Pi Processbook Gleitender Durchschnitt

ADMs Reise zu einem Enterprise Agreement Presenter: Scott Harmeier. Archer Daniels Midland Company Scott wird ADMs Reise von seiner anfänglichen PI-Implementierung durch die Fertigstellung seiner Unternehmensvereinbarung teilen. ADMs Nutzung der PI-System hat sich im Laufe der Jahre entwickelt, da es die Macht der Daten realisiert, um seine Prozess-Operationen zu verbessern. Schließlich war der Wunsch, Prozessdaten in Informationen umzuwandeln, die auf alle Ebenen des Unternehmens anwendbar waren, in der Verfolgung eines Unternehmensvertrages gipfelte. Scott wird die Ereignisse und die Motivation, die zum Unternehmensvertrag führen, erläutern und die Methoden diskutieren, die verwendet werden, um das obere Management zu überzeugen, dass die Unternehmensvereinbarung eine gute Passform für ADMs langfristige Ziele war. Kundenpräsentation Highlight Während jeder User Conference liefern unsere Moderatoren unterhaltsame, kreative und informative Gespräche. Es gibt immer zwei oder drei Vorträge, in denen neuartige Datensätze, innovative Anwendungsfälle oder neue Ansätze für langjährige Probleme uns überraschen und uns mehr erfahren wollen. In dieser Keynote präsentieren unsere MC Christoph Papenfuss und Andrew Fanara Highlights aus diesen herausragenden Sessions, um dem ganzen Konferenzpublikum einen Vorgeschmack darauf zu vermitteln, was in diesen Sessions vor sich ging. 2014 Releases: Kundenperspektiven Diese Rede konzentriert sich auf aktuelle und kurzfristige Produktversionen. Coresight Mobile, ProcessBook Viewer, Event Frames, PI Cloud Connect und AF Analytics werden präsentiert. Eine Reihe von PI-Kunden werden sich bei diesem Vortrag bei OSIsoft beteiligen, um ihre aktuelle oder geplante Nutzung dieser Releases zu diskutieren und den Wert, den diese Veröffentlichungen an ihre Organisationen bringen. FELD MOUS: Ein technisches Daten-Repository für die Aktivierung der JIT-Entscheidung Making Presenter: Francisco Castillo, Ph. D. PMP Senior Vice President und Chief Information Officer Maynilad Water Services, Inc. Eine Herausforderung in jedem Unternehmen ist es, genau zu verstehen, wo Sie zu einem bestimmten Zeitpunkt in der Zeit sind, ob dies finanziell oder operativ ist. Für Operationen ist die Herausforderung besonders akut, da die benötigten Informationen in mehreren Quellen liegen, von denen einige geschlossen und schwer zu extrahieren sind. Darüber hinaus wurden technische Datenquellen traditionell nicht von IT-Abteilungen gepflegt, da es keine fachliche Kompetenz im Umgang mit diesen technischen Systemen gibt, sowie mangelnde Kenntnisse über das, was die Anwender tatsächlich benötigen. Dieser Vortrag konzentriert sich auf das getaufte FELD MOUS System (Field MOnitoring User System), das im Wesentlichen ein PI-System ist, das als Repository von technischen Daten fungiert, in die verschiedene Abteilungen ihre Daten anschließen und andere Abteilungen auf ihre speziellen Bedürfnisse zugreifen. Dies ist ein langfristiges, stufenweises Projekt, das darauf abzielt, alle benötigten technischen Daten zu sammeln und Berichte und Analysen zu erstellen, die auf den tatsächlichen technischen Anforderungen basieren. Anwendungen, die entwickelt wurden oder im Zuge der Entwicklung sind, umfassen Telemetrie, Automatisierung, konventionelle Messtechnik und AMR, Verlustanalyse (NRW), Dashboards, CBM und Druckmanagement. Es schließt mit den tatsächlichen Nutzen aus dieser Umsetzung. Sein Ihr Schiff: Erreichen Sie Durchbruch Leistung Presenter: Kapitän Mike Abrashoff. Ehemaliger US-Naval Commander, Leadership-Verstärker Performance-Experte, Best Selling Autor Als Mike Abrashoff Kommandant der USS Benfold wurde, war er der Junior Commanding Officer in der Pazifik-Flotte. Die Herausforderungen an diesem Underachieving-Zerstörer stolperten mit einer niedrigen Moral und der höchsten Umsatzrate in der Marine. Seine Lösung war ein System, das er die Leadership Roadmap nannte. Itrsquos ein Prozess der Re-Vorstellung Führung und ersetzt Befehl und Kontrolle mit Engagement und Zusammenhalt. Indem er die Herzen, Köpfe und Loyalitäten seiner Matrosen betreute, erreichte er einen operativen Erfolg, der nie zuvor erreicht wurde. Durch Überzeugung und Demut verlobte Abrashoff seine junge Mannschaft durch Ermächtigung. Er glaubte, das Wichtigste, was ein Kapitän tun kann, ist, das Schiff durch die Augen des crew. quot zu sehen. Nach dem Verlassen der Marine Abrashoff Mitbegründerin GLS Worldwide und hat mit mehr als 1.000 Organisationen gearbeitet, von Non-Profits bis Fortune Zehn Unternehmen, die auf allen Ebenen Führungsinitiativen einbringen können. Indem er den Wert bekennt, dass jeder Einzelne die Verantwortung für die Erreichung von Exzellenz teilen kann, hat er eine phänomenale Veränderung an einigen der unerwartetesten Orte bewirkt. "Ihr Schiff, Abrashoff würde auf dem Benfold sagen, das ist ein Wort in ganz Amerika geworden. Umzug in eine Real-World-Welt: Event Traffic, Data Ecosystems und Collaborative Innovation Als fortgeschrittene Sensoren, mobile Technologie und das Internet der Dinge eine Flut von operativen Daten, Führer suchen, wie man auf ldquobig Daten. rdquo Dr. Kennedy wird diese Adresse zu nutzen Auftauchende Trends und wie OSIsoftrsquos grundlegende Mission, um sicherzustellen, dass Kunden Zugang zu ihren Daten haben, wann immer, aber und wo immer erforderlich, bleibt von grundlegender Bedeutung in diesem Umfeld. Wenig Daten bedeutet großes Geld, ob auf dem Werksboden oder in der C-Suite die Betriebsdaten weiterhin als Grundlage für eine fundierte Entscheidungsfindung dienen. Dr. Kennedy wird diskutieren, wie ein PI-System-Ansatz dazu dient, kritische Daten zu gestalten, zu validieren und zu schützen, um genaue, nachvollziehbare und umsetzbare Informationen zu erstellen. Skalierung, Flexibilität und Konnektivität ldquoBigrdquo Daten starten so wenig Daten. Im Laufe der Zeit haben sich die PI-System-Benutzer von der Überwachung einzelner, kritischer Assets bis hin zu Pflanzengebieten bis hin zu ganzen Anlagen und schließlich über Anlagen entwickelt. Da die Barrieren für eine effiziente Konnektivität gesenkt werden, verstärken die vom PI-System unterstützten Datenökosysteme Connected Services, Transportation und Smart City-Initiativen. Partner: Andere Unternehmen bieten Software für Instrumentierung, Analyse oder Dienstleistungen, die unsere Kunden benötigen. Im vergangenen Jahr hat OSIsoft beschlossen, unsere Beziehung zu diesen Unternehmen durch ein verbessertes Partnerprogramm zu verbessern. Wir finden weiterhin die anderen Unternehmen, um unsere Produkte besser zu integrieren und unseren Kunden zu bedienen. Im Einklang mit unseren Kernwerten als technologischer Fortschritt arbeitet OSIsoft für jeden Kunden. Industrielle Anwender betrachten das Leben einer Prozesseinheit in der Größenordnung von 50 Jahren, so dass Software mit einer Lebensdauer von 5 Jahren einfach nicht akzeptabel ist. Unser Ziel ist es, das passende System für heute zu bauen, während wir unsere Nutzer zukunftsweisen und ihre Investition schützen und das Unternehmen so gut genug halten, dass es so weiter geht. Setzen Sie sich auf die Karte: Die Fusion des PI-Systems Esri ArcGIS Esri ermöglicht es Unternehmen, Daten und Anwendungen zu maximieren, indem sie die Wo in ihren Unternehmensdaten aufdecken. Esri ArcGIS erweitert den Wert traditioneller Unternehmensanwendungen durch die Integration von GIS (geographische Informationssysteme), um Ihnen bei der Visualisierung, Frage, Analyse, Interpretation und dem Verständnis von Daten zu helfen. Es besteht aus einer skalierbaren Plattform, die in der Cloud, auf mobilen Geräten und in bestehenden IT-Systemen arbeitet. Das Ergebnis ist der Zugang zu besseren Informationen für Organisationen auf jeder Ebene, die Beziehungen, Muster und Trends, die sonst bleiben weg gesperrt werden. OSIsoft und Esri arbeiten zusammen, um sicherzustellen, dass Sie die Leistung Ihrer Daten mit GIS nutzen können. Durch die Anzeige von Echtzeit-Netzwerkdaten und historischen Informationen auf einer Karte können Sie Muster auf der Grundlage von Geographie sehen und eine räumliche Analyse durchführen. Die Kombination von Esri ArcGIS das PI-System bringt Ihre Daten zum Leben und bringt Sie auf die Karte Realisierung der Macht von (Ihre) Daten Big Daten, Power BI, Mobilität was bedeuten sie wirklich zu Ihrem Unternehmen und wie können sie Ihren Boden verbessern Line Die Nutzung der Informationen, die Sie bereits auf neue Weise haben, können Ihnen helfen, nicht nur mehr mit weniger, sondern NEU mit weniger. Hören Sie über die innovativen Möglichkeiten, wie Unternehmen und Regierungen eine ihrer größten Vermögenswerte nutzen, um Einblicke, Effizienz und Sicherheit zu erhöhen. Syngenta Enogen Business Fallstudie: Unsere Evolution zu vernetzten Diensten Syngentas Enogen-Unternehmen nutzen das OSIsoft PI-System erst seit mehr als zwei Jahren und haben es bereits zu einem Kern - und integralen Bestandteil der Strategie gemacht, dieses neue, aber kritisch wichtige Syngenta schnell zu erweitern Geschäft. Die Präsentation wird die Transformationsreise überprüfen, die das Enogen-Team unternommen hat, was die Verwendung von vielen der neuesten OSIsoft PI - und Microsoft-Technologien einschließlich Windows Azure, Asset Framework und Event Frames beinhaltet. Syngenta hat vor kurzem auch eine neue Lizenzvereinbarung zur Bereitstellung von Connected Services für Stakeholder-Werke eingeleitet. Dies ermöglicht dem Enogen-Team die Nutzung der PI-Arbeit, die ursprünglich für den internen Gebrauch mit den Anlagen durchgeführt wurde, die die Daten liefern und die verwalteten Informationen mit der PI-Suite von analytischen, Berichts - und Visualisierungswerkzeugen teilen. Der Connected Services-Ansatz wird derzeit an einem wichtigen Ethanol-Pflanzen-Stakeholder pilotiert. System-Zuverlässigkeit Columbia Pipeline Group Für die Columbia Pipeline Group (CPG) als Branchenführer im Kundenservice und um die Anforderungen unserer extrem wettbewerbsfähigen Branche zu erfüllen, müssen wir mit einer hohen Zuverlässigkeit sicher und effizient arbeiten. CPG bedient einige der Nationen mit der höchsten Energiemärkte über unsere Erdgasübertragungs - und Lagereinrichtungen. Die zwischenstaatliche Pipeline erstreckt sich über 15.000 Meilen und erstreckt sich über 16 Staaten mit ca. 1,1 Millionen PS Kompression in über 100 Stationen untergebracht. In der Columbia Pipeline Group ermöglicht der OSIsoft Enterprise Agreement die Nutzung der führenden Technologie, um Big Data Entscheidungen zu treffen. Wir analysieren Echtzeit-Daten zur Vermeidung von Anlagenereignissen durch die Anwendung von OSIsoft-, Microsoft - und Transpara-Tools mit einer geschätzten Fehlervermeidungsersparnis von etwa 2 Millionen. Analyse und Überwachung der Daten erlaubte CPG, vor kurzem einige der kältesten Liefertage in 30 Jahren zu bewältigen. Am 6. und 7. Januar, CPGs Durchsatz rangiert in den Top fünf all-time höchsten Spitzenzeiten seit 1981. Während Nordost-Nachfrage wurde Rekord-Level während der Polarwirbel, Columbia Pipeline Gruppen Vermögenswerte verlief zuverlässig ohne Erdgas Lieferung Unterbrechungen. Ein Kunde hat die Wertschätzung geäußert, ich wollte mich bei allen bei CPG bedanken, um uns zu helfen, unsere Kunden zuverlässig und sicher zu bedienen durch einige der schwersten Bedingungen, die in Jahren, vielleicht Jahrzehnten, erlebt wurden. Jüngste Ereignisse belegen, dass die Fähigkeit, potenzielle Ausfälle frühzeitig zu erkennen, einen ungeheuren Wert nicht nur CPG, sondern auch unsere Kunden und die Umwelt bietet. Die Macht der Datenentscheidung, die in Echtzeit bereit ist, Jenny Kennedy Linton - Präsident und Martin Otterson - Senior Vice President, begrüßt die Teilnehmer auf unserer 25. jährlichen Konferenz. Sie werden dann unser Konferenzthema vorstellen: Power of Data - Entscheidungsfindung in Echtzeit, die von unseren drei Hauptthemen unterstützt wird Die Macht der Verbindung, Entfesseln Sie Ihre Infrastruktur und Informationen auf dem Spot. Die zweite Maschinenzeit Andrew teilt die wichtigsten Themen aus seinem neuen Buch The Second Machine Age veröffentlicht im Januar. Es beschreibt seine Überzeugung, dass wir an einem Wendepunkt die frühen Stadien einer Verschiebung so tief wie das, was von der industriellen Revolution gebracht wurde, und durch das unerbittliche Wachstum der Rechenleistung, Massendatenplanung und rekombinante Innovationen eingeleitet wurden. Der Weg, den wir erleben Einblick (BI und Big Data) Power BI für Office 365, ein Cloud-basierter Business Intelligence Service, der den Menschen eine leistungsfähige neue Möglichkeit gibt, mit Daten in den Tools zu arbeiten, die sie jeden Tag verwenden, Excel und Office 365. Mit Excel Sie können jetzt Daten entdecken, analysieren und visualisieren, wie nie zuvor, um wertvolle Geschäftseinblicke zu finden. Mit Power BI für Office 365 Kunden können problemlos eine Cloud-basierte BI-Umgebung implementieren, in der Menschen Einblicke teilen, zusammenarbeiten und auf Berichte zugreifen können. Diese Sitzung wird sich darauf konzentrieren, Power BI für Office 365 in Aktion zu sehen. Durch eine Vielzahl von Datenerforschungs - und Visualisierungsbeispielen sehen wir, wie Microsofts neue BI-Lösung mehr Benutzern ermöglicht, Einsichten zu erleben und Gleichgewicht zwischen Self-Service BI und IT-Operationen zu schaffen, was ein wichtiger Beschleuniger für die Adoption ist. Mit Power BI für Office 365 kommen Daten aus Windows Azure, Office und vor Ort Datenquellen wie OSIsoft PI in modernen, zugänglichen BI-Erfahrungen zusammen. Führen Sie Ihre Investition in die PI-Infrastruktur vor: PI Server 2014 In dieser Sitzung zeigen wir Ihnen, wie sich der kommende PI Server 2014 auf vielen Facetten Ihres PI-Systems verbessern wird, so dass Sie die Leistung Ihrer PI-Infrastruktur problemlos entfalten können. Stellen Sie sich vor, mehr Ergebnisse für noch mehr Benutzer zur Verfügung zu stellen - Sie können das haben, plus erhalten zukünftige Zeitstempel. Treten Sie mit uns in Verbindung und sehen Sie, was im Speicher für den 2014 PI-Server ist. Kommen Sie zu einem PI-System in Ihrer Nähe In dieser Sitzung, die für diejenigen mit einer guten Kenntnis des PI-Systems geplant ist, zeigen wir Ihnen einen schnellen Überblick über das, was im PI-System neu ist und was im nächsten Jahr gearbeitet wird. Dieses Gespräch wird Ihnen helfen, unsere Produkt-Roadmap zu verstehen und geben Ihnen einen besseren Einblick in die am besten geeigneten Orte, um Ihre Zeit in diesem Jahr User Conference zu verbringen. Verbinden von Raum und Zeit - OSIsoft und Esri Bei der Anwenderkonferenz 2013 kündigte OSIsoft eine Partnerschaft mit Esri an, dem Goldstandard für Geoanalyse und Karten. Diese Partnerschaft hat zur Schaffung eines Produktes geführt, PI Integrator für Esri ArcGIS, das Echtzeit-Karten für das Unternehmen einfach macht. Die verpackte Lösung liefert PI-Systemdaten in das Herz der Esris ArcGIS-Plattform, wo sie wunderschöne, aufschlussreiche Karten und Kräfte in Echtzeit-Geoanalyse belegt. Diese Sitzung wird eine eingehende Tour durch seine Fähigkeiten und Erfahrungen zu nehmen. Erfahren Sie, was die einfache Konfigurationserfahrung für Administratoren mit sich bringt, und sehen Sie dann die beeindruckenden Ergebnisse von PI-Systemdaten, die eine Karte färben und geospatiale Analytik füttern. Verbinden des Inquisitiven Unternehmens: OSIsoft und Microsoft Power BI Kommen Sie und sehen Sie, wie neue Werkzeuge für eine verbesserte Entdeckung des Prozessverhaltens oder für eine optimale Entscheidungsfindung innerhalb Ihrer Organisation verwendet werden können. Neue Technologien haben sich dazu entschlossen, Daten über die Informationsschicht hinaus zu nehmen und sie in Intelligenz zu verwandeln. Microsoft Power BI für Office 365 bietet innovative Analysewerkzeuge und neue Möglichkeiten, um mehr Benutzer mit PI-Systemdaten zu verbinden. Der neue PI-OData-Service richtet die PI-Infrastruktur mit diesen Technologien aus, indem sie den Datenzugriff über Microsoft Power Query für Excel 2013 vereinfacht. Diese Sitzung demonstriert diese neuen Anwendungen, einschließlich Power QA, die Fragen mit PI-Systemdaten an Ort und Stelle beantworten können. Verbinden von Web - und mobilen Anwendungen mit dem PI-System Verbinden von Personen und Prozessen mit PI-Systemen durch Cloud-fähige Web - und mobile Anwendungen, dh die Leistungsfähigkeit der PI-Web-API - und PI-Cloud-Access-Systeme. Die Kombination dieser Technologien ermöglicht eine neue Klasse von Webmobil-, Cross-Plattform - und Cross-Business-Datenaustauschanwendungen. Diese Sitzung wird die Anwendungsentwicklungsmöglichkeiten hervorheben, die diese Technologien bieten und die Vision und den Fahrplan abdecken werden. Erkennen, Visualisieren und Handeln: Wie man Kontext für kritisches Ereignis bietet PI Event Frames ermöglicht es Kunden, wichtige Prozess - oder Geschäftsereignisse wie Ausfallzeiten, Prozessausflüge, Startups und andere Ereignisse mit Start - und Endzeit aufzuzeichnen und zu finden. In dieser Session werden wir die PI Event Frames Unterstützung über das PI System machen. Nehmen Sie an, wie Sie die Macht der Ereignisse in Ihrem PI-System nutzen können. Eventuelles Reporting mit PI DataLink 2014 PI DataLink 2014 macht das PI System Reporting noch besser, indem es über Ereignisse und das Bohren in historische Daten berichtet, indem es Unterstützung für PI Event Frames einführt. Es macht auch die Lokalisierung von Assets auf der Grundlage von Kriterien aus PI Asset Framework Vorlagen brennen schnell mit einer neuen Vorlage basierte Suche. Weitere Verbesserungen beinhalten schnellere allgemeine Suche und Navigation, verbesserte Metadaten und vieles mehr. Kommen Sie zu dieser Session, um alle Highlights der letzten beiden Releases und die kommende Veröffentlichung von PI DataLink zu sehen. Evolution der OSIsoft Developer Community: Was man wissen muss, da sich das PI-System von einer Welt von Servern und Desktops zu einer Welt von Diensten und Geräten entwickelt, muss sich auch die Unterstützungsstruktur für unsere Entwicklergemeinschaft entwickeln. OSIsoft etabliert, was wir als die PI-Entwicklerplattform bezeichnen, die darauf ausgerichtet ist, moderne Entwicklungsbemühungen zu unterstützen und es den Entwicklern zu erleichtern, die Werkzeuge und die Unterstützung zu erhalten, die sie benötigen. Unser oberstes Ziel ist es, Ihnen alles zu bieten, was Sie brauchen, um ein erfolgreicher Entwickler zu sein, um die Macht der Daten zu entfalten. Dies gilt für OSIsoft Partner und Kunden gleichermaßen. Einige Technologien werden offen und leichter zugänglich, während andere im Laufe der Zeit veraltet werden. Dieses Gespräch wird auf diese Konzepte erweitern, geben Ihnen eine bessere Idee, was wir tun, um in unsere Entwickler-Community zu investieren, und sprechen Sie, wie das Auswirkungen auf Sie. PI Batch-Benutzer: Batch-Migration zu PI-Event-Frames Dieser Vortrag ist für PI Batch-Kunden. Hier gehen wir in Details von OSIsofts-Plänen, um PI-Batch-Daten in PI-Event-Frames im PI-Server 2014 zu migrieren. Wir geben Demos auf aktuelle Möglichkeiten, um Batch-Events im PI-System zu visualisieren, einschließlich PI Coresight und PI Data Link. PI Coresight 2014: PI ProcessBook in Ihre Pocket setzen Setzen Sie fort, bestehende Visualisierungsinvestitionen zu nutzen und mit den Geräten zu beginnen, die Ihre Benutzer anfordern. PI Coresight 2014 unterstützt PI ProcessBook Displays und kann auf jedem Gerät, ob innerhalb oder außerhalb des Unternehmens, eingesehen werden. Wir werden zeigen, wie einfach es ist, PI ProcessBook-Displays in praktisch jedem Browser zu importieren und zu betrachten und über die Vorteile und Begrenzung dieser großen neuen Fähigkeit von PI Coresight 2014 zu sprechen. PI System 101: Grundlagen für Anfänger Sind Sie brandneu im PI System Ein Endbenutzer ist unsicher, wohin Ihre Daten von einem PI-Systemadministrator kommen, der über neue Werkzeuge informiert werden muss. Kommen Sie zu dieser Sitzung, um herauszufinden, worum es bei dem PI-System geht, wie die Infrastruktur Ihrer Organisation zugute kommen kann Um eine hohe Demonstration zu sehen, wie Kunden mit unseren Werkzeugen arbeiten, um Einblick in ihre Prozesse zu gewinnen. Diese halbstündige Sitzung gibt Ihnen die Grundlagen, die Sie benötigen, um viele der anderen Präsentationen zu verstehen, die während der Konferenz verfügbar sein werden. Heben Sie den IQ Ihrer Datenquellen mit intelligenten PI-Connectors an Der Wert neuer Asset-basierter PI-Interfaces liegt in der Nutzung von Metadaten, die bereits in vielen Datenquellen verfügbar sind. Mit den verringerten Konfigurationszeiten und dem erhöhten Kontext um die PI-Systemdaten verringert diese Technologie die Zeit, die benötigt wird, um neue Daten in das PI-System zu bringen und diese Daten leichter zu erkennen. Kommen Sie und erfahren Sie aus erster Hand über die neue Generation von PI Interfaces. Die Macht einer vernetzten Supply Chain Ein Jahr nach der Enthüllung von PI Cloud Connect als OSIsofts erstes SaaS-Angebot, wird diese Session ein Update über die Technologie und wie Kunden nutzen sie seit für die Bereitstellung von unternehmensübergreifenden Datenaustausch. Erfahren Sie, wie Sie unsere neuen Connected Services nutzen können. Entfesseln Sie die Macht der großen Daten Das Hadoop-Ökosystem bietet eine Vielzahl komplementärer Werkzeuge, um alle Daten im PI-System zu analysieren. Diese Sitzung wird zeigen, wie man Hadoop auf die Lösung von drei gemeinsamen Business-Problem-Muster anwenden: Finden von Ausnahme Bedingungen über eine ganze Reihe von Geräten, Korrelation viele verschiedene Variablen und Batch-Verarbeitung Dateien. In jeder Demonstration wird das daraus resultierende Wissen durch die Einspeisung der Ergebnisse in die Echtzeitfähigkeiten des PI-Systems operationalisiert. Was soll ich tun, um mein PI-System gegen Cyber-Bedrohungen zu verhärten, die von der US-Cyber-Challenge inspiriert wurden, schuf OSIsoft eine für unser eigenes PI-System. Diese Mission verbindet OSIsofts am besten und am hellsten mit der am häufigsten gestellten Frage nach dem PI-System und der Cyber-Sicherheit: Was soll ich tun, um mein PI-System gegen Cyber-Bedrohungen zu verhärten. Während dieser Sitzung werden die preisgekrönten Herausforderer zur Hand sein, um ihre Sicherheit verhärtet zu demonstrieren PI-System läuft in der Azur-Wolke. Kommen Sie zu sich selbst und lernen Sie, welche Härtungstechniken am besten beurteilt wurden und warum. Warum das Internet der Dinge Mega-Trend wird den Wert Ihrer PI-Infrastruktur erhöhen Mega-Trends wie das Internet von Sachen und Maschine zu Maschine haben in der industriellen Gemeinschaft Aufmerksamkeit erlangt, weil jeder das Potenzial hat, die Art und Weise zu stören und radikal zu verändern Geschäfte machen. Endpunkte werden immer schlimmer und Netzwerke werden immer robuster. Als zusammenhängendes Unternehmen, wie werden Sie diese Daten mit der PI-Infrastruktur erfassen und Entscheidungsfindung treffen Diese Sitzung wird die Herausforderungen, Chancen und Wert-Szenarien, die unsere PI-System-Unternehmen Benutzer. Eine Reise in ein integriertes Raffinerie-Informationssystem mit dem PI-System In der Raffinerie Rijeka wurden seit den 1990er Jahren verschiedene digitale Steuerungs - und Überwachungssysteme implementiert. Verschiedene Systeme sind auf eigene Faust mit separaten Infrastruktur - und Konsolenstationen. Im Laufe der Zeit waren einige Historiker für das Business-Netzwerk zugänglich, aber es gab keine wirkliche Integration von Daten. Durch die Anbindung aller Steuerungs - und Überwachungssysteme über das PI-System haben wir Prozessdaten aus verschiedenen Systemen integriert. Daten aus verschiedenen Nicht-Prozess-Systemen - Labordaten, Umgebungsüberwachung, Materialbewegungen und manuell eingegebene Daten - wurden ebenfalls integriert. Das PI-System und die integrierten Daten gaben dem Anwender eine Infrastruktur, um diese Daten an verschiedene Bedürfnisse und Systeme wie Materialbilanz (Sigmafine), Planung und Terminierung (Orion), Umwelt, Produktion, Asset Management etc. zu liefern. Grafische Visualisierung von Daten und Verteilung auf Unternehmen Netzwerk wird mit Synthesis (SharePoint und PI WebParts) erreicht, damit jeder im Business-Netzwerk sofortige Informationen über Raffinerieprozesse erhalten kann. Die Reise in ein integriertes Raffinerie-Informationssystem begann mit der Verbindung von Insassen von Steuerungssystemen zu einem PCN, dem Aufbau eines Serverraums und dem Serverpark, die Erstellung einer DMZ-Zone für PI-Server und die Anbindung an das Business-Netzwerk. Nach der Vorbereitung der Infrastruktur-Datenintegration begann der Aufbau von OPC-Verbindungen zu Steuerungssystemen und Schnittstellen zu Nicht-Prozessdaten. Schnittstellen zu Nicht-Prozessdaten wurden mit PI SDK und Visual Basic erstellt, während die Steuerung von Schnittstellen zum Lesen von Daten und die automatische PI-Punkterstellung im PI AF erfolgt. PI System integrierte Daten ist weit verbreitet in vielen Berichten, Analyse, Berechnungen und Visualisierung über breite Interessengruppen in Raffinerie und Unternehmen verwendet, um eine bessere Einsicht und Kontrolle der Raffinerie Prozesse zu erreichen. CPMS Umweltüberwachung bei Erdgasübertragungseinrichtungen Presenter: Zacharie Mupeo. Southern California Gas Company Southern California Gas Company (SoCalGas) veränderte sich von der Bewältigung der Umwelt-Monitoring-Vorschriften mit Arbeitskräften und Papier und Bleistift zu einem Stand der Technik 21. Jahrhundert Monitoring-System in weniger als drei Jahren. SoCalGas ist das größte Erdgasverteilungsnetz der Nationen, und das SoCalGas-Servicegebiet umfasst Gelände in Zentral - und Südkalifornien, von Visalia bis zur mexikanischen Grenze. Viele der von RICE NESHAPS betroffenen SoCalGas-Kompressorstationen sind Hunderte von Kilometern von der zentralen Gaskontrollbasis entfernt und viele sind unbemannt. Die am 01. April 2013 verabschiedeten Verordnungen wirkten sich direkt auf diese Getriebe-Kompressor-Stationen aus. Diese Präsentation deckt die SoCalGas-Chance ab, eine Grundlage für die Bewältigung von Umweltvorschriften zu schaffen, einschließlich, aber nicht beschränkt auf RICE NESHAPS, GHG, lokale Luftbezirksregeln und Titel V Genehmigungsbedingungen. Das PI-System ist die Basis für den SoCalGas-Quantensprung in der Datenerfassung und - überwachung. Zu den Themen, die diskutiert werden, gehören: Reduzierung von 504 Mannstunden für die Bestimmung der RICE NESHAPS-Compliance Automatisierte Berichtsgenerierung, Konsistenz der Datenverarbeitung Verwendung von MS EXCEL. VBA, PI Data Access Tools Aufbau eines Systems bestehend aus 6 entfernten Stationen plus Zentralstation für Datenaggregation, Überwachung und Zugriff auf Stationsdaten für Nichtstationspersonal. Verwendung von PI-PI über WAN Jede Station verfügt über einen dedizierten PI-Server Verwendung von MS Active Directory und PI Identitäten, zur Autorisierung Datenrationalisierung und Systemgesundheitsüberwachung Nutzung von OSIsoft Partner Services und PI Erweiterungen Compliance Assurance Funktionen wie Berechnungen, Alarmerkennung, Benachrichtigung , Vorfall-Annotation und Reporting Datenrationalisierung und Systemgesundheitsüberwachung Aufbau einer Umgebungsdateninfrastruktur Fähigkeit, Geräte und Messungen hinzuzufügen Hohe Zuverlässigkeit und Verfügbarkeit von Daten Datenvalidierungsmodul Unterstützt Echtzeit-Entscheidungsprozess CEMEX gestartet mit dem PI-System für Echtzeit - Zeit-Datenerfassung, um eine Anlage effizient zu betreiben, aber seitdem entwickelt sie ihren Einsatz und integriert Qualität Daten, Produktion Validierte Daten, Energiemanagement und Emissionsmanagement. CEMEX nennt diese Entwicklung die Zement-Produktions-Management-Initiative (CPM) und hat die PI-Systemarchitektur als eine entscheidende Plattform innerhalb von CEMEX etabliert. Die jüngste Einbindung in dieses Modell ist das Data Validation Module. Dieses System ermöglicht es CEMEX, Echtzeitdaten aus der Fertigungslinie zu sammeln und den Anlagenadministratoren zu präsentieren, die die Daten validieren können, indem sie Echtzeitanpassungen an Produktionsvariablen durchführen. Sobald Daten validiert wurden, kann der Anlagenadministrator die Daten in Sekundenschnelle an SAP senden. Dieses Modul hat einen echten Wert, da es Echtzeit-Daten von der Produktionslinie bis zur ERP-Plattform liefert. Verbesserte Entscheidungsfindung durch Integration von Echtzeit - und Geschäftsdaten Diese Präsentation bietet einen Überblick über eine Implementierung von Chevron Gulf of Mexico Business Unit, die die OSIsoft Software Suite einsetzt, um den Benutzer Community den Zugriff auf Echtzeitdaten mit wichtigen Geschäftsdaten für den Kontext zu verbessern Rechtzeitige und informierte Geschäftsentscheidungen ermöglichen. Die User Community und das Automatisierungsteam waren in allen Phasen der Projektumsetzung tätig. Eine stufenweise Implementierung beinhaltete Upgrades, Stabilisierung und Erweiterung der bestehenden Infrastruktur. Die Fähigkeit der PI-AF-Software, Echtzeit-Prozessdaten mit ausgewählten Geschäftsinformationen zu kombinieren, war der Schlüssel zum Projekterfolg. Die Präsentation umfasst die Integration von Schlüsseldatenpunkten aus anderen Systemen (CMMS, Produktionszuteilung etc.) und die Vorteile und Einschränkungen bei der Nutzung der PI Asset Framework Software mit der Integration von PI WebParts auf SharePoint. Es wird veranschaulichen, wie die Software rollenbasierte Navigation verwendet, um den Benutzeraufwand zu reduzieren, indem sie ihnen erlauben, nach Echtzeitdaten durch eine Baumansicht zu suchen, anstatt nach einem Tagname zu suchen. Es wird auch diskutiert Best Practices verwendet, um langfristige Nachhaltigkeit der Lösung durch Front-End-Definition des Governance-Prozess zu gewährleisten. Dieser Prozess definiert eine Standard-Namenskonvention, um alle Tags und Elemente im zentralen Server umzubenennen und standardisierte Vorlagen und Grafiken zu entwickeln, um Daten für alle Benutzer zugänglicher zu machen und die laufende Datenintegrität zu gewährleisten. Abschließend zeigt die Präsentation, wie PI AF und PI WebParts es einfacher machen, Echtzeitdaten mit Geschäftsdaten für einen Einstieg einkaufen zu können. Verbesserung der Echtzeit-Prozess - und Betriebsüberwachung Petronas Carigali ist der PETRONAS-Arm, der für die vorgelagerten Aktivitäten vom Reservoir bis zum Terminal verantwortlich ist. Um sicherzustellen, dass Operationen, Prozesse und Aktivitäten effizient durchgeführt werden, müssen alle Daten zuverlässig, gute Qualität und Echtzeit sein. Diese Präsentation erklärt die geschäftlichen Herausforderungen und wie das PI-System dazu beigetragen hat, diese Herausforderungen zu bewältigen. Die jüngste Implementierung in der Erb West Platform (Ost-Malaysia) unter Verwendung von Echtzeit-Prozessdaten, Safe Operating Limit und Critical Operating Limit Initiativen wurden automatisch in Echtzeit durchgeführt, was einen signifikanten ROI in Bezug auf Einsparungen bei Arbeitsstunden und ungeplante Abschaltzeiten bedeutet. Estrategia de Ventanas Operativas en PEMEX (Strategie für den Betrieb von Windows bei PEMEX) Petroleos Mexicanos (PEMEX) ist das größte Unternehmen in Mexiko und eines der größten Ölkonzerne weltweit. In einer seiner Divisionen, Pemex Refining, hat die Produktionsabteilung beschlossen, die Umsetzung des Programms Ventanas Operativas (VOs) an ihren Arbeitsplätzen zu starten, so dass der ordnungsgemäße Betrieb von Anlagenanlagen die Betriebssicherheit in ihren Produktionsanlagen verbessern wird. Der Unternehmensbereich Corporate Information Technology hat eine Anwendung mit einer Unternehmensvision entwickelt, die alle Bereiche des Unternehmens umfasst und mit modernster Technologie arbeitet und sich ganz auf die Bedürfnisse von Geschäftskunden konzentriert. Erfahrung mit PI Cloud Connect Für JV Data Sharing Hess Corporation ist ein globales Energieunternehmen, das sich mit der Exploration und Produktion von Öl und Erdgas beschäftigt. Im Golf von Mexiko (GOM) ist Hess Betreiber von und hat berufliche Interessen an sechs großen Tiefsee-Ölfeldern. Drei weitere Felder befinden sich derzeit in der Entwicklung. Im Jahr 2006 wurde Hess von ihrem JV-Partner Shell in den Industrial Evolutions WellShare Service eingeführt. Es verwendet eine PI-Systemschnittstelle, um Daten zu sammeln, zu transformieren und zu verwalten und sie einem Empfänger zuzuführen. In diesem Fall wurde eine PI-to-PI-Schnittstelle verwendet, um Daten aus dem Shells GOM PI System über ein sicheres VPN nach Shells Sicherheitsstandard zu sammeln, es in den Hesss Standard umzuwandeln und es dem Hesss PI System entsprechend ihren Sicherheitsstandards zuzuführen. Nach dem anfänglichen Erfolg verlängerte Hess die Nutzung von WellShare auf zusätzliche Vermögenswerte und JV-Partner in der Nordsee sowie die GOM, von denen einige nicht PI-Systembenutzer waren. Sie fügten später WebTechnician von Industrial Evolution hinzu, um Echtzeitdaten aus den gleichen Ölfeldern mit Drittanbietern zu teilen, die entfernte technische Dienstleistungen bereitstellen. Während VPN-Technologie und Leistung für Hess akzeptabel waren, stellte es eine Unterstützung Belastung für die Organisation. Als OSIsoft die PI Cloud Connect CTP angekündigt hat, entschied sich Hess, seine Eignung zu erforschen. Ihre Idee war, eine der PI-to-PI-Schnittstellen zu ersetzen, um die Verwendung des VPN zu vermeiden. Hesss Geschäftsmodell wäre noch, WellShare zu benutzen - mit anderen Worten, Hess würde PI-Systemdaten in Industrial Evolution als Abonnent veröffentlichen, nicht der JV-Partner. Heß würde sich immer noch auf Industrial Evolution verlassen, um Daten zu veröffentlichen, die sie an autorisierte JV-Partner erhalten, die Hesss kommerziellen und technischen Unterstützungspflichten klar abgrenzen. Diese Präsentation beschreibt Hesss erste Erfahrungen bei der Verwendung von PI Cloud Connect in einer Produktionsumgebung. Es wird Themen wie einfache Implementierung, Sicherheit, Leistung und Unterstützung behandeln. Implementierung des PI-Systems als Werkzeug zur Erstellung von Betriebsberichten Produktionsfelder in der Ölindustrie haben ihre Steuerungs - und Messsysteme modernisiert, um Mess - und Betriebsdaten zuverlässiger zu machen. Allerdings gibt es kritische Informationen auf dem Gebiet, das manuell durch physische Berichte gesammelt wird, auch wenn es Automatisierung gibt. Time spent by engineers in gathering, setting up and sending this data causes loss of effort and time better spent on analyzing the information. The Operational Management Information System (SIGO for its acronym in Spanish) was developed to optimize operational information management for upstream oil fields in Rubiales and Quifa It takes advantage of automation infrastructure installed in the field and uses the PI System as a tool for operational information management, assurance and visualization as well as reporting and monitoring process indicators available in crude oil production fields. The PI System integrates a PI Server with a data base where historic information gathered manually in the field, data received from oil production specialized analysis systems and data from SCADA system are stored. PI AF is used to organize the stored information. PI ACE is used to optimize information analysis through advanced calculations. PI Web Parts is integrated with a Sharepoint platform to visualize the information in a web environment. PI Data Link makes the information available in Excel. PI ProcessBook displays in graphics the information and PI CoreSight works as a display manager for the web environment in mobile devices (iPod, iPad or iPhone). Improving Operational Performance with the PI System At Wheelabrator Technologies Inc, efficient boiler operation was not a top priority but in todays operating environment, with falling energy prices and decreased waste volumes, the focus has changed. Finding ways to increase efficiency is now more important than ever. PI Processbook displays and PI Datalink reports are used at each facility to assist the plant operator in keeping the steam flow process variable closer to set point since lost steam flow is lost opportunity and cannot be recovered. Dashboards with visual cues created by using the multi-state symbol function allow for tightening of alarm limits and color sets to signify progressive deviation, and allow the operator to know from across the room whether the plant equipment is running OK or not. If youre Running Green, youre good. Other displays have been developed for facilities with river water cooling systems to monitor real-time temperature and temperature deviation as required by permit. Displays such as this allow operators to make informed and calculated adjustments to the heat loading of the turbine generator (which translates into megawatts and therefore revenue) instead of making excessively large load reductions to ensure permit compliance at the expense of lost revenue. The PSION Workabout Pro3 handheld has been rolled out to replace the field operator clipboard. Before the PI System came to Wheelabrator, the operations department would make rounds of equipment with a sheet of paper and a clipboard. That data was not always able to be used in a value added way because it was difficult to piece together trends and inspection data. Flash forward to today. Operation rounds are performed on the handheld, the information is date stamped, the operators name is recorded and it is all stored in the PI System. This makes viewing, trending, and using the data easy, fast and comprehensible. Innovation around the PI System: Paris Water Supply Veolia Environnements subsidiary, Veolia Eau dIle-de-France, manages water production and distribution for the Greater Paris water authority, Syndicat des Eaux dIle-de-France. SEDIF serves 4.3 million residents in 149 municipalities in the Paris region. With close to 750,000 m3 distributed every day, it is the largest water utility in France and one of the first in Europe. Nearly 240 billion liters were consumed in 2012 through a network of pipes 8,230 km in length. In 2011, SEDIF renewed its agreement with Veolia Water the new contract introduced a concept of responsibility and a useful innovation with: ServO. a single monitoring and operation center designed to control risk, to manage customer response, to optimize water production and monitor network distribution. PEEE: to reduce energy consumption and manage emissions and discharges ensure a zero carbon service, a world first for a water service Qualio: to implement water traceability, based on the food and beverage industry model, in order to guarantee customers continuous control of the sanitary quality of their water Teleo: third-generation remote meter reading, enables users to precisely monitor their consumption, thus facilitating leak detection ResEcho: a sophisticated network monitoring and asset management resourcethat enables Veolia Water to maintain an unusually low rate of leaks on all SEDIF water lines The PI system is an important part of the information system of Veolia Eau dle de France. It has become the repository for all real-time measurements. The PI System is both a Big Data and a management system for events in real time, which allows the user to address a multitude of functional requirements for operators and provide interoperability. Monitoring Implementation for Measuring Points and Pipelines of PEMEX Pemex Management of Transport and Distribution of Hydrocarbon North Region has responsibility that extends from the north of the country starting in Burgos Production Management and ending in Veracruz Production Management. Currently PEMEX has a pipeline network of 648 km comprised of gasoline pipelines and oil pipelines, some classified as critical. It also has oil and gas measurement points for custody transfer. Geographic dispersion along with the lack of communication infrastructure, information systems and storage at measurement points and on pipelines hinders proper management of transport and distribution processes by not permitting delivery of continuous and timely information in the administrative offices to allow decisions effectively. To support a strategy for the effective management of hydrocarbon transport and distribution processes a real-time monitoring system was implemented, one that would provide for supervising operating variables of six oil pipelines, three gasoline pipelines and nine measurement points. Data acquisition was performed using Modbus PI interfaces which, through the Pemex network, acquire information from flow computers, flow meters and pressure transmitters installed in facilities and pipelines from GTDHRN. Integration of all variables was done in the local PI Server, where alarm and status variables were created. For data exploitation, display graphics were designed, and monitoring portals for executive users and reports were developed according to customer requirements. Implementation of real-time monitoring of operating information is a tool that enables analysis, evaluation and decision making. Among the benefits obtained were: preventive reaction to unwanted events such as leaks and interruptions pumping real-time data exploitation in ways such as production reports and statistical analysis process to acknowledge operating conditions. Optimizing Asset Reliability with the Health Rating Program This is a joint presentation with three speakers. Scott Larson will provide an overview of the SunCoke Energy PI System and discuss how SunCoke Energy is leveraging their enterprise agreement (EA) to support this program Jason Crum will provide an overview of the coking process and ovens and talk about the overall program objectives and development Wes Alderman, a field oven inspector, will talk about using the PI Manual Logger application in oven inspections and the resulting time savings and efficiencies already realized in the short time the program has been in place. Product Quality Giveaway Reduction Program Supported by PI System The giveaway gap is the difference between the quality of the product and the quality specification. It means that the manufacturer produces better quality product than needed, which has an effect on the cost (lower yield, more energy, higher temperature, more reflux, etc.). The PI System has a first class tool set which can provide professional support to quality giveaway reduction efforts. The most important step is to know (first realize, then monitor) how big is the gap between current quality and the specification. Registering quality specifications to the PI Server and gathering all matched quality information (lab measurements, on-line analyzer values, soft-sensor quality calculations) in Asset Framework helps to filter out off-spec qualities, helps in reducing quality giveaway, ensures easier access to this data for a report or data analysis and provides information for additional procedures. An advanced practice--the so-called Tank Quality Integration--is a very useful application what can provide up-to-date information about key qualities in the product tank. This presentation will explain how MOL, Plc. is using PI System applications and how much they have saved with quality giveaway reduction programs. Realizing Business Value from PI Manual Logger Applications Plant facilities are packed with signals distributed all around the plant. Some of these signals make it to the control room through the different control systems. Others are manually collected, and managing them usually represents a tough challenge that consumes time, cost and effort without achieving the required data accuracy, reliability and quality. Plant operations and other business functions at Methanex requested a solution to collect, archive, visualize and analyze the manually-collected data in an efficient and reliable manner similar to the real-time data managed by the PI System. It is of equal importance to minimize time between data collection and its availability to business network users. Achieving this would improve the quality of the problem investigation process and support the business decision making in a timely fashion. However, these benefits could only be achieved after overcoming the challenges associated with these kinds of tasks dealing with the management of manual data interface. PI Manual Logger (PIML) system (including PIML client and mobile applications) combined with data logger handheld devices equipped with bar-coding capabilities were used. These allow data collection and interface to the existing PI Server. It presented a reliable solution, provided significant cost and effort savings and significantly reduced the time required to make the data available. Now there are 4,500 manual daily readings available for all business stakeholders and PI System clients that use this solution. Plant manual data has become part of the PI System data platform, which enables plant users to benefit from the standard PI System features and make business decisions in real-time. Smart Batch Monitoring with VBA Improves Problem Identification Smart batch monitoring is an effective way to easily identify problems as they occur, and provides engineering and operations valuable time to react to the batch and prevent the problem from propagating into more problems downstream, as well as to provide better visibility for predictive scheduling. Trending problems can also identify necessary maintenance work while the problem is minor, allowing maintenance work to be done on schedule and before major failures. This concept is useful for almost any operation, but is especially useful in batch plants with numerous different recipes which it would be unrealistic to update manually. The PI ProcessBook display uses PI Batch and visual basic coding to show characteristic trends, such as temperature, pressure, progression of reaction, and steam usage, for each batch currently being produced. These trends are overlaid on the recent history of this products production in this vessel using a batch group, and then have a golden batch identified by engineering added to the batch group using Visual Basic (VB). Small deviations such as temperature or a higher than normal steam usage can be indications of a problem such as contamination, off-track reactions, and equipment fouling or fatigue this display makes these deviations obvious. The use of VB coding allows the display to run untouched in the control rooms 247 with operators able to constantly monitor the batches at a level of detail necessary to reliably and quickly identify problems while they are still small. The code refreshes the display every time a new recipe is set to a production vessel in the DCS by changing the product being displayed to match the one that is now being made, and changes the golden batch to this products ideal instance. Supporting Sustainability Operations with Water Management To efficiently manage water operations through discharge of water to the environment is one of the biggest challenges in the Yanacocha mining operation. Unlike at most other mining operations, where Yanacocha operates there is a rainy season seven months of the year, with frequent rain throughout most of the year. Greater restrictions on our distribution, processing and water discharge to the environment mean that these processes become more costly as Yanacocha areas of operations have expanded. The challenge is even greater when the company stores excess water during the rainy season to be distributed and discharged during the dry season as part of its social responsibility. Captured rainwater enters the mine system and requires proper treatment for discharge to the environment. At least 5 million m3 enter the system by rain annually but operations needs only 2 million m3. The total volume of water treatment and discharge to the environment annually is about 32 million m3, with power consumption that exceeds 30,000 mWatts h average. The PI System centralizes data about water entering the system, provides the data to software simulation for the water balance and estimates of treatment, centralizes data from water quality laboratories and laboratory processes for estimates of the efficiency of water treatment processes, and centralizes data on power consumption. This enables Yanacocha to align strategic planning for sustainability and social and environmental responsibility with planning for growth. The PI System, Remote Diagnostics and the Collaborative Supply Chain Presenter: Nick Ward. OSyS, part of the Rolls Royce Group Condition monitoring is the natural bedfellow for the PI System, but it has traditionally been delivered as a deployed solution or remote service. These access the low-hanging fruit in terms of value, but neither option is ideal for collaboration between Operator, OEM and Service Provider. The advent of OSIsofts cloud-based data sharing breaks down barriers and allows companies to realize the harder-to-reach value of condition monitoring across vendors. The new generation of data acquisition, sharing and analytics means that equipment operators can start to move towards a truly risk-managed approach, based on the increased confidence in the predictability of the equipment health and performance. Rolls-Royce is working towards a model of 90 predictability with their PI System. The Power of Data - Different Users, Same Benefit Presenter: Yuelong Su. China National Bluestar (Group) The China National Bluestar (Group) Co, Ltd is centered on the chemical industry and focuses on new chemical materials and animal nutrition. Bluestar has developed rapidly and grown into one of Chinas most successful chemical companies. To stay competitive, the company and subordinate enterprises used the PI System to provide the real-time data infrastructure and collaboration tools they need to meet key challenges. The users explain how they applied and benefited from their PI System. These users include Bluestar site engineers with different roles and company headquarters managers in different departments their applications based on the PI System include tank management, overall unit effectiveness analysis, control method simulation, statistical quality control (SQC) and implementing six-sigma initiatives. Though applied by different users, these successful applications have the same benefit for the whole company: optimizing production and increasing energy efficiency. This is the power of data derived from use of the PI System. Using PI System to Aggregate, Analyze, and Visualize Data Presenter: Robert Lane. Washington River Protection Solutions (WRPS) Washington River Protection Solutions (WRPS) is a Prime Contractor to the Department of Energy (DOE) responsible for the Tank Operating Contract (TOC) on the Hanford Site near Richland, Washington. WRPS is responsible for care and maintenance of the Waste Storage Tanks at Hanford. The Waste Storage Tanks contain chemical and nuclear waste left over from plutonium production since World War II through the end of the Cold War. The Hanford Site is now in a clean-up, preservation, and disposal operation. Upgrading from decades-old, custom-developed solutions presents many challenges that require innovative solutions. Integrating numerous custom and COTS standalone solutions to a PI System-based solution allows for a central data repository that enables levels of analysis, information, and data availability that were not previously possible. Using the PI System for Full-Featured Vibration Monitoring This presentation explores the use of the PI System as the infrastructure for collection and visualization of machinery condition monitoring data, including high-speed vibration waveforms and specialized data presentation formats such as shaft orbits, vibration spectra, bode polar plots, and others. Historically, the vibration data collection rates necessary to allow detailed machinery diagnostics were too fast to entertain use of the plants process historian, particularly when a system was going to encompass dozens or hundreds of vibration channels. As a result, stand-alone vibration monitoring software infrastructures with their own proprietary databases, servers, display clients, security models, and network connections evolved out of necessity to handle the data collection speeds required. However, as the capabilities of the PI System have improved, now surpassing one million tags per second, the ability to treat vibration waveforms as simply another type of time series data in the PI System database has become practical and is already in use at a dozen end user sites globally. Industry Day Presentations Linking Government, Industry and Academia Presenter: Donald Paul,. University of Southern California Professor Paul will discuss dynamics of the technology system, workforce development, and economic growth through the effective interaction of government policies, industrial opportunities, and academic programs as applied to the energy sector. This linkage is of particular importance in the energy sector, where a dynamic balance of economic opportunities, public policy objectives, and environmental requirements are demanded from the system. The combination of large scale infrastructures, large capital deployments, long-lived assets, and technological intensity create the need for a much more integrated and multi-disciplinary approach to effective RD and the development of the future workforce. This is particularly visible in the ongoing growth in the areas of Digital Energy and Intelligent Infrastructures, which represent the major intersection of advancing information and control technologies with the large-scale infrastructures associated with oil and gas, fuel, and electric power. Rapid diversification of electric power generation sources, combined with emergence of the Smart Grid is a specific area demanding new combinations of technology and workforce capabilities. Developing an effective environment to meet these challenges will require forging new and enhanced linkages between government, industry, and academia. Paul will speak on how developing innovative intersections of government, industry and academia is addressing the challenges for energy RD, technology demonstration and deployment, and advancing workforce education and development. The mission of USC Energy Institute is to address these challenges and opportunities by developing partnerships directed at complex, integrated energy systems and infrastructures. USC Energy Institute programs span the range of energy systems from natural resource development to power grid systems operations to the role of consumer behavior in energy efficiency. Programs are focused in particular on demonstrations at scale and providing experimental energy infrastructures to validate advanced energy and information technologies. The USC Smart Grid Living Laboratory was created to utilize the 50,000 person campus community and infrastructure as an experimental mini-city to develop and validate research. Specific research areas include technologies in energy informatics, cyber-security, energy efficiency, human and social behaviors, and electric vehicle system integration. The Marriage of Public Sector and Academia to Attract Companies and Incubate Innovative Ideas Jim Waring, Executive Chairman Co-Founder of CleanTECH San Diego will join Academia Industry Dayto discuss the role a cleantech cluster associationplays in attracting companies and incubatinginnovative ideas across a regional economy. Waringwill discuss CleanTECH San Diegos recent work toimplement the City as a System pilot project in San Diego. Its goal is to deploy data infrastructureacross a citys physical landscape to produce real-time energy usage analytics and recommend energyefficient behaviors based on the data. Ultimately the project will allow buildings to be connected asasingle operational system, which will lower individual and aggregate energy consumption and establishcritical load reduction. The process will also provide rich-data access to researchers and engineers atpartner universities to drive innovation and economic development. Once proven, the goal is to expandand replicate the City as a System model more broadly across the region and other markets. Carnegie Mellon Intelligent Dashboards: From Lab to Market The building environment is an emerging market fordata driven control for energy efficiency and indoor environmental quality (IEQ). Rapid adoption of energy disclosure laws by cities from New York to Seattle, combined with sensor and controller data from building automation systems across the nation, is generating data at a rate the building communitycannot comprehend. OSIsofts PI System data baseoffers a stellar opportunity to absorb these disparate data sources and provide data cleansing, dataanalytics, and real-time communication on multipleplatforms, to instigate action by the building community for energy and IEQ. This presentation will unveil Carnegie Mellons Intelligent Dashboardsatthe Occupant (ID-O), facility managers (ID-F) and citycampus scale (ID-C) that have been taken from labto market testing in collaboration with DOE, DOD, Siemens, university and corporate partners. A Robust Data Management System for Integrating Campus Sustainability Goals Over the last several years UC Davis has been building out a data management system to collect, historize, and report real-time operational data that is crucial for assessing and improving campus energy use and sustainability. The PI System, withits capability to receive data from a variety ofsources, store it efficiently, and provide easy access to data for a variety of clients, serves as thehub forthis system. It provides access to data from numerous campus systems such as building energy and utilities metering and central plant controls and metering. Campus efforts are focused around these initiatives: Standardizing data collection and quality control processes across operational units Automating reporting to help decision makersoptimize operations Collaborating with sustainability research efforts using the campus as a proof of concept Integrating use of campus data into academiccurriculum Expanding the system to incorporate other campus data including occupancy-based building lightingcontrols, HVAC control systems, smart thermostat feedback, and campus water and wastewater systems Developing a cutting-edge interface for data visualization On the last point, the campus has already deployed a web interface that uses the PI system data from both the building energy metering and a smart thermostat system to provide energy feedback todormitory residents through an energy competition. Work is underway to expand this feedback systemto include interactive building energy usage displays to engage building occupants across the campus. We are exploring more ways to visualize and analyze building energy usage to encourage stakeholders across campus to conserve energy. Ideas on Integration of OSIsoft Into Chemical Engineering Curricula This talk will summarize the status of data education in chemical engineering curricula, providing examples where data are not covered at all to some examples of the efforts of dedicated faculty to including data in the curricula. It will discuss why existing engineering curricula have little coverage of data and why this situation is difficult to change. The last part of the talk will describe efforts at MIT to train chemical engineering students to analyze and make decisions based on heterogeneous data sets ranging in size from small to very big. The talk will describe ideas to integrate OSIsoft into other chemical engineering curricula, including (1) development of insertion modules with clearly defined learning objectives and with varying time commitments, (2) making tutorial visualizations and remote software operation available to universities, and (3) supporting ldquodata advocatesrdquo within specific programs to develop and evaluate insertion modules. Microgrid: A New Hub in Energy Infrastructure Microgrids are small-scale versions of centralized electric power systems. They achieve specific goals of distributed power systems, such as reliability and self-healing, sustainability and diversification of energy sources, and energy efficiency and cost reduction, established by communities in various parts of a large power system. Microgrids integrate renewable resources at the community level and allow for customer participations in the operation of an electricity infrastructure. Microgrids form the building blocks of perfect power systems which promote real-time pricing and demand response, and applications of smart grid to the distributed control of electric power systems. This presentation will highlight some of the key issues with the design and operation of microgrids and discuss the role of recent innovations and, in particular, the significance of smart grid applications to power system operations and control. The presentation will also discuss the development of a microgrid funded by the U. S. Department of Energy and implemented at Illinois Institute of Technology. Global IEEE activities for promoting smart grid technologies will also be discussed. Predictive Analytics for Real-time Energy Management and Dynamic Demand Response The University of California, San Diego (UCSD) is owner-operator of a 45 MW peak load Smart Grid and one of the first adopters of many Smart Grid technologies, including multiple renewable and non-renewable energy generation resources, significant energy storage, and sophisticated monitoring for controlling flex-demand loads for a community of 54,000 energy consumers. UCSD owns and maintains a 69 kV substation, ninety-six 12kV underground feeder circuits and four 12kV distribution substations throughout the 1200-acre campus, and has a master controller and optimization system creating the city within a city. Advances in technology have led to an unprecedented ability to collect and store data. Harnessing the real-time streaming sensor data from modern smart grids via advanced processing, modeling, optimization, real-time forecasting and analytics is a major challenge due to the sheer volume, complexity, and rate of data acquisition. UCSD and PACEs Big Data analytics and energy sustainability researchers are utilizing the existing fully functioning UCSD Microgrid to perform predictive analytics on both the real-time and historical time-series data for developing models for detailed load forecasting, load shaping and demand response, all aimed at driving campus-scale energy efficiency. This data-driven approach aims to leverage the predictive analysis of resource consumption, renewable integration, economic activity and human behavior patterns to improve campus sustainability and efficiency. Building the Perfect Plant: A High Tech Approach to Supporting Low Cost Bioprocessing Plants The biopharmaceutical manufacturing industry is experiencing an inflection point. Competition, price controls, globalization, biosimilars and technology shifts have resulted in a new approach to building and operating manufacturing facilities. nAmgen is on the leading edge of this change, building new more flexible facilities and retrofitting existing plants to be more efficient. The result is a highly automated shop floor with integrated systems that are both faster to startup and require fewer ongoing resources to maintain. To achieve these goals, Amgen is identifying a standard IT architecture and integration approach between MES, DeltaV, OSIsoft, and other systems to streamline the flow of manufacturing data in support of electronic batch records and continued process improvement. The presentation will discuss this architecture and its benefits over traditional IT deployment models previously leveraged at Amgen plants. Enablement and Standardization of Advanced Process Data Technology with EA Sanofis Rare Disease subsidiary Genzyme is embarking on a process data analytics initiative to improve processes in manufacturing. Sanofi is also embarking on a core standardization initiative in Manufacturing Quality Operations, with the goal of streamlining the implementation process for new manufacturing technologies across their network. Nick Alexiades will discuss these initiatives and describe how the recently signed Enterprise Agreement will help enable these and future initiatives within Sanofi. Lean Validation as Part of Standard OSIsoft PI System Deployments at JampJ Within the regulated industries, the OSIsoft PI System can be considered a GMP critical application. In the past, OSIsoft PI Systems were validated according to each sitersquos local procedures. This presentation will explain how JampJ came to a common and lean validation approach across the organization, based on industry and computer system validation standards. It will also discuss how they gradually implement the approach as part of a standardized deployment of the OSIsoft PI System. Custom DeltaV PI System to Provide Plant Redundancy A pharmaceutical facility had lost a batch, a multi-million dollar loss, due to a DeltaV Embedded Historian failure. Review of the feasibility of redundant historians showed options were cost prohibitive. The user needed a robust architecture that implemented available OSIsoft redundancy features and was compatible with the DeltaV Control System. After reviewing OSIsoft and Emerson recommendations, the integrator designed a unique solution to meet business needs. The implemented Enterprise PI for DeltaV using Redundant Interfaces, PI High Availability and Virtual Servers, then completed this project during a brief plant shutdown and parallel with multiple site enhancement projects. This required extensive design, accelerated deployment, and cross-functional collaboration. The resulting solution prepares site for future expansion and reduced risk of batch loss. At Kellogg, Savings Are in the Air This presentation is based on significant potential savings realized after analyzing historical PI System trends which showed that inefficient air compressor control systems operation caused excessive electricity consumption. Conservatively estimated savings potential easily justified new control systems integration. After project completion, new energy reduction opportunities were realized based on improved system trending in the PI System. A new project captured these additional savings as well as justifying custom incentive pay back from local utilities. This resulted in repeatable total electrical reduction of 2.65M kWhyear and a one-time payback from the local utilities of 265k, far exceeding the initial savings calculations. Path to a Unified Data Infrastructure This presentation will show the path Biogen has taken since moving from pre-2010 PI System to their current, unified data infrastructure. Biogen has moved the role of the PI System from a data historian for compliance reporting and trending to a problem solving and problem-avoidance tool. The presentation will discuss ways they used Asset Framework, ACE calculations and Web Parts in their PI Systems for cGMP, Pilot-Scale Manufacturing and Facilities. The PI System makes scale-up from product development to manufacturing easier, monitoring facilities to provide pro-active maintenance and keep facilities in a compliant state. How Corning in Kennebunk Uses PI System Data Presenter: Ryan Dube. Corning Life Sciences Corporation In this presentation, I will provide a number of examples that show the variety of applications for PI System tools such as PI notifications, the PI Ping interface, PI SQC charts and alarms, and more. The focus is on PI SQC and how utilizing SQC charts and alarms can help manufacturing facilities not only bring manufacturing processes into control, but it can also help technicians and engineers predict when problems are about to occur - providing an opportunity to be proactive in preventing problems with the machine before they even occur. The presentation also touches some on how OSI PI can even be used in IT to monitor servers, IT assets and more - an application of the PI System that often goes overlooked. RtReports - A Bristol-Myers Squibb Perspective This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Value from Data - applying MVDA for real-time monitoring and prediction. Presenters: Speaker: Domenic Schimizzi, Genentech Petter Moree, Umetrics This presentation will showcase the BMS implementation of RtReports and the values we have been able to derive from this product. A users perspective of RtReports will highlights this product strength and some opportunities for improvement. Beyond the product offering we will explore areas where the core strength of RtReports could be leverage to fill some unmet needs around batch queries and advance analyses. Curtailments, Stoppages and Other Ways to PI Event Frame the Wind Collecting and analyzing data from 60 wind farms can make any data mining task daunting. For one aspect of data that gets seen by several areas of the business, Iberdrola Renewables has added PI Event Frames to help bucket these occurrences and start making it easier to analyze implications of these events. Curtailments are a major factor for wind energy producers in the US. Use of PI Event Frames that trigger based off of a PI Attribute (utilizing regular PI Data) has made it possible to quickly draw out more information. By creating PI Event Frames for Curtailments, Iberdrola quickly gets an estimate of power lost during the previous month (or even the last week) whereas before it would take a team and multiple days to get to the same point. While the data still needs to be scrubbed, having the initial information available in near real-time is a huge step forward and we are still finding new ways to utilize the data. ACE is used to generate the Event Frame, and in doing so some back-end calculations are run as the event frame is created and closed in order to help get expected losses over the time frame. As more people at Iberdrola Renewables start using this, they expect to add monetary calculations in real-time using the pricing data available in the PI System. Currently this information is utilized by the Performance Reporting Group which looks at the costs of curtailments and ensures that Iberdrola is getting paid correctly during these events and the Technical Division which looks for ways to improve overall operational efficiency. As Event Frames are proving useful, Iberdrola expects to add stoppages to the AF Server. Trends in Solar Performance Monitoring This presentation will address performance monitoring trends in the rapidly growing solar power industry. As the industry matures from small rooftop applications to large utility-scale central power stations, requirements around plant monitoring and performance optimization have also grown. Content will include a state of the industry overview followed by a discussion of why the PI System is needed and how it is being used to meet the scale and velocity of project additions in North America and throughout the world. The presentation will conclude with case studies using PI System-based monitoring to perform automated fault detection of commercial and utility-scale PV power systems. In addition, the unique challenges of providing a multi-tenant application suite (multi-customermulti-user) will be addressed and how to think about a scalable and secure architecture to meet this complex requirement. Fleet Optimization through Process Information Monitoring power plant performance in real-time is essential to stay competitive in market based bulk electric system. Maintaining equipment reliability with dwindling resources, regulatory and environmental compliance are some of the challenges electric utilities face today. DTE Energy has been addressing these challenges with effective use of technology turning data in to actionable information. Using its lsquoTechnology Frameworkrsquo as a roadmap, DTE Energy has implemented several layers of technologies with PI System data as their backbone. The amalgamation of people, processes and systems at the fleet-wide monitoring center using real-time operational data, predictive monitoring and market interface is helping DTE Energy to meet these challenges. Value of Asset-based PI System in Power Generation This presentation demo will show the value of PI AF, PI Event Frames, PI Notifications, and PI Coresight within the context of a real world Power Generation scenario. Technology Innovation and Condition Based Monitoring The power generation industry is under pressure due to increased competition and market uncertainty. Plant staff are developing new, innovative ways to monitor power plants by leveraging technology to improve safety and efficiency. Exelon Nuclear is the leader in developing new and innovative technologies and better utilizing plant experts. One such method is their Advanced Monitoring Technology that monitors plant performance in real time with the use of the PI System that helps plant staff to make timely decisions. Real-time monitoring coupled with diagnostic tools reduces the burden of data collection for plant experts. Staff spend their valuable time in data analysis and decision making. The Exelons Advanced Monitoring program has three major elements: 1) On-Line Monitoring 2) Wireless Equipment Monitoring 3) Prognostics Health Monitoring The On-Line Monitoring program is an analytical tool to identify plant anomalies at incipient stage. The tool pulls real-time data from the PI Systems data historian and performs analysis. Appropriate staff is alerted to any anomaly identified by the tool via email. This program proved to be a paradigm shift for plant monitoring and trending. The wireless equipment monitoring has provided a new avenue to add smart sensors on plant assets. The additional sensors have helped improve plant safety. The technology has paved the way for Condition Based Monitoring. The ultimate goal of this effort is to optimize preventive maintenance program. The additional sensors will provide opportunity to utilize PI Asset Frame and PI Coresight. The PI notification will be used to warn plant staff of changing plant condition. Exelon is collaborating with OSIsoft to effectively utilize PI advanced features. The Prognostic Health program is an innovative technology to predict equipment health. This will be great tool for Knowledge Transfer and retention and troubleshooting. Analyzing Outage Impacts Using PI Event Frames and Versify NaturEner is a wind developer and operator with 399 MW of operating wind in Montana. These farms operate in relatively remote areas of the grid, and can therefore be constrained by regional transmission system outages. These outages can be caused by a variety of entities, and can have significant financial and operational impacts. Therefore, it is of interest to NaturEner to monitor the frequency, magnitude, and causes of these events for the purpose of monitoring the impact and determining if mitigation is required. NaturEner is currently utilizing the Versifyrsquos V-Performance Outage Management application in the system to log and manage turbine and wind farm outage events. These outage events are fed into PI Event Frames using Versify APIrsquos that leverage PI Enterprise OLEDB and OPC drivers. Using these event frames combined with operational data managed in PI, NaturEner builds queries and reports that easily summarize and categorize the energy lost to planned and unplanned outages. In addition, these event frames are used to evaluate operational procedures, such as the re-energization process after an outage, where data is queried and reports generated to assess plant performance. Understanding the impact of outage events on generation is essential for NaturEner in maximizing profits from our wind assets. NaturEner is a renewable energy company that has developed hydro, wind and solar utility-scale renewable energy projects in North America and Europe since 1999. NaturEner currently operates solar and wind power generation projects and has invested more than 800 million in North America since 2006. Alarm System for Structural Monitoring of Itaipu Dam Using PI System With the increasing use of technology for data analysis in complex systems, as often occurs with dam safety, it has become plausible to implement a system which performs analysis of the measuring instrument data and generates alarms concerning the structural situation of the Itaipu Binacional dam. In Itaipu, there are approximately 2,400 instruments, of which 270 are totally automatic, with readings taken every 30 minutes and positioned in key blocks of the dam. The readings from these instruments provide the data that is stored in real time in the PI Server and remains available for reading and analyses. The data stored in the PI Server is analyzed with the objective of generating alarms representing the structural situation of the Itaipu dam. For this data analysis and generation of warnings the technique applied is that of the Fault Tree Analysis (FTA), a logical and deductive process that, starting from a predefined and undesired event, seeks the possible causes of said event, creating the relationships through simple logical operators (AND, OR, etc.). The failure tree structure, due to its hierarchical characteristic, is implemented by the use of the PI AF. The relationship of the logical operators is represented in the PI AF through the Formula option in the Data Reference of the Element. The nodes that represent the instruments are linked to the corresponding Tags in the PI Server through the PI Point option. The PI Notification is employed for sending the alarms, which define the elements of the PI AF that shall represent the faults and create the Triggers and alarm criteria, in accordance with the attributes of this element of the fault. Those responsible are previously registered in the system, listed in the tab pertaining to Contacts of the PI System Explorer, and receive an email with a description of the fault that occurred and the principal information to support the taking of decisions. Use of PI System in the Electric Energy Management System of Brazil The user will explain the architecture of the new EMS Network ( REGER) in use by the Brazilian Electric System Operator (ONS) and the use of PI Systems to support real-time decisions, post-operation monitoring and analysis of problems in the generation and transmission system. The Automation of Converting SCADA EMS Displays to PI WebParts The System Operations Department of Pepco Holdings, Inc. had a homegrown web server that provided users access to near real time SCADA data and the ability to view historical data using EMS display formats. After migrating to a newer release of the EMS, corporate users no longer had access to these displays. The PI System had been used to store EMS historical data for several years however, users had to use a manual process for building ProcessBook displays andor DATALINK to view historical and current data. Corporate users were accustomed to viewing SCADA data with the look and feel of EMS displays on the web. They were able to view historical data with defined schematics of a one line diagram and navigate throughout the website. Obviously, the majority of corporate users do not have access to the EMS. Engineers and interested individuals wanted to continue to see and use this data for troubleshooting, research, decision making, studies and planning. A centralized approach was needed to allow streamlined administrative maintenance, easy access and navigation, user validation and authentication. With this business challenge in mind, a technical solution to the problem needed to be addressed. With EMS licensing and compliance limitations, a PI System with PI WebParts, and MS Sharepoint was the obvious answer. Real-time data that was stored in the PI System needed to provide a less challenging way of being utilized without having to use OSIsoft tools to build and format this data so that it would be useful. An automated process to take EMS displays along with system specific data link definitions and translate or convert this information to a format usable by PI WebParts was the solution Real-time Event Detection of Microgrid Dynamics The University of California, San Diego (UCSD) microgrid control system includes PMU measurements at the point of common coupling to the area power system, San Diego Gas and Electric. Measurements include data on both sides of the 69kV12kV main transformers as well as from buildings located at various points on campus including the Scripps Institution of Oceanography located the far western edge of the campus. The PI System collects real time data from the PMUs, computes real time angle differences and automatically detects real time events. This presentation outlines an event detection mechanism based on adaptive moving average and rate of change filtering as well an on-line method of automatically determining the dynamic characteristics of the microgrid. Results show that the microgrid has less than desired damping at certain critical frequencies. A control system is proposed that could dampen the oscillations using battery-based local energy storage systems on campus. PI AF amp Notifications in Distribution Operations Presenter: Khoa Vo. San Diego Gas and Electric SDGampE Electric Distribution Operations utilizes the PI System to integrate the distribution SCADA with data on wildfires, lightning strikes, and weather to provide real-time situational awareness for control room to board room. This presentation will show how the PI System--specifically PI AF, Coresigth and PI Notifications--dramatically changed the way that the utility runs distribution operations by allowing SDGampE to: Monitor all real-time and historical telemetry reads from circuits, switches, breakers, banks, etc. with PI Coresight, PI ProcessBook, smart phones Monitor status of switching operations and provide proactive remediation capabilities Send real-time notifications to assigned groups to correct any issues, such as telemetry reads, device status, communications, etc. in early state Plan, manage and monitor load curtailment in the event of crisis Play-back events and provide lsquorecreation of incidentsrsquo or lsquosequence of eventsrsquo for root-cause analysis or identifying failure of distribution assets Provide early-warning of natural events or disasters (storms, wildfires, etc.) Use advanced weather instrumentation to monitor real-time wind direction, wind speed, wind gust, temperature, and relative humidity The PI System has enabled SDGampE to significantly improve the efficiency and effectiveness of electric distribution operations monitoring and awareness and ensured customers safe, reliable energy and improved quality of life for all of the SDGampE service area. Web-based Visualizations with the PI System at PGampE Electric Distribution In 2013, PGampE invested in a Fault Location Isolation and Service Restoration (FLISR) system across the electric distribution system. To allow multiple operation and engineering groups to monitor and troubleshoot the FLISR system, PGampE leveraged the PI System to capture SCADA data in real-time. On the front-end, PGampE built a web-based HTML5 interface that allows users to monitor real-time single line diagramsdevice trends in the PI System through their browsers and email specific links to colleagues. On the backend, the PI AF database integrates with PGampErsquos Distribution Management System (DMS), allowing any connectivity and asset changes in DMS to update circuit configurations in the PI System, reducing long-term maintenance. This presentation will demonstrate PGampErsquos PI web portal, including the HTML5 user interface and integration with DMS. DobleARMS and PI System Bring Standards-Based HV Asset Management to TVA The Tennessee Valley Authority, plans, builds, operates, and maintains, part of the electric power system in the United States. This network comprises the keystone of all other critical infrastructures in the United States. The equipment and subsystems that comprise the power system are aging at an alarming rate. The 500,000V power system, which makes up the backbone of bulk transmission system, will turn 50 next year and extend the problem of asset revitalization to these capital intensive assets. This comes at a period of shifting load patterns and changes in generation strategies that are calling upon these aging assets to perform to their limits. Additionally, increases in costs to the utility as well as a host of other drivers are making the competition for capital resources fierce. To optimize both its CAPEX and OPEX resources, as well as better understand and mitigate risks associated with management of its transmission assets, the TVA is moving towards a near real-time asset health process. To help enable this vision, TVA is partnering with Doble Engineering Co. to pilot their dobleARMS solution. dobleARMS, through its use of OSIsoft technology to include the PI System and AF-SDK, provides a method for standards based integration that leverages information from disparate enterprise datasets, online monitoring, and protective relaying that eases the burden of integration while providing actionable near real-time information about its assets. The goal is for this information to be used across the enterprise, from allowing the system operator additional insight into the health of the transformer to helping the planner to optimize OPEX and CAPEX work and up to the executive to better manage asset risk through replacement strategy. Welcome, Logistics, and Agenda Review The session opening will establish context and prepare attendees for the day. After a brief welcome, the theme of quotDecision Ready in Real-time: Enabling the Shale Revolution with the Power of Data and Informationquot will be discussed. The agenda will be reviewed with the associated logistics, concluding with an introduction to the session keynote address Proactive Critical Rotating Equipment Monitoring for Upstream Safety and Production Operations Talisman Sinopec Energy UK has used the PI System since 2001 when it was first installed for surveillance of a single subsurface well. Over the last 13 years, their PI system has evolved to become a strategic element of Talisman Sinopecrsquos technology landscape as an integration and applications infrastructure, validated with the signing of an Enterprise Agreement (EA) by Talisman Energy in 2012. There have been many PI System-based applications and solutions added over the years in the areas of process and well surveillance and single source data to hydrocarbon, chemical, and corrosion systems. However, one recent application based on the PI System has delivered significant business value around proactive monitoring of critical safety and production rotating equipment assets. This presentation will overview the history, implementation, and benefits of Talisman Sinopecrsquos Rotating Equipment Excellence Programme (REEP). It is focused on improving reliability and integrity, and reducing production losses from critical rotating equipment failures. Currently, REEP monitors 100 pieces of critical rotating equipment. The presentation will focus on the role the PI System plays, including use of PI-AF, PI-ACE, PI-PE, and PI-Notification these will be illustrated by screen shots and data flow diagrams. Realizing Value with PI Coresight in Heat Recovery This presentation will describe how SunCoke Energy has been able to use the flexibility gained with an EA to provide access to PI Coresight for all their users. It will describe the SunCoke PI System and discuss the EA signed in 2012, and then get into how Middletown Operations utilizes PI Coresight to bring value to the business. The operations section will cover how different PI Coresight displays were created to review oven push cycles and how steam and power generation is affected, as well as how the system is used to track and order chemicals for the plant. PI Coresight is utilized in operational troubleshooting of issues, training of new operators and enabling other plants to compare real-time data. PI System for Reliable Environmental amp Sustainability Management Corporate sustainability strategies are implemented and progress measured through sets of key performance indices (KPI) such as emissions of greenhouse gas (GHG) and other pollutants that are of interest to stakeholders. With the financial risks caused by GHG emissions cap and trade programs, companies must closely monitor the process data essential to accurately quantify emissions. Reliable real-time data from the PI system can help companies to minimizemitigate business risk associated with measuring and reporting environmental performance. In addition, many environmental regulations set short-term (e. g. hourly) limits for emission source quantification that can be effectively tracked via process data available in the PI system. Most plants monitor and track emissions indirectly with process data parameters andor extract process data to calculation tools, such as Excel spreadsheets, to determine release quantities and demonstrate compliance. If there are quality issues in the original PI process data due to instrument malfunctions, process shutdown, etc. engineers must manually correctreconcile the data for compliance demonstration. The process may require significant effort and can delay generation of necessary reports. In order to provide reliableactionable data to enable plant environmental teams to properly and quickly respond to any excursion or deviation of environmental limits, the source data must be validated and reconciled in real-time. The ldquostatusrdquo of the critical PI tags applied for environmental monitoring and tracking often can be validated based on other process operation indicators and the results are stored as digital state status tags. After the status is established, a filtered or reconciled PI tag can be generated using the good raw data or a reconciled value based on process knowledge. This has the effect of eliminating or minimizing variable discontinuities and proffers the most accurate available information for environmental monitoring and decision making. With reconciled PI data, subsequent environmental calculations configured in PI performance equations can be executed to provide real-time environmental reporting data. The resulting environmental data are most reliable for the development of meaningful sustainability strategies. The readily accessible data also allow companies to actively and immediately compare against regulatory limitations and quickly take actions to mitigate problems. This real-time data validation and reconciliation process has been successfully implemented at a large gas processing plant in Qatar, which requires various reports, which involve continuous emissions monitoring systems and flare events. The environmental team is able to generate reliable environmental emission reports with 100 reconciled PI data. This data treatment process can be applied by all companies using the PI System to general reliable data for all critical business and environmental measurements. Time and Depth Based Analytics and Visualization in the PI System In upstream OampG the performance of depth-based analytics and visualization is a critical function for subsurface activities like drilling and well performance optimization. While some depth-based data sets require WITSM-based applications and solutions to perform full analytics and visualization, there are many situations where the PI System coupled with Microsoft BI tools can provide insight into subsurface data. This short presentation will discuss techniques to transform time-depth-measurement data sets to depth-time-measurement data sets that can be used for analytics and visualization. Examples will be discussed to illustrate key concepts and techniques. Integrating Predictive Models and Microsoft BI - A New Age in PvA Analytics While the ability to integrate future data from planning models as tables in PI-AF and do PvA analytics and visualization, the functionality and capability has been problematic. With the forthcoming release of future data storage in the PI Data Archive, coupled with advances in the PI System data access capabilities and Microsoft BI tools, the ability to perform model integration and plan vs. actual (PvA) analytics and visualization is improved significantly. This short presentation will discuss ideas and concepts of advanced PvA analytics, visualization, and BI using future data, PI-PSA, and Microsoft BI tools such as Power View and Power Pivot. Fundamental to doing this is using the underlying PI-AF to help organize, contextualize, and abstract the future data from an external model (Plan) and actual data. Update on Development of Key PI System Interfaces for Oil and Gas Effort continues on development of two critical interfaces used in the upstream Oil amp Gas industry: PI Interfaces for CygNet and for Wonderware Historian (previously known as Wonderware InSQL). Also, thoughts around collecting data from the WITSML will be discussed and augmented by Industrial Evolution, who will share their experience with WITSML data. This brief session and associated discussions will provide an update on high level functionality, development efforts, and status of each. The goal is to provide awareness and transparency for those interested and to solicit input about the interface functionality to support decision making. Using Data and Information to Help Solve the Sustainability Equation Industry and government forecast project global energy demand to rise by almost 40 by 2030. This unprecedented opportunity for the OampG industry is matched by heightened scrutiny and growing demands for transparency from government, investors and consumers. In turn, more OampG industry participants are collaborating closely with their respective suppliers, partners and contractors to address these multiple evolving challenges. Many companies now view their sustainability strategy as an engine for new ideas to bring to this conversation to deliver on goals to improve productivity, grow shareholder value, reduce business risk and control costs. This panel will discuss the role data and information play in the sustainability equation as it relates to topics including pipeline safety and integrity, water use and impacts from fracking and emissions management. The panel will be moderated by Mr. Andrew Fanara, OSIsoftrsquos Sustainability Market Principal who will be joined by thought leaders sharing their expertise in a facilitated panel discussion and QampA with the audience. Attendees will gain valuable insight to better understand how to leverage their PI System to support their companys sustainability initiatives. Report of Findings: Collaboration with Industry Partner OSIsoft in Development of Energy Management Technology Learning Laboratory for Academic RD Purposes Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College will provide a review of 3-year findings with specific attention directed to invention of an Energy Management Technology Living Learning Lab (EMT-L3) developed in close collaboration with industry partner OSIsoft. This review will consist of examination of the instructional design plan, scope of work required to accomplish goals, examples of activities, statement of best practices and lessons learned. In sum, the education training of a highly-reliable and proficient Smart Grid workforce is strongly dependent upon identifying the occupational tasks to be accomplished and the knowledge, skills, and abilities needed to perform those tasks. With support from OSIsoft the EMT-L3 allowed professors and students to work with industry as co-constructive partners to learn precisely what is required of the STEAM professional in the real-world setting. It is estimated that by year 2030 that 13 Trillion dollars will be invested in global energy infrastructure and 1.5 Trillion in the United States. The question is whether these monies will be spent on replacing existing facilities or a modern smart grid. The smart gird model is generally envisioned as a complex digitally-enhanced network of systems involving the convergence of three major industry clusters: Electric Power Utilities, Telecommunications and Information Technology. Its success dependent upon the adoption of interoperability standards to create a national end-to-end electric power delivery system that is fully-automated, reliable, flexible, self-healing and secure. Recognizing this challenge, the Institute for Energy and Environmental Sustainability (IEES) at Palm Beach State College with support and funding from U. S. Department of Energy and IEESs industry partner NextEra EnergyFlorida Power Light has developed and tested curriculum instructional models for Smart Grid workforce education training. One of the primary achievements of the initiative was the development of Living Learning Labs to provide students with performance-based experiences to maintain a smart electricity delivery system, with due diligence given to issues important to energy generation, power transmission distribution, integration of renewable energy, energy storage and microgrids. Enabling Connected Vehicles Connection to a Cloud Infrastructure Both government and the trucking industry (specifically owner operators) have an acute need for real time data. Provision of real time date will enhance mobility, facilitate electronic payment, improve transportation asset condition monitoring, reduce resources required for system maintenance and increase the availability of information for performance measurement. The government in its recognition of the value of the trucking industry to the economy has undertaken two broad approaches in its vision of the connected vehicle infrastructure: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I). For increased mobility driving factors are: (a) more efficient use of capacity (e. g. adaptive flow control), (b) more accurate and timely traveler information (c) reducing impacts of incidents on traffic flow (d) increasing reliability of freight movements and transit schedules. Improving speed and accuracy of electronic payments within the transportation infrastructure will contribute to enhanced mobility and reduction in cost of operations. To achieve meaningful results, owner operators, the government, suppliers and customers within the transportation sector must have (a) access to publicly gathered or generated data through an effective application to manage paperwork and other administrative costs connected to managing Invoicing, Repairs amp Maintenance, IFTA reporting, Payments, Dispatch, Navigation, Routing, Paper logbooks, Drivers, and (b) devices to be installed in commercial and publicly maintained vehicle fleets. Connected vehicle system capabilities will provide opportunities to improve the density, accuracy, completeness and timeliness of data collection for system management applications and drive analysis of performance measures and planning. The key components to all of this are (a) real time data capture and management (b), creation and expansion of access to high-quality, real time, multi-modal data from connected vehicles (c), providing real time monitoring and management tools based on V2I connectivity. The U. S. DOT under the Federal Highway Administration (FHWA) and the Federal Motor Carrier Safety Administration (FMCSA) is developing the ldquoSmart Roadsiderdquo initiative as part of the V2I program with desired capabilities of (a) Real-Time traffic, weather, special event, truck parking information shared with drivers (b) Vehicle sensor data collected at the roadside shared with private vehicle maintenance providers (c) unique vehicle identifier shared with enforcement agencies (d) routing clearance information shared with drivers (e) Origindestination information shared with stakeholders to determine routing information (f) real-time drivercarriertruck information shared with enforcement agencies. This white paper will look into a case study that demonstrates how PI System will be used in the government V2I program to address real time data needs in terms of analysis, historization, visualization and delivery to the primary constituents, such as owner operators, suppliers, customers and the government through the various regulatory bodies that oversee the trucking industry. The case study will look at the value of OSIsofts PI System operating in a cloud setup on the Microsoft Azure platform as part of the V2I infrastructure. It will showcase PI Systemrsquos new capabilities, advanced analytics, visualization to owner operators in improving time management for drivers, routing efficiencies, cost management, revenue optimization and logging accuracy.