ISO 15926, and the Data Handover Standard CFIHOS Based on It
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Iot4cps Deliverable
IoT4CPS – Trustworthy IoT for CPS FFG - ICT of the Future Project No. 863129 Deliverable D5.1 Lifecycle Data Models for Smart Automotive and Smart Manufacturing Deliverable number: D5.1 Dissemination level: Public Delivery data: 13. June 2018 Editor: Violeta Damjanovic-Behrendt Author(s): Violeta Damjanovic-Behrendt (SRFG) Michaela Mühlberger (SRFG) Cristina de Luca (IFAT) Thomos Christos (IFAT) Reviewers: Heinz Weiskirchner (NOKIA) Edin Arnautovic (TTTech) The IoT4CPS project is partially funded by the “ICT of the Future” Program of the FFG and the BMVIT. The IoT4CPS Consortium: IoT4CPS – 863129 Lifecycle Data Models for Smart Automotive and Smart Manufacturing AIT – Austrian Institute of Technology GmbH AVL – AVL List GmbH DUK – Donau-Universität Krems IFAT – Infineon Technologies Austria AG JKU – JK Universität Linz / Institute for Pervasive Computing JR – Joanneum Research Forschungsgesellschaft mbH NOKIA – Nokia Solutions and Networks Österreich GmbH NXP – NXP Semiconductors Austria GmbH SBA – SBA Research GmbH SRFG – Salzburg Research Forschungsgesellschaft SCCH – Software Competence Center Hagenberg GmbH SAGÖ – Siemens AG Österreich TTTech – TTTech Computertechnik AG IAIK – TU Graz / Institute for Applied Information Processing and Communications ITI – TU Graz / Institute for Technical Informatics TUW – TU Wien / Institute of Computer Engineering XNET – X-Net Services GmbH Document Control Title: Lifecycle Data Models for Smart Automotive and Smart Manufacturing Type: Public Editor(s): Violeta Damjanovic-Behrendt Author(s): Violeta -
Openo&M Oil & Gas Industry Use Cases with Scenarios and Enabling
OpenO&M Oil & Gas Industry Use Cases with Scenarios and Enabling Technology Ken Bever MIMOSA CTO [email protected] +1 (513) 276-4105 1 Use Cases 1 Handover Information from EPC to O/O 2 Engineering Upgrades to O&M 3 Field Changes to Plant/Facility Engineering 4 Up-to-Date Product Data Library (from On-line RDL) 5 O&M Asset Configuration Updates 6 Preventive Maintenance Triggering 7 (Semi-) Automatic Triggering of Condition Based Maintenance (CBM) 8 Early Warning Notifications 9 Incident Management/Accountability 10 Information Provisioning of O&M Systems 2 Systems Requiring Interoperability AHMS Asset Health Management System MES Manufacturing Execution System CIR Common Interoperability Registry MMS Maintenance Management System CMS Condition Monitoring System OPM Operational Performance Modelling & Optimization System DCS Distributed Control System ORM Operational Risk Management System DMS Document Management System PDM Product Data Management System EAM Enterprise Asset Management System PLC Programmable Logic Controller ENG Engineering Schematic Topology and PORT Enterprise KPI/Event Portal Instrumentation Tag Configuration Management System ERM Enterprise Risk Management System PSMS Process Safety Management System ERP Enterprise Resource Planning System QMS Quality Management System HMI Human-Machine Interface (Operator Console) REG O&M Product, Structure, Asset Registry with System Standardised Data Dictionary and Taxonomy ISBM Information Service Bus Model SCADA Supervisory Control and Data Acquisition LIMS Lab Information Management -
Multi-Domain Semantic Information and Physical Behavior Modeling of Power Systems and Gas Turbines Expanding the Common Information Model
SPECIAL SECTION ON CYBER-PHYSICAL SYSTEMS Received October 20, 2018, accepted November 7, 2018, date of publication November 20, 2018, date of current version December 19, 2018. Digital Object Identifier 10.1109/ACCESS.2018.2882311 Multi-Domain Semantic Information and Physical Behavior Modeling of Power Systems and Gas Turbines Expanding the Common Information Model FRANCISCO J. GÓMEZ 1, (Member, IEEE), MIGUEL AGUILERA CHAVES2, LUIGI VANFRETTI 3, (Member, IEEE), AND SVEIN HARALD OLSEN4 1Royal Institute of Technology, SE-100 44 Stockholm, Sweden 2Instituto Costarricense de Electricidad, San José 10032-1000, Costa Rica 3Renssealer Polytechnic Institute, Troy, NY 12180-3590, USA 4Statnett SF, 0423 Oslo, Norway Corresponding authors: Francisco J. Gómez ([email protected]) and Luigi Vanfretti ([email protected]) The work of F. J. Gómez was supported by the ITEA3 Project 14018, Open Cyber-Physical System Model-Driven Certified Development (openCPS). The work of L. Vanfretti was supported in part by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under Award EEC-1041877 and in part by the CURENT Industry Partnership Program. ABSTRACT Due to the rapid increase of intermittent energy resources (IERs), there is a need to have dispatchable production available to ensure secure operation and increase opportunity for energy system flexibility. Gas turbine-based power plants offer flexible operation that is being improved with new technology advancements. Those plants provide, in general, quick start together with significant ramping capability, which can be exploited to balance IERs. Consequently, to understand the potential source of flexibility, better models for gas turbines are required for power system studies and analysis. -
A Conceptual Framework for Constructing Distributed Object Libraries Using Gellish
A Conceptual Framework for Constructing Distributed Object Libraries using Gellish Master's Thesis in Computer Science Michael Rudi Henrichs [email protected] Parallel and Distributed Systems group Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology June 1, 2009 Student Michael Rudi Henrichs Studentnumber: 9327103 Oranjelaan 8 2264 CW Leidschendam [email protected] MSc Presentation June 2, 2009 at 14:00 Lipkenszaal (LB 01.150), Faculty EWI, Mekelweg 4, Delft Committee Chair: Prof. Dr. Ir. H.J. Sips [email protected] Member: Dr. Ir. D.H.J. Epema [email protected] Member: Ir. N.W. Roest [email protected] Supervisor: Dr. K. van der Meer [email protected] Idoro B.V. Zonnebloem 52 2317 LM Leiden The Netherlands Parallel and Distributed Systems group Department of Software Technology Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology Mekelweg 4 2826 CD Delft The Netherlands www.ewi.tudelft.nl Sponsors: This master's thesis was typeset with MiKTEX 2.7, edited on TEXnicCenter 1 beta 7.50. Illustrations and diagrams were created using Microsoft Visio 2003 and Corel Paint Shop Pro 12.0. All running on an Acer Aspire 6930. Copyright c 2009 by Michael Henrichs, Idoro B.V. Cover photo and design by Michael Henrichs c 2009 http:nnphoto.lemantle.com All rights reserved. No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording or by any information storage and retrieval system, without the prior permission of the author. -
Use Case: Ontology-Driven Information Integration and Delivery a Survey of Semantic Web Technology in the Oil and Gas Industry
> Semantic Web Use Cases and Case Studies Use Case: Ontology-Driven Information Integration and Delivery A Survey of Semantic Web Technology in the Oil and Gas Industry Frank Chum, Chevron Information Technology Company April 2007 Introduction The purpose of this paper is to survey some significant applications of Semantic Web technology in the oil and gas industry, and describe a use case on how the industry can leverage this technology. Key Business Drivers “There is a million miles of spaghetti eaten every day!” The same can be said about data in the oil and gas Industry. A large amount of data is generated every day from multiple sources such as seismic data, well data, drilling data, transportation data, and marketing data. Integrating these heterogeneous data to capitalize on their information value has been complex and costly. These data exist in a structured form in databases, and in semi-structured forms in spreadsheets and documents such as reports and multimedia collections. To deal with the flood of information, as well as the heterogeneous data formats of the data, we need a new approach for information search and access. For the major capital projects (see application examples below) in the industry, information needs to be standardized and integrated across systems, disciplines and organizational boundaries. This information integration will enable better decision making within collaborations, as high quality data will be accessible in a timely fashion. “Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and 1 community boundaries.” The Semantic Web technology provides a standard for machine-operational declarative specification of the meaning of terms based on the Resource Description Framework (RDF). -
AKSIO – Active Knowledge Management in the Petroleum Industry
AKSIO – Active knowledge management in the petroleum industry David Norheim 1, Roar Fjellheim 2 1UniK and Computas AS, Norway, [email protected] 2Computas AS, Norway, [email protected] Abstract . The AKSIO project is developing a process-enabled knowledge management system to support operations of offshore oilfields. The system will provide timely and contextual knowledge for work processes. Experiences will be processed and annotated by experts and linked to various resources and specialist knowledge networks. AKSIO will allow discovery of experiences through the support of a domain ontology. Core functionality of the AKSIO system is provided by careful application of Semantic Web technology, including ontology-based annotation and contextual ontology driven retrieval of content. 1 Introduction As the third largest exporter of crude oil (ca. 3 million barrels/day or 4% of the world’s oil production), the oil and gas industry is of major importance to Norway. The petroleum resources are located in the North Sea, a challenging environment for oil and gas production. Oil companies have deployed advanced technology to increase output and reduce cost. Increased output from the fields is possible due to new use of technology and methods e.g. injection of Natural Gas, Water and CO 2 in the oil wells. To various degrees all major operators and service companies in the North Sea are implementing the concept of Integrated Operations (IO). In IO, the offshore oil platforms are connected by high-speed data links to on-shore control centers, where multidisciplinary teams collaborate to optimize operations and rapidly solve any problems. The ultimate goal of IO is to maximize value created from petroleum resources, which can only be ensured by a continuous stream of right decisions made at the right time. -
A Method for Reusing and Re-Engineering Non-Ontological Resources for Building Ontologies
Departamento de Inteligencia Artificial Facultad de Informatica´ PhD Thesis A Method for Reusing and Re-engineering Non-ontological Resources for Building Ontologies Author : Msc. Boris Marcelo Villazon´ Terrazas Advisor : Prof. Dr. Asuncion´ Gomez´ Perez´ 2011 ii Tribunal nombrado por el Sr. Rector Magfco. de la Universidad Politecnica´ de Madrid, el d´ıa...............de.............................de 20.... Presidente : Vocal : Vocal : Vocal : Secretario : Suplente : Suplente : Realizado el acto de defensa y lectura de la Tesis el d´ıa..........de......................de 20...... en la E.T.S.I. /Facultad...................................................... Calificacion´ .................................................................................. EL PRESIDENTE LOS VOCALES EL SECRETARIO iii iv Abstract Current well-known methodologies for building ontologies do not consider the reuse and possible subsequent re-engineering of existing knowledge resources. The ontologization of non-ontological resources has led to the design of several specific methods, techniques and tools. These are mainly specific to a particular resource type, or to a particular resource implementation. Thus, everytime ontol- ogy engineers are confronted with the task of re-engineering a new resource into an ontology, they develop ad-hoc solutions for transforming such resource into a single ontology. Within the context of the NeOn project, we propose a novel methodology for building ontology networks: the NeOn Methodology, a methodology based on sce- narios. One -
Work Plan for 2007
POSC Caesar Work Plan for 2007 POSC Caesar Telephone: Telefax E-mail c/o Det Norske Veritas +47 67 57 73 73 +47 67 80 59 40 [email protected] N-1322 HØVIK NORWAY 17 - 1 POSC Caesar Work Plan for 2007 Contents 1 SUMMARY......................................................................................................................................................... 3 2 ADMINISTRATION.......................................................................................................................................... 5 1.1 HOUSING AND ADMINISTRATIVE FUNCTIONS ............................................................................................... 5 1.2 NEW VERSION OF THE REFERENCE DATA SYSTEM....................................................................................... 5 1.3 WEB SITE ..................................................................................................................................................... 5 1.4 EXISTING AND NEW MEMBERS .................................................................................................................... 6 1.5 COLLABORATIONS ....................................................................................................................................... 6 1.6 SPECIAL INTEREST GROUPS ......................................................................................................................... 6 1.7 MANAGERIAL /TECHNICAL COURSES, CONFERENCE / SEMINARS, MEMBERSHIP MEETING ......................... 7 2 ISO 15926 ........................................................................................................................................................... -
Data Exchange Solutions Using ISO 15926 Adaptive Information Model Manoj Dharwadkar, Phd., Director of Technology Management Bentley Systems Inc
Data Exchange Solutions using ISO 15926 Adaptive Information Model Manoj Dharwadkar, PhD., Director of Technology Management Bentley Systems Inc. Semantic Days 2008, Stavanger, Norway Outline • Bentley Overview • Data interoperability strategy based on ISO 15926 • Bentley’s implementation of ISO 15926 • The role of Bentley Class Editor and Adaptive Information Model Bentley’s Mission Help improve the world’s infrastructure Serving Distributed Enterprises Conceptual Mechanical Construction Financing Procurement Design Design Project Site Structural Fabrication Management Design Design The business of infrastructure entails distributed enterprises A Strong Global Company • 24 years of growth and stability • 2,500+ employees, 80 offices, 40 countries Distinctions 1. A comprehensive software portfolio that is multi-discipline and integrated, just like your projects 2. Collaboration servers that allow distributed enterprises to successfully deliver infrastructure projects 3. A commitment to interoperability to maximize the return on your investments in data Portfolio of Products POSC Caesar IDS and FIATECH ADI are accelerating ISO 15926 • Collaboration between both projects – IDS (Intelligent Data Sets) • Reference data expansion and Methodologies • Online reference data hosting, browsing, and editing • Simple implementation approaches •Training – ADI (Accelerating Deployment of ISO 15926) • Focus on implementation and tools • Reference Data System (RDS) software and utilities •Training • Bentley is very active in both projects Slide: 8 Data -
Modeling and Conformance Testing for the Engineering Information Integration Standard ISO 15926
NISTIR 7917 Modeling and Conformance Testing for the Engineering Information Integration Standard ISO 15926 Peter Denno Mark Palmer http://dx.doi.org/10.6028/NIST.IR.7917 NISTIR 7917 Modeling and Conformance Testing for the Engineering Information Integration Standard ISO 15926 Peter Denno Mark Palmer Systems Integration Division Engineering Laboratory http://dx.doi.org/10.6028/NIST.IR.7917 February, 2013 U.S. Department of Commerce Rebecca Blank, Acting Secretary National Institute of Standards and Technology Patrick D. Gallagher, Under Secretary of Commerce for Standards and Technology and Director ABSTRACT The process and power industries and their suppliers have invested in multiple initiatives to develop and deploy a new information exchange and integration standard, ISO 15926, Industrial automation systems and integration — Integration of life-cycle data for process plants including oil and gas production facilities. Although the potential benefits of this standard have been demonstrated in pilot projects, broad, cost-effective deployment may require improved methods, tools, and testing. This publication identifies requirements for successful implementation of ISO 15926-based information exchange. Currently there exists a draft methodology for information modeling with ISO-15926, documented in a patchwork of ISO-approved and draft-status documents, and supplemented by documents produced by industry projects [1], [2]. However, there are variations and no consensus as to the criteria for achieving interoperability. There are reasons to believe that successful implementation of ISO 15926 - based exchanges will require substantial refinement of the methodology. Further, there are many more requirements for successful implementation – matters of technical sufficiency and organizational responsibility – that have received insufficient attention. -
The Role of ISO 15926 for Applying Enterprise Service Bus Technologies in Oil & Gas Industry Solutions
Dr. Udo Pletat IBM Deutschland Research & Development GmbH Böblingen, Germany, [email protected] Semantic Days 2010 Tutorial The role of ISO 15926 for applying enterprise service bus technologies in oil & gas industry solutions Dr. Udo Pletat IBM Germany, Boeblingen © 2010 IBM Corporation Dr. Udo Pletat IBM Deutschland Research & Development GmbH Böblingen, Germany, [email protected] Topic areas Enterprise Application Integration flashback Industry standard information models and EAI – ISO 15926 and Reference Semantic Model ISO 15926 and Reference Semantic Model alignment revisited Relating iRING and IIF from an EAI bus perspective Summary 2 © 2010 IBM Corporation Dr. Udo Pletat IBM Deutschland Research & Development GmbH Böblingen, Germany, [email protected] Motivation Observe existence of different application integration infrastructures & technologies –Enterprise application level: Enterprise Service Bus approach to connect ERP, EAM, CRM systems –Production Control Level: Open Process Control (OPC) to integrate DCS and MES systems Integrate integration infrastructures vertical application integration 3 © 2010 IBM Corporation Dr. Udo Pletat IBM Deutschland Research & Development GmbH Böblingen, Germany, [email protected] Enterprise Application Integration flashback to year 2000 Application 1 SemanticSemantic modelmodel // Application 2 syntacticsyntactic representationrepresentation ASBO 1 ASBO 2 Adapter 1 Adapter 2 GBO GBO Integration flows based on Generic Business Objects GBO Enterprise Service Bus GBO Adapter 3 Adapter -
Product Data Sheet Ontology
NISTIR 8035 Product Data Sheet Ontology Binyam Abeye Edward Barkmeyer Peter Denno This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8035 NISTIR 8035 Product Data Sheet Ontology Binyam Abeye Edward Barkmeyer Peter Denno National Institute of Standards and Technology This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8035 December 2014 U.S. Department of Commerce Penny Pritzker, Secretary National Institute of Standards and Technology Willie May, Acting Under Secretary of Commerce for Standards and Technology and Acting Director NIST Product Data Sheet Ontology Authors: Binyam Abeye, Edward Barkmeyer, Peter Denno, NIST December 5, 2014 Draft 13 November 2014 Abstract Data exchange transactions for the engineering, procurement, and operation of process equipment depend heavily on product data sheets. Product data sheets are traditional paper forms that serve as the main method of communicating detailed equipment specifications. There are many standards for the layout and use of product data sheets, but there are still problems with the data exchanges that use them. First, most transactions are still done with the exchange of document images, e.g., scanned product data sheets, which have to be interpreted by humans and transcribed for use in a software tool. Second, the commonly used machine-interpretable forms of product data sheets are created using spreadsheet tools, but there is often disagreement on terminology and on the intended meaning of certain fields. This publication introduces the concept of a Product Data Sheet Ontology covering the types of information included on product data sheets. The ontology is a formal machine-readable terminology that is based on industry standard glossaries of terms and definitions.