Overview of Iot Semantics Landscape
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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 -
Compatible Drivers & Applications
UPDATED LIST framework® Compatible Drivers & Applications NIAGARA COMMUNITY HAS A DRIVER FOR EVERY NEED Niagara Framework® offers an open platform that developers all over the world are utilizing to create solutions to real-world problems. This fast growing collection of drivers is unmatched in the industry. In many cases, the right driver for your integration work is available off-the-shelf from one of our development partners. This document strives to list all drivers available for purchase or, in some cases, for free at the current time. Note that Tridium has not tested all listed drivers and does not certify conformance. We have compiled this list as a convenience to our customers and, as new offerings are introduced by Niagara Community developers all the time, it may not be comprehensive. If you don’t find the driver or application you are looking for on this list, the openness of the Niagara environment means you can relatively easily develop the solution you need. Moreover, Tridium ‘s developer support team and others in the Niagara Community are here to help. Driver Name System Detail Type of System Developer For More Information Connection Type Niagara Platform Niagara Version Accruent Alarm Driver Send configured alarms to the Any system that generates an Accruent IP JACE AX and N4 accruent server Alarm including HVAC, Refrig- eration and Lighting Accruent Configuration Driver To clone the JACE device to Any System that needs a col- Accruent N/A IP JACE AX and N4 the Accruent system for map- lection of Telemetry data or ping telemetry data values changing values on a JACE Accruent IOT Driver Works with the Accruent Con- Any System that needs values Accruent N/A IP JACE AX and N4 figuration Driver to change changed for a period of time the values on a JACE from the including Turning on/off Accruent System Lights, Temps on HVAC and Refrigeration Devices Mainly. -
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. -
Wireless Sensor Networks
WIRELESS SENSOR NETWORKS PRESENTED BY VIVEK KRISHNA KANNAN SIDDARTH RAM MOHAN ARUN OUTLINE • Wireless sensor networks • The Internet of Things and the role of WSN • TinyOS • Programming with Tinyos WIRELESS SENSOR NETWORKS • Comprises of spatially connected autonomous sensors • Typically used to measure temperature, pressure etc • Usually bi-directional allowing for control of sensor activity WIRELESS SENSOR NETWORKS MOTES/NODES • Sensors + supporting elements = Mote/Node • So, apart from the sensor, each mote typically consists of : • Radio transceiver with an internal antenna • A microcontroller • An interfacing element between the microcontroller and sensor • An energy source ( Battery or an energy harvesting element) GATEWAY • GATEWAY acts as a bridge between the WSN and other networks. This enables data to be stored and processed by devices with more resources, for example, in a remotely located server. RADIO TECHNOLOGIES AVAILABLE • Long range: 3G / GPRS • Medium range: ZigBee / 802.15.4 / WiFi • Short range: RFID / NFC / Bluetooth 4.0 ROUTING PROTOCOLS : CHALLENGES • No global IP addressing • This is due to the relatively large number of sensor nodes • Consequently overhead of ID maintenance is high • Thus IP based protocols don’t work ROUTING PROTOCOLS • The search for an ideal universal routing protocol for WSN’s is an ongoing process • A Technique is to have protocols based on the network structure • Common protocols for WSN: flat based and location based network structures ROUTING PROTOCOL : FLAT BASED NETWORK STRUCTURE • Here -
Communication Method for Manufacturing Services in a Cyber–Physical Manufacturing Cloud
International Journal of Computer Integrated Manufacturing ISSN: 0951-192X (Print) 1362-3052 (Online) Journal homepage: https://www.tandfonline.com/loi/tcim20 Communication method for manufacturing services in a cyber–physical manufacturing cloud S. M. Nahian Al Sunny, Xiaoqing F. Liu & Md Rakib Shahriar To cite this article: S. M. Nahian Al Sunny, Xiaoqing F. Liu & Md Rakib Shahriar (2018) Communication method for manufacturing services in a cyber–physical manufacturing cloud, International Journal of Computer Integrated Manufacturing, 31:7, 636-652, DOI: 10.1080/0951192X.2017.1407446 To link to this article: https://doi.org/10.1080/0951192X.2017.1407446 Published online: 24 Nov 2017. Submit your article to this journal Article views: 214 View Crossmark data Citing articles: 2 View citing articles Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=tcim20 INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING 2018, VOL. 31, NO. 7, 636–652 https://doi.org/10.1080/0951192X.2017.1407446 ARTICLE Communication method for manufacturing services in a cyber–physical manufacturing cloud S. M. Nahian Al Sunny, Xiaoqing F. Liu and Md Rakib Shahriar Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, USA ABSTRACT ARTICLE HISTORY The integration of cyber–physical systems and cloud manufacturing has potential to change manufac- Received 1 November 2016 turing processes for better manufacturing accessibility, agility, and efficiency. To achieve this, it is Accepted 13 November necessary to establish a communication method of manufacturing services over the Internet in order 2017 to access and manage manufacturing resources from the cloud. -
Iso/Ts 13399-5:2014
PD ISO/TS 13399-5:2014 BSI Standards Publication Cutting tool data representation and exchange Part 5: Reference dictionary for assembly items PD ISO/TS 13399-5:2014 PUBLISHED DOCUMENT National foreword This Published Document is the UK implementation of ISO/TS 13399-5:2014. The UK participation in its preparation was entrusted to Technical Committee MTE/18, Tools tips and inserts for cutting applications. A list of organizations represented on this committee can be obtained on request to its secretary. This publication does not purport to include all the necessary provisions of a contract. Users are responsible for its correct application. © The British Standards Institution 2014. Published by BSI Standards Limited 2014 ISBN 978 0 580 82713 6 ICS 25.100.01; 35.240.50 Compliance with a British Standard cannot confer immunity from legal obligations. This Published Document was published under the authority of the Standards Policy and Strategy Committee on 31 March 2014. Amendments/corrigenda issued since publication Date Text affected PD ISO/TS 13399-5:2014 TECHNICAL ISO/TS SPECIFICATION 13399-5 Second edition 2014-02-15 Cutting tool data representation and exchange — Part 5: Reference dictionary for assembly items Représentation et échange des données relatives aux outils coupants — Partie 5: Dictionnaire de référence de termes pour les éléments d’assemblage Reference number ISO/TS 13399-5:2014(E) © ISO 2014 PD ISO/TS 13399-5:2014 ISO/TS 13399-5:2014(E) COPYRIGHT PROTECTED DOCUMENT © ISO 2014 All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized otherwise in any form orthe by requester. -
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. -
Network & Wireless
NETWORK & WIRELESS HUMIDITY & WIRELESS Kele Has Doubled the Offering of Network and Wireless Solutions, NETWORK and Continues to Add to Our Options to Meet Your Needs. Babel Buster | p. 719 L-VIS Series | p. 721 BASRT-B | p. 727 Series 110A | p. 733 ValuPoint VP4-23 | p. 744 EKI Series | p. 738 Series NETWORK & WIRELESS Products manufactured MODEL/SERIES PAGE in the United States Network Display and Control Panels Wireless EnOcean and ZigBee Devices L-VIS Series — BACnet and LON Touch Panel . 721 and Systems (cont.) Products that are BBC-SD — BACnet Graphic Display . 724 E3T-SxE Series — EnOcean Wireless European new to the catalog WebOP Series — Touchscreen Operator Display Light Switches . 826 Panel . 725 E3T-S2H Series — EnOcean Wireless Handheld Remote . 827 Network Gateways EasySens Thanos — EnOcean Room Operating ETH-1000 — Provides connectivity between Ethernet Panel . .. 830 and RS-485 based networks . 713 EasySens Receiver Gateways — EnOcean Receiver XLTR-1000 — Provides Connectivity Between Two Gateways . 831 Rs-485 Based Networks . 714 EasySens SRC Receiver Controllers — EnOcean Raptor Protocol Converter — RLE Technologies Receiver Controllers . 832 Protocol Coverter . 715 EasySens Repeater — EnOcean Wireless LGATE-9xx Series — Lonworks/Bacnet And Repeater . 833 Universal Gateways . 717 EasySens Switches — EnOcean Lighting, Blinds Babel Buster Series — BACnet - Modbus - SNMP and Shutters Switches . 834 Gateways . 719 EasySens Specialty Wireless Transmitters — AddMe® Series — BACnet - Modbus Network I/O . 743 EnOcean Remote Control, Key Card Switch, Window/Door Contact . 835 Network I/O Modules EasySens Room Sensors — EnOcean Temperature, Humidity and CO2 Sensors . 836 L-IOB Series — BACnet and LON I/O Module . 739 EasySens Temperature Sensors — EnOcean i.CanDoIt Series — Embedded Network Servers 742 Surface, Duct, Remote and Outdoor AddMe® Series — BACnet - Modbus Network I/O . -
Digital Twin-Driven Smart Manufacturing: Connotation, Reference Model, Applications and Research Issues
Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues Yuqian Lu a, Chao Liu b, Kevin I-Kai Wang c, Huiyue Huang a, Xun Xu a,* a Department of Mechanical Engineering, The University of Auckland, New Zealand b School of Engineering, Cardiff University, United Kingdom c Department of Electrical, Computer and Software Engineering, The University of Auckland, New Zealand * Corresponding author: Tel.: +64 9 923 4527; E-mail address: [email protected] ABSTRACT This paper reviews the recent development of Digital Twin technologies in manufacturing systems and processes, to analyze the connotation, application scenarios, and research issues of Digital Twin-driven smart manufacturing in the context of Industry 4.0. To understand Digital Twin and its future potential in manufacturing, we summarized the definition and state-of-the- art development outcomes of Digital Twin. Existing technologies for developing a Digital Twin for smart manufacturing are reviewed under a Digital Twin reference model to systematize the development methodology for Digital Twin. Representative applications are reviewed with a focus on the alignment with the proposed reference model. Outstanding research issues of developing Digital Twins for smart manufacturing are identified at the end of the paper. Keywords : Smart Manufacturing; Digital Twin; Industry 4.0; Cyber-physical System; Big Data; Standard; Industrial Communication Y. Lu, C, Liu, K, Wang, H, Huang, X. Xu, Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues, Robot. Comput. Integr. Manuf. 1 Introduction Digital Twin has gained significant impetus as a breakthrough technological development that has the potential to transform the landscape of manufacturing today and tomorrow [1]. -
Pdf/2015/Births.Pdf Similarly, Delay in Penetration of Screening Guidelines to 11
Peer-Reviewed Journal Tracking and Analyzing Disease Trends Pages 1–192 EDITOR-IN-CHIEF D. Peter Drotman Associate Editors EDITORIAL BOARD Paul Arguin, Atlanta, Georgia, USA Timothy Barrett, Atlanta, Georgia, USA Charles Ben Beard, Fort Collins, Colorado, USA Barry J. Beaty, Fort Collins, Colorado, USA Ermias Belay, Atlanta, Georgia, USA Martin J. Blaser, New York, New York, USA David Bell, Atlanta, Georgia, USA Richard Bradbury, Atlanta, Georgia, USA Sharon Bloom, Atlanta, GA, USA Christopher Braden, Atlanta, Georgia, USA Mary Brandt, Atlanta, Georgia, USA Arturo Casadevall, New York, New York, USA Corrie Brown, Athens, Georgia, USA Kenneth C. Castro, Atlanta, Georgia, USA Charles Calisher, Fort Collins, Colorado, USA Benjamin J. Cowling, Hong Kong, China Michel Drancourt, Marseille, France Vincent Deubel, Shanghai, China Paul V. Effler, Perth, Australia Christian Drosten, Charité Berlin, Germany Anthony Fiore, Atlanta, Georgia, USA Isaac Chun-Hai Fung, Statesboro, Georgia, USA David Freedman, Birmingham, Alabama, USA Kathleen Gensheimer, College Park, Maryland, USA Duane J. Gubler, Singapore Peter Gerner-Smidt, Atlanta, Georgia, USA Richard L. Guerrant, Charlottesville, Virginia, USA Stephen Hadler, Atlanta, Georgia, USA Scott Halstead, Arlington, Virginia, USA Matthew Kuehnert, Atlanta, Georgia, USA Katrina Hedberg, Portland, Oregon, USA Nina Marano, Atlanta, Georgia, USA David L. Heymann, London, UK Martin I. Meltzer, Atlanta, Georgia, USA Keith Klugman, Seattle, Washington, USA David Morens, Bethesda, Maryland, USA Takeshi Kurata, Tokyo, Japan J. Glenn Morris, Gainesville, Florida, USA S.K. Lam, Kuala Lumpur, Malaysia Patrice Nordmann, Fribourg, Switzerland Stuart Levy, Boston, Massachusetts, USA Ann Powers, Fort Collins, Colorado, USA John S. MacKenzie, Perth, Australia Didier Raoult, Marseille, France John E. McGowan, Jr., Atlanta, Georgia, USA Pierre Rollin, Atlanta, Georgia, USA Jennifer H. -
Inter-Device Connectivity and Foundations of Industrial Internet
Inter-device Connectivity and Foundations of Industrial Internet Cyber-physical Automation William Sobel – MTConnect Chief Architect Me • Will Sobel • System Insights – Predictive Analytics 4 Mfg • Chief Strategy Officer • MTConnect Chief Architect and Chair of TSC • Done lots of stuff for many industries Agenda • Inter-device connectivity – Demonstration of Part 3.1 Interfaces • Industrial Internet – MTConnect as foundation of industrial internet Inter-device connectivity using read-only communication Observation Communication Pattern MTCONNECT INTERFACES Interfaces h1p://… h1p://… Agent Agent HTTP$Get$–$Read$Only Control Safety$ Control By$Design Executive Executive Connectivity Present - $$$$ MTConnect - $ Vendor Specific Vendor Robot CNC Application Application Controller Controller Software Software Custom Interface Custom Interface Robot Controller CNC Controller PLC PLC Cell Controler Adapter Executive Executive Adapter MTConnect Agent MTConnect Agent Custom Custom Interface Interface Application Specific Software Distributed Intelligence Present MTConnect Cell Controler Wires Haas Robot Ready Option - 2014 Communications Present MTConnect <<PartArchetypeComponentStream assetId component="X11255678="MaterialHandlerInterface" timestamp="2004-10-05T12:00:00Z" " States revisionIdname="material="7"> " componentId="ml2"> …<Events > <ProcessStep stepId="40”> <LinkState dataItemId="ls" timestamp="2015-04-23T18:15:50.129272Z" <Description>FINISH FWD</Description> …>ENABLED</LinkState> <Targets> Off On <<MaterialLoadTargetDevice subType>SL-75</="TargetDeviceREQUEST">>ACTIVE