Martynas Prokopas , Anders Wallander , Bertrand Bauvir , Jorge Sousa
{"title":"ITER Control System Model: A full-scale simulation platform for the CODAC infrastructure","authors":"Martynas Prokopas , Anders Wallander , Bertrand Bauvir , Jorge Sousa","doi":"10.1016/j.fusengdes.2018.01.060","DOIUrl":null,"url":null,"abstract":"<div><p>ITER Control System Model (ICM) is a simulation platform for CODAC that is currently being developed at ITER. CODAC is the conventional control system responsible for operating all plant systems from the 35 member states that are contributing to the ITER development. ICM is a full-scale implementation of CODAC that follows all ITER hardware and software conventions, but does not have any signal interfaces to other components of ITER nor any simulation of physical processes. Instead, it relies on state-based simulators that are used to verify CODAC operation at different stages of ITER execution. ICM currently consists of a single server cubicle that houses all hardware and software required to run a full-scale control system configuration without any dependencies on external servers. With its self-sustaining and isolated nature, ICM is capable of simulating the production stage of ITER. It provides an excellent test environment for various CODAC technologies and validating the interoperability of all the different plant systems across the infrastructure, which will contribute to minimizing the downtime of ITER due to avoidable errors. ICM is also being considered as a potential operator training facility.</p></div>","PeriodicalId":55133,"journal":{"name":"Fusion Engineering and Design","volume":"128 ","pages":"Pages 86-89"},"PeriodicalIF":2.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fusengdes.2018.01.060","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fusion Engineering and Design","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920379618300784","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 4
Abstract
ITER Control System Model (ICM) is a simulation platform for CODAC that is currently being developed at ITER. CODAC is the conventional control system responsible for operating all plant systems from the 35 member states that are contributing to the ITER development. ICM is a full-scale implementation of CODAC that follows all ITER hardware and software conventions, but does not have any signal interfaces to other components of ITER nor any simulation of physical processes. Instead, it relies on state-based simulators that are used to verify CODAC operation at different stages of ITER execution. ICM currently consists of a single server cubicle that houses all hardware and software required to run a full-scale control system configuration without any dependencies on external servers. With its self-sustaining and isolated nature, ICM is capable of simulating the production stage of ITER. It provides an excellent test environment for various CODAC technologies and validating the interoperability of all the different plant systems across the infrastructure, which will contribute to minimizing the downtime of ITER due to avoidable errors. ICM is also being considered as a potential operator training facility.
期刊介绍:
The journal accepts papers about experiments (both plasma and technology), theory, models, methods, and designs in areas relating to technology, engineering, and applied science aspects of magnetic and inertial fusion energy. Specific areas of interest include: MFE and IFE design studies for experiments and reactors; fusion nuclear technologies and materials, including blankets and shields; analysis of reactor plasmas; plasma heating, fuelling, and vacuum systems; drivers, targets, and special technologies for IFE, controls and diagnostics; fuel cycle analysis and tritium reprocessing and handling; operations and remote maintenance of reactors; safety, decommissioning, and waste management; economic and environmental analysis of components and systems.