An Integrated Implementation Methodology of a Lifecycle-wide Tracking Simulation Architecture

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Martinez, G. Santillan Karhela, T. Ruusu, R. Sierla, S. Vyatkin, V. 2018-12-21T10:29:03Z 2018-12-21T10:29:03Z 2018
dc.identifier.citation Martinez , G S , Karhela , T , Ruusu , R , Sierla , S & Vyatkin , V 2018 , ' An Integrated Implementation Methodology of a Lifecycle-wide Tracking Simulation Architecture ' IEEE Access , vol. 6 , pp. 15391-15407 . DOI: 10.1109/ACCESS.2018.2811845 en
dc.identifier.issn 2169-3536
dc.identifier.other PURE UUID: 25e1db1b-b97d-4af5-909e-74786675b1d6
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
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dc.description.abstract A tracking simulator is a decision support application in which dynamic estimation is used to continuously align the results of an online first principle simulation model with the measurements of the targeted plant. They are a holistic application where current and future plant information is available for operation support of process plants. Existing tracking simulators have focused on the application of online and offline methods for estimation of their underlying first principle models (FPMs). However, these systems have been less attractive than similar alternatives based on empirical modelling, due to the lack of systematic approaches that address challenges across the tracking simulation lifecycle, such as laborious development of FPMs as well as high integration costs with the process or with other systems and simulation methods. In contrast, the approach presented in this work integrates a tracking simulation architecture and various simulation methods to address the described challenges as follows. In order to tackle time-consuming development of FPMs, a method for generating tracking simulation models from models created during design phase is proposed. The process of connecting the tracking simulator to the physical plant and initializing the tracking simulator is automated. An optimization method for tracking simulation applications is developed to overcome drawbacks of available methods. The simulation architecture developed applies the proposed methodology during the various phases of tracking simulation. Furthermore, it exploits industrial communication standards to avoid the need for point-to-point integration of various simulators and other systems used over the course of the tracking simulator lifecycle. The work is demonstrated with laboratory process equipment. en
dc.format.extent 15391-15407
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries IEEE Access en
dc.relation.ispartofseries Volume 6 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other Materials Science(all) en
dc.subject.other Engineering(all) en
dc.subject.other 113 Computer and information sciences en
dc.title An Integrated Implementation Methodology of a Lifecycle-wide Tracking Simulation Architecture en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Electrical Engineering and Automation
dc.contributor.department VTT Technical Research Centre of Finland
dc.subject.keyword Adaptation models
dc.subject.keyword Estimation
dc.subject.keyword Monitoring
dc.subject.keyword online simulation
dc.subject.keyword OPC UA
dc.subject.keyword Optimization methods
dc.subject.keyword Predictive models
dc.subject.keyword Process control
dc.subject.keyword process simulation
dc.subject.keyword simulation architecture
dc.subject.keyword Target tracking
dc.subject.keyword tracking simulation
dc.subject.keyword Computer Science(all)
dc.subject.keyword Materials Science(all)
dc.subject.keyword Engineering(all)
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201812216635
dc.identifier.doi 10.1109/ACCESS.2018.2811845
dc.type.version publishedVersion

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