Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation

Gerardo Santillán Martínez; Tommi Karhela; Ruusu Reino; Tuomas Lackman; Valeriy Vyatkin

doi:10.1109/IECON.2017.8216952

Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation

Gerardo Santillán Martínez, Tommi Karhela, Ruusu Reino, Tuomas Lackman, Valeriy Vyatkin

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

66 Lataukset (Pure)

Abstrakti

A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.

Alkuperäiskieli	Englanti
Otsikko	Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Kustantaja	IEEE
Sivut	5503-5508
Sivumäärä	6
ISBN (elektroninen)	978-1-5386-1127-2
DOI - pysyväislinkit	https://doi.org/10.1109/IECON.2017.8216952
Tila	Julkaistu - 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Annual Conference of the IEEE Industrial Electronics Society - Beijing, Kiina Kesto: 29 lokak. 2017 → 1 marrask. 2017 Konferenssinumero: 43 http://iecon2017.csp.escience.cn/

Julkaisusarja

Nimi	Proceedings of the Annual Conference of the IEEE Industrial Electronics Society
Kustantaja	IEEE
ISSN (painettu)	1553-572X

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society
Lyhennettä	IECON
Maa/Alue	Kiina
Kaupunki	Beijing
Ajanjakso	29/10/2017 → 01/11/2017
www-osoite	http://iecon2017.csp.escience.cn/

Pääsy asiakirjaan

10.1109/IECON.2017.8216952

Martinez_etal_IECON_2017_5503
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Santillán Martínez, G., Karhela, T., Reino, R., Lackman, T., & Vyatkin, V. (2017). Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation. teoksessa Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 (Sivut 5503-5508). (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON.2017.8216952

Santillán Martínez, Gerardo ; Karhela, Tommi ; Reino, Ruusu et al. / Towards a systematic path for dynamic simulation to plant operation : OPC UA-enabled model adaptation method for tracking simulation. Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 . IEEE, 2017. Sivut 5503-5508 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

@inproceedings{e8f34fbc5c424e848e12fbad50ca3ef6,

title = "Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation",

abstract = "A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.",

keywords = "process simulation, model adaptation, online simulation, OPC Unified Architecture, tracking simulation",

author = "{Santill{\'a}n Mart{\'i}nez}, Gerardo and Tommi Karhela and Ruusu Reino and Tuomas Lackman and Valeriy Vyatkin",

year = "2017",

doi = "10.1109/IECON.2017.8216952",

language = "English",

series = "Proceedings of the Annual Conference of the IEEE Industrial Electronics Society",

publisher = "IEEE",

pages = "5503--5508",

booktitle = "Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017",

address = "United States",

note = "Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 29-10-2017 Through 01-11-2017",

url = "http://iecon2017.csp.escience.cn/",

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Santillán Martínez, G, Karhela, T, Reino, R, Lackman, T & Vyatkin, V 2017, Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation. julkaisussa Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 . Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, IEEE, Sivut 5503-5508, Annual Conference of the IEEE Industrial Electronics Society, Beijing, Kiina, 29/10/2017. https://doi.org/10.1109/IECON.2017.8216952

Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation. / Santillán Martínez, Gerardo; Karhela, Tommi; Reino, Ruusu et al.
Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 . IEEE, 2017. s. 5503-5508 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

TY - GEN

T1 - Towards a systematic path for dynamic simulation to plant operation

T2 - Annual Conference of the IEEE Industrial Electronics Society

AU - Santillán Martínez, Gerardo

AU - Karhela, Tommi

AU - Reino, Ruusu

AU - Lackman, Tuomas

AU - Vyatkin, Valeriy

N1 - Conference code: 43

PY - 2017

Y1 - 2017

N2 - A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.

AB - A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive tool to provide production forecasts based on the current state of the plant. The appearance of industrial applications based on tracking simulators has been hindered by high development cost and time-consuming sustainability of simulation models. In order to overcome this, dynamic simulation models developed during the process design and engineering stages could be used for implementing industrial tracking simulators. However, before these models can be utilized online, they require going through a model adaptation procedure where their structure and parameters are updated. This paper presents a model adaptation method for the implementation of tracking simulators which utilizes OPC Unified Architecture to adapt simulation models developed during the engineering phases of the process plant and apply them at the operation and maintenance stages. In this work, the method is described, implemented and tested using a representative process.

KW - process simulation

KW - model adaptation

KW - online simulation

KW - OPC Unified Architecture

KW - tracking simulation

U2 - 10.1109/IECON.2017.8216952

DO - 10.1109/IECON.2017.8216952

M3 - Conference contribution

T3 - Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

SP - 5503

EP - 5508

BT - Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017

PB - IEEE

Y2 - 29 October 2017 through 1 November 2017

ER -

Santillán Martínez G, Karhela T, Reino R, Lackman T, Vyatkin V. Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation. julkaisussa Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 . IEEE. 2017. s. 5503-5508. (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON.2017.8216952

Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation

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