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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	5503-5508
Number of pages	6
Volume	2017-January
ISBN (Electronic)	978-1-5386-1127-2
ISBN (Print)	978-1-5386-1128-9 , 978-1-5386-1126-5
DOIs	https://doi.org/10.1109/IECON.2017.8216952
Publication status	Published - 15 Dec 2017
MoE publication type	A4 Article in a conference publication
Event	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 Conference number: 43

Conference

Conference	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Abbreviated title	IECON 2017
Country/Territory	China
City	Beijing
Period	29/10/17 → 1/11/17

Keywords

process simulation
model adaptation
online simulation,
OPC Unified Architecture
tracking simulation

Access to Document

10.1109/IECON.2017.8216952

Cite this

Santillán Martínez, G., Karhela, T., Ruusu, 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 . In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 5503-5508). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IECON.2017.8216952

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

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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 Reino Ruusu and Tuomas Lackman and Valeriy Vyatkin",

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Santillán Martínez, G, Karhela, T, Ruusu, 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 . in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. vol. 2017-January, IEEE Institute of Electrical and Electronic Engineers, pp. 5503-5508, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17. 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; Ruusu, Reino et al.
Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January IEEE Institute of Electrical and Electronic Engineers, 2017. p. 5503-5508.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Ruusu, Reino

AU - Lackman, Tuomas

AU - Vyatkin, Valeriy

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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.

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

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Santillán Martínez G, Karhela T, Ruusu R, Lackman T, Vyatkin V. Towards a systematic path for dynamic simulation to plant operation: OPC UA-enabled model adaptation method for tracking simulation . In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January. IEEE Institute of Electrical and Electronic Engineers. 2017. p. 5503-5508 doi: 10.1109/IECON.2017.8216952