Simulation and testing platform of oil and gas station industrial control system based on digital twin technology

Zhuang Hao; Li Yang; Liu Xin; Tao Mingkun

doi:10.1117/12.2645728

23 August 2022 Simulation and testing platform of oil and gas station industrial control system based on digital twin technology

Zhuang Hao, Li Yang, Liu Xin, Tao Mingkun

Author Affiliations +

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 1230502 (2022) https://doi.org/10.1117/12.2645728
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

Aiming at the outstanding problems of long on-site debugging time and high risk of operation and parameter adjustment of industrial control systems in important production and processing bases of oil and gas stations, such as joint stations, transfer stations, and water injection stations, this paper adopts digital twin technology, rapid physical access technology for equipment, PLC and Configuration technology develop the simulation and test platform of the oil and gas station industrial control system, build the mapping relationship between the virtual space simulation model and the measured system entity, and realize the rapid access and reliability verification of the oil and gas station and warehouse PLC industrial control system. The platform significantly improves the operation quality of the industrial control system and reduces the occurrence of production safety accidents.

Citation Download Citation

Zhuang Hao, Li Yang, Liu Xin, and Tao Mingkun "Simulation and testing platform of oil and gas station industrial control system based on digital twin technology", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 1230502 (23 August 2022); https://doi.org/10.1117/12.2645728

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