Scientific Results

  • ID:
    publications-5303
  • Type:
    Conference paper
  • Year:
    2022
  • Authors:
    Hao Z.; Yang L.; Xin L.; Mingkun T.
  • Title:
    Simulation and testing platform of oil and gas station industrial control system based on digital twin technology
  • Venue/Journal:
    Proceedings of SPIE - The International Society for Optical Engineering
  • DOI:
    10.1117/12.2645728
  • Research type:
  • Water System:
  • Technical Focus:
  • 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. Β© 2022 SPIE.
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