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Multi-agent-based Modelling and Virtual Reality Simulation System of Major Accidents in Petrochemical Enterprise
Author(s) -
Wenjiang Chen,
Jinxing Hu,
Yuan Di-ping,
Jiaoyang Liu
Publication year - 2022
Publication title -
journal of software
Language(s) - English
Resource type - Journals
ISSN - 1796-217X
DOI - 10.17706/jsw.17.2.58-70
Subject(s) - computer science , virtual reality , petrochemical , computer security , liquefied petroleum gas , risk analysis (engineering) , artificial intelligence , engineering , business , waste management
The major accidents usually cause massive property loss and casualties in petrochemical enterprise. The simulation system of major accidents plays an important role in safety management, risk assessment, accident prevention and emergency drill and others. In this paper, the Multi-Agent block model for simulating major accidents is based on Multi-Agent technology. A method for reconstructing major accidents is proposed based on virtual reality (VR) idea. Then, a VR simulation system (VRSS) of major accidents is developed by introducing the established methodologies. Finally, the VRSS is applied to simulate the occurrence and consequences of major accidents including fire, explosion, leakage and diffusion triggered by liquefied petroleum gas tank in the storage area of petrochemical enterprise. The application results show that the established methodologies are reasonable and stable. The advantages of VRSS include intelligence, real-time consequence assessment, high efficiency and immersive sense.

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