Journal of System Simulation ›› 2020, Vol. 32 ›› Issue (10): 1903-1909.doi: 10.16182/j.issn1004731x.joss.20-FZ0475

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Chemical Cluster Cooperative Patrolling Strategy Based on Game Theory

Chen Feiran, Chen Bin, Zhu Zhengqiu, Qiu Xiaogang, Wang Yiduo, Zhao Yong   

  1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2020-03-30 Revised:2020-07-11 Online:2020-10-18 Published:2020-10-14

Abstract: Industrial production activities in the chemical cluster pose great threats to the surrounding atmospheric environment and human health. It is necessary for the management team to strictly supervise the chemical production processes and monitor the gas emissions to ensure the air quality. One of the effective means is to patrol chemical plants in the chemical cluster. The cooperative patrolling strategy of multiple patrol vehicles based on game theory is studied. A greedy deployment algorithm to determine the initial deployment of patrol vehicles is proposed. The static partition cooperation method is used to partition the chemical cluster into multiple small areas. A patrolling game model between the patrol vehicles and chemical plants is constructed, and the Stackelberg equilibrium of the game is obtained through the MultiLPs algorithm. The Antwerp Chemical Cluster is selected for a case study. The results show that the patrol vehicles can increase the payoff by 8.08% to 35.24%.

Key words: cooperative patrolling, patrolling strategy, game theory, chemical cluster

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