Game patrol strategy for hazardous gas leakage in chemical parks

Autor: Yin CHEN, Lize ZHANG, Guohua SHUAI, Lili CHEN, Zhen WANG
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: 智能科学与技术学报, Vol 5, Pp 366-377 (2023)
Druh dokumentu: article
ISSN: 2096-6652
DOI: 10.11959/j.issn.2096-6652.202338
Popis: In the context of promoting the integration of smart cities, the pace of construction of smart chemical parks is gradually accelerating.Since accidents in China’s chemical industry have occurred frequently in recent years, causing great damage and loss to public safety, improving the safety management and emergency response capability of chemical parks is an urgent need to be solved.For this kind of safety problems, this paper proposed a game patrol strategy for hazardous gas leakage in chemical parks.Firstly, the convective diffusion model was used to describe the process of hazardous gas leakage.Secondly, game theory was introduced to model the confrontation process between the attacking and defending parties in the patrol problem, and the response time of the defenders to a safety incident was correlated with its benefit.Then, a multilinear programming-based GGC algorithm was proposed to solve this game model.Finally, the gains of the game model in this paper were compared with the other two basic methods in the scenarios of three real chemical park case with different sizes.The results show that the model can effectively improve the gains of the defender and reduce the gains of the attacker.
Databáze: Directory of Open Access Journals