CHEN Jianfei, QI Yuqing, CHEN Haoyu, CAO Yang, CHENG Yaoyao. Research on location of fire station in chemical industry park based on risk assessment[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 178-184.
Citation:
CHEN Jianfei, QI Yuqing, CHEN Haoyu, CAO Yang, CHENG Yaoyao. Research on location of fire station in chemical industry park based on risk assessment[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 178-184.
CHEN Jianfei, QI Yuqing, CHEN Haoyu, CAO Yang, CHENG Yaoyao. Research on location of fire station in chemical industry park based on risk assessment[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 178-184.
Citation:
CHEN Jianfei, QI Yuqing, CHEN Haoyu, CAO Yang, CHENG Yaoyao. Research on location of fire station in chemical industry park based on risk assessment[J]. Journal of Shanghai University of Engineering Science, 2021, 35(2): 178-184.
The location planning of fire station in chemical industry park is inevitably affected by potential risks. In order to optimize the layout of fire stations and increase the proportion of the impact of risk assessment on fire station location scheme, a set of risk assessment index system was established based on the difference of potential accident risks of various enterprises in the chemical industry park. The risk assessment of enterprises was carried out by grey relational analysis and fuzzy comprehensive evaluation method. On this basis, the concept of effective distance was introduced, and the actual distance and risk assessment value were combined and applied to the site selection optimization. The number and location of fire stations in the park were planned and designed by building set coverage method, which solves the problems of low coverage rate, repeated fire station area and long response time in traditional fire station location. The risk assessment of each enterprise and the location of fire station were carried out in the background of Nanjing Chemical Industry Park, and three risk levels were divided and the optimal fire station address was selected finally.