Research On Multi-objective Emergency Resource Allocation In Chemical Industrial Parks

As a highly concentrated area of inflammable,explosive,and toxic major hazards,the chemical industrial park will cause a series of chain reactions and disastrous consequences in case of fire,explosion or poison leakage and diffusion.Therefore,using big data,artificial intelligence,and other high-tech to improve the ability of risk perception,monitoring and early warning,collaborative rescue,and emergency response to the chemical industrial park has become one of the key areas under the new development pattern.In the emergency response to the chemical industrial park,the emergency resource allocation in chemical industrial park is the foundation of emergency and rescue for hazardous chemical accidents and is also a basic element of the emergency management ability of the chemical industrial park.This dissertation mainly focuses on how to reasonably allocate and quickly deliver the emergency resources of nearby reserve points to the incident point,so as to ensure the smooth implementation of the emergency and rescue plans and minimize the risk of secondary accidents or multiple accidents.However,most of the existing studies concentrate on the single-objective optimization and the timeliness of emergency response but ignore the continuity of resource consumption,which cannot achieve a good balance between multiple objectives.Therefore,this dissertation studies the multi-objective emergency resource allocation in chemical industrial parks.The main work of this dissertation is summarized as below.(1)The research background and significance of emergency resource allocation for hazardous chemical accidents in chemical industrial parks are expounded.The related work on emergency decision-making in chemical industrial park is introduced,points out the deficiencies in the stage of research,and the existing shortcomings are discussed,based on which the problems to be solved and the research direction of this dissertation are put forward.(2)The theoretical concepts,mathematical models,and common solution methods of multi-objective optimization are introduced.The evolutionary algorithms,some classic multi-objective evolutionary algorithms(especially the non-dominated sorting genetic algorithm,NSGA-II),and the evaluation criteria are described in detail.(3)A multi-objective emergency resource allocation model,including the earliest emergency response time,the maximum deployment time(that is,the arrival time of the last batch of resources),the headquarters deployment time,and the number of reserve points involved in the rescue,is first constructed in terms of multiple reserve points,multiple emergency resources,and single incident point.Then,the constraint conditions for the continuous consumption of emergency resources are deduced.Additionally,an algorithm for multi-objective emergency resource allocation in chemical industrial parks is developed on the basis of the non-dominated sorting genetic algorithm(NSGA-II)and a heuristic strategy.The experimental results demonstrate that the proposed algorithm considers both the continuity and timeliness requirements of emergency response in chemical industrial parks and can provide the emergency and rescue for hazardous chemical accidents with more and better emergency resource allocation schemes.(4)To deal with the potential domino effect of hazardous chemical accidents in chemical industrial park,a multi-stage allocation model of emergency resources is constructed,and the corresponding multi-stage allocation algorithm of emergency resources is designed on the basis of NSGA-II.The experimental results show that,compared with the existing methods,the proposed method can effectively respond to domino accidents and realize the continuous allocation of resources in different stages,which provides a useful attempt for emergency rescue and disposal of hazardous chemical accidents with the domino effect.