Research On Dynamic Scheduling Of Emergency Rescue Resources For Toxic Heavy Gas Leakage

Leakage of heavy gas will cause serious accidents,such as poisoning casualties and environmental pollution in a large range,which has strong destructive and potential risks.However,at present,the research on emergency rescue resource scheduling of toxic heavy gas leakage accident can not satisfy the needs of emergency rescue management.Therefore,this paper studies the dynamic scheduling of emergency rescue resources for the leakage of toxic heavy gas.First of all,the paper studies the selection of emergency rescue path,constructs a path optimization model,and uses the improved Dijkstra algorithm to achieve the optimal path and the shortest travel time.After that,the plain and suburban(non city)environments are selected as the research object.For the minor wound areas and the inhalation reaction areas,a single objective emergency rescue resource scheduling model with multiple supply points,multiple demand points and multiple material types which will be constructed,which aims to minimize the transportation cost of emergency rescue.A particle swarm optimization algorithm is designed to solve the model.On the basis of these,a multi-objective emergency rescue resource scheduling model is constructed for the accident area in the lethal areas and the seriously injured areas,which aims at the shortest weighted total emergency time and the lowest transportation cost of emergency rescue.The model is solved by using the multi-objective particle swarm optimization algorithm designed before.The decision-makers of emergency rescue can choose different emergency rescue schemes according to the actual situation of rescue.After the completion of the above research,the scheduling of emergency rescue resources for the leakage of toxic heavy gas in the urban environment will be further studied.First of all,the table of the total cost system of emergency rescue is constructed,and the weight values of all levels of indicators are determined and quantified by the order relation analysis method.For the minor wound areas and the inhalation reaction areas,a single objective integrated optimization model is constructed,which aims to minimize the total cost of emergency rescue.The Beetle Antenna Search algorithm is introduced to disturb the particle selection process.The simulation results show that BAS-PSO algorithm is effective.Then,the multi-objective fuzzy demand model is constructed for the lethal areas and the seriously injured areas,which aims at the shortest weighted total emergency time and the lowest total emergency rescue cost.The improved multi-objective particle swarm optimization algorithm is used to solve the model,and then the dynamic scheduling problem in the emergency rescue process is illustrated by a set of examples.The improved multi-objective particle swarm optimization algorithm is analyzed and evaluated from the aspects of the number of non-dominated solutions,solution set quality,spatial distribution,etc.Finally,on the basis of the above research,a decision support system for emergency rescue of toxic heavy gas leakage accident is buil by Matlab GUI and Access database.It is convenient for emergency rescue decision makers to obtain more abundant and intuitive decision basis.