Research On Emergency Linkage Response Of Hazardous Chemicals Accidents In Port

The chemical port area is a link involving the production,processing,transportation,storage and use of the chemical industry,storage and use of the chemical industry,as well as the complex system of loading,unloading and transshipment in the field of transportation and logistics.Different types of hazardous chemicals are gathered in the chemical port,once a company has a production safety accident such as a fire or explosion,it is very easy to trigger a domino effect.So far,many scholars have carried out a lot of research on the emergency response of a single chemical enterprise.However,the research on multi-agent emergency response at the port level has been less concerned.In order to avoid the expansion of accident consequences,a multi-agent system has been established at the enterprise level.The emergency linkage response procedure has become a subject of research significance.Based on the statistics of historical accidents in the port area,the main scenes that are prone to accidents in the port area are clarified,and the scenario construction theory is used to analyze the three typical scenarios of the port area’s hazardous chemical tank farm,hazardous chemical transport ship and hazardous chemical transportation pipeline.Inherent attributes are analyzed,multiple event tree nodes are screened,and the impact of each node on the scenario evolution is analyzed.The event tree is used to construct a scenario set of emergency events in the port area.Collect relevant data of chemical industry accidents,analyze the main factors affecting casualties,screen eight influencing factors including accident area,leakage type,and count historical accidents as input parameters of BP neural network.Use ALOHA software to simulate the accident scene of hazardous chemical leakage,import MARPLOT software to realize the on-site visualization of the accident consequences,and determine the affected area as one of the input parameters of BP neural network prediction to predict the number of casualties;the predicted number of casualties.On the one hand,it is used to estimate the demand for medical and other consumable emergency supplies in ‘general + professional’ emergency supplies,and on the other hand,it can determine the severity of the accident;when the accident scenario is determined,use the ‘scene-response’ theory to adjust the scenario qualitative analysis of emergency supplies is carried out to clarify the emergency supplies that need to be dispatched first,so that the demand analysis of emergency supplies is carried out from both quantitative and qualitative perspectives.An emergency decision-making matrix is constructed from the two dimensions of accident severity and scenario upgrade,and the probability of scenario upgrade is determined by the method of fuzzy numbers combined with expert language variables,and an approximate probability value of scenario upgrade is obtained,which is transformed into the possibility of scenario upgrade,and then combined Use the severity of the accident determined by the BP neural network to determine the emergency response level of the research object;then reselect the research object,determine the response level,establish a multi-agent hierarchical response mechanism in the same accident scenario,and formulate a corresponding emergency response plan,and finally form a one set of scenario-based multi-agent emergency linkage response procedures.Through the establishment of multi-agent emergency response linkages,enterprises can initiate response procedures in a timely manner,and through mutual assistance and rescue mechanisms,avoid catastrophic consequences caused by accident escalation,provide a reference for enterprises to carry out emergency rescue cooperation,and improve the existing emergency response system.