Research On Emergency Auxiliary Decision System Of Subway Station Fire

Metro stations have complex structures and dense crowds,and sudden fire incidents can cause huge losses.Studying the auxiliary decision-making system for fire emergency response of subway stations can help to formulate reasonable solutions for fire emergency response.The system sets corresponding function usage rights for different users,and provides them with functions such as auxiliary decision making and information release.The system helps to improve the emergency response effect and information level of subway station fire.The main research content of the paper is divided into the following parts:(1)The composition of personnel involved in emergency response of subway station fire has been determined based on the emergency response process of subway emergency,and then the system users will be determined.By analyzing the tasks and responsibilities and its measures for emergency fire treatment of the system users which in different level,the system business and functional requirements are determined.(2)Based on the knowledge primitive theory,the disaster body primitive model,the disaster victim body knowledge primitive model and disaster resistant body knowledge primitive model are constructed for the three types of emergency objects including disaster body,disaster victim body and disaster resistant body in subway station fire cases,and the relational knowledge primitive model will be built according to the influential relationship between knowledge primitive model;the knowledge primitive model can be divided into "concept-attribute state value-associated attribute" according to its structural characteristics;using knowledge primitive model to represent the knowledge of subway station fire case to realize the similarity calculation of cases at the knowledge primitive level;screening of specific attributes of knowledge primitive model through auxiliary retrieval rules,the case retrieval process and the case retrieval accuracy is improved.(3)The production knowledge representation method has been uesd to express the emergency fire preparedness knowledge;describing the preparedness content by rule type,rule condition and rule result.The rule condition "predicate name" and its"Parameter" mapping relationship has been constructed based on the first-order predicate logic and preparedness knowledge;taking the fire disposal measures of the relevant personnel as the rule conclusion and establishing the mapping relationship with the rule condition to construct the rules for rule based reasoning.(4)A subway fire incident will be used to verify the auxiliary decision model.Some emergency cases has been expressed through the subway station fire case knowledge model to establish the case database;calculaing the similarity of the relational attribute of primitive,disaster body knowledge primitive and disaster victim body knowledge primitive between the incident and the emergency cases,and two emergency cases with the similarity of 0.61 and 0.69 which meet the threshold has been obtained respectively,setting up the auxiliary search rules to filter the results,and the response measures of the emergency case with similarity of 0.69 has been obtained.With the help of rule inference language,the emergency response measures of a station staff are generated.Finally,the emergency case response measures and rule reasoning results are integrated and analyzed,and then the system-assisted decision-making model is verified.(5)Prototype design of auxiliary decision-making system for emergency response of subway station fire.The key points of sub-function development which belongs to system auxiliary decision module will be stuied,also the calling process and the interface of data transmission between the rule reasoning language and system main program.Based on the requirements of the system,the overall structure of the system,functional module,database table and system operation interface are designed.