The Research On Safety Risk Identification Of Traffic Tunnel Construction Based On Scenario Matching

As the premise of quality and benefit,safety is an important indicator for building a harmonious society.In the field of tunnel construction safety,risk identification is the basis for risk prevention and control.However,at present,the research method of tunnel construction risk identification still remains in the simple application of theory,and it is difficult to ensure the comprehensiveness and rationality of risk identification,which is not conducive to the visualization of safety risk knowledge and the excavation and sharing of safety risk knowledge.Realizing risk data sharing and scientifically identifying risks are important contents in the field of tunnel construction safety risk research,and it is necessary to explore relevant guidance theoretical models and system analysis methods.Based on the research of traffic tunnel construction safety risk and scenario analysis,this paper proposed a traffic tunnel construction safety risk identification method based on scenario matching.Traffic tunnel construction accident reports were collected through web crawlers,based on TF-IDF algorithm to extract high-frequency feature entries,constructed a"dimension-element-attribute" traffic tunnel construction safety risk scenario representation model and the "EBNF" representation structure of the scenario library.On the basis of expert scoring,combined with cloud model to realize the gradual optimization of the weight of scenario elements.Attribute similarity calculation methods were proposed for four attribute types:text type,numeric type,enumerated type,and fuzzy type.In order to reduce the impact caused by the lack of attributes,a comprehensive similarity calculation method combining structural similarity and scenario attribute similarity is proposed.It got the completion of scenario matching with comprehensive similarity,effective filtering of matching results by setting thresholds,and conduct risk analysis on matching results for different stages before,during,and after the event.Through case studies,the method proposed in this paper is verified to be feasible,three suggestions were put forward as follows:strengthen safety training,improve risk prevention awareness;strengthen risk monitoring,improve risk management and control system;establish risk data,and promote risk information sharing.This article took the safety risk of traffic tunnel construction as the research object.In the basis of data from tunnel construction accident cases,text mining resulted to extract scenario elements,and standardized representation models of risk scenarios and scenario libraries,relevant explorations were made to promote the sharing of security risk information in the field of tunnels.Through the matching of the current risk scenario with the scenario database scenario,the identification of risks will be enriched,and the research on the identification methods of traffic tunnel construction risks will be enriched to realize its theoretical innovation.It can be a reference for the identification and prevention of traffic tunnel construction risks.