Research On Risk Early Warning Of Heavy Truck Road Transportation Based On Rule Reasoning Fusion Algorithms

In recent years,China's logistics industry has developed rapidly,with automobile logistics occupying the leading position.In the automobile logistics industry,heavy trucks are the main mode of transportation.In recent years,road transportation accidents occur frequently,and the early warning and monitoring of road transportation safety for heavy trucks has also become an important issue of national concern.In response to the above requirements,based on the project of " Fuyang Heavy Truck Safety Monitoring",the paper puts forward the corresponding algorithm on the safety early warning of heavy truck roads and implements and designs the dangerous early warning system for heavy truck road transportation.Through data mining and related computer technology,the informatization operation of vehicle logistics is realized,and the safety transportation level of vehicle logistics is improved.Aiming at the problems of data analysis and prediction of the current heavy truck road transport danger warning system,data mining technology is used in the system,under the steps of the data mining process,Apriori algorithm in association rules can be used to calculate the association degree between the conditions affecting the dangerous situation of heavy truck road transport aiming at the relevant conditions occurring in heavy truck road transport danger warning,after obtaining the association conditions affecting the dangerous situation of heavy truck road transport,After preprocessing the data,the output of the BP neural network is used as the basic distribution function value of the D-S evidence theory by autonomous learning of the BP neural network,thus obtaining the basic probability distribution function(BPA)of the D-S theory on the collected data.Then the data processed by the basic probability function are fused by Dempster synthesis rules,and finally the final prediction result is obtained by the decision rules of the D-S evidence theory.Furthermore,it can reduce the risk of heavy trucks in the process of road driving and ensure the life safety of drivers,so as to improve the safe transportation efficiency under the information of vehicle logistics.According to the specific characteristics and actual requirements of the heavy truck road transport hazard warning system,the functional requirements and non-functional requirements of the system are analyzed,and the overall framework structure of the heavy truck road transport hazard warning system is obtained.Based on the B/S development mode and SSM framework,J2EE-based programming language is used to write the page prototype,and the static page of the system is designed.According to the requirements,the relevant database and data table structure of the system are designed at the same time,and finally the functions of tire temperature monitoring analysis,tire pressure monitoring analysis,axle temperature monitoring analysis and comprehensive data analysis of the system are realized.Figure 27 table 24 reference 51.