Urban rail transit signal system risk point identification method and system

• Main Authors: LI MAN, YAN KAI, ZHANG ZILONG, LEE SEUNG-YE, WANG YANHUI
• Format: Patent
• Language: Chinese; English
• Published: 14.10.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an urban rail transit signal system risk point identification method and system, and belongs to the technical field of urban rail transit application and maintenance. Based on an urban rail transit signal system operation safety influence factor set and component nodes, an urban rail transit signal system safety feature network model is constructed, and text data and statistical data are combined to identify the risk point of an urban rail transit signal system. Acquiring urban rail signal system risk characteristic indexes; performing text extraction on the text data by using a hidden Markov model to obtain a text sequence; constructing an urban rail signal system risk point identification model on the basis of risk characteristic indexes in combination with the extracted text sequence; and identifying the urban rail signal system risk point based on the urban rail signal system risk point identification model. According to the method, urban rail signal system risk point identification