Research And Implementation Of Remote Intelligent Monitoring And Fault Handling Methods For Full Electronic Interlocking

Computer interlocking system is the core technical equipment in the railway signal field to ensure travelling safety and improve transportation efficiency.With the development of railway science and technology,full electronic computer interlocking(ECI)system has become a main development direction of computer interlocking system.Not only the high reliability and safety design of the system,but also the real-time,rationality and efficiency of system maintenance are also the key factors that directly affect the operation efficiency and travelling safety in order to meet the application requirements of ECI system.This thesis designs an remote intelligent monitoring system for the ECI system.According to the scheme of the system,the fault handling methods of the electronic control module of the ECI system is proposed.The functional integrity,system availability and practicability of the algorithm model of the ECI remote monitoring system and the fault handling methods are analyzed and verified.The main research of this thesis are as follows:1.Aiming at the shortcomings of low real-time,low efficiency and weak intelligence in fault alarm analysis of ECI system in railway operation and maintenance,a remote intelligent monitoring system for full electronic interlocking using NB-Io T is designed based on the in-depth analysis of the structure and interface of ECI system.Through the comparison and analysis of various remote communication modes,the communication strategy of NB-Io T for ECI remote intelligent monitoring system is optimized.On this basis,the system architecture,hardware design and software modularization design of ECI remote intelligent monitoring system are elaborated in detail.Then,a lightweight data encryption algorithm is proposed to deal with the risks of information theft and forgery that may occur in the process of information remote transmission in the full electronic interlocking remote intelligent monitoring system.2.Based on the operation data of ECI system acquired and transmitted by full electronic interlocking remote intelligent monitoring system,the failure modes of electronic control module of ECI system are thoroughly sorted out and analyzed,and the corresponding handling methods are summarized.On this basis,the fault handling methods model of electronic control module is constructed by using CART and XGBoost algorithms.By studying the theory of the algorithm and parameter allocation,combining with the method of random forest bag estimation optimized the model,which further improves the accuracy of the fault handling methods model.The simulation results show that the fault handling methods model of the electronic control module have a high accuracy.3.The software and hardware design scheme of the telecommunication unit,cloud server management unit and user-side of the ECI remote intelligent monitoring system are implemented.The correctness and validity of each function of the system and the software module of the fault handling methods model of the user-side electronic control module are verified by the field test at the station.