Development Of Safety Detection Technology For LTE-M Wireless Train Dispatching System

Wireless train dispatching system mainly undertakes the important tasks of train operation command and emergency communication for disaster prevention,aiming to provide a safe and reliable communication environment for train dispatching.For technical reasons,traditional TETRA systems can only satisfy the daily operation of voice cluster dispatching services.Compared with TETRA system,B-Trun C system based on LTE technology has larger bandwidth,can guarantee basic dispatching functions such as voice,and can further meet the emerging dispatching business needs such as high-quality video transmission.This paper mainly studies the acquisition of business data flow and signaling flow of key ports of LTE-M Metro wireless train dispatching system,and then combines the current and future particularities of LTE-M and metro industry to determine whether the analysis of wireless communication environment and signaling flow meets the safety standards and specifications of Metro wireless dispatching system.The signaling protocol detection software and the multi-system fused wireless communication detection system are designed and developed.They complement each other,monitor and analyze the various indicators of signaling flow and wireless communication environment,and verify through the actual scene.This paper presents a relative distance routing method to get the location information of the faulty equipment,and uses context logic judgment method and convolution neural network fault prediction to analyze the safety of the wireless train dispatching system.The following are the main contents of this paper:1.The function architecture design and implementation of the core network interface signaling protocol detection software and air interface wireless communication detection system are described.In terms of software,Wireshark is combined with open source code for secondary development,and three layers of architecture are adopted: data access layer,business logic layer and interface display layer.In terms of system,‘Asp.net core + My SQL + IIS’ is used to build the technical basis of the system platform,and the MVC design pattern of View,Model and Control is adopted for design.2.Technical development of software and system safety detection module.At the signaling detection level of core network,a pre-context logic judgment method based on high-density and high-capacity signaling test is designed to effectively solve the specific delay requirements that are mixed in the pre-context or post-context of signaling,or encrypt the retrieved target signaling.In the air port wireless communication detection level,based on the large data of historical detection,the wireless communication quality is evaluated to improve the success rate of scheduling information transmission.A relative distance routing method is used to obtain the location information of the faulty device.The service and signaling data of air interface are used as input data,the number of alarms and the cause of failure are used as output,and the convolution neural network is used to train continuously.Finally,it achieves the effect of assistant analysis of the cause of failure alarm and ensures the safety of dispatch operation.3.Verification of the main functions of the core network interface signaling protocol detection software and air interface wireless communication detection system.In Shanghai Shen tong Zhang jiang Laboratory,the heartbeat information is detected by using the core network interface signaling protocol detection software,and the function of the software is verified.On Shanghai Metro Line 11,LTE-M and TETRA data were tested online using the air interface wireless communication detection system,and finally passed the functional test.It is proved that the core network interface signaling protocol detection software and air interface wireless communication detection system have reached the applied standards.