CBTC信号系统智能化故障分析

传感器、摄像扫描、温度感知、电压电流模块等技术发展已日臻成熟,后续若运用至信号系统中,可全面、准确地采集信号状态感知层数据;云储存、大数据的高速发展,已具备针对每天数万亿数据元的信息传输及存储处理能力。信号系统日志能详细记录设备运行中硬件、软件等信息,结合系统日志的时间维度、密度和种类特征、空间维度和时序特征及设备报警等级,论证信号系统智能化分析的可行性和必要性,阐述信号智能化维护系统模型及后续模型搭建的要点及注意事项。

Intelligent Fault Analysis of CBTC Signal System

The development of sensors, camera scanning, temperature sensing, voltage and current sampling modules, and other technologies have matured. We can comprehensively and accurately collect the signal state data of the sensing layer if the technologies are used in a signal system. With the rapid development of cloud platforms and big data, technologies have realized information transmission, storage, and processing for trillions of data elements per day. The signal system logs record working status of the hardware and software in the equipment in detail. Based on the time dimension, density, type, space dimension, and time sequence characteristics of the system logs and the alarm level of the equipment, this paper demonstrates the feasibility and necessity of signal system intelligent analysis. Additionally, the key points and precautions of the signal intelligent maintenance system model and the subsequent model construction are described.