Big-data-based method for analyzing state-based maintenance of subway signal equipment

Abstract

The invention discloses a big-data-based method for analyzing the state-based maintenance of subway signal equipment. The method includes: an analysis processing device receives the operation state information, transmitted by each subsystem in a subway signal system, of each signal equipment in each subsystem in a preset time period and the maintenance record information, transmitted by a maintenance support system, of each signal equipment; the operation state information and the maintenance record information of all signal equipment are stored in a distributed manner; when the state-based maintenance of at least one signal equipment is analyzed, the operation state information and the maintenance record information of the signal equipment are searched from a HDFS according to the identification of the signal equipment; acquiring the fault probability of the signal equipment according to the searched operation state information, the searched maintenance record information and a preset formula. By the method, the use, maintenance and replacing of the signal equipment can be monitored, the fault rate of the signal equipment can be lowered effectively, and the safety operation of the signal equipment is guaranteed.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for analyzing the status of subway signal equipment based on big data. Background technique [0002] With the development of science and technology, various cities have also begun to open subways, but the maintenance support based on the subway signal system has always been only after the subway signal equipment fails, the maintenance support system can receive the alarm information, and repair or replace the alarm equipment. At this time, the maintenance stations of each signal system have already known the alarm information, and the maintenance support function seems to be of little value. And if the failure occurs during the operation of the subway, it will inevitably affect the normal operation of the subway, hinder the travel of citizens, cause financial and human consumption, and also affect the operation of other subway lines, causing some subway passengers to be ve...

AI Technical Summary

Problems solved by technology

[0002] With the development of science and technology, various cities have also begun to open subways, but the maintenance support based on the subway signal system has always been only after the subway signal equipment fails, the maintenance support system can receive the alarm information, and repair or replace the alarm equipment. At this time, the maintenance stations of each signal system have already known the alarm information, and the maintenance support function seems to be of little value

And if the failure occurs during the operation of the subway, it will inevitably affect the normal operation order of the subway, hinder the travel of citizens, cause financial and human consumption, and also affect the operation of other subway lines, causing some subway passengers to be very congested

[0003] The existing maintenance support system based on big data can only know the failure of the signal equipment after receiving the alarm data of each subsystem. A set of systematic solutions to statistically analyze the data of these signal systems, so as to realize fault warning and hidden danger investigation, and the occurrence and probability of faults cannot be predicted in advance

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