Method and system for track traffic failure recognition based on improved Bayesian algorithm

A fault identification, rail transit technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as high risk, heavy workload, low efficiency, etc., to improve operation and maintenance capabilities and improve accuracy. , the effect of speeding up

Active Publication Date: 2014-04-02
BEIJING TAILEDE INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problems of large workload, low efficiency and high risk in the manual diagnosis of railway signal system fault

Method used

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  • Method and system for track traffic failure recognition based on improved Bayesian algorithm
  • Method and system for track traffic failure recognition based on improved Bayesian algorithm
  • Method and system for track traffic failure recognition based on improved Bayesian algorithm

Examples

Experimental program
Comparison scheme
Effect test

example

[0073] Example data bits:

[0074] 01:25.02:25.03:25.0

[0075] 01:25.02:25.03:25.0

[0076] 01:25.02:25.03:25.0

[0077] 41:30.02:25.03:25.0

[0078] 41:30.02:35.03:20.0

[0079] 11:0.02:0.03:0.0

[0080] 21:0.02:25.03:25.0

[0081] 31:0.02:50.03:25.0

[0082] 31:15.02:50.03:25.0

[0083] 11:0.02:0.03:0.0

[0084] 11:0.02:0.03:0.0

[0085] The first column of numbers represents the type of failure:

[0086] 0 means no failure

[0087] 1 means the fault is indoors

[0088] 2 indicates that the fault is outdoors

[0089] 3 means indoor short circuit

[0090] 4 means indoor open circuit

[0091] Example of device-level fault diagnosis

[0092] Equipment-level fault diagnosis The data analysis method of this scheme can be deployed on a dedicated data analysis server, or it can be deployed on an equipment monitoring workstation like the equipment collection component. When the data is deployed on the data analysis server, it is similar to the processing flow of the e...

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Abstract

The invention discloses a method and a system for track traffic failure recognition based on improved Bayesian algorithm. The method comprises the following steps of: 1) determining various failure modes and corresponding monitoring values of each traffic device according to circuit structure of the traffic device, and building a failure model aiming at each failure mode and corresponding monitoring value; 2) recognizing a parent child relation among the monitoring data according to the failure model, thus obtaining a standard failure sample data; 3) training with the standard failure sample data through a Bayesian algorithm to obtain a failure recognition model, wherein weight of a parent node in the failure recognition model of each failure mode is greater than that of a child node; 4) monitoring and acquiring various monitoring values of the traffic device in real time, and recording time sequence of the monitoring values; 5) recognizing data through the failure recognition model, and determining corresponding failure. By the method and the system, accuracy of failure recognition is improved, failure repair time is reduced, the device can perform failure self-diagnosis, and traffic safety is guaranteed in the operation and maintenance aspect and the device aspect.

Description

technical field [0001] The invention provides a rail transit fault identification method and system improvement based on improved Bayesian, and relates to technical fields such as railway signal data, railway communication data, railway knowledge data, system alarm data, machine learning, Bayesian, etc., to solve Problems faced by data analysis of rail transit monitoring data. Background technique [0002] At present, there are three main types of monitoring and maintenance products in the field of rail transit (state-owned railways, enterprise railways and urban rail transit): CSM (Centralized Signal Monitoring System), various equipment maintenance machines, and communication network management systems. In order to improve the modern maintenance level of my country's railway signal system equipment, since the 1990s, TJWX-I and TJWX-2000 have been independently developed and continuously upgraded signal centralized monitoring CSM systems. At present, most of the stations h...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F2218/00G06F18/24155
Inventor 鲍侠
Owner BEIJING TAILEDE INFORMATION TECH
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