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Rail transit fault diagnosis method and system based on decision-making tree

A technology for rail transit and fault diagnosis, applied in the fields of information technology and rail transit, can solve problems such as low efficiency, heavy workload, and high risk, and achieve the effects of improving efficiency and accuracy, strong adaptability, and simple knowledge representation

Pending Publication Date: 2014-04-09
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 heavy workload, low efficiency and high risk in manual diagnosis of railway signal system faults in the prior art, the present invention provides a rail transit fault diagnosis method and system based on a decision tree

Method used

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  • Rail transit fault diagnosis method and system based on decision-making tree
  • Rail transit fault diagnosis method and system based on decision-making tree
  • Rail transit fault diagnosis method and system based on decision-making tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Example 1: Device-level fault diagnosis

[0054] For equipment-level fault diagnosis, the data analysis method of this scheme is deployed on equipment monitoring workstations or portable workstations. The historical data and real-time data of the equipment are stored in the local database of the equipment monitoring workstation or portable workstation. image 3 and Figure 4 They are the structural block diagrams of the data analysis workstation and the portable data analysis workstation respectively. It can be integrated with the data acquisition equipment in one workstation, and transmit data through the data bus, or be distributed with the data acquisition equipment in different workstations, and transmit data through Ethernet. Data analysis is performed on the historical data in the database, and the obtained decision tree is stored in the local knowledge base as a fault diagnosis model. For the real-time data of the equipment collected, the fault diagnosis of th...

Embodiment 2

[0055] Example 2: Operation and maintenance level fault diagnosis

[0056] Operation and maintenance-level fault diagnosis deploys this solution on the equipment operation and maintenance platform, uses a database server to store data, and the data acquisition device stores the collected data to the database server through Ethernet. Obtain the historical data in the database server, perform data analysis, and store the obtained decision tree as a fault diagnosis model in the knowledge base of the equipment operation and maintenance platform. For the real-time data of the equipment collected, the data analysis server completes the fault diagnosis of the equipment by calling the decision tree in the knowledge base, and evaluates and modifies the decision tree in the knowledge base according to the result of the fault diagnosis. Figure 5 It is a structural block diagram of data analysis at the operation and maintenance level.

[0057] Take the fault diagnosis of ZPW-2000A non-i...

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Abstract

The invention relates to a rail transit fault diagnosis method and system based on a decision-making tree. The method includes the steps of firstly, determining various fault modes and various monitoring quantities of a rail transit device by analyzing a circuit and a mechanical structure model of the rail transit device; secondly, obtaining standard fault sample data according to various historical monitoring quantities of the rail transit device, then, analyzing the standard fault sample data through the decision-making tree generating algorithm, and conducting construction to obtain the decision-making tree of a fault; thirdly, collecting the various real-time monitoring quantities of the rail transit device, taking the decision-making tree as a classification model of the fault modes to conduct classification, and thereby determining the type of the fault. The system comprises a data collection device, a database unit, a data analysis unit and a knowledge base unit. The method and the device solve the technical problems that in the prior art, when the rail signal system fault is manually diagnosed, workloads are large, efficiency is low and the risks are high, and efficiency and accuracy of rail transit data analysis and fault diagnosis are improved.

Description

technical field [0001] The invention belongs to the technical fields of information technology and rail transit, and in particular relates to a method and system for rail transit fault diagnosis based on a decision tree. 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 have adopted computer monitoring system to realize the real-time monitoring of the signal equipment status of the station, and by monitoring and recording the ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
Inventor 鲍侠
Owner BEIJING TAILEDE INFORMATION TECH
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