CBTC signal system DCS fault diagnosis and early warning analysis method

A technology of fault diagnosis and early warning analysis, applied in the direction of electrical testing/monitoring, etc., can solve problems such as low maintenance efficiency, lack of maintenance, lack of system equipment, and fault correlation analysis between systems, so as to reduce line operation risks and maintenance manpower , the effect of compression fault delay

Active Publication Date: 2018-06-12
CASCO SIGNAL
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, for the DCS vehicle-ground wireless communication part of the CBTC signal system, manual timing monitoring and manual analysis are mainly used, and 7*24 hours of uninterrupted monitoring, automatic analysis and early warning cannot be realized; DCS wired network monitoring and maintenance mainly adopts general-purpose network management Software-based, DCS equipment status monitoring and fault judgment are mainly based on single equipment, lack of correlation analysis between system equipment and faults between systems, intelligent diagnosis and positioning of faults have not been realized; effective early warning analysis mechanism has not been realized, and user Early warning analysis of abnormal fluctuations and mutations of key monitoring parameters such as DCS equipment performance and flow rate; lack of effective fault impact range analysis and fault emergency treatment guidance, which is not conducive to users' rapid repair of faults
Generally speaking, the current maintenance of CBTC signal system DCS lacks scientific guidance and strong technical support, and the maintenance efficiency is not high. It is impossible to realize "preventive repair" and "status repair" of system maintenance, and it is impossible to find hidden troubles and locate faults in time. It is not conducive to the safe operation of urban rail transit

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • CBTC signal system DCS fault diagnosis and early warning analysis method
  • CBTC signal system DCS fault diagnosis and early warning analysis method
  • CBTC signal system DCS fault diagnosis and early warning analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0025] The CBTC signal system DCS fault diagnosis and early warning analysis method of the present invention, the method comprises: according to the train operation plan, dynamically enabling the train to realize the real-time monitoring and early warning analysis of the wireless field strength of the train and ground; the correlation analysis of the DCS indoor and outdoor network equipment status; based on Pre-warning of abnormal fluctuations, sudden chang...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a CBTC signal system DCS fault diagnosis and early warning analysis method. The method comprises the steps that (1) real-time monitoring and automatic analysis of train-groundwireless field strength are carried out, and a wireless field strength monitoring train is dynamically selected and enabled according to a train operation plan; (2) wireless field strength monitoringand indoor and outdoor equipment status are combined to carry out DCS equipment fault diagnosis and early warning to accurately locate the fault location and causes; (3) based on long-term wireless field strength analog monitoring information, wireless field strength long-term trend tracking and trend early warning are realized; (4) capturing analysis and over-limit grading early warning are carried out on abnormal fluctuations and abrupt changes of DCS equipment performance and key operating parameters; and (5) maintenance suggestions and handling instructions based on a fault schematic diagram are provided for each type of DCS fault and early warning. Compared with the prior art, the method provided by the invention has the advantages of real-time automatic monitoring and analysis of DCS train-ground wireless field strength and the like.

Description

technical field [0001] The present invention relates to the fault analysis technology of urban rail transit CBTC signal system, in particular to a kind of urban rail transit CBTC (Communication Based Train Control, train control system based on communication) signal system DCS (Data Communication System, data communication system) fault diagnosis and Early warning analysis method. Background technique [0002] At present, for the DCS vehicle-to-ground wireless communication part of the CBTC signal system, manual timing monitoring and manual analysis are mainly used, and 7*24 hours of uninterrupted monitoring, automatic analysis and early warning cannot be realized; DCS wired network monitoring and maintenance mainly adopts general-purpose network management Software-based, DCS equipment status monitoring and fault judgment are mainly based on single equipment, lack of correlation analysis between system equipment and faults between systems, and intelligent diagnosis and posi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G05B23/02
Inventor 裴加富胡恩华徐贲涂鹏飞魏盛昕杨向波林立华晟
Owner CASCO SIGNAL
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products