Method and system for detecting faults of high-speed railway signal system

Abstract

The embodiment of the invention discloses a method and system for detecting the faults of a high-speed railway signal system. The method for detecting the faults of a high-speed railway signal system comprises steps of: determining testing nodes and tested nodes; instructing each testing node to send testing tasks to the tested nodes and to record testing responses fed back from the tested nodes; counting the testing responses received by the testing nodes and forming a fault characteristic matrix; and analyzing the fault characteristic matrix by using an artificial immune algorithm in order to position a current fault node in the high-speed railway signal system.

Description

technical field [0001] The invention belongs to the technical field of safety control and monitoring of high-speed railway signaling systems, and in particular relates to a fault detection method and system for high-speed railway signaling systems. Background technique [0002] High-speed train rear-end collisions and aggressive accidents occur frequently, one of the reasons is that the high-speed rail signaling system fails to quickly and accurately diagnose and locate faults. At present, the signal system is the integration of various signal equipment and subsystems and their auxiliary equipment. It focuses on the interface technology between different equipment or subsystems, and the interconnection of signal equipment from different signal manufacturers when forming a system. Mutual testing and verification between systems. The problems of signal system fault detection are as follows: [0003] (1) Fault detection and location are concentrated on a certain equipment or ...

AI Technical Summary

Problems solved by technology

Various maintenance management terminals supporting signal equipment mainly consider the status and fault detection of the equipment, and have a single function

However, the signal system is an interconnected system with high data interaction characteristics. The failure of a certain device or equipment is likely to affect other connected equipment. However, the current fault detection at the device and equipment level cannot be done from the perspective of the system as a whole. Fully consider the connection and influence between signal systems. Once the fault is not located or handled in time, it is easy to expand the fault and cause very serious consequences.

[0004] (2) The intelligence of fault detection is not high

Although the existing signal system stores a large amount of historical detection data and fault data, overall, it lacks data mining and reuse, especially the analysis of fault data

Most fault detection and positioning rely on manual judgment, which is inefficient and cannot comprehensively utilize various information to realize intelligent fault detection with flexible diagnosis strategies

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