Fault detection method and device for vehicle-mounted mobile station

Abstract

The embodiment of the invention discloses a fault detection method and device for a vehicle-mounted mobile station. The method comprises the steps of collecting big data of the vehicle-mounted mobilestation; wherein the big data comprises measurement report data of an Abis interface of the GSM-R wireless network, A interface switching signaling data and AT command data of an Igsm-r interface; establishing an association relationship between preset fault detection parameters and train parameters according to the big data, and obtaining one or more association data sets; and performing corresponding fault detection calculation according to the different fault detection parameters and the corresponding associated data set, and determining whether the vehicle-mounted mobile station has a fault according to a calculation result. According to the scheme of the embodiment, big data is introduced into the field of railway communication signals, the current railway maintenance level is improved from manual fault discovery and manual fault analysis to the level of automatic fault discovery and automatic fault analysis, the purpose of prevention against accidents is achieved, and the fault processing efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to train control technology, in particular to a fault detection method and device for a vehicle-mounted mobile station. Background technique [0002] With the rapid development of big data technology and artificial intelligence technology, more and more related applications have been fully applied in the Internet field, but due to some factors, these advanced technologies have not been fully utilized in the traditional technology field . For example, the current level of railway maintenance is still at the level of manually finding and analyzing faults, which makes most faults not found and dealt with in time, and it is even more difficult to predict faults in advance and prevent problems before they happen. [0003] Therefore, it is urgent to introduce advanced technology into the field of railway fault handling, improve the maintenance level of railway communication signals, and prevent problems before the...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of big data technology and artificial intelligence technology, more and more related applications have been fully applied in the Internet field, but due to some factors, these advanced technologies have not been fully utilized in the traditional technology field

For example, the current level of railway maintenance is still at the level of manually finding and analyzing faults, which makes most faults not found and dealt with in time, and it is even more difficult to predict faults in advance and prevent problems before they happen

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