Rail transit vehicle health diagnosis method and device

Abstract

The invention provides a rail transit vehicle health diagnosis method and device, and the method comprises the steps: collecting the full-life-cycle data of a rail transit vehicle based on a workshop service system, and carrying out the preprocessing, and forming a tag data set; constructing a digital twinborn health analysis model by using an adaptive ant lion strategy and a virtual modeling technology, and inputting the label data set into the data twinborn model for training; judging a training result according to a Bayesian judgment principle, and if the Bayesian judgment principle is met, outputting a model as a vehicle digital twin health diagnosis model; and inputting to-be-diagnosed rail transit vehicle data into the vehicle digital twinborn health diagnosis model in real time for health diagnosis, and calculating and outputting final diagnosis data. According to the method, the health state of the rail transit vehicle can be accurately analyzed in real time, operation decision information is provided for a user, traffic accidents caused by vehicle health are avoided, social threat is reduced, and the safety of passengers and drivers is guaranteed.

Description

technical field [0001] The invention relates to the fields of digital twin signal processing technology and Internet technology, in particular to a method and device suitable for rail transit vehicle health diagnosis. Background technique [0002] With the development of society and economy, urbanization has become an important trend in the development of the world today. In the process of urbanization, cities of different scales and stages of development have different traffic needs, which require corresponding traffic technology levels and transportation From the perspective of the development practice of many international metropolises, rail transit has become an indispensable part of the urban traffic structure due to its technical advantages of large capacity and fast speed. The contradiction between supply and demand in urban transportation is increasing day by day, and meets the requirements of urbanization. With the deepening of urbanization, urban rail transit has b...

AI Technical Summary

Problems solved by technology

[0003] Existing technology can only rely on historical vehicle data for simple parameter analysis, and the results obtained are too rough, resulting in excessive errors. With the development of the new generation of information technology, the application of digital twin technology is not very mature, so in the fusion There are also large deviations in the use process. In order to better protect urban development and user safety, accurate analysis of the health status of rail transit vehicles is a major problem that needs to be solved urgently.

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