Method and device for predicting stopping accuracy in precise stopping stage during ATO control

Abstract

The embodiment of the invention discloses a method and device for predicting stopping accuracy in the precise stopping stage during ATO control. The method comprises the steps that according to recorddata, corresponding to a first running process of a target train, in various sub-systems of a train control system, target record data of the precise stopping stage during ATO control is extracted; characteristic values of all characteristics in a characteristic element set corresponding to a running path are calculated through the target record data, and a first characteristic value combinationis obtained; the first characteristic value combination serves as an input parameter of a pre-trained prediction model, the stopping accuracy of the target train in the first running process is predicted through the prediction model. The prediction model is obtained through machine learning and training, automatic prediction of the stopping accuracy is achieved, and dependence on work experience is got rid of. The prediction model is obtained through training of a lot of training samples, and the prediction model has a reliable data foundation, so that the prediction result is high in interpretability and reliability.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of train operation safety, and in particular to a method and device for predicting parking accuracy in an accurate parking stage during ATO control. Background technique [0002] The parking accuracy in the precise parking stage of ATO controlled vehicles (abbreviated as ATO parking accuracy) is one of the important indicators of the operating efficiency of train automatic driving. When the train ATO stops, there may be situations where the stop is not accurate, or the bid is over or under bid, and all data will be recorded in the form of a message log. The general data management process is to first obtain the on-site message log data, extract and retain the required data, then convert or format the message log according to the pre-defined interface, and finally save the converted data to a table file , database or data warehouse and arranged in chronological order. Usually, in a...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the existing analysis of ATO parking accuracy by directly drawing a curve based on the screened data, which requires very familiarity with the business and high requirements for experience, which makes it difficult to find the cause of the problem, and often cannot be quickly found. Find out the real factors that affect the parking accuracy

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