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Train door fault prediction and health management system

A health management system and fault prediction technology, applied in electrical testing/monitoring, etc., can solve problems such as passenger inconvenience, impact on train reliability, impact on operation, etc., and achieve the effect of reducing the amount of data collection

Inactive Publication Date: 2019-05-28
BEIJING BODE TRANSPORTATION EQUIP
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  • Description
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AI Technical Summary

Problems solved by technology

As one of the key subsystems of the train, the failure of the door system will seriously affect the reliability of the train operation. Especially for the subway, the failure of the door will not only cause inconvenience to passengers, affect operation, but also cause great negative social impact in serious cases

Method used

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  • Train door fault prediction and health management system
  • Train door fault prediction and health management system
  • Train door fault prediction and health management system

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Embodiment Construction

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] A train door failure prediction system and health management system of the present invention, such as figure 1 shown, including the following steps:

[0030] S1. Pre-verification process: establish a door image model and inject original data, and continuously correct key parameters in the image model through system identification means;

[0031] S2. Deployment reasoning process: Use big data to analyze and pre-verify door system fault diagnosis, prediction, and door component life evaluation, and deploy the verified algorithm to the background to form the core of the operation monitoring and intelligent operation and maintenance module.

[0032] In step S1, the pre-verification process generates and establishes a door image model. The image model is a twin of the door system in the digital space, which is equivalent to mapping the actual door system t...

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Abstract

The invention discloses a train door fault prediction and health management system. The system involves the following steps of S1, a pre-verification process, wherein a door mirror model is established, original data is injected, and key parameters in the mirror model are continuously corrected by means of system identification; S2, an arrangement and inference process, wherein big data is used for analyzing and pre-verifying door system fault diagnosis, prediction and door component life assessment, and verified algorithms are deployed to a background to form the core of an operation monitoring and intelligent operation and maintenance module. The train door fault prediction and health management system adopts actual data and virtual data for calibrating the mirror model to obtain the digital form of an actual real train door system, uses the big data for operation, simulates many faults which cannot be implemented on a train or an experimental bench, perfects the mirror model, and achieves the pre-verification of the algorithms for providing a basis for the fault prediction and health management.

Description

technical field [0001] The invention relates to the technical field of train door control, in particular to a train door failure prediction system and health management system. Background technique [0002] With the implementation of my country's "13th Five-Year Plan" and the "Made in China 2025" strategy, the rail industry is undergoing profound and rapid intelligent changes. At the same time, my country's railway vehicles are also facing imminent advanced repairs, which will put huge pressure on future operation and maintenance to reduce costs; in addition, with the enhancement of public safety awareness, the safety, reliability, and Operational efficiency and customer satisfaction are also facing huge challenges, especially since the introduction of the unmanned train strategy, the industry's demand for intelligent rail systems has become increasingly strong. As one of the key subsystems of the train, the failure of the door system will seriously affect the reliability of...

Claims

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Application Information

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IPC IPC(8): G05B23/02
Inventor 陈辉郭凯波刘佰阳宋文军
Owner BEIJING BODE TRANSPORTATION EQUIP
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