Motor train unit train running fault information detection method and system

A fault information and operation fault technology, applied in the control system of the transportation center, transportation and packaging, railway car body parts, etc., can solve the problems of high false alarm rate of fault information, high work intensity, large number of images, etc., and achieve improved Recognition ability, reduce work intensity, and ensure the effect of safe operation

Pending Publication Date: 2018-08-03
北京京天威科技发展有限公司
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Problems solved by technology

[0004] However, the current detection system has the problems of high false alarm rate of fault information and low accuracy rate. The operator still cannot get rid of the fate of manually detecting a large

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  • Motor train unit train running fault information detection method and system
  • Motor train unit train running fault information detection method and system
  • Motor train unit train running fault information detection method and system

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Embodiment Construction

[0035] The technical solution of the present invention will be further described below in conjunction with the embodiments and drawings.

[0036] The embodiment of the present invention provides a method for detecting train operation fault information of an EMU, such as figure 1 As shown, the method includes:

[0037] Step S1: Input a preset number of images of EMU trains of the same type and confirmed to have fault information into the deep learning framework, and train the images to obtain a fault recognition model;

[0038] Step S2, collecting the identity information and images of the trains of the EMU;

[0039] Step S3, according to the identity information and images of the EMU train, classify the images according to the rules of the same car and the same position;

[0040] Step S4: Input the image into a fault recognition model of the same type as the image, and determine whether the image contains fault information.

[0041] The traditional EMU train operation fault information d...

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Abstract

The embodiment of the invention discloses a motor train unit running fault information detection method and system. The method comprises the steps of inputting a preset number of images of the same type of motor train unit trains with fault information to a deep learning framework and training the images to obtain a fault recognition model; acquiring identity information and the images of the motor train unit trains; according to the identity information and the images of the motor train unit trains and the rule that the same trains are at the same position, classifying the images; inputting the images to the fault recognition model of the same type as the images and judging whether the images contain the fault information or not. The recognizability of images of the fault information is effectively improved, the false alarm rate is lowered, the accuracy is improved, image watching operating personnel can also get rid of the fate that a lot of image data is manually detected, the working intensity is lowered, the occurrence of missing detection is avoided, and the running safety of the motor train unit trains is guaranteed.

Description

Technical field [0001] The present invention relates to the technical field of train failure information detection, in particular to a method and system for detecting train operation failure information of an EMU. Background technique [0002] With the development of China's high-speed railways, there are more and more EMU trains. The detection of train operation fault information of EMUs is an important means to ensure the safety of EMU trains. The detection of train operation fault information of EMUs cannot rely on manual online detection, and can only use high-tech detection equipment to detect trains. [0003] The traditional EMU train operation fault information detection technology scheme mainly uses the railside equipment to collect the car body image of the running EMU train, transfer the image data to the data service device of the railside detection station, and use the image comparison on the identification service device The algorithm performs fault information identi...

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Application Information

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IPC IPC(8): B61L27/00
CPCB61L27/50B61L27/57
Inventor 赵俊彦任崇巍张闽东曾子诚王增韩宇
Owner 北京京天威科技发展有限公司
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