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Water injection port cover plate loss detection method based on deep learning

A loss detection and deep learning technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as low efficiency, affecting vehicle driving safety, fault omission, etc., to improve accuracy and speed, improve detection efficiency, and work quality. improved effect

Active Publication Date: 2021-04-02
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Since the current fault detection method of trains is still mainly based on manual viewing of images or on-site inspections, this method is inefficient, and it is easy to cause fault omissions, false detections, etc., and affect the safety of vehicles.

Method used

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  • Water injection port cover plate loss detection method based on deep learning
  • Water injection port cover plate loss detection method based on deep learning
  • Water injection port cover plate loss detection method based on deep learning

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Embodiment Construction

[0037] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0038] A method for detecting loss of a water injection port cover plate based on deep learning according to an embodiment of the present invention will be described below with reference to the accompanying drawings.

[0039] It should be noted that, in the case of no conflict, the various embodiments disclosed in the present application or the features included in the embodiments can be combined with each other.

[0040] figure 1 It is a flowchart of a method for detecting loss of a water injection port cover plate based on dee...

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Abstract

The invention discloses a water injection port cover plate loss detection method based on deep learning, and solves the problems that the existing manual detection efficiency is low, and fault omission, false detection and the like are easily caused. The method comprises the following steps: establishing an image training set of a water injection port cover plate; obtaining a target convolutionalneural network model, wherein the target convolutional neural network model comprises an improved correction linear unit activation function; training a target convolutional neural network model through the image training set to obtain a trained target convolutional neural network model, the trained target convolutional neural network model comprising an optimal parameter weight; detecting whetherthe water injection port cover plate of the to-be-detected image is lost or not by utilizing the trained target convolutional neural network model, and sending an alarm signal if so. According to themethod, manual detection is replaced by automatic fault alarm, the detection efficiency and accuracy are improved, the method is not influenced by physiology and psychology of personnel, and the operation quality is greatly improved.

Description

technical field [0001] The invention relates to the technical field of train fault detection, in particular to a method for detecting loss of a water injection port cover plate based on deep learning. Background technique [0002] Since the current fault detection method of trains is still mainly based on manual image viewing or on-site inspection, this method is inefficient, and it is easy to cause fault omissions, false detections, etc., and affect the safety of vehicles. [0003] Therefore, automatic fault identification technology is of great significance in train detection, and a fault detection method that can realize automatic fault alarm and improve train operation efficiency is urgently needed. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. [0005] For this reason, the object of the present invention is to propose a method for detecting the loss of the water in...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0008G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30248
Inventor 张庆宇
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD