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Conveyor belt longitudinal damage vibration sensing method based on infrared computer vision

A technology of computer vision and conveyor belts, applied in computer parts, calculation, neural learning methods, etc., can solve the problems of easy interference of mathematical models, semi-contact, poor practicability, etc.

Active Publication Date: 2021-07-06
TAIYUAN UNIV OF TECH
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  • Abstract
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Problems solved by technology

[0007] The above-mentioned model substitution method is easily affected by the noise of the environment, equipment components, personnel, etc., which leads to the problem of "easy to interfere, poor practicability, and semi-contact" in the mathematical model established between the two

Method used

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  • Conveyor belt longitudinal damage vibration sensing method based on infrared computer vision
  • Conveyor belt longitudinal damage vibration sensing method based on infrared computer vision
  • Conveyor belt longitudinal damage vibration sensing method based on infrared computer vision

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Embodiment Construction

[0029] Such as Figure 1 to Figure 7 Shown, the present invention a kind of conveyer belt longitudinal damage vibration perception method based on infrared computer vision, comprises the following steps:

[0030] Step 1: Build an image data set: set up a high-speed camera above the mine conveyor belt to collect tiny vibration images of the conveyor belt in the normal state, wear state, scratch state, and tear state, and store them on the tower server. The data set is used to initially train the convolutional neural network, and another part of the data set is used to further train the convolutional neural network;

[0031] Step 2: Use the convolutional neural network with variable convolution kernel to train and test the vibration frequency signals of the mining conveyor belt in the normal state, worn state, scratched state, and torn state respectively, and obtain the initially trained convolutional neural network. The internet;

[0032] Step 3: Apply the initially trained c...

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Abstract

The invention discloses a conveyor belt longitudinal damage vibration sensing method based on infrared computer vision, and belongs to the technical field of computer vision. The technical problem to be solved is to provide the improvement of the conveyor belt longitudinal damage vibration sensing method based on infrared computer vision. The method for solving the technical problems comprises the following steps: arranging a high-speed camera above a mining conveying belt to collect tiny vibration images of the conveying belt in the normal state, the abrasion state, the scratching state and the tearing state; respectively training and testing vibration frequency signals of the conveying belt by adopting a convolutional neural network of a variable convolution kernel to obtain a preliminarily trained convolutional neural network; obtaining a further trained convolutional neural network model through transfer learning; and inputting the acquired image data into the convolutional neural network model, and outputting a conveyor belt damage diagnosis result according to the mining conveyor belt longitudinal damage information corresponding to the amplitudes of different wavebands. The method is applied to damage judgment of the conveying belt.

Description

technical field [0001] The invention discloses a method for sensing vibration of longitudinal damage of conveyor belts based on infrared computer vision, and belongs to the technical field of sensing methods for longitudinal damage and vibration of conveyor belts based on infrared computer vision. Background technique [0002] In 2020, the average daily output of raw coal in my country is 11.35 million tons, and mining conveyor belts play a vital role in the efficient transportation of coal. In the process of transportation, the mining conveyor belt is prone to longitudinal wear and scratches, and will tear in the long run. Once it is torn, the economic cost caused cannot be underestimated. These longitudinal damages are mainly due to the fact that the raw coal contains ironware, wooden sticks and other sundries, which cause local damage to the belt body when it falls. When these sundries are stuck on the frame or idler rollers, the conveyor belt will be torn longitudinally...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F2218/08
Inventor 乔铁柱付杰阎高伟
Owner TAIYUAN UNIV OF TECH
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