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Conveying belt tear detecting method based on FPGA

A detection method and technology for conveyor belts, which are applied to conveyors, conveyor objects, conveyor control devices, etc., can solve problems such as affecting the normal use of conveyor belts, unsatisfactory effects, and tedious installation. The effect of small size and low price of hardware

Inactive Publication Date: 2020-02-28
ANHUI UNIV OF SCI & TECH
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Problems solved by technology

If these damages are dealt with in time, many safety accidents can be avoided, but if they are not handled properly, it will seriously affect the normal use of the conveyor belt, and even cause a series of safety accidents
Some existing methods mainly use computer computing power to compare the detection pictures of the conveyor belt with the original damage pictures in the system, which not only requires a computer with strong computing power, but also needs to install a large number of sensors, which is cumbersome and expensive to install. The effect is not ideal

Method used

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  • Conveying belt tear detecting method based on FPGA
  • Conveying belt tear detecting method based on FPGA
  • Conveying belt tear detecting method based on FPGA

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Embodiment Construction

[0025] Such as figure 1 Shown, the process of the FPGA-based conveyor belt tear detection method is:

[0026] (1) Install OV5640 above the conveyor belt for long-term uninterrupted video recording of the conveyor belt, and then transmit it to the image acquisition module through the IIC bus;

[0027] (2) Through the Verilog HDL hardware description language programming, the logic circuit of FPGA realizes the real-time preprocessing of the received image data;

[0028] (2a) Take pictures frame by frame from the recorded conveyor belt video;

[0029] (2b) For the acquired picture, use f(i,j)=0.2989R(i,j)+0.5870G(i,j)+0.1140B(i,j) for grayscale transformation, where f(i,j ) represents the gray value, R(i,j) represents the red component value, G(i,j) represents the green component value, B(i,j) represents the blue component value;

[0030] (2c) Use g(i,j)=median{f(i-k,j-l)}, (k,l)∈H to perform median filtering on the grayscale transformed image, where (i,j) represents the origi...

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Abstract

The invention discloses a conveying belt tear detecting method based on FPGA. The method comprises the steps that real-time videos during operation of conveying belts are recorded; images are pretreated in the videos frame by frame; each frame of pictures are sent into a frame caching module in sequence; standard images and images to be detected are synchronously extracted from the frame caching module for a background difference algorithm; and the real-time tear detection of the conveying belts is realized through comparison of algorithm return values and thresholds. The method realizes real-time detection of tear damage through an OV5640 image sensor and a FPGA chip, prevents use of a high-performance computer and multiple sensors to greatly save the cost, and uses FPGA for the background difference algorithm to effectively improve the identification precision and to reduce the identification error rate.

Description

technical field [0001] The invention relates to a detection method for "tearing" of a conveyor belt based on an FPGA and using a background difference defect detection algorithm. Background technique [0002] Belt conveyor is the main equipment for bulk material transportation, and it is widely used in industrial fields such as mining, chemical industry, and grain production. The conveyor belt on the belt conveyor will inevitably encounter "tear" damage during operation. If these damages are dealt with in time, many safety accidents can be avoided, but if they are not handled properly, it will seriously affect the normal use of the conveyor belt, and even cause a series of safety accidents. Some existing methods mainly use computer computing power to compare the detection pictures of the conveyor belt with the original damage pictures in the system, which not only requires a computer with strong computing power, but also needs to install a large number of sensors, which is ...

Claims

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Application Information

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IPC IPC(8): B65G43/02
CPCB65G43/02B65G2203/0275B65G2203/042
Inventor 刘逸凡黄友锐韩涛
Owner ANHUI UNIV OF SCI & TECH
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