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A machine vision-based material granularity on-line detection method

A technology of machine vision and detection method, which is applied in particle size analysis, instruments, analysis materials, etc., can solve the problems of large particle size measurement error and inaccurate image segmentation, and achieve the effect of eliminating particle size measurement error

Active Publication Date: 2019-04-09
山西镭谱光电科技有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to solve the technical problem of large particle size measurement error caused by inaccurate image segmentation in the current particle size analysis method based on machine vision

Method used

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  • A machine vision-based material granularity on-line detection method
  • A machine vision-based material granularity on-line detection method
  • A machine vision-based material granularity on-line detection method

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Embodiment Construction

[0022] Taking coal gangue on the conveyor belt as an example below, in conjunction with the accompanying drawings, the machine vision-based material particle size online detection technology and device of the present invention are further described as follows:

[0023] The on-site installation schematic diagram in the device of the present invention is as figure 2 , including industrial camera 7, ranging module 10, first time relay 1, second time relay 2, third time relay 3, fourth time relay 4, fifth time relay 5 (time controller), sprinkler 8 and the chassis 12 of the wiper 9 are suspended above the conveyor belt 14 by the bracket 13, and two 500W LED lighting lamps 6 are fixed on both sides of the bracket 13. The specific operation process is as follows: the first time relay 1 controls the LED light 6 to turn on; 5 seconds later, the second time relay 2 triggers the camera 7 to collect an image of the material on the conveyor belt 14; after another 5 seconds, the first tim...

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Abstract

The invention relates to the technical field of machine vision. The machine vision based material particle size online detection method comprises the steps that image information of material particleson a conveying belt is collected through a camera, distance information of the material particles on the conveying belt is collected through a distance measuring module, and a particle size distribution diagram of materials is obtained by conducting image analysis on the collected image information through a computer. According to the method, a particle segmentation algorithm based on convex hullanalysis is adopted, whether particles are under-segmented particles or not is judged by detecting the convexity rate of the particles, the under-segmented particles are subjected to secondary segmentation, sticky particles in an image are distinguished, and therefore algorithm design of real-time on-line detection of particle size distribution of materials on a conveying belt is achieved. A distance measuring module is further added, and measured distance values are substituted into a pixel calibration algorithm to eliminate particle size measurement errors caused by thickness changes of materials on a belt.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to the field of on-line detection of the particle size distribution of materials on a conveyor belt. Background technique [0002] In the industrial production of electric power, chemical industry, medicine, powder metallurgy, etc., the raw materials or products on the conveyor belt are granular materials composed of large and small particles. The particle size and distribution are one of its most important properties. The detection and control of the particle size of the material on the conveyor belt is It is an important link to ensure the technical indicators of industrial production. The traditional material particle size detection adopts the manual sieving method, the process is cumbersome and time-consuming, and the lagging measurement data cannot guide industrial production in time. The real-time online advantage of the image processing method based on machine vision ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/181G01N15/02
CPCG06T7/0004G06T7/12G06T7/181G01N15/0227G06T2207/30108G06T2207/20024G06T2207/10024
Inventor 张雷孙颖田志辉
Owner 山西镭谱光电科技有限公司
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