A monitoring method for slag discharge of roadheader based on machine vision

Abstract

The invention discloses a machine vision-based slag monitoring method of a roadheader, which comprises: monitoring steps of surrounding rock slag breaking degree monitoring, conveyor belt load monitoring steps and surrounding rock classification monitoring steps; The maximum size, minimum size and average size are counted to provide the ability to crush surrounding rock under the current excavation conditions; the conveyor belt load monitoring step evaluates the current load of the belt conveyor by detecting the depth of the slag occupying the entire belt conveyor; surrounding rock classification monitoring The step is to judge the status of the surrounding rock of the current excavation through the surface characteristics of the slag. The invention uses the method of machine vision to improve the efficiency and accuracy of slag discharge monitoring, avoids problems such as inaccurate monitoring caused by bad changing environment, and can also reduce labor costs at the same time.

Description

technical field [0001] The invention relates to the technical field of machine vision applications, in particular to a machine vision-based slag discharge monitoring method for roadheaders. Background technique [0002] The 21st century is an era of informatization, and the realization of modern production and informatization management requires continuous innovation in production methods. The application technology of roadheaders should keep pace with the times and strengthen automation management to meet the requirements of informatization construction. However, the current roadheader detection system is based on various sensors, which realize data reception and analysis through wireless devices or a roadheader status monitoring system based on virtual instruments; in harsh environments, sensors will be affected by environmental factors, resulting in acquisition Problems such as inaccurate data or equipment damage are not conducive to real-time, accurate and stable monito...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, to provide a machine vision-based monitoring method for slag discharge, to improve the efficiency and accuracy of slag discharge monitoring by using machine vision, and to avoid monitoring caused by harsh changing environments Inaccurate and other issues, but also can reduce labor costs

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