基于机器视觉的煤炭输送带异物检测

Yehui Xie, Sun Yu, Ziyang Huang
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引用次数: 1

摘要

由于其工作环境复杂,大多数煤矿采用带式输送机作为主要运输设备。但在运输过程中,由于长时间、高强度的操作,输送带极易被煤中掺杂的脉石、铁等异物损坏,造成不必要的损失。带式运输过程中的异物可以通过机器视觉进行有效识别。这对保证煤矿安全生产,提高运输效率,增加企业收入具有重要意义。
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Foreign matter detection of coal conveying belt based on machine vision
Because of its complex working environment, most coal mines take belt conveyor as the main transportation equipment. However, in the process of transportation, due to long-time and high-intensity operation, the belt is very easy to be damaged by gangue, iron and other foreign matters doped in coal, resulting in unnecessary losses. Foreign objects in the process of belt transportation can be effectively identified by machine vision. This is of great significance to ensure coal mine safety production, improve transportation efficiency and increase enterprise income.
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