首页|基于图像识别的矿井带式输送机智能控制系统研究与设计

基于图像识别的矿井带式输送机智能控制系统研究与设计

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针对某煤矿现有带式输送机存在的皮带空转、能源浪费等问题,提出一种基于图像识别的煤流量监测带式输送机节能控制系统,并设计煤流量监测方案。通过现场试验,结果表明,煤流量监测控制系统的检测误差能够达到5%以内,而且电能消耗降低了 17。8%,实现了带式输送机经济运行、节能降耗的目标。
Research and Design of Intelligent Control System for Mine Belt Conveyor Based on Image Recognition
Aiming at the problems of belt idling and energy waste of the existing belt conveyor in a coal mine,an energy-saving control system for coal flow monitoring belt conveyor based on image recognition is proposed,and a coal flow monitoring scheme is designed.Through the field test,the results show that the coal flow detection error of the coal flow monitoring control system can reach within 5%,and the electric energy consumption is reduced by 17.8%,which achieves the goal of economic operation,energy saving and consumption reduction of the belt conveyor.

belt conveyorimage recognitionfrequency control

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潞安化工集团余吾煤业公司,山西 长治 046100

带式输送机 图像识别 变频控制

2024

机械管理开发
山西省机械工程学会

机械管理开发

影响因子:0.273
ISSN:1003-773X
年,卷(期):2024.39(3)
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