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
Research and Design of Intelligent Control System for Mine Belt Conveyor Based on Image Recognition
庞鑫1
作者信息
- 1. 潞安化工集团余吾煤业公司,山西 长治 046100
- 折叠
摘要
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.
Abstract
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.
关键词
带式输送机/图像识别/变频控制Key words
belt conveyor/image recognition/frequency control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据