摘要
井下水仓环境及工作条件恶劣,淤积物中含水量大,难以彻底清理。传统的水仓煤泥清理技术存在着较多的突出问题:工人工作环境危险性大;设备繁多、故障发生率高;无法实现对水仓积淤的实时监控、预警,为解决这一技术难题以及需求,结合互联网+、物联网、机器人控制技术、图像识别和传感器融合等机器人相关学科的先进理论与技术,研制出集远程遥控模块、视觉采集模块、智能监测模块等为一体的水仓智能清淤机器人。提高了清淤效率和煤矿智能化水平,实现井下无人或少人的清淤作业,保障了煤矿安全生产运行。
The environment and working conditions of the underground water silo are poor,and the water content in the silt is large,which is difficult to clean thoroughly.There are many outstanding problems in the traditional coal bunker sludge cleaning technology:the working environment of workers is dangerous;the equipment is numerous,the fault rate is high;cannot realize the real-time monitoring and early warning of not be realized.In order to solve this technical problem and demand,combined with the advanced theory and technology of robot related disciplines such as Internet plus,Internet of things,robot control technology,image recognition and sensor fusion,an intelligent silt cleaning robot with remote control module,visual acquisition module and intelligent monitoring module is developed.It improves the efficiency of desilting and the level of coal mine intelligence,realizes the desilting operation of no one or less people underground,and ensures the safe production operation of coal mine.
作者
孟祥忠
侯力扬
蔡佩征
薛天格
刘文峰
张春海
MENG Xiangzhong;HOU Liyang;CAI Peizheng;XUE Tiange;LIU Wenfeng;ZHANG Chunhai(College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Shandong Qingdao 266100, China;Inner Mongolia Huangtao Legai Coal Co.,Ltd.—Bayan Guller Coal Mine, Inner Mongolia Erdos 017212,China)
出处
《工业仪表与自动化装置》
2021年第2期77-80,100,共5页
Industrial Instrumentation & Automation
关键词
井下水仓
机器人
远程遥控
视觉采集
智能监测
shaft sump
robot
remote control
visual acquisition
intelligent detection
