摘要
采煤机和液压支架作为综采智能化工作面建设的核心和基础,两者的协调可靠作业是综采智能化实现的关键前提。在实际生产中,液压支架护帮板和采煤机截割滚筒之间常发生截割干涉,大大增加了装备的维护成本,严重时将导致安全事故的发生。当前所提出的基于机器视觉的采煤过程截割干涉检测方法虽然能实现基本的截割干涉检测功能,但是难以根据所处环境自适应的调节截割干涉检测系统关键参数,导致其工业适应性及稳定性较低。通过引入海洋捕猎者算法对截割干涉检测系统关键参数进行动态优化,自适应调节截割干涉检测系统性能,有效提升了其适应性与稳定性。工业性试验表明,基于海洋捕猎者算法该优化后的截割干涉检测系统相比原系统截割检测准确性提升了16.67%,达到了92.36%,大幅提升了基于机器视觉的采煤过程截割干涉检测方法的工业可靠性,具有更强的工业应用潜力。
The shearer and hydraulic support are the core and foundation of the construction of intelligent working face in fully mechanized coal mining.The coordinated and reliable operation of the shearer and hydraulic support is the key prerequisite for the realization of intelligent fully mechanized coal mining.In actual production,cutting interference often occurs between the hydraulic support face guard and the shearer cutting drum,which greatly increases the maintenance cost of the equipment and will lead to serious safety accidents.Although the current proposed cutting interference detection method based on machine vision can realize the basic cutting interference detection function,it is difficult to adaptively adjust the key parameters of the cutting interference detection system according to the environment,resulting in its low industrial adaptability and stability.The Marine Predators Algorithm is introduced to dynamically optimize the key parameters of the cutting interference detection system,adaptively adjust the performance of the cutting interference detection system,and effectively improve its adaptability and stability.The industrial test proves that the optimized cutting interference detection system based on the Marine Predators Algorithm has improved the accuracy of cutting interference detection by 16.67% compared with the original system,reaching 92.36%,greatly improving the industrial reliability of the cutting interference detection method based on machine vision in the coal mining process,which has stronger industrial application potential.
作者
任跃武
廉鹏
马战鹏
REN Yaowu;LIAN Peng;MA Zhanpeng(Xi’an Heavy Equipment Intelligent Mine Engineering Technology Co.,Ltd.,Xi’an 710032,China;Suzhou Unicorn Communications Technology Co.,Ltd.,Suzhou 215104,China)
出处
《陕西煤炭》
2024年第4期113-118,共6页
Shaanxi Coal
关键词
液压支架护帮板
海洋捕猎者算法
采煤机滚筒
机器视觉
空间干涉
hydraulic support face guard
marine predators algorithm
shearer drum
machine vision
spatial interference
