摘要
煤矿采煤机的智能化与自动化技术为提高采煤效率、降低安全风险、实现环保效益和经济效益提供了重要途径。然而,目前的研究存在着特定方面的不足,如感知系统在复杂工况下的精准性、智能控制的实时性和自主决策的全面性需要进一步完善。针对这些挑战,应加强多传感器融合、算法优化和实时数据分析,以提高系统整体稳定性与可靠性。
The intelligent and automated technology of coal mining machines provides an important means to improve mining efficiency,reduce safety risks,and achieve environmental and economic benefits.However,current research has specific shortcomings,such as the accuracy of perception systems under complex working conditions,the real-time performance of intelligent control,and the comprehensiveness of autonomous decision-making,all of which need further improvement.To address these challenges,efforts should be made to enhance multi-sensor fusion,algorithm optimization,and real-time data analysis to improve the overall stability and reliability of the system.
作者
赵晓敏
Zhao Xiaomin(Nanshan Coal Industry Co.,Ltd.,Shanxi Kangwei Group,Shanxi,046500)
出处
《当代化工研究》
CAS
2024年第10期92-94,共3页
Modern Chemical Research
关键词
自动化
开采效率
智能控制
automation
extraction efficiency
intelligent control
