摘要
基于煤矿井下恶劣作业环境现状,研究了机器人技术在煤矿井下自动化作业中的应用。分析了井下环境特点与自动化作业需求,设计了“感知层-网络层-应用层”三层架构的煤矿井下自动化作业系统,探讨了系统启动安全预检、执行任务规划和实施协同作业的工作流程。通过搭建实验平台,对系统性能进行测试验证。结果表明,该系统在正常照度条件下定位导航误差仅为0.08 m,掘进效率达6.2 m/日,较传统人工作业提升93.8%;在高粉尘环境下人员干预率为17.5%,超出预设指标。
Based on the current harsh working environment in coal mines,the application of robot technology in automated operations in coal mines is studied.The characteristics of the underground environment and the requirements for automation operations are analyzed.A coal mine underground automation operation system with a three-layer architecture of"perception layer,network layer,application layer"is designed,and the workflow of initiating safety pre checks,executing task planning,and implementing collaborative operations is explored.By building an experimental platform,the system performance is tested and verified.The results show that the positioning and navigation error of the system under normal illumination conditions is only 0.08 m,and the excavation efficiency reached 6.2 m/day,which is 93.8%higher than traditional manual operations.The personnel intervention rate in high dust environments is 17.5%,exceeding the preset target.
作者
李超
LI Chao(Tang'an Coal Mine Branch,Shanxi Lanhua Sci-tech Venture Co.,Ltd.,Jincheng,Shanxi 048407,China)
出处
《自动化应用》
2025年第15期77-79,共3页
Automation Application
关键词
煤矿机器人
井下自动化
多机协同
coal mine robot
underground automation
multi-aircraft cooperation