摘要
为提升煤矿井下的巡视效率,降低人力成本,提出基于物联网的煤矿井下无人机巡视信息感知研究。结合物联网技术,通过对无人机与多传感器进行配准,可采集井下环境巡视信息。基于上述采集信息,构建巡视信息评判模型,并基于模型进行煤矿井下安全的有效预警。结果表明,基于物联网的煤矿井下无人机巡视信息感知方法可实现对煤矿井下环境的全面、高效监测。
To enhance inspection efficiency and reduce labor costs in underground coal mines,research on information perception for Unmanned Aerial Vehicle(UAV)inspection in underground coal mines based on the Internet of Things(IoT)is proposed.By integrating IoT technology,inspection information of the underground environment can be collected through the registration of UAVs with multiple sensors.Based on the aforementioned collected information,an inspection information evaluation model is constructed,and effective early warnings for underground coal mine safety are issued based on this model.The results indicate that the IoT-based information perception method for UAV inspection in underground coal mines enables comprehensive and efficient monitoring of the underground coal mine environment.
作者
陈刚
CHEN Gang(Bazhou Qinhua Industrial and Trade Co.,Ltd.,Korla,Xinjiang 841000,China)
出处
《自动化应用》
2025年第16期257-259,共3页
Automation Application
关键词
信息感知
煤矿井下巡视
无人机
感知数据
物联网技术
information perception
underground coal mine inspection
UAV
perception data
IoT technology
