1.Engineering Research Center of Intelligent Control for Underground Space,Ministry of Education,China University of Mining and Technology,Xuzhou , China;2.School of Information and Control Engineering,China University of Mining and Technology,Xuzhou ,China；3.Xuzhou Engineering Research Center of Intelligent Industry Safety and Emergency Collaboration,China University of Mining and Technology,Xuzhou ,China

Dirven by big data and artificial intelligence,the locations of mine objects and events can provide abundant services which are far beyond the scope of single system,such as personnel localization,equipment orientation determination,robot navigation and unmanned driving,so it is better to design the mine location services from the perspective of systematic and global view. This paper proposes the framework of mine location service composed of four layers,i.e. location object layer,location acquisition layer,location transmission layer,location excavation and service layer. The three key technologies are discussed. The precise localization technology of moving objects in mines focuses on the distance measuring,measuring optimization,object location computation and localization system development. The location big data of mines studies the collection,storing and analysis of big data. The artificial intelligence algorithms for mine location services mainly consider the perception intelligence,production intelligence and decision-making intelligence. Then the hot research areas are surveyed,including the emergency evacuation and rescue,remote mining and unmanned mining,mine location service applications. These hot areas mainly include the following fields:optimization of escape path,determination locations of trapped workers and making rescue,cause analysis and responsibility definition of accidents,localization,orientation and navigation of mining devices,cooperative localization and navigation among multiple robots,unmanned driving technologies and equipment for coal mines,accident time-space evolution laws,scheduling and decision-making based on trajectories,“one map” in production process of coal mines. The mine location service is becoming an infrastructure of coal mines,and its future directions are the ubiquitous network with space-time properties,decision-making model library with location reasoning and intelligent mine platform with location services.

0 引言
1 矿山目标位置服务的框架结构
2 矿山目标位置服务关键技术
2.1 矿井动目标精确定位技术
2.2 矿山位置大数据技术
2.3 矿山目标位置服务人工智能算法
3 矿山目标位置服务的热点方向
3.1 应急撤离与灾后救援
3.2 遥控采煤与无人采煤
3.3 矿井位置大数据应用
4 矿山目标位置服务的发展趋势
4.1 构建融合时空属性的泛在一张网
4.2 构建融合位置推理的决策模型库
4.3 构建融合位置服务的智能矿山平台
5 结论

胡青松,张赫男,李世银,等.基于大数据与AI驱动的智能煤矿目标位置服务技术[J].煤炭科学技术,2020,48(8):121-130.