Modeling and Application of the Underground Emergency Hedging System Based on Internet of Things Technology

被引:13
|
作者
Wang, Jinhua [1 ]
Guo, Yunfei [1 ]
Jia, Yuna [1 ]
Zhang, Yajing [2 ]
Li, Mengqian [1 ]
机构
[1] North China Univ Sci & Technol, Coll Min Engn, Tangshan 063210, Peoples R China
[2] North China Univ Sci & Technol, Coll Sci, Tangshan 063210, Peoples R China
基金
中国国家自然科学基金;
关键词
Mine Internet of Things; underground emergency hedging system; underground geomagnetic GRPM positioning; hedging path; spatial data mining;
D O I
10.1109/ACCESS.2019.2917263
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The application of the Internet of Things technology in intelligent mines has become an important research area with the rapid development of the cloud platform and Internet +. The Internet of Things technology is a core technology that specializes in model building and algorithm implementation for the application of the mine Internet of Things. The framework of the mine Internet of Things integrated information platform from the perception layer, the transmission layer, the data layer, and the application layer is constructed according to the complexity and particularity of the underground working environment in this paper, which establishes the technical flow of the Internet of Things for underground emergency hedging subsystems and designs the main functions of five subsystems based on the Internet of Things technology. This paper proposes the structure and function of the underground emergency hedging system and introduces key technology combined with the Internet of Things technology. A novel algorithm for underground geomagnetic GRPM positioning and a mathematical model of the underground emergency hedging path are proposed according to the concepts of spatial data mining and the intelligent mine, which verify the validity of the model in intelligent decision-making in the simulation test. The simulation results show that the algorithm and model provided an effective idea for positioning and hedging in an underground emergency and help improve the intelligent analysis of the mine Internet of Things data.
引用
收藏
页码:63321 / 63335
页数:15
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