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Metal Mine ›› 2020, Vol. 49 ›› Issue (09): 87-95.

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Study on Monitoring Site Selection Model of Mining Area Based on Geographical Scene

LI Wenjing,HU Dan,LI Nan   

  1. 1. School of Resources and Environmental Engineering,Wuhan University of Science and Technology,Wuhan 430081,China;2. Hubei Key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resources,Wuhan 430081,China;3. Wuhan Yongye Cyberspace Planning and Survey Co.,Ltd.,Wuhan 430062,China;4. Hubei Provincial Archives of Surveying and Mapping Achievements (Hubei Geographic Information Data Exchange Center), Wuhan 430074,China
  • Online:2020-09-15 Published:2020-10-16

Abstract: Intelligent mining platform carries out real-time measurement, control and digitization of mine, human,machine and environment.It can enable the whole mine to have the ability of self-analysis and decision-making,so as to realize the visualization, automation,intelligence and unmanned in the process of mine production management,and achieve the goal of high yield,high efficiency and safety.The construction of geo-video system is an important means to solve the safety problem in the intelligent mining platform.In view of the location problem of geo-video monitoring equipment in the mine safety,this paper proposes a location model of mining monitoring based on geographical scene.Firstly, this model extracts a set of extensible geographic scene semantic classification models for monitoring location by comparing and analyzing four aspects of geographic entities,geographic scenes,and monitoring equipment and location principles in several typical semantic models.Then,the monitoring candidate group and the horizon range of monitoring equipment are input as parameters into the set coverage model based on monitoring location selection,and the linear programming method is used to solve the problem.Finally,the test results of a mining area proves that the model can scientifically and reasonably locate monitoring equipment in the study area.The experimental results show that the candidate points are evenly distributed and have certain regularity.This proofs that the method can replace the previous manual screening methods,improve the efficiency and accuracy of site selection,and has a better stress capability for the ever-changing monitoring requirements and environmental elements.

Key words: intelligent mine, mine security, geographic scene semantics, monitoring site selection, horizon