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Design and Implementation of Early Warning Monitoring System for Cross-border Mining in Open-pit Mines

노천광산의 월경 채굴 조기경보 모니터링시스템의 설계 및 구현

  • Li Ke (Division of Information and Communication Convergence Engineering, Mokwon University) ;
  • Byung-Won Min (Division of Information and Communication Convergence Engineering, Mokwon University)
  • 이크 (목원대학교 정보통신용합공학부) ;
  • 민병원 (목원대학교 정보통신용합공학부 )
  • Received : 2024.02.28
  • Accepted : 2024.03.21
  • Published : 2024.04.30

Abstract

For the scenario of open pit mining, at present, manual periodic verification is mainly carried out in China with the help of video surveillance, which requires continuous investment in labor cost and has poor timeliness. In order to solve this difficult problem of early warning and monitoring, this paper researches a spatialized algorithmic model and designs an early warning system for open-pit mine transboundary mining, which is realized by calculating the coordinate information of the mining and extracting equipments and comparing it with the layer coordinates of the approval range of the mines in real time, so as to realize the determination of the transboundary mining behavior of the mines. By taking the Pingxiang area of Jiangxi Province as the research object, after the field experiment, it shows that the system runs stably and reliably, and verifies that the target tracking accuracy of the system is high, which can effectively improve the early warning capability of the open-pit mines' overstepping the boundary, improve the timeliness and accuracy of mine supervision, and reduce the supervision cost.

노천 광산 채굴 시나리오와 관련하여 현재 중국에서는 주요 수동 및 정기 검사를 위한 비디오 모니터링을 사용하는 것으로 인건비를 지속적으로 투자해야 하며 적시성이 낮다. 이 조기경보 모니터링의 문제를 해결하기 위해 이 글에서는 공간화 알고리즘 모델을 개발하여 노천광산의 월경채굴 조기경보시스템을 설계하고 광산채굴장비의 지리적 정보를 산출하고 실시간으로 광산 승인 범위의 레이어 좌표와 비교하고, 자동으로 광산의 월경 채굴 행동을 예측한다. 장시 핑샹 지역을 연구 대상으로 하여 노천 광산 채굴 엔지니어링 기계 장비를 식별 및 추적 대상으로 선정하였으며, 현장 실험을 통해 시스템이 안정적이고 신뢰할 수 있으며 검증 시스템의 목표 추적 정확도가 높은 것으로 나타났으며, 광산 채굴 감독의 적시성과 정확성을 향상시킬 수 있고 감독의 인건비를 크게 절감할 수 있다.

Keywords

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