矿山地质环境“天—空—地—人”协同监测与多要素智能感知

Integrated Space-Air-Ground-Human Monitoring and Multiple Parameters Intelligence Sensing of Mine Geological Environment

矿区地质灾害突出、环境问题复杂,其多尺度、连续性和整体性监测及生态环境多要素耦合演变机理研究,是我国矿区生态保护总体规划的主要工作内容。为解决矿区地质环境多平台、多要素、多尺度和时空协同监测问题,基于对地观测技术、地基设备和人工调查手段,建立了矿山地质环境“天—空—地—人”立体协同监测及多要素精准感知技术体系。在此基础上,通过构建矿区多源异构数据的智能融合模型,开发知识引导和数据学习双向驱动的智能化地质环境信息提取方法,从而实现矿区全生命周期地质环境演变的智能反演与感知。研究表明:“天—空—地—人”协同监测与基于多源异构数据融合的多要素精准感知,是矿区生态环境多要素耦合演变机理研究的重要基础,能够为矿山地质环境“信息智能获取—知识学习—辅助决策”大数据决策支持系统构建提供技术支撑,为矿区安全高效开采和矿山地质环境保护提供科学保障。

It is known that the geological hazard is prominent and the environmental problems is complex in the mining area.Hence,the multi-scale,continuous and holistic monitoring,as well as the mechanism of multi-factor coupling study of ecological environment become the main task of overall planning of ecological protection in mining areas.Based on a variety of existing advanced observation technologies,equipment and manual investigation methods,this paper constructs a technology system of integrated"Space-Air-Ground-Human"monitoring and multi-element accurate perception,which can achieve a settlement of multi-platform,multi-parameter,multi-scale and time-space collaborative monitoring of geological environment in mining areas.In order to get an intelligent inversion and a perception of geological environment evolution of geological environment in the whole life cycle,the intelligent fusion model of multi-source heterogeneous data in mining area is constructed,and the intelligent extraction method of geological environment information driven by knowledge guidance and data learning is developed.The study results show that the"Space-Air-Ground-Human"integrated monitoring and data fusion-based intelligent perception of multiple parameters are the important basis for the study of multi-factor coupling evolution mechanism of ecological environment in mining area.Besides,it can also provide technological support for the construction of big data decision support system of“information intelligent acquisition-knowledge learning-assisted decision”,and provide scientific guarantee for safe and efficient mining as well as mine geological environment protection.