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

作　　者：陈国良[1,2] 时洪涛 汪云甲[1,5] 周大伟 刘鑫[1] 王行风[1] 庄会富[1] CHEN Guoliang;SHI Hongtao;WANG Yunjia;ZHOU Dawei;LIU XinWANG Xingfeng;ZHUANG Huifu(School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China;Jiangsu Key Laboratory of Resources and Environment Information Engineering,Xuzhou 221116,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;Laboratory of National Geographic Census and Monitoring,Ministry of Natural Resources,Wuhan 430079,China;Key Laboratory of Land Environment and Disaster Monitoring,Ministry of Natural Resources,Xuzhou 221116,China)

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221116 [2]江苏省资源环境信息工程重点实验室,江苏徐州221116 [3]武汉大学遥感信息工程学院,湖北武汉430079 [4]自然资源部地理国情监测重点实验室,湖北武汉430079 [5]自然资源部国土环境与灾害监测重点实验室,江苏徐州221116

出　　处：《金属矿山》2023年第1期9-16,共8页Metal Mine

基　　金：国家自然科学基金项目(编号:42274048);自然资源部地理国情监测重点实验室开放基金项目(编号:2022NGCM04);中央高校基本科研业务费专项(编号:2022QN1080);江苏省重点研发计划项目(编号:BE2022716)。

摘　　要：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.

关 键 词：矿山地质环境 多平台 多要素 协同监测 多源异构 数据融合 智能感知 

分 类 号：TD167[矿业工程—矿山地质测量] P237[天文地球—摄影测量与遥感]