摘要
煤矿开采地表沉陷监测及预测对于煤矿地表治理及环境保护具有重要意义。详细阐述了煤矿地表沉陷监测及预测方法,并对其监测及预测过程进行了较为详细的论述与分析。指出地表沉陷监测及预测存在的问题,针对存在的问题,提出了未来基于互联网+技术以及码/载波相位扩散技术(CCD)和全球定位系统(GPS)组合传感器技术,对矿区监测数据进行实时监测并进行数据处理,对处理后的数据实时传送到数据中心,数据中心根据监测结果实时调整监测区域达到最优监测效果;未来地表沉陷预测发展应考虑开采地质条件、开采工艺、开采深度、开采厚度等因素对于地表沉陷的影响,在预测的过程中确定因素的影响程度,合理选择预测方法,提高预测精度。
The monitoring and prediction of surface subsidence in the coal mine is of great significance for the surface treatment and environmental protection of coal mine.At the very beginning,the monitoring and prediction methods of surface subsidence in the coal mine were described,and the monitoring and prediction process of the coal mine were discussed and analyzed in detail.The problems existing in the monitoring and prediction of surface subsidence were pointed out.In the light of the existing problems,the future technology of the combined sensor based on the Internet and the combination of code carier phase divergent techniques(CCD)and global positioning system(GPS)was put forward,the monitoring data of the mining area was monitored in real time and the data processing was carried out,and the processed data was transmitted to the data center in real time.The data center adjusted the monitoring area in real time to achieve the optimal monitoring effect according to the monitoring results,and the future surface subsidence prediction and development should take into account the effects of the mining geological conditions,the mining process,the mining depth,the mining thickness and the like on the surface subsidence.The results show that the influence degree of the factors is determined in the prediction process.And the reasonably selected prediction method can improve the prediction accuracy.
作者
王晓蕾
姬志岗
魏慷
陈建华
王香菊
薛涵婷
张志远
李开波
WANG Xiao-lei;JI Zhi-gang;WEI Kang;CHEN Jian-hua;WANG Xiang-ju;XUE Han-ting;ZHANG Zhi-yuan;LI Kai-bo(Department of Mining Engineering,Lüliang University,Lüliang 033000,China;Key of Laboratory of Maintenance and Inspection of Coal Mine Mechanical Equipment of Lüliang City,Lüliang 033000,China)
出处
《科学技术与工程》
北大核心
2020年第24期9696-9706,共11页
Science Technology and Engineering
基金
山西省高等学校科技创新项目(2019L0954)
山西省“1131工程”煤矿机械装备故障诊断与健康管理技术创新团队项目(TD201812)。
关键词
煤矿开采
地表沉陷
沉陷预测
矿山测量
coal mining
surface subsidence
settlement prediction
mine surveying
