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王晓蕾,姬志岗,魏慷,等. 煤层开采地表沉陷监测及预测技术现状及发展趋势[J]. 科学技术与工程, 2020, 20(24): 9696-9706.
王晓蕾,姬志岗,魏慷,et al.Present situation and Development trend of Surface subsidence Monitoring and Prediction Technology in Coal seam Mining[J].Science Technology and Engineering,2020,20(24):9696-9706.
煤层开采地表沉陷监测及预测技术现状及发展趋势
Present situation and Development trend of Surface subsidence Monitoring and Prediction Technology in Coal seam Mining
投稿时间:2019-10-10  修订日期:2020-06-01
DOI:
中文关键词:  煤矿开采  地表沉陷 沉陷预测  矿山测量
英文关键词:coal  mining subsidence  settlement prediction  latch
基金项目:
                       
作者单位
王晓蕾 吕梁学院矿业工程系
姬志岗 吕梁学院矿业工程系
魏慷 吕梁学院矿业工程系
陈建华 吕梁学院矿业工程系
王香菊 吕梁学院矿业工程系
薛涵婷 吕梁学院矿业工程系
张志远 吕梁学院矿业工程系
李开波 吕梁学院矿业工程系
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中文摘要:
      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CCD和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。
英文摘要:
      The monitoring and prediction of surface subsidence in the coal mine is of great significance to the surface treatment and environmental protection of the coal mine. The monitoring and prediction methods of surface subsidence in the coal mine are described in detail, and the monitoring and prediction process of the coal mine are discussed and analyzed in detail. The problems existing in the monitoring and prediction of surface subsidence are pointed out. In the light of the existing problems, the future technology of the combined sensor based on the Internet and the combination of CCD and GPS is put forward, the monitoring data of the mining area is monitored in real time and the data processing is carried out, and the processed data is transmitted to the data center in real time. the data center adjusts 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 influence degree of the factors is determined in the prediction process, the prediction method is reasonably selected, and the prediction accuracy is improved.
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