摘要
文中针对煤矿开采沉陷自动化监测系统高程测量精度偏低的问题,以GNSS CORS开采沉陷自动化监测系统监测站的空间位置为基础,结合开采沉陷的特点,构建卡尔曼滤波模型,进一步改善该系统的测量精度。利用实时监测站的实测值,对比其滤波值得出滤波后的内符合精度的到较大的改善,平面位置精度平均提高31. 8%,完全满足开采沉陷对平面位置精度的要求;高程精度提高14.8%,基本满足开采沉陷对高程的精度要求。
In view of the low accuracy of the height measurement of coal mining subsidence automatic monitoring system, based on the spatial location of the GNSS CORS mining subsidence monitoring system, combining with the characteristics of mining subsidence, Kalman filter model was constructed to further improve the measurement accuracy of the system. Using the measured values of the real-time monitoring station, comparing the filtering values to the larger improvement of the filtered in-accuracy, the plane position accuracy increased by an average of 31.8%, fully satisfying the requirements of the mining subsidence on the plane position accuracy; the elevation accuracy increased by 14.8% basically meeting the mining subsidence on the accuracy of the elevation requirements.
作者
陈长坤
陈方
石长伟
苏迪
肖明
乔方
Chen Changkun;Chen Fang;Shi Changwei;Su Di;Xiao Ming;Qiao Fang(School of Geodesy and Geomatics,Anhui University of Science and Technology,Huainan 232001,China,2.Department of Architectural Engineering,Zhengzhou Institute of Technology,Zhengzhou 451150,China)
出处
《矿山测量》
2018年第5期6-11,共6页
Mine Surveying
基金
国家自然科学基金项目(基于GPS/BDS组合的开采沉陷高精度快速监测关键技术研究41474026
2015-2018)
淮南矿业(集团)有限责任公司项目(潘谢矿区巨厚松散层下开采沉陷边界参数研究:HNKY-JTJS(2017)-122
2017-2019)
