摘要
在煤矿开采进行地表沉陷形变监测时,布设在工作面上方的监测点在煤矿开采到一定程度后,总有部分的监测点受到损毁或淹没于沉陷盆地的积水中,无法进行正常数据采集,导致无法进行后续的参数解算。针对此问题,文中利用不同的拟合算法将缺失的数据进行拟合解算,并将不同算法的拟合公式进行精度评定及对比分析其优劣性。
When monitoring the surface subsidence deformation in coal mining,the monitoring points placed above the working surface would be damaged or submerged in the water in the subsidence basin after the coal mine had been mined to a certain extent,and the normal data collection could not be performed. Subsequent parameter calculations could not be carried out. In order to solve this problem,in this paper,the missing data was fitted and solved by different fitting algorithms,and the fitting formulas of different algorithms were used to evaluate the accuracy and compare the advantages and disadvantages.
作者
袁晓鑫
吕伟才
袁蹈
许妙强
杨亮亮
徐蒋林
Yuan Xiaoxin;Lyu Weicai;Yuan Dao;Xu Miaoqiang;Yang LiangLiang;Xu Jianglin(Surveying and Mapping Department,Anhui University of Science and Technology,Huainan 232000,China)
出处
《矿山测量》
2019年第1期6-9,共4页
Mine Surveying
基金
国家自然科学基金(41474026)
淮南矿业(集团)有限责任公司项目(HNKY-JTJS(2013)-28)
关键词
形变监测
数据拟合
精度评定
deformation monitoring
data fitting
accuracy evaluation
作者简介
袁晓鑫(1994-),男,安徽滁州人,安徽理工大学测绘工程专业硕士在读,主要研究方向为GNSS变形监测数据处理,无人机测图。
