压差式静力水准成果数据滤波和预测算法研究  

Research on Data Filtering and Prediction Algorithm of Differential Pressure Static Leveling Results

作　　者：张子真[1] 周宏磊[1] 张建坤[1] 贾辉[1] ZHANG Zizhen;ZHOU Honglei;ZHANG Jiankun;JIA Hui(BGI ENGINEERING CONSULTANTS LTD.,Beijing 100038,China)

机构地区：[1]北京市勘察设计研究院有限公司,北京100038

出　　处：《城市勘测》2023年第6期141-144,150,共5页Urban Geotechnical Investigation & Surveying

摘　　要：针对静力水准监测数据精度无法满足工程需求的问题,本文提出采用滑动平均法、中位值法、中位值平均法、限幅法和3σ准则等5种滤波法剔除误差,以提高监测精度。通过数据试验,分析和比较各种方法的应用效果。通过拟合的方法,提出数据预测算法。最后将滤波和预测算法编入计算机程序,实现工程应用。Aiming at the problem that the accuracy of static leveling monitoring data cannot meet the engineering requirements,this paper proposes five filtering methods,including sliding average method,median value method,median value average method,limiting method and 3σcriterion,to eliminate errors and improve the monitoring accuracy.Through data test,the application effect of various methods is analyzed and compared.The data prediction algorithm is proposed by fitting method.Finally,the filtering and prediction algorithms are programmed into computer programs to realize engineering applications.

关 键 词：滑动平均法 中位值滤波法 中位值平均滤波法 限幅滤波法 3σ准则滤波法 

分 类 号：P224.1[天文地球—大地测量学与测量工程] P258[天文地球—测绘科学与技术]