基于方差补偿自适应Kalman滤波的沉降监测异常数据方法改进  

Improvement of method for monitoring abnormal data of settlement based on variance-compensation Kalman filter

作　　者：夏晨翕 张献州 陈霄 蒋英豪 Xia Chenxi;Zhang Xianzhou;Chen Xiao;Jiang Yinghao(Faculty of Geosciences and Environmental Engineering y Southwest Jiaotong University,Chengdu 611756,China;State-Province Joint Engineer Laboratory in Spatial Information Technology for High-Speed Railway,Chengdu 611756,China)

机构地区：[1]西南交通大学地球科学与环境工程学院,成都611756 [2]高速铁路运营安全空间信息技术国家地方联合工程实验室,成都611756

出　　处：《工程勘察》2019年第11期51-55,共5页Geotechnical Investigation & Surveying

基　　金：上海铁路局横向课题:《路基沉降评估技术服务》(项目编号:LR01HX1135Y17098)

摘　　要：高速铁路路基沉降变形观测中存在多种数据异常,其中“断高”类型的异常数据尤为特别。本文细致分析了断高数据产生、传统处理方法。针对第二种断高情况,考虑自适应Kalman滤波的改进方法替代“归零法”处理。以某高速铁路路基填筑期间沉降板数据为例,采用方差补偿自适应Kalman滤波模型,比较分析新方法与“归零法”成果,最后运用精度评定指标对该方法预测性能进行评价,并得到良好效果。本文提出的处理断高异常数据的思路以期为今后类似问题提供有效借鉴。There are many kinds of abnormal data in the observation of settlement and deformation of high-speed railway roadbed,especially the abnormal data of break height.This paper gives a detailed analysis of the generation of the break height and its traditional processing methods.For the second case of the break height,the improved method of adaptive Kalman filter is considered instead of‘Zero-return Method’.Taking the settlement plate data of a high-speed railway roadbed during filling as an example,this paper uses variance compensation adaptive Kalman filtering to compare and analyze the results of the new method and the‘Zero-return Method’.Finally,the prediction performance of the method is evaluated by the accuracy evaluation index,and the result is good.It provides an effective reference for similar problems in the future.

关 键 词：沉降变形观测 异常数据 方差补偿 自适应Kalman滤波 MAPE 

分 类 号：TU196[建筑科学—建筑理论]