The Tianjin mainline of the South-to-North Water Diversion Project established a settlement monitoring system in 2021,which includes 102 domestically produced BDS(BeiDou Satellite)monitoring stations.Approxi-mately 6.4 GB of raw observation data and 2 125 settlement monitoring results are added daily.Due to the large span of the project and the consequent low efficiency of manual inspections,it is difficult to quickly and promptly diagnose the health status of monitoring stations.To address this issue,we propose an automated health diagnosis technology for stations with massive BDS deformation monitoring data.By assessing whether the multi-path error ex-ceeds a threshold for a long time and whether the subsidence patterns change abruptly,we can timely diagnose the observation environment and stability around BDS monitoring stations.This enables rapid analysis and diagnosis of vegetation growth changes and abnormal soil subsidence changes around BDS monitoring stations at a lower man-power cost.
关键词
海量数据/北斗变形监测/自动化技术/站点健康诊断/南水北调中线工程
Key words
massive data/BDS deformation monitoring/automation technology/station health diagnosis/middle route of South-to-North Water Diversion Project
维普
万方数据