Abstract:

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. Approximately 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 exceeds 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 manpower cost.

Key words: massive data, BDS deformation monitoring, automation technology, station health diagnosis, middle route of South-to-North Water Diversion Project