一种滑坡面域离散监测设备异常监测数据排除方法
By dividing the landslide area into square grids and installing sensors, and combining attribute value classification and tangent angle calculation, the problem of false early warnings caused by monitoring equipment malfunctions was solved, thereby improving the accuracy and efficiency of landslide monitoring data.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING INST OF GEOLOGY & MINERAL RESOURCES
- Filing Date
- 2024-03-15
- Publication Date
- 2026-07-17
AI Technical Summary
In existing methods for eliminating abnormal monitoring data from landslide monitoring equipment, when the stability of the monitoring equipment is abnormal or disturbed, it is easy to issue false early warning information, leading to a massive workload for engineers while the true early warning information is overwhelmed.
The landslide area was divided into square grids, displacement monitoring sensors were installed, and abnormal devices were identified by classifying attribute values and calculating tangent angle values. Combined with spatial continuity testing, abnormal monitoring data were eliminated.
It can detect abnormal equipment in a timely and accurate manner, prevent the issuance of false early warning information, and improve the accuracy and efficiency of landslide monitoring data.
Smart Images
Figure CN118111371B_ABST