Method and system for processing monitoring data of deep trench base arching

By generating median values ​​of window displacement and velocity, filtering candidate historical windows, merging positive continuous change segments of spatially adjacent monitoring points, generating spatiotemporally connected overlapping segments, and calculating the comprehensive arch discrimination value, the problems of historical monitoring data quality differences and short-term changes at single points are solved, thereby improving the accuracy and reliability of deep road cut foundation deformation monitoring.

CN122863122APending Publication Date: 2026-10-02CHINA RAILWAY FIFTH BUREAU GRP CHENGDU ENG CO LTD +3
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Patent Information

Application Number
CN202611355414.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-09-03
Publication Date
2026-10-02

AI Technical Summary

Technical Problem

In existing methods for monitoring the deformation of deep road cut foundations, the quality differences in historical monitoring data affect the establishment of discrimination criteria, and short-term changes at a single monitoring point are difficult to reflect continuous spatial correlation changes, resulting in inaccurate discrimination results.

Method used

By acquiring the base normal displacement value and plane coordinates of each monitoring point, the median displacement value and median velocity value of the window are generated, candidate historical windows are screened, historical displacement boundaries and historical velocity boundaries are established, positive continuous change segments of spatially adjacent monitoring points are merged, spatiotemporally connected overlapping segments are generated, the comprehensive arching discrimination value is calculated, and the base arching early warning result is output.

Benefits of technology

It improves the reliability of monitoring data processing, reduces the impact of missing records and local discrete data on the discrimination criteria, maintains the spatial correspondence of the monitoring area, and improves the accuracy of monitoring the arching of the basement.

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Abstract

The application discloses a deep trench base heave monitoring data processing method and system, relates to the technical field of data processing, and obtains a monitoring point base normal displacement value, a sampling time and a plane coordinate, generates a window displacement median value and a window displacement rate median value; divides historical data into a calibration historical section and a verification historical section, screens historical windows according to the number of missing values, the number of direction reversals and the window end time displacement median absolute deviation, and generates a displacement history boundary, a displacement rate history boundary and a reference duration; extracts a positive continuous change section, combines the overlapping time periods of spatial adjacent monitoring points into a spatiotemporal connected same-direction overlapping section, generates a comprehensive heave discrimination value in combination with the out-of-bounds degree and the overlapping feature, and outputs an early warning result when the discrimination condition is met. The application solves the problems that the discrimination benchmark is unstable due to the difference of historical monitoring data and that it is difficult to identify continuous spatial correlation deformation caused by single-point short-time change, and improves the reliability of the base heave monitoring result.
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