Slope Collapse Location via SAR Deformation Segmentation
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Solution Overview
Problem
Traditional methods for determining the precise location of high slope collapse areas rely on manual interpretation of two-dimensional displacement graphs from ground-based interferometric synthetic aperture radar, resulting in approximate locations and lack of real-time monitoring.
Innovation Solution
A method and system utilizing long time series of slope images from ground-based synthetic aperture radar, composing them into two-dimensional deformation graphs, conducting line and grid partitioning, and selecting monitoring points to determine the precise location of collapsed areas through coordinate changes, enabling real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual interpretation of two-dimensional displacement graphs is used, then the method is simple and easy to operate, but the location accuracy of collapsed areas is low and real-time monitoring cannot be achieved
Solution Approach 1:
The patent divides the slope surface into multiple monitoring lines, and further divides each monitoring line into multiple monitoring points. This segmentation transforms the continuous surface monitoring problem into discrete point monitoring, enabling precise location identification while maintaining manageable system complexity through structured data organization.
Solution Approach 2:
The patent transitions from two-dimensional displacement graphs to three-dimensional spatial coordinates by introducing elevation information and temporal dimensions. The monitoring system captures slope surface changes in three dimensions (x, y, z coordinates) over time, enabling precise location determination of collapsed areas through spatial coordinate analysis.
2Measurement precision
If manual determination of collapsed area location is performed, then the operation process is simple, but the specific location coordinates cannot be accurately indicated
Solution Approach 1:
The patent replaces manual interpretation with automated computational processing. The monitoring system automatically calculates spatial coordinates, identifies monitoring points with maximum deformation, and determines collapsed area locations through algorithmic analysis of three-dimensional coordinate data, eliminating time-consuming manual measurement and interpretation processes.
Solution Approach 2:
The monitoring system performs self-analysis by automatically processing the collected three-dimensional coordinate data, identifying deformation patterns, and determining collapsed area locations without requiring external manual intervention. The system autonomously generates location information and provides real-time monitoring results.
3Measurement precision
If comprehensive monitoring of all points in slope images is conducted, then the location accuracy is improved, but the calculation amount increases significantly
Solution Approach 1:
The patent extracts only the critical monitoring points that exhibit maximum deformation from the entire slope surface. By identifying and focusing on these key points rather than processing all points uniformly, the system achieves accurate location determination while significantly reducing the computational burden associated with comprehensive full-surface analysis.
Solution Approach 2:
The patent applies different monitoring densities to different regions of the slope based on local deformation characteristics. Areas with higher deformation rates or greater risk receive denser monitoring point distribution, while stable areas use sparser sampling. This localized quality adjustment optimizes calculation efficiency by concentrating computational resources where they are most needed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise and real-time monitoring of high slope collapse areas, reducing calculation complexity and improving location accuracy by using a surface-to-line-to-point monitoring method, effectively addressing the limitations of traditional slope monitoring technologies.
Implementation Method 1
obtain slope images in a long time series by using a ground-based synthetic aperture radar
Data Source
AI summary
The present disclosure provides a method and a system for precise location of a high slope collapse area. Firstly, the slope images in a long time series are obtained, the slope images in the long time series are composed into a two-dimensional slope deformation graph, and an area with the maximum deformation in the two-dimensional slope deformation graph is selected as a deformation area. Then, the deformation area is segmented by straight line, and the deformation region obtained by straight line segmentation is displayed in overlapping way in the slope images of long time series, and the region corresponding to the connecting line with the largest change range is selected as the monitoring line area from the overlapping image. Finally, the monitoring points are selected from the monitoring line area to determine the location of the high slope collapse area.