Ground Sinkage Prediction via Horizontal Variation Analysis
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Solution Overview
Problem
Current earth observation technologies, such as InSAR, struggle to predict potential sinkage locations accurately and efficiently, especially in wide monitoring areas with time-series data updates, leading to potential errors in identifying risk zones for ground sinkages.
Innovation Solution
A sinkage prediction device and method that analyzes time-series observation data using earth observation technology to determine horizontal direction variations, identifying predetermined states in both time and space axes to predict potential sinkage locations based on these variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operations are used to extract risk locations from time-series InSAR analysis results, then flexibility in analysis is maintained, but errors increase and efficiency decreases
Solution Approach 1:
The patent replaces manual mechanical operations with an automated computer-based system that performs sinkage prediction through algorithmic processing of InSAR observation data. The prediction unit automatically identifies potential sinkage locations by analyzing temporal and spatial variation patterns, eliminating manual errors while maintaining high efficiency through systematic computational methods.
2Area of stationary object
If the monitoring area is wide and time-series results are constantly updated, then comprehensive coverage is achieved, but the complexity of extracting risk locations increases
Solution Approach 1:
The patent segments the complex extraction task into distinct analytical components: acquiring temporal variation data, acquiring spatial variation data, determining temporal state, determining spatial state, and predicting sinkage locations. This segmentation allows the system to handle wide monitoring areas with constant updates by processing data in structured steps, reducing overall complexity while maintaining comprehensive coverage.
3Measurement precision
If only vertical deformation data is analyzed, then the analysis process is simple, but prediction accuracy of sinkage locations is insufficient
Solution Approach 1:
The patent transitions from analyzing only vertical deformation (one dimension) to incorporating both temporal variation (time dimension) and spatial variation (space dimension) of horizontal direction data. This multi-dimensional approach significantly improves sinkage prediction accuracy by capturing the evolving patterns of ground deformation, while the systematic methodology keeps the increased complexity manageable through structured processing steps.
Data Source
AI summary
There is provided a sinkage prediction device including: a variation data acquisition unit 01 analyzing time-series observation data measured by using an earth observation technology and acquiring horizontal direction variation data which is data indicating a horizontal direction variation on a ground surface; and a sinkage prediction unit 20 determining, based on the acquired horizontal direction variation data, whether at least one of the variation in the time axis and the variation in the space axis on the ground surface is in a predetermined state and predicting a location on the ground surface indicating the variation determined to be in the predetermined state as a potential sinkage location where there is a possibility of occurrence of sinkage, wherein it is possible to predict the location where the sinkage may be likely to occur by determining, based on the horizontal direction variation data obtained by analyzing the observation data measured by using the earth observation technology, whether the variation in the time axis or the variation in the space axis on the ground surface is in the predetermined state, by using the predetermined state related to the variation in the horizontal direction viewed on the ground surface where there is a sign that the sinkage is likely to occur as a determination criterion.