Terrain Displacement Monitoring via Dynamic Image Analysis
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Solution Overview
Problem
Existing monitoring systems for terrain displacement, such as landslides, face challenges in detecting changes in hard-to-reach areas and require manual intervention, which can be unsafe and inefficient.
Innovation Solution
A monitoring system utilizing a survey instrument and observation controller that photographs terrain variations, detects displacement using characteristic regions, and adjusts observation intervals based on detected changes, with the ability to remotely operate and communicate data for real-time monitoring and alerting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring methods are used for terrain displacement, then human operators can directly observe and assess the terrain, but it becomes unsafe and inefficient for hard-to-reach areas
Solution Approach 1:
The monitoring system performs self-observation by automatically capturing images of the terrain and processing them through image recognition algorithms to detect displacement, eliminating the need for human operators to physically access hazardous areas while maintaining continuous monitoring capability
Solution Approach 2:
The patent replaces manual mechanical observation with an automated optical-electronic system that uses cameras to capture images and computer algorithms to analyze terrain changes, substituting human physical presence with remote digital monitoring
2Productivity
If fixed observation intervals are used for terrain monitoring, then the monitoring system operates simply and consistently, but it cannot efficiently respond to accelerating terrain changes
Solution Approach 1:
The system dynamically adjusts the observation interval based on the detected terrain displacement rate, shortening the interval when displacement accelerates and lengthening it when displacement is stable, allowing the monitoring system to adapt its behavior to changing conditions rather than operating on a fixed schedule
Solution Approach 2:
The system uses feedback from image recognition results to control the timing of subsequent observations, where the detected terrain change rate directly influences the next observation interval, creating a closed-loop control system that responds to actual terrain conditions
3Measurement precision
If comprehensive terrain monitoring is implemented, then all terrain changes are detected, but the data processing burden and false alarm rate increase
Solution Approach 1:
The system extracts only the essential feature of terrain displacement from comprehensive image data by using image recognition algorithms to identify and measure specific terrain characteristics, separating the critical displacement information from the vast amount of raw visual data to reduce processing requirements
Data Source
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AI summary
Disclosed is a monitoring method wherein: a target is prepared using terrain model data including terrain location information; at a first time, an image of the target is picked up by means of an image pickup unit of a surveying device, and first image data is generated; at a second time after the first time, an image of the target is picked by means of the image pickup unit of the surveying device, and second image data is generated; and displacement of the target is detected using a first image based on the first image data, and a second image based on the second image data.