3D Point Cloud Mapping for Earthwork Deformation Inspection
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Solution Overview
Problem
Existing visual inspection methods for earthwork structures are inefficient and unable to quantitatively assess deformations such as cracks or separations on surface layers, making it difficult to detect deterioration at an early stage and requiring extensive manual effort.
Innovation Solution
An information processing system that combines image capturing and three-dimensional sensors to acquire data, allowing for efficient evaluation of slope structures by generating three-dimensional point clouds and identifying specific points within these clouds, facilitating automated detection of deformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual inspection methods are used for earthwork structures, then manual inspection can be performed, but inspection efficiency is low and quantitative assessment of deformations is unable to be achieved
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system that uses computer vision algorithms to detect deformations. The system automatically captures images, processes them to identify cracks and separations, and quantifies deformation parameters, eliminating the need for manual measurement and assessment.
Solution Approach 2:
The inspection system performs self-service by automatically detecting and quantifying deformations without requiring manual intervention. The image processing system autonomously identifies deformation features, measures their dimensions, and generates inspection reports, enabling the system to inspect itself and the structure independently.
2Measurement precision
If manual inspection is performed to detect deterioration, then detailed examination can be conducted, but extensive manual effort and time are required
Solution Approach 1:
The image processing system operates continuously to detect deformations, capturing images at multiple time points and continuously analyzing them for changes. This continuous monitoring enables precise detection of deformation progression without requiring repeated manual inspections, significantly reducing inspection time while maintaining high measurement precision.
Solution Approach 2:
The system creates digital copies of the earthwork structure through image capture and three-dimensional point cloud generation. These digital representations allow for precise measurement and analysis of deformations without physical contact, enabling detailed examination of cracks and separations while eliminating the time-consuming nature of manual inspection.
3Loss of information
If three-dimensional point cloud data is generated and processed, then accurate identification of specific positions can be achieved, but complex data processing is required
Solution Approach 1:
The patent segments the three-dimensional point cloud data into manageable portions, identifying and isolating specific deformation regions from the overall structure. By dividing the complex data into discrete deformation features, the system can process and analyze each segment independently, reducing the overall complexity while maintaining high position identification accuracy.
Solution Approach 2:
The system introduces an intermediary image processing layer between the raw three-dimensional point cloud data and the final deformation detection. This intermediate image processing step simplifies the data by extracting key deformation features and their positions, making the overall system more manageable while preserving the accuracy of position information through the coordinated use of multiple sensors.
Data Source
AI summary
An information processing apparatus includes circuitry to set, according to a determination operation of determining to designate a specific position in a brightness image indicating an object, a specific point cloud corresponding to the specific position in a three-dimensional point cloud indicating the object.