LiDAR Deformation Prediction System for Ground Monitoring
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Solution Overview
Problem
Current techniques fail to predict deformations in monitoring target surfaces, such as ground surfaces affected by underground excavation, leading to inefficiencies in paving and soil improvement works as deformations occur unexpectedly.
Innovation Solution
A prediction system that acquires three-dimensional data using LiDAR scanners, detects deformations over time, and predicts future deformations by analyzing the patterns and propagation velocities of past deformation occurrences, allowing for proactive planning and preparation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deformation detection is performed using laser scanner, then deformation can be detected, but prediction of future deformation is not possible
Solution Approach 1:
The system performs preliminary actions by detecting and analyzing past deformation patterns before they propagate to new areas. By establishing deformation propagation velocities and predicting future deformation locations, the system enables proactive preparation and resource allocation, converting reactive deformation response into proactive deformation management.
Solution Approach 2:
The system implements feedback by continuously monitoring deformation occurrences, analyzing the spatial and temporal patterns, and using this information to predict future deformations. The feedback loop involves detecting deformations, calculating propagation velocities, updating prediction models, and generating alerts for predicted deformation locations, thereby improving prediction accuracy over time.
2Productivity
If paving and soil improvement works are performed without deformation prediction, then construction progress is maintained, but resources are wasted on unnecessary work
Solution Approach 1:
The system enables preliminary action by predicting deformation occurrences before they happen, allowing construction planning to be adjusted in advance. This prevents wasteful deployment of paving and soil improvement resources to areas where deformations will occur, while maintaining productivity in areas where deformations are not predicted.
Solution Approach 2:
The system changes the operational parameters of construction activities by using prediction data to dynamically adjust work schedules, resource allocation, and construction sequences. This optimization reduces energy and resource consumption by avoiding unnecessary work in predicted deformation zones while maintaining overall construction progress.
3Reliability
If deformation prediction is implemented, then future deformations can be anticipated, but system complexity increases
Solution Approach 1:
The system uses copying by creating simplified representations of deformation patterns through mathematical models. Instead of complex physical analysis, the system copies deformation behavior into computational models that calculate propagation velocities and predict future locations, achieving reliable predictions with manageable system complexity.
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
Enables accurate prediction of deformation occurrences and positions, allowing for timely preparation and reducing the wastage of resources by postponing unnecessary work until deformations are anticipated.
Implementation Method 1
an acquisition means for repeatedly acquiring three-dimensional data of a monitoring target surface on a time axis
Data Source
AI summary
An acquisition means repeatedly acquires three-dimensional data of a monitoring target surface on a time axis. A deformation detection means detects, based on a plurality of pieces of the three-dimensional data, a first deformation occurring at a first time, and a second deformation occurring at a position different from an occurrence position of the first deformation at a second time being after the first time. A deformation prediction means predicts, based on a detection result by the deformation detection means, that a third deformation may occur in a future at a position different from occurrence positions of the first deformation and the second deformation.