Ground-Penetrating Radar 3D Attribute Analysis for Water Pipe Leakage
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Solution Overview
Problem
Current non-destructive methods for detecting water supply pipe leakage, such as regular sounding, require extensive experience, are environmentally sensitive, and have low efficiency, while existing ground-penetrating radar techniques face challenges in interpreting complex underground media, resulting in unreliable and inefficient leakage detection due to single-dimensional image analysis and reliance on personal experience.
Innovation Solution
A method utilizing ground-penetrating radar for three-dimensional image attribute analysis, involving axial scanning, data processing (DC removal, zero-time correction, and band-pass filtering), and multi-attribute analysis to construct three-dimensional space information, enabling accurate positioning and scaling of pipe leakage by extracting coherent, instantaneous, and amplitude attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ground-penetrating radar is used for leakage detection, then detection efficiency and speed are improved, but image interpretation reliability deteriorates due to complex underground media and single-dimensional analysis
Solution Approach 1:
The patent transforms traditional two-dimensional radar profiles into three-dimensional visualizations by integrating multiple scanning lines and applying spatial interpolation algorithms. This dimensional enhancement allows operators to perceive leakage targets from multiple angles and depths, significantly improving interpretation reliability while maintaining high detection efficiency.
Solution Approach 2:
The patent combines multiple attribute information (amplitude, phase, time) from radar signals with spatial coordinates to create a composite three-dimensional attribute space. This composite representation integrates diverse data dimensions, enabling more reliable leakage detection despite the complexity of underground media variations.
2Device complexity
If traditional two-dimensional radar image analysis is used, then device complexity is low, but measurement precision deteriorates due to reliance on personal experience and single-way display
Solution Approach 1:
The patent enhances traditional 2D profile analysis by constructing 3D visualizations that incorporate spatial depth information and multiple attribute dimensions. This allows precise leakage positioning through spatial correlation without requiring excessive operator experience, thereby improving measurement precision while maintaining manageable system complexity.
Solution Approach 2:
The patent applies attribute-based coloring to the three-dimensional visualization, where different colors represent varying attribute values (e.g., amplitude strength, phase characteristics). This visual encoding enables precise leakage identification through color-pattern recognition, improving measurement precision without significantly increasing device complexity.
3Ease of operation
If information from radar images is limited to single attribute and single display mode, then ease of operation is maintained, but loss of information increases due to insufficient leakage detail
Solution Approach 1:
The patent segments leakage information into multiple attribute components (amplitude, phase, time, spatial coordinates) and displays them as separate visual layers in the three-dimensional space. Users can selectively focus on different attribute segments while maintaining overall operational simplicity, thereby reducing information loss without complicating the user interface.
Solution Approach 2:
The three-dimensional attribute space serves multiple functions simultaneously: it visualizes spatial distribution, displays attribute variations, enables cross-sectional analysis, and supports quantitative measurement. This multi-functionality comprehensively presents leakage information while maintaining ease of operation through a unified interactive interface.
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 enhances the accuracy and efficiency of pipe leakage detection by transforming two-dimensional radar images into three-dimensional data, allowing for comprehensive analysis and improved imaging effects, thereby facilitating more precise and rapid identification of leakage positions and scales.
Implementation Method 1
uses reflection of high-frequency pulse electromagnetic waves to detect a target object
Implementation Method 2
based on the theory of electromagnetic wave propagation and premised on the difference of dielectric (conductivity and dielectric constant)
Data Source
AI summary
The present disclosure belongs to field of nondestructive testing and positioning of urban water supply pipe leakage in municipal engineering and discloses a method for detecting leakage of water supply pipe based on ground-penetrating radar three-dimensional image attribute analysis including: acquiring ground-penetrating radar original image data of water supply pipe by longitudinal scanning; de-noising and filtering acquired original image data; fitting processed image data into three-dimensional data body by interpolation, extracting multiple planar or stereo image attributes and displaying image attributes by longitudinal, transverse, horizontal, irregular profiles and iso-surface; and accurately identifying and positioning pipe leakage positions and scale by multi-attribute comprehensive analysis. In this disclosure, leakage position is accurately positioned; spectrum with rich information is obtained based on extracted frequency attributes, leakage position is further verified; and high-resolution imaging is performed on leakage features based on extracted amplitude attributes, and the scale of pipe leakage is determined.