Leak Noise Correlator Quality Indices for Plastic Pipe Signals
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Solution Overview
Problem
Existing leak detection systems in plastic pipes face challenges due to high attenuation of vibro-acoustic signals and operator inexperience, leading to incorrect signal interpretation and erroneous leak location, as current correlators lack quality assessment indices and graphical interfaces.
Innovation Solution
A method and system for analyzing the quality of leak noise correlator signals using frequency band, coherence, phase, peak, and shape indices, with a graphical display to classify signal quality and assist operators in decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cross-correlation technique is used for leak detection in plastic pipes, then leak detection capability is improved, but measurement precision deteriorates due to high signal attenuation
Solution Approach 1:
The system performs preliminary quality assessment of the received signal before final leak detection decision. By calculating quality indices (coherence, signal-to-noise ratio, peak sharpness) and displaying them to the operator, the system enables preliminary evaluation of whether the measured signal is sufficient for accurate leak location, allowing re-measurement if quality is inadequate.
2Loss of information
If multiple data parameters are displayed in correlators, then information completeness is improved, but ease of operation deteriorates due to operator inexperience requirements
Solution Approach 1:
The system segments the complex signal analysis into distinct quality indicators that are separately calculated and displayed. Instead of presenting raw correlagram data requiring expert interpretation, the system divides the information into manageable quality metrics (coherence, SNR, peak characteristics) that guide operators through the assessment process step by step.
Solution Approach 2:
The system uses color-coded visual indicators to represent signal quality levels. Quality indices are displayed with color variations (e.g., green for good quality, yellow for moderate, red for poor quality), enabling operators to quickly assess signal adequacy without requiring deep technical knowledge of correlator data interpretation.
3Measurement precision
If signal quality assessment tools are added to correlators, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system implements self-assessment capabilities where the correlator automatically calculates its own signal quality metrics using the received signal data. The quality indices are derived from the same signal processing chain used for leak detection, requiring minimal additional hardware while providing comprehensive quality evaluation through software-based calculations.
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
Enhances the accuracy of leak detection by providing a quality index calculation and graphical display, enabling operators to make informed decisions and reducing the likelihood of incorrect leak location.
Implementation Method 1
the high attenuation of the vibro-acoustic signal of the leak
Implementation Method 2
One of the most widespread techniques worldwide is the cross-correlation of signals
Data Source
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Figure 4b~5a
AI summary
The present invention describes a method and system for analyzing the quality of signals coming from a leak noise correlator. Specifically, the present invention comprises analyzing the quality of signals coming from a leak noise correlator by receiving the signal coming from the correlator by means of a processor, calculating, by the processor, at least one quality index of the received signal and classifying of the measurement quality of that signal based on the index resulting from the calculation performed. The present invention pertains to the fields of electrical/mechanical engineering, leak detection, water & sanitation, water distribution and pipeline maintenance.