Leak Detection Baseline Comparison for Fluid Systems
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Solution Overview
Problem
Existing leak detection systems in water distribution networks face challenges such as undetected leaks, high false alarm rates, and poor performance on small or quiet leaks, particularly in pipes made from varying materials, leading to water loss and infrastructure damage.
Innovation Solution
A system comprising leak detectors with sensors that collect acoustic and pressure data, processing devices, and a communication module to determine baseline signals and detect leaks by comparing current data to historical baselines, sending alarms for large leaks immediately and delaying reports of small leaks until designated times, while maintaining continuous monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pressure measurement is used for leak detection, then leaks can be detected, but false alarms increase and some leaks remain undetected
Solution Approach 1:
The system segments the leak detection task by using multiple sensor types (acoustic sensors, pressure sensors, flow meters) to detect different aspects of leaks. Acoustic sensors detect sound signatures of leaks, pressure sensors monitor pressure changes, and flow meters measure flow variations, allowing the system to identify leaks more accurately while reducing false alarms through multi-parameter analysis
Solution Approach 2:
The leak detection system is designed with multi-functionality by integrating multiple detection methods (acoustic detection, pressure measurement, flow monitoring) into a single unified system. This universal approach enables the system to detect various types of leaks (small leaks, large leaks, bursts) across different pipe materials and conditions, improving both reliability and measurement precision simultaneously
2Reliability
If continuous monitoring of all leaks is performed, then accurate detection is achieved, but resource consumption and false alarms increase
Solution Approach 1:
The system dynamically adjusts its monitoring and response strategy based on leak severity. For small leaks, the system collects data and delays reporting until designated times, reducing immediate resource consumption. For large leaks or bursts, the system triggers immediate alarms and rapid response. This dynamic approach maintains high detection accuracy while optimizing resource allocation and response timing
Solution Approach 2:
The system applies partial monitoring action by not treating all detected leaks with the same level of immediate attention. Small leaks are monitored and reported at designated times rather than requiring immediate response, while large leaks receive full attention with immediate alarms. This selective approach reduces false alarm impact and resource consumption while maintaining overall detection accuracy
3Reliability
If leak detection systems are installed in all pipe locations, then comprehensive coverage is achieved, but system complexity and cost increase
Solution Approach 1:
The system segments the pipe network into zones or sections and strategically places sensors at key locations rather than continuously along entire pipelines. This segmentation allows comprehensive coverage through coordinated monitoring of multiple segments while reducing the total number of sensors and system complexity
Solution Approach 2:
The leak detection system is designed with multi-functionality by integrating multiple detection methods (acoustic detection, pressure measurement, flow monitoring) into a single unified system. This universal approach enables the system to detect various types of leaks across different pipe materials and locations, achieving comprehensive coverage while consolidating infrastructure and reducing overall 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
The system provides accurate and timely detection of leaks, minimizing water loss and infrastructure damage, with a high accuracy rate and low false alarm rate, compatible with all pipe types, including plastic and those with plastic repair sleeves.
Implementation Method 1
receiving, at a processor, historical leak detection information from a first sensor in a fluid distribution system the leak detection information comprising acoustic signal information
Data Source
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AI summary
Technologies for detecting leaks in a fluid distribution system are described herein. Historical leak detection information is received from a sensor in the fluid distribution system and collected in a database. A baseline is determined from the historical leak information. Current leak detection information is then received from the sensor and the probability of a leak in the fluid distribution system is determined based on a difference between the current leak detection information and the baseline.