Water Network Pressure Transient Source Localization
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Solution Overview
Problem
Maintaining constant pressure in drinking water networks is challenging due to complex pipe systems, leading to undesirable effects like structural failures, contamination risks, and pipe fatigue, making pressure transient regulation unpredictable and difficult to anticipate.
Innovation Solution
A method using high-frequency pressure sensors to acquire, detect, group, and localize pressure transients by analyzing sampled pressure variation records, combined with external data correlation to identify and mitigate the source of pressure transients, thereby reducing network pressure variations and preventing pipe failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-frequency pressure sensors and data analysis methods are implemented to detect and localize pressure transient sources, then measurement precision and reliability improve, but device complexity and cost increase
Solution Approach 1:
The system segments the water network into multiple monitoring zones with distributed pressure sensors. Each sensor independently captures pressure transients, and the system processes data from multiple sensors to triangulate and localize transient sources. This segmentation approach improves measurement precision through spatial distribution while managing complexity by dividing the large-scale network into smaller, independently monitorable segments.
2Reliability
If multiple high-frequency pressure sensors are deployed throughout the network, then measurement precision improves, but the cost and complexity of the system increase
Solution Approach 1:
The pressure sensors serve multiple functions: they monitor steady-state pressure, detect transient events, localize transient sources through triangulation, and provide data for network optimization. This multi-functionality approach improves reliability by making each sensor a versatile monitoring node while reducing overall system complexity by eliminating the need for separate specialized devices for each function.
3Productivity
If pressure is maintained at higher levels to ensure uninterrupted water supply, then productivity improves, but harmful factors increase due to structural failures and pipe fatigue
Solution Approach 1:
The system transitions from static pressure maintenance to dynamic pressure optimization. By continuously monitoring pressure transients and analyzing their sources, the system dynamically adjusts pressure levels in different network zones and time periods. This allows maintaining higher pressure when needed for supply continuity while reducing pressure during periods of low demand, thereby improving productivity while minimizing harmful effects on pipe infrastructure.
Solution Approach 2:
The system implements feedback loops where pressure sensor data is continuously analyzed, transient sources are localized, and this information feeds back into pressure optimization strategies. The feedback mechanism enables real-time or near-real-time adjustments to pressure management, allowing the system to respond to actual network conditions rather than relying on fixed pressure settings, thus balancing supply continuity with infrastructure protection.
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
Efficiently detects and localizes pressure transient sources, minimizing negative effects on water networks and ensuring uninterrupted supply by reducing pipe failures and leakages through precise pressure modulation and mitigation strategies.
Implementation Method 1
acquire a plurality of pressures values for each high frequency pressure sensor
Implementation Method 2
The transient propagates on the network as a pressure wave
Data Source
AI summary
A method for identifying the source of pressure transients in a water distribution network comprising a plurality of high-frequency pressure sensors installed therein. The method includes an acquisition step to acquire a plurality of pressures values for each high frequency pressure sensor during a preset time limit, said plurality of pressures values defining a sampled pressure variation record nearby each sensor during said preset time limit; a detection step for detecting transient events amongst the sampled pressure variation record; a grouping step for grouping detected transient events amongst the sampled pressure variation record; and a localization step for localizing the source of said grouped transient events in function of said sampled pressure variation records.