Pressure Sensor Placement for Leak Localization in Water Distribution Networks Using Information Theory

Area of Science:

• Engineering
• Information Theory
• Environmental Science

Background:

• Water distribution networks are critical infrastructure requiring efficient monitoring.
• Leak detection in these networks is essential for water resource management and operational efficiency.
• Traditional sensor placement methods may not be optimal for maximizing leak detection capabilities.

Purpose of the Study:

• To develop and present a novel method for optimal pressure sensor placement in water distribution networks.
• To utilize information theory principles to select sensor locations that maximize leak detection information.
• To minimize information redundancy among selected sensor nodes.

Main Methods:

• Applied information theory, specifically mutual information, to quantify the relevance of sensor nodes.
• Developed a heuristic algorithm with quadratic computational cost for efficient node selection.
• Utilized EPANET software for simulating leak scenarios and generating pressure datasets.
• Implemented and tested the algorithm on the Hanoi water distribution network.

Main Results:

• Identified an optimal subset of sensor nodes that maximize information for leak localization.
• Achieved simultaneous maximization of information relevance and minimization of information redundancy.
• Demonstrated the time-efficiency of the heuristic algorithm compared to other sensor placement methods.
• Verified the effectiveness of the selected sensor placement through exhaustive analysis.

Conclusions:

• The proposed information-theoretic approach provides an effective and efficient method for optimal pressure sensor placement.
• The selected sensor locations significantly enhance the ability to detect and locate leaks in water distribution networks.
• This method offers a valuable tool for improving the monitoring and management of water infrastructure.