Leveraging Optical Communication Fiber and AI for Distributed Water Pipe Leak Detection

TL;DR

This paper presents a novel method combining fiber-optic sensors and AI algorithms to detect and localize water pipe leaks accurately, including leak severity assessment, improving water network management.

Contribution

It introduces an integrated fiber-optic and AI-based system for efficient leak detection and severity assessment in water networks, a novel approach in this domain.

Findings

Detects leaks as small as 0.027 L/s

Provides accurate leak localization

Enables leak severity prioritization

Abstract

Detecting leaks in water networks is a costly challenge. This article introduces a practical solution: the integration of optical network with water networks for efficient leak detection. Our approach uses a fiber-optic cable to measure vibrations, enabling accurate leak identification and localization by an intelligent algorithm. We also propose a method to access leak severity for prioritized repairs. Our solution detects even small leaks with flow rates as low as 0.027 L/s. It offers a cost-effective way to improve leak detection, enhance water management, and increase operational efficiency.