Leveraging Optical Communication Fiber and AI for Distributed Water Pipe Leak Detection
Huan Wu, Huan‐Feng Duan, Wallace Wai‐Lok Lai, Kun Zhu, Xin Cheng, Hao Yin, Bin Zhou, Chun-Cheung Lai, Chao Lü, Xiaoli Ding
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.
Topics & Concepts
Computer scienceLeakLeak detectionReal-time computingOptical fiber cableScheme (mathematics)Pipe network analysisOptical fiberTelecommunicationsEnvironmental scienceEnvironmental engineeringThermodynamicsMathematical analysisMathematicsPhysicsAdvanced Fiber Optic SensorsWater Systems and OptimizationInfrastructure Maintenance and Monitoring