Water Leakage Detection and Management System

Abstract

In this era of globalization, water leakage significantly contributes to water waste and can adversely affect the environment if left unchecked. Much water is wasted due to unsupervised and poorly managed actions. The primary objective of leak detection is to locate leaks and measure their dimensions in secured products and systems. The process begins with hardware development, which is crucial for obtaining raw data by measuring water flow velocity at specific crack locations. Software-based methods use computer systems to monitor pressure and flow rate data to detect leaks continuously. This involves converting the velocity data into audio frequency signals. The gathered signals are then processed in MATLAB, a high-performance technical computing software, through four phases: segmentation, pre-processing, feature extraction, and classification, with Internet of Things (IoT) features integrated. Finally, the data is analyzed using the k Nearest Neighbour (kNN) classifier for classification.