IOT BASED WATER LEAKAGE DETECTION USING MACHINE LEARNING APPROACH

IOT BASED WATER LEAKAGE DETECTION USING MACHINE LEARNING APPROACH

Registration ID: IJNRD_221738

Published ID: IJNRD2405451

DOI: Click Here to Get

Y. Pavan Kumar , R. Jhansi Pravachana , SK. Dilshad , M. Jhansi

Water leakage detection, Internet of Things (IOT), Machine Learning (ML), rain sensor, water level sensor, GSM Module

Water leakage poses significant challenges in various settings, from residential to industrial, leading to property damage, financial losses, and environmental concerns. This paper presents an intelligent Internet of Things (IoT) and Machine Learning (ML)--based solution designed to detect and localize leaks early, thereby mitigating their adverse impacts. Our proposed system utilizes IoT-enabled water level sensor and rain sensor strategically placed throughout the infrastructure to continuously monitor water flow, transmitting real-time data wirelessly to a central processing unit. At the heart of the system lies a machine learning algorithm trained to analyze sensor data and discern patterns indicative of potential leaks. Employing supervised learning techniques, the algorithm classifies normal and abnormal water flow behaviors and employs anomaly detection algorithms to identify subtle deviations suggestive of leaks. Upon detecting a potential leak, the system triggers alerts via SMS, email, or mobile application, furnishing stakeholders with location and severity details to facilitate prompt intervention. Real-world experiments were conducted to validate the system's effectiveness, assessing detection accuracy, false alarm rates, and response times across various leak scenarios. Results underscore the system's reliability, efficiency, and cost-effectiveness in early leak detection and mitigation, thereby curtailing water wastage, property damage, and associated expenses.

Published Paper   E-Certificate

"IOT BASED WATER LEAKAGE DETECTION USING MACHINE LEARNING APPROACH", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.e467-e475, May-2024, Available :https://ijnrd.org/papers/IJNRD2405451.pdf

Volume 9 Issue 5, May-2024

Pages : e467-e475

Paper Reg. ID: IJNRD_221738

Published Paper Id: IJNRD2405451

Downloads: 000121279

Research Area: Electronics & Communication Engg. 

Country: Vijayawada, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405451.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405451

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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