Smart Water Leakage Detection And Prevention System Using IoT Technology

The "Water Leakage Detection System Using IoT" is designed to detect and prevent water leakage by utilizing a Raspberry Pi Model B+ as the central control unit. It integrates several sensors, including a soil moisture sensor to assess soil dampness, a DHT11 sensor to measure temperature and humidity, and a flow sensor to monitor water flow. When any of these parameters deviate from the expected range such as an increase in temperature, abnormal moisture levels, or irregular water flow the system triggers an alert mechanism.A GSM module is employed to send an SMS notification to the user, ensuring they are promptly informed of any anomalies. Simultaneously, a buzzer sounds to draw immediate attention to the issue. An LCD screen provides real-time data and system status, while a 5mm red LED lights up when a critical parameter exceeds its threshold, indicating a potential leakage or abnormal condition. The system is powered by a reliable 12V 1A adapter, ensuring continuous and stable operation, making it suitable for real-time monitoring and response. Furthermore, the system utilizes machine learning algorithms to analyze sensor data and improve detection accuracy over time. By learning from historical data, it enhances its ability to identify patterns associated with leaks or irregular conditions. This proactive approach helps minimize water waste and prevent damage, making the system an efficient and intelligent solution for water leakage detection in various environments.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-03
DOI
https://doi.org/10.5281/zenodo.15129466
Primary Topic
Hearing, Cochlea, Tinnitus, Genetics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Water Leakage Detection And Prevention System Using IoT Technology

Zenodo (CERN European Organization for Nuclear Research)
Hearing, Cochlea, Tinnitus, Genetics
article

Smart Water Leakage Detection And Prevention System Using IoT Technology

article en

Abstract

The "Water Leakage Detection System Using IoT" is designed to detect and prevent water leakage by utilizing a Raspberry Pi Model B+ as the central control unit. It integrates several sensors, including a soil moisture sensor to assess soil dampness, a DHT11 sensor to measure temperature and humidity, and a flow sensor to monitor water flow. When any of these parameters deviate from the expected range such as an increase in temperature, abnormal moisture levels, or irregular water flow the system triggers an alert mechanism.A GSM module is employed to send an SMS notification to the user, ensuring they are promptly informed of any anomalies. Simultaneously, a buzzer sounds to draw immediate attention to the issue. An LCD screen provides real-time data and system status, while a 5mm red LED lights up when a critical parameter exceeds its threshold, indicating a potential leakage or abnormal condition. The system is powered by a reliable 12V 1A adapter, ensuring continuous and stable operation, making it suitable for real-time monitoring and response. Furthermore, the system utilizes machine learning algorithms to analyze sensor data and improve detection accuracy over time. By learning from historical data, it enhances its ability to identify patterns associated with leaks or irregular conditions. This proactive approach helps minimize water waste and prevent damage, making the system an efficient and intelligent solution for water leakage detection in various environments.

Zenodo (CERN European Organization for Nuclear Research)
Yogi Vemana University (IN)
Clean water and sanitation
Openalex Percentile: Top 53%
Hearing, Cochlea, Tinnitus, Genetics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.