IDENTIFICATION WATER LEVEL MONITORING SYSTEM AND PERSON DETECTION IN BATHROOM USING IOT CONNET APPLICATION

This Uncontrolled and excessive use of water can lead to the scarcity of clean water supplies, considering that the world's fresh water supply is only about 3%. An example of uncontrolled water use is when a tap user forgets to close the tap so this causes water waste. Therefore, a tool is needed that can solve these problems. This research aims to develop an IoT-based system that is able to monitor water levels and detect the presence of a person in the bathroom automatically to reduce water waste and increase user comfort. The system utilizes HC-SR04 ultrasonic sensors to measure the water level in the bathtub and PIR sensors to detect motion as an indicator of the presence of people. The data from the sensors is processed by the ESP32 microcontroller and forwarded to the IoT Connect application, which allows users to monitor the water volume and presence in the bathroom in real-time. The system also features a solenoid valve that automatically opens and closes the water flow according to the data from the sensor, as well as an LED as a visual indicator. Test results show that the system is able to accurately monitor water levels and detect the presence of a person, as well as provide automatic control of water flow to prevent wastage. With the integration of the IoT Connect app, the system offers a practical and innovative solution for bathroom water management.

Authors

Institutions

Publication Details

Journal
Jurnal Media Elektrik
Published
2024-12-10
DOI
https://doi.org/10.59562/metrik.v22i1.5940
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IDENTIFICATION WATER LEVEL MONITORING SYSTEM AND PERSON DETECTION IN BATHROOM USING IOT CONNET APPLICATION

Muliadi Muliadi
Jurnal Media Elektrik
Water Quality Monitoring Technologies
article

IDENTIFICATION WATER LEVEL MONITORING SYSTEM AND PERSON DETECTION IN BATHROOM USING IOT CONNET APPLICATION

Muliadi Muliadi
article en

Abstract

This Uncontrolled and excessive use of water can lead to the scarcity of clean water supplies, considering that the world's fresh water supply is only about 3%. An example of uncontrolled water use is when a tap user forgets to close the tap so this causes water waste. Therefore, a tool is needed that can solve these problems. This research aims to develop an IoT-based system that is able to monitor water levels and detect the presence of a person in the bathroom automatically to reduce water waste and increase user comfort. The system utilizes HC-SR04 ultrasonic sensors to measure the water level in the bathtub and PIR sensors to detect motion as an indicator of the presence of people. The data from the sensors is processed by the ESP32 microcontroller and forwarded to the IoT Connect application, which allows users to monitor the water volume and presence in the bathroom in real-time. The system also features a solenoid valve that automatically opens and closes the water flow according to the data from the sensor, as well as an LED as a visual indicator. Test results show that the system is able to accurately monitor water levels and detect the presence of a person, as well as provide automatic control of water flow to prevent wastage. With the integration of the IoT Connect app, the system offers a practical and innovative solution for bathroom water management.

Jurnal Media ElektrikVol. 22(1)
State University of Makassar (ID)
Openalex Percentile: Top 74%
Water Quality Monitoring Technologies
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.