Smart Water Monitoring System using Ultrasonic and pH Sensor with IoT Platform

During floods and water pollution, delayed operations by corresponding authorities and communities have led to significant damage. The existing monitoring systems for flooding and water quality are inefficient because they function independently. Besides that, the conventional method of collecting information is time-consuming, and current systems do not alert people immediately. The current system must be upgraded to a real-time smart monitoring system so that people can access information immediately via their smartphones. The aim of this research is to develop a smart water monitoring system capable of monitoring water level and water quality in terms of pH level at a specific location. Both parameters can be tracked simultaneously by the proposed system. Ultrasonic and pH sensors are utilized to gather data. The microprocessor processed the data before sending it to the system's outputs, which include a Liquid Crystal Display (LCD), buzzer, and ThingSpeak as the IoT platform, which can be accessed via a smartphone. The results show that the JSN-SR04T is the best ultrasonic sensor to use for detecting water level because its percentage of error is only 1.38% and it can also reduce the system's power consumption by 13.89%. Furthermore, due to its low percentage of error 2.72%, the analog pH metre SKU: SEN 0161 is the appropriate pH sensor to detect a relatively correct pH level. Hence, by incorporating both sensors, a reliable system can be developed.

Authors

Institutions

Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-10-15
DOI
https://doi.org/10.37934/araset.64.1.204215
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Water Monitoring System using Ultrasonic and pH Sensor with IoT Platform

Suzi Seroja Sarnin, Azlina Idris, Siti Maisurah Sulong, Norbaya Sidek et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Water Quality Monitoring Technologies
article

Smart Water Monitoring System using Ultrasonic and pH Sensor with IoT Platform

Suzi Seroja Sarnin, Azlina Idris, Siti Maisurah Sulong, Norbaya Sidek, Muhammad Syafiq Samsulbahari
article en

Abstract

During floods and water pollution, delayed operations by corresponding authorities and communities have led to significant damage. The existing monitoring systems for flooding and water quality are inefficient because they function independently. Besides that, the conventional method of collecting information is time-consuming, and current systems do not alert people immediately. The current system must be upgraded to a real-time smart monitoring system so that people can access information immediately via their smartphones. The aim of this research is to develop a smart water monitoring system capable of monitoring water level and water quality in terms of pH level at a specific location. Both parameters can be tracked simultaneously by the proposed system. Ultrasonic and pH sensors are utilized to gather data. The microprocessor processed the data before sending it to the system's outputs, which include a Liquid Crystal Display (LCD), buzzer, and ThingSpeak as the IoT platform, which can be accessed via a smartphone. The results show that the JSN-SR04T is the best ultrasonic sensor to use for detecting water level because its percentage of error is only 1.38% and it can also reduce the system's power consumption by 13.89%. Furthermore, due to its low percentage of error 2.72%, the analog pH metre SKU: SEN 0161 is the appropriate pH sensor to detect a relatively correct pH level. Hence, by incorporating both sensors, a reliable system can be developed.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Universiti Teknologi MARA (MY)
Universiti Teknologi MARA
Openalex Percentile: Top 73%
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.

Smart Water Monitoring System using Ultrasonic and pH Sensor with IoT Platform — Suzi Seroja Sarnin, Azlina Idris, et al. · Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) | TGRS Research Map | TGRS