We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Low-Cost Internet-of-Things Water-Quality Monitoring System for Rural Areas
Summary
Researchers developed a low-cost Internet-of-Things water quality monitoring system using Arduino and Bluetooth sensors to measure temperature, pH, TDS, and turbidity, providing an affordable solution for continuous water quality surveillance in rural areas.
Water is a vital source for life and natural environments. This is the reason why water sources should be constantly monitored in order to detect any pollutants that might jeopardize the quality of water. This paper presents a low-cost internet-of-things system that is capable of measuring and reporting the quality of different water sources. It comprises the following components: Arduino UNO board, Bluetooth module BT04, temperature sensor DS18B20, pH sensor-SEN0161, TDS sensor-SEN0244, turbidity sensor-SKU SEN0189. The system will be controlled and managed from a mobile application, which will monitor the actual status of water sources. We propose to monitor and evaluate the quality of water from five different water sources in a rural settlement. The results show that most of the water sources we have monitored are proper for consumption, with a single exception where the TDS values are not within proper limits, as they outperform the maximum accepted value of 500 ppm.
Sign in to start a discussion.
More Papers Like This
A Systematic Literature Study on IoT-Based Water Turbidity Monitoring: Innovation in Waste Management
This systematic literature review surveyed IoT-based water turbidity monitoring systems, assessing innovations in sensor technology, data transmission, and automated alerting that enable real-time tracking of water quality parameters for environmental and public health management.
Low-cost IoT based system for lake water quality monitoring
This study built a low-cost sensor system using Internet of Things technology to monitor basic water quality parameters like turbidity, pH, and dissolved oxygen in lakes. While not focused on microplastics specifically, affordable real-time water monitoring tools like this could eventually be adapted to track microplastic contamination. Better water quality monitoring is an important step toward understanding and reducing the pollutants, including microplastics, that end up in drinking water sources.
Tracking microplastic pathways: Real-time IoT monitoring for water quality and public health
Researchers developed a low-cost, IoT-enabled system called TEMPT for real-time microplastic detection in water using turbidity sensors. The accompanying algorithm achieved 91.47 percent accuracy in identifying microplastic contamination, outperforming conventional methods. The study demonstrates how affordable sensor technology could enable large-scale monitoring of microplastic pollution in diverse water bodies.
Economical and Novel Microplastic Detection Using a Arduino-Based Turbidity Sensor: A Comprehensive Investigation
Researchers developed a low-cost Arduino-based turbidity sensor system for microplastic detection as an accessible alternative to expensive FTIR and Raman spectroscopy methods. The sensor demonstrated the ability to detect microplastic-induced changes in water clarity, offering a practical monitoring tool for low-resource settings and smaller waterways that are typically undersampled.
Water Quality Monitoring Using Physical Web Concept and Alert via Whatsapp Messenger
Not a microplastics paper — this engineering paper describes a low-cost IoT system that monitors water quality parameters (pH and total dissolved solids) in real time and sends alerts via WhatsApp when quality falls below safe thresholds.