Aug 2026· International Journal of Science, Strategic Management and Technology· Vol 02, pp. 1-9· 0 citations
Abstract
Water quality monitoring is es-sential for ensuring safe drinking water and protecting public health. With in-creasing pollution and improper waste management, the quality of drinking wa-ter is being affected in many regions. Tra-ditional methods of water testing rely on manual sampling and laboratory analy-sis, which are time-consuming, labor-in-tensive, and not suitable for quick deci-sion-making. Therefore, there is a need for an efficient and user-friendly system to monitor water quality effectively.This project proposes an IoT-Based Smart Drinking Water Safety Monitoring Sys-tem with On-Demand User Display. The system uses a turbidity sensor to measure the clarity of water, which is an im-portant indicator of water quality. A NodeMCU (ESP8266) microcontroller is used to process the collected sensor data and enable wireless communication through Wi-Fi. The system is designed as an on-demand monitoring solution, where the user can check the water qual-ity by clicking a “Check Water Status” button on the web interface. Upon user request, the system processes the data and displays the result on an LCD, while also updating the status on the web page. The system classifies water quality into categories such as ‘Clean’, ‘Moderate’, and ‘Contaminated’ based on predefined threshold values. This approach reduces unnecessary continuous monitoring and provides efficient resource usage. It also improves accuracy, reduces manual ef-fort, and ensures user convenience. Over-all, the proposed system offers a cost-ef-fective, reliable, and scalable solution for modern drinking water safety monitor-ing.
Water pollution has become one of the most serious dangers in recent years, since drinking water has been contaminated and polluted. Polluted water can cause a variety of diseases in humans and animals, affecting the ecosystem's life cycle. Early detection of water contamination allows for the implementation of appropr...
T. Panse, Karan Bansinge, Monica Kalbande et al.· International Conference on...· 0 citations
Introduction: A significant portion of the population still lacks access to drinking water and relies on non-conventional sources such as wells and springs. In these cases, information on water quality and availability is difficult and expensive to obtain. The solutions available in the local market do not offer equita...
In Malaysia, the degradation of water bodies due to rapid urbanisation, agricultural runoff, and industrial waste highlight the urgent need for continuous, efficient water quality monitoring. However, current manual-based sampling methods are time-consuming, labour-intensive, and insufficient for real-time assessment,...
N. A. Makin, A. Azahari, A. M. Firdaus et al.· Journal of Engineering and T...· 0 citations
Water quality is the most important factor for aquaculture and drinking purposes. Water pollution is a major
threat that affects the aquatic life and human’s health. Conventional water quality methods use visual and physical testing
to evaluates the probability of collected water sample. The solution of this problem is...
S. Aruna, Sujatha Kuna, Divya Sri Jami et al.· International Journal of Inn...· 0 citations
In India, a large population depends on local water bodies such as ponds for daily use, yet the quality of these small, community-level sources is rarely monitored or made publicly accessible, even though contamination from waste disposal, human and animal faecal matter, plastic pollution, and poor sanitation makes tim...
The model integrates low-cost sensors to measure pH, turbidity, temperature, and total dissolved solids (TDS), along with an embedded microcontroller for real-time data acquisition and processing, and demonstrates reliable real-time monitoring with minimal measurement deviations.
S. Ooko, Laura Cheptegei, Simon M. Karume· Mbeya University of Science...· 0 citations
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