Design of Smart Sensors for Real-Time Water Quality Monitoring

TLDR

The study presents a real‑time water quality monitoring system designed to detect contaminants and notify users of unsafe conditions. The system employs first‑principles sensors for flow, temperature, pH, conductivity, and ORP, whose signals are conditioned and processed by a microcontroller node that transmits data via ZigBee to a notification node that displays readings and triggers audio alerts, with qualification tests validating each component. The sensors operate within their specified accuracy ranges, and the system reliably measures, transmits, processes, displays, and alerts on physiochemical parameters, confirming its effectiveness.

Abstract

This paper describes work that has been done on design and development of a water quality monitoring system, with the objective of notifying the user of the real-time water quality parameters. The system is able to measure the physiochemical parameters of water quality, such as flow, temperature, pH, conductivity, and the oxidation reduction potential. These physiochemical parameters are used to detect water contaminants. The sensors, which are designed from first principles and implemented with signal conditioning circuits, are connected to a microcontroller-based measuring node, which processes and analyzes the data. In this design, ZigBee receiver and transmitter modules are used for communication between the measuring and notification nodes. The notification node presents the reading of the sensors and outputs an audio alert when water quality parameters reach unsafe levels. Various qualification tests are run to validate each aspect of the monitoring system. The sensors are shown to work within their intended accuracy ranges. The measurement node is able to transmit data by ZigBee to the notification node for audio and visual display. The results demonstrate that the system is capable of reading physiochemical parameters, and can successfully process, transmit, and display the readings.