IoT based water quality monitoring system and test for swimming pool water physicochemical quality

• Published in: AIP Conference Proceedings
• Main Author: Yusri W.M.E.W.M.; Ramli M.H.M.; Khusaini N.S.; Mohamed Z.
• Format: Conference paper
• Language: English
• Published: American Institute of Physics Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151533615&doi=10.1063%2f5.0124195&partnerID=40&md5=9371f3549347549fe58763d2e1660dc4

Conventional water quality monitoring needs the use of water sampling and laboratory analysis. In terms of water usage in a swimming pool, this encourages people to ignore the water quality aspect and permitting negative impacts such as pool infection outbreaks. Water quality in a swimming pool has always been neglected due to time-consuming and costly methods. In addressing current problem, this research project aims to develop an Internet of Things (IoT) based water quality monitoring system specifically to monitor water physicochemical quality in swimming pool applications. The system utilizes IoT to display the output in a real-Time manner for on-site monitoring and off-site monitoring using mobile phone, visualize through Blynk application. In this research, the water quality parameter that had been analysed are pH and Total Dissolved Solid (TDS). TTGO Lora ESP32 has been selected as the microcontroller for its advance feature of built-in Wi-Fi module and OLED display. For data acquisition, two type of sensor had been chosen namely DF Robot Gravity Analog pH sensor V2 and KS0429 Keyestudio TDS Meter V1.0. The pH sensor used has a measurement range of 0 to 14 pH value and calibrated with standard buffer solution of pH 4.0 and 7.0. While the TDS sensor used has a measurement range of 0 to 1000 part per million (ppm). TDS sensor has been calibrated using predetermined TDS value solution. Both sensors have successfully undergone calibration process to ensure the validity and credibility of the system. As a result, pH sensor has percentage error of only within 0.25% and TDS sensor percentage error within 0.34%. The main reason both sensor selection is due to its viability in monitoring and achieving intended swimming pool water quality. The system developed has been tested in actual swimming pool applications before the result being analysed and compared with several standards and guidelines. By having a reliable quality monitoring system, corrective procedures can be conduct accordingly. © 2023 Author(s).