Design and Evaluation of Wireless Multi-Sensor IoT System for Monitoring Water Quality of Freshwater Aquaculture

Abstract

The water temperature, pH, dissolved oxygen (DO), electrical conductivity (EC), and salinity levels are the critical cultivation factors for freshwater aquaculture. This paper originally proposes a wireless multi-sensor IOT system for monitoring water quality of freshwater aquaculture, which integrates the all temperature, pH, DO, and EC sensors to acquire the sensing data and salinity information directly derived from EC level. The information of water temperature, pH, DO, EC and salinity levels was displayed in the ThinkSpeak IOT platform and was user-friendly visualized by ThinkView APP. Firstly, these sensors are integrated with a multi-sensor ESP32 WiFi platform. The observations of sensors and the estimated salinity from the EC level are then transmitted by a WiFi network to an on-site WiFi access point (AP). The acquired information is further transmitted to the ThinkSpeak IOT and displayed in a form of web-based monitoring system which can be directly visualized by online browsing or the ThinkView APP. Through the complete processes of pre-calibration, in-situ measurement, and post-calibration, the results illustrate the proposed wireless multi-sensor IOT system has been validated with sufficient accuracy, reliable confidence, and well-tolerance for monitoring water quality of freshwater aquaculture.