Development of a Water Temperature Control System for Nano Aquariums Using Fuzzy Logic Principles via a Web Application
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Abstract
The design and implementation of an intelligent temperature control system for small aquariums utilizing fuzzy logic control combined with an Internet of Things platform is suggested by this study. Utilizing an ESP32 as its central processing unit, the system interfaces with accurate pH and temperature sensors to track environmental conditions. The system uses a fuzzy logic method to dynamically modify a thermal control module that includes a cooling fan, heatsink, and Peltier device. An OLED screen shows real-time data, which is then sent to a specially created web application so that users can remotely monitor and control the aquarium online. The system's capacity to accurately maintain water temperature within the ideal range, adapt to environmental changes, and guarantee data dependability through both local and online interfaces is demonstrated by the experimental findings. The suggested approach lowers long-term operating costs and improves aquarium maintenance efficiency, making it a workable option for intelligent aquatic ecosystems.
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