Development and Experimental Evaluation of an IoT-Based Multi-Point Thermal Monitoring System for an R134a Domestic Refrigeration System
This study presents the development and experimental validation of a low-cost, IoT-based multi-sensor monitoring system using an ESP32 microcontroller and ThingSpeak cloud platform to provide real-time, component-level thermal and humidity analysis of a domestic R134a refrigeration system, demonstrating its effectiveness in capturing transient behaviors and establishing a foundation for predictive maintenance.