<![CDATA[High indoor air humidity can reduce thermal comfort and potentially affect occupants, equipment, and materials. This study aimed to develop and initially evaluate an Internet of Things (IoT)-based room air-drying system using a SoC ESP32 for automatic humidity monitoring and control. A prototype engineering approach was employed through system requirements analysis, hardware and software design, prototype development, IoT integration, and testing in a small-scale test room. The system integrates a DHT22 temperature-humidity sensor, ESP32, relay, air-drying actuator, and IoT dashboard for real-time monitoring. Initial testing showed that the system reduced relative humidity from 78.6% RH to 61.2% RH, corresponding to a reduction of 17.4 percentage points. The temperature decreased from 29.4°C to 28.8°C during the drying process. The measured sensor accuracy was 97.8% for temperature and 96.4% for relative humidity when compared with a reference measuring instrument, while the average actuator response time was 4.7 s from threshold detection to activation. The system successfully displayed temperature, humidity, and actuator status on the dashboard in real time and operated without significant disturbances during the test. However, the evaluation was limited to a small-scale test room and did not include settling time, overshoot, or long-term humidity fluctuation analysis. Therefore, the prototype demonstrates initial feasibility as a low-cost approach to automatic indoor humidity control and has potential for further development and testing under more diverse room conditions.]]>
Copyrights © 2026
