DEVELOPMENT OF AN AUTOMATED DEW CONTROL SYSTEM BASED ON THE ESP8266 MICROCONTROLLER.
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Abstract
This paper presents the development of an automated dew formation control system based on the ESP8266-01 microcontroller. The system is designed to monitor microclimatic parameters in high-humidity environments to prevent condensation on critical surfaces such as windows. The relevance of this work is driven by the need for affordable, energy-efficient solutions for controlling humidity and temperature in domestic and industrial settings.
The proposed system consists of an autonomous data acquisition module, a data processing unit, and a microclimate control system. The main components include DHT11 temperature and humidity sensors, fans for air circulation, ESP8266 microcontrollers, power and control modules, as well as Peltier elements and heating elements. The collected data is transmitted via a local Wi-Fi network for further analysis and visualization in an Android application.
A distinctive feature of the design is the use of two autonomous data acquisition blocks placed at the top and bottom of the window. This allows for monitoring the temperature gradient along the height and more accurately predicting the point of dew formation. The automatic control mode for the system’s active elements is implemented based on comparing the surface temperature with the calculated dew point, determined from the collected humidity and temperature data.
To improve measurement accuracy, the design includes a fan that accelerates the sensor's adaptation to the surrounding environment. Experimental results confirmed the positive impact of air circulation on the stability and accuracy of the readings, but also highlighted the need for calibration of the fan speed to avoid errors.
The system is implemented based on modular principles, using open-source software, ensuring flexibility, scalability, and accessibility for a wide range of users. Test results confirmed the high accuracy of the sensor operation, stable data transmission, effective response to environmental changes, and ease of integration with a mobile application for remote monitoring.
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References
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