KEYWORDS: Control systems, Sensors, Air temperature, Temperature control, Fuzzy logic, Web services, Databases, Temperature sensors, Internet, Connectors
The article discusses intelligent ways to regulate room temperature. It is shown how the project architecture is built and the tools for its implementation are selected using intelligent algorithms, mainly fuzzy logic. Recommendations are given for the selection of software and hardware for implementing microclimate control systems. The hardware can be implemented using a NodeMCU board with a built-in ESP8266 module, and DS18B20 integrated temperature sensors connected to it. It is recommended to program the device in the Arduino IDE. The software part can also be implemented as a web service and a database connected to it. The web service is implemented using the Flask framework. The database is implemented in the MySQL environment. Nginx is selected as the web server for deploying the web service. The results of this work can be used in various rooms with installed heating, air conditioning and ventilation devices to maintain optimal microclimate conditions with minimal energy costs.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.