Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm

Article type: Research Article

Authors: Balcı, Sonay Görgülü^{a; *} | Ersöz, Süleyman^a | Lüy, Murat^b | Türker, Ahmet Kürşad^a | Barışçı, Necaattin^c

Affiliations: [a] Industrial Engineering Kırıkkale University, Kırıkkale, Turkey | [b] Electrical and Electronics Engineering, Kırıkkale University, Kırıkkale, Turkey | [c] Computer Engineering, Gazi University, Ankara, Turkey

Correspondence: [*] Corresponding author. Sonay Görgülü Balcí, Industrial Engineering Kíríkkale University, Kíríkkale, Turkey. Tel.: +90 505 5068430; E-mail: sonaygorgulu@kku.edu.tr.

Abstract: It is known that in crowded environments such as educational institutions and workplaces, keeping indoor air quality and climate within certain limits contributes to success and production. For this purpose, a system has been developed to ensure air quality well-being in working environments. In our study, the Arduino processor managed by the fuzzy logic control system (FLC) starts to work with the trigger of the motion sensor HC-SR501. The inputs of the FLC system are defined as LM-35 sensor for temperature, DHT-11 for humidity, MQ-135 for air quality, MQ-9 sensor for CO and explosive gas. The designed system evaluates the instantaneous data obtained from the fuzzy logic system rule base and decides which of the output air filter, heater and alarm systems will operate at what speed. In order to increase system efficiency, fuzzy logic input membership values are optimized by genetic algorithm.

Keywords: Arduino, fuzzy logic, air quality, genetic optimization

DOI: 10.3233/JIFS-223955

Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 2305-2317, 2023