Optimization of indoor thermal comfort values with fuzzy logic and genetic algorithm
[ X ]
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ios Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Arduino; fuzzy logic; air quality; genetic optimization
Kaynak
Journal of Intelligent & Fuzzy Systems
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
45
Sayı
2
