Open AccessFuzzy logic-based improved ventilation system for the pharmaceutical industry
Author(s) -
Sabuktagin Rahman,
Mohammad Fazle Rabbi,
Omar Altwijri,
Mahdi Alqahtani,
Tasriva Sikandar,
Izzeldin Ibrahim Mohamed,
Md. Asraf Ali,
Kenneth Sundaraj
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.9985
Subject(s) - hvac , indoor air quality , adaptive neuro fuzzy inference system , air conditioning , fuzzy logic , ventilation (architecture) , computer science , air quality index , matlab , control engineering , fuzzy control system , toolbox , automotive engineering , real time computing , process engineering , environmental science , engineering , artificial intelligence , environmental engineering , mechanical engineering , meteorology , physics , programming language , operating system
Indoor air quality in pharmaceutical industry plays a vital role in the production and storing of medicine. Stable indoor environment including favorable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based intelligent ventilation system to control the indoor air quality in pharmaceutical sites. Specifically, in the proposed fuzzy inference system, the ventilation system can control the air flow and quality in accordance with the indoor temperature, humidity, air flow and microorganisms in the air. The MATLAB® fuzzy logic toolbox was used to simulate the performance of the fuzzy inference system. The results show that the efficiency of the system can be improved by manipulating the input-output parameters according to the user’s demands. Compared with conventional heating, ventilation and air-conditioning (HVAC) systems, the proposed ventilation system has the additional feature of the existence of microorganisms, which is a crucial criterion of indoor air quality in pharmaceutical laboratories.