Fuzzy logic-based improved ventilation system for the pharmaceutical industry
Indoor air quality in pharmaceutical industry plays a vital role in the product ion and storing of medicine. Stable indoor environment including favourable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based in...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Science Publishing Corporation
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/29354/1/Fuzzy%20logic-based%20improved%20ventilation%20system%20for%20the%20pharmaceutical.pdf |
| _version_ | 1825813505442316288 |
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| author | Rahman, Sam Matiur Mohammad Fazle, Rabbi Altwijri, Omar Alqahtani, Mahdi Tasriva, Sikandar Izzeldin, I. Mohd Ali, Md. Asraf Sundaraj, Kenneth |
| author_facet | Rahman, Sam Matiur Mohammad Fazle, Rabbi Altwijri, Omar Alqahtani, Mahdi Tasriva, Sikandar Izzeldin, I. Mohd Ali, Md. Asraf Sundaraj, Kenneth |
| author_sort | Rahman, Sam Matiur |
| collection | UMP |
| description | Indoor air quality in pharmaceutical industry plays a vital role in the product ion and storing of medicine. Stable indoor environment including favourable 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. |
| first_indexed | 2024-03-06T12:45:01Z |
| format | Article |
| id | UMPir29354 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:45:01Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| record_format | dspace |
| spelling | UMPir293542022-11-07T09:24:38Z http://umpir.ump.edu.my/id/eprint/29354/ Fuzzy logic-based improved ventilation system for the pharmaceutical industry Rahman, Sam Matiur Mohammad Fazle, Rabbi Altwijri, Omar Alqahtani, Mahdi Tasriva, Sikandar Izzeldin, I. Mohd Ali, Md. Asraf Sundaraj, Kenneth TK Electrical engineering. Electronics Nuclear engineering Indoor air quality in pharmaceutical industry plays a vital role in the product ion and storing of medicine. Stable indoor environment including favourable 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. Science Publishing Corporation 2018 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/29354/1/Fuzzy%20logic-based%20improved%20ventilation%20system%20for%20the%20pharmaceutical.pdf Rahman, Sam Matiur and Mohammad Fazle, Rabbi and Altwijri, Omar and Alqahtani, Mahdi and Tasriva, Sikandar and Izzeldin, I. Mohd and Ali, Md. Asraf and Sundaraj, Kenneth (2018) Fuzzy logic-based improved ventilation system for the pharmaceutical industry. International Journal of Engineering & Technology, 7 (2). pp. 640-645. ISSN 2227-524X. (Published) https://doi.org/10.14419/ijet.v7i2.9985 https://doi.org/10.14419/ijet.v7i2.9985 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Rahman, Sam Matiur Mohammad Fazle, Rabbi Altwijri, Omar Alqahtani, Mahdi Tasriva, Sikandar Izzeldin, I. Mohd Ali, Md. Asraf Sundaraj, Kenneth Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title | Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title_full | Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title_fullStr | Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title_full_unstemmed | Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title_short | Fuzzy logic-based improved ventilation system for the pharmaceutical industry |
| title_sort | fuzzy logic based improved ventilation system for the pharmaceutical industry |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/29354/1/Fuzzy%20logic-based%20improved%20ventilation%20system%20for%20the%20pharmaceutical.pdf |
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