Indoor Air Quality (IAQ) Sensing Device Prototype: Software-Hardware Architecture and Performance

Nor Azhar, Ahmad and Rahmah, Mokhtar and Roslina, Abd Hamid and Fauziah, Zainuddin (2019) Indoor Air Quality (IAQ) Sensing Device Prototype: Software-Hardware Architecture and Performance. In: IOP Conference Series: Materials Science and Engineering, Joint Conference on Green Engineering Technology & Applied Computing 2019 , 4-5 February 2019 , Bangkok, Thailand. pp. 1-6., 551 (012047). ISSN 1757-899X

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In a green environment, air quality is among the prominent aspects to be considered to prevent pollution and in turn maintain safe air. Sick Building Syndrome (SBS) and Building Related Illness (BRI) are the problems that must be encountered by building occupants. Existing devices are quite expensive, and more attention is needed on monitoring air quality. Therefore, this paper discusses a software-hardware architecture proposal to overcome the existing IAQ data retrieval performance problem. The objective of this work is to analyse the most recent IAQ sensing device developed by the researcher, to evaluate the performance attribute, and to implement the software-hardware architecture based on the Performance-Driven Software Architecture Refactoring (PDSAR) method. In order to assess the overall performance of the architecture proposed, the prototype of the Indoor Air Quality (IAQ) sensing device was developed. The testing was performed during a period of six months. The results demonstrate that the average performance for 540 readings is 76.67%. This shows that the architecture can be accepted as a generic IAQ sensing device development structure. The device act as an alternative, cheaper and safer device which can be employed by all building owners in the future.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Indoor Air Quality (IAQ); Sensing Device Prototype
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mr. Nor Azhar Ahmad
Date Deposited: 17 Dec 2019 08:17
Last Modified: 17 Dec 2019 08:17
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