Nor Saradatul Akmar, Zulkifli and Mohammad Ridwan, Satrial and Mohd Zamri, Osman and Nor Syahidatul Nadiah, Ismail and Muhammad Rusydi, Muhammad Razif (2020) IoT-Based Smart Environment Monitoring System for Air Pollutant Detection in Kuantan, Pahang, Malaysia. In: IOP Conference Series: Materials Science and Engineering, The 6th International Conference on Software Engineering & Computer Systems , 25-27 September 2019 , Pahang, Malaysia. pp. 1-11., 769 (012014). ISSN 1757-899X
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29. IoT-Based Smart Environment Monitoring System for Air Pollutant Detection.pdf Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Air pollution is one of the pollutions that release harmful chemicals and if not controlled, it will affect the human respiratory system. Currently, there are two Air Pollution Monitoring system located in Kuantan district to record the pollution’s reading once it detects the air pollutant however, the origin of the pollution cannot be detected by the system. As a solution, a Smart Environment Monitoring System for Air Pollution Using Internet of Things (IoTs) is developed to overcome the weaknesses. This project involved both hardware and software developments, in which hardware development includes the Arduino Uno, Carbon Monoxide (MQ 7), smoke/gas (MQ 135) sensors, a buzzer and LCD display. This system is design so that the current reading can be viewed by admin in a real-time value. Besides, they can also view the data for every 8 hours. These data can be printed in PDF format. In addition, when the reading reached unhealthy value, it will warn the community via its alarm system embedded in this system. However, this system is subject to limitation especially on data delays from sensors to database. As only one existing monitoring system that located at Beserah, thus this new feature will add a sub-sensor that located at the designated area which potentially expose to the air pollution.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Internet of Things; Air Pollution Monitoring; Carbon Monoxide; Sensors; GSM Module; Arduino |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computing |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 19 Nov 2020 07:44 |
| Last Modified: | 19 Nov 2020 07:44 |
| URI: | http://umpir.ump.edu.my/id/eprint/29738 |
| Download Statistic: | View Download Statistics |
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