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http://hdl.handle.net/123456789/27172
Title: | IoT-Based Indoor Air Quality Monitoring System Using SAMD21 ARM Cortex Processor |
Authors: | Zaki Khaslan Noor Hidayah Mohd Yunus Mohd Shahrul Mohd Nadzir Jahariah Sampe Noorazlina Mohamad Salih Kemal Maulana Alhasa UniKL BMI |
Keywords: | Indoor air quality monitoring IoT technology Seeeduino Xiao microcontroller Sensor Web-based |
Issue Date: | 2022 |
Publisher: | Springer Science and Business Media Deutschland GmbH |
Citation: | Zaki Khaslan, Noor Hidayah Mohd Yunus, Mohd Shahrul Mohd Nadzir, Jahariah Sampe, Noorazlina Mohamad Salih, Kemal Maulana Alhasa (2022). IoT-Based Indoor Air Quality Monitoring System Using SAMD21 ARM Cortex Processor. Advanced Structured Materials, Volume 162, Pages 245-253, Springer, Cham. https://doi.org/10.1007/978-3-030-92964-0_24 |
Abstract: | In this paper, an IoT-based technology is demonstrated to efficiently monitor indoor air quality in real-time monitored online through Wi-Fi. The idea was derived from the issues of toxic gas poisoning that cause environmental pollution, general health as well as death due to excessive inhalation of toxic gases in a closed area. This paper proposed a device of air quality monitoring system which should be able to provide an alert for the presence of toxic gases effectively via any mobile applications. The device is composed of a SAMD21 ARM cortex processor as microcontroller, pollutant detection sensors and data transmit to a Web server. The device was designed to measure a concentration of carbon monoxide (CO) and temperature-humidity for monitoring the air quality. SD card has been integrated into a Seeeduino Xiao microcontroller for analyzing and visualizing the air quality data from the device. A Web-based mobile application was developed to monitor the air quality at anytime and anywhere. To demonstrate the feasibility, the device has been tested in three closed areas which are inside a room, inside a static car with burning fuel energy to power the car and a kitchen area that has cooking facility. The result indicates that CO gas produced from the kitchen area when the gas stove being used shows more than 63.75% and 82.5% compared to condition from inside a car and inside a room, respectively. Additionally, the device has been successfully implemented to provide notification for community to prevent from the areas that contaminated with toxic gases. |
Description: | This article is indexed by Scopus |
URI: | http://hdl.handle.net/123456789/27172 |
ISSN: | 18698433 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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3. IoT-Based Indoor Air Quality Monitoring System Using SAMD21 ARM Cortex Processor (Chapter).pdf | 435.18 kB | Adobe PDF | View/Open |
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