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Author: search.filters.author.Jamjareegulgarn, PunyawiSubject: search.filters.subject.NB-IoT

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    A Development on Air Pollution Detection Sensors based on NB-IoT Network for Smart Cities
    (2018-12-24)
    Duangsuwan, Sarun
    ;
    Takarn, Aekarong
    ;
    Jamjareegulgarn, Punyawi
    Currently, air pollution is a big problem for people health in cities that suffered from the more factors such as the traffic, industrial, or forest fire or polluted skies. This paper presents a development of air pollution detection sensors and monitoring for smart city, Thailand 4.0. The development is designed by using five standard sensors such as carbon dioxide: CO, ozone: O <inf>3</inf> , particulate matter: PM <inf>10</inf> , nitrogen dioxide: NO <inf>2</inf> , and sulfur dioxide: SO <inf>2</inf> respectively, and web monitor shows the graph of the air quality index (AQI). To monitor the air quality, the data processing is computed by using Arduno MEGA 2560 and Respberri Pi 3 to connect with Narrowband Internet of Things (NB-IoT) module network. Experimental setup, the measurement location is examined at Sai Mai District, Bangkok. As the result, we found that the AQI level of measured location is good air quality. We emphasize that the monitoring of air pollution in smart cities is very important.
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    A Study of Air Pollution Smart Sensors LPWAN via NB-IoT for Thailand Smart Cities 4.0
    (2018-08-06)
    Duangsuwan, Sarun
    ;
    Takarn, Aekarong
    ;
    Nujankaew, Rachan
    ;
    Jamjareegulgarn, Punyawi
    The problem of air pollutant has to improve urgently, in particular, approach to smart city in 2024 of Thailand 4.0. This paper presents a development of smart sensors of air pollution to monitor the air quality in smart city. We propose the smart sensors that consist of the particulate matter (PM<inf>10</inf>) or dust sensor, carbon monoxide (CO), carbon dioxide (CO<inf>2</inf>), noise level (dB), and ozone (O<inf>3</inf>) respectively. These sensors are solution of a low power wide area network (LPWAN). In the experiment, the measurement has been investigated in Bangkok metropolitan, and the results show air quality index (AQI) via Norrowband Internet of Things (NB-IoT). The proposed of this paper can help the people know the real-time air quality via IoT as a service.