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P.1.12 Particulate matter measurement system using low cost sensor and internet of things
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  1. Seunghon Ham,
  2. Seong-Kyu Kang
  1. Department of Occupational and Environmental Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

Abstract

The Internet of Things (IoT) is an important keyword in the Fourth Industrial Revolution. IoT is expected to have a massive impact for human being, but these are still early days. IoT enables these objects to collect and exchange data through the wireless network, such as devices, vehicles, buildings, and other items that include electronic devices, software, sensors, and network connections. IoT is a technology that can be used and expanded in various applications such as industrial, manufacturing, medical and consumer products and so on. This research focuses specifically on the development of measurement systems for particulate matter using IoT technology for occupational as well as environmental settings. Currently, the government is providing the concentration of particulate matter (PM2.5/10) hourly. However, it is difficult to reflect personal exposure because it is installed on the top of a building. Therefore, this study shows development of the particulate matter measuring system using IoT and obtains the personal measurement data of the particulate matter. Also, to provide a further insight, we will also present how particulate matter measurement system works by showing some measurements collected with an experimental testbed deployed in our research group. Still, it is necessary to improve the quality of system and the convergence between pollutant measurement including particulate matter and IoT can provide new opportunities for occupational and environmental particulate matter measurement system.

Acknowledgement This work was supported by Gachon University research fund of 2018(GCU-2018–5259) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science, ICT) (No. NRF-2017R1C1B1002717).

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