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Development of a LoRa-Based System for Air Quality Measurement

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1104))

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Abstract

Pollution is becoming a commonplace term, which our ears have become accustomed to. There are various forms of pollution. Air pollution is one of those forms that refers to the contamination of the air, regardless of whether it is inside or outside. Recently, several systems have been deployed using a number of low-cost sensors via a wireless Internet of Things (IoT) technology for collecting data. The aim of this work is developing a system permitting the measurement of the following parameters: temperature, humidity, PM2.5, PM10, CO, and CO2. The main outcome of this research is supervising the air quality of Tangier using a device composed of gas and temperature sensors, and visualizing these data in a website. This website contains an interactive map in which markers are displayed. For each marker we display a pop-up containing the position, the gas rates, the temperature and the humidity.

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Correspondence to Sara Haffane .

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Haffane, S., Azyat, A., Hamdoune, S., Astito, A. (2020). Development of a LoRa-Based System for Air Quality Measurement. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-030-36671-1_21

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