Design of an IoT- based System for Air Pollutants Monitoring Conference Paper uri icon

Abstracto

  • ABSTRACT
    Panama has presented an important population growth in recent years, mainly due to its economic, tourist and industrial development. This demographic growth  has boosted the socioeconomic development of the country. However, both population growth and industrial growth have produced harmful consequences by  increasing the levels of soil, water and air pollution in this country. Since air pollution is one of the most dangerous kind of pollution there are, due to its rapid  spread and health risk, Panamanian institutions and ecological groups are looking for solutions to control it. In this article, a remote air pollution monitoring  system based on IoT networks is proposed to provide the necessary information to determine in real time the level of pollution in the central region of Panama. This system is seen as a technological tool available to the public that helps to all those who are in charge of the environmental study and for the preparation of pollution reduction plans. The proposed system consists of small air pollutant monitoring stations distributed in the most populated regions of Panama. Each  station is made up of pollutant sensors such as O3, CO, SO2, among others, which will be connected to a microprocessor that will send the collected data to a 
    database. The electronic and mechanical components of the station prototype were developed by our research group. The level of efficiency of the measurements  was validated using the commercial air pollution measurement equipment AEROQUAL: 500 Series. These tests were performed in both scenarios:  controlled laboratory setting and the field. The results will be processed and displayed on an online platform that will be available to the public. Among the expected results is the generation of data and graphs that show the levels of contamination in a specific region, as well as tables where the amount of contamination is compared with respect to the size of the population and / or different regions that are monitored. 

fecha de publicación

  • 2021

Palabras clave

  • Air pollution
    IoT
    environmental monitoring
    monitoring network
    sensor network