Publicação
CityIOT: Air quality in the city supported by an IoT ecosystem
| Resumo: | Air pollution is a worldwide problem, which affects millions of people and can have serious consequences for public health, economy and for social issues. Constant emissions of gaseous pollutants, as a result of industrial operations, combustion of fossil fuels and forest fires, affect air quality and contribute to an increase in this type of pollution. Internet of Things (IoT) has emerged as a response to the creation of intelligent monitoring systems that can be used for management and identification of pollution sources, and for health protection. The development of new equipment and communication technologies has allowed the creation of real-time air quality monitoring applications. This dissertation presents an implementation of an IoT system for monitoring outdoor air quality, based on a multisensory system with LoRa communication capabilities. The system incorporates low-cost sensors capable of detecting different air pollutants, as well as atmospheric parameters, such as temperature and relative humidity. To achieve a long-distance transmission of readings with low energy consumption, the use of LoRa technology was adopted. The frequency of sending readings to the network is based on the level of urban traffic in a certain location. Furthermore, a web/mobile application is presented, which allows the user to monitor in real time and to carry out a temporal analysis of the measurements taken by the system. |
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| Autores principais: | Morgado, Gonçalo Franco |
| Assunto: | Sensores inteligentes -- Smart sensors Internet das coisas -- Internet of things Outdoor air quality LoRaWAN Smart monitoring Web/Mobile app Qualidade do ar exterior Monitorização inteligente Aplicação web/móvel |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | Air pollution is a worldwide problem, which affects millions of people and can have serious consequences for public health, economy and for social issues. Constant emissions of gaseous pollutants, as a result of industrial operations, combustion of fossil fuels and forest fires, affect air quality and contribute to an increase in this type of pollution. Internet of Things (IoT) has emerged as a response to the creation of intelligent monitoring systems that can be used for management and identification of pollution sources, and for health protection. The development of new equipment and communication technologies has allowed the creation of real-time air quality monitoring applications. This dissertation presents an implementation of an IoT system for monitoring outdoor air quality, based on a multisensory system with LoRa communication capabilities. The system incorporates low-cost sensors capable of detecting different air pollutants, as well as atmospheric parameters, such as temperature and relative humidity. To achieve a long-distance transmission of readings with low energy consumption, the use of LoRa technology was adopted. The frequency of sending readings to the network is based on the level of urban traffic in a certain location. Furthermore, a web/mobile application is presented, which allows the user to monitor in real time and to carry out a temporal analysis of the measurements taken by the system. |
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