An IoT Based Air Pollution Monitoring System for Smart Cities
https://www.researchgate.net/publication/334092485_An_IoT_Based_Air_Pollution_Monitoring_System_for_Smart_Cities
Air quality all around the world, and in cities especially, is decreasing and air pollution is cited responsible for millions of deaths per year worldwide, according to WHO. According to the article, the solution to this problem is smart cities and IoT air quality control devices that are, e.g. based on Raspberry Pi 3 Model B with sensors, a cloud data storage platform and an API/dashboard. With these sensors we can track qualities like temperature, humidity, carbon monoxide, smoke, gases and concentration of hazardous particular matter. The article is based around an Android app while the data is stored privately on ThingSpeak and is requested through the API through HTTP requests. The data stream is sensors (analog to digital converter depending on sensory output) -> Raspberry Pi -> ThingSpeak -> JSON format -> application.
Air quality all around the world, and in cities especially, is decreasing and air pollution is cited responsible for millions of deaths per year worldwide, according to WHO. According to the article, the solution to this problem is smart cities and IoT air quality control devices that are, e.g. based on Raspberry Pi 3 Model B with sensors, a cloud data storage platform and an API/dashboard. With these sensors we can track qualities like temperature, humidity, carbon monoxide, smoke, gases and concentration of hazardous particular matter. The article is based around an Android app while the data is stored privately on ThingSpeak and is requested through the API through HTTP requests. The data stream is sensors (analog to digital converter depending on sensory output) -> Raspberry Pi -> ThingSpeak -> JSON format -> application.
We think the article about IoT-based air pollution
monitoring system for smart cities was most interesting, as it is connected to our
own project’s topic of long-distance communications. IoT sensors need to be realiably
connected to the cloud storage for accessing and analyzing the gathered data.
With Raspberry Pis air quality monitoring can be implemented
easily and cost-effectively to buildings. This way people can be easily
notified of the current air quality conditions and take the needed action fast. The gathered data can also be used for research purposes in an effort to find ways to improve the air quality of cities.
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