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Air-quality data from an M5Stack ATOM with MicroPython #MicroPython #IoT #InternetOfThings

LeMaRiva Tech’s tutorial connects an M5Stack ATOM running MicroPython to the Google Cloud Platform (GCP) to collect air-quality variables obtained from reading two sensors:

  • BME680: a gas sensor that integrates high-linearity and high-accuracy gas, pressure, humidity and temperature sensors.
  • PMSA003A: a digital and universal particle concentration sensor, which can be used to obtain the number of suspended particles in the air, i.e. the concentration of particles, and output them to a digital interface.

Spring in Europe has already started and many people are having allergy problems. Therefore, I thought of making a project to measure air quality and collect this data to train a model that can tell me, when is the best time to open my apartment windows to let some fresh air into the apartment and thus minimize possible allergy attacks and sneezing! Like almost everyone right now (thanks to COVID-19), I’m working from home and this beautiful photo (Fig. 1) shows the possible causes of allergies.

The tutorial covers the following:

  • Flash MicroPython on the M5Stack ATOM
  • Create an IoT device on GCP and its credentials to connect the M5Stack running MicroPython
  • Deploy the code on the M5Stack ATOM using Visual Studio Code
  • Run the application to collect data.

See the post and the video (also below).


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