GCP getting air-quality data from an M5Stack ATOM

Getting air-quality data on GCP from an M5Stack ATOM running MicroPython

Mauro Riva

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Description

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 probable causes of allergies.
This tutorial is about connecting an M5Stack ATOM running MicroPython to the Google Cloud Platform (GCP) to collect air-quality variables obtained from reading two sensors.

Details

This tutorial is about connecting 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.

Check out the complete tutorial here: https://lemariva.com/blog/2020/04/micropython-google-cloud-platform-getting-data-m5stack-atom-sensing-air-quality