Underwater Arduino Data Loggers
Description: A discussion forum for everyone interested in air pollution in India
Around August of last year, the time-series database I was using, TempoIQ, announced that they were not offering their data ingestion and storage plans any more. During the 2 week grace period until their server-shutdown, I looked through other alternatives to TempoIQ, such as Influx Data, RethinkDB, and finally AT&T M2X. I eventually picked AT&T M2X because I was able to write to the database via http as well as https, which is useful for low powered microcontroller platforms. Furthermore, it was the most
I use the Python client library found here to interact with the AT&T M2X API for my data analysis (pulling from M2X and pushing to plot.ly), and the Arduino client library found here in order to push my data from the Particle Photon to the cloud. It took some time to familiarize myself with the new API, but I found it to be quite intuitive and useful!
The latest version of the PICKLE is comprised of a Plantower PMS5003 laser air quality detection sensor module (14$) and a Particle Photon (the microcontroller with built-in Wifi and a cloud service). As the data (LPO) is fed into the Photon, the microcontroller pushes the data to the M2X database as well as the Particle cloud. The Particle cloud plays an integral role in this setup because it makes it very trivial to manage multiple monitors simultaneously. For example, if I have 20 of these modules deploy
Underwater Arduino Data Loggers