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The AirQuality Lab: How To Work With IoT Sensors

IoT Sensor: The AirQuality Lab


Want to learn about the Internet of Things and how to work with a sensor? I did too! I’ve been experimenting with the “Internet of Things” (IoT) since 2014 and have learned about the challenges with my sensor project: the AirQuality Lab. In the beginning, I just wanted to create something and work with the components. The scope of my side project was to read values from a sensor, transfer it to a thing-backend and then learning from the data. This post starts with the basic setup of the Thing and the following posts will cover further points.

After finishing a project in late 2014, I played around to learn a bit more about the Internet of Things (IoT) stuff for my next project. So, it was (and is) proposed, that “everything is connected in 2020” and I had to think about a product, product strategy and technical implementation in this area. Our thoughts about a domain model for IoT at this time was, to reduce everything to a source and a drain. Well, as hardware is cheap (but this is not all) I bought a Raspberry PI, a bunch of sensors and a small LCD display. Inspired by the CubeSensors, I wanted to measure air quality with the sensors and work with the derived data. This should help to understand how things process data, how to transfer it, how to analyze and derive information from it. I started the AirQuality Lab.

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Raspberry Pi GPIO mit XMPP

Seit einiger Zeit liegen in meiner Schublade zwei Raspberry Pi herum. Die Zeit war reif, endlich etwas damit zu machen. Zunächst wollte ich etwas mit den General-Purpose-Input-Output (GPIO) spielen. Danach dachte ich jedoch, dass es doch mehr Spaß machen würde, wenn ich das Ganze mit XMPP verbinden kann. Dies ist dabei heraus gekommen.

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