Use the Raspberry Pi 2 with Windows 10 IoT, Azure and Power BI to visualize data. by Mohit Srivastava via cloudmouth
In my previous post, I covered the data collection and analysis side of IoT – but without actually using an IoT device. In this post, I use some of the same backend technologies but with a real IoT device, the Raspberry Pi 2 Model B! While individual steps may be covered elsewhere, this post stitches together the entire end-to-end.
The first step was identifying something in the physical world I wanted to understand better. A number of things came to mind:
Effectiveness of the heating in my house: It feels like the heat in my basement does not work that well. Is this accurate, and does indeed the indoor temperature fluctuate with the outdoor temperature?
Correlation between how well my son sleeps and the internal weather conditions (temperature and humidity): We get plenty of advice on how warm and humid to keep my son’s nursery. Is there a correlation between these conditions and how well he sleeps?
Whether I left the lights or stove on: Can I preempt my house burning down? 🙂
Whether a bulb is fused: There are a number of lights I have on timer or don’t check that often. Can I confirm the lights are coming on as expected and get notified when they burn out?
Fuel economy impact of different routes to work and my driving style: How much do my driving choices really impact fuel economy?
For this exercise, I’ve gone with the first one. I can do that with just one Raspberry Pi, and it is all indoor. Some of the other ones would have required different physical devices. The one about my son’s sleep would require also using the API for my Nest Cam. And, the one around driving would probably require a device that connects to my car’s OBD-II system. That said, my single Raspberry Pi is effectively acting as two devices – sending the indoor temperature from its sensor (myBmp280) and sending the outdoor temperature using the OpenWeatherMap service (bellevueSensor).
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