Brewing Eisbock Using Windows IoT Core and Azure Services
summary
Open-source TemperatureStation pairs a Raspberry Pi running Windows IoT Core with one-wire temperature probes, sending readings to Azure IoT Hub and Stream Analytics (tumbling windows: demo 20s, typical 15min) into Power BI and SQL for visualization. Uses Newton’s law of cooling to predict when ice-fraction forms so water can be removed and ABV rises (example: an 8% beer concentrated toward ~12%). Device reads every 20s (reading too fast crashed the Pi), backend-offload makes the system stable and the emulator demo works.
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chapters (13)
- 0:00Start
- 1:19Agenda
- 2:15Support materials
- 3:48What can home brewers measure?
- 4:52The Legend of Eisbock
- 10:29Ideal solution
- 13:02Newton's Law of Cooling
- 15:08Connecting pieces together
- 22:17Models
- 23:04Azure lot Hub
- 24:56Stream Analytics
- 26:10Power BI
- 29:12UWP Application
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