A DIY IoT Project | Tutorial Thursdays Ep. 4 | Manufacturing Analytics

In modern linked world, it is really less complicated than at any time to start off accumulating data from your products. For this week’s installment of Tutorial Thursdays, we have a bit of particular episode in store. Employing the lockdown period to get the job done on a small DIY challenge, we have wired up some sensors to a Raspberry PI. From there, we streamed the measurement knowledge to Software package AG’s IIoT system, and marketplace chief, Cumulocity. Eventually, we picked up the information in TrendMiner and tried to make some sense of our condominium info :-).

As promised, the information can be downloaded listed here if you want to observe alongside with us:

– 2020R1 or newer: https://push.google.com/file/d/1N-_AvEWaTDzAoYZ4CadJ6-IjekBEl0o8/watch?usp=sharing
– 2019R3 or older: https://drive.google.com/file/d/1I-lCq1jSz-o-OG9HtuWmug0aRx6meBCj/perspective?usp=sharing

Continue to be safe out there expensive TrendMiners!

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📘INDEX:

00:28 – The DIY setup explained
02:35 – Working with the light-weight sensor data to assess working day/night time designs
08:01 – Lowering the electricity bill by fingerprinting massive temperature adjustments
15:04 – Predicting the barometric tension by fitting a product

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🔗LINKS

Phase-by-action explanation of the DIY setup
► https://medium.com/@mr.motski/condominium-checking-a-diy-challenge-57ec32fbf9f9

Program AG’s Cumulocity
► https://www.softwareag.cloud/web site/solution/cumulocity-iot.html

Video clip modifying – Charlotte Hansen
► https://www.fiverr.com/charlottehansn

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