Predictive Maintenance on Industrial Turbines Explained via Duct Tape
Maarten Ectors
on 8 April 2015
Tags: Charms , dataart , DeviceHive , IIoT , Industrial , IoT , IoT World , predictive maintenance , Ubuntu Core
In the world of IoT all consultancy slides talk about predictive maintenance as being the “Killer Industrial IoT App”. However Dataart took the theory to a very easy to understand demo thanks to some duct tape. Via the use of a simple accelerometer and their open source DeviceHive solution on top of Snappy Ubuntu Core and Juju Charms anybody can build a predictive maintenance prototype involving industrial IoT, Cloud and Big Data easily. Their video shows how a balanced ventilator with an accelerometer gives a steady vibration pattern. However by attaching a bit of duck tape to one of the blades, there is a substantial increase in vibration that can easily trigger an alarm and as such kick-off a preventive maintenance workflow.
Canonical will be a platinum sponsor of IoT World. If you have a great IoT demo, then share it on the Snappy mailing list and your solution might make it to one of our demo pods on our booth…
Open source is what we do
We believe in the power of open source software. Besides driving projects like Ubuntu, we contribute staff, code and funding to many more.
Newsletter signup
Related posts
A look into Ubuntu Core 26: Cloud-powered edge computing with AWS IoT Greengrass and Azure IoT Edge
Welcome to this blog series which explores innovative uses of Ubuntu Core. Throughout this series, Canonical’s Engineers will show what you can build with...
Canonical launches Ubuntu Core 26
Ubuntu Core 26 introduces precise Linux builds, optimized OTA updates, live kernel patching, and enhanced hardware-backed protection for mission-critical...
Canonical expands Ubuntu support to next-generation MediaTek Genio 520 and 720 platforms
Canonical is pleased to announce the early access launch of Ubuntu 24.04 LTS for MediaTek’s Genio IoT platforms. Building on the companies’ strategic...