Predictive Maintenance on Industrial Turbines Explained via Duct Tape

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…

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Maarten Ectors is responsible at Canonical for Internet of Things, the next-generation of networking and cloud solutions that are in proximity of the user or at the edges of the network. Previously he was strategy director for cloud, big data and IoT. Maarten reports to Mark Shuttleworth, the founder of Canonical.

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