IoT Based Plant Predictive Maintenance and Protection

If you gather a commissioning Plant, you could feel how people are frustrated and impatient both to achieve their project and keep it safe, reliable for more long time...

But, imagine failure or catastrophe happened. No matter if the calamity detected once before inaugural holiday or several years after. More, who care about to look after persons or causes responsible of that. No, seriously! Instead forensic -we are not against studying for prevent repeatedly phenomenon- it is more effective and secure to analyse, correct, diagnose and prevent failure once before this cause damage and environmental desaster.

Working in a Dam, 3 years ago, I powerlessly assisted in similar experience when engineers, experts and workers suggested uncountable hypothesis to explain insane and unsupportable noise carrying out from an hydroectric unit.

I choose this contest as a personal challenge to progressively suggest solutions thanks to IoT Avnet components and Branium OS in order to analysis how it is possible to use Microsoft Azure IoT to do Data acquisition before analysis, diagnose and solving problems occured.

We know how far from could be workers and experts and how it is sensitive to send large amount of data in for solution reliability.

Firstly, we begin our topic by mechanical aspect to looking for swash or precession when turbine is rotating. This, for prevent alternator from this anormal movement.

Lastly, we expect to assemble new feature with the same components (Avnet, Branium, Azure) to study hydraulic and electric ones to complete our project.

In conclusion, we expect to use simulation of all parts.