WMW as part of an end-2-end solution:


Predictive Maintenance with Vibration Monitoring

Reduce downtime and maintenance costs with this AI-powered 24/7 turnkey IoT solution

 WMW can be used in multiple IoT business strategies. In this case, as part of an end-2-end solution together with industry leading eco-system partners.

In the IoT world, there are 3 elements that make up a good solution:

  • A device for a specific measurement

  • The data transportation mechanism

  • An analytics application showing you the
    info and allowing actions upon it.

     

We present the Predictive Maintenance Starterkit solution, ready to use, combining those 3 factors:

A self learning device with a management dashboard and a wireless distant connectivity setup

This Predictive Maintenance solution allows to analyze data from sensors measuring vibrations frequencies of machines and equipment in order to detect anomalous behavior and predict possible failures, therefore enabling industrial end customers to decrease machines shutdowns and work accidents while increasing performance and safety.

 

This evaluation starter kit provides you with the required hardware, software and connectivity service to assess this integrated plug-and-play solution.

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“BOB Assistant” IoT sensor 

  • 3 x Bob Device, EU868 / US915

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ThingPark Enterprise LoRaWAN® connectivity infrastructure 

  • 3 months subscription to ThingPark Enterprise SaaS service

  • 1 x Ufispace Enterprise Indoor Gateway

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WMW Application for data processing and analysis

 

  • 3 months subscription to the Predictive Maintenance Business Application

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This solution offers you 3 key benefits:

  1. Detecting machinery anomalous behavior.

  2. Predicting possible future failures.

  3. Decreasing machinery shutdowns and work accidents while increasing performance and safety.

Interested in this solution ?

Check Actility's market place:

Would you like to know more about WMW-Hub ? Check the rest of our website:

Would you like to become a WMW-Hub's partner ? Contact us.

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