Time for service

Customer:

Manufacturer of feeding equipment for domestic animals

 

Users:

Service departments 

Problem/Challenge 

Today, service visits are planned by a calendar, meaning that one visit is planned for a year. The challenge with this is that for some customers, one visit is not enough and for others it is too much. 

 

Solution 

We collect data regarding hours of operation as well as about engines, power consumption and vibrations on the primary engines. Based on the collected data, service visits can be planned based on need, just like the chance of bringing the correct spare parts will increase.

Specifications:

  • Raspberry Pi with specific sensors for the problem
  • Data collection from several machines
  • Accumulation of data in case of disconnection to the internet
  • Data analysis across machines
  • Geofencing
  • Development of front-end for handling of customers, profiles and units 
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