Success Story Predictive Maintenance
automatic coverage of critical and semi-critical incidents
- One of our customers uses a large number of buildings, machine halls and numerous peripheral facilities with over 100 rooms
- While some areas are frequently occupied, some rooms are only visited rarely
- In the given case, a window in an adjoining room was tilted in late summer and not closed again in accordance with regulations
- At night, when the temperatures were well below the freezing point after a change in the weather, the temperature in the room dropped significantly – with a tendency to values below 0 °C
- As soon as the temperature in the room dropped noticeably below 10 °C, the AI alerted the control center so that freezing and bursting of water-carrying pipes could be prevented
- The temperature in the rooms can vary greatly depending on the use.
- Theoretically, conditions valid for all areas can be defined and an alarm can be triggered in case of a violation
- However, this is a manual process that cannot cover all scenarios. This approach is therefore blind to non-predefined risks
- No rules need to be defined for our AI, they are learned automatically
- The specific use of each facility and each room is mapped
- The AI is permanently improved by user-specific knowledge. With just a few entries, additional user-defined rules are created and applied throughout the building
Processes and systems are getting more and more complex in order to keep up with the latest requirements for efficiency and comfort. The AI of mi solutions helps to keep an overview of machines and processes. This also includes events that are not detected by manufacturer-specific procedures or that have been omitted in the identification of possible causes of faults.
The existing sensor technology is fully utilized to make processes more reliable and ensure a smooth workflow.
Carlos Ayala Jiménez
Telefon: +49 1516 2 60 74 21