Short description: An application is needed that adaptively calculates required maintenance and repair tasks based on pre-defined measured values (full load hours, temperature etc) and standard values (material fatigue, wear and tear etc) and then visualises the tasks in a 3D building model (based on BIM data).
Market potential: With increasing requirements for energy efficiency and rising energy prices, the market potential for solutions which improve the operation of large buildings is very high.
Timing: Solutions are welcome as soon as possible.
Desired result: The application enables the building management to dynamically extend maintenance intervals depending on the actual load and environmental conditions. It thereby allows to plan the necessary downtimes in advance based on this database and help to prevent unexpected interruptions of operation.
Information on challenge owner: Mid-size SME (50-259 staff).
Market presence of challenge owner: Active in one country.
Keywords: Predictive Maintenance; Big Data; Building Information Modeling (BIM); Energy efficient buildings; 3D building model
