Semantic Data Model for Fault Detection in Buildings

Algorithms using building operation data can detect and identify faulty settings in technical building systems. Therefore, a comprehensive knowledge about the technical systems, their operation and data points is necessary. Using semantic information models to describe this knowledge allows an automatic linking of fault detection algorithms and measured data. In the developed information model additionally control logic and its connection to technical systems is described.