Automatically enabled analytics in buildings and smart homes.

Building analytics are critical for detecting faults, initiating appropriatemaintenance actions and ensuring a faultless and energy-efficient operation. Their setup however is cost-expensive, as it requires considerable effort of qualified engineers. Besides that, analytics are typically equipment-centric, but unaware of other parts of a building and how things are interrelated. To improve that, this article presents a knowledge-based approach that is based on a rich ontology model for Building Automation System (BAS). Complemented by a specification of the analytics, an automatic setup of analytics can be enabled. Furthermore, a fault propagation approach is presented that can determine how faults propagate in BAS. It can interrelate and combine the analytics and create an overall picture and improved comprehension of BAS and their behavior.