2016 Central European Symposium on Building Physics
Abstract
In this work we present the architecture and a reference
implementation of a software tool to automate
the configuration and deployment of services for fault
detection and diagnosis which can assist to improve
operational building performance. We use an ontology
as an intermediate meta-data layer to integrate the
BIM information and the static BMS data required to
automate this process. The contribution aspect resides
in the demonstration of the approach which is based
on the core concept of a tailored pairing of a fault
detection and diagnosis service and an ontology query
specifically designed by experts. Suggestions for
the architecture are provided on how to embed the
ontology in the overall framework.
We present results from a first prototype to detect
faults in real trend data of an air handling unit using
rule-based analytics