An Ontology Framework for Rule-based Inspection of eeBIM-systems

AbstractSimulations enable detailed studies about the behavior of the building for optimizing the energy-efficiency. While this is an absolute advantage there are also problems regarding the daily work of experts because the simulations costs much time and before simulations can be done the configuration can be very huge and the pre-processing erroneous. To overcome these problems an eeBIM-ontology-based (Energy Enhanced BIM) framework is proposed applying inference rules to pre-check the input data and to pre-analyse the energy performance, before the simulation phase will start. The ontology specification provides concepts and relations to describe the building, the external data like the climate data as well as the linking between the BIM-concepts and the external data. Furthermore, constraints and calculation methods are transferred as far as possible into logical rules. The surrounding ontology platform enables the integration of the input data and manages the execution of the calculation methods. It also defines external connection points for calculation methods, which cannot appropriate represented in rules