Abstract
Building Information Modeling (BIM) is today one of the most promising approaches to achieve digitalization in the construction industry over the complete building life cycle. Meanwhile most of the projects in research, industry or public authorities focus on the planning or construction phase, the practical usage of BIM in operational phase within Facility Management (FM) is still rare. Despite of the well agreed benefits of using BIM in the operations to improve maintenance planning and control, ensure speed up of FM hand over from construction or improve start-up management of building operations to name three of them, serious obstacles for practical use of BIM in FM must be considered. Just to mention two of them, today accepted standards helping FM organization to setup their BIM requirements according to different BIM uses are missing or As-Built information of existing buildings to setup digital building model needed for BIM are not available.
The lack of exiting (3D) digital building models in FM will not change quickly; far more the 90 % of the buildings to be operated and maintained in FM business are existing buildings. The acquisition of As-Built information may be simplified by digital surveying methods (e.g. 3D Laser Scanning, Aerial photo capturing by Surveying Drone), but there is still an enormous amount of effort for parametric modelling needed to setup digital building models for FM, which cannot be achieved by typical FM organizations today.
This paper extents first results of the research project BIM-FM presented on INservFM in 2017 comparing different digital surveying technologies used in field tests and to optimize workflow to make digital building models of existing buildings available for FM purposes. In order to give FM organization access to BIM data over a long period of building operation, new concepts of data management based on semantic web technologies to link BIM data to existing alphanumeric information located in Computer Aided Facility Management (CAFM) systems be discussed.
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