Building information modeling (BIM) with high level of detail and semantic information on buildings throughout
their lifetime are getting more and more important for stakeholders in the building domain. Currently, such models
are not yet present for the majority of today’s building stock. With increasing speed and precision of laser scans
or photogrammetry, geometric data can be acquired at reasonable costs. Unfortunately, these data are unstructured
and do not provide high-level semantic information, which stakeholder require for non-trivial workflows.
A current research topic are methods to extract non-visible structures from visible geometric entities. This work
uses domain specific geometric and semantic constraints to automatically deduce information that is not directly
observable in architectural objects: electrical power supply lines. It utilizes as-built BIM data from scans of indoor
spaces in order to provide a hypothesis of paths of electrical lines. The system assumes that legal requirements and
standards exist for defining the placement of power supply lines. This prior knowledge is formalized in a set of
rules, using a 2D shape grammar that yields installation zones for a given room.
Observable endpoints (sockets and switches) are detected in indoor scenes of buildings using methods from
computer vision. The information from the reconstructed BIM model, as well as the detections and the generated
installation zones are combined in a graph that represents all likely paths the power lines could take. Using this
graph and a discrete optimization approach, the subgraph is generated that corresponds to a probable hypothesis.
Our approach has been tested against synthetic and measured data and shows promising first results. Application
possibilities include generation of a probable wiring for as-built / optically acquired building model, or suggesting
cable ducts for a building reorganization or during planning of a new building.
|Title of host publication||Proceedings of the 16th International Conference on Computing in Civil and Building Engineering|
|Editors||Nobuyoshi Yabuki, Koji Makanae|
|Place of Publication||Osaka, Japan|
|Number of pages||8|
|Publication status||Published - Jul 2016|
|Event||16th International Conference on Computing in Civil and Building Engineering (ICCCBE) - Osaka International Convention Center, Osaka, Japan|
Duration: 6 Jul 2016 → 8 Jul 2016
|Conference||16th International Conference on Computing in Civil and Building Engineering (ICCCBE)|
|Period||6/07/16 → 8/07/16|
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition