ITcon Vol. 14, pg. 724-735,

Constraint-based adaptation for complex space configuration in building services

submitted:March 2009
revised:July 2009
published:October 2009
editor(s):Rezgui Y, Zarli A, Hopfe C J
authors:Benachir Medjdoub, Dr
School of the Built Environment, University of Salford, UK
summary:In this paper an object-based CAD programming is used to take advantage of standardization to handle the schematic design, sizing and layout planning for ceiling mounted fan coil system in a building ceiling void. In order to deal with more complex geometry and real building size, we have used a hybrid approach combining case-based reasoning and constraint programming techniques. Very often, building services engineers use previous solutions and adapt them to new problems. Case-based reasoning mirrors this practical approach and did help us deal effectively with increasingly complex geometry. Our approach combines automation and interactivity. From the specification of the building 3D BIM model, our software prototype proceeds through four steps. First, the user divides the building into zones, each zone being defined by a geometrical primitive (i.e. rectangle zone, triangle zone, curved zone, etc.). Next, for each zone a similar case is retrieved from the case library. The retrieval process will generate a first incomplete 3D solution containing some inconsistencies. Next, the incomplete solution is adapted, using constraint programming techniques, to provide a consistent solution. Finally, distribution routes (i.e. ducts and pipes) are generated using constraint programming techniques. The 3D fan coil solution can be modified or improved by the designer, while providing further contribution by concentrating on interactivity. The project has been funded by the Engineering and Physical Sciences Research Council (EPSRC) in the UK.
keywords:hybrid system, constraint-based adaptation, case base reasoning, design process, interactivity
full text: (PDF file, 1.057 MB)
citation:Medjdoub B (2009). Constraint-based adaptation for complex space configuration in building services, ITcon Vol. 14, Special issue Building Information Modeling Applications, Challenges and Future Directions, pg. 724-735,