Contributions to Proceedings:
O. Icoglu, A. Mahdavi:
"A vision-based sensing system for sentient building models";
in: "CIB W78 22nd Conference on Information Technology in Construction",
R.J. Scherer, P. Katranuschkov, S. Schapke (ed.);
22nd Conference on Information Technology in Construction, Institute for Construction Informatics, Technical University of Dresden,
The quality and cost effectiveness of services in the building industry possess high potential for improvement. A possible approach to bringing out this potential is to conceive buildings as sentient entities that contiuously adapt to changes in environment and occupancy. To achieve real-time building operation support and to avoid bottleneck situations resulting from manual model input and updating activities, the underlying model must possess the capability to autonomously update itself. This requires a versatile sensing mechanism that provides real-time facility state information. The research described in this paper aims to demonstrate the potential of vision-based sensing solutions to support the operations of sentient buildings. Toward this end, a system prototype has been implemented that focuses on building systems control (lighting). The resulting arrangement of required hardware and software components (tied together via internet) provides a flexible and self-adapting structure, which is highly suited to the requirements of control applications for sentient buildings.
Created from the Publication Database of the Vienna University of Technology.