Title :
Automated design of room automation systems by using an evolutionary optimization method
Author :
Oezluek, A. Cemal ; Dibowski, Henrik ; Kabitzsch, Klaus
Author_Institution :
Inst. of Appl. Comput. Sci., Dresden Univ. of Technol., Dresden, Germany
Abstract :
The design of room automation systems is a challenging task with growing complexity and a high optimization potential. On the market, a high number of prefabricated devices from different manufacturers is available for a large variety of functions. This leads to a high number of device combinations and many design variants respectively, that should optimally realize the requirements. To overcome this problem, an efficient and scalable solution method is needed, that can create multi-vendor designs with high quality. In this paper, a method that deals successfully with this objective is presented including test results. With the abstract design of the system and additional requirements given, it can synthesize optimal multi-vendor system designs by using an efficient evolutionary algorithm with directed operations.
Keywords :
building management systems; control system synthesis; evolutionary computation; evolutionary optimization method; optimal multivendor system designs; room automation systems automated design; Algorithm design and analysis; Buildings; Circuit testing; Cost function; Design automation; Design optimization; Evolutionary computation; Genetics; Manufacturing automation; Optimization methods;
Conference_Titel :
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Conference_Location :
Mallorca
Print_ISBN :
978-1-4244-2727-7
Electronic_ISBN :
1946-0759
DOI :
10.1109/ETFA.2009.5347070