Intelligent Building SystemsSpringer Science & Business Media, 30 kwi 1999 - 175 Intelligent building is the future of our building industry; all commercial, residential, industrial and institutional buildings will be designed towards the goal of `intelligent buildings'. The most important aspect of an intelligent building is the building systems, such as electrical services, heating, ventilation and air-conditioning systems, vertical transportation systems, and life safety systems, which must operate intelligently and efficiently to enhance the activities of the occupants. Intelligent Building Systems explains what already exists in a modern intelligent building and describes what is currently being developed by researchers to improve human comfort, working efficiency and energy performance for buildings in the 21st century. Intelligent Building Systems is divided into three parts. The first part gives a quick review of the structure, terminology, layout and operating principles of most standard modern building systems. The second part introduces the background material necessary to understand intelligent building systems, including information on electronics technology, fundamental mathematics, and techniques in artificial intelligence and signal processing. These first two parts are the foundation for the final part, which consists of research works carried out by the authors and other researchers in the application of artificial intelligence to building systems. The technologies presented will encourage readers to envision new and innovative ideas on possible future applications. Intelligent Building Systems is relevant to practitioners and researchers in the area of architectural science and engineering, electrical and mechanical services and intelligent buildings. It may also be used as a text for advanced courses on the topic. |
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A₁ actuating air-conditioning algorithm application artificial neural network ASHRAE BACnet based control building automation building systems cables camera Chan W.L. chapter chilled water CIBSE circuit communication components computer vision defined detectors devices distribution down-peak electric power energy environment equation equipment error expert system filter frequency fuzzy controller fuzzy logic fuzzy numbers fuzzy set harmonics heat HVAC HVAC systems illumination input installed intelligent buildings ith floor k₁ K₂ lift car lighting linear load luminaires luminous main terminal maintenance matrix membership function microprocessor minimisation module monitoring node normal number of passengers operation optimal optimisation output parameters PID controllers pixel plant relative humidity room temperature rule satellite self-learning fuzzy controller sensors shown in Figure signal static fuzzy controller supply air traffic transmission Unsupervised learning up-peak variable vector voltage zone
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