Springer Book Archives

1 Introduction to Intelligent Building.- 1.1. Introduction.- 1.2. The Definition of IB in U.S.A..- 1.3. The Definition of IB in Europe.- 1.4. Existing Definitions of IB in Asia.- 1.5. A New Definition of IB for Asia.- 1.6. Cost Analysis of IB.- 1.7. Conclusion.- 1.8. References.- 2 Heating, Ventilation and Air-Conditioning.- 2.1. Introduction.- 2.2. Human Comfort.- 2.3. Comfort Air-conditioning.- 2.4. Classification of Air-conditioning Sub-systems.- 2.5. Air-conditioning Systems.- 2.6. References.- 3 Electrical Installation and Illumination.- 3.1. Introduction.- 3.2. Terminologies in Electrical Power Engineering.- 3.3. Electric Power Transmission to Buildings.- 3.4. Electric Power Systems in Buildings.- 3.5. Electric Power Quality in Buildings.- 3.6. Lighting Systems in Buildings.- 3.7. References.- 4 Vertical Transportation Systems.- 4.1. Introduction.- 4.2. Structure of a Lift.- 4.3. Lift Drives.- 4.4. Lift Traffic Analysis.- 4.5. Supervisory Control.- 4.6. Remote Monitoring.- 4.7. References.- 5 Fire Protection Systems.- 5.1. Introduction.- 5.2. Types of Fire Services Installations.- 5.3. Automatic Fire Alarm and Detection.- 5.4. Sprinklers.- 5.5. Hose Reels and Hydrants.- 5.6. Foam Systems.- 5.7. Microprocessor Based Fire Alarm Systems.- 5.8. References.- 6 Security and Safety Systems.- 6.1. Introduction.- 6.2. Designing a Security System.- 6.3. Intrusion Sensors and Space Sensors.- 6.4. Closed Circuit Television Systems.- 6.5. Central Alarm Systems.- 6.6. References.- 7 Building Automation and Energy Management.- 7.1. Introduction.- 7.2. History of Development of BAS.- 7.3. A Typical BAS in the 90's.- 7.4. Criteria of Choosing the Right BAS.- 7.5. The Open System Architecture.- 7.6. References.- 8 Building Electronics.- 8.1. Introduction.- 8.2. MicroprocessorBased Control.- 8.3. Programmable Logic Controllers.- 8.4. Communication Principles.- 8.5. Telephone System.- 8.6. Communal Aerial Broadcasting.- 8.7. Satellite Communication.- 8.8. Fiber Optic System.- 8.9. Computer Network Technology.- 8.10. References.- 9 A Review on Useful Mathematical Tools.- 9.1. Introduction.- 9.2. Vector and Matrix Algebra.- 9.3. Linear Equation Systems and Vector Spaces.- 9.4. Eigenvalues and Eigenvectors.- 9.5. Linear Transformation.- 9.6. Multivariate Calculus.- 9.7. Optimisation.- 9.8. Probability and Statistics.- 9.9. Curve Fitting.- 9.10. References.- 10 A Review on Artificial Intelligence Methods.- 10.1. Introduction.- 10.2. Expert System.- 10.3. Computer Algebra.- 10.4. Fuzzy Systems.- 10.5. Neural Network.- 10.6. Genetic Algorithm.- 10.7. Simulated Annealing.- 10.8. References.- 11 Digital Signal Processing and Computer Vision.- 11.1. Introduction.- 11.2. Generation of Digital Signal.- 11.3. Discrete Fourier Transform.- 11.4. Digital Filtering.- 11.5. Spectral Analysis.- 11.6. Generation of Digital Image.- 11.7. Basic Image Processing.- 11.8. Computer Vision Principles.- 11.9. References.- 12 Applications in Hvac Systems.- 12.1. Introduction.- 12.2. Knowledge-based Design.- 12.3. Expert System Based Maintenance.- 12.4. System Identification Based Control.- 12.5. Computer Vision Based Control.- 12.6. Neural Network Based Control.- 12.7. Static Fuzzy Logic Based Control.- 12.8. Self-learning Fuzzy Logic Based Control.- 12.9. References.- 13 Applications in Electrical Systems.- 13.1. Introduction.- 13.2. Computer Vision Based Metering.- 13.3. Fuzzy Logic Based Power Harmonics Patterns Recognition.- 13.4. Artificial Neural Network Based Harmonics Evaluation.- 13.5. Computer Vision Based Lighting Control.- 13.6. Outdoor Lighting Design by Computer Algebra.- 13.7. References.- 14 Applications in Fire Services.- 14.1. Introduction.- 14.2. Drawbacks of Conventional Systems.- 14.3. Core Computer Vision System for Security and Fire Detection.- 14.4. Extended Computer Vision System.- 14.5. Degree of Chaos.- 14.6. References.- 15 Applications in Vertical Transportation.- 15.1. Introduction.- 15.2. Simulation and Modelling.- 15.3. Digital Monitoring.- 15.4. Expert System Based Supervisory Control.- 15.5. Comprehensive Dynamic Zoning Algorithms.- 15.6. Fuzzy Logic Based Supervisory Control.- 15.7. Computer Vision Based Supervisory Control.- 15.8. Artificial Neural Network Based Supervisory Control.- 15.9. References.- 16 Applications in Energy Management and Design.- 16.1. Introduction.- 16.2. Impact of AI Technology in the HVAC Industry.- 16.3. ANN Based Energy Management.- 16.4. Multiple Cooperating Knowledge Sources for Designing Energy Systems.- 16.5. References.- 17 The Future of Intelligent Building Systems.- 17.1. Introduction.- 17.2. Data Management Centre.- 17.3. Distributed Intelligence.- 17.4. Pneumatic vs Electronic.- 17.5 Common Protocols.- 17.6. Domestic Applications.- 17.7. Multi-media Approaches.- 17.8. References.

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.