Smart Buildings Systems: Data Collection, Management and Analytics provides a broad range of data sources and a thorough explanation of the methods used to extract information from the vast quantities of available data. This reference presents a complete spectrum of smart building inputs, including the heuristics, rule-based logic engines, and machine learning algorithms that generate informational data. Written by an author with 10 years of experience, this comprehensive resource offers data-driven approaches to improve equipment lifetimes, enhance occupant experience, and minimize energy consumption. It is an ideal reference for construction engineers, design engineers architects, owners and facilities managers.
Topics discussed include energy metering instrumentation, control loop theory, automation system architectures, and various computational approaches to fault detection. Step-by-step descriptions of large-scale, practical implementations also provide readers with a roadmap to elevate a building into a 'smart' operating state.
- Covers energy metering instrumentation, control loop theory, automation system architectures
- Includes the heuristics, rule-based logic engines, and machine learning algorithms
- Offers data-driven approaches to improve equipment lifetimes, enhance occupant experience, and minimize energy consumption
- Provides step-by-step descriptions of large-scale practical implementations with case studies
Table of Contents
1. Preface 2. Philosophy of 'Smart' Buildings 3. Smart Building Trends 4. Smart Building Infrastructure 5. Building Data Sources 6. Structured & Integrated Data Architecture 7. Cyber-Security for Smart Buildings 8. Situational Awareness 9. Operational Intelligence 10. Data-Driven Smart Building Advantages 11. Autonomous Buildings
