Thesis Abstract

Abstract
This thesis presents the design and implementation of a Smart Building Management System (SBMS) utilizing Internet of Things (IoT) technology. The integration of IoT into building management systems offers innovative solutions for enhancing building efficiency, automation, and sustainability. The research focuses on developing a comprehensive system that can monitor, control, and optimize various building functions in real-time. The project aims to address the challenges faced in traditional building management systems by leveraging IoT devices, sensors, and data analytics to create an intelligent and responsive environment. Chapter One provides an introduction to the research topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. The significance of this research lies in its potential to revolutionize building management practices, leading to improved energy efficiency, operational cost savings, and enhanced user comfort. Chapter Two comprises a detailed literature review that explores existing research and technologies related to IoT applications in building management. The review covers topics such as smart buildings, IoT architecture, sensor networks, data analytics, and building automation systems. By analyzing the current state of the art, gaps in the literature are identified, which guides the development of the proposed SBMS. In Chapter Three, the research methodology is outlined, detailing the approach taken to design and implement the SBMS. This chapter includes sections on system requirements analysis, hardware and software selection, sensor deployment, data collection methods, system integration, testing procedures, and validation strategies. The methodology aims to ensure the reliability, scalability, and effectiveness of the SBMS in real-world building environments. Chapter Four presents a comprehensive discussion of the findings obtained from the implementation of the SBMS. The chapter covers system architecture, data flow analysis, user interface design, functionality testing results, performance evaluation metrics, and case studies of the system in action. The findings demonstrate the capabilities of the SBMS in optimizing building operations, improving energy efficiency, and providing valuable insights for building managers and occupants. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research, and suggesting future directions for further development and research. The conclusion highlights the contributions of this work to the field of smart building management and emphasizes the potential impact of IoT technologies on shaping the future of sustainable and intelligent buildings. In conclusion, the "Design and Implementation of a Smart Building Management System Using IoT Technology" thesis presents a novel approach to building management that leverages IoT advancements to create smarter, more efficient, and responsive buildings. The research contributes to the growing body of knowledge on IoT applications in the built environment and offers practical insights for industry professionals, researchers, and policymakers seeking to adopt smart technologies for sustainable building operations.

Thesis Overview