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Development of an Automated Building Maintenance System using IoT Technology

 

Table Of Contents


Chapter ONE

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objectives of Study
1.5 Limitations of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter TWO

: Literature Review 2.1 Review of IoT Technology
2.2 Building Maintenance Systems
2.3 Automation in Building Management
2.4 Previous Studies on Automated Systems
2.5 Challenges in Building Maintenance
2.6 Benefits of IoT in Building Maintenance
2.7 Integration of IoT in Smart Buildings
2.8 Energy Efficiency in Buildings
2.9 Data Security in IoT Systems
2.10 Future Trends in Building Automation

Chapter THREE

: Research Methodology 3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Procedures
3.5 Experimental Setup
3.6 Software and Hardware Tools Used
3.7 Validity and Reliability
3.8 Ethical Considerations

Chapter FOUR

: Discussion of Findings 4.1 Overview of Data Collected
4.2 Analysis of Automated Building Maintenance System Performance
4.3 Comparison with Traditional Maintenance Methods
4.4 User Feedback and Satisfaction
4.5 Challenges Encountered
4.6 Recommendations for Improvement
4.7 Future Enhancements
4.8 Implications for Building Management Industry

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Recommendations for Future Research

Thesis Abstract

Abstract
This thesis focuses on the development of an Automated Building Maintenance System (ABMS) utilizing Internet of Things (IoT) technology. The integration of IoT into building maintenance systems has the potential to revolutionize the way buildings are managed and maintained. The increasing complexity of building systems and the need for more efficient maintenance practices have driven the adoption of IoT in the building management industry. This research project aims to design and implement an ABMS that leverages IoT technology to automate maintenance processes, monitor building systems in real-time, and improve overall operational efficiency. The thesis begins with a comprehensive introduction that outlines the background of the study, problem statement, objectives, limitations, scope, significance of the study, structure of the thesis, and definition of key terms. The literature review chapter provides an in-depth analysis of existing research and technologies related to building maintenance systems, IoT applications in buildings, and automation technologies. It explores key concepts such as sensor networks, data analytics, predictive maintenance, and remote monitoring systems. The research methodology chapter details the approach taken in designing and implementing the ABMS. It includes discussions on system requirements, hardware and software selection, data collection methods, system architecture, and testing procedures. The methodology also covers aspects such as data security, scalability, and integration with existing building management systems. The findings chapter presents the results of the ABMS implementation, including system performance metrics, user feedback, and operational benefits. It discusses the challenges encountered during implementation and provides insights into potential improvements and future research directions. The discussion of findings chapter delves into the implications of the research results, compares them with existing literature, and highlights the contributions of the study to the field of building maintenance and IoT technology. In conclusion, this thesis underscores the importance of integrating IoT technology into building maintenance systems to enhance operational efficiency, reduce maintenance costs, and improve building performance. The ABMS developed in this research project demonstrates the feasibility and benefits of automation in building maintenance and sets a foundation for further advancements in the field. This research contributes to the growing body of knowledge on IoT applications in buildings and provides valuable insights for researchers, practitioners, and stakeholders in the building management industry.

Thesis Overview

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