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Introduction

In today’s industrial landscape, the safety of workers is of utmost importance. With the advent of Industry 4.0 and the Internet of Things (IoT), there has been a growing interest in leveraging cutting-edge technologies to enhance industrial safety systems. Edge computing, a paradigm that brings computation and data storage closer to the sources of data, has shown promising potential in improving real-time decision-making and response in industrial safety systems. This research aims to explore the application of edge computing in industrial safety systems to enhance worker safety and prevent accidents in real-time.

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

Chapter 2: Literature Review
2.1 Introduction to Edge Computing
2.2 Industrial Safety Systems
2.3 Applications of Edge Computing in Industrial Safety
2.4 Challenges and Limitations of Edge Computing in Industrial Safety
2.5 Case Studies on Edge Computing in Industrial Safety
2.6 Frameworks and Models for Edge Computing in Industrial Safety
2.7 Edge Computing Technologies for Industrial Safety
2.8 Integration of Edge Computing with IoT for Industrial Safety
2.9 Edge Computing Security and Privacy Concerns
2.10 Future Trends in Edge Computing for Industrial Safety

Chapter 3: System Design and Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 System Architecture
3.5 Edge Computing Implementation
3.6 Sensor Integration
3.7 Real-time Monitoring and Alert Systems
3.8 Data Processing and Analytics
3.9 Performance Evaluation Metrics

Chapter 4: System Implementation
4.1 Hardware and Software Requirements
4.2 System Configuration
4.3 Testing and Validation Procedures
4.4 Deployment Strategies
4.5 Maintenance and Upkeep
4.6 System Optimization
4.7 User Training and Adoption
4.8 Scalability and Future Expansion

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to Knowledge
5.3 Practical Implications
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview on Edge Computing for Industrial Safety Systems

Edge computing has emerged as a transformative technology that brings computation and data storage closer to the source of data generation, enabling real-time decision-making and response. In the context of industrial safety systems, the integration of edge computing can significantly enhance worker safety and accident prevention by enabling faster and more efficient monitoring, analysis, and response to potential hazards.

This thesis aims to investigate the application of edge computing in industrial safety systems to improve worker safety and prevent accidents in real-time. The research will provide a comprehensive analysis of the existing literature on edge computing, industrial safety systems, and the integration of edge computing with IoT for industrial safety applications.

The study will involve the design and development of a novel edge computing system for industrial safety, including the implementation of sensors, real-time monitoring and alert systems, data processing and analytics, and performance evaluation metrics. The research will also address challenges and limitations of edge computing in industrial safety, as well as security and privacy concerns associated with edge computing technologies.

Through a systematic methodology, the thesis will evaluate the effectiveness of the edge computing system in enhancing industrial safety, with a focus on scalability, maintenance, and user adoption. The findings of this research will contribute to the body of knowledge on edge computing for industrial safety systems and provide valuable insights for future research and practical applications in industrial settings.

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