Industrial Internet of Things (IIoT): Intelligent Analytics for Predictive Maintenance
- Length: 432 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Scrivener
- Publication Date: 2022-03-29
- ISBN-10: 1119768772
- ISBN-13: 9781119768777
- Sales Rank: #0 (See Top 100 Books)
INDUSTRIAL INTERNET OF THINGS (IIOT)
This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale.
Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control.
The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines.
The volume will help industry leaders by
- Advancing hands-on experience working with industrial architecture
- Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols
- Putting forward business models revitalizing the workforce with Industry 4.0.
Audience
Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.
Cover Table of Contents Title Page Copyright Preface 1 A Look at IIoT: The Perspective of IoT Technology Applied in the Industrial Field 1.1 Introduction 1.2 Relationship Between Artificial Intelligence and IoT 1.3 IoT Ecosystem 1.4 Discussion 1.5 Trends 1.6 Conclusions References 2 Analysis on Security in IoT Devices—An Overview 2.1 Introduction 2.2 Security Properties 2.3 Security Challenges of IoT 2.4 IoT Security Threats 2.5 Assaults in IoT Devices 2.6 Security Analysis of IoT Platforms 2.7 Future Research Approaches References 3 Smart Automation, Smart Energy, and Grid Management Challenges 3.1 Introduction 3.2 Internet of Things and Smart Grids 3.3 Conceptual Model of Smart Grid 3.4 Building Computerization 3.5 Challenges and Solutions 3.6 Conclusions References 4 Industrial Automation (IIoT) 4.0: An Insight Into Safety Management 4.1 Introduction 4.2 Existing Technology and Its Review 4.3 Research Limitation 4.4 Finding 4.5 Conclusion and Future Research References 5 An Industrial Perspective on Restructured Power Systems Using Soft Computing Techniques 5.1 Introduction 5.2 Fuzzy Logic 5.3 Genetic Algorithm 5.4 Artificial Neural Network 5.5 Conclusion References 6 Recent Advances in Wearable Antennas: A Survey 6.1 Introduction 6.2 Types of Antennas 6.3 Design of Wearable Antennas 6.4 Textile Antennas 6.5 Comparison of Wearable Antenna Designs 6.6 Fractal Antennas 6.7 Future Challenges of Wearable Antenna Designs 6.8 Conclusion References 7 An Overview of IoT and Its Application With Machine Learning in Data Center 7.1 Introduction 7.2 Data Center and Internet of Things 7.3 Machine Learning Models and IoT 7.4 Challenges in Data Center and IoT 7.5 Conclusion References 8 Impact of IoT to Meet Challenges in Drone Delivery System 8.1 Introduction 8.2 Literature Survey 8.3 Smart Airport Architecture 8.4 Barriers to IoT Implementation 8.5 Current Technologies in Aviation Industry 8.6 IoT Adoption Challenges 8.7 Transforming Airline Industry With Internet of Things 8.8 Revolution of Change (Paradigm Shift) 8.9 The Following Diagram Shows the Design of the Application 8.10 Discussion, Limitations, Future Research, and Conclusion 8.11 Present and Future Scopes 8.12 Conclusion References 9 IoT-Based Water Management System for a Healthy Life 9.1 Introduction 9.2 Water Management Using IoT 9.3 IoT Characteristics and Measurement Parameters 9.4 Platforms and Configurations 9.5 Water Quality Measuring Sensors and Data Analysis 9.6 Wastewater and Storm Water Monitoring Using IoT 9.7 Sensing and Sampling of Water Treatment Using IoT References 10 Fuel Cost Optimization Using IoT in Air Travel 10.1 Introduction 10.2 Emerging Frameworks in IoT 10.3 Applications of IoT 10.4 IoT for Smart Airports 10.5 Related Work 10.6 Existing System and Analysis 10.7 Proposed System 10.8 Components in Fuel Reduction 10.9 Conclusion 10.10 Future Enhancements References 11 Object Detection in IoT-Based Smart Refrigerators Using CNN 11.1 Introduction 11.2 Literature Survey 11.3 Materials and Methods 11.4 Results and Discussion 11.5 Conclusion References 12 Effective Methodologies in Pharmacovigilance for Identifying Adverse Drug Reactions Using IoT 12.1 Introduction 12.2 Literature Review 12.3 Data Mining Tasks 12.4 Feature Selection Techniques in Data Mining 12.5 Classification With Neural Predictive Classifier 12.6 Conclusions References 13 Impact of COVID-19 on IIoT 13.1 Introduction 13.2 The Benefits of Industrial IoT 13.3 The Challenges of Wide-Spread IIoT Implementation 13.4 Effects of COVID-19 on Industrial Manufacturing 13.5 Winners and Losers—The Impact on IoT/ Connected Applications and Digital Transformation due to COVID-19 Impact 13.6 The Impact of COVID-19 on IoT Applications 13.7 The Impact of COVID-19 on Technology in General 13.8 The Impact of COVID-19 on Specific IoT Technologies 13.9 Coronavirus With IoT, Can Coronavirus Be Restrained? 13.10 The Potential of IoT in Coronavirus Like Disease Control 13.11 Conclusion References 14 A Comprehensive Composite of Smart Ambulance Booking and Tracking Systems Using IoT for Digital Services 14.1 Introduction 14.2 Literature Review 14.3 Design of Smart Ambulance Booking System Through App 14.4 Smart Ambulance Booking 14.5 Result and Discussion 14.6 Conclusion 14.7 Future Scope References 15 An Efficient Elderly Disease Prediction and Privacy Preservation Using Internet of Things 15.1 Introduction 15.2 Literature Survey 15.3 Problem Statement 15.4 Proposed Methodology 15.5 Result and Discussion 15.6 Conclusion References Index Also of Interest End User License Agreement
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