Future of IoT with Automation in Engineering and Modern Technology
Erschienen am 10. April 2024
355 Seiten
979-8-89113-704-2 (ISBN)
Beschreibung
The purpose of this book is to serve as a forum in which academics and researchers from all over the globe may come together to communicate, promote, and debate numerous new challenges and advancements in many fields related to engineering applications and the internet of things (IoT). One of the key benefits of automation offered by IoT is a large reduction in operational expenditures. It is one of the most significant advantages in terms of productivity and efficiency. Information is shared between different types of hardware in order to make it possible to automate processes and eliminate the need for human interaction. Industrial automation needs to be able to self-organize, self-configure, and expand to vast scales, all while consuming very little power, being inexpensive, and being based on a worldwide standard. This book presents the Internet of Things for fleet management, which helps in geolocation, performance analysis, telemetry control, fuel savings, pollution reduction, and vehicle driving. This book is a collection of ideas that looks at how things are connected to the Internet and how it might help people stay connected.
Weitere Details
Weitere Ausgaben
Inhalt
- Intro
- Contents
- Preface
- Chapter 1
- Internet of Things Perception and Basic Workings
- Abstract
- Introduction
- IoT Architecture
- Layers of IoT
- Perception or Sensing Layer
- Network Layer
- Processing Layer
- Application Layer
- Business Layer
- Working Principle of Internet of Things (IoT)
- IoT Solution Architecture Phases
- Connected Devices
- IoT Gateway
- Edge IT Solutions
- Cloud Storage and Data Centers
- Applications of IoT
- Personal applications
- Intelligent Healthcare
- Intelligent Education
- Intelligent Home
- Business Applications
- Intelligent Industry
- Intelligent Services
- Intelligent Buildings
- Intelligent Retailing
- Intelligent Transportation
- Intelligent Agriculture
- Public applications
- Intelligent/Smart Cities
- Intelligent Utilities
- Intelligent Environment
- Model of IoT User Perceptions
- IoT from the Perspective of India
- Operation of an IoT System
- Issues in IoT
- Technical Issues
- Societal Issues
- Safety and confidentiality
- Economy
- Business Issues
- Human Issues
- Conclusion
- References
- Chapter 2
- The Role of AI in IoT with Automation
- Abstract
- Introduction
- Automation and Its Significance in Improving Efficiency and Productivity
- Overview of AI Technologies and Applications
- The Intersection of AI and IoT
- Exploring the Synergy between AI and IoT
- How AI Enhances the Capabilities of IoT Devices
- AI Techniques in IoT and Automation
- Machine Learning (ML) Algorithms for IoT Data Analysis
- Deep Learning (DL) Models in IoT and Automation
- Natural Language Processing (NLP) Applications in IoT and Automation
- AI-driven Automation in Industrial IoT
- Industrial IoT and Its Impact on Automation
- AI-driven Automation in Manufacturing Processes
- AI-powered Supply Chain Management in Industrial Settings
- AI and Smart Cities
- The Concept of Smart Cities and their Reliance on AI and IoT:
- AI-driven Solutions for Urban Infrastructure and Resource Management
- Enhancing Public Services with AI in Smart Cities
- Challenges and Ethical Considerations
- Data Privacy and Security in AI-enabled IoT Systems
- 2. Ethical Implications of AI-driven Automation
- Bias and Fairness in AI Algorithms
- Ensuring Transparency and Accountability in AI-enabled Systems
- Conclusion and Future Trends
- Disclaimer
- References
- Chapter 3
- IoT Application in Smart Cities
- Abstract
- Introduction
- IoT Applications in Smart Cities
- Chapter Scope
- Literature Review
- Brief Overview of IoT and Smart Cities
- Importance of IoT in Developing Smart Cities
- Analysis of IoT Application in Smart Cities
- Observation of IoT Applications in Smart Cities Reveals Several Key Aspects and Trends
- Smart City Infrastructure
- Infrastructure for Smart Cities Described
- IoT's Involvement in Creating the Infrastructure for Smart Cities
- Examples of Smart City Infrastructure Projects
- IoT Applications for Smart Cities
- Smart Healthcare Systems
- Case Studies of IoT Applications in Smart Cities
- Case Study 1: Barcelona Smart City
- Overview of Barcelona Smart City Project
- Case Study 2: Amsterdam's Smart City Project
- Key Initiatives
- Impact
- Conclusion
- Case Study 3: Songdo International Business District, South Korea
- IoT Integration
- Data Analytics and Decision-Making
- Impact
- Implementing of IoT Application in Smart Cities in India
- Key Finding of IoT Application in Smart Cities in India
- Status of IoT Application in Smart Cities in India in 2023
- Challenges in Implementing IoT Applications in Smart Cities
- Future Directions for IoT Applications in Smart Cities
- Recommendations for Overcoming Challenges and Improving IoT Applications in Smart Cities
- The Following Suggestions Can Be Taken into Account in Order to Address the Issues and Enhance IoT Applications in Smart Cities
- Discussion
- Conclusion
- References
- Chapter 4
- IoT-based Photovoltaic Monitoring System: Need, Trends, Architecture, and Future Directions
- Abstract
- Introduction
- Photovoltaic (PV) System
- Need for Monitoring of PV System
- IoT-Based PV Monitoring
- Designing of IoT-Based PV Monitoring System
- Recent Trends
- Design and Implementation
- Hardware Section
- Measurement Section
- Processing Unit
- Miscellaneous Components
- Controlling Unit
- Software Layout
- Implementation
- Conclusion and Future Trends
- Disclaimer
- References
- Chapter 5
- Technologies Involved in IoT Development: Unleashing the Power of Connected Systems
- Abstract
- Introduction
- Blockchain Technology
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Edge Intelligence
- Fog Computing
- Blockchain Technology in IoT
- Decentralization
- Data Integrity
- Secure Transaction
- Identity Management
- Smart Contracts
- Supply Chain Management
- Energy Grid
- Smart Contracts in Insurance
- Case Studies
- Blockchain Technology in Supply Chain Management
- Blockchain-Based Energy Grid Management
- Blockchain-Enabled Supply Chain for Food Safety
- Artificial Intelligence and Machine Learning in IoT
- Case Studies
- Predictive Maintenance in Industrial IoT
- Smart Home Automation with AI and Machine Learning
- Edge Intelligence and Fog Computing
- Reduced Latency
- Bandwidth Optimization
- Enhanced Privacy and Security
- Offline Operation
- Scalability
- Higher Processing Power
- Redundancy and Fault Tolerance
- Contextual Awareness
- Case Studies
- Healthcare
- Industrial Automation
- Agriculture
- Retail
- Environmental Monitoring
- Smart Transportation
- Video Surveillance
- Smart Grids
- Security and Privacy in IoT
- Access Control and Authentication
- Data Encryption
- Secure Device Provisioning
- Network Segmentation
- Intrusion Detection and Prevention Systems
- Blockchain-Based Security
- Privacy by Design
- Integrating Emerging Technologies: Synergistic Possibilities
- Blockchain and IoT
- AI and Machine Learning in IoT
- Edge Computing and IoT
- Fog Computing and IoT
- Case Studies
- Smart Cities
- Precision Agriculture
- Industrial Automation
- Discussion
- Conclusion
- References
- Chapter 6
- System for Health Monitoring Built on IoT Using ESP8266-01 and Arduino
- Abstract
- Introduction
- IoT-Based Health Monitoring System
- Identify Key Health Metrics to Monitor
- Determine the Technology Required
- Develop the Hardware
- Create the Software
- Test and Refine
- Continuous Health Monitoring
- Early Detection of Health Issues
- Brief of Components
- Hardware Parts
- Arduino
- Arduino Uno
- Technical Specifications
- Microcontroller
- General Pin functions
- LED
- VIN
- 5V
- 3V3
- GND
- IOREF
- Reset
- Special Pin functions
- Serial/UART
- External Interrupts
- PWM (pulse width modulation)
- SPI (serial peripheral interface)
- TWI (two-wire interface)
- AREF (analog reference)
- Communication
- Automatic (Software) Reset
- ESP8266-01 Wi-Fi Module
- The ESP8266-01 Wi-Fi Module's Characteristics Are as Follows
- Pulse Sensor
- Pulse Sensor Specifications
- Working
- Construction
- Working
- LM35
- Software Component
- IoT: Thing Speak
- Applications of IoT in a Variety of Fields
- In Home Appliance Automation
- Taking Care of the Elderly
- Organizations
- Things Speak
- Overview of Thing Speak
- Key Characteristics of Thing Speak
- Data Collection
- Data Storage
- Processing Data in Real Time
- Data visualization
- Data analysis and insights
- IoT Integration
- IoT Communication Protocols
- Open Source and Customizable
- Working of Thing Speak
- Channel Fields
- Data collection
- Data Storage
- Data processing and analysis
- Data visualization
- APIs and Webhooks
- Security and access control
- Alerts and Notifications
- Working Principle
- Methodology
- Setup of hardware
- Sensor Readings
- Processing Data
- Setting up the LCD Screen
- Communication via Wi-Fi
- Transmission of Data to Thing Speak
- Led Message
- Thing Speak Integration
- Data Analysis and Visualization
- Results and Analysis
- Discussion
- Conclusion
- Disclaimer
- References
- Chapter 7
- Sports Training and Performance Monitoring Using IoT Technology
- Abstract
- Introduction
- Literature Review
- Wearable Devices and Its Applications
- Smart Equipment
- Sensor Enabled Clothing in Sports
- Connected Stadium Infrastructure
- Smart Scoreboards and Sensors
- Tracking and Positioning Systems
- Sensors in Sports Video Analysis
- Environmental Monitoring
- Real-Time Feedback with IoT
- Data Analytics and Insight Generation
- Broadcast Enhancement Using IoT
- Player Health Monitoring and Injury Prevention
- Artificial Intelligence and IoT in Sports
- Biomechanical Analysis
- Remote Training in Sports with IoT
- Future Research Suggestions
- Conclusion
- References
- Chapter 8
- Investigating the Use of IoT for Smart Waste Management
- Abstract
- Introduction
- Different Aspects with IoT Technology
- IoT and Sensor Technologies
- Data Analytics and Predictive Maintenance
- Environmental Impact and Sustainability
- Cost Efficiency and Resource Allocation
- Public Participation and Engagement
- Challenges and Considerations
- Case Studies and Best Practices
- Future Directions
- Provide the Meaning, Components, and Critical Areas of IoT
- Meaning with Components of IoT
- Areas Where IoT Enables Waste Management
- Route Optimization
- Smart Recycling
- Data Analysis
- The Role of IoT in Smart Waste Management
- Real-Time Monitoring
- Data Analytics and Insights
- Route Optimization
- Predictive Maintenance
- Environmental Monitoring
- Resource Optimization
- Citizen Engagement
- Recycling Enhancement
- Cost Savings
- Sustainability and Green Initiatives
- Approach to Using IoT for Smart Waste Management
- Technical Feasibility
- Reliability
- Level of Precision
- Durability
- Interoperability
- Challenge Analysis
- Cost Effective Is Deploying IoT
- Maintenance Factors
- Recent Development on IoT for Smart Waste Management
- Advanced Sensing Technologies
- Real-time Data Analytics
- Edge Computing
- Artificial Intelligence (AI) Integration
- Waste Sorting and Recycling Optimization
- Cloud Integration
- Smart City Integration
- Citizen Engagement Apps
- Pilot Projects and Collaborations
- Focus on Sustainability
- IoT Based Waste Management and Smart Cities
- Real-Time Monitoring
- Optimized Collection Routes
- Efficient Resource Allocation
- Potential and Limitations of IoT in Waste Management
- Smart Waste Collection
- Smart Bin Monitoring
- Predictive Maintenance
- Waste Sorting and Recycling
- Energy Management
- Environmental Monitoring
- Data-Driven Decision Making
- Public Engagement and Education
- Environmental Monitoring
- Opportunities of IoT for Smart Waste Management
- Real-Time Monitoring and Data Collection
- Efficient Resource Allocation
- Cost Savings
- Environmental Impact
- Improved Public Health and Aesthetics
- Data-Driven Decision Making
- Predictive Analytics
- Public Engagement
- Remote Monitoring and Maintenance
- Integration with Smart Cities
- Innovation and Technological Growth
- Compliance with Regulations
- Challenges for IoT Smart Waste Management
- Data Security and Privacy
- Connectivity and Infrastructure
- Initial Implementation Costs
- Maintenance and Upkeep
- Compatibility and Interoperability
- Data Management and Analysis
- Stakeholder Collaboration
- Power Consumption and Sustainability
- Public Awareness and Acceptance
- Regulation and Compliance
- Scaling and Adaptability
- Environmental Impact
- Visual Modeling for Performance Just in Time
- Conclusion
- Disclaimer
- References
- Chapter 9
- IoT-based Solar Tracking and Monitoring System
- Abstract
- Introduction
- Solar Tracking System
- Solar Tracker
- Internet of Things
- The Implementation of a Solar Tracking System Using IoT
- Literature Review
- Working Methodology
- Implementation of Solar Tracking System
- Hardware Setup
- IoT Device Integration
- Central Control Unit
- Connectivity and Communication
- Monitoring and Control
- Testing and Calibration
- Maintenance and Upgrades
- Flowchart of Solar Tracking System
- Result of Proposed System
- Conclusion and Future Scope
- Appendix
- References
- Chapter 10
- Development of a Three-Tier Home Entrance Security System Using IoT and Image Processing
- Abstract
- Introduction
- Literature Survey
- Design Methodology
- Concept Map and Flow Chart
- Outside the Door
- Inside the Door
- Face Detection: Haar Cascade Algorithm
- Haar Cascade Classifiers
- Feature Extraction
- Dataset Generation
- Face Recognition
- Working
- KNN Algorithm Working
- Live Streaming
- Mathematical Analysis and Calculations
- Euclidean Distance Calculation
- Hardware Design
- Door Lock System
- Conclusion
- Tier 1
- Tier 2
- Tier 3
- Disclaimer
- References
- Chapter 11
- IoT-based Edge and Fog Computing for Smart Grids: Revolutionizing Power Distribution
- Abstract
- Introduction
- Background
- Objectives
- Organization of the Chapter
- Smart Grids: An Overview
- Definition and Key Components
- Challenges in Existing Architectures
- Need for Innovation and Transformation
- IoT, Edge Computing, and Fog Computing
- IoT Fundamentals and Applications in Smart Grids
- Edge Computing: Bringing Computation to the Edge
- Fog Computing: Extending Computation to Intermediate Nodes
- Benefits and Advantages of IoT-Based Edge and Fog Computing
- Conceptual Framework for IoT-Based Edge and Fog Computing in Smart Grids
- Design Principles and Architecture
- Edge Device Deployment and Infrastructure
- Fog Node Placement and Communication
- Interactions with Central Smart Grid Infrastructure
- Real-Time Monitoring and Predictive Maintenance
- Edge Computing for Real-Time Monitoring
- Fog Computing for Predictive Maintenance
- Machine Learning Techniques for Anomaly Detection
- Load Balancing and Demand Response
- Edge-Assisted Load Balancing Strategies
- Fog Computing for Demand Response
- Advanced Analytics and Decision-Making at the Edge
- Conclusion
- Future Scope
- Disclaimer
- References
- Chapter 12
- Performance Enhancement in a Smart Grid Using the Internet of Things (IoT)
- Abstract
- Introduction
- Background
- Motivation
- IoT-Enabled Smart Grids: An Overview
- Definition and Components of IoT
- Key Objectives of IoT-Enabled Smart Grids
- Iot-Enabled Smart Grids Are Designed to Achieve Several Key Objectives
- Improved Monitoring and Control
- Demand Response and Load Management
- Grid Resilience and Fault Managemen
- Data-driven Analytics for Decision-Making
- Improved Monitoring and Control
- Real-Time Data Collection
- Intelligent Decision-Making Algorithms
- Demand Response and Load Management
- IoT-Enabled Communication Infrastructure
- Peak Hour Load Balancing
- Grid Resilience and Fault Management
- IoT-Enabled Fault Detection and Localization
- Preventative Maintenance
- Data-Driven Analytics for Performance Optimization
- Iot-Generated Data Points
- Data Analysis and Insights
- Decision-Making and Grid Efficiency
- Discussion
- Conclusion
- References
- List of Contributors
- Index
- Blank Page
