Integration of Mechanical and Manufacturing Engineering with IoT: A Digital Transformation

Cover
Title Page
Copyright Page
Contents
Preface
Chapter 1 Evolution of Internet of Things (IoT): Past, Present and Future for Manufacturing Systems
1.1 Introduction
1.2 IoT Revolution
1.3 IoT
1.4 Fundamental Technologies
1.4.1 RFID and NFC
1.4.2 WSN
1.4.3 Data Storage and Analytics (DSA)
1.5 IoT Architecture
1.6 Cloud Computing (CC) and IoT
1.6.1 Service of CC
1.6.2 Integration of IoT With CC
1.7 Edge Computing (EC) and IoT
1.7.1 EC with IoT Architecture
1.8 Applications of IoT
1.8.1 Smart Mobility
1.8.2 Smart Grid
1.8.3 Smart Home System
1.8.4 Public Safety and Environment Monitoring
1.8.5 Smart Healthcare Systems
1.8.6 Smart Agriculture System
1.9 Industry 4.0 Integrated With IoT Architecture for Incorporation of Designing and Enhanced Production Systems
1.9.1 Five-Stage Process of IoT for Design and Manufacturing System
1.9.2 IoT Architecture for Advanced Manufacturing Technologies
1.9.3 Architecture Development
1.10 Current Issues and Challenges in IoT
1.10.1 Scalability
1.10.2 Issue of Trust
1.10.3 Service Availability
1.10.4 Security Challenges
1.10.5 Mobility Issues
1.10.6 Architecture for IoT
1.11 Conclusion
References
Chapter 2 Fourth Industrial Revolution: Industry 4.0
2.1 Introduction
2.1.1 Global Level Adaption
2.2 Evolution of Industry
2.2.1 Industry 1.0
2.2.2 Industry 2.0
2.2.3 Industry 3.0
2.2.4 Industry 4.0 (or) I4.0
2.3 Basic IoT Concepts and the Term Glossary
2.4 Industrial Revolution
2.4.1 I4.0 Core Idea
2.4.2 Origin of I4.0 Concept
2.5 Industry
2.5.1 Manufacturing Phases
2.5.2 Existing Process Planning vs. I4.0
2.5.3 Software for Product Planning—A Link Between Smart Products and the Main System ERP
2.6 Industry Production System 4.0 (Smart Factory)
2.6.1 IT Support
2.7 I4.0 in Functional Field
2.7.1 I4.0 Logistics
2.7.2 Resource Planning
2.7.3 Systems for Warehouse Management
2.7.4 Transportation Management Systems
2.7.5 Transportation Systems with Intelligence
2.7.6 Information Security
2.8 Existing Technology in I4.0
2.8.1 Applications of I4.0 in Existing Industries
2.8.2 Additive Manufacturing (AM)
2.8.3 Intelligent Machines
2.8.4 Robots that are Self-Aware
2.8.5 Materials that are Smart
2.8.6 IoT
2.8.7 The Internet of Things in Industry (IIoT)
2.8.8 Sensors that are Smart
2.8.9 System Using a Smart Programmable Logic Controller (PLC)
2.8.10 Software
2.8.11 Augmented Reality (AR)/Virtual Reality (VR)
2.8.12 Gateway for the Internet of Things
2.8.13 Cloud
2.8.14 Applications of Additive Manufacturing in I4.0
2.8.15 Artificial Intelligence (AI)
2.9 Applications in Current Industries
2.9.1 I4.0 in Logistics
2.9.2 I4.0 in Manufacturing Operation
2.10 Future Scope of Research
2.10.1 Theoretical Framework of I4.0
2.11 Discussion and Implications
2.11.1 Hosting: Microsoft
2.11.2 Platform for the Internet of Things (IoT): Microsoft, GE, PTC, and Siemens
2.11.3 A Systematic Computational Analysis
2.11.4 Festo Proximity Sensor
2.11.5 Connectivity Hardware: HMS
2.11.6 IT Security: Claroty
2.11.7 Accenture Is a Systems Integrator
2.11.8 Additive Manufacturing: General Electric
2.11.9 Augmented and Virtual Reality: Upskill
2.11.10 ABB Collaborative Robots
2.11.11 Connected Vision System: Cognex
2.11.12 Drones/UAVs: PINC
2.11.13 Self-Driving in Vehicles: Clear Path Robotics
2.12 Conclusion
References
Chapter 3 Interaction of Internet of Things and Sensors for Machining
3.1 Introduction
3.2 Various Sensors Involved in Machining Process
3.2.1 Direct Method Sensors
3.2.2 Indirect Method Sensors
3.2.3 Dynamometer
3.2.4 Accelerometer
3.2.5 Acoustic Emission Sensor
3.2.6 Current Sensors
3.3 Other Sensors
3.3.1 Temperature Sensors
3.3.2 Optical Sensors
3.4 Interaction of Sensors During Machining Operation
3.4.1 Milling Machining
3.4.2 Turning Machining
3.4.3 Drilling Machining Operation
3.5 Sensor Fusion Technique
3.6 Interaction of Internet of Things
3.6.1 Identification
3.6.2 Sensing
3.6.3 Communication
3.6.4 Computation
3.6.5 Services
3.6.6 Semantics
3.7 IoT Technologies in Manufacturing Process
3.7.1 IoT Challenges
3.7.2 IoT-Based Energy Monitoring System
3.8 Industrial Application
3.8.1 Integrated Structure
3.8.2 Monitoring the System Related to Service Based on Internet of Things
3.9 Decision Making Methods
3.9.1 Artificial Neural Network
3.9.2 Fuzzy Inference System
3.9.3 Support Vector Mechanism
3.9.4 Decision Trees and Random Forest
3.9.5 Convolutional Neural Network
3.10 Conclusion
References
Chapter 4 Application of Internet of Things (IoT) in the Automotive Industry
4.1 Introduction
4.2 Need For IoT in Automobile Field
4.3 Fault Diagnosis in Automobile
4.4 Automobile Security and Surveillance System in IoT-Based
4.5 A Vehicle Communications
4.6 The Smart Vehicle
4.7 Connected Vehicles
4.7.1 Vehicle-to-Vehicle (V2V) Communications
4.7.2 Vehicle-to-Infrastructure (V2I) Communications
4.7.3 Vehicle-to-Pedestrian (V2P) Communications
4.7.4 Vehicle to Network (V2N) Communication
4.7.5 Vehicle to Cloud (V2C) Communication
4.7.6 Vehicle to Device (V2D) Communication
4.7.7 Vehicle to Grid (V2G) Communications
4.8 Conclusion
References
Chapter 5 IoT for Food and Beverage Manufacturing
5.1 Introduction
5.2 The Influence of IoT in a Food Industry
5.2.1 Management
5.2.2 Workers
5.2.3 Data
5.2.4 IT
5.3 A Brief Review of IoT’s Involvement in the Food Industry
5.4 Challenges to the Food Industry and Role of IoT
5.4.1 Handling and Sorting Complex Data
5.4.2 A Retiring Skilled Workforce
5.4.3 Alternatives for Supply Chain Management
5.4.4 Implementation of IoT in Food and Beverage Manufacturing
5.4.5 Pilot
5.4.6 Plan
5.4.7 Proliferate
5.5 Applications of IoT in a Food Industry
5.5.1 IoT for Handling of Raw Material and Inventory Control
5.5.2 Factory Operations and Machine Conditions Using IoT
5.5.3 Quality Control With the IoT
5.5.4 IoT for Safety
5.5.5 The Internet of Things and Sustainability
5.5.6 IoT for Product Delivery and Packaging
5.5.7 IoT for Vehicle Optimization
5.5.8 IoT-Based Water Monitoring Architecture in the Food and Beverage Industry
5.6 A FW Tracking System Methodology Based on IoT
5.7 Designing an IoT-Based Digital FW Monitoring and Tracking System
5.8 The Internet of Things (IoT) Architecture for a Digitized Food Waste System
5.9 Hardware Design: Intelligent Scale
5.10 Software Design
References
Chapter 6 Opportunities: Machine Learning for Industrial IoT Applications
6.1 Introduction
6.2 I-IoT Applications
6.3 Machine Learning Algorithms for Industrial IoT
6.3.1 Supervised Learning
6.3.2 Semisupervised Learning
6.3.3 Unsupervised Learning
6.3.4 Reinforcement Learning
6.3.5 The Most Common and Popular Machine Learning Algorithms
6.4 I-IoT Data Analytics
6.4.1 Tools for IoT Analytics
6.4.2 Choosing the Right IoT Data Analytics Platforms
6.5 Conclusion
References
Chapter 7 Role of IoT in Industry Predictive Maintenance
7.1 Introduction
7.2 Predictive Maintenance
7.3 IPdM Systems Framework and Few Key Methodologies
7.3.1 Detection and Collection of Data
7.3.2 Initial Processing of Collected Data
7.3.3 Modeling as Per Requirement
7.3.4 Influential Parameters
7.3.5 Identification of Best Working Path
7.3.6 Modifying Output With Respect Sensed Input
7.4 Economics of PdM
7.5 PdM for Production and Product
7.6 Implementation of IPdM
7.6.1 Manufacturing with Zero Defects
7.6.2 Sense of the Windsene INDSENSE
7.7 Case Studies
7.7.1 Area 1—Heavy Ash Evacuation
7.7.2 Area 2—Seawater Pumps
7.7.3 Evaporators
7.7.4 System Deployment Considerations in General
7.8 Automotive Industry—Integrated IoT
7.8.1 Navigation Aspect
7.8.2 Continual Working of Toll Booth
7.8.3 Theft Security System
7.8.4 Black Box–Enabled IoT
7.8.5 Regularizing Motion of Emergency Vehicle
7.8.6 Pollution Monitoring System
7.8.7 Timely Assessment of Driver’s Condition
7.8.8 Vehicle Performance Monitoring
7.9 Conclusion
References
Chapter 8 Role of IoT in Product Development
8.1 Introduction
8.1.1 Industry 4.0
8.2 Need to Understand the Product Architecture
8.3 Product Development Process
8.3.1 Criteria to Classify the New Products
8.3.2 Product Configuration
8.3.3 Challenges in Product Development while Developing IoT Products (Data-Driven Product Development)
8.3.4 Role of IoT in Product Development for Industrial Applications
8.3.5 Impacts and Future Perspectives of IoT in Product Development
8.4 Conclusion
References
Chapter 9 Benefits of IoT in Automated Systems
9.1 Introduction
9.2 Benefits of Automation
9.2.1 Improved Productivity
9.2.2 Efficient Operation Management
9.2.3 Better Use of Resources
9.2.4 Cost-Effective Operation
9.2.5 Improved Work Safety
9.2.6 Software Bots
9.2.7 Enhanced Public Sector Operations
9.2.8 Healthcare Benefits
9.3 Smart City Automation
9.3.1 Smart Agriculture
9.3.2 Smart City Services
9.3.3 Smart Energy
9.3.4 Smart Health
9.3.5 Smart Home
9.3.6 Smart Industry
9.3.7 Smart Infrastructure
9.3.8 Smart Transport
9.4 Smart Home Automation
9.5 Automation in Manufacturing
9.5.1 IoT Manufacturing Use Cases
9.5.2 Foundation for IoT in Manufacturing
9.6 Healthcare Automation
9.6.1 IoT in Healthcare Applications
9.6.2 Architecture for IoT-Healthcare Applications
9.6.3 Challenges and Solutions
9.7 Industrial Automation
9.7.1 IoT in Industrial Automation
9.7.2 The Essentials of an Industrial IoT Solution
9.7.3 Practical Industrial IoT Examples for Daily Use
9.8 Automation in Air Pollution Monitoring
9.8.1 Methodology
9.8.2 Working Principle
9.8.3 Results
9.9 Irrigation Automation
References
Chapter 10 Integration of IoT in Energy Management
10.1 Introduction
10.2 Energy Management Integration with IoT in Industry 4.0
10.3 IoT in Energy Sector
10.3.1 Energy Generation
10.3.2 Smart Cities
10.3.3 Smart Grid
10.3.4 Smart Buildings
10.3.5 IoT in the Energy Industry
10.3.6 Intelligent Transportation
10.4 Provocations in the IoT Applications
10.4.1 Energy Consumption
10.4.2 Subsystems and IoT Integration
10.5 Energy Generation
10.5.1 Conversion of Mechanical Energy
10.5.2 Aeroelastic Energy Harvesting
10.5.3 Solar Energy Harvesting
10.5.4 Sound Energy Harvesting
10.5.5 Wind Energy Harvesting
10.5.6 Radiofrequency Energy Harvesting
10.5.7 Thermal Energy
10.6 Conclusion
References
Chapter 11 Role of IoT in the Renewable Energy Sector
11.1 Introduction
11.2 Internet of Things (IoT)
11.3 IoT in the Renewable Energy Sector
11.3.1 Automation of Energy Generation
11.3.2 Smart Grids
11.3.3 IoT Increases the Renewable Energy Use
11.3.4 Consumer Contribution
11.3.5 Balancing Supply and Demand
11.3.6 Smart Buildings
11.3.7 Smart Cities
11.3.8 Cost-Effectiveness
11.4 Data Analytics
11.4.1 Data Forecasting
11.4.2 Safety and Reliability
11.5 Conclusion
References
Index
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