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Electronics in Advanced Research Industries A one-of-a-kind examination of the latest developments in machine control In Electronics in Advanced Research Industries: Industry 4.0 to Industry 5.0 Advances, accomplished electronics researcher and engineer Alessandro Massaro delivers a comprehensive exploration of the latest ways in which people have achieved machine control, including automated vision technologies, advanced electronic and micro-nano sensors, advanced robotics, and more. The book is composed of nine chapters, each containing examples and diagrams designed to assist…mehr
A one-of-a-kind examination of the latest developments in machine control
In Electronics in Advanced Research Industries: Industry 4.0 to Industry 5.0 Advances, accomplished electronics researcher and engineer Alessandro Massaro delivers a comprehensive exploration of the latest ways in which people have achieved machine control, including automated vision technologies, advanced electronic and micro-nano sensors, advanced robotics, and more.
The book is composed of nine chapters, each containing examples and diagrams designed to assist the reader in applying the concepts discussed within to common issues and problems in the real-world. Combining electronics and mechatronics to show how they can each be implemented in production line systems, the book presents insightful new ways to use artificial intelligence in production line machines. The author explains how facilities can upgrade their systems to an Industry 5.0 environment.
Electronics in Advanced Research Industries: Industry 4.0 to Industry 5.0 Advances also provides:
A thorough introduction to the state-of-the-art in a variety of technological areas, including flexible technologies, scientific approaches, and intelligent automatic systems
Comprehensive explorations of information technology infrastructures that support Industry 5.0 facilities, including production process simulation
Practical discussions of human-machine interfaces, including mechatronic machine interface architectures integrating sensor systems and machine-to-machine (M2M) interfaces
In-depth examinations of Internet of Things (IoT) solutions in industry, including cloud computing IoT
Perfect for professionals working in electrical industry sectors in manufacturing, production line manufacturers, engineers, and members of R&D industry teams, Electronics in Advanced Research Industries: Industry 4.0 to Industry 5.0 Advances will also earn a place in libraries of technicians working in the process industry.
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Autorenporträt
Alessandro Massaro is qualified as Associate Professor in Electronics and Physics. He was the winner of the Best Engineer award from the National Council of Engineers in Italy in 2018.
Inhaltsangabe
Preface xiii
About the Author xv
1 State of the Art and Technology Innovation 1
1.1 State of the Art of Flexible Technologies in Industry 2
1.1.1 Sensors and Actuators Layer: I/O Layer 3
1.1.2 Agent/Firmware Layer: User Interface Layer 9
1.1.3 Gateway and Enterprise Service Bus Layer 9
1.1.4 IoT Middleware 10
1.1.5 Processing Layer 11
1.1.6 Application Layer 11
1.1.7 File Transfer Protocols 11
1.2 State of the Art of Scientific Approaches Oriented on Process Control and Automatisms 14
1.2.1 Architectures Integrating AI 14
1.2.2 AI Supervised and Unsupersived Algorithms 15
1.2.3 AI Image Processing 18
1.2.4 Production Process Mapping 20
1.2.5 Technologies of Industry 4.0 and Industry 5.0: Interconnection and Main Limits 21
1.2.6 Infrared Thermography in Monitoring Process 26
1.2.7 Key Parameters in Supply Chain and AI Improving Manufacturing Processes 27
1.3 Intelligent Automatic Systems in Industries 30
1.4 Technological Approaches to Transform the Production in Auto-Adaptive Control and Actuation Systems 31
1.5 Basic Concepts of Artificial Intelligence 33
1.6 Knowledge Upgrading in Industries 41
References 45
2 Information Technology Infrastructures Supporting Industry 5.0 Facilities 51
2.1 Production Process Simulation and Object Design Approaches 52
2.1.1 Object Design of a Data Mining Algorithm: Block Functions and Parameter Setting 55
2.1.2 Example 1: BPM Modeling of Wheat Storage Process for Pasta Production 59
2.1.3 Example 2: Block Diagram Design of a Servo Valve Control and Actuation System 61
2.1.4 Example 3: Block Diagram of a Liquid Production System 61
2.1.5 Example 4: UML Design of a Programmable Logic Controller System 62
2.1.6 Example 5: Electronic Logic Timing Diagram 64
2.1.7 Example 6: AR System in Kitchen Production Process 64
2.1.8 Example 7: Intelligent Canned Food Production Line 70
2.2 Electronic Logic Design Oriented on Information Infrastructure of Industry 5.0 71
2.3 Predictive Maintenance: Artificial Intelligence Failure Predictions and Information Infrastructure Layout in the Temperature Monitoring Process 74
2.4 Defect Estimation and Prediction by Artificial Neural Network 77
2.4.1 Other Methodologies to Map and Read Production Failures and Defects 79
2.5 Defect Clustering and Classification: Combined Use of the K-Means Algorithm with Infrared Thermography for Predictive Maintenance 82
2.6 Facilities of a Prototype Network Implementing Advanced Technology: Example of an Advanced Platform Suitable for Industry 5.0 Integrating Predictive Maintenance 84
2.7 Predictive Maintenance Approaches 86
2.7.1 Preventive Maintenance and Predictive Maintenance Operations in the Railway Industry 90
2.8 Examples of Advanced Infrastructures Implementing AI 93
2.9 Examples of Telemedicine Platforms Integrating Advanced Facilities 94
2.9.1 Advanced Telecardiology Platform 94
2.9.2 Advanced Teleoncology Platform 96
2.9.3 Multipurpose E-Health Platform 97
References 99
3 Human-Machine Interfaces 103
3.1 Mechatronic Machine Interface Architectures Integrating Sensor Systems 104
3.1.1 Multiple Mechatronic Boards Managing Different Production Stages 104
1.1 State of the Art of Flexible Technologies in Industry 2
1.1.1 Sensors and Actuators Layer: I/O Layer 3
1.1.2 Agent/Firmware Layer: User Interface Layer 9
1.1.3 Gateway and Enterprise Service Bus Layer 9
1.1.4 IoT Middleware 10
1.1.5 Processing Layer 11
1.1.6 Application Layer 11
1.1.7 File Transfer Protocols 11
1.2 State of the Art of Scientific Approaches Oriented on Process Control and Automatisms 14
1.2.1 Architectures Integrating AI 14
1.2.2 AI Supervised and Unsupersived Algorithms 15
1.2.3 AI Image Processing 18
1.2.4 Production Process Mapping 20
1.2.5 Technologies of Industry 4.0 and Industry 5.0: Interconnection and Main Limits 21
1.2.6 Infrared Thermography in Monitoring Process 26
1.2.7 Key Parameters in Supply Chain and AI Improving Manufacturing Processes 27
1.3 Intelligent Automatic Systems in Industries 30
1.4 Technological Approaches to Transform the Production in Auto-Adaptive Control and Actuation Systems 31
1.5 Basic Concepts of Artificial Intelligence 33
1.6 Knowledge Upgrading in Industries 41
References 45
2 Information Technology Infrastructures Supporting Industry 5.0 Facilities 51
2.1 Production Process Simulation and Object Design Approaches 52
2.1.1 Object Design of a Data Mining Algorithm: Block Functions and Parameter Setting 55
2.1.2 Example 1: BPM Modeling of Wheat Storage Process for Pasta Production 59
2.1.3 Example 2: Block Diagram Design of a Servo Valve Control and Actuation System 61
2.1.4 Example 3: Block Diagram of a Liquid Production System 61
2.1.5 Example 4: UML Design of a Programmable Logic Controller System 62
2.1.6 Example 5: Electronic Logic Timing Diagram 64
2.1.7 Example 6: AR System in Kitchen Production Process 64
2.1.8 Example 7: Intelligent Canned Food Production Line 70
2.2 Electronic Logic Design Oriented on Information Infrastructure of Industry 5.0 71
2.3 Predictive Maintenance: Artificial Intelligence Failure Predictions and Information Infrastructure Layout in the Temperature Monitoring Process 74
2.4 Defect Estimation and Prediction by Artificial Neural Network 77
2.4.1 Other Methodologies to Map and Read Production Failures and Defects 79
2.5 Defect Clustering and Classification: Combined Use of the K-Means Algorithm with Infrared Thermography for Predictive Maintenance 82
2.6 Facilities of a Prototype Network Implementing Advanced Technology: Example of an Advanced Platform Suitable for Industry 5.0 Integrating Predictive Maintenance 84
2.7 Predictive Maintenance Approaches 86
2.7.1 Preventive Maintenance and Predictive Maintenance Operations in the Railway Industry 90
2.8 Examples of Advanced Infrastructures Implementing AI 93
2.9 Examples of Telemedicine Platforms Integrating Advanced Facilities 94
2.9.1 Advanced Telecardiology Platform 94
2.9.2 Advanced Teleoncology Platform 96
2.9.3 Multipurpose E-Health Platform 97
References 99
3 Human-Machine Interfaces 103
3.1 Mechatronic Machine Interface Architectures Integrating Sensor Systems 104
3.1.1 Multiple Mechatronic Boards Managing Different Production Stages 104