Digital Twins: The Industry 4.0 Use Cases: The Technologies, Tools, Platforms and Applications

$195.00

Kavita Saini, PhD – Professor, School of Computing Science & Engineering (SCSE), Galgotias University, India
Pethuru Raj Chelliah, PhD – Chief Architect, Reliance Ji Infocomm Ltd. (RJIL), Bangalore, India

Series: Computer Science, Technology and Applications
BISAC: TEC020000; COM014000; COM032000
DOI: https://doi.org/10.52305/EODP0452

Digital Twin is a virtual representation of any physical system and process. It turns out that for any complex and competent IoT device at the ground, there is a corresponding digital/virtual/software device replica. Such a logical representation brings forth a number of business and technical advantages including the fulfilling the Industry 4.0 vision. With the exponential growth of IoT devices in our professional, social and personal environments, there is a need for ensuring high performance for, remote management, policy-based governance and utmost security of IoT devices. Further on, IoT data analytics is being made mandatory for timely extraction of actionable insights, which bolster IoT devices to be adaptive in their operations, outputs and offerings. Thus, the continuous explosion of connected devices, the wider adoption of software-defined cloud infrastructures, the maturity of artificial intelligence (AI) toolkits, the realization of data lakes in cloud environments, the unveiling of big, fast and streaming data analytics platforms, etc., together clearly tell that the concept of digital twins is all set to flourish across industry verticals. Digital twins getting hosted in enterprise and cloud servers continuously take operational inputs from various sensors attached with the physical system. Such an empowerment comes handy for visualizing and realizing a host of sophisticated and cognitive IoT devices and applications.

Digital Twin technology is referred to as game changing. The concept represents the convergence of the physical and the virtual worlds where each industrial process, asset, service or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. It helps track a physical entity’s current configuration, state, location, operational characteristics and other attributes. It is very cost effective, accessible via IoTs, and helps in lowering costs, reducing process time and improving product quality by providing data management, data tracking and other benefits. They allow for safe and cost-effective testing and development. In the future, digital twins shall constitute the fundamental pillars of intelligent IoT ecosystems as well as Industry 4.0 for training, monitoring, maintenance, troubleshooting, optimization and other tasks vital to keeping physical entities in healthy working conditions. Digital Twins are gaining momentum as they offer real-time transparency in product development life cycles to help manufacture higher quality products and improve customer satisfaction. They are being applied in many domains including manufacturing, vehicular technology, smart city, and the Built Environment.

The book is aimed to present the overall concept of the digital twin technology, challenges in its adoptability, and various industry use cases. The book will give the in-depth awareness of digital twin architecture and frameworks. The book will address research-related challenges and solution approaches related to the Digital Twin concepts.

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Table of Contents

Preface

Chapter 1. The Contributions of Digital Twins for the Ensuing Digital Era
Pethuru Raj1, PhD, Veeramuthu Venkatesh2, PhD and Sundaravadivazhagan3, PhD
1Chief Architect and Vice President, Reliance Jio Platforms Ltd., AVANA Building, Bangalore, India
2School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India
3Department of Information Technology, University of Technology and Applied Sciences, AL Mussanah, Sultanate of Oman

Chapter 2. Exploring Digital Twins: Attributes, Challenges, and Risks
Ramakrishnan N1 and J Meenakumari2
1Head – Lean Operations and Systems, School of Business and Management, CHRIST Deemed to be University, Bengaluru, India
2Professor and Associate Director, Edexeducom, Bengaluru, India

Chapter 3. Digital Twin Technology: Security Implications and Issues
C. Nikhil1, K. Rahul1, Aswani Kumar Cherukuri1, Firuz Kamalov2 and Kathiravan Srinivasan1
1School of Information Technology & Engineering, Vellore Institute of Technology, Vellore, India
2Department of Electrical Engineering, Canadian University Dubai, Dubai, UAE

Chapter 4. Digital Twins for Future Technology and Challenges
Kannadhasan Suriyan1, Nagarajan Ramalingam2, G. Srividhya2 and Kannadhasan Veerapandi3
1Department of Electronics and Communication Engineering, Study World College of Engineering, Tamil Nadu, India
2Department of Electrical and Electronics Engineering, Gnanamani College of Technology, Tamil Nadu, India
3Department of Mechanical Engineering, Solamalai College of Engineering, Tamil Nadu, India

Chapter 5. Knowledge-Twin: Addressing the Current Challenges of Knowledge Management in Industry 4.0 Using Digital Twins
V. S. Devi Priya1, S. Sibi Chakkaravarthy1, Aswani kumar Chekuri2 and Samuel Johnson3,4
1School of Computer Science and Engineering and Center of Excellence in Artificial Intelligence and Robotics, VIT-AP University, Andhra Pradesh, India
2School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
3VSB, VIT-AP University, Amaravati, India

Chapter 6. Digital Twin Applications for Manufacturing Industry Automation
Pooja Saigal and Prerna Ajmani
Vivekananda School of Information Technology, Vivekananda Institute of Professional Studies, New Delhi, India

Chapter 7. Digital Twins: Towards the Oil and Gas Industry 4.0
Naveenkumar Jayakumar1 and Sushila Choudhari2
1Vellore Institute of Technology, Vellore, Tamil Nadu, India
2Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India

Chapter 8. The Implications and Challenges of Adopting Digital Twin Technology in Healthcare
Ranjana Ramamurthy1, Subha Thangarajan2, Pavithra Premanand1 and Jackson Noah Victor3
1Department of Information Technology, Sri Sai Ram Engineering College, Chennai, India
2Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai, India
3Bigtapp Analytics, Nagpur, India

Chapter 9. Building Digital Twins for the Industrial Internet of Things (IIoT): Enabling Technologies and Its Applications
Veeramuthu Venkatesh1, Pethuru Raj2, R. Anushiadevi1 and T. Suriya Praba1
1School of Computing, SASTRA University, India
2Chief Architect, Reliance Jio Cloud Services (JCS), Bangalore, India

Chapter 10. Applications of Digital Twin Technology
Ritu Gupta1and Bramha Swaroop Tripathi2
1School of CSE, Galgotias University Noida, Uttar Pradesh, India
2Department of Biochemical Engineering and Biotechnology, IIT Delhi, India

Index

Editors’ Biographies

Editor’s ORCID iD

Kavita Saini – 0000-0003-4058-8622

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