E-Book, Englisch, 250 Seiten
Goel / Jain / Pandey Cloud Computing and IoT Strategies for Industry 5.0 Innovation
1. Auflage 2026
ISBN: 978-981-5322-64-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
E-Book, Englisch, 250 Seiten
ISBN: 978-981-5322-64-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection
Cloud Computing and IoT Strategies for Industry 5.0 Innovation is a comprehensive study centred on Industry 5.0 principles, highlighting the integration of human-centric, sustainable, and resilient intelligent digital technologies. The book presents a comprehensive exploration of how cloud computing, the Internet of Things (IoT), edge intelligence, and advanced data analytics are transforming the modern industrial ecosystem
With ten structured chapters, the book progresses from foundational concepts such as Industry 5.0 evolution, cloud service models, and IoT architectures to advanced topics including secure cloud infrastructures, cryptographic frameworks, and machine-learning-based threat detection. It further explores the synergy between edge and cloud computing for real-time processing, cloud-driven data analytics, and integration frameworks across sectors such as manufacturing, agriculture, and smart cities. The concluding chapters address critical issues of cybersecurity, data privacy, and emerging trends shaping the future of cloud-IoT convergence.
Key Features:
Comprehensive coverage of cloud computing, IoT, edge intelligence, and Industry 5.0 technologies
Detailed exploration of secure cloud infrastructures, cryptography, and cybersecurity frameworks
Integrated perspectives on AI, blockchain, and edge analytics for intelligent industrial applications
Practical frameworks and real-world case studies across manufacturing, smart cities, and agriculture
Focuses on human-machine collaboration, resilience, and sustainable industrial innovation
Discussions of emerging trends, privacy challenges, and future research directions
Readership:
Researchers, academics, students, and professionals in computer science, cloud computing, IoT, and Industry 5.0
Autoren/Hrsg.
Weitere Infos & Material
Industry V.0: The Significance of Manufacturing Technologies: Industrial Net of Things, Cloud Computing, and Synthetic Intelligence
Rajesh V. Patil1, *
Abstract
Manufacturers have seen noteworthy variations as a result of Industry 5.0 in recent years. They have seen firsthand the growth of robotics, cloud computing, and the Net of Things (NoT) in driving automation and data technology. Thanks to the seamless integration of software, hardware, and staff, smart factories are becoming increasingly prevalent, and an increasing number of manufacturers are experiencing success with “as-a-Service” business models. Industry 5.0 is now significantly more accessible to small and medium-sized businesses due to its growing maturity. Utilizing technology that gathers, organizes, and combines data with information from your ERP to improve your shop floor efficiency and provide insights is now a lot simpler. These days, it costs much less time, money, and effort for businesses of all sizes to gain real-world experience.
These days, there's a shift away from the industry 5.0 model's emphasis on efficiency towards the realization that mechanized, smart plants must nevertheless prioritize people. More and more people are emerging to believe that social and technical systems can coexist to increase resilience, sustainability, and customization. Restoring people to the centre of industrial production will allow Industry 5.0 to make better use of their skills in creativity, critical thinking, and problem-solving.
This work focuses on how Industry 5.0 uses contemporary technology (Industrial Net of Things (INoT), AI, and Cloud Computing) in significant ways. It intends to investigate the possible uses, advantages, and difficulties related to the implementation of the technologies in smart industries. This survey's contributions include giving a thorough summary of the body of research on the applications, procedures, technologies, and prospects around the usage of INoT, AI, and cloud computing in industry V.0 . It pays close attention to several concerns linked to synthetic intelligence (AI) and big data in smart sectors, such as security and privacy issues with data, challenges related to interpretation, and adversarial attacks on AI models. This chapter
also gives an overview of INoTs, a crucial component of Industry 5.0, and examines the methods used by AI and big data approaches to extract insights from the data created in INoTs.
* Corresponding author Rajesh V. Patil: Department of Mechanical Robotics and Automation Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune 411038, India; E-mail: patilraje@gmail.com
INTRODUCTION
The term “automation” has a new and more sophisticated connotation in today's production environment. Manufacturing has always included automated procedures and robotic support, which bring previously unheard-of speed and efficiency to handling-intensive, repetitive activities. In terms of the modes of production, we are living through a new industrial revolution. This is caused by mechanization as well as control and information systems, which are far more effective and economical than humans at handling complicated machinery and processes. We refer to these systems as industrial automation. Industry V.0 automation offers considerable improvements in manufacturing process quality and flexibility, as well as a large reduction in task margins of error. Its added value is no longer limited to efficiency and profitability. Digital twins exercise virtual models that are the foundation for well-informed decision-making while keeping an eye on the process lifetime. A process automation platform can cut the margin of error in procedures where a human worker's effort can result in up to a 10% error rate to as little as 0.00001% [1].
After mass production, mechanical production, and the digital revolution, we now have what is referred to as “Industry V.0” which marks the start of the fourth manufacturing revolution. Manufacturing's relationship to Industry V.0 over the past few years has focused on applying connectivity innovations, like the Net of Things (NoT), advanced robotics, cloud computing, big data analytics, and synthetic intelligence (AI) and machine learning, to make more precise, intelligent, and efficient systems and procedures.
INoT (Industrial Net of Things) and Industry V.0 are two essential ideas required to be competitive in today's manufacturing industry. These and other industrial technological developments are still growing and expanding today to link automation technologies, control, and observe real-time networks of electronics, appliances, robotics, machinery, and cloud information through the Industrial Net of Things (INoT). In this sense, it minimizes the need for human interaction and maximizes productivity by enabling them to learn, function, and operate automatically. Automated production needs to be deployed as a complete solution that covers all of the business's operations and allows information to flow through all its parts to reach its greatest potential [2]. But while the goal of Industry V.0 was to increase value over interconnected factories and working chains, the upcoming appears to lie in bringing human interaction back into the process. In order to enable more human-machine integration (HMI), called “Industry V.0” represents a major shift in emphasis, involving technologies and procedures like augmented reality and cooperative robotics, or cobots. Fig. (1) shows the modernization of applications using Industry V.0.
Fig. (1))Modernization of application using industry V.
INDUSTRY V.0 INDUSTRIAL TECHNOLOGIES
The digital impact of Industry V.0 continues to be driven by connectivity, automation, and optimisation. While new technologies within smart factories are enabling this transition, human and technology cooperation is necessary to fully realise the promise of Industry 5.0's HMI and Manufacturing 5.0's full potential. The industrial metaverse, in particular, is a critical facilitator for the interaction of various components. The metaverse can be divided into three categories: commercial, industrial, and consumer. The industrial metaverse connects the physical and digital worlds to showcase how manufacturers create, construct, and function. Manufacturers are able to show digital twins or replicas of any manufacturing process, supply chain, product, or logistics by using sensors to collect data and process it into massive libraries.
Everyone may use this to create and test concepts before they are produced, optimise product creation across making lines, examine operational outputs in real time, and perform instantaneous simulations from line workers to department heads. The optimisation of predictability and reliability is facilitated by these digital representations, which lower downtime and energy expenses. The industry V.0 is based on five components as shown in Fig. (2) [3].
Fig. (2))Industry V.0 is based on five components.
The drive to digitise operations and production is being significantly impacted by these technologies.
Industrial Net of Things (INoT)
INoT makes it possible for people, machines, and data to connect and work together in the manufacturing sector. It basically incorporates seamlessly connected and interfaced Internet of Things sensors, equipment, and data into industrial processes. Every part of the production process may be associated with NoT apparatuses, which also collect data that may be utilised to enhance the overall efficiency.
Synthetic Intelligence (SI)
Machine learning-enhanced tools offer cutting-edge outcomes for an Industry V.0 activated the smart factory. AI businesses may optimise machinery operations, make real-time workflow adjustments, and keep an eye on things to anticipate issues and plan upkeep before they affect client orders by using the data generated by a connected factory.
Cloud Computing
This kind of speed and scale in analytics calls for flexible storage options and burstable processing power. This capacity and flexibility are made possible by cloud-based information repositories, which also offer a single source of truth for the entire organisation. Additionally, cloud-based solutions provide remote access and machine operating system and data monitoring, offering excellent operational and efficiency insight.
NET OF THINGS
A networked system of devices, computers, and other objects or individuals is known as the Net of Things (NoT). Over a network, data can be automatically transferred. Wearable technology, connected automobiles, cities, residences, and smart appliances are a few examples of NoT in action. We have...
