Industry Automation The Technologies Platforms And Use Cases
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Industry Automation: The Technologies, Platforms and Use Cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.
Industry Automation: The Technologies, Platforms and Use Cases
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.
Industry 4.0
Explore the current state of the production, processing, and manufacturing industries and discover what it will take to achieve re-industrialization of the former industrial powerhouses that can counterbalance the benefits of cheap labor providers dominating the industrial sector. This book explores the potential for the Internet of Things (IoT), Big Data, Cyber-Physical Systems (CPS), and Smart Factory technologies to replace the still largely mechanical, people-based systems of offshore locations. Industry 4.0: The Industrial Internet of Things covers Industry 4.0, a term that encapsulates trends and technologies that could rewrite the rules of manufacturing and production. What You'll Learn: Discover the Industrial Internet and Industrial Internet of Things See the technologies that must advance to enable Industry 4.0 and learn what is happening today to make that happen Observe examples of the implementation ofIndustry 4.0 Apply some of these case studies Discover the potential to take back the lead in manufacturing, and the potential fallout that could result Who This Book is For: Business futurists, business strategists, CEOs and CTOs, and anyone with an interest and an IT or business background; or anyone who may have a keen interest in how the future of IT, industry and production will develop over the next two decades.