Industry 4 0 China 2025 Iot

The book gives an overview about automation technology over the last 50 years, based on my own experiences. It is a good summary for automation since 1970 for all who want to know about the context of automation developments and their standards. It is a fundamental summary and enables the reader to get experience in the complex field of automation. . The Content Introduction, why that book Industry 4.0, China 2025, IoT, AI (Artificial Intelligence) Automation and quality control in Industry 4.0 Automation pyramid and consultative value selling (solution business) Fieldbusses, communication protocols, Human Machine Interfaces (HMI), Hardware ASICs History of smaller and middelsized companies (SMEs) respective Industry 4.0, China 2025, IoT Automation of Automotive at a glance including the history of robots Time schedule oft the automation technology since 1970 The Author Dr. Wolfgang Babel has made two pH.D. thesis in Electrical Engineering in sensor systems as well as in AI and ANN. He knows the automation business since more than 40 years. He has contributed a lot specifics to the automation businesses in 5 major groups of companies. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

The book gives an overview about automation technology over the last 50 years, based on my own experiences. It is a good summery for automation since 1970 for all who want to know about the context of automation developments and their standards. It is a fundamental summery and enables the reader to get experience in the complex field of automation. In detail the question is arised, whether Industry 4.0, China 2025, IoT, AI are a revolution or more an evolution of timewise established availbale technologies in HW, SW and algorithms. Is the hype about Industry 4.0 justified or not? In that context a timelline since 1970 ist shown for AI, ANN, essential milestones in automation, e.g OSI-model, automation pyramid, standards for bus systems, main SW-languages, robots, AI, ANN, pattern recognittion, Ethernet, the 12 most important international field busses, their main features and characterisitcs, foundation of committees, harmonization and standardization efforts, OPC UA and cloud computing, field devices, PLCs, SCADA, MES, ERP and automation history. All that history is seen in the context of μ-controller, DSP (Digital signal processor), FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuit) , Chip on Board. It is include the HW-history, from Intel 8080 to octuple multicore processors. In the same way it is shown the history of field device out from laboratory into the field with all difficulties and benefits of that transition. The issues are summerized in a pyramid of complexity. Requirements for robustness and safety are shown for field devices. In the same way it is shown the development of mainframes, workstations and PC’s. SAP a leading ERP System is explained in mor detail. Specially it is figured out how SAP works and what has to be considered in working with such kind of system. The differences between MES- and ERP-systems are discussed, specially also for future combined SAP/MES systems. Explained are the problems of middlesized companies (SMEs) in dealing with Industry 4.0 and automation. Further examples are given and discussed for automized quality control in automotvie, PCB-handling, CIGS (Solar cell)-production. Also shown is the upgrade for older products and make them ready for automation standards. In detail the history oft he modern robotics is shown for the automotive industry. In summery also is figured out the Industry 5.0 which is just coming up more and more.

Industrie 4.0 and the Internet of Things have been positioned on the international stage as important initiatives of a promising future: Who is dealing in data from the digital factory? Germany has its “Plattform Industrie 4.0”, China “Made in China 2025” and the USA the “Industrial Internet Consortium”. Who is leading the fourth industrial revolution? The digitalization of industry is changing the global economy and society. Technology is supplying the opportunities to do so. Humans must decide just how far artificial intelligence should go, and what machines should learn – to create new and improved work instead of fewer jobs. In addition to Ulrich Sendler and eight German industry and research experts, the CEO of Xinhuanet in Beijing has also contributed to this book.

Digitalization is one of the biggest challenges of the 21st Century. In Germany, the concept of Industry 4.0 goes back to the high-tech strategy of the Federal Government and describes the interlocking of industrial production with the latest information and communication technology. In the intelligent factory, intelligent and networked machines will operate, decide and optimize largely autonomously in cooperation with humans. For China, the German concept Industry 4.0 is a strategic source of inspiration. Among other things, it was a model for the current Chinese innovation and industrial policy strategy Made in China 2025. This book is looking into different aspects of digitalization. Part 1 presents the concept of Industry 4.0, both, from the German and the Chinese perspective. Part 2 describes the Chinese innovation concept Made in China 2025 within different economic sectors in China and discusses to what extent Industry 4.0 might be considered its role model. Part 3 presents the opportunities and challenges of digitalization and big data from a regional perspective. Part 4 analyses the special aspect of the impacts of digitalization for the banking sector and international trade cooperation. Finally, Part 5 focuses on digitalization and innovation considering small and medium-sized companies in particular.

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Industrialization supported by industrial hubs has been widely associated with structural transformation and catch-up. But while the direct economic benefits of industrial hubs are significant, their value lies first and foremost in their contribution as incubators of industrialization, production and technological capability, and innovation. The Oxford Handbook of Industrial Hubs and Economic Development adopts an interdisciplinary approach to examine the conceptual underpinnings, review empirical evidence of regions and economies, and extract pertinent lessons for policy reasearchers and practitioners on the key drivers of success and failure for industrial hubs. This Handbook illustrates the diverse and complex nature of industrial hubs and shows how they promote industrialization, economic structural transformation, and technological catch-up. It explores the implications of emerging issues and trends such as environmental protection and sustainability, technological advancement, shifts in the global economy, and urbanization.

The concept of Internet of Things has silently existed since the late nineteenth century but in the current decade expectations and excitement has peaked. However not many have understood the profound change that it can usher in. How big this change can be and how it can transform our working!! This book aims to bring in this realization with illustrative and practical case studies with comprehensive concepts. From beginners to practitioners in the field of academics or industry, it serves as a comprehensive yet easy to comprehend source of information on the multiple facets of IoT. Simplistic but comprehensive introduction of the facets of primarily the industrial IoT Practical adoption cases explaining the Core technology stack and business applications Comprehensive view of current technologies which complete the IoT delivery ecosystem, followed by overview of IoT enabled new business models. Realistic view of how industrial firms can evolve into the next stage of maturity along with determinants influencing this transformation since manufacturing is envisioned to be a key segment to adopt and benefit from IoT. Detailed analysis of IoT benefits for the universal triad- energy management, logistics optimization and distribution channel management. A full-fledged case study on Adoption of Green manufacturing using IoT. Real world example of gauging End User perception using different models which is important for a successful adoption of IoT. A futuristic visionary view of IoT as comprehended based on evolution of technology and platforms, and finally analysis of the extremely crucial concepts of security, privacy and governance.

This book constitutes the refereed proceedings of the 11th IFIP WG 8.9 Working Conference on Research and Practical Issues of Enterprise Information Systems, CONFENIS 2017, held in Shanghai, China, in October 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in topical sections named: EIS concepts, theory and methods; IoT and emerging paradigm; EIS for industry 4.0; big data analytics; and intelligent electronics and systems for industrial IoT.