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Acknowledgments<br />
The editors wish to express their heartfelt thanks to their wives Barbara Wilamowski and Edie Irwin for<br />
their help and support during the execution of this project.<br />
xxiii<br />
© <strong>2011</strong> by Taylor and Francis Group, LLC
xxii Preambles In this manner, it is possible to remotely observe and control any equipment or process in industry. Chapter 66 focuses on methods that permit the handling of multiple processes with the ability of easy reconfiguration. Chapter 67 shows how to develop Internet robots that are capable of performing autonomous processes inclosing a search in the Internet. Examples in this chapter were developed in PERL, but this can also be developed in PHP and Python. This part also illustrates the philosophy of distributed programming, in which the software need not be executed locally. Preamble to Part V: Outlook Dietmar Dietrich and Dietmar Bruckner Institute of Computer Technology Vienna University of Technology Vienna, Austria Gerhard Zucker Energy Department Austrian Institute of Technology Vienna, Austria The final part of this book examines the future of <strong>industrial</strong> <strong>communication</strong> <strong>systems</strong>. With the rapidly increasing capabilities of computation and <strong>communication</strong> <strong>systems</strong>, we are able to create <strong>systems</strong> that have long been only concepts or even dreams. Processes become more complex because more data are available, and these data can be processed by more sophisticated algorithms. New ideas are necessary to control complexity. On the one hand, these are new paradigms for <strong>communication</strong> structures such as extended vertical integration of <strong>systems</strong>, service-oriented architecture, and hybrid local networks. On the other hand, <strong>industrial</strong> electronics as a whole can profit from knowledge that has been gathered in other disciplines such as artificial intelligence using statistical methods to process huge amounts of data with the aim of understanding the human mind, the most sophisticated control and <strong>communication</strong> device that we have at hand. This part briefly touches upon these topics and glances through ongoing developments that may in the future contribute to new generations of <strong>industrial</strong> <strong>communication</strong> <strong>systems</strong>. © <strong>2011</strong> by Taylor and Francis Group, LLC
Acknowledgments The editors wish to express their heartfelt thanks to their wives Barbara Wilamowski and Edie Irwin for their help and support during the execution of this project. xxiii © <strong>2011</strong> by Taylor and Francis Group, LLC
- Page 2 and 3: The Industrial Electronics Handbook
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16 Industrial Agent Technology Alek
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20 Network-Based Control Josep M. F
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32 Profibus Max Felser Bern Univers
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34 WorldFip Francisco Vasques Unive
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40 PROFINET Max Felser Bern Univers
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50 ZigBee Stefan Mahlknecht Vienna
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FIGURE 55.1 CPU IN-Log IN-Num OUT-l
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© 2011 by Taylor and Francis Group
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59-2 Industrial Communication Syste
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59-4 Industrial Communication Syste
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59-6 Industrial Communication Syste
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59-8 Industrial Communication Syste
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59-10 Industrial Communication Syst
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60 User Datagram Protocol—UDP Ale
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User Datagram Protocol—UDP 60-3 8
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User Datagram Protocol—UDP 60-5 F
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User Datagram Protocol—UDP 60-7 F
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User Datagram Protocol—UDP 60-9 I
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61 Transmission Control Protocol—
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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Transmission Control Protocol—TCP
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62-2 Industrial Communication Syste
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62-4 Industrial Communication Syste
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62-6 Industrial Communication Syste
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62-8 Industrial Communication Syste
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62-10 Industrial Communication Syst
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62-12 Industrial Communication Syst
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62-14 Industrial Communication Syst
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63-2 Industrial Communication Syste
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63-4 Industrial Communication Syste
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63-6 Industrial Communication Syste
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63-8 Industrial Communication Syste
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64-2 Industrial Communication Syste
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64-4 Industrial Communication Syste
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64-6 Industrial Communication Syste
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64-8 Industrial Communication Syste
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64-10 Industrial Communication Syst
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65 Semantic Web Services for Manufa
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Semantic Web Services for Manufactu
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Semantic Web Services for Manufactu
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Semantic Web Services for Manufactu
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Semantic Web Services for Manufactu
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Semantic Web Services for Manufactu
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66-2 Industrial Communication Syste
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66-4 Industrial Communication Syste
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66-6 Industrial Communication Syste
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66-8 Industrial Communication Syste
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V Outlook 67 Trends and Challenges
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67-2 Industrial Communication Syste
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67-4 Industrial Communication Syste
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68 Processing Data in Complex Commu
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Processing Data in Complex Communic
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Processing Data in Complex Communic
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Processing Data in Complex Communic
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Processing Data in Complex Communic
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Processing Data in Complex Communic
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