Modern Industrial Automation Software Design

Wang, Lingfeng / Tan, Kay CHen

1. Auflage März 2006
352 Seiten, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-471-68373-5

John Wiley & Sons

Kurzbeschreibung

Developing industrial automation software increasingly requires integration of expertise across many disciplines, from software engineering to data communication to resource management. This book serves as a practical resource for researchers, and as a useful reference for practicing engineers with advanced research and development functions. Professors can use this book in teaching industrial automation-related courses, and students will find the material essential in applying what they learned to real-world industrial practice.

Weitere Versionen

In industrial settings, using modern technology, machinery, and integrated systems to their maximum potential often depends on well-designed automation software. As tech-nologies continually develop and evolve, practicing engineers and academic researchers must continually develop the software to run these technologies. Modern Industrial Automation Software Design offers readers the critical tools needed to create software that meets today's dynamic industrial challenges.

This up-to-date resource first lays out the knowledge base that allows purposeful and disciplined automation software development. Then, moving from general knowledge to its specific use, the authors discuss five typical applications in real-world industrial automation software design. These include:
* An object-oriented reconfigurable software design
* A flexible measurement point management system
* An automatic blending system using multithreaded programming
* A flexible automatic test system for rotating turbine machinery
* An Internet-based online real-time condition monitoring system

Using this practical, hands-on approach, Modern Industrial Automation Software Design covers important new software innovations, such as:

Modern software engineering * Object-oriented methodology * Visual/graphical programming platforms * Graphical user interfaces * Virtual instrumentation * Component-based systems * Systematic database management * Dynamic data exchange * Software performance testing

Modern Industrial Automation Software Design brings together multiple disciplines into a cutting-edge reference suitable not only for students and practitioners of industrial measurement and control, but also for the general reader interested in new prospects for industrial production and management.

Preface.

Acknowledgments.

Acroyms.

Part I. Design Principles of Modern Industrial Automation Systems.

1. Introduction.

2. Virtual Instrumentation.

3. Component-Based Measurement Systems.

4. Object-Oriented Software Engineering.

5. Graphical User Interface Design.

6. Database Management.

7. Software Testing.

Part II. Real-World Applications.

8. Overview.

9. An Object-Oriented Reconfigurable Software.

10. Flexible Measurement Point Management.

11. A Blending System Using Multithreaded Programming.

12. A Flexible Automatic Test System for Rotating Turbine Machinery.

13. An Internet-Based Online Real-Time Condition Monitoring System.

14. Epilog.

Index.

L. F. Wang received his B.Eng degree in measurement and instrumentation from Zhejiang University, China in 1997, a M.Eng degree in instrumentation science and engineering from Zhejiang University, China in 2000, and a M.Eng degree in electrical and computer engineering from National University of Singapore, Singapore in 2002. Currently he is a researcher in the Electrical and Computer Engineering Department at the University of Virginia, U.S.A. He has published over 40 technical papers in the fields of industrial measurement, testing, and supervision, fault-tolerant control, and autonomous agents. He has served as a technical program committee member for some international conferences. He is also an active reviewer for many leading international journals and conferences. He was "one of the valued and trusted contributors" in AUTOTESTCON 2000. His current research interests include networked and embedded software technology for aerospace applications, and adaptive resource management in real-time systems.

K. C. Tan received the B.Eng. degree with first class honors in electronics and electrical engineering and the Ph.D. degree from the University of Glasgow, Glasgow, Scotland, in 1994 and 1997, respectively. He was with the Center for Systems & Control and the Evolutionary Computing Group, Glasgow, Scotland, before joining the Department of Electrical and Computer Engineering, National University of Singapore, as an Assistant Professor in 1997. He has authored or coauthored more than 100 journal and conference publications and has served as a program committee or organizing member for many international conferences. He currently holds Associate Editor appointments in IEEE Transactions on Evolutionary Computation and International Journal of Systems Science (Taylor and Francis, London). His current research interests include computational intelligence, evolutionary computing, intelligent control, and engineering designs optimization.

L. Wang, University of Virginia; K. C. Tan, National University of Singapore