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Interated Intelligent Industrial Process Sensing and Control: Applied to and Demonstrated on Cupola Furnaces
Author(s) -
Mohamed Abdelrahman,
R.L. Haggard,
Wagdy Mahmoud,
Kevin L. Moore,
Denis Clark,
Eric D. Larsen,
Paul E. King
Publication year - 2003
Language(s) - English
Resource type - Reports
DOI - 10.2172/808417
Subject(s) - cupola , sensor fusion , controller (irrigation) , process (computing) , intelligent control , embedded system , computer science , engineering , industrial control system , control engineering , control (management) , artificial intelligence , operating system , civil engineering , agronomy , biology
The final goal of this project was the development of a system that is capable of controlling an industrial process effectively through the integration of information obtained through intelligent sensor fusion and intelligent control technologies. The industry of interest in this project was the metal casting industry as represented by cupola iron-melting furnaces. However, the developed technology is of generic type and hence applicable to several other industries. The system was divided into the following four major interacting components: 1. An object oriented generic architecture to integrate the developed software and hardware components @. Generic algorithms for intelligent signal analysis and sensor and model fusion 3. Development of supervisory structure for integration of intelligent sensor fusion data into the controller 4. Hardware implementation of intelligent signal analysis and fusion algorithm

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