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Knowledge-based vision systems in real-time control

Annual Review in Automatic Programming 1989年第PART 2期15卷 13-18页

作者： Rodd, M.G Wu, Q.M Institute for Industrial Information Technology Department of Electrical and Electronic Engineering University of Wales Swansea United Kingdom

This review paper takes a user-orientated view of knowledge-based computer vision systems - a viewpoint biased towards the practical applications of the technology as a component in a real-time control system. It investigates the characteristics of this area of application and defines the potential role of vision-based systems. On the basis of this, it reviews current progress in fulfilling these roles. It highlights critical areas - especially the need to recognise that the industrial environment requires solutions which can co-exist in those environments, and can react at speeds which are acceptable in the closed-loop control situation of which they form a part. It is argued that simply bringing together well-understood low-level processing systems and currently-available expert systems-based high-level processing, is bound to fail and indeed partially accounts for the many unsuccessful installations. In practice, a total systems-approach must be taken, recognising the realities of the application - including the still-unresolved problems relating to knowledge-acquisition. The paper concludes that low- and high-level processing must be integrated into highly flexible, explicit knowledge-based solutions to produce systems which are capable of fast, deterministic performance, but have inherent learning capabilities to cope with changing applications. © 1990.

关键词： AI in Real-Time control artificial intelligence in control Computer Vision Expert Systems Image Processing Knowledge-Based Computer Vision

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An Intelligent System for Planning Plant-wide Process control Strategies

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IFAC Proceedings Volumes 1987年第5期20卷 231-238页

作者： G. Stephanopoulos J. Johnston R. Lakshmanan R. Stewart Labor. Intelligent systems in Process Engineering Dept. of Chem. Engng. MIT Cambridge MA 02115 USA Dept. Chem. Engng. Northeastern Univ. Boston MA 02115 USA

This paper describes the methodological and implementational aspects of an intelligent system which is being developed for the planning of plant-side process operations such as start-up, response to faults, optimization, etc. In particular, it shows how knowledge is modeled, how the planning methodology is structured, and how current developments in artificial intelligence and LISP computers are being used to provide the implementational framework.

关键词： Planning process operations control configurations knowledge-based systems object-oriented programming artificial intelligence in control

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Knowledge-Based Vision Systems in Real-Time control

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IFAC Proceedings Volumes 1989年第13期22卷 13-18页

作者： M.G. Rodd Q.M. Wu Institute for Industrial Information Technology Department of Electrical & Electronic Engineering University of Wales Swansea UK

This review paper takes a user-orientated view of knowledge-based computer vision systems – a viewpoint biased towards the practical applications of the technology as a component in a real-time control system. It investigates the characteristics of this area of application and defines the potential role of vision-based systems. On the basis of this, it reviews current progress in fulfilling these roles. It highlights critical areas – especially the need to recognise that the industrial environment requires solutions which can co-exist in those environments, and can react at speeds which are acceptable in the closed-loop control situation of which they form a part. It is argued that simply bringing together well-understood low-level processing systems and currently-available expert systems-based high-level processing, is bound to fail and indeed partially accounts for the many unsuccessful installations. In practice, a total systems-approach must be taken, recognising the realities of the application – including the still-unresolved problems relating to knowledge-acquisition. The paper concludes that low- and high-level processing must be integrated into highly flexible, explicit knowledge-based solutions to produce systems which are capable of fast, deterministic performance, but have inherent learning capabilities to cope with changing applications.

关键词： artificial intelligence in control Expert Systems Computer Vision Knowledge-Based Computer Vision AI in Real-Time control Image Processing

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