Towards an “Intelligent” Editor of Industrial Control Views, Using Rules for Ergonomic Design

Kolski, Christophe; Millot, Patrick; Daele, Agnès Van; Keyser, Véronique De

doi:10.1016/b978-0-08-036937-2.50027-8

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Human Computer Interaction (Hci)1

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1990

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“…These facilities are very similar to those described under the EASE+ environment in Section 2 where the modelling system KEMS was discussed. Related work by Kolseki et al (1988) deals with the additional concept of an expert system for the static ergonomic construction and evaluation of industrial control views (called SYNOP). It is well known that control room operator perception is affected by factors such as the use of colours, contrasts, size of characters, density of information etc.…”

Section: Human Computer Interaction (Hci)mentioning

confidence: 99%

AI in control Systems engineering

Linkens

1990

The Knowledge Engineering Review

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Decision-making is an integral part of any consideration of the discipline of control Systems. This implies feedback of knowledge in some format, whether it is mediated via human or machineoriented methods. The application of AI methodologies to control Systems engineering is described in this review under two broad categories of design and implementation. The design of control strategies is itself divided into phases of modelling and simulation, identification, and algorithm selection and tuning. The aspects of implementation which are covered include real-time considerations such as knowledge-based control and fuzzy logic, multi-sensor data fusion, fault detection and Human–Computer Interaction (HCI).

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Section: Human Computer Interaction (Hci)mentioning

confidence: 99%

AI in control Systems engineering

Linkens

1990

The Knowledge Engineering Review

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show abstract

Towards an “Intelligent” Editor of Industrial Control Views, Using Rules for Ergonomic Design

Cited by 1 publication

References 3 publications

AI in control Systems engineering

AI in control Systems engineering

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