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Content archived on 2024-06-10

Explanation in Online Help and Offline Training Based on Continuous Simulation

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

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The objective of this project was to develop Intelligent Simulation Systems that could be used for effective on-line decision support and training situations, thereby improving efficiency, safety and quality of the associated industrial processes. The intelligent simulation systems utilise Artificial Intelligence based techniques and advanced simulation techniques to provide perspicuous interaction and explanation systems that can be used as the basis for: - Intelligent Simulation Systems for on-line decision support - Intelligent Simulation Systems for off-line training - Intelligent Simulation Systems for combined training and on-line support. Based on pre-existing simulation systems, four application systems were built as examples of the common, generic technology. These represent important sectors of the continuous process industries that now account for almost half of the current European manufacturing capability. Specifically, these applications are: fossil fuel power generation, paper and pulp production, combined cycle gas turbines for power generation and energy distribution centres. All of these applications will result in a reduction in plant down time through improved operator training and on-line support, which is important since the cost of new plant is significant and therefore more efficient use of existing plant is vital. The EXTRAS project has made a real advance in the state of the art with regard to intelligent simulation systems, nevertheless further developments are needed in order to capitalise fully on the results: - The toolkit needs to be more robust. - More work needs to be done on the criteria for switching.. - The applications require polishing so that they become truly usable by the end users. The main lessons learned are that, despite the gains brought by the EXTRAS tools, the development of intelligent simulation systems still requires a considerable amount of effort by specialised engineers and developers. However, the system as it is, can be definitely be used profitably and the experience gained in the framework of the project, will allow the development of future simulator-based explanation systems in a cost effective way.

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