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Applying CBR and Object Database Techniques in Chemical Process Design

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Case-Based Reasoning Research and Development (ICCBR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2080))

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Abstract

The aim of this paper is to introduce a new method for finding and reusing process equipment design and inherently safer process configurations by case-based reasoning (CBR) and object database techniques. CBR is based on finding most alike existing solutions and applying the knowledge of their properties for solving new problems in the early phases of design. This supports design engineer’s knowledge by allowing a systematic reuse of existing experience in order to improve the quality and safety of new designs. The possibilities of CBR and object database techniques in chemical process engineering field have been illustrated by two prototype applications.

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Author information

Authors and Affiliations

  1. Laboratory of Chemical Engineering and Plant Design, Helsinki University of Technology, 6100, FIN-02015, HUT, Finland

    Timo Seuranen & Markku Hurme

  2. Oy Keskuslaboratorio — Centrallaboratorium Ab, 70, FIN-02151, ESPOO, Finland

    Elina Pajula

Authors
  1. Timo Seuranen
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  2. Elina Pajula
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  3. Markku Hurme
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Editor information

Editors and Affiliations

  1. Naval Research Laboratory, Code 5510, Navy Center for Applied Research in Artificial Intelligence, 4555 OverlookAvenue, SW, Washington, DC, 20375, USA

    David W. Aha

  2. Computer Science Department, University of Auckland, Private Bag 92019, Auckland 1, New Zealand

    Ian Watson

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© 2001 Springer-Verlag Berlin Heidelberg

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Seuranen, T., Pajula, E., Hurme, M. (2001). Applying CBR and Object Database Techniques in Chemical Process Design. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_52

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  • DOI: https://doi.org/10.1007/3-540-44593-5_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42358-4

  • Online ISBN: 978-3-540-44593-7

  • eBook Packages: Springer Book Archive

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