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Application of knowledge-based systems to optimised building maintenance management

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Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 604))

Abstract

This paper outlines research into the application of knowledge-based systems (KBS) to maintenance management within an integrated building management system (IBMS). Many buildings already have maintenance scheduling programs which schedule breakdown and preventative maintenance work. There is a requirement to ‘tune’ this scheduling to best fit the exact requirements of the building and as these change with time there is a need for a continuously adaptive system especially in the field of preventative maintenance. The goal is to maximise equipment reliability and minimise maintenance, repair and replacement costs by the optimum scheduling of man power and resources. The concept is illustrated by the use of a case study into lighting systems using data from the Lloyd's 1986 building in London.

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Author information

Authors and Affiliations

  1. Brunel University, UK

    G. Clark & P. Mehta

  2. Dunwoody & Partners, UK

    T. Thomson

Authors
  1. G. Clark
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  2. P. Mehta
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  3. T. Thomson
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Editor information

Fevzi Belli Franz Josef Radermacher

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© 1992 Springer-Verlag Berlin Heidelberg

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Clark, G., Mehta, P., Thomson, T. (1992). Application of knowledge-based systems to optimised building maintenance management. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024957

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  • DOI: https://doi.org/10.1007/BFb0024957

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55601-5

  • Online ISBN: 978-3-540-47251-3

  • eBook Packages: Springer Book Archive

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