Skip to main content
SpringerLink
Log in

A Real-Time Artificially Intelligent Monitoring System for Nuclear Power Plants Operators Support

  • Published:
Real-Time Systems Aims and scope Submit manuscript

Abstract

In this paper, we describe the artificially intelligent monitoring system (AIMS), a framework for power plants real-time monitoring systems (RT/MS), developed at Federal University of Rio de Janeiro (COPPE/UFRJ) and applied to the Brazilians Angra-1 and Angra-2 nuclear power plants. The kernel of AIMS is an object-oriented knowledge-base system, in which acquired and calculated variables, as well as their interdependencies, are mapped into a hierarchical objects network where the rules and real-time constraints are implicit in objects operators and network topology. The state of monitored variables updates a fact-base, which is used by a real-time inference-machine (RT/IM) to activate and synchronize the fire of the knowledge-base (KB) rules. The operators man–machine interface (MMI) are, then, updated. Besides, also following the object-oriented paradigm, AIMS provides many facilities for building and maintaining the KB and the operators MMI. In order to illustrate the use of AIMS, we show part of a real application in Angra-2 NPP.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Cullbert, C., Hamilton, D., and Kelley, K. 1991. State-of-the-practice in knowledge-based systems verification and validation. Expert Systems with Applications 3: 403-410.

    Google Scholar 

  • Folleso, K., Fordestrommen, K., and Holmström, C. 1994. ISACS-1-a limited prototype of the advanced control room. In Proceedings of the International Atomic Energy Agency, pp. 11-19.

  • Harrison, P. R., and Ratcliffe, P. 1991. Towards standard for the validation of expert systems. Expert Systems with Applications 2: 251-258.

    Google Scholar 

  • Machado, L., Schirru, R., and Martinez, A. S. 1997. Modelagem do conhecimento para sistemas inteligentes de monitoracção em segurancça de Usinas Nucleares, X Encontro Nacional de Física de Reatores (in Portuguese).

  • Martinez, A. S., Oliveira, L. F. S., Schirru, R., Silva, R. A., and Thomé, Z. D. 1986. A new concept of safety parameter display system. In Annals of the Seminar on Nuclear Engineering in Latin America. ANS, Mexico.

    Google Scholar 

  • NRC. 1981. United States Nuclear Regulatory Commission, Functional Criteria for Emergency Response Facilities. Final Report NUREG-0696, USNRC, Washington, DC.

    Google Scholar 

  • NRC. 1995. NUREG/CR-6316, Guidelines for the Verification and Validation of Expert System Software and Conventional Software, Office of the Nuclear Reactor Regulation, US Nuclear Regulatory Commission, Washington, DC and Electric Power Research Institute.

    Google Scholar 

  • Qwre, F., and Nilsen, S. 1991. Integration of a real-time expert system and modern graphic display system in a Swedish nuclear power plant control room. Expert Systems with Applications 3: 195-205.

    Google Scholar 

  • Rasmus, D. W. 1995. Ruling classes: the heart of knowledge-based systems. Object Magazine July/August: 41-43.

  • Robinson, G., and Mullhi, J. S. 1993. A modern implementation of G2 on a solvent extraction process. The Potential of Knowledge Based Systems in Nuclear Installations. IAEA, pp. 81-86.

  • Taylor, D. 1995. Building Intelligent Objects. Object Magazine July/August: 18-19.

Download references

Author information

Authors and Affiliations

  1. PEN/COPPE Ilha do Fundão s/n, Universidade Federal do Rio de Janeiro, 21945-970, P.O. Box 68509, Rio de Janeiro, Brazil

    Roberto Schirru

  2. DIRE/IEN Ilha do Fundão s/n, Comissão Nacional de Energia Nuclear, 21945-970, P.O. Box 68550, Rio de Janeiro, Brazil

    Cláudio M. N. A. Pereira

Authors
  1. Roberto Schirru
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cláudio M. N. A. Pereira
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schirru, R., Pereira, C.M.N.A. A Real-Time Artificially Intelligent Monitoring System for Nuclear Power Plants Operators Support. Real-Time Systems 27, 71–83 (2004). https://doi.org/10.1023/B:TIME.0000019127.50572.9b

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:TIME.0000019127.50572.9b

Search

Navigation