Известия Томского политехнического университета: Инжиниринг георесурсов (May 2019)

Efficiency of information support of operator when controlling power engineering facilities

  • Vladimir Pavlov,
  • Tatyana Aksenova,
  • Victor Aksenov

Journal volume & issue
Vol. 326, no. 3

Abstract

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The relevance of the discussed issue is caused by the need of increasing «noise stability» and «capacity» of a person - an operator - when controlling power engineering facilities in cases of uncertainty, as well as at time deficiency. The main aim of the study consists in increasing reliability of functioning of automated engineering facilities operation, applying the information system of operator activity support. The methods of the study: methods of systems analysis, mathematical modeling of complex systems, computer modeling, theory of Markov processes, theory of systems with accidental changing structure. The results. The authors have developed the approach to information support of operator activity which essence consists in possibility of using heuristic abilities of an operator to correct databases, models and knowledge in the information support system at uncertainty. The hints in the information support system when making this or that decision are relevant as they are given in real time. The modernized algorithm of the information support system operation, based on the Bayesian approach, provides additional recognition of the reason of uncertainty occurrence by recording accompanying signs and accounting of this information when determining current situations. The authors studied the speed of the situation recognition algorithm and developed the block diagram of the operator activity information support system. In the diagram the authors took into account at functional level the possibility of receiving the required hint on the current situation, correspondence of changes of the objects phase coordinates to their models, occurrence of the hidden regularities in measurements. The possibility of correcting database, base of models and base of knowledge of decision-making system support is implemented in the research.

Keywords