Intelligent system for monitoring the temperature regime of the primary circuit of a nuclear power plant power unit based on fractal-cluster analysis
Abstract
Actuality. Ensuring the effective and safe operation of nuclear power units requires constant monitoring of the temperature parameters of the primary circuit. Of particular importance is the detection of non-standard coolant operating modes and the prevention of heat transfer crises that can lead to accidents. Modern methods of monitoring the temperature regime do not always take into account the complex spatial structure of thermal processes, which reduces their efficiency. Therefore, there is a need to improve the methods of analyzing the temperature field based on the latest approaches, in particular fractal-cluster analysis.
Purpose. Development and improvement of methods for analyzing the temperature field of the first circuit of the VVER-1000 reactor plant, taking into account fractal-cluster features, to increase the accuracy of monitoring, predict emergency operating modes, and optimize the information and control systems of the software and hardware complex of the automated process control system of the power unit of the nuclear power plant.
Research methods. The work uses fractal analysis methods to study temperature fluctuations in the primary circuit of the reactor. A correlation analysis was conducted to establish the relationship between the coolant temperature and the reactor power level. A comparative analysis of existing temperature monitoring systems was performed with further data generalization and formulation of proposals for the integration of new approaches into information and control systems of nuclear power plants.
Results. A close relationship between the temperature parameters of the coolant and the dynamics of the reactor plant operation was shown. A new monitoring method was proposed that takes into account the cluster structure of thermal processes and allows identifying potential crisis zones in heat transfer. The method provides increased sensitivity to changes in the temperature field and can be used for predictive analysis in real time. The advantages of integrating such an approach into the power unit control system were determined.
Conclusions. The proposed method of fractal-cluster analysis of the temperature field allows increasing the efficiency of control over thermal processes in the first circuit of the power unit of a nuclear power plant. It contributes to increasing the reliability of reactor equipment, reducing the risks of crisis situations, and extending the service life. The results obtained can be used to improve control systems and ensure the overall safety of nuclear power units.
Keywords: fractal cluster analysis, information and control systems, monitoring, forecasting, nuclear facility safety
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