MODELING OF PRE- AND EMERGENCY SITUATIONS AT POWER-BASED CLUSTER FRACTAL THEORY

Abstract

The basics of formation of cluster-cluster aggregations of the information space on the status and change of the technological process parameters of the power equipment of the nuclear power plant unit are considered. The approach of solving the problem of information processing when changing the characteristics of technological process parameters of NPP power plant equipment in the real-time mode is proposed, based on the detection of local heterogeneities of cluster-cluster aggregations in the volume of information space. It is proposed to investigate the alarm signs of the parameters through the spatial signs of the signals, highlighting the most informative ones, those that have the largest change in fractal dimension from the magnitude of the informative signal in space. The physical model of the phase information space is presented. The solution of the problem of recognition of information signs of accident of parameters of technological process of electric power equipment of a power unit of a nuclear power plant based on the detection of local information heterogeneities in the volume of cluster-cluster aggregations using elements of fractal-cluster theory in real time is shown. The specific properties of the volume of information space, which reflect the dynamics of the process of changing incoming signals in the middle of the KCA, are considered. It is shown that the recognition of information signs of the accident parameters of the technological process of NPP power plant equipment is possible based on the detection of local information heterogeneities in the volume of cluster-cluster aggregations using elements of fractal-cluster theory in space and real-time.