Assessing Algorithm of the Risk Potential of Critical Infrastructure of a NPP Based on Technical and Economic Indicators

Abstract

For significant objects of critical information infrastructure, including nuclear facilities, methods for findings anomalies, malfunctions, and diagnostics, as well as operator information support systems (OISS), are playing an increasingly important role in order to increase safety and reliability of operation. One of the tasks to be solved within the framework of the OISS is the task of calculating technical and economic indicators (TEI) and its relation with ensuring the normal operation of NPPs. TEIs characterize the effectiveness, reliability, and longevity of power equipment during its operation. The conditions for optimal operation of nuclear power plants determined in the process of analyzing TEIs. Therefore, the analysis of indicators is one of the essential tasks of the automated process control system of nuclear power plants. The informational task of TEIs in real-time based on data mining and forecast models of the risk potential of the critical infrastructure of the facility will allow operational personnel to take measures in advance to prevent the technological process from exceeding permissible operating limits.