A Conceptual Model for Integrative Monitoring of Nuclear Power Plants Operational Activities Based on Historical Nuclear Incidents and Accidents

Abstract

A conceptual model for improvement in nuclear power plant operational safety and monitoring is presented. The innovation of this model is based on a calibrated software that utilizes an interactive component, thereby, eliminating a Corrective Action Management Plan’s sole dependence on informational databases. Artificial intelligence tools are used to build this model and, subsequently, support the monitoring and decision-making process software. Furthermore, the model integrates past historical knowledge of accidents and incidents occurring within the nuclear industry. Overall, intelligent analytic methods coupled with encoded accidents and incidents experiences synergize an inference system for nuclear operations monitoring and corrective action management. The proposed concept is challenged on two examples specific to nuclear power plants’ operation.