Design of a Nuclear Monitoring System Based on a Multi-Sensor Network and Artificial Intelligence Algorithm

Nuclear power is a sustainable energy source, but radiation management required for its safe use. Radiation-detection technology has been developed the of radioactive materials in nuclear facilities performance may vary depending on size and complexity structure facilities. In this study, monitoring system using multi-sensor network was designed to monitor large facility. Additionally, an artificial-intelligence-based localization algorithm accurately locate materials. The parameters were optimized Geant4 Application Tomographic emission (GATE) toolkit, based evaluation Artificial Neural Network (ANN) Decision Tree (D-Tree) models. article, we present feasibility proposed by converging detection artificial intelligence technology.