Multiple Knowledge Exploration Functions for Advanced Reactor Design and Safety in Knowledge Management System Implemented in the ARKADIA

Abstract Japan Atomic Energy Agency (JAEA) is developing ARKADIA (Advanced Reactor Knowledge- and AI-aided Design Integration Approach through the whole plant lifecycle) to meet the expectations for safe, economical, and sustainable carbon-free energy. The Knowledge Management System (KMS) included in ARKADIA consolidates technical information on Sodium-cooled Fast Reactor (SFR) development obtained from “Monju” and other projects. Currently, several search functions are being developed in this KMS according to the characteristics of the information requested by users. First, indexes are added to the documents to quickly find specific data in KMS through the portal site. In addition, a search function has been enhanced to enable cross-search of all information registered in KMS. For information regarding facilities, an enhancement of the search function for Computer Aided Design (CAD) drawings and point cloud data has been introduced. With this function, confirmations that used to require on-site visits can now be handled remotely. Furthermore, the possibility of information retrieval using knowledge graphs is being developed to enhance efficiency of information retrieval, along with the evaluation flows in ARKADIA. This function can integrate rules, standards, interpretations, guidelines, design information, and related feasibility check information into a knowledge graph. Finally, milestones in KMS development, integration with the other two systems, and further enhancements are presented.