Exploration of an AI Agent-Based Management Model for Elemental Analyzers

To address the management pain points of university large-scale instrument platforms, such as lagging information transmission and passive service models, the innovative application of AI agents in elemental analysis management was studied in this work. Based on Nankai University’s “NK-GeniOS” platform, the systematic development of the “Elemental Analysis Testing Assistant” agent has been completed. By integrating knowledge graphs in the fields of elemental analysis and large-scale instrument management, as well as business process rules, this agent realizes the digital mapping of core functions including instrument consultation, appointment navigation, and sample guidance. Currently, the agent has finished system development and internal testing, and has obtained university approval for launch on the “NK-GeniOS” platform. Its subsequent application effects will provide important practical basis and paradigmatic reference for building a new generation of smart testing centers and promoting the digital transformation of the scientific research support system.