结合AI智能体的元素分析仪管理模式探索

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

  • 摘要: 针对高校大型仪器平台存在的信息传递滞后、服务模式被动等管理痛点,本研究探索了AI智能体在元素分析管理中的创新应用。基于南开大学“NK-GeniOS”平台,系统性地完成了“元素分析测试小助手”智能体的构建工作。该智能体通过融合元素分析和大型仪器管理领域的知识图谱和业务流程规则,实现了仪器咨询、预约导航与样品指导等核心功能的数字化映射。目前,智能体已完成系统开发与内部测试,并已通过学校审核在“NK-GeniOS”平台上线,其后续应用效果将为构建新一代智慧测试中心、推动科研支撑体系数字化转型提供重要的实践依据与范式参考。

     

    Abstract: 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.

     

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