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基于AI智能体识别的SCD文件自动集成工具设计

Design of an Automatic Integration Tool for SCD Files Based on AI Agent Recognition

  • 摘要: 针对当前SCD文件集成工序依赖人工操作,集成效率不高,以及SCD文件集成水平受工作人员技术能力影响的问题,设计了一种基于AI智能体识别站点特征的SCD文件自动集成工具。该工具包括站点特征智能识别模块、特征标签集处理模块及专家经验库匹配模块三部分,能够实现变电站站点特征提取分类、典型间隔配置方案生成、ICD文件信息提取及实例化虚回路集成功能。工程案例验证结果表明,本方案的集成效率较高,应用适配性较强,是未来开展智能变电站SCD文件标准化集成工作的有效路径。

     

    Abstract: In response to the current issues of the SCD file integration process relying heavily on manual operations, low integration efficiency, and the integration level of SCD files being affected by the technical capabilities of the staff, an SCD file automatic integration tool based on AI agent recognition of site features has been designed. This tool consists of three parts: the intelligent recognition module of site features, the feature tag set processing module, and the expert experience library matching module. It can achieve the functions of extracting and classifying the features of substation sites, generating typical bay configuration schemes, extracting ICD file information, and integrating instance virtual circuits. The verification results of the engineering case show that this solution has a high integration efficiency and strong application adaptability, and it is an effective path for the future standardization of SCD file integration in intelligent substations.

     

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