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可视化客户安全用电智能分析辅助决策系统研究

Research on Visual Intelligent Analysis and Decision-making System for Customers' safe Power Consumption

  • 摘要: 基于广泛的数据来源,通过文本解析,实现对用电检查工单中描述用电状态、设备属性、用检结果等信息的结构化翻译与描述。采用先进分词技术与用电检查工单海量数据结构,逐步实证与词汇标注的方式,螺旋式提升文件解析模型的准确性与有效性。利用知识图谱技术对安全用电风险与隐患评估体系和客户关系分别进行图谱化还原,以网络图的方式客观呈现用电安全风险评估过程以及影响关系的全貌。

     

    Abstract: Based on a wide range of data sources, through text analysis, the structured translation and description of information such as power status, equipment attributes and inspection results described in the inspection work order can be realized. The advanced word segmentation technology is combined with the massive data of the electricity inspection work order. The method of step-by-step demonstration and vocabulary annotation is adopted. Helically improve the accuracy and effectiveness of the file analysis model. The knowledge map technology is used to restore the risk and hidden danger assessment system and customer relationship of safe power use. Objectively present the overall picture of the power safety risk assessment process and the impact relationship in the form of network diagram.

     

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