摘要
供电服务数据应用于多个方面,在电网运行和设备检测或监测方面的应用包括:实时监控、对电网运行进行诊断优化和预测、为检修策略制定提供指导和服务等。设计了一种基于供电服务信息的数据挖掘方法,包含供电数据提取模块、供电数据处理模块和供电数据特征识别模块。首先,供电数据提取模块基于电网的供电服务信息提取出电网历史故障处理工单中的关键信息;其次,在供电数据处理模块建立BERTBIGRU-CRF模型对故障地址信息进行处理;再次,供电数据特征识别模块对高频信息进行聚类分析和可视化表征;最后,通过实际算例证明了提出的方法能够通过挖掘历史供电服务信息,寻找出供电服务中的薄弱环节,提高供电服务质量。
Power supply service data is used in many aspects,and its applications in power grid operation and equipment detection or monitoring include real-time monitoring,diagnosis optimization and prediction of power grid operation,and providing guidance and services for maintenance strategy formulation.This research proposes a data mining method based on power supply service information,which includes power supply data extraction module,power supply data processing module and power supply data feature recognition module.Firstly,the power supply data extraction module extracts the key information of the grid historical fault processing work order based on the power supply service information of the grid.Secondly,the BERT-BIGRU-CRF model is established in the power supply data processing module to process the fault address information.The power supply data feature recognition module performs cluster analysis and visual characterization of high-frequency information.Finally,it is proved that the proposed method can find out the weak link of power supply service by mining the historical power supply service information,and improve the quality of power supply service.
作者
彭昕
陆子秋
闫筱
PENG Xin;LU Ziqiu;YAN Xiao(State Grid Jiading Power Supply Company,SMEPC,Shanghai 201800,China)
出处
《电力与能源》
2023年第6期661-665,669,共6页
Power & Energy
关键词
数据提取
数据处理
数据特征识别
数据挖掘方法
data extraction
data processing
data feature recognition
data mining method
