基于元数据的电力客户流量数据实时监测设计

为了提高电力客户流量数据实时监测能力,提出基于元数据的电力客户流量数据实时监测系统设计方法。构建电力客户流量数据的分布式采集和存储结构模型,采用多分布的传感器阵列进行电力客户流量数据采样,对采集的电力客户流量数据进行特征重组,提取电力客户流量数据的元数据结构特征,根据元数据的结构分布进行电力客户流量数据的模糊信息聚类处理,建立电力客户流量数据的多分布特征检测和属性聚类模型,采用模糊融合方法进行电力客户流量数据的多元信息重构,在重构的特征空间中实现电力客户流量数据实时监测。仿真结果表明,采用该方法进行电力客户流量数据监测的实时性较好,识别精度高,特征分辨能力较强,具有很好的电力客户流量信息检测和识别能力。

Design of real-time monitoring of power customer flow data based on metadata

In order to improve the real-time monitoring capability of the power customer traffic data,the design method of the real-time monitoring system of the power customer traffic data based on the metadata is proposed.A distributed collection and storage structure model of power client flow data is constructed.A multi-distributed sensor array is used to sample power client flow data.Features of power client flow data are restructured.The metadata structure characteristics of the power client flow data are extracted.According to the structure distribution of the metadata,the fuzzy information clustering processing of the power client flow data is carried out,the multi-distribution characteristic detection and the attribute clustering model of the power client flow data are established,the multi-element information reconstruction of the flow data of the force client realizes real-time monitoring of the flow data of the power client in the reconstructed characteristic space.The simulation results show that the method is good in real-time performance,high in recognition precision,strong in feature resolution and good in power customer traffic information detection and identification.