智能电网监控运行大数据分析系统统一建模方法研究

随着电网监控运行一体化运行趋势愈发明显，大数据技术应用的不断成熟、普及，为具有多源、高维、异构等特征的电网监控大数据的分析与应用提供了解决方案。本文提出了面向智能电网监控运行大数据分析系统的统一建模方法，分析了监控大数据的数据源、数据范围及现状与存在问题，指出了数据建模所需解决的问题与思路，采用元数据思想构建了公共模型，基于业务需要构建了应用模型，对于数据接入与存储管理方面，定义了元数据模型，其目的是在接入、汇总监控业务相关数据源的基础上，构建以设备为中心的监控数据关联模型，实现数据对象统一建模，为实现多源数据高效、规范接入提供了模型支撑，同时定义了符合该建模思路的元模型，元模型约束了建模行为，保证建立的模型遵行领域约束，为上层智能监控大数据分析应用奠定了基础。

Research on unified modeling method of big data analysis system for intelligent power grid monitoring and operation

As the integrated operation trend of power grid monitoring operation becomes more and more obvious and the application of big data technology is becoming increasingly mature and popular. It provides a solution for the analysis and application of power grid monitoring big data with characteristics of multiple sources, high dimension and heterogeneous. This paper presents a unified modeling method for the big data analysis system of intelligent power grid monitoring and operation. Then, it analyzes the data source, data range, current status and existing problems of monitoring big data, and points out the problems and ideas of data modeling. A public model using metadata idea and an application model based on business need are constructs. In terms of data access and storage management, a metadata model is defined. In order to provide model support for efficient and standardized access to multi-source data, this paper builds a device-centric monitoring data association model based on access and summary of data sources related to monitoring business and realize unified modeling of data objects. At the same time, the metamodel conforming to the modeling idea is defined. The metamodel constrains the modeling behavior and ensures that the established model complies with the domain constraints to lay the groundwork for the upper intelligent monitoring big data analysis application.