【摘要】 在电网规模和数据量急速增长的环境下,传统存储的关系型数据库、数据集成及整合分析方式已经无法满足业务应用的需求,本文分析梳理了电网监控应用需求,引入数据标签技术来解决目前的技术瓶颈。通过对数据物理表进行梳理,将业务专家的经验与数据物理表结构融合而成,数据标签能够提供统一业务化的标签给下游使用方,节省计算资源、便于全局优化的特点,基于数据标签开展电力业务数据辨识、数据治理、数据加工,相较于传统数据存储和治理模式,能够大幅提高电网监控业务智能化水平。更多还原

【Abstract】 With the rapid growth of power grid scale and data volume,the traditional storage relational database,data integration and integration analysis methods have been unable to meet the needs of business applications. This paper analyzes and combs the application requirements of power grid monitoring,and introduces data labeling technology to solve the current technical bottleneck. By combing the data physical tables and combining the experience of business experts with the structure of data physical tables,data labels can provide uniform business labels for downstream users,save computing resources and facilitate global optimization. Based on data labels,power business data identification,data management and data addition are carried out. Compared with the traditional data storage and management mode,it can greatly improve the intelligent level of power grid monitoring business.更多还原