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Research on Data Intelligent Retrieval Method Oriented to Unified Business Center of Power System

机译:智能检索方法对电力系统统一商业中心的研究

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According to the current trends in the construction of mid-stations in power system business, and for the problem of insufficient retrieval of data applications, an intelligent retrieval method for grid data based on mid-stations is proposed to achieve the goal of rapid retrieval in huge power system cluster data. This method establishes a complete functional architecture, and it can meet the data retrieval requirements of various departments of the power grid. On the other hand, the method has universal applicability to business centers and plays an important role in the connection of various professional data in the power grid. and can well solve the data fusion problem between the stock system and the incremental system. It has a good reference significance and promotion value for the current power grid digitization. Starting from the design architecture, this paper puts forward a method to realize accurate data retrieval based on the current development status of large-scale power systems, and it also analyzes the rationality and feasibility from two dimensions of business needs and information system construction. At the same time, the article also makes a statistical analysis of the specific realization process of some business functions and the optimization effect based on this method.
机译:根据电力系统业务中站建设的当前趋势,并且对于数据应用的检索不足的问题,提出了一种基于中间站的网格数据的智能检索方法,以实现快速检索的目标巨大的电力系统集群数据。该方法建立了完整的功能架构,可以满足电网各个部门的数据检索要求。另一方面,该方法对商业中心具有通用适用性,并在电网中的各种专业数据的连接中发挥着重要作用。并且可以很好地解决股票系统与增量系统之间的数据融合问题。它对当前电网数字化具有很好的参考意义和促销价值。从设计架构开始,本文提出了一种方法来实现基于大型电力系统的当前开发状态​​的准确数据检索,并分析了业务需求的两个维度和信息系统建设的合理性和可行性。同时,本文还对某些业务功能的具体实现过程以及基于此方法的优化效果进行了统计分析。

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