Transverse and longitudinal interaction power grid multi-source data integration matching conversion synthesis method

Abstract

The invention discloses a transverse and longitudinal interaction power grid multi-source data integration matching conversion synthesis method. The method comprises the steps of performing data matching conversion by adopting an EMS three-data matching conversion synthesis technology; comparing names of the EMS data card and the BPA data card; and automatically superposing and splicing the DAT data files. According to the method, the problems of different standards, system data interaction, disordered data names and format forms, non-standard data Chinese names and the like due to the fact that data comes from all systems are solved, finally, high integration and matching conversion are conducted on transverse interaction data and longitudinal interaction data to synthesize final calculation demand data, and unified integration and efficient analysis of multi-source data are achieved. According to the method, the technical barrier of a heterogeneous system can be effectively broken through, and cross-department business cooperation is flexibly realized, so that smooth circulation of business applications and improvement of the working efficiency are promoted.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for integrating, matching, transforming, and synthesizing multi-source data of a horizontal and vertical interactive power grid. Background technique [0002] With the development and improvement of the power grid, the technical requirements are getting higher and higher, and there are more and more data sources. In actual operation, CIM / DT / SVG data, pre-plan data, repair order data, DAT data, The basic data of the item are distributed in external data source objects such as the EMS system of the central survey / ground survey and the OMS system of the central survey. Due to the different standards caused by different systems of data sources, system data interaction, names and formats may be displayed in different forms, and Chinese naming is not standardized, etc., it is necessary to match, convert and synthesize data, and highly integrate scheduling automation. To ensure ...

AI Technical Summary

Problems solved by technology

It solves the problems of different standards caused by different systems of data sources, system data interaction, data names and formats may be displayed in different forms, data Chinese naming is not standardized, etc. It also breaks the information sharing barriers caused by data heterogeneity and improves It improves the ease of use of the data, and highly integrates the horizontal and vertical interactive data and matches and converts the final computing demand data to realize the unified integration and efficient analysis of multi-source data.

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