Statistic data model building method facing programs, plans, and decisions

Abstract

The invention discloses a statistic data model building method facing programs, plans, and decisions. The statistic data model building method comprises steps that power grid business data is acquired, and data processing is carried out to acquire standard business data; the counting and the calculation of the standard business data are carried out according to different indexes and classification information to acquire the total information of the business data of the different categories; the counted total information of the business data of the different categories are stored according to the own categories; according to the business data of the different categories in different partitions and the preset model building method, a statistic data model satisfying expected demands is acquired, and therefore a function relation between the different business data is acquired. The statistic data model building method facing the programs, the plans, and the decisions is advantageous in that the efficiency and the accuracy of the statistic data model building are improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for constructing a statistical data model oriented to planning and decision-making. Background technique [0002] In the current management process of the power system, most of the various types of power business data collected need to be statistically and released. In this way, when the headquarters needs to count the business data of all power grids, there will not only be various problems such as different data formats, real-time validity, etc., especially when publishing power grid business data, due to the complexity of data sources and standards, As a result, there are large deviations and deficiencies in the statistics and release of power grid business data. [0003] Take the power grid business statistics release of the State Grid (referred to as State Grid) as an example: At present, there are mainly the following problems in the statistical release of...

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Problems solved by technology

[0002] In the current power system management process, most of the collected various types of power business data need to be statistically and released. In this way, when the headquarters needs to count the business data of all power grids, there will not only be various problems such as different data formats, real-time validity, etc., especially when publishing power grid business data, due to the complexity of data sources and standards, Leading to large deviations and deficiencies in the statistics and release of power grid business data

[0003] Take the power grid business statistics release of the State Grid (referred to as State Grid) as an example: At present, there are mainly the following problems in the statistical release of the State Grid: First, the power grid statistical data search capability needs to be further strengthened

[0004] Therefore, the current construction of statistical data models for planning and planning decisions has the problems of low efficiency and low model accuracy.

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