Index system establishment method

Abstract

The invention provides a power regulation big data analysis mining-based index system establishment method. The method comprises the following steps of I, classifying indexes; II, establishing an index tree; III, establishing an initial index system; IV, constructing application integration under a Web portal of a big data platform; and V, perfecting the index system. According to the method, a calculation formula, a calculation rule and calculation data of the indexes are automatically generated and stored in semi-automatic and semi-manual modes according to the calculation formula, the calculation rule and the calculation data of the indexes, so that the workload is reduced and the precision is improved; and based on an existing index system, a big data visual analysis mining technology is adopted, so that advanced and macroscopic new indexes are formed for perfecting the index system.

Description

technical field [0001] The invention belongs to the technical field of electric power automation and specifically designs a method for establishing an index system. Background technique [0002] With the rapid development of the economy, social production and life rely more and more on electricity. The safety, reliability, economy, and high-quality supply of electricity are directly related to the national economy, the people's livelihood, economic development and other major events related to the fate of the country. In recent years, a series of blackouts It has brought serious losses to economic development, and at the same time greatly affected the normal production and life of the people. The security and stability of the power grid is of great importance. [0003] The power grid operation index is an important basis to reflect the current power grid operation, measure the power grid dispatching or monitor the business status. With the increasing load of business inform...

AI Technical Summary

Problems solved by technology

With the increasing load of business information in the power dispatching control center, the data scale has increased sharply, the business work of each professional department has become increasingly complex, and the information interaction between each specialty has been enhanced. The original multi-application indicators of different systems cannot quickly respond to business needs. Effective support for analysis and decision-making

At present, the big data platform integrates data from different systems (EMS, PMS, OMS systems), but the existing indicators are not comprehensive and perfect, the intelligence level is low, the interface is not friendly, and the application support is few, so it is difficult to fully and accurately grasp the power grid operation indicators

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