A data cleaning conversion method based on CIM

A conversion method and data cleaning technology, which is applied in the field of big data in power grids, can solve problems such as low query efficiency of operating data, large data redundancy, and difficulty in fusion operations, so as to ensure data quality and reliability, reliable support, and wide application sexual effect
CN109213752AInactive Publication Date: 2019-01-15STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
8 Cites 8 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
STATE GRID FUJIAN ELECTRIC POWER CO LTD
Publication Date
2019-01-15
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a data cleaning conversion method based on CIM. Cleaning and converting the captured power system operation data to obtain CIM-based uniform specification data, and storing thedata in the distributed file system; data are extracted from distributed file system and distributed data warehouse based on CIM is constructed. The invention provides a data cleaning conversion method based on CIM, supported by the improved grid operation data model and distributed data platform, extracting, cleaning, integrating the source data, ensuring the quality and reliability of the data,realizing the unified standard data output based on the database, has the wide applicability of supporting cluster deployment and concurrent computing, and can provide reliable support for the automated integration and analysis of power grid data.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the field of power grid big data, and in particular relates to a CIM-based data cleaning and conversion method. Background technique

[0002] With the wide application of various power transmission and transformation equipment, the amount of power grid operation data has shown geometric growth. For the rapid analysis and processing of massive operating data and the detection and mining of abnormal data, the challenge is how to perform effective data processing and efficient data analysis on the big data of power grid operation. Due to the large differences in the software and hardware systems and resources of companies in various network provinces, it is more difficult to build a data online analysis platform. The traditional power grid operation data platform has been unable to meet the needs of enterprise operation data storage optimization and parallel processing. The traditional data storage structure is intuitive, but it...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More