Data fusion method

Abstract

The invention discloses a data fusion method, which can realize monitoring four kinds of data resources, i.e., a structured data resource, an unstructured data resource, a mass historical / quasi real-time data resource and a power grid space data resource. The data fusion method comprises the following steps of (1) current situation and demand investigation and survey; (2) data resource combing; (3) data resource management; (4) fusion technical scheme design; (5) fusion application scene design; (6) fusion application scene verification. According to the data fusion method disclosed by the invention, a panorama view formed by views of three layers of resources, i.e., service, application and data, of a company is formed through combing the four kinds of data resources, an integration scheme is provided for data in each business line of an enterprise through constructing a unified correlation model, consistent exchange of, data, graphs and files between systems is completely realized, not only can complex services of device transaction, marketing and distribution fusion and connection and the like be effectively supported, but also a series of data maintenance and management standards and specifications can be formed.

Description

technical field [0001] The present invention relates to the technical field of data management methods, in particular to a data fusion method. Background technique [0002] With the advancement of information construction, the State Grid Corporation has successively built a structured data center, an unstructured data management platform, a massive historical / quasi-real-time data management platform, and a power grid GIS data platform (hereinafter referred to as "four types of data centers") , and provide corresponding data services such as shared exchange, analysis and display for the business system. [0003] Since the construction of the SG186 project and SG-ERP, more than 100 sets of business systems have been built, forming a large number of complex data resources. However, in terms of enterprise-level data resource management, there is no unified data resource management mechanism, and the technical support methods are biased. Therefore, the company urgently needs to ...

AI Technical Summary

Problems solved by technology

[0003] Since the construction of the SG186 project and SG-ERP, more than 100 sets of business systems have been built, forming a large number of complex data resources. However, in terms of enterprise-level data resource management, there is no unified data resource management mechanism, and the technical support methods are biased. Therefore, the company urgently needs to study a set of enterprise-level data resource management mechanisms and data fusion solutions that are suitable for the business characteristics of power companies, realize effective management and comprehensive utilization of enterprise-level data resources, fully tap the potential value of data, and enable all levels of the company Personnel can have "numbers" in mind

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