Power grid operation data sharing system based on large data technology

Abstract

The invention discloses a power grid operation data sharing system based on large data technology, which belongs to the technical field of operation data sharing. In this sequence, the data source layer comprises the data source layer, the data integration layer, the data warehouse layer, the data mart layer and the data application layer. The data source layer comprises data of each service system, and the data integration layer receives data of the received data source layer, and the data warehouse layer is used for realizing integration and sharing of the data. The data mart layer extracts the conversion load high quality data from the data warehouse layer, and the data application layer performs data mining and data analysis using large data technology according to the service demand and the analysis decision demand. The invention can realize the full integration and the depth fusion of all kinds of operation data, better dig the intrinsic value of the data, and promote the management improvement and the service innovation.

Description

technical field [0001] The invention relates to a power grid operation data sharing system based on big data technology, belonging to the technical field of operation data sharing. Background technique [0002] With the development of information technology and smart grid, power companies have a surge in demand for technologies such as information resource sharing and data value discovery. The extensive establishment of a large number of service application systems such as smart substations, smart meters, online monitoring systems, on-site mobile maintenance systems, and integrated measurement and control systems has enabled enterprises to generate and accumulate massive amounts of data resources with diverse structures, complex sources, huge scale, and system independence , making it more difficult for enterprises to integrate and share data, which directly affects the discovery of data intrinsic knowledge value and reduces the efficiency of power grid operation and monitor...

AI Technical Summary

Problems solved by technology

The extensive establishment of a large number of service application systems such as smart substations, smart meters, online monitoring systems, on-site mobile maintenance systems, and integrated measurement and control systems has enabled enterprises to generate and accumulate massive amounts of data resources with diverse structures, complex sources, huge scale, and system independence , making it more difficult for enterprises to integrate and share data, which directly affects the discovery of data intrinsic knowledge value and reduces the efficiency of power grid operation and monitoring; in addition, although current power grid enterprises have built business data centers and operation monitoring The data sharing framework of the SOA architecture is still slightly deficient in terms of data scalability, fault tolerance mechanism and data security, resulting in the centralized management and control, comprehensive management and high sharing of data resources not really realized at the data level

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