Distribution network project equipment portrait index evaluation system and evaluation method

Abstract

The invention relates to a distribution network project equipment portrait index evaluation system and evaluation method, and belongs to the technical field of power grid power distribution. The structure of the invention comprises an original data layer, a fact label layer, a model label layer and an intelligent prior label layer. The original data layer is connected with the fact label layer; the model label layer is connected with the fact label layer, and the intelligent prior label layer is connected with the model label layer. The system and method have the beneficial effects that the mining direction and path of the equipment data value are explored, and full mining and application of the data value in the field of equipment management are realized. On the other hand, data fusion and data governance among professionals are promoted, and on the basis of a data mining technology and a tag portrait technology, tagging management and holographic portrait display of the equipment are realized, the health state of the equipment is accurately grasped, and the basic effect of the equipment portrait is exerted; development decisions such as power grid planning design, investment transformation, equipment operation, equipment maintenance and decommissioning work are supported in an auxiliary mode, and the utilization efficiency of power grid equipment is improved.

Description

technical field [0001] The invention relates to an evaluation system and evaluation method for equipment portrait indicators of a distribution network project, belonging to the technical field of power grid distribution. Background technique [0002] After more than 20 years of development, business informatization has gone through three stages: single-function informatization and online; business integration and information sharing system penetration stage; and now the big data stage represented by PIS 2.0 . Power equipment is the basic component of power grid operation, the end link of power grid construction, the final closed-loop node of company operations, and the generator and carrier of massive data. At present, due to the informatization of statistical services and the popularization of smart grid terminals, equipment data has gradually become large-scale and systematized, and has become a valuable data asset for power grid companies. Excavating the application valu...

AI Technical Summary

Problems solved by technology

[0004] The disadvantage of the existing technology is that the data accumulation related to distribution network equipment is getting larger and larger, the data storage is scattered and abstract, and the analysis methods are mostly based on statistical calculations, and there is a lack of deep-level and multi-dimensional data mining.

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