Electric transmission and transformation device multi-source state assessment data processing method and application thereof

Abstract

On the basis of analyzing the features of the electric transmission and transformation device multi-source state assessment data, an electric transmission and transformation device multi-source state assessment data processing method is provided. The method comprises: multi-source data obtaining, data cross-platform access, data preprocessing and preliminary cleaning, data quality assessment model, data standardization conversion and data output, and is applied on the big data platform. The electric transmission and transformation device multi-source state assessment data processing method and the application thereof are configured to provide service such as storage, retrieval and excavation for the main net electric transmission and transformation device multi-source data and provide data support for the high-grade service such as risk assessment and the like. The electric transmission and transformation device multi-source state assessment data processing method and the application thereof belong to the electric power informatization technology field.

Description

technical field [0001] The invention belongs to the technical field of electric power informationization, and in particular relates to the design of a multi-source state evaluation data processing method for power transmission and transformation equipment. Background technique [0002] With the continuous development of digitization, informatization, and intelligence of the power system, the data of the power system presents an explosive growth model, mainly including the current status data of the equipment, the operating condition data of the system, the environmental information of the equipment, and the historical information data. part. On the one hand, this information presents the characteristics of multi-source heterogeneity; on the other hand, with the increase of monitoring points and the shortening of sampling period, the volume of these data shows a rapid growth; at the same time, the information of power transmission and transformation equipment status evaluatio...

AI Technical Summary

Problems solved by technology

[0004] At present, the multi-source state assessment work of power transmission and transformation equipment is facing the following problems and difficulties: First, there are large differences in the original business information systems, and the integration and sharing of multi-source state assessment data for power transmission and transformation equipment is seriously insufficient. The database cannot meet the management needs of massive, multi-source, and heterogeneous data; secondly, the utilization rate of multi-source data for power transmission and transformation equipment is low, the application of information resources is too simple, and the real value has not been fully tapped and utilized, resulting in such data-based Advanced service functions such as mining equipment defect analysis and fault prediction cannot be realized

Existing data processing technology cannot enable the electric power industry to quickly acquire knowledge and information from massive data and analyze them. Under the general trend of intelligent and informatized development of the electric power industry, the application of electric power big data technology is an inevitable requirement

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