Power grid data processing and data visualization method based on cluster

Abstract

The invention discloses a power grid data processing and data visualization method based on a cluster. The method comprises the specific steps as follows: 1S, collecting original data; 2S, cleaning anabnormal point and a null value existent in the original data; for the abnormal point, adjusting an abnormal value as a maximum or minimum boundary value by using a filtering or collecting method; for the null value, adopting a method for filling the null value by using the average value. The method disclosed by the invention has the following advantages: at first, the expression of the key feature is enhanced and the expression of the unrelated details is inhibited by using a clustering method; secondly, the data is abstracted and reconstructed by using a data analysis system, the implicit features of a complex multi-dimension time series data set are described to generate a compact overview image, the index and the searching are facilitated, and then a user is allowed to add other details in the interaction analysis process; thirdly, the conflict between the limited visual space and the data overload is relieved by using the interaction technology, and the user can well participatethe understanding and analysis on the data.

Description

technical field [0001] The invention relates to the technical field of power transmission and transformation between clouds in electric power systems, in particular to a cluster-based power grid data processing and data visualization method. Background technique [0002] Under the unified planning and guidance of China Southern Power Grid Co., Ltd., China Southern Power Grid EHV Transmission Company has successively built multiple sets of information systems such as "6+1" system, EMS, OMS, equipment status monitoring system, lightning positioning system, and meteorological information system. Each system strongly supports the company's safety production and operation management from different business perspectives. [0003] With the continuous development of informatization, data collection and storage technologies are becoming more and more mature. However, among the large amount of time-varying data generated by various business systems, many data often have other attribut...

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Problems solved by technology

[0003] With the continuous development of informatization, data collection and storage technologies are becoming more and more mature. However, among the large amount of time-varying data generated by various business systems, many data often have other attribute dimensions, such as online monitoring data of power grid equipment. , including attributes such as online monitoring time and various monitoring items. Some of this kind of data change over time, some will show regularity or periodicity, and some will be irregular.

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