Data processing method and system based on electric power big data platform

A big data platform and power data technology, applied in the field of big data, can solve the problems of gradient disappearance, low data processing efficiency, inappropriate power data, etc.

Inactive Publication Date: 2021-05-18
吴娟
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Problems solved by technology

[0003] Most clustering algorithms for traditional power data choose the K-means algorithm. The K value in the K-means algorithm is randomly selected, which will have a great impact on the classification results; Different classification results are obtained, and finally the most suitable K value is determined by comparison. However, such a method is not suitable for power data. The amount of power load generated every day is huge. The K value is selected by compariso

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  • Data processing method and system based on electric power big data platform
  • Data processing method and system based on electric power big data platform
  • Data processing method and system based on electric power big data platform

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Embodiment Construction

[0097] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0098]The power data index weight is assigned by using the power data index weighting method, and the abnormal power consumption detection method based on machine learning is used to detect abnormal users in the power system; at the same time, the improved K-means algorithm is used to cluster the power data index , using the improved LSTM network model to process the clustering results and realize the fault diagnosis of the power system. refer to figure 1 As shown, it is a schematic diagram of a data processing method based on an electric power big data platform provided by an embodiment of the present invention.

[0099] In this embodiment, the data processing method based on the electric power big data platform includes:

[0100] S1. Acquire power data, and perform missing value processing and noise data processin...

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Abstract

The invention relates to the technical field of big data, and discloses a data processing method based on an electric power big data platform, which comprises the following steps: acquiring electric power data, and carrying out missing value processing and noise data processing on the electric power data; according to the processed electric power data, calculating to obtain an electric power data index, and assigning an electric power data index weight by using an electric power data index weighting method; detecting the weighted power data indexes by using an abnormal power utilization detection method based on machine learning; clustering the power data index data by using an improved K-means algorithm, and taking a clustered power data index vector as a power data feature vector; and taking the electric power data feature vector as model input, and performing fault diagnosis of the electric power system on the electric power data feature vector by using an improved LSTM network model. The invention further provides a data processing system based on the electric power big data platform. According to the invention, power data processing is realized.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a data processing method and system based on an electric power big data platform. Background technique [0002] With the advent of the intelligent age, the amount of data in various industries is increasing rapidly. At the same time, the scale of power grid construction is gradually expanding and the speed of construction is accelerating, making the amount of power data more and more large. How to quickly process large-scale power Data is a hot topic of current research. [0003] Most clustering algorithms for traditional power data choose the K-means algorithm. The K value in the K-means algorithm is randomly selected, which will have a great impact on the classification results; Different classification results are obtained, and finally the most suitable K value is determined by comparison. However, such a method is not suitable for power data. The amount of power load genera...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N20/00
CPCG06N3/049G06N20/00G06N3/044G06F18/23213G06F18/2411G06F18/214
Inventor 吴娟
Owner 吴娟
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