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Network traffic classification method and device based on AP clustering

A network traffic, AP clustering technology, applied in the field of network traffic classification based on AP clustering, can solve the problem of poor accuracy of manual participation decision-making classification results and so on

Inactive Publication Date: 2022-05-17
BEIJING UNIV OF POSTS & TELECOMM +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a network traffic classification method and device based on AP clustering to alleviate the technical problems of manual participation in decision-making and poor accuracy of classification results in the prior art

Method used

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  • Network traffic classification method and device based on AP clustering
  • Network traffic classification method and device based on AP clustering
  • Network traffic classification method and device based on AP clustering

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0032] According to an embodiment of the present invention, an embodiment of a method for classifying network traffic based on AP clustering is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be implemented in a computer system such as a set of computer-executable instructions and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0033] figure 2 A flowchart of a network traffic classification method based on AP clustering provided by an embodiment of the present invention, such as figure 2 As shown, the method includes the following steps:

[0034] Step S101, for each target cell, obtain the original load data within the set time range of the target cell, and generate a typical daily load curve of the target cell based on the original load data.

[0035] The target cell may refer to a residential ar...

Embodiment 2

[0083] An embodiment of the present invention provides an AP clustering-based network traffic classification device, the AP clustering-based network traffic classification device is mainly used to implement the AP clustering-based network traffic classification method provided in the foregoing content of Embodiment 1, The apparatus for classifying network traffic based on AP clustering provided by the embodiments of the present invention will be specifically introduced below.

[0084] Image 6 A schematic structural diagram of an apparatus for classifying network traffic based on AP clustering provided by an embodiment of the present invention. Such as Image 6 As shown, the network traffic classification device based on AP clustering mainly includes: an acquisition generation unit 11, an extraction unit 12 and a cluster analysis unit 13, wherein:

[0085] Obtaining and generating unit 11, for each target cell, obtaining the original load data within the set time range of th...

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PUM

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Abstract

The invention provides a network flow classification method and device based on AP clustering, and relates to the technical field of electric power, and the method comprises the steps: firstly, for each target cell, obtaining original load data of the target cell in a set time range, and generating a typical daily load curve of the target cell based on the original load data; secondly, for the typical daily load curve of each target cell, extracting a characteristic value of a preset daily load index based on the typical daily load curve; and finally, based on the characteristic value of the typical daily load curve of each target cell, carrying out clustering analysis on the typical daily load curve of each target cell by adopting a load clustering algorithm to obtain a typical daily load curve clustering result. The load clustering algorithm has the characteristics that the number of classification results does not need to be manually specified, and the centroid exists in an actual sample, so that an accurate and effective typical daily load curve clustering result can be obtained based on the load clustering algorithm with the characteristics.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method and device for classifying network traffic based on AP clustering. Background technique [0002] In various energy-saving schemes, load clustering and power consumption law research are the prerequisites for refined load forecasting. The load clustering methods often used in existing schemes (such as K-shape, improved K-means clustering algorithm, etc.) are inseparable from human operations, that is to say, the existing load clustering methods need to manually specify the number of categories And it has the characteristics of initial value sensitivity, and there are technical problems such as manual participation in decision-making and unsatisfactory classification effect. Contents of the invention [0003] The purpose of the present invention is to provide a network traffic classification method and device based on AP clustering, so as to alleviate the techni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q10/04G06Q50/06H02J3/00
CPCG06Q10/04G06Q50/06H02J3/003G06F18/23211G06F18/241Y02D30/70
Inventor 姚海鹏蔡云飞苏波买天乐忻向军韩宝磊张尼
Owner BEIJING UNIV OF POSTS & TELECOMM