Traffic modeling method based on digital signal multi-dimensional quantitative characteristics

Abstract

The invention provides a traffic modeling method based on digital signal multi-dimensional quantitative characteristics. The traffic modeling method comprises the following steps: acquiring the actualtraffic of a target environment of a new energy plant station on line; performing multi-dimensional feature index extraction on the acquired actual traffic, and performing real-time quantification onthe traffic situation of the network space corresponding to the extracted multi-dimensional feature index to obtain a corresponding feature index quantized value; using an ensemble empirical mode decomposition method to carry out frequency domain decomposition on the feature index quantized value corresponding to each feature index to obtain signal components with different frequencies, and calculating signal intensity, period, variance and energy feature values of the different components; and taking the signal intensity, the period, the variance and the energy feature digital value corresponding to each feature index as a traffic feature depiction index system, namely the traffic model of the new energy plant station.

Description

technical field [0001] The invention relates to the technical field of Internet traffic modeling, in particular to a traffic modeling method based on multi-dimensional quantitative features of digital signals. Background technique [0002] New energy refers to various energy situations other than traditional energy, mainly including wind energy, solar energy, biomass energy, etc., which is the general trend of future power grid development. New energy stations mainly have risks such as illegal terminal access, remote operation and maintenance, network outreach of station monitoring centers, illegal network channels of new energy stations, system body security, and personnel safety management. The security protection of new energy stations may pose a threat to the security of the entire power grid. On the one hand, attacks from the new energy station-side network may penetrate upwards, seriously threatening the security and stability of the entire power grid-side dispatching ...

AI Technical Summary

Problems solved by technology

[0006] If the traffic model selection is inconsistent with the characteristics of the actual system traffic, the real characteristics of the network traffic cannot be accurately described. Adjust to achieve a better depiction effect, the depiction process is not self-adaptive, and the depiction is difficult;

[0007] Traditional traffic modeling only considers the modeling of a small number of dimensions or even single-dimensional features, such as traffic size, and single-dimensional features obviously cannot adapt to the complex network traffic environment composed of multiple protocols, multiple applications, and multiple types of terminals

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