Data prediction method and device

A technology for data prediction and data flow, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as unprovided solutions and calculate the impact of data prediction accuracy, and achieve the goal of improving prediction accuracy and data calculation accuracy. Effect

Inactive Publication Date: 2017-08-18
STATE GRID BEIJING ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] For the above-mentioned problem of the impact on the prediction accuracy of the calculatio

Method used

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Embodiment 1

[0036] According to an embodiment of the present invention, an embodiment of a data prediction method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although The logical sequence is shown in the flowchart, but in some cases, the steps shown or described may be performed in a different order than here.

[0037] figure 1 It is a schematic flow chart of a data prediction method according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0038] Step S102, collecting data flow information;

[0039] Step S104: Analyze and cluster the data flow information through a preset protocol to obtain a stationarity sequence;

[0040] Step S106: Determine the order of the stationarity sequence by selecting the corresponding quantized value to obtain a traffic prediction model;

[0041] Step S108: P...

Embodiment 2

[0127] According to another aspect of the embodiments of the present invention, a data prediction device is also provided, Figure 8 Is a schematic diagram of the structure of a data prediction device according to an embodiment of the present invention, such as Figure 8 Shown, including:

[0128] The collection module 82 is used to collect data flow information;

[0129] The analysis module 84 is configured to analyze and cluster the data flow information through a preset protocol to obtain a stationarity sequence;

[0130] The calculation module 86 is used to determine the order of the stationarity sequence by selecting the corresponding quantized value to obtain a flow prediction model;

[0131] The prediction module 88 is used to predict the data flow according to the flow prediction model.

[0132] In the data prediction device provided in the embodiment of the application, the stationarity sequence is obtained by collecting data flow information; analyzing and clustering the data ...

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Abstract

The invention discloses a data prediction method and device. The method comprises the steps of collecting data traffic information; analyzing and clustering the data traffic information through a preset protocol, thereby obtaining stability sequences; determining orders of the stability sequences by selecting corresponding quantization values, thereby obtaining a traffic prediction model; and predicting data traffic according to the traffic prediction model. According to the method and the device, the technical problem that the prediction precision of computing data is influenced due to the defect in the prior art is solved.

Description

Technical field [0001] The invention relates to the application field of power grid services, and in particular to a method and device for data prediction. Background technique [0002] With the strengthening of the construction of smart grids, the power data network and its bearer service system have been developed rapidly, and the requirements of the power data network in terms of operation guarantee and service quality monitoring are also getting higher and higher, and the realization of the link channel in the future The forecast of all business volumes is of great significance for ensuring the quality of the power data network, improving network utilization, and preventing network congestion. [0003] Among the traffic forecasting models, there are three major model systems: Fourier series model, structural component model (such as Holt-winter's model) and time series model (such as ARIMA model). [0004] However, no matter which model system is mentioned above, the current res...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/26
CPCH04L41/147H04L41/145H04L43/0876
Inventor 王宇付军美张丽郝颖王未
Owner STATE GRID BEIJING ELECTRIC POWER
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