Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-dimensional power communication network flow prediction method and system

A technology for power communication network and flow prediction, applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as unpredictable flow and lack of network expansion management.

Pending Publication Date: 2018-06-22
STATE GRID HUBEI ELECTRIC POWER COMPANY INFORMATION & TELECOMM +2
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention proposes a multi-dimensional power communication network traffic forecasting method and system in order to solve the problems of difficult to predict traffic and lack of technical basis for network expansion management in the current development of electric power communication network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-dimensional power communication network flow prediction method and system
  • Multi-dimensional power communication network flow prediction method and system
  • Multi-dimensional power communication network flow prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0063] The method of the present invention comprises the following steps:

[0064] Step 1. Network traffic collection:

[0065] Network traffic collection monitors and analyzes the characteristics and changes of computer network data flow. According to different network traffic sources, network traffic is divided into network node port traffic, end-to-end IP traffic, and user business data traffic. Embed the collection tool into the network transmission equipment of routers and switches, and collect real-time data of SDH (Synchronous Digital Hierarchy, Synchronous Digital System), OTN (Optical Transport Network, Optical Transport Network) and EPON (Ethernet Passive Optical Network, Ethernet Passive Optical Network) Egress data transfer traffic for the device. Use the router's built-in Netflow function to monitor networ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-dimensional power communication network flow prediction method and system; the method comprises the following steps: step 1, network flow is collected; step 2, a multi-dimensional flow prediction method is carried out; step 3, a dynamic weight updating strategy is introduced into a single exponential smoothing algorithm; the system comprises application layer equipment, an interface module, an SDN controller, an SDN coordinator, an SDN device, an OTN device and an EOPN device. The method and the system have the advantages that a cloud service technology is introduced in the adopted data measurement method; an SDN technology is introduced into a data acquisition part; the collected transverse dimension data are trained through a BP neural network algorithm; and an algorithm combined with an FARIMA algorithm and an ELman algorithm is adopted for the collected longitudinal dimension data. The precision of the prediction algorithm is improved; and the singleexponential smoothing algorithm is adopted to update the weight output by the multi-dimensional prediction algorithm, so that the fluctuation dimension of errors is reduced.

Description

technical field [0001] The invention relates to a multi-dimensional power communication network flow prediction method and system, belonging to the field of power communication network network flow prediction management. Background technique [0002] As the second network covering the whole area of ​​the power system, the communication network is the only channel to carry the important data of power grid stability, protection, control, and information. The stability, reliability, and security of its transmission directly affect the reliability of power grid transmission lines. run. If the power grid has a serious failure due to network performance problems, it will cause losses to national people's livelihood, property and security. [0003] With the in-depth advancement of the smart grid and the national grid, the scale of the power communication network continues to expand, the number of SDH (Synchronous Digital Hierarchy, Synchronous Digital System) equipment increases, ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04L12/26H04L12/24
CPCH04L41/147H04L43/04H04L43/0876
Inventor 冯伟东周正饶强曹波孙勇叶露陈迪毛竹黄常凯
Owner STATE GRID HUBEI ELECTRIC POWER COMPANY INFORMATION & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products