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

Method for optimizing multi-grade light-splitting passive optical network of distribution communication network

A passive optical network and optimization method technology, applied in the field of multi-level splitting passive optical network optimization of power distribution communication network, can solve problems such as reducing computational complexity, and achieve the effect of minimizing communication construction costs

Active Publication Date: 2015-05-13
STATE GRID CORP OF CHINA +2
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a multi-level splitting passive optical network optimization method for power distribution communication networks, which uses a cascaded genetic algorithm to allow the network at this level to inherit the genetic optimization results of the network at the previous level for use at this level The determination of the network fitness function breaks through the shortcomings of the traditional genetic algorithm that cannot be inherited in a loop to achieve multi-layer optimization, and enables the optimized multi-level optical splitting network to select the best optical splitter and a better network star topology in the network, saving network Communication construction cost; this algorithm establishes network planning as a mathematical model, which has good scalability and reduces computational complexity

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
  • Method for optimizing multi-grade light-splitting passive optical network of distribution communication network
  • Method for optimizing multi-grade light-splitting passive optical network of distribution communication network
  • Method for optimizing multi-grade light-splitting passive optical network of distribution communication network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0042] like figure 1 As shown, a multi-level splitting passive optical network optimization method for a power distribution communication network, the method includes, using a cascaded genetic algorithm, so that the network at this level inherits the genetic optimization results of the network at the previous level, and the method includes the following step:

[0043] (1) design gene coding; in the step (1), the multi-stage light-splitting passive optical network includes a central OLT, a plurality of optical splitters and optical network units; the first-level light-splitting network is connected to the central OLT, The second to n-level optical splitting networks are coded one by one in a decimal system, where n is a natural number greater than or equal to 2.

[0044] (2) set up the constraint condition of described...

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 relates to a method for optimizing a multi-grade light-splitting passive optical network of a distribution communication network. The method is that the network at the current grade bears the gene optimization result of the network at the previous grade through the cascading genetic algorithm. The method specifically comprises the steps of designing a gene code; creating constraint conditions for the gene code, and selecting adaptability functions; performing crossover and variation operation for the gene code on the premise that the constraint conditions for the gene code are met; performing multi-generation iterative crossover and variation operation to obtain the optimal gene code of the PON network at the current level; returning to step (1) to bear the gene code of previous level when the number of the network layers of the multi-grade light-slitting passive optical network is less than n, and updating the adaptability function; finishing the optimization when the number of the network layers of the multi-grade light-slitting passive optical network is more than 1. According to the method, the optimal light splitter and relatively high network star topology in the network are selected from the optimized multi-grade light-splitting network, and therefore, the network communication construction cost is saved; the network planning is constructed into a mathematical model, thus the expandability is improved, and the calculation complexity is reduced.

Description

technical field [0001] The invention relates to an optimization method, in particular to a multi-level splitting passive optical network optimization method for a power distribution communication network. Background technique [0002] With the vigorous promotion and construction of intelligent power distribution, EPON (Ethernet Passive Optical Network, EPON) technology has become the main trend of power distribution communication network, and its front coverage radius has reached 20km ~ 60km, which is very suitable for large-scale power distribution network architecture , so it is widely used in distribution network. As one of the main communication technologies in the distribution network, the passive optical network (Passive Optical Network) has technical characteristics that are more suitable for the needs of primary lines and future distribution network services, and is the best communication system for carrying power distribution services. technology. [0003] In the ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04Q11/00
Inventor 赵国庆刘国军汪洋周静卢利锋黄毕尧王楠胡紫巍张庚李建岐丁慧霞王智慧
Owner STATE GRID CORP OF CHINA
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