CN108011753A - A kind of power telecom network auto-bandwidth Forecasting Methodology based on MATLAB - Google Patents
A kind of power telecom network auto-bandwidth Forecasting Methodology based on MATLAB Download PDFInfo
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- CN108011753A CN108011753A CN201711189263.1A CN201711189263A CN108011753A CN 108011753 A CN108011753 A CN 108011753A CN 201711189263 A CN201711189263 A CN 201711189263A CN 108011753 A CN108011753 A CN 108011753A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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Abstract
The invention discloses a kind of power telecom network auto-bandwidth Forecasting Methodology based on MATLAB, according to the coalescence model of specific network, traffic aggregation algorithm is write using MATLAB, realize and the auto-bandwidth of all nodes of network and path is predicted, substantially increase efficiency and accuracy that staff carries out predicting bandwidth flow, conscientiously staff is instructed to find out the bottleneck portion of current network capacity, so as to guide the accurate dispensing of investment.
Description
Technical field
The present invention relates to technical field of electric power communication, and in particular, to a kind of power telecom network based on MATLAB is automatic
Bandwidth prediction method.
Background technology
The development trend of global energy Internet Strategy is complied with, the construction of strong intelligent grid is also moving forward steadily.Communication
The informationization of electric system under net comprehensive support, automation and it is interactive be intelligent grid important foundation.Power telecom network
To make rational planning for be the important leverage of follow-up development, and communication network service bandwidth requirement forecasting is power telecom network planning
The basis of design.Excessively advanced prediction can increase system Construction input, waste network bandwidth；And overly conservative estimation can
Network capacity is caused to become the bottleneck of whole communication of power system.Therefore, construct rational bandwidth prediction method and just can guarantee that electricity
Power communication network planning, design and the smooth development built.Since power telecom network is special service in power generation, the net of operation
The index request such as network, its reliability, bandwidth can be some higher compared to public telecommunication network, and bandwidth prediction method also different from
Public network.
Elastic coefficient method application is ripe, can the convenient primary demand for meeting communication.And the method for queueing theory can more embody industry
The advantage for dynamic characteristic of being engaged in.However, current method is mostly to provide bandwidth estimation from the convergence characteristic of node or section
Process, but bandwidth prediction is the overall process based on network structure.
The content of the invention
It is an object of the present invention in view of the above-mentioned problems, propose a kind of power telecom network auto-bandwidth based on MATLAB
Forecasting Methodology, to realize the volume forecasting of different business section, realizes the band on all nodes and path in Accurate Prediction network
Wide flow, improves efficiency and accuracy that planning personnel carries out bandwidth prediction, and the construction for optical transmission device and optical cable provides
Important evidence.
To achieve the above object, the technical solution adopted by the present invention is：A kind of power telecom network based on MATLAB is automatic
Bandwidth prediction method, mainly includes：
Following steps：
Input pre-treatment step：Using looped network integrally as a node, according to broadband prediction model, power telecom network is obtained
The typical services and flow of different type node itself in network topological diagram, will flow to according to the service convergence of power telecom network, will
Network topological diagram is converted to digraph form by undirected diagram form；
Data input step is realized based on MATLAB：The node and path of power telecom network are numbered, electric power is led to
Communication network is represented in the form of the sparse matrix of adjacency matrix, and arranges egress and the corresponding initial flow of path number；
Assembly algorithms step is realized based on MATLAB：Judge in power telecom network whether each node is network at this time successively
Endpoint node, if endpoint node, will be converged on the path of the flow superior of the node and node, while by this node
Deleted from the sparse matrix of network, update flow on node flow and path, if network is sparse after the completion of often wheel judges
Still there is element in matrix, then returned data inputs, if the sparse matrix of network is sky, enters and terminates program；
Terminate program step：The convergence of all node flows is completed, the flow of looped network node is remapped on looped network
On all nodes and path, the bandwidth traffic on all nodes of power telecom network topological diagram and path is obtained.
Further, in assembly algorithms step, decision node whether be network endpoint node, if specifically including does not have
The side of the node is directed toward, then this node is the endpoint node of network.
Further, input in pre-treatment step, according to broadband prediction model, obtain in powerline network topological diagram not
The typical services and flow of same type node itself, specially according to all kinds of substations, office space typical bandwidth prediction model.
Further, the sparse matrix representation of the adjacency matrix of power telecom network topological diagram is specifically, matrix is often gone
The 3rd numbering for being classified as each edge in power telecom network topological diagram, the row first is classified as the source node numbering on the side, the row
Second is classified as the destination node numbering on the side.
The power telecom network auto-bandwidth Forecasting Methodology based on MATLAB of various embodiments of the present invention, according to all kinds of power transformations
Stand, the notice of office space typical bandwidth prediction model and specific power telecom network coalescence model, using MATLAB programmings not
The volume forecasting of different business section is only realized, also can bandwidth stream of the Accurate Prediction into network on all nodes and path
Amount, improves efficiency and accuracy that planning personnel carries out bandwidth prediction, and weight is provided for the construction of optical transmission device and optical cable
Will foundation.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Attached drawing is used for providing a further understanding of the present invention, and a part for constitution instruction, the reality with the present invention
Apply example to be used to explain the present invention together, be not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is the theory structure schematic diagram of the power telecom network auto-bandwidth Forecasting Methodology based on MATLAB；
Fig. 2 is somewhere city power telecom network topological diagram；
Fig. 3 is somewhere city power telecom network bulk flow prediction case.
Embodiment
The preferred embodiment of the present invention is illustrated below in conjunction with attached drawing, it will be appreciated that described herein preferred real
Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, the power telecom network auto-bandwidth Forecasting Methodology based on MATLAB, step are as follows：
1. input pretreatment.According to all kinds of substations, office space typical bandwidth prediction model, power telecom network is analyzed
The typical services and flow of different type node itself in topological diagram.Since the service traffics on SDH looped networks are identical, risen to be easy
See, the own service flow of the node on looped network is added, depending on a looped network generally node.According to the business of power telecom network
Network topological diagram, is switched to the form of digraph by convergence flow direction by non-directed graph.Bandwidth prediction model refers to that the logical portion of net letter of state prints and distributes
's《All kinds of substations, office space typical bandwidth prediction model during " 13 "》, describe in bandwidth prediction model all kinds of
The typical services and flow of node.
Data input.The node and path of power telecom network are numbered, the characteristics of for power telecom network, by network
Showed in the form of the sparse matrix of adjacency matrix, and arrange egress and the corresponding initial flow of path number.
Assembly algorithms.It is the endpoint node of network at this time to judge each node in power telecom network successively, if do not had
There is the side for being directed toward the node, then this node is the endpoint node of network.If endpoint node, by the flow superior of the node
Path and node on converge, while this node is deleted from the sparse matrix of network, updates node flow and path is upper
Amount.If still there is element after the completion of often wheel judges in the sparse matrix of network, returned data input, if the sparse square of network
Battle array is sky, then enters and terminate program.
4. terminate program.The convergence of all node flows is completed, the flow of looped network node is remapped to institute on looped network
On some nodes and path, the bandwidth traffic on all nodes of power telecom network topological diagram and path is obtained at this time.
The present embodiment is by taking somewhere city power telecom network as an example, as shown in Figure 2.The different type node online to power communication
The business of itself carrying is analyzed, and is carried out at the same time Prediction of Bandwidth Requirement, is then estimated according to the flow estimation method of this paper
Bandwidth traffic on network on all nodes and path, finally contrasts the present situation of districts and cities' power telecom network, analyses whether to meet
Demand is, it is necessary to be further optimized lifting.
After obtaining the bandwidth traffic converged on all nodes, to the totality on all nodes in addition to power supply and user's change
Flow prediction situation is counted, and statistical result is as shown in Figure 3.The ratio between predicted flow rate and actual optical transmission device capacity are less than
20% website is 39, and these websites are mostly end website.The ratio between predicted flow rate and actual optical transmission device capacity are more than
80% and the website less than 100% be 4, these websites are all middle aggregation nodes, and are not the nodes on looped network, are existed
The necessity of certain optimization and upgrading.The website that predicted flow rate exceedes place capacity has 24, these websites are mostly the station on looped network
Point.This explanation is according to the typical bandwidth prediction model of company, and there are the necessity of optimization and upgrading for these websites.
Following beneficial effect can at least be reached：The flow that different business section is not only realized using MATLAB programmings is pre-
Survey, also can bandwidth traffic of the Accurate Prediction into network on all nodes and path, improve planning personnel carry out bandwidth prediction
Efficiency and accuracy, the construction for optical transmission device and optical cable provide important evidence.
Finally it should be noted that：The foregoing is only a preferred embodiment of the present invention, is not intended to limit the invention,
Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used
To modify to the technical solution described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic.
Within the spirit and principles of the invention, any modification, equivalent replacement, improvement and so on, should be included in the present invention's
Within protection domain.
Claims (4)
1. a kind of power telecom network auto-bandwidth Forecasting Methodology based on MATLAB, it is characterised in that specifically comprise the following steps：
Input pre-treatment step：Using looped network integrally as a node, according to broadband prediction model, obtain powerline network and open up
The typical services and flow of different type node itself in figure are flutterred, will be flowed to according to the service convergence of power telecom network, by network
Topological diagram is converted to digraph form by undirected diagram form；
Data input step is realized based on MATLAB：The node and path of power telecom network are numbered, by power telecom network
Network is represented in the form of the sparse matrix of adjacency matrix, while arranges egress and the corresponding initial flow of path number；
Assembly algorithms step is realized based on MATLAB：Judge successively each node in power telecom network whether be network at this time end
End node, if endpoint node, will converge on the path of the flow superior of the node and node, while by this node from net
Deleted in the sparse matrix of network, update flow on node flow and path, if often taking turns the sparse matrix of network after the completion of judgement
In still have element, then returned data input, if the sparse matrix of network for sky, enter terminate program；
Terminate program step：The convergence of all node flows is completed, the flow of looped network node is remapped on looped network and is owned
Node and path on, obtain the bandwidth traffic on all nodes of power telecom network topological diagram and path.
2. the power telecom network auto-bandwidth Forecasting Methodology according to claim 1 based on MATLAB, it is characterised in that converge
In poly- algorithm steps, whether decision node is the endpoint node of network, if specifically including the side for being not pointed towards the node, this
Node is the endpoint node of network.
3. the power telecom network auto-bandwidth Forecasting Methodology according to claim 1 based on MATLAB, it is characterised in that defeated
Enter in pre-treatment step, according to broadband prediction model, obtain the different type node allusion quotation of itself in powerline network topological diagram
Type business and flow, specially according to all kinds of substations, office space typical bandwidth prediction model.
4. the power telecom network auto-bandwidth Forecasting Methodology according to claim 1 based on MATLAB, it is characterised in that electricity
The sparse matrix form of the adjacency matrix of power communication network topological diagram specifically, matrix often row the 3rd is classified as power communication net topology
The numbering of each edge in figure, the row first are classified as the source node numbering on the side, and the destination node that the row second is classified as the side is compiled
Number.
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| CN102938742A (en) * | 2012-11-08 | 2013-02-20 | 广东电网公司电力调度控制中心 | Communication bandwidth forecasting method and device based on power business requirements |
| CN104242993A (en) * | 2014-09-29 | 2014-12-24 | 国家电网公司 | Medium-low voltage power communication access network bandwidth predication method |
| CN104333490A (en) * | 2014-11-20 | 2015-02-04 | 国家电网公司 | Power distribution communication business bandwidth prediction method based on communication protocols |
| CN105071992A (en) * | 2015-08-26 | 2015-11-18 | 国家电网公司 | Method for predicting power distribution/utilization service communication bandwidth of transformer substation |
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2017
- 2017-11-24 CN CN201711189263.1A patent/CN108011753A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102938742A (en) * | 2012-11-08 | 2013-02-20 | 广东电网公司电力调度控制中心 | Communication bandwidth forecasting method and device based on power business requirements |
| CN104242993A (en) * | 2014-09-29 | 2014-12-24 | 国家电网公司 | Medium-low voltage power communication access network bandwidth predication method |
| CN104333490A (en) * | 2014-11-20 | 2015-02-04 | 国家电网公司 | Power distribution communication business bandwidth prediction method based on communication protocols |
| CN105071992A (en) * | 2015-08-26 | 2015-11-18 | 国家电网公司 | Method for predicting power distribution/utilization service communication bandwidth of transformer substation |
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