CN110177029A - A kind of power telecom network service operation method for evaluating quality - Google Patents

A kind of power telecom network service operation method for evaluating quality Download PDF

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CN110177029A
CN110177029A CN201910465492.4A CN201910465492A CN110177029A CN 110177029 A CN110177029 A CN 110177029A CN 201910465492 A CN201910465492 A CN 201910465492A CN 110177029 A CN110177029 A CN 110177029A
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failure
service
network
index
link
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CN110177029B (en
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程紫运
徐昊亮
田云飞
张海生
陈兆雁
靳攀润
余泳
徐慧慧
王仕俊
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State Grid Corp of China SGCC
State Grid Gansu Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Gansu Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Gansu Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Gansu Electric Power Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters

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  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses a kind of power telecom network service operation method for evaluating quality, method specifically includes that building communication network model;According to Markovian state's transfer theory, the probability that different failure scenes occur is calculated;Failure scene number in need of consideration is determined according to the confidence interval of setting;Average traffic failure index and average traffic Intrusion Index under different failure scenes are calculated according to the failure scene considered, and the failure probability of different scenes is combined to obtain the whole network integrated service failure index and integrated service Intrusion Index;The superiority and inferiority of the size judgement network service running quality of lower the whole network integrated service failure index and the whole network integrated service Intrusion Index is distributed by comparing heterogeneous networks or with the different business of network.The method of the present invention can objectively respond power telecom network business risk situation, and it is low to be related to algorithm computation complexity.

Description

A kind of power telecom network service operation method for evaluating quality
Technical field
The present invention relates to power telecom network technical fields, and in particular to a kind of power telecom network service operation quality evaluation Method.
Background technique
Power telecom network is that physical network is opened in electric system second, is one of national private wire network, is electric system Important infrastructure.Power telecom network carries numerous business such as power generation, management and IT application in enterprises, is that power grid is realized The basis of dispatching automation and management modernization is to ensure that the important technical of power grid security, economic load dispatching, in entire electricity Very important effect is played in Force system.Under the overall background of smart grid and energy internet, the rule of power telecom network Mould is increasing, and the business undertaken is more and more, the quality of service of communication network to the influence degree of entire electric system also with Increase, effective evaluation is carried out to the service operation quality of power telecom network, and the network optimization is carried out with this, is power communication Net O&M supports field important topic.
Conventional electric power communication service quality evaluation method uses for reference public network service qualitative attribute mostly, using general business Performance parameter is as the evaluation index for measuring single quality of service.This service quality assessment technology is there are certain one-sidedness, and one Aspect, assessment technique cannot reflect the global feature of communication network completely, and on the other hand, assessment technique does not embody power communication The business particularity of net.Therefore, the particularity of the service bearer based on power telecom network, building reflection network entirety business fortune The quantitative assessing index of row quality evaluates the service operation quality of network, in network O&M business and network it is excellent Changing has important directive significance.
Summary of the invention
In view of the deficiencies of the prior art, the present invention is intended to provide a kind of power telecom network service operation method for evaluating quality, This method is based on service failure and influences to analyze power telecom network service operation quality, is turned using Markov state Shifting formwork type calculates different failure scene probability of happening, and on the basis of service failure index and service impact index, All possible probability that a situation arises under comprehensive a variety of failure scenes and different scenes, obtain the whole network integrated service failure index With the whole network integrated service Intrusion Index, and in this, as network service running quality evaluation index, which can be on the whole The service operation quality of network is assessed.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of power telecom network service operation method for evaluating quality, includes the following steps:
S1, network model is constructed according to the practical framework and service distribution of power telecom network;The network model includes net Network node, link and network bearer;
The case where S2 is according to link failure constructs different failure scenes, and according to Markov state transition probability, meter Calculate the probability of happening of different failure scenes;
The given confidence level of S3, basis, determines failure scene number in need of consideration, i.e., in need of consideration to fail simultaneously The maximum value m of number of linksmax:
P(Qm) it is QmProbability of happening, QmIndicate the failure scene of m link while failure, α is confidence level;
S4, according in step S3 determine failure scene number in need of consideration, comprehensively consider channel service type factor and Service channel velocity factor calculates average traffic failure index and average service impact index under each failure scene;
Average traffic failure index FI (Q under certain failure scenem) and average service impact index II (Qm) pass through following formula meter It calculates:
Wherein, sF、sIRespectively failure service and influence business, SF(Qmi)、SI(Qmi) it is respectively failure scene QmIn i-th Failure service collection and influence services sets, K under kind link failure combination indicate the scene Q that failsmIn include link failure combination Number;S is powerline network entirety services sets, and is hadFor business Type weight, different types of service are accordingly assigned different weights,For service channel rate weight, Different service channel rates are endowed different weights;
S5, fail index and average traffic Intrusion Index according to the average traffic under different failure scenes, comprehensive failure field The probability of happening of scape can be calculated the whole network integrated service failure index FI and integrated service Intrusion Index II by following formula:
S6, the index FI and integrated service Intrusion Index II that failed according to the whole network integrated service assess power communication network service Running quality, the whole network integrated service failure index FI and integrated service Intrusion Index II is lower, power telecom network service operation matter It measures higher.
Further, in step S1, the network model is expressed as follows with figure G:
G=(V, E, S);
Wherein V={ v1,v2,...,vNIndicate power telecom network in node set, network node indicate power communication Electric power communication device in net, N are number of nodes;E={ e1,e2,...,eMIndicating the set on side, the side indicates that electric power is logical Believe that the link between equipment, M are the quantity of link;S={ s1,s2,...,sLIndicate the network carrying collection of services, it is therein Each business s1,s2,...,sLComprising type of service, service channel speed grade and routing iinformation, L indicates number of services.
Further, it in step S2, according to Markov state metastasis model, is calculated as follows different when link failure The probability of happening for the scene that fails:
Wherein QmIt include K=M!/m!(M-m)!Kind combination;
P indicates single link failure probability under stable environment, its calculation formula is:
P=λ/(λ+μ);
λ indicates link failure crash rate, and μ indicates link failure repair rate.
The beneficial effects of the present invention are: the present invention is based on Markov state transition probabilities to send out different failure scenes Raw probability is calculated, and is sampled all failure scenes according to confidence interval, can while guaranteeing computational accuracy, The complexity for greatly simplifying calculating is conducive to the practicability of method.
In addition, the present invention according to consider failure scene calculate it is different failure scenes under average traffics fail indexes and Average traffic Intrusion Index, and the failure probability of different scenes is combined to obtain the whole network integrated service failure index and integrated service Intrusion Index is distributed lower the whole network integrated service failure index and the whole network by comparing heterogeneous networks or with the different business of network The size of integrated service Intrusion Index can be determined that the superiority and inferiority of network service running quality.It is logical that the present invention can objectively respond electric power The whole business risk situation of letter net, and it is low to be related to algorithm computation complexity.
Detailed description of the invention
Fig. 1 is the flow diagram of the embodiment of the present invention;
Fig. 2 is the network topology structure schematic diagram of the embodiment of the present invention.
Specific embodiment
Below with reference to attached drawing, the invention will be further described, it should be noted that the present embodiment is with this technology side Premised on case, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to this reality Apply example.
As shown in Figure 1, a kind of power telecom network service operation method for evaluating quality, includes the following steps:
S1, the network topological diagram for establishing power telecom network:
According to the practical framework and service distribution of power telecom network, corresponding network model, the network model are constructed Including network node, link and network bearer, it is expressed as follows with figure G:
G=(V, E, S);
Wherein V={ v1,v2,...,vNIndicate powerline network in node set, node indicate power telecom network Electric power communication device in network, N are number of nodes;E={ e1,e2,...,eMIndicating the set on side, the side indicates that electric power is logical Believe that the link between equipment, M are the quantity of link;S={ s1,s2,...,sLIndicate the services sets that powerline network carries It closes, each business s therein1,s2,...,sLComprising type of service, channel rate grade and routing iinformation, L indicates business number Amount.
By taking powerline network as shown in Figure 2 as an example, simulating, verifying is carried out.The powerline network includes 12 nodes With 14 links.It altogether include business 25 in the powerline network, wherein single path business 8, complete dual path 1+1 are protected Shield business 12, part dual path 1+1 protection business 5.Routing iinformation is as shown in table 1 to table 3.Wherein the starting point of business is compiled Number indicate business source node number, terminal number expression business destination node number, business route in number represent industry The passed through link number of business, this number are consistent with the link number in Fig. 2 (wherein double for complete double route and part Routing service, it is primary route, the second behavior alternate routing that link, which routes the first row)." channel rate " in table 1-3 is of equal value In service bandwidth or volume of business.Type of service refers to the various businesses in powerline network.
1 single path unprotect business configuration of table
The complete dual path of table 2 protects business configuration
3 part dual path of table protects business configuration
S2, failure probability is calculated:
According to Markov state metastasis model, the probability of happening of difference failure scene when link failure is calculated as follows:
Wherein, M indicates the quantity of link in network, QmIndicate what m (m=0,1,2 ..., M) link failed simultaneously Fail scene, P (Qm) it is QmProbability, wherein QmIt include K=M!/m!(M-m)!Kind combination;
P indicates single link failure probability under stable environment, its calculation formula is:
P=λ/(λ+μ);
λ indicates link failure crash rate, and μ indicates link failure repair rate.
By taking Fig. 2 as an example, if λ=5 × 10-4, μ=0.1, then single-link failure probability is p ≈ 0.001 in a stable environment.
It is discussed according to Markovian state's transition probability, Q in Fig. 2mProbability of happening it is as shown in table 4.
Table 4
S3, different failure scenes is sampled, under the premise of given confidence level α, determines need to examine as the following formula The failure scene number of worry, i.e., in need of consideration while stale link number maximum value mmax:
If setting confidence level α=0.0001, that is, requires the probability for counting failure scene and be not less than 99.99%, i.e., Think that counted failure scene can cover most situations of network failure.
It can be obtained by table 4, no link failure, single link failure and both links while these three failure scenes that fail Probability and be 99.996%, meet not less than 99.99% sampling requirement, therefore only take first three failure scene can meet The computational accuracy under confidence level is set, while greatly simplifying the complexity of calculating.
S4, according in step S3 determine failure scene number in need of consideration, comprehensively consider channel service type factor and Channel rate factor calculates average traffic failure index and average service impact index under each failure scene:
Average traffic failure index FI (Q under certain failure scenem) and average service impact index II (Qm) pass through following formula meter It calculates:
Wherein, sF、sIRespectively failure service and influence business, SF(Qmi)、SI(Qmi) it is respectively QmI-th in the scene that fails Failure service collection and influence services sets under kind combination, S is network entirety services sets, and is hadFor type of service weight, different types of service is accordingly assigned Different weights is given,For service channel velocity factor, different service channel rates is endowed different power Weight.
It should be noted that the routing of the business in power telecom network is divided into single channel by being divided into double route double route again Part double route and complete double route.For single routing service, failed link is in business routing, then service disconnection fails, For double route business, if having failed link in primary, spare routing, service disconnection failure, if only primary or spare road By there is failed link, then business is impacted.
Business importance value is referred in the present embodiment, and channel service type weight is allocated, as shown in table 5:
Table 5
The weight allocation plan of channel rate is as shown in table 6:
Table 6
For the scene Q that fails0, indicate network in without link failure, therefore under the scene average traffic failure index and Average traffic Intrusion Index is 0.The weight of comprehensive tunnel rate and type of service, according to single link failure, both links The routing distribution of respective various combination and business simultaneously can calculate separately single link failure scene Q1, both links simultaneously Fail scene Q2Average traffic failure index and average service impact index, as shown in table 7.
Table 7
The probability that S5, comprehensive failure scene occur, calculating the whole network integrated service failure index and the whole network integrated service influences Index:
In conjunction with the probability of happening, average traffic failure index and average service impact index of different failure scenes, by following formula It can be calculated the whole network integrated service failure index FI and integrated service Intrusion Index II:
In the present embodiment, the whole network integrated service failure index FI and integrated service Intrusion Index II calculated result such as 7 institute of table Show.
S6, the index FI and integrated service Intrusion Index II that failed according to the whole network integrated service assess power communication network service Running quality, the whole network integrated service failure index FI and integrated service Intrusion Index II is lower, power telecom network service operation matter It measures higher.
The index can effectively measure power telecom network service operation quality, can be by comparing heterogeneous networks or with network The height of FI and II, judges the quality of network service running quality when different business is distributed, and objectively responds power telecom network fortune Row situation.
By being analyzed above it is found that the present embodiment method can rationally comment power telecom network service operation quality Estimate, judges that the quality of network service running quality, assessment result can provide guidance for network O&M department.
For those skilled in the art, it can be provided various corresponding according to above technical solution and design Change and modification, and all these change and modification, should be construed as being included within the scope of protection of the claims of the present invention.

Claims (3)

1. a kind of power telecom network service operation method for evaluating quality, characterized by the following steps:
S1, network model is constructed according to the practical framework and service distribution of power telecom network;The network model includes network section Point, link and network bearer;
The case where S2 is according to link failure constructs different failure scenes, and according to Markov state transition probability, calculates different The probability of happening for the scene that fails;
The given confidence level of S3, basis, determines failure scene number in need of consideration, i.e., in need of consideration while stale link number Maximum value mmax:
P(Qm) it is QmProbability of happening, QmIndicate the failure scene of m link while failure, α is confidence level;
S4, according in step S3 determine failure scene number in need of consideration, comprehensively consider channel service type factor and business Channel rate factor calculates average traffic failure index and average service impact index under each failure scene;
Average traffic failure index FI (Q under certain failure scenem) and average service impact index II (Qm) it is calculate by the following formula:
Wherein, sF、sIRespectively failure service and influence business, SF(Qmi)、SI(Qmi) it is respectively failure scene QmIn i-th kind of chain Failure service collection and influence services sets under the failure combination of road, K indicate failure scene QmIn include link failure number of combinations;S For powerline network entirety services sets, and have For type of service power Weight, different types of service are accordingly assigned different weights,For service channel rate weight, different industry Business channel rate is endowed different weights;
S5, fail index and average traffic Intrusion Index according to the average traffic under different failure scenes, comprehensive failure scene Probability of happening can be calculated the whole network integrated service failure index FI and integrated service Intrusion Index II by following formula:
S6, the index FI and integrated service Intrusion Index II that failed according to the whole network integrated service assess power telecom network service operation matter Amount, the whole network integrated service fails, and index FI and integrated service Intrusion Index II is lower, and power telecom network service operation quality is higher.
2. power telecom network service operation method for evaluating quality according to claim 1, which is characterized in that in step S1, The network model is expressed as follows with figure G:
G=(V, E, S);
Wherein V={ v1,v2,...,vNIndicate power telecom network in node set, network node indicate power telecom network in Electric power communication device, N are number of nodes;E={ e1,e2,...,eMIndicating the set on side, the side indicates electric power communication device Between link, M be link quantity;S={ s1,s2,...,sLIndicate the network carrying collection of services, each industry therein Be engaged in s1,s2,...,sLComprising type of service, service channel speed grade and routing iinformation, L indicates number of services.
3. power telecom network service operation method for evaluating quality according to claim 1, which is characterized in that in step S2, According to Markov state metastasis model, the probability of happening of difference failure scene when link failure is calculated as follows:
Wherein, m=1,2 ..., M, M are the quantity of link, QmIt include K=M!/m!(M-m)!Kind combination;
P indicates single link failure probability under stable environment, its calculation formula is:
P=λ/(λ+μ);
λ indicates link failure crash rate, and μ indicates link failure repair rate.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105469317A (en) * 2015-11-18 2016-04-06 中国电力科学研究院 Electric power communication network reliability analysis method
CN107682075A (en) * 2017-09-19 2018-02-09 贵州电网有限责任公司 A kind of SDH SDH business risk analysis methods based on link failure
CN107872328A (en) * 2016-09-22 2018-04-03 华北电力大学 Based on the polymorphic IEC61850 communication system crash rate computational methods of link
CN108011817A (en) * 2017-11-09 2018-05-08 中国电力科学研究院有限公司 A kind of method and system disposed again to power communication private network business route
CN109034576A (en) * 2018-07-13 2018-12-18 贵州电网有限责任公司 A kind of association analysis method of power telecom network failure inducement and service impact

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105469317A (en) * 2015-11-18 2016-04-06 中国电力科学研究院 Electric power communication network reliability analysis method
CN107872328A (en) * 2016-09-22 2018-04-03 华北电力大学 Based on the polymorphic IEC61850 communication system crash rate computational methods of link
CN107682075A (en) * 2017-09-19 2018-02-09 贵州电网有限责任公司 A kind of SDH SDH business risk analysis methods based on link failure
CN108011817A (en) * 2017-11-09 2018-05-08 中国电力科学研究院有限公司 A kind of method and system disposed again to power communication private network business route
CN109034576A (en) * 2018-07-13 2018-12-18 贵州电网有限责任公司 A kind of association analysis method of power telecom network failure inducement and service impact

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
何玉钧 等: "基于ADC法的电力通信网效能评估模型", 《华北电力大学学报(自然科学版)》 *
周静 等: "一种电力通信网络运行质量量化评估方法及应用", 《电网技术》 *

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