CN106713043B - Communication network modeling analysis method oriented to cyber-physical fusion system - Google Patents
Communication network modeling analysis method oriented to cyber-physical fusion system Download PDFInfo
- Publication number
- CN106713043B CN106713043B CN201611253128.4A CN201611253128A CN106713043B CN 106713043 B CN106713043 B CN 106713043B CN 201611253128 A CN201611253128 A CN 201611253128A CN 106713043 B CN106713043 B CN 106713043B
- Authority
- CN
- China
- Prior art keywords
- communication network
- communication
- analysis
- performance
- modeling
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004891 communication Methods 0.000 title claims abstract description 386
- 238000004458 analytical method Methods 0.000 title claims abstract description 108
- 230000004927 fusion Effects 0.000 title claims abstract description 26
- 230000002452 interceptive effect Effects 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000005540 biological transmission Effects 0.000 claims description 13
- 230000006870 function Effects 0.000 claims description 12
- 239000011159 matrix material Substances 0.000 claims description 9
- 238000012546 transfer Methods 0.000 claims description 6
- 239000000872 buffer Substances 0.000 claims description 5
- 230000001934 delay Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000011160 research Methods 0.000 abstract description 3
- 238000004364 calculation method Methods 0.000 description 6
- 230000003111 delayed effect Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a communication network modeling analysis method for an information physical fusion system, which comprises a communication network modeling stage and a communication network communication performance analysis stage; the communication network modeling stage comprises communication network nodes, communication network branch modeling and communication network modeling; the communication performance analysis stage of the communication network comprises the steps of searching a communication path through path search according to an established communication network model, calculating and analyzing the performance of the communication path communication network by adopting a communication performance analysis function, realizing data interconnection with other applications in the communication network through an interactive interface, and determining the communication performance analysis according to specific requirements; the method can analyze the communication performance of the communication networks corresponding to different power applications to accurately research the influence of the communication information system on the power system, and provides a basis for the overall modeling and analysis of the power information physical fusion system.
Description
Technical Field
The invention belongs to the technical field of modeling analysis of an electric power information physical fusion system, and particularly relates to a communication network modeling analysis method for an information physical fusion system.
Background
With the development of the smart power grid and the energy Internet, the problem of influence of communication information relief on a physical system is more prominent. The smart grid positioning is a novel power grid operating on advanced IT technology, the number of sensors, the scale of an information network and the number of decision units are greatly increased, and the development of an energy internet further couples various energy systems and information systems together. It can be said that the normal operation of the power system now does not depend on a reliable information system at all times, and due to this dependency, the failure of the information system will also significantly affect the operation of the physical system.
The existing power system modeling, analyzing and controlling method is developed for the traditional power system, wherein the influence of the power information system is not fully considered. Because a large number of sensing devices exist in the smart grid, and the smart grid highly depends on a communication network to realize information summarization, and further performs optimization control on the system, as an important component of the smart grid, the power information system has a significant influence on the operation behavior of the power system. Therefore, the research on the communication network modeling and analyzing method oriented to the information physical fusion system has an important promoting effect on the realization of the intelligent power grid.
Disclosure of Invention
The purpose of the invention is as follows: the modeling analysis method for the communication network oriented to the cyber-physical system can analyze the communication performance of communication networks corresponding to different power applications to accurately research the influence of the communication information system on the power system and provide a basis for the overall modeling and analysis of the cyber-physical system.
The technical scheme is as follows: in order to achieve the aim, the communication network modeling analysis method for the cyber-physical fusion system comprises a communication network modeling stage and a communication network communication performance analysis stage;
the communication network modeling phase comprises the following steps:
s11, modeling the communication network nodes and the communication network branches according to the communication state of the communication network:
under the normal communication state of the communication network:
let communication network node and communication network branch be lij，lijThe length of the memory buffer queue is denoted as Qij，lijIs denoted by Cij，lijThe velocity of the incoming signal is denoted Vij，lijIs expressed as LijLet us set the communication performance LijIn the form of a tuple, a tuple communication capability LijAccording to the communication performance analysis requirement, setting the output variable Y as LijInput variable u ═ Cij,Vij)TThe state variable X is QijThen the communication network node and communication network branch model is expressed as:
Y(t)＝AkX’(t)+Bku(t)
X’(t)＝CkX(t)+Dku(t)
a abovek，Bk，Ck，DkIs a constant number, Ak，Bk，Ck，DkThe value is determined by the communication protocol and the communication state, wherein the value K is determined by the communication state of the communication network, and the communication state of the communication network is in a normal state: get AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get AkIs A0，BkIs B0，CkIs C0，DkIs D0，
Communication network node and communication network branch model under different communication states of communication network:
a finite automaton modeling method is introduced to model communication network nodes and communication network branches, and binary groups are introduced
Wherein SkIn the form of a set of discrete states,
for discrete state transfer functions, discrete state transfer functions
In relation to the system state variables X and the constraint α, the above analysis results in a hybrid system model of the communication network nodes and communication network legs, which is expressed as a tuple:
in the above formula, Sk，Ak，Bk，Ck，DkThe middle K value is determined by the communication state of the communication network, and the communication state of the communication network is normal: get SkIs S1，AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get SkIs S0，AkIs A0，BkIs B0，CkIs C0，DkIs D0；
S12 models the communication network:
the communication network is defined to include n communication nodes, and a communication network adjacency matrix L is used for describing the communication network, and the structure of the matrix L is defined as follows:
l in the above formulaijIn
When there is no direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance Lij0; when there is a direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance LijIs not 0;
the communication network communication performance analysis phase comprises the following steps:
s21, firstly, carrying out communication path searching step to the communication network model established in the above step to obtain a communication path;
s22, adopting communication performance analysis function to analyze and calculate different performance indexes of the communication path obtained in the step S21 to obtain a communication performance analysis result;
and S23, outputting the communication performance analysis result to other applications of the power information physical fusion system through an interactive interface.
Further, in step S21, the communication path is specifically searched out according to different routing protocols of the communication layer or directly acquired through a static configuration mode.
Further, the communication performance analysis comprises communication delay analysis, interruption probability analysis and transmission error probability analysis, so that the multi-element communication performance Lij＝(Tij,PBij,PMij)TWherein T isijRepresenting communication delays, P, of nodes and branches of a communication networkBijIndicating the probability of interruption of a communication network node and a communication network leg and PMijRepresenting the transmission error probability of the communication network node and the communication network leg.
Further, according to the communication performance analysis requirements of other applications of the power information physical fusion system, the communication performance multi-element group L of the communication network nodes and the communication network branchesijAnd expanding, specifically receiving communication performance analysis requirements of other applications of the power information physical fusion system through the interactive interface.
Has the advantages that: compared with the prior art, the invention has the advantages that:
1. by adopting the modeling analysis method, the communication performance of the communication network corresponding to different power applications can be analyzed, the influence of a communication information system on a power system can be accurately researched, and a foundation is provided for the integral modeling and analysis of a power information physical fusion system;
2. the communication analysis application has expandability, which is mainly embodied in that different application analysis and calculation methods are relatively independent, and different analysis methods, such as deterministic delay values or delayed probability distribution calculation, can be established according to requirements for the same communication performance;
3. the interaction interface has expandability, and mainly embodies that the analysis result of the communication layer application can be accessed to different places through different interaction interfaces. If the safety control master station can be accessed, the safety control master station is used for analyzing the safety control performance. The system can also be accessed to a power control center and applied to application analysis of the control center.
Drawings
Fig. 1 is a structural diagram of a communication network performance analysis method according to the present invention.
Fig. 2 is a diagram of a communication network structure according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
The invention provides a communication network modeling analysis method for an information physical fusion system, which comprises a communication network modeling stage and a communication network communication performance analysis stage; the communication network modeling stage comprises communication network nodes, communication network branch modeling and communication network modeling; the communication performance analysis stage comprises the steps of searching a communication path through path search according to an established communication network model, calculating and analyzing the performance of the communication path communication network by adopting a communication performance analysis function, and realizing data interconnection with other applications in the communication network through an interactive interface, wherein the communication performance analysis is determined according to specific requirements, for example, the communication performance analysis comprises communication delay performance analysis, communication interruption probability analysis and communication error probability analysis;
modeling of communication network nodes and communication branches:
the modeling of the communication network node and the communication network branch is mainly used for describing the relation between the communication performance of the communication network node and the communication network branch and the monitorable state variables of the communication network node and the communication network branch, the communication network node and the communication network branch both comprise memory buffers, and data packets entering the communication network node and the communication network branch are firstly stored in the memory buffers of the communication network node and the communication network branch for waiting processing and transmission; note that: under different communication protocols, the data transmission mechanisms are different; even under the same communication protocol, the transmission mechanisms of data of the communication network in different communication states (different communication states of the communication network include a communication normal state of the communication network, a communication congestion state of the communication network, and the like) are different, and the data transmission mechanisms are different, so that the state space descriptions of the communication network node and the communication network branch in different states are different, therefore, in order to describe the state space of the communication network node and the communication network branch in different states, a finite automaton modeling method is introduced, before describing the method, the modeling of the communication network node and the communication network branch in the communication normal state of the communication network is described:
under a certain communication protocol, under the normal communication state of the communication network, the nodes and branches of the communication network are expressed as lij，lijThe length of the memory buffer queue is denoted as Qij，lijIs denoted by Cij，lijThe velocity of the incoming signal is denoted Vij，lijIs expressed as LijLet us set the communication performance LijIn the form of a tuple, a tuple communication capability LijAccording to the communication performance analysis requirement, setting the output variable Y as LijInput variable u ═ Cij,Vij)TThe state variable X is QijThen the communication network node and communication network branch model is expressed as:
Y(t)＝AkX’(t)+Bku(t)
X’(t)＝CkX(t)+Dku(t)
for A in the above formulak，Bk，Ck，DkIs a constant number, Ak，Bk，Ck，DkThe value is determined by the communication protocol and the communication state, wherein the value K is determined by the communication state of the communication network, and the communication state of the communication network is in a normal state: get AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get AkIs A0，BkIs B0，CkIs C0，DkIs D0Then, in the normal communication state of the communication network, the communication network node and the communication network branch model are expressed as:
Y(t)＝A1X’(t)+B1u(t)
X’(t)＝C1X(t)+D1u(t)
for describing the state space of communication network nodes and communication network branches between different states, a binary group is introduced
Wherein SkIn the form of a set of discrete states,
for discrete state transfer functions, discrete state transfer functions
In relation to the system state variables X and the constraint α, the above analysis results in a hybrid system model of the communication network nodes and communication network legs, which is expressed as a tuple:
in the above formula, Sk，Ak，Bk，Ck，DkThe middle K value is determined by the communication state of the communication network, and the communication state of the communication network is normal: get SkIs S1，AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get SkIs S0，AkIs A0，BkIs B0，CkIs C0，DkIs D0；
Modeling a communication network:
the topological connection relation of the communication network is described by adopting a matrix, the communication network is provided with n communication nodes, the communication network is described by adopting a communication network adjacent matrix L, and the structure of the matrix L is defined as follows:
l in the above formulaijIn
When there is no direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance Lij0; when there is a direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance LijIs not 0;
lijis expressed as LijLet us set the communication performance LijIn the form of a tuple, a tuple communication capability LijDetermining the communication performance L according to the communication performance analysis requirement, and if the communication performance analysis comprises communication delay analysis, interruption probability analysis and transmission error probability analysisij＝(Tij,PBij,PMij)TWherein T isijRepresenting communication delays, P, of nodes and branches of a communication networkBijIndicating the probability of interruption of a communication network node and a communication network leg and PMijRepresenting the transmission error probability of the communication network node and the communication network branch;
communication performance tuple L of communication network nodes and communication network branches according to communication performance analysis requirements of other applications of power information physical fusion systemijThe expansion is carried out, specifically, the communication performance analysis requirements, such as bit error rate and the like, of other applications of the power information physical fusion system are received through the interactive interface, and the newly established model cannot be used for the existing modelThe type has an influence;
communication performance analysis stage of communication network:
modeling the communication network by adopting the modeling method provided by the steps, and continuously refreshing model parameters according to the real-time data of the communication network to obtain a real-time communication network model; aiming at a real-time communication network model, a communication path is obtained through a communication path searching function, specifically, the communication path is searched out according to different routing protocols of a communication layer or is directly obtained through a static configuration mode, and the communication path is searched for as a basic application of communication performance analysis; analyzing and calculating different performance indexes of the obtained communication path by adopting a communication performance analysis function to obtain a communication performance analysis result, for example, performing communication analysis by adopting a communication delay analysis function, an interruption probability analysis function and a transmission error probability analysis function; outputting the communication performance analysis result to other applications of the power information physical fusion system through an interactive interface;
the expandability of the communication analysis application is mainly embodied in that different application analysis and calculation methods are relatively independent, different analysis methods such as deterministic delay values or delayed probability distribution calculation can be established according to requirements for the same communication performance, and corresponding analysis methods also need to be expanded for newly added models in a communication network model.
The expandability of the interactive interface is mainly embodied in that the analysis result of the communication layer application can be accessed to different places through different interactive interfaces. If the safety control master station can be accessed for analyzing the safety control performance, the electric power control center can also be accessed for application analysis of the control center;
the invention can describe the communication performance of the communication network and carry out related analysis on the communication performance, can be used for researching the influence of communication on the power system, and provides a basis for the analysis of the information physical fusion system.
As shown in fig. 1, model parameters are continuously refreshed according to real-time data of the communication network to obtain a real-time communication network model, and the method is realized by establishing the real-time communication network model, analyzing communication performance and applying an interactive interface; adopting communication network incidence matrix in the communication network model building processL is used for describing the communication network, and the communication performance multi-element group L of the communication network nodes and the communication network branches is obtained according to the communication performance analysis requirements of other applications of the power information physical fusion systemijExpanding, specifically receiving communication performance analysis requirements, such as bit error rate and the like, of other applications of the power information physical fusion system through an interactive interface, wherein the newly established model does not influence the existing model; in the communication performance analysis application, a communication path needs to be searched to obtain a communication path, then the communication path is subjected to communication delay analysis, interruption probability analysis and transmission error probability analysis, in addition, an application expansion area is adopted to expand the application analysis, and the expandability of the communication analysis application is mainly embodied in that different application analysis and calculation methods are relatively independent, different analysis methods such as deterministic delay values or delayed probability distribution calculation and the like can be established according to requirements for the same communication performance, and corresponding analysis methods also need to be expanded for newly added models in a communication network model; the interactive interface is used for completing data transmission with other applications in a communication network, the interactive interface has the function of outputting the result of communication performance analysis to other applications of the power information physical fusion system through the interactive interface or receiving the communication performance analysis requirement of other applications from the power information physical fusion system through the data interactive interface, and the interface expansion area is mainly embodied in that the analysis result of the communication layer application can be accessed to different places through different interactive interfaces. If the safety control master station can be accessed for analyzing the safety control performance, the electric power control center can also be accessed for application analysis of the control center.
Example (b):
referring to fig. 2, a specific embodiment of the present invention will be described by taking an example of a secure and stable control SDH communication network. The SDH11 and SDH 21 nodes are respectively connected with a security control substation and an execution station device, and the substation and the execution station communicate in a point-to-point optical fiber communication mode; for convenience of explaining the method used in the invention, only the simplest communication network node and branch model is adopted to analyze the failure rate of the communication channel.
Under the normal state of the communication network, the communication network node and the communication network branch are modeled, the fault rates of communication channels of the communication network node and the communication network branch are analyzed, and the fault rates of the communication channels of the communication network node and the communication network branch are expressed by constants:
modeling the communication network, and when the communication network node i is not directly connected with the communication network node j, the communication network branch lijCommunication performance Lij0; when there is a direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance Lij＝Pi-j；
The communication network adjacency matrix L can be obtainedijAs follows:
communication network performance analysis:
firstly, searching a communication path, wherein the routing is statically configured due to the fact that a point-to-point communication mode is adopted by a security control service, the main path is 11-2-3-21, and the standby path is 11-6-5-4-3-21;
communication channel interruption probability analysis:
Pm＝1-P11*P11-2*P2*P2-3*P3
Pb＝1-P11*P11-6*P6*P6-5*P5*P5-4*P4*P4-3
Pv＝Pm*Pb
Pv3-21＝1-P3-21*P21
P11-21＝Pv+Pv3-21-(Pv*Pv3-21)
wherein, PmIs the probability of interruption, P, of the main path (11-2-3)bProbability of interruption for the backup path (11-6-5-4-3), PvFor node 11 to node 3 communicationProbability of interruption, Pv3-21Probability of interruption, P, for the link 3-2111-21Probability of disruption to the communication for node 11 and node 21;
and finally, outputting the interruption probability analysis result through an interactive interface for subsequent analysis.
In the present embodiment, only the communication interruption probability analysis is considered, and modeling and analysis methods such as communication delay can be extended, and the extended method has no influence on the original analysis application.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (4)
1. A communication network modeling analysis method oriented to an information physical fusion system is characterized in that: the method comprises a communication network modeling stage and a communication network communication performance analysis stage;
the communication network modeling phase comprises the following steps:
s11, modeling the communication network nodes and the communication network branches according to the communication state of the communication network:
under the normal communication state of the communication network:
let communication network node and communication network branch be lij，lijThe length of the memory buffer queue is denoted as Qij，lijIs denoted by Cij，lijThe velocity of the incoming signal is denoted Vij，lijIs expressed as LijLet us set the communication performance LijIn the form of a tuple, a tuple communication capability LijAccording to the communication performance analysis requirement, setting the output variable Y as LijInput variable u ═ Cij,Vij)TThe state variable X is QijThen the communication network node and communication network branch model is expressed as:
Y(t)＝AkX’(t)+Bku(t)
X’(t)＝CkX(t)+Dku(t)
a abovek，Bk，Ck，DkIs a constant number, Ak，Bk，Ck，DkThe value is determined by the communication protocol and the communication state, wherein the value K is determined by the communication state of the communication network, and the communication state of the communication network is in a normal state: get AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get AkIs A0，BkIs B0，CkIs C0，DkIs D0；
Communication network node and communication network branch model under different communication states of communication network:
a finite automaton modeling method is introduced to model communication network nodes and communication network branches, and binary groups are introduced
Wherein SkIn the form of a set of discrete states,
for discrete state transfer functions, discrete state transfer functions
In relation to the system state variables X and the constraint α, the above analysis results in a hybrid system model of the communication network nodes and communication network legs, which is expressed as a tuple:
in the above formula, Sk，Ak，Bk，Ck，DkThe middle K value is determined by the communication state of the communication network, and the communication state of the communication network is normal: get SkIs S1，AkIs A1，BkIs B1，CkIs C1，DkIs D1(ii) a In a congested state of the communication network: get SkIs S0，AkIs A0，BkIs B0，CkIs C0，DkIs D0；
S12 models the communication network:
the communication network is defined to include n communication nodes, and a communication network adjacency matrix L is used for describing the communication network, and the structure of the matrix L is defined as follows:
l in the above formulaijIn
When there is no direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance Lij0; when there is a direct connection between communication network node i and communication network node j, communication network branch lijCommunication performance LijIs not 0;
the communication network communication performance analysis phase comprises the following steps:
s21, firstly, carrying out communication path searching step to the communication network model established in the above step to obtain a communication path;
s22, adopting communication performance analysis function to analyze and calculate different performance indexes of the communication path obtained in the step S21 to obtain a communication performance analysis result;
and S23, outputting the communication performance analysis result to other applications of the power information physical fusion system through an interactive interface.
2. The communication network modeling analysis method for the cyber-physical system according to claim 1, wherein: in step S21, a communication path is specifically searched out according to different routing protocols of the communication layer or directly obtained through a static configuration mode.
3. The communication network modeling analysis method for the cyber-physical system according to claim 1, wherein: the communication performance analysis comprises communication delay analysis, interruption probability analysis and transmission error probability analysis, and then the multi-element communication performance Lij＝(Tij,PBij,PMij)TWherein T isijRepresenting communication delays, P, of nodes and branches of a communication networkBijIndicating the probability of interruption of a communication network node and a communication network leg and PMijRepresenting the transmission error probability of the communication network node and the communication network leg.
4. The communication network modeling analysis method for the cyber-physical fusion system according to claim 1 or 3, characterized in that: communication performance tuple L of communication network nodes and communication network branches according to communication performance analysis requirements of other applications of power information physical fusion systemijAnd expanding, specifically receiving communication performance analysis requirements of other applications of the power information physical fusion system through the interactive interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611253128.4A CN106713043B (en) | 2016-12-30 | 2016-12-30 | Communication network modeling analysis method oriented to cyber-physical fusion system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611253128.4A CN106713043B (en) | 2016-12-30 | 2016-12-30 | Communication network modeling analysis method oriented to cyber-physical fusion system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106713043A CN106713043A (en) | 2017-05-24 |
| CN106713043B true CN106713043B (en) | 2020-04-14 |
Family
ID=58906136
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611253128.4A Active CN106713043B (en) | 2016-12-30 | 2016-12-30 | Communication network modeling analysis method oriented to cyber-physical fusion system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106713043B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107423493B (en) * | 2017-07-02 | 2020-11-06 | 国电南瑞科技股份有限公司 | Power information physical coupling modeling method based on incidence matrix |
| CN110266566B (en) * | 2019-07-16 | 2022-07-01 | 华北电力大学（保定） | Method for evaluating transmission performance of power communication network |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015022019A1 (en) * | 2013-08-13 | 2015-02-19 | Siemens Aktiengesellschaft | Method and system for planning a communication network of an industrial automation system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102801568B (en) * | 2012-08-31 | 2014-10-15 | 桂林电子科技大学 | Method and device for dynamically evaluating reliability of network |
| CN103179001B (en) * | 2013-04-17 | 2015-09-30 | 重庆邮电大学 | A kind of reliability of electric force communication network appraisal procedure based on operating path information |
| CN104701989B (en) * | 2015-03-20 | 2017-12-01 | 国家电网公司 | Power network and the double net coupling modeling methods of communication network isomery under intelligent grid background |
| CN104882970B (en) * | 2015-06-29 | 2017-04-05 | 中国电力科学研究院 | Active distribution network distributed collaboration exchange method based on the complete matrix of communication topology |
-
2016
- 2016-12-30 CN CN201611253128.4A patent/CN106713043B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015022019A1 (en) * | 2013-08-13 | 2015-02-19 | Siemens Aktiengesellschaft | Method and system for planning a communication network of an industrial automation system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106713043A (en) | 2017-05-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Manias et al. | Making a case for federated learning in the internet of vehicles and intelligent transportation systems | |
| CN106713043B (en) | Communication network modeling analysis method oriented to cyber-physical fusion system | |
| Qadir et al. | SDNs, clouds, and big data: new opportunities | |
| CN106383861A (en) | Data synchronization method and apparatus used for databases | |
| CN116595690A (en) | Computer network performance evaluation model construction method, system, equipment and medium based on knowledge fusion graph neural network | |
| US10313470B2 (en) | Hierarchical caching and analytics | |
| CN114422453A (en) | Method, device and storage medium for online planning of time-sensitive streams | |
| CN103733188A (en) | Invalidating streams in operator graph | |
| Valuskar et al. | Statistical traffic pattern for mixed torus topology and pathfinder based traffic and thermal aware routing protocol on NoC | |
| CN104882007A (en) | Traffic signal control system building method based on stream computing and control system | |
| Tang et al. | Intelligent awareness of delay-sensitive internet traffic in digital twin network | |
| CN109446146B (en) | State transition sequence generation method of application layer communication protocol | |
| Pasteris et al. | Data distribution and scheduling for distributed analytics tasks | |
| CN108280775B (en) | Layered distribution hybrid computing architecture system and method of power information physical system | |
| CN115629883A (en) | Resource prediction method, resource prediction device, computer equipment and storage medium | |
| CN116055377A (en) | Time-sensitive network traffic scheduling method for power service | |
| Liu | Multimedia intelligent fog computing scheme based on robust perception for complex networks | |
| Yan | News and public opinion multioutput IoT intelligent modeling and popularity big data analysis and prediction | |
| Turkmanović et al. | Simulation framework for performance analysis in multi-tier IoT Systems | |
| Ji et al. | Study on QoS Routing Optimization Algorithms for Smart Ocean Networks | |
| Peng et al. | Design games to solve distributed optimization problem with application in electric vehicle charge management | |
| Le et al. | Component-based abstraction of petri net models: An application for congestion verification of wireless sensor networks | |
| US12137051B1 (en) | Network analysis and management based on a quantitative theory of bottleneck structures | |
| He et al. | Performance analysis of data gathering protocol using PRISM | |
| CN118869567A (en) | Collective communication processing method, collective communication processing device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |