CN104954179B - A kind of analog device networking simulation node information exchange optimized relation system - Google Patents
A kind of analog device networking simulation node information exchange optimized relation system Download PDFInfo
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Abstract
A kind of analog device networking simulation node information exchange optimized relation system of offer of the invention, including the analysis of networks topology of an analysis of networks topology optimizing computer and operation thereon optimize program；The analysis of networks topology optimization program includes network information gathering analysis module, network model establishes module, analysis of networks topology module, network topology structure optimization module and network visualization module；These module work in series, complete analysis optimization and the generation work of communication network." tree-shaped " fabric communication network flattening when the system of the present invention networks existing analog device, height according to information real-time demand establishes the information exchange relation of intercomputer successively, the communication network when establishing the networking of analog device on the basis of taking into account communication network overall network performance.Real-time, synchronism, the accuracy of each simulation node information interaction, improve network communication efficiency and engineering development efficiency when ensure that the networking of analog device.
Description
Technical field
The present invention relates to simulation communication technical field, more particularly to a kind of analog device networking simulation node information exchange
Optimized relation system.
Background technology
The networking of analog device is the trend of the times for the information age carrying out simulated training.The essence of networking process is in simulator
Computer between portion and simulator carries out the process of information exchange.Wherein, the information between different simulator computers is handed over
Mutual relation directly affects the real-time of emulation.The topological structure of analog device networking at present is typically " tree ", i.e. network
Data center calculates computer from the principal solution of different simulators and carries out information exchange, and the principal solution of each simulator calculates computer and flight mould
Intend other computers inside device and carry out information exchange.The problem of this information interaction approach, is：
1st, information transfer efficiency is low between network
By taking other simulators carry out information exchange in certain type simulator and network as an example, first, simulator subsystem is respectively counted
The principal solution that calculation machine is first sent information in simulator calculates computer；Then calculating computer by principal solution will lead to after all information packages
Cross network and be sent to network data center；Then each flight simulation is distributed information between by the network data center for receiving information
The principal solution of device calculates computer；Computer is finally calculated by data distribution to the subsystem computer inside the simulator of place by principal solution.
Direct Communication is unable between computer due to needing to carry out information exchange, thus information transfer efficiency is low between network.
2nd, network information interaction real-time is poor
When analog device is networked, information requirement of real-time is different in network.By taking formation flight simulated training as an example, official
Machine is very high for the azimuth information real-time demand of leader, if the reality that cannot ensure information cannot be handled preferentially it
Shi Xing.When this can cause wingman's observation leader, it is found that leader is in a kind of " shake " state, to the true to nature of flight simulation
Degree has a significant impact.Communication network based on " tree-shaped " structure can only ensure the refreshing according to all data of completion of a certain cycle,
Since data in transmittance process are also required to the time, thus the high data of real-time often due to information transmission link is long cannot be real
Shi Gengxin.
The content of the invention
In order to solve the problems, such as that existing " tree-shaped " communication network exists, the present invention provides a kind of networking of analog device
Simulation node information exchange optimized relation system.
A kind of analog device networking simulation node information exchange optimized relation system provided by the invention includes more than two
Simulator, an analysis of networks topology optimizing computer and operation thereon analysis of networks topology optimization journey
Sequence；The analysis of networks topology optimizing computer is a PC computer or industrial control computer, the network topology
Structural analysis optimization program includes network information gathering analysis module, network model establishes module, analysis of networks topology mould
Block, network topology structure optimization module, network visualization module, these module work in series, complete analyzing, being excellent for communication network
Change and generate work；
The simulator include principal solution calculate computer, a dynamic computer, a what comes into a driver's computer, one
Instrument and sound equipment computer and a religion control platform computer；Information exchange inside simulator between each subsystem and simulator
Realized by these computers, wherein, principal solution calculates computer and is used to resolve various mathematical models and needs to resolve according to emulation
Obtained data, are distributed to other computers on demand；The task of dynamic computer is to receive principal solution to calculate the data that computer is sent,
And carry out further resolve to drive kinaesthesis simulation system in flight simulator to work；The task of what comes into a driver's computer is to connect
Receive principal solution and calculate the data that computer is sent, and further resolve generation virtual views；Instrument and the task of sound equipment computer are to connect
The data that principal solution calculates computer distribution are received, and further resolve driving instrument, sound equipment work；The task of religion control platform computer includes
Initial parameters, meteorological condition, the failure that simulator is run are set, records and shows emulation mode, to the working status of simulator
It is controlled.
The network information gathering analysis module has been internally integrated information real-time overall merit program, is starting to plan
During communication network, collection needs the information interacted between simulator, and various information are high according to its real-time demand
It is low to be ranked up.
The network model establishes inside modules and is integrated with communication network mathematical model modeling program, and the program is according to information
The height of real-time demand describes the information exchange relation of intercomputer successively, passes through the information transmission link between designing a calculating machine
Establish the mathematical model of whole communication network.
The analysis of networks topology inside modules are integrated with network performance analyzer, and the program is by internetworking
Can System of Comprehensive Evaluation subprogram, network performance index counting subroutine and network performance overall merit subprogram three parts
Form, the communication network mathematical model which establishes network model module foundation carries out Analysis of Topological Structure and evaluates its net
The quality of network performance.
The network topology structure optimization module is integrated with network topology structure optimization program, by varying between simulation node
Information exchange relation pair network topology structure optimize with realize lifting network performance purpose.Communication network performance it is excellent
It is bad to be measured with network performance index, and the result of calculation of network performance index is determined by communication network mathematical model.It is logical
The mathematical model of news network describes the topological structure of communication network, its concrete form is adjacency matrix.Member in adjacency matrix
Plain value have recorded the information exchange relation between communication network interior joint, thus the value by varying element in adjacency matrix can
Optimize the topological structure of communication network.Overall merit has been carried out to communication network performance in analysis of networks topology module
In the case of, can be directed to particular network performance indicator there are the problem of, the mode by varying adjacency matrix element value changes
Information exchange relation between simulation node, optimization network topology structure make network have more excellent network performance on the whole.
The network visualization module is integrated with communication network visualization procedure, can be generated and is used for according to network Model
The two dimension view of communication network topology structure is described, engineers and technicians are referred to this two dimension view in engineering practice very
Intuitively construct the outstanding communication network of network performance.
Beneficial effect：The present invention for a kind of analog device network simulation node information exchange optimized relation system, the system
The information exchange relation of intercomputer can be established successively according to the height of interactive information real-time demand and taking into account communication network
Communication network that flattening is established on the basis of overall network performance, that real-time is good.Inside network information gathering analysis module
Information real-time overall merit program is integrated with, the information collected in module is ranked up according to its real-time demand height；
Network model establishes inside modules and is integrated with communication network mathematical model modeling program, and the program is according to the real-time demand of information
Just, the information exchange relation of intercomputer is described until generating the mathematical model of whole communication network with mathematical linguistics successively；
Analysis of networks topology module is integrated with network performance analyzer, and the network performance index of communication network is calculated simultaneously
Performance quality is evaluated；Network topology structure optimization module is integrated with network topology structure optimization program, by optimizing number
Learn the network performance of model lifting communication network；Network visualization inside modules are integrated with communication network visualization procedure, according to
Network model generates the two dimension view of network, and communication network can be intuitively completed in engineering practice according to this two dimension view
Structure.
Brief description of the drawings
Fig. 1 is a kind of structural representation of analog device networking simulation node information exchange optimized relation system of the present invention
Figure.
Fig. 2 is the structure diagram of three simulators.
Fig. 3 is the simulator combined network communication network Model being not optimised.
Fig. 4 is the simulator combined network communication network two dimension view being not optimised.
Fig. 5 is the analysis of networks topology optimization program flow diagram of the present invention.
Fig. 6 is the program flow diagram of the network information gathering analysis module of the present invention.
Fig. 7 is that the network model of the present invention establishes the program flow diagram of module.
Fig. 8 is that the network model of the present invention establishes the communication network mathematical model of module foundation.
Fig. 9 is the program flow diagram of the analysis of networks topology module of the present invention.
Figure 10 is the program flow diagram of the network topology structure optimization module of the present invention.
Figure 11 is the program flow diagram of the network visualization module of the present invention.
Figure 12 is the communication network two dimension view after the optimization of the network visualization module generation of the present invention.
Embodiment
Embodiment 1 is as shown in Figure 1, a kind of analog device networking simulation node information exchange optimized relation system includes two
Simulator, an analysis of networks topology optimizing computer 101 and operation network topology structure thereon point more than platform
Analysis optimization program 102；The analysis of networks topology optimizing computer 101 is that a PC computer or Industry Control calculate
Machine, the analysis of networks topology optimization program 102 includes network information gathering analysis module 103, network model establishes mould
Block 104, analysis of networks topology module 105, network topology structure optimization module 106, network visualization module 107；These
Module work in series, completes the analysis, optimization and generation work of communication network；
The network information gathering analysis module 103 has been internally integrated information real-time overall merit program, is starting
When planning communication network, collection needs the information interacted between simulator, and various information are needed according to its real-time
Height is asked to be ranked up.
The network model establishes module 104 and has been internally integrated communication network mathematical model modeling program, the program according to
The height of information real-time demand describes the information exchange relation of intercomputer successively, is transmitted by the information between designing a calculating machine
The mathematical model of the whole communication network of link establishment.
The analysis of networks topology module 105 has been internally integrated network performance analyzer, and the program is by net
Network performance synthesis assessment indicator system subprogram, network performance index counting subroutine and network performance overall merit subprogram three
Part is formed, and the communication network mathematical model which establishes network model the foundation of module 104 carries out Analysis of Topological Structure simultaneously
Evaluate the quality of its network performance.
The network topology structure optimization module 106 is integrated with network topology structure optimization program, is saved by varying emulation
Information exchange relation pair network topology structure between point is optimized to realize the purpose of lifting network performance.Communication network performance
Quality can be measured with network performance index, and the result of calculation of network performance index is determined by communication network mathematical model
It is fixed.The mathematical model of communication network describes the topological structure of communication network, its concrete form is adjacency matrix.In adjacency matrix
Element value have recorded information exchange relation between communication network interior joint, thus by varying element in adjacency matrix value just
The topological structure of communication network can be optimized.Communication network performance has been carried out in analysis of networks topology module 105
In the case of overall merit, can be directed to particular network performance indicator there are the problem of, by varying adjacency matrix element value
Mode changes the information exchange relation between simulation node, and optimization network topology structure makes network have more excellent net on the whole
Network performance.
The network visualization module 107 is integrated with communication network visualization procedure, can be generated according to network Model
For describing the two dimension view of communication network topology structure, engineers and technicians are referred to this two dimension view in engineering practice
Intuitively construct very much the outstanding communication network of network performance.
The present embodiment provides three simulator networkings and carries out simulated training, as shown in Fig. 2, wherein, simulator 1 includes first
Platform principal solution calculates computer 11, First innervation computer 12, First what comes into a driver's computer 13, First instrument and sound equipment computer
14 and First religion control platform computer 15；Information exchange between each subsystem in the inside of simulator 1 and simulator passes through these
Computer realizes, wherein, principal solution calculates computer 11 and is used to resolve various mathematical models and need to resolve according to emulation to obtain
Data, are distributed to other computers on demand；The task of dynamic computer 12 is to receive principal solution to calculate the data that computer 11 is sent, and
Carry out further resolve to drive kinaesthesis simulation system in flight simulator to work；The task of what comes into a driver's computer 13 is to connect
Receive principal solution and calculate the data that computer 11 is sent, and further resolve generation virtual views；The task of instrument and sound equipment computer 14
It is to receive principal solution to calculate the data that computer 11 is distributed, and further resolves driving instrument, sound equipment work；Religion control platform computer 15
Task includes the initial parameters, meteorological condition, failure for setting simulator to run, and records and shows emulation mode, to simulator
Working status is controlled；
Wherein, simulator 2 includes second principal solution calculation computer 21, second dynamic computers, 22, second what comes into a driver's meter
23, second instrument of calculation machine and sound equipment computer 24 and the 3rd religion control platform computer 25；
Wherein, simulator 3 includes the 3rd principal solution calculation computer 31, the 3rd dynamic computer 32, the 3rd what comes into a driver's meter
Calculation machine 33, the 3rd instrument and sound equipment computer 34 and the 3rd religion control platform computer 35；
The technical functionality of all computers of simulator 2 and simulator 3 is identical with the difference of simulator 1.
Analysis of networks topology optimization program 102 in unused analysis of networks topology optimizing computer 101 carries out
The communication network mathematical model of optimization is as shown in Figure 3.Communication network two dimension view such as Fig. 4 can obtain by communication network mathematical model
It is shown.In this communication network, network node 1 is network data center, and node 2,7,12 is respectively the in three simulators
One principal solution calculates 11, second principal solutions of computer and calculates computer 21, the 3rd principal solution calculation computer 31, and node 2,7,12 passes through section
Point 1 completes the information exchange between three simulators, and node 2,7,12 is completed to believe with other nodes of respective simulator respectively again
Breath interaction.
In the following, by taking this communication network as an example, illustrate how to carry out using analysis of networks topology optimization program 102 excellent
Change.Specific program flow diagram is respectively described below：
As shown in figure 5, analysis of networks topology optimizes program 102 in analysis of networks topology optimizing computer 101
The step of upper operation, is as follows：
Perform step 300, initialization；
Perform step 305, network information gathering analysis：Network information gathering analysis module 103 is started to work, this module tool
There is visualization interface, can be gathered when analog device is networked by this interface needs the information interacted between simulator simultaneously
Preserve in the database, corresponding weighted value is assigned to the information that collects according to real-time demand height, and by information and power
Weight values are sent to network model and establish module 104；
Step 310 is performed, establishes network model：Network model establishes module 104 and receives network information gathering analysis mould
Block 103 send information and weighted value after, the real-time demand high and low level of information will be judged according to weighted value size, according to by
High to Low sequential build transmits the information link of this information, finally establishes communication network mathematical model；
Perform step 315, analysis of networks topology：Analysis of networks topology module 105 will establish network model
The communication network mathematical model that module 104 is established carries out network performance analysis and overall merit；
Perform step 320, network topology structure optimization：Network topology structure optimization module 106 is with network topology structure point
Analyse module 105 generate comprehensive evaluation result be foundation, by way of optimizing information transmission link to communication network model into
Row optimization；
Perform step 325, network visualization：Communication network mathematical model by optimization and the final shaping will can by network
Depending on changing the progress visualization processing of module 107 and generating communication network two dimension view, according to this two dimension view, it is responsible for structure communication network
The engineers and technicians of network can intuitively complete the structure of communication network in engineering practice.
As shown in fig. 6, network information gathering analysis module 103 is as follows the step of operation：
Step 400 is performed, is started；
Step 405 is performed, gathers the network information；
Step 410 is performed, there is a visualization interface for being used to gather interactive information between flight simulator, the network of collection
Information is stored in database；
Step 415 is performed, network information real-time is evaluated, assigning one for information measures its real-time demand height
Low weighted value.This weighted value scope is 0 to 1, and the real-time demand for being worth bigger information is higher；
Step 420 is performed, the network information is ranked up by real-time height；
Step 425 is performed, is terminated.
As shown in fig. 7, network model establish module 104 run the step of it is as follows：
Step 500 is performed, is started；
Step 505 is performed, according to the height of interactive information real-time demand, information is retrieved successively；
Step 510 is performed, the information exchange relation between describing flight simulator with mathematical linguistics, establishes network information transfer
Link；
Perform step 515, if travel through all informationIt is no, perform step 505；It is to perform step 520；
Step 520 is performed, establishes communication network mathematical model；
The mathematical model of communication network is mainly used for describing computer and its information exchange relation in communication network, therefore
It can be represented with adjacency matrix.As shown in figure 8, the communication network mathematical model after optimization can be established.
Step 525 is performed, is terminated.
As shown in figure 9, analysis of networks topology module 105 is as follows the step of operation：
Step 600 is performed, is started；
Perform step 605, communication network performance Index Calculation；To overall merit communication network performance generally require it is comprehensive
Close and consider multiple communication network performance indicators, therefore, a complete network performance index overall evaluation system includes multiple nets
Network performance indicator.Here illustrated by taking wherein mostly important index-average path length as an example.Average path length is
The average value of distance in communication network between any two node, the important finger of real-time is transmitted for measuring communication network information
Mark.The smaller explanation communication network information transmission real-time of numerical value of average path length is better, its calculation formula is as follows：
Wherein, N is network node quantity；For the distance between any two node in network, i.e. between two nodes on shortest path
Side quantity.
Perform step 610, communication network Performance Analysis；Equally by taking average path length as an example, by communication network
Mathematical model can calculate the average path length of communication network according to calculation formula.Its average road of communication network before optimization
Electrical path length is 2.66, and is optimized using analysis of networks topology optimization program 102, performs the communication network that step 520 is established
Model, its characteristic path length have shorten to 2.06, if be not yet satisfied with to this index, can be carried out by following step
Further optimization.
Claims (1)
- The simulation node information exchange optimized relation system 1. a kind of analog device is networked, it is characterised in that including more than two moulds Intend the analysis of networks topology optimization program of device, an analysis of networks topology optimizing computer 101 and operation thereon 102；The analysis of networks topology optimizing computer（101）It is a PC computer or industrial control computer, the net Network Analysis of Topological Structure optimizes program（102）Including network information gathering analysis module（103）, network model establish module （104）, analysis of networks topology module（105）, network topology structure optimization module（106）, network visualization module （107）；These module work in series, complete the analysis, optimization and generation work of communication network；The simulator includes a principal solution and calculates computer, dynamic computer, a what comes into a driver's computer, an instrument And sound equipment computer and a religion control platform computer；Information exchange inside simulator between each subsystem and simulator passes through The realization of these computers, wherein, principal solution calculates computer and is used to resolve various mathematical models and needs to obtain resolving according to emulation Data, be distributed to other computers on demand；The task of dynamic computer is to receive principal solution to calculate the data that computer is sent, and is gone forward side by side Row is further to be resolved to drive kinaesthesis simulation system in simulator to work；The task of what comes into a driver's computer is to receive principal solution to calculate The data that computer is sent, and further resolve generation virtual views；Instrument and the task of sound equipment computer are to receive principal solution to calculate The data of computer distribution, and further resolve driving instrument, sound equipment work；The task of religion control platform computer, which includes setting, to be simulated Initial parameters, meteorological condition, the failure of device operation, record and show emulation mode, the working status of simulator is controlled；The network information gathering analysis module（103）Be internally integrated information real-time overall merit program, starting to advise When drawing communication network, collection needs the information interacted between simulator, and by various information according to its real-time demand Height is ranked up；The network model establishes module（104）Communication network mathematical model modeling program is internally integrated, the program is according to letter The height of breath real-time demand describes the information exchange relation of intercomputer successively, by the information chain for establishing intercomputer The mathematical model of whole communication network is established on road；The analysis of networks topology module（105）Network performance analyzer is internally integrated, the program is by network Performance synthesis assessment indicator system subprogram, network performance index counting subroutine and network performance overall merit subprogram three Divide and form, which establishes module to network model（104）The communication network mathematical model of foundation carries out Analysis of Topological Structure simultaneously Evaluate the quality of its network performance；The network topology structure optimization module（106）Network topology structure optimization program is integrated with, by varying simulation node Between information exchange relation pair network topology structure optimize with realize lifting network performance purpose, the mathematics of communication network Model describes the topological structure of communication network, its concrete form is adjacency matrix, and the element value in adjacency matrix have recorded logical The information exchange relation between nodes is interrogated, thus, the value by varying element in adjacency matrix just optimizes communication network Topological structure；The network visualization module（107）Communication network visualization procedure is integrated with, is used for according to network Model generation The two dimension view of communication network topology structure is described, engineers and technicians are very straight in engineering practice with reference to this two dimension view Construct the outstanding communication network of network performance with seeing.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426424A (en) * | 2011-09-28 | 2012-04-25 | 天津大学 | Visual emulation method of near-space flying vehicle based on distributed framework |
| CN103856483A (en) * | 2013-12-31 | 2014-06-11 | 中国人民解放军空军航空大学军事仿真技术研究所 | Communication method for flight simulator |
-
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102426424A (en) * | 2011-09-28 | 2012-04-25 | 天津大学 | Visual emulation method of near-space flying vehicle based on distributed framework |
| CN103856483A (en) * | 2013-12-31 | 2014-06-11 | 中国人民解放军空军航空大学军事仿真技术研究所 | Communication method for flight simulator |
Non-Patent Citations (2)
| Title |
|---|
| 基于模糊层次分析法的飞行模拟器效能评估;吴东岩等;《武器装备自动化》;20071231;第26卷(第11期);全文 * |
| 飞行模拟器协同训练网络互操作仿真;胡建学等;《系统仿真学报》;20130831;第25卷(第8期);全文 * |
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