CN107371177B - Avionics network wireless networking analysis method - Google Patents
Avionics network wireless networking analysis method Download PDFInfo
- Publication number
- CN107371177B CN107371177B CN201710257686.6A CN201710257686A CN107371177B CN 107371177 B CN107371177 B CN 107371177B CN 201710257686 A CN201710257686 A CN 201710257686A CN 107371177 B CN107371177 B CN 107371177B
- Authority
- CN
- China
- Prior art keywords
- communication
- avionic
- weight
- performance
- cost
- 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
- 230000006855 networking Effects 0.000 title claims abstract description 27
- 238000004458 analytical method Methods 0.000 title claims abstract description 20
- 238000004891 communication Methods 0.000 claims abstract description 245
- 238000005457 optimization Methods 0.000 claims abstract description 10
- 238000013433 optimization analysis Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 19
- 238000012423 maintenance Methods 0.000 abstract description 2
- 238000011160 research Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a wireless networking analysis method for an avionic network, which comprises the following steps: 1) acquiring relevant parameters of communication paths among modules in an avionic system; 2) acquiring relevant parameters of all available communication modes in the avionic system; 3) and (2) carrying out selection optimization analysis on the communication modes of the communication paths in the step 1) in the communication modes provided in the step 2) from the aspects of communication performance of the communication network, the weight of the communication terminal and the communication medium and the cost of the communication terminal and the communication medium, and obtaining and outputting a wired and wireless hybrid avionic network scheme by the communication modes. The invention constructs a built-in wireless optimization balance model of the avionic network based on balance analysis, performs wireless optimization on the existing avionic network to form a safe, high-speed and reliable wired and wireless hybrid avionic network optimization architecture, and replaces part of wired avionic networks by wireless networks, thereby improving the reliability of the avionic network, reducing the weight of the airplane and the maintenance cost.
Description
Technical Field
The invention relates to a wireless networking analysis method for an avionic network, and belongs to the fields of avionic system design, wireless communication technology, balance research and the like.
Background
Along with the development of the technology, the functions of an avionics system become more and more complex, the communication requirements among modules of the avionics system become higher and higher, so that the avionics system needs a large amount of communication media such as wires, cables and optical fibers, the manufacturing cost of an airplane is greatly improved in the aspects of airplane line design, cable manufacturing and the like, and the difficulty in overhauling, maintaining and upgrading avionics equipment is aggravated by the complex communication cables. On the other hand, the weight of the cable connecting the avionics equipment occupies 2% -5% of the weight of the whole airplane, which also increases the fuel consumption of the airplane.
In recent years, wireless technology is rapidly developed, and the wireless technology is applied to an avionic network in an airplane, so that the weight of the airplane can be effectively reduced, and the workload and cost for maintaining and upgrading an avionic system in the airplane can be remarkably reduced. However, a huge number of wired communication paths exist in the avionic network, and various wireless communication methods can be selected, so how to match the existing wireless communication methods available in the avionic network to the huge number of wired communication paths in the avionic network to realize the optimal communication performance, and simultaneously, the cost and the weight of the avionic network are also optimized becomes an urgent problem to be solved.
In the research aiming at the problem, relevant reports are not seen at present, and only a few reports related to the airplane built-in radio are still in the stage of the discussion of the available spectrum of the built-in radio. The huge number of wired communication paths in the avionic network have respective communication requirements, and various wireless communication technologies have respective advantages in communication performance (such as communication speed, real-time performance and the like), so that wireless network matching selection is firstly required in the avionic network in a wireless mode.
Disclosure of Invention
The invention aims to provide a wireless networking analysis method for an avionic network, aiming at the problem of network matching selection when the avionic network is in a wireless mode. The existing avionic network is wirelessly optimized through an avionic network wireless networking analysis method, a safe, high-speed and reliable wired and wireless hybrid avionic network optimization architecture is formed, and a wireless network replaces part of wired avionic networks, so that the reliability of the avionic network is improved, the weight of an airplane is reduced, and the maintenance cost is reduced.
The invention aims to be realized by the following technical scheme:
a wireless networking analysis method for an avionic network comprises the following steps:
step 1) acquiring relevant parameters of communication paths among modules in an avionic system;
step 2) acquiring relevant parameters of all available communication modes in the avionic system;
and 3) carrying out selection optimization analysis on the communication modes of the communication paths in the step 1) in the communication modes provided in the step 2) from the communication performance of the communication network, the weight of the communication terminal and the communication medium and the cost of the communication terminal and the communication medium, and obtaining and outputting a wired and wireless hybrid avionic network scheme by the communication modes.
According to the above feature, the parameters related to the communication paths between the modules in the avionics system include the number of communication paths between the modules in the avionics system, the communication rate requirement of the communication paths, the communication delay requirement of the communication paths, the communication error rate requirement of the communication paths, and the communication distance of the communication paths.
According to the above feature, the parameter relating to each communication scheme in the avionic system includes a maximum communication rate of the communication scheme, a maximum communication delay of the communication scheme, a maximum error rate of the communication scheme, a weight of the communication scheme communication terminal, a weight of the communication scheme communication medium, a cost of the communication scheme communication terminal, and a cost of the communication scheme communication medium.
Preferably, step 3) specifically comprises the following steps:
i. carrying out performance balance analysis on communication paths among modules in the avionic system and communication modes in the avionic system one by one
If it is
The kth communication means meets the communication performance requirement of communication path i and the set of numbers of all communication means meeting the communication performance requirement of communication path i is denoted as PeCiThe sum of the number of communication modes in the set is expressed as Si(ii) a Wherein,
VMifor communication rate requirements of the ith communication path, DMiCommunication delay requirement for ith communication path, EMiVC for communication bit error rate requirement of ith communication pathkFor the maximum communication rate of the kth communication mode, DCkMaximum communication delay, EC, for the kth communication modekThe maximum bit error rate of the kth communication mode;
ii. passing through
The communication mode satisfying the performance-weight optimization on each communication path i is calculated and expressed as PWi(ii) a Wherein,
dMiWCT is the communication distance (in meters) of the ith communication pathkWeight of kth communication terminal, WCMkA weight per unit length (meter) of a communication medium of a kth communication scheme;
iii. by
Calculating the communication mode satisfying the optimal performance-cost on each communication path i, and expressing the communication mode as PCi(ii) a Wherein,
CCTkfor cost of kth communication mode communication terminal, CCMkCost per unit length (meter) for the kth communication scheme communication medium;
iv. mixing with
Wherein,
α communication weight coefficients, 1- α communication cost weight coefficients, and α∈ (0, 1), calculating the best communication satisfying the performance-weight-cost on each communication path i, and representing as PWCi；
v. generating a wireless optimized networking scheme, which is recorded as NA:
a) performance-weight optimal networking scheme
NAPW＝[PW1PW2… PWi]；
b) Performance-cost optimized networking scheme
NAPC＝[PC1PC2… PCi]；
c) Performance-cost-weight optimal networking scheme
NAPWC＝[PWC1PWC2… PWCi]。
The invention has the beneficial effects that:
the invention provides a network selection mechanism based on a balance analysis model aiming at a wireless communication mode selection process in the wireless networking research in the avionic network, provides powerful support for the wireless research in the avionic network, and fills the defects of the existing research. In the invention, networking analysis is carried out based on three dimensions of network performance, weight and cost of the avionic system in a balance analysis model, and compared with single-dimensional optimization analysis, the method has higher reference value and can more effectively support wireless research in the avionic network, thereby being beneficial to improving the reliability of the avionic network, reducing the weight of an airplane and maintaining the cost.
Drawings
Fig. 1 is a flowchart of an analysis method for wireless networking of an avionic network in an embodiment.
FIG. 2 is a flow chart of optimization analysis in an embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
A wireless networking analysis method for an avionic network comprises the following specific steps:
step 1) obtaining relevant parameters of communication paths among modules in the avionics system. Supposing that m effective communication paths exist among modules of the target avionic system, i is the number of the communication paths and is less than or equal to m, and relevant parameters of the communication paths among the modules in the avionic system comprise communication speed requirements VM of the ith communication pathiCommunication delay requirement DM of ith communication pathiCommunication bit error rate requirement EM of ith communication pathiCommunication distance dM of ith communication pathi(in meters).
And 2) acquiring relevant parameters of each available communication mode in the avionic system. The communication modes in the avionics system are assumed to be n, including 1553 bus communication, AFDX communication, optical fiber communication, Zigbee wireless network communication, UWB wireless communication and millimeter wave wireless communicationLetter, k is the number of the communication mode; relevant parameters of each communication mode in the avionics system comprise the maximum communication rate VC of the kth communication modekMaximum communication delay DC of kth communication modekMaximum bit error rate EC of the kth communication schemekWeight WCT of kth communication mode communication terminalkWeight per unit length (meter) WCM of kth communication mode communication mediumkCost CCT of communication terminal of kth communication modekCost CCM per unit length (meter) of communication medium of kth communication systemk；
And 3) carrying out selection optimization analysis on the communication modes of the communication paths in the step 1) in the available communication modes provided in the step 2) from the aspects of the communication performance of the communication network, the weight of the communication terminal and the communication medium and the cost of the communication terminal and the communication medium, and obtaining and outputting a wired and wireless hybrid avionic network scheme.
As shown in fig. 2, the optimization analysis process comprises the following specific steps:
i. performing avionics network communication performance tradeoff analysis
Carrying out performance balance analysis on communication paths among all modules in the avionic system and all communication modes in all avionic systems one by one, and carrying out performance balance analysis on the communication paths
By
If it is
The kth communication means meets the communication performance requirement of communication path i and the set of numbers of all communication means meeting the communication performance requirement of communication path i is denoted as PeCiThe sum of the number of communication modes in the set is expressed as Si；
Performing a performance-weight optimization model (min pw) solution
Pair set PeCiPerforming performance-weight optimal model solution on each communication path in the network, and performing performance-weight optimal model solution on each communication path
By
The communication mode satisfying the performance-weight optimization on each communication path i is calculated and expressed as PWiWherein min () can be implemented by existing computation methods;
performing a performance-cost optimization model (min pc) solution
Pair set PeCiThe performance-cost optimal model solution is carried out on each communication path in the network, and ∀ k ∈ PeC is obtainediFrom
Calculating the communication mode satisfying the optimal performance-cost on each communication path i, and expressing the communication mode as PCiWherein min () can be implemented by existing computation methods;
performing a performance-weight-cost optimization model (min pwc) solution
Pair set PeCiPerforming performance-weight-cost optimal model solution on each communication path in the network
By
α is communication mode weight coefficient, 1- α is communication mode cost weight coefficient, α∈ (0, 1), and the communication mode satisfying the optimal performance-weight-cost on each communication path i is calculated and expressed as PWCiWherein min () can be implemented by existing computation methods;
v. generating a wireless optimized networking scheme, denoted as NA
a) Performance-weight optimal networking scheme
NAPW＝[PW1PW2… PWi]
Wherein, NAPWFor a performance-weight optimal networking scheme, i is the number of the communication path;
b) performance-cost optimized networking scheme
NAPC＝[PC1PC2… PCi]
Wherein, NAPCFor a performance-cost optimal networking scheme, i is the number of the communication path;
c) performance-cost-weight optimal networking scheme
NAPWC＝[PWC1PWC2… PWCi]
Wherein, NAPWCFor a performance-weight-cost optimal networking scheme, i is the number of communication paths.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.
Claims (3)
1. A wireless networking analysis method for an avionic network comprises the following steps:
step 1) acquiring relevant parameters of communication paths among modules in an avionic system;
step 2) acquiring relevant parameters of all available communication modes in the avionic system;
step 3) from three aspects of communication performance of the communication network, weight of the communication terminal and the communication medium, and cost of the communication terminal and the communication medium, the communication path in step 1) is subjected to selection optimization analysis of the communication mode in the communication modes provided in step 2), and a wired and wireless hybrid avionic network scheme is obtained and output, and the method specifically comprises the following steps:
i. carrying out performance balance analysis on communication paths among modules in the avionic system and communication modes in the avionic system one by one, and carrying out performance balance analysis on the communication paths
By
If it is
The kth communication means meets the communication performance requirement of communication path i and the set of numbers of all communication means meeting the communication performance requirement of communication path i is denoted as PeCiThe sum of the number of communication modes in the set is expressed as Si(ii) a Wherein VMiFor communication rate requirements of the ith communication path, DMiCommunication delay requirement for ith communication path, EMiVC for communication bit error rate requirement of ith communication pathkFor the maximum communication rate of the kth communication mode, DCkMaximum communication delay, EC, for the kth communication modekThe maximum bit error rate of the kth communication mode;
ii. passing through
The communication mode satisfying the performance-weight optimization on each communication path i is calculated and expressed as PWi(ii) a Wherein,
dMiWCT is the communication distance (in meters) of the ith communication pathkWeight of kth communication terminal, WCMkA weight per unit length (meter) of a communication medium of a kth communication scheme;
iii. by
Calculating the communication mode satisfying the optimal performance-cost on each communication path i, and expressing the communication mode as PCi(ii) a Wherein,
CCTkfor cost of kth communication mode communication terminal, CCMkCost per unit length (meter) for the kth communication scheme communication medium;
iv. mixing with
Wherein,
α communication weight coefficients, 1- α communication cost weight coefficients, and α∈ (0, 1), calculating the best communication satisfying the performance-weight-cost on each communication path i, and representing as PWCi；
v. generating a wireless optimized networking scheme, which is recorded as NA:
a) performance-weight optimal networking scheme
NAPW＝[PW1PW2…PWi]；
b) Performance-cost optimized networking scheme
NAPC＝[PC1PC2…PCi]；
c) Performance-cost-weight optimal networking scheme
NAPWC＝[PWC1PWC2…PWCi]。
2. The method of claim 1, wherein the parameters related to the communication paths between modules in the avionics system include the number of communication paths between modules in the avionics system, the communication rate requirement of the communication paths, the communication delay requirement of the communication paths, the communication error rate requirement of the communication paths, and the communication distances of the communication paths.
3. The method according to claim 1, wherein the parameters related to each communication method in the avionics system include a maximum communication rate of the communication method, a maximum communication delay of the communication method, a maximum bit error rate of the communication method, a weight of a communication terminal of the communication method, a weight per unit length of a communication medium of the communication method, a cost of the communication terminal of the communication method, and a cost per unit length of the communication medium of the communication method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710257686.6A CN107371177B (en) | 2017-04-19 | 2017-04-19 | Avionics network wireless networking analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710257686.6A CN107371177B (en) | 2017-04-19 | 2017-04-19 | Avionics network wireless networking analysis method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107371177A CN107371177A (en) | 2017-11-21 |
| CN107371177B true CN107371177B (en) | 2020-07-31 |
Family
ID=60303675
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710257686.6A Active CN107371177B (en) | 2017-04-19 | 2017-04-19 | Avionics network wireless networking analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107371177B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108684064B (en) * | 2018-04-18 | 2021-03-26 | 全球能源互联网研究院有限公司 | Networking method and device fusing multiple communication modes |
| CN108718281B (en) * | 2018-04-18 | 2021-04-13 | 全球能源互联网研究院有限公司 | Node access method and device fusing multiple communication modes |
| CN116169788B (en) * | 2023-02-23 | 2023-09-12 | 天津大学 | Distribution network communication management system based on Internet of Things |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103052051A (en) * | 2012-12-28 | 2013-04-17 | 成都泰格微电子研究所有限责任公司 | Wireless self-organizing communication system and communication method thereof |
| WO2014210215A1 (en) * | 2013-06-25 | 2014-12-31 | Fedex Corporation | Transport communication management |
| CN104270169A (en) * | 2014-10-21 | 2015-01-07 | 中国航空无线电电子研究所 | Multi-channel self-adaptation frequency-hopping processing method and system suitable for aeronautical ad-hoc network |
| CN104618959A (en) * | 2014-12-19 | 2015-05-13 | 中国航空无线电电子研究所 | Method and system for achieving aeronautical network MAC (multiple access control) protocols |
| CN105188105A (en) * | 2015-08-14 | 2015-12-23 | 广州维德科技有限公司 | Same-frequency relay emergency system and network communication path selection method thereof |
-
2017
- 2017-04-19 CN CN201710257686.6A patent/CN107371177B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103052051A (en) * | 2012-12-28 | 2013-04-17 | 成都泰格微电子研究所有限责任公司 | Wireless self-organizing communication system and communication method thereof |
| WO2014210215A1 (en) * | 2013-06-25 | 2014-12-31 | Fedex Corporation | Transport communication management |
| CN104270169A (en) * | 2014-10-21 | 2015-01-07 | 中国航空无线电电子研究所 | Multi-channel self-adaptation frequency-hopping processing method and system suitable for aeronautical ad-hoc network |
| CN104618959A (en) * | 2014-12-19 | 2015-05-13 | 中国航空无线电电子研究所 | Method and system for achieving aeronautical network MAC (multiple access control) protocols |
| CN105188105A (en) * | 2015-08-14 | 2015-12-23 | 广州维德科技有限公司 | Same-frequency relay emergency system and network communication path selection method thereof |
Non-Patent Citations (1)
| Title |
|---|
| AADL2ECPN模型转换方法及其在IMA上的应用;刘畅 等;《北京航空航天大学学报》;20160930;第42卷(第9期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107371177A (en) | 2017-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109067490B (en) | Resource allocation method for multi-unmanned aerial vehicle cooperative mobile edge computing system under cellular network connection | |
| CN107371177B (en) | Avionics network wireless networking analysis method | |
| CN109286913B (en) | Energy consumption optimization method of unmanned aerial vehicle mobile edge computing system based on cellular network connection | |
| CN110417456B (en) | Information transmission method based on unmanned aerial vehicle | |
| CN110300417B (en) | Energy efficiency optimization method and device for unmanned aerial vehicle communication network | |
| CN109743087B (en) | Distributed antenna transmission mode selection and power optimization method in high-speed rail scene | |
| CN112040498B (en) | Fixed point iteration-based wireless energy supply sensor network time allocation method | |
| Lin et al. | GREEN: A global energy efficiency maximization strategy for multi-UAV enabled communication systems | |
| Polshchykov et al. | Justification for the decision on loading channels of the network of geoecological monitoring of resources of the agroindustrial complex | |
| CN109544000A (en) | Airline towards View of Flight On-time Performance arranges an order according to class and grade plan optimization method and system | |
| CN108449737B (en) | D2D-based downlink energy-efficient power distribution method in distributed antenna system | |
| Zhang et al. | AoI-energy tradeoff for data collection in UAV-assisted wireless networks | |
| Qi et al. | Energy‐efficient full‐duplex UAV relaying networks: Trajectory design for channel‐model‐free scenarios | |
| CN105722203B (en) | Extensive high energy efficiency power distribution method of the antenna system based on particle swarm algorithm | |
| Yuan et al. | Joint Multi-Ground-User Edge Caching Resource Allocation for Cache-Enabled High-Low-Altitude-Platforms Integrated Network | |
| CN111741483A (en) | Interrupt probability performance prediction method for mobile communication system | |
| CN116436984A (en) | Edge-end cooperative distributed energy regulation and control method and system for time synchronization error perception | |
| CN206820765U (en) | A kind of terminal communication access net communication resource model framework | |
| CN112202845B (en) | Distribution electricity service oriented edge computing gateway load system, analysis method and distribution system thereof | |
| CN116256970A (en) | Data-driven cloud edge cooperative control method and system based on disturbance observer | |
| CN115021399A (en) | Topology identification method and device adaptive to park multi-energy power supply network | |
| Huang et al. | Particle filter based optimization scheme for trajectory design and resource allocation of UAV-enabled WPCN system | |
| CN101183259B (en) | Coordinated control system of multiple control appliance in electrical power system and control method thereof | |
| He et al. | Network topology generation based on eigenvector centrality with real‐time guarantee | |
| Tang et al. | Heterogeneous UAVs assisted mobile edge computing for energy consumption minimization of the edge side |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |