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A Method of Optimizing the Path of AFDX Network Considering Risk Balance

A technology of risk balance and network path, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of affecting the safety of the whole machine, risk concentration, and less attention to physical link risk issues, etc.

Active Publication Date: 2019-05-31
CIVIL AVIATION UNIV OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The airborne network is called the nervous system of the aircraft. As an information exchange channel for airborne equipment, it is directly related to the flight safety of the aircraft. However, the existing AFDX technology mainly focuses on issues such as link bandwidth allocation, real-time performance, and reliability. However, less attention has been paid to the risk of each physical link, so that there will be a situation where a single physical link carries multiple VLs that have a significant impact on aircraft safety, resulting in risk concentration, which affects the safety of the entire aircraft

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  • A Method of Optimizing the Path of AFDX Network Considering Risk Balance
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  • A Method of Optimizing the Path of AFDX Network Considering Risk Balance

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Embodiment 1

[0127] This embodiment is simulated based on the platform of Matlab (version number 8.2), which is an advanced technical computing language and an interactive environment for algorithm development, data visualization, data analysis and numerical calculation.

[0128] Figure 4 For the AFDX network topology diagram of the present embodiment, 20 end systems are included in the figure, i.e. m=20, EndSys={ES in this network 1 , ES 2 , ES 3 ...ES 20}, 6 switches, namely n=6, SWITCH={S in this network 1 , S 2 , S 3 , S 4 , S 5 , S 6}, 30 physical links, 7 VLs have been configured. Table 1 shows the number of failure states of various levels of avionics equipment connected to each end system.

[0129] Table 1: Number of failure states at all levels of the end system in Embodiment 1

[0130] end system

Number of Class I Failure States

Number of Class II Failure States

Number of Class III failure states

ES 1

0

4

5

ES 2

1

...

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Abstract

A method for AFDX network path optimization considering risk balance. It includes calculating the risk degree of the end system in the AFDX network; calculating the risk degree of each VL according to the risk degree of the end system; calculating the risk degree of the physical link according to the risk degree of all VLs carried by each physical link; Calculate the standard deviation of the risk degree of the link; construct the effective physical link set of each VL; according to the standard deviation of the risk degree obtained in step 4 and the effective physical link set of VL obtained in step 5, the particle swarm optimization algorithm is used for the above effective Perform steps such as risk balancing on physical links. Advantages of the present invention: the risk balance problem is considered in the path optimization process of the AFDX network, the situation that a single physical link carries multiple VLs that have a significant impact on the safety of the aircraft is reduced, and the safety of the aircraft is improved; the particle swarm algorithm is introduced into In the path optimization process, it is beneficial to find the optimal path that satisfies the risk balance condition, so that the standard deviation of risk between physical links is reduced.

Description

technical field [0001] The invention belongs to the technical field of avionics system network optimization design, in particular to an AFDX network path optimization method considering risk balance. Background technique [0002] Avionics Full Duplex Switched Ethernet (AFDX) is a network protocol standard defined by ARINC 664Part7 for the interconnection between avionics subsystems. The AFDX network is developed on the basis of a mature commercial network protocol - IEEE802.3 Ethernet. Compared with previous avionics networks, such as ARINC429, MIL-STD-1553B, etc., it has inherently high bandwidth and good scalability advantages, but also has the characteristics of good determinism and high real-time performance. [0003] "Design and real-time performance analysis of time-triggered AFDX network" published in "Journal of Beijing University of Aeronautics and Astronautics" in June 2013, Volume 39, Issue 6, discloses a method such as figure 1 As shown in the traditional AFDX ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/721H04L12/751H04L12/931H04L45/02
CPCH04L45/02H04L45/123H04L49/70
Inventor 王鹏阎芳赵长啸
Owner CIVIL AVIATION UNIV OF CHINA
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