Data flow-based deterministic network integrity fault detection method

Abstract

The invention relates to a data flow-based deterministic network integrity fault detection method. The method includes the steps of: according to a topological structure of a whole deterministic network, establishing a data flow-based triad model; by determining a priority relation of data integrity, source integrity, order integrity and time integrity, analyzing granularity required by a user, and aiming at hardware faults, logic faults and configuration information faults, making a fault mode analysis; on this basis, performing fault tree analysis, proposing a measurable and computational bottom event probability acquisition method, and performing qualitative and quantitative calculation; and finally completing fault detection. Aiming at the problem that a conventional fault detection method serial-parallel model cannot complete fault positioning in practical engineering, the problems of deterministic network data accuracy and integrity fault detection are solved. A method having engineering value is provided for integrity research of deterministic networks such as an aviation airborne network, an industrial control network and a military communication network.

Description

technical field [0001] The invention belongs to the technical field of network reliability and network fault diagnosis, and specifically relates to a deterministic network fault detection method, which adopts a fault location method based on data transmission flow. Background technique [0002] Deterministic networks are used in fields with specific applications such as industrial control, aviation airborne networks, and military communications. Through deterministic network topology and protocol configuration, data transmission with definite flow direction is completed to achieve the purpose of data and resource interconnection. However, with the maturity of the network technology used, the scale of network data, and the continuous improvement of the comprehensiveness of deterministic networks, the demand for information transmission is further widened and diversified. For example, the new application functions of large aircraft (such as large-screen display, digital map, a...

AI Technical Summary

Problems solved by technology

From the perspective of fault detection methods, on the one hand, although there are integrity management technologies for network equipment, there is a lack of effective technical means to manage the integrity of "network" as a product and an overall system alone; on the other hand, , the current traditional reliability analysis methods based on graph theory mainly include: reliability block diagram, fault tree analysis method and state transition chain method, these methods have a certain effect on the integrity analysis of a single device, but for the integrity analysis It cannot be carried out effectively, and when using the traditional graph theory analysis method for fault detection, it is necessary to assume that each device is independent of each other, but this assumption obviously cannot be established in the network. For example, if a switch fails and chooses another path, it may lead to relative On the other hand, due to the high reliability and integrity requirements of deterministic networks for interconnection, the operation of network interconnection requires close coordination and cooperation of hardware, software, and logic. The fault mechanism of the latter is completely different, which makes the current popular network calculus method and other reliability quantitative analysis calculation methods unable to solve the problem of the integrity of the entire network;

[0004] Therefore, for the problem of fault detection of the integrity of the deterministic network, the existing methods cannot effectively detect the fault of the integrity of the deterministic network, and an engineering-operable fault detection method is urgently needed

[0005] After searching, do not find the method report completely identical with the inventive concept

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