Multi-strategy industrial TSN shaper modeling method based on deterministic network calculation

Abstract

The invention relates to a multi-strategy industrial TSN shaper modeling method based on deterministic network calculation, and the method comprises the following steps: initializing a network, and determining an end-to-end physical path of a data flow; determining an industrial flow type; determining an arrival curve of the flow according to accumulated arrival of different industrial flows; determining an equivalent service curve obtained by the flow according to the accumulated departure of different industrial flows; and obtaining an end-to-end time delay upper bound according to the function relationship between the arrival curve and the equivalent service curve. Aiming at the flow delay problem of mixed transmission of different industrial flows in a TSN network architecture, the influence of flow characteristics and a shaping scheduling algorithm is integrated, multi-data concurrent interference is considered, an industrial TSN shaper is modeled by using deterministic network calculation, and time delay upper bounds of different industrial flows are obtained through analysis. The time delay upper bound can provide theoretical guidance for stable operation of a real network system, and network resource waste is avoided.

Description

technical field [0001] The invention provides a multi-strategy industrial TSN shaper modeling method based on deterministic network calculus, in particular relates to the upper bound analysis of end-to-end time delay of industrial traffic, and belongs to the technical field of industrial control network. Background technique [0002] With the development of Industry 4.0, more and more distributed intelligent devices are interconnected, and heterogeneous industrial control networks such as fieldbus and industrial Ethernet are used to communicate between devices, which leads to a sharp increase in heterogeneous traffic in the network. The network resources and service quality required by traffic are different, and they will compete for network resources and interfere with transmission. At the same time, the difficulty of interoperability between heterogeneous networks will also cause delays in data cross-protocol conversion. In general, the existing industrial control network ...

AI Technical Summary

Problems solved by technology

The simulation method uses simulation software to simulate a series of real network scenarios to obtain the end-to-end delay. The simulation delay result is an average value, and it is difficult to predict the end-to-end delay under the worst network load condition.

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