Strong optical link reliability coupling method, system, device and storage medium

By using reliability parameter mapping and fault propagation simulation based on the MBSE digital model, the problem of insufficient reliability assessment in the design phase of high-power optical link systems was solved, enabling early risk prediction and design optimization, and improving system reliability and R&D efficiency.

CN121966699BActive Publication Date: 2026-07-14NAVAL UNIV OF ENG PLA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NAVAL UNIV OF ENG PLA
Filing Date
2026-04-02
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing technologies cannot perform accurate dynamic reliability assessments and early risk predictions during the design phase of high-power optical link systems. This results in a large discrepancy between the assessment results and the actual operating status. High-risk aspects are often only discovered during prototype testing or actual operation, which seriously affects R&D efficiency.

Method used

The system adopts a model-based systems engineering (MBSE) digital model to obtain the reliability parameter mapping of each component of the system, dynamically calculates the fault-free operating time (MTBF), generates a reliability assessment through fault propagation simulation, and performs dynamic correction by combining multiphysics simulation and real-time monitoring data.

Benefits of technology

This has enabled a shift from static to dynamic approaches and from experience-based to model-driven models, improving the design reliability and R&D efficiency of high-power optical link systems. It also allows for early identification of risks and optimization of designs, thereby enhancing the accuracy of assessments.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a strong light link reliability coupling method, system, device and storage medium, relates to the technical field of reliability engineering, and comprises the following steps: acquiring reliability parameter mapping of each component of a system based on a model-based system engineering (MBSE) digital model of a pre-constructed strong light link system; dynamically calculating mean time between failures (MTBF) of the strong light link system according to the reliability parameter mapping; performing fault propagation simulation according to the MBSE digital model and a pre-defined fault mode library; and generating reliability evaluation of the strong light link system according to the MTBF and the fault propagation simulation result. Based on parameter mapping and dynamic coupling calculation of the MBSE model, the application can integrate multi-physical field simulation, such as thermal, electrical and other data or measured data, dynamically correct working condition parameters, and realize dynamic, accurate and systematic analysis of reliability evaluation.
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