Space solid rocket engine explosion risk dynamic assessment and early warning method based on internet of things and digital twinning

By using IoT sensors and digital twin technology, multiphysics field data of aerospace solid rocket motors are collected and simulated in real time. Combined with pre-trained models, risk assessment is performed, which solves the problem of insufficient risk identification in traditional methods and achieves accurate risk warning and decision support.

CN121457308BActive Publication Date: 2026-07-03XI AN JIAOTONG UNIV
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Filing Date
2025-11-06
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Traditional methods lack dynamic risk assessment capabilities in the health monitoring of aerospace solid rocket motors, cannot fully capture multi-physics field data, and the simulation results cannot be synchronized with the real-time status, resulting in the inability to effectively identify and warn of potential explosion risks.

Method used

By deploying an IoT sensor network to collect multiphysics data in real time, a digital twin that is synchronously mapped with the physical engine is constructed to perform multiphysics simulation. A pre-trained explosion risk assessment model is then used for binary classification assessment and early warning to locate risk points.

Benefits of technology

It enables dynamic visualization of the engine's internal state, improves the accuracy and efficiency of risk identification, provides precise risk decision support, and constructs a dynamic safety protection system covering the entire process.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121457308B_ABST
    Figure CN121457308B_ABST
Patent Text Reader

Abstract

This invention provides a dynamic assessment and early warning method for explosion risks of aerospace solid rocket motors based on the Internet of Things (IoT) and digital twins. It relates to the fields of IoT and digital twins, and includes: real-time acquisition of multiphysics field data during engine operation via an IoT sensor network deployed at key parts of the aerospace solid rocket motor; construction and real-time updating of a digital twin synchronously mapped to the physical engine based on the acquired multiphysics field data; execution of multiphysics field simulation within the digital twin to obtain simulation results reflecting the internal state of the engine; inputting the obtained simulation results into a pre-trained explosion risk assessment model to obtain a binary classification assessment result regarding the risk of internal crack propagation and combustion-to-explosion; and automatically triggering an early warning when the obtained binary classification assessment result indicates a risk and locating the risk point in the digital twin based on the simulation results. This invention constructs a dynamic safety protection system covering the entire process of perception, analysis, and decision-making.
Need to check novelty before this filing date? Find Prior Art