This invention provides a digital twin-based
system and method for predicting the risk of cerebrovascular diseases in high-altitude environments, belonging to the field of cerebrovascular
disease risk
simulation and prediction technology. The
system includes: an equipment control module, an
oxygen control module, and an
oxygen-pressure
coupling control module. First, the
oxygen concentration monitoring strategy of the
oxygen regulation equipment is dynamically optimized based on concentration accuracy parameters and environmental
impact parameters. Then, gas regulation dynamic factors are monitored in real time, and the equipment control strategy of the
oxygen regulation equipment is dynamically adjusted based on these factors and concentration accuracy assessment values. Finally, the
wind speed is dynamically adjusted according to the monitored gas injection status parameters,
oxygen regulation is triggered based on oxygen
equilibrium time and
pressure equilibrium time, and cerebrovascular
disease risk is predicted based on the adjusted oxygen regulation equipment and the
hypobaric chamber. The high-fidelity high-altitude environment
simulation based on digital twins significantly improves the accuracy of the cerebrovascular
disease risk prediction model.