The present application provides a method and a
system for monitoring the fuel level of an aircraft
fuel tank. The method for monitoring the fuel level of an aircraft
fuel tank provided by the present application is applied to a fuel level
monitoring system. The method collects a liquid level image through a
vision sensor, and at the same time fuses the real-time vibration
signal and two-dimensional inclination information of the
fuel tank to be measured. Then, based on a pre-trained fuel level prediction model, adaptive
feature extraction and fusion are performed on the collected liquid level photo, real-time vibration
signal, and two-dimensional inclination information to more comprehensively capture the state changes of the fuel tank to be measured, and finally, real-time measurement of the remaining fuel level of the fuel tank to be measured under vibration interference and non-
steady flight conditions is realized, which can effectively achieve high-precision measurement of the remaining fuel level of the fuel tank to be measured in a flight
jitter state. In addition, multi-
information fusion can also provide the anti-interference ability of the model, enabling it to adapt to different flight postures and working conditions, improving adaptability, having strong robustness, and ensuring the accuracy of real-time prediction.