  This text highlights the significance of flight safety in China's civil
aviation industry and emphasizes the need for comprehensive research. It
focuses on two main areas: analyzing exceedance events and statistically
evaluating non-exceedance data. The challenges of current approaches lie in
insufficient cause analysis for exceedances. The proposed solutions involve
data preprocessing, reliability assessment, quantifying flight control using
neural networks, exploratory data analysis, flight personnel skill evaluation
with machine learning, and establishing real-time automated warnings. These
endeavors aim to enhance flight safety, personnel assessment, and warning
mechanisms, contributing to a safer and more efficient civil aviation sector.
