起飞阶段是飞行任务成败的关键，而恰当的爬升高度则能确保起飞成功。为了预测和评估爬升高度异常现象，探究导致爬升高度异常的关键预测参数。研究基于虚拟现实（virtual reality, VR）飞行模拟器，聚焦塞斯纳（Cessna152）机型的起飞阶段，招募31名参试者参加模拟飞行任务实验，采集180个新手飞行的有效数据样本。以模拟器的快速存取记录器（quick access recorder, QAR）数据为基础，通过聚类和相关性分析得到影响爬升高度异常的关键QAR参数，进而采用回归分析探寻这些关键参数与爬升高度异常的关系。结果表明：平均飞行速度和最大仰角是影响飞行高度的主要QAR参数，且两者共同解释了爬升导致高度异常的70.2%。

The take-off phase is crucial for the success or failure of a flight mission, with appropriate climb altitudes being essential to ensure successful take-off. In order to predict and assess abnormal phenomena in climb altitudes, the key predictive parameters were investigated that led to abnormal climb altitudes. The research was based on a virtual reality (VR) flight simulator, focusing on the take-off phase of the Cessna152 aircraft. Thirty-one participants were recruited to engage in simulated flight tasks, resulting in the collection of 180 effective data samples from novice flights. Based on the simulator's quick access recorder(QAR) data, key QAR parameters that affect abnormal climb altitudes were identified through clustering and correlation analysis. Subsequently, regression analysis was employed to explore the relationship between these key parameters and the abnormality in climb altitudes. The findings indicate that the average flight speed and maximum pitch angle are the primary QAR parameters influencing flight altitude, jointly accounting for 70.2% of the abnormality in climb altitudes.