A
flight training quality and efficiency evaluation method fusing physiological data and flight parameter data comprises the following steps: firstly, collecting physiological data and psychological state data in a
flight process of a
pilot, and then constructing a psychological
state prediction model by using the collected physiological data and psychological state data based on an SVM (
Support Vector Machine) method; the psychological state of the
pilot in the
flight process is analyzed through the psychological
state prediction model, and meanwhile, the flight parameter data in the
flight process is combined to quantify the analysis result, so that comprehensive evaluation of the
flight training quality and efficiency of the
pilot is achieved. The psychological
state prediction model is constructed based on the SVM method so as to analyze the physiological data of the pilot, the psychological state of the pilot is comprehensively and accurately analyzed, meanwhile,
flight training is evaluated from multiple angles in combination with a flight parameter quantitative analysis result,
scientific method support is provided for
pilot training quality and efficiency evaluation, and the
pilot training quality and efficiency evaluation efficiency is improved. The method provides support for rapid training and efficient flight training of pilots, and provides a basis for
aviation colleges to optimize a scientific training scheme.