In modern football matches, the thermal radiation image can capture the thermal radiation information of the human body surface, so as to reflect the body temperature distribution and heat stress of the players. The purpose of this study is to explore the application of thermal radiation image based on image vision in football game simulation, and to analyze the dynamic thermal effect of athletes during the game. In the simulated football match environment, a high resolution thermal imaging camera is used to acquire real-time thermal radiation images of athletes. The acquired thermal radiation images are preprocessed to ensure that the image quality meets the analysis requirements.: Image processing software is used to analyze the thermal radiation images of athletes in different exercise stages, extract key thermal effect parameters and combine the physiological data of athletes (such as heart rate, body temperature, etc.) to establish a dynamic thermal effect analysis model. The model can simulate the change of athletes' thermal state during competition and predict the heat stress response. The accuracy and reliability of the model are verified by comparing with the actual competition data, and the model is optimized according to the feedback. The results show that the thermal radiation image can effectively capture the change of thermal state of athletes in the simulation of football match. Through dynamic thermal effect analysis, the heat spot distribution and heat radiation intensity of athletes increased significantly during high-intensity exercise, such as sprint and shooting, indicating that the level of heat stress of athletes increased. The dynamic thermal effect analysis model can accurately predict the heat stress response of athletes in competition, which provides valuable reference information for coaches and sports medicine experts.
