Abstract: Disclosed is a human body health assessment method and assessment system based on sleep big data. The method and the system acquire biometric data of a human body in a long-term, stable, and ever-increasing manner, and clearly and definitely describe the physical conditions of a human being and predict future health thereof using advanced data mining technology. The method comprises: acquiring, by a sensor mounted on a bed, various physiological data of a human body during sleep and storing the same to a cloud server; and obtaining a physiological evaluation index using an artificial intelligence learning model and generating a health status analysis report of the human body. By acquiring the data of the sensor mounted on the bed, data training of the artificial intelligence learning model is performed, to allow the model to automatically learn features related to the health of the human body.