The invention discloses an intelligent
temperature control mattress
system based on multi-mode sensing and
adaptive learning, and the
system comprises a data collection module which is used for collecting a mattress surface vibration
signal, a mattress surface temperature and a mattress surrounding environment parameter; the
data analysis module is used for performing deep analysis on the time-
frequency domain features according to a biological recognition model to obtain
human body or non-
human body classification, performing self-learning to obtain
body movement changes, accurately recognizing various typical sleeping postures and filtering out error data; and the
model prediction module is used for monitoring the physiological parameters of the user according to the
spectral analysis, inputting the physiological parameters, the collected temperature and the parameters of the surrounding environment of the mattress into a
temperature control model composed of three neural networks of LSTM, GNN and Transform for comprehensive analysis and
decision making, and outputting an optimal
temperature control strategy. According to
heart rate changes or body heat fluctuations, the sleep stage and the sleep and waking time are intelligently recognized, and therefore sleep environment adjustment better conforming to the
human body rhythm is achieved.