Optimization control method of indoor temperature based on wearable sensing of human thermal sensation

Aiming at the problem that the control method of the terminal equipment of existing air conditioning is out of line with the actual thermal sensation of users, proposes an optimization control method of indoor temperature based on wearable sensing of human thermal sensation. The core idea of this method is to monitor users physiological parameters and predict real-time thermal sensation through smart wearable devices, and then add thermal sensation to indoor environment control loop to optimize indoor temperature set point. In order to study the feasibility and effectiveness of this method, carries out several experiments to compare the operation of air conditioning system with this method and the control method based on temperature set point in summer. Compares and analyses the control effect, user satisfaction and air conditioning energy consumption. The results show the excellent indoor thermal environment control stability and the high users satisfaction with indoor thermal environment under the thermal sensation-based control. The thermal sensation-based control method can reduce the daily power consumption by about 13.8% compared with the set point-based control method.