基于人体热感觉穿戴传感的室内温度优化调控方法研究*
Optimization control method of indoor temperature based on wearable sensing of human thermal sensation
摘要：
针对现有空调末端设备的运行调控方法与用户实际热感觉脱节的问题，提出了基于人体热感觉穿戴传感的室内温度优化调控方法，该方法的核心思想是通过智能穿戴设备监测用户生理参数并预测实时热感觉，然后将热感觉添加到室内环境控制回路中优化室内温度设定值。为研究该方法的可行性和有效性，通过试验对比研究了夏季工况下采用基于人体热感觉穿戴传感的控制方法和基于温度设定值的控制方法时空调系统的运行情况，并从控制效果、用户满意度及空调能耗等方面进行了对比分析。结果显示，采用基于人体热感觉穿戴传感的控制方法时，室内热环境控制稳定性好，用户对室内热环境的满意度高，采用该方法比采用基于设定值的控制方法可减少约13.8%的空调系统日耗电量。
Abstract：
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.
Keywords:wearablesensing,humanthermalsensation,indoortemperature,optimizationcontrol,thermalcomfort,airconditioningsystem,energysaving