改善室内环境舒适度的一种新型控制方法

A new control method to improve the comfort of indoor environment

摘要:

室内环境舒适度直接影响着在室人员的健康和工作效率,需要进行有效的控制以保证其舒适性。论文以某办公室为研究对象,提出一种基于同策蒙特卡罗自适应控制方法对建筑物内空调系统、加湿器、除湿器、照明系统和通风系统等设备优化控制,调节室内温湿度、照度和CO₂浓度提高室内舒适感。建立了有关影响室内环境舒适度的因素的状态变化的数学模型,并利用实验数据验证模型,同时与PID和模糊控制算法进行了仿真对比分析。结果表明：在同时控制影响室内环境的多个因素时,同策蒙特卡罗控制方法能够较好的跟踪实际情况,且该方法稳态误差较小,收敛速度较快。

Abstract:

Indoor environment comfort directly affects the health and work efficiency of staff in the room. Effective control is needed to ensure its comfort. Taking a certain office as the research object, this paper proposes a Monte Carlo adaptive control method based on the policy to optimize the control of air conditioning system, humidifier, dehumidifier, lighting system and ventilation system in the building and adjust the indoor temperature and humidity, illumination and CO2 concentration to improve indoor comfort. The mathematic model of the change of the factors affecting the comfort of the indoor environment is set up, and the model is validated by the experimental data. At the same time, the simulation and comparison with the PID and fuzzy control algorithms are carried out. The results show that the On-policy Monte Carlo control method can track the actual situation better while controlling a number of factors that affect the indoor environment at the same time. The steady-state error of this method is small and the convergence speed is fast.