摘要
为研究移动机器人搭载的智能空调在空调环境中的热舒适性调节性能,本文主要对一种可移动的智能空调装置在空调房间中的应用进行研究。阐述了移动空调系统工作原理,建立了空调房间数学模型,并对基础温度场、速度场及个性化热舒适调节进行数值模拟假设。同时,在基础场工况下,对基础温度场及速度场、不同位置智能空调对基础场的影响和个性化热舒适性等进行模拟分析。分析结果表明,移动智能空调在巡航状态下,对环境温度场和速度场干扰较小,对基础场进行均匀化调节时,夏季和冬季温度和风速采集数据的极差、平均差和标准差均有所降低,说明采集点温度和速度数据离散程度变小,温度场和速度场的不均匀性得到改善,而极差的减小,说明不同位置热环境的最大差异有效减小,对空调房间温度场和速度场的不均匀性均具有一定的改善能力,可以对空调环境内的热舒适性差异进行调节和修正,并且可在一定程度上满足个性化的热舒适性需求。该研究具有一定的创新性和实际应用价值。
In order to study the thermal comfort regulation performance of the intelligent air conditioner carried by the mobile robot in the air-conditioned environment, this paper mainly studies the application of a mobile intelligent air conditioner in the air-conditioned room. The working principle of the mobile air-conditioning system is expounded, the mathematical model of the air-conditioned room is established, and the numerical simulation assumptions are made for the basic temperature field, velocity field and individual thermal comfort adjustment. At the same time, under the condition of the basic field, the basic temperature field and velocity field, the influence of intelligent air conditioners in different positions on the basic field, and the personalized thermal comfort are simulated and analyzed. The analysis results show that the mobile intelligent air conditioner has little interference to the ambient temperature field and velocity field in the cruising state. The decrease indicates that the discrete degree of temperature and velocity data at the collection point has become smaller, and the unevenness of the temperature field and velocity field has been improved. The mobile air conditioning has the ability to improve the unevenness of both the temperature and velocity fields in the air-conditioned room, to regulate and correct the thermal comfort differences within the air-conditioned environment, and to meet individualized thermal comfort needs to a certain extent. The research has certain innovation and practical application value.
作者
侯本志
郑艺华
李铭馨
邢璐艺
HOU Benzhi;ZHENG Yihua;LI Mingxin;XING Luyi(College of Mechanical and Electrical Engineering,Qingdao University,Qingdao 26607l,China)
出处
《青岛大学学报(工程技术版)》
CAS
2022年第3期74-82,共9页
Journal of Qingdao University(Engineering & Technology Edition)
基金
山东省自然科学基金资助项目(ZR2014EEM004)。
关键词
智能空调
数值模拟
温度场
速度场
热舒适性
intelligent air conditioning
numerical simulation
temperature field
velocity field
thermal comfort