严寒气候区高校教室空间温度场评价研究

Temperature Field Evaluation of Classroom on Campus in Cold Climate Region

科学有效地评价非均匀热环境,是热环境研究的重要议题。依据严寒气候区高校教室空间与热环境的实地调研数据,结合教室内部温度变化的FLUENT模拟结果,从时间与空间差异两方面讨论该类空间的温度变化规律;在此基础上利用灰色系统算法与神经网络算法对教室空间温度场相关数据进行相关性和分类处理,形成适宜于该气候区教室空间的非均匀热环境评价系统。

Scientific and effective evaluation of heterogeneous thermal environment is an important issue in thermal environment research.Based on the field investigation data of classroom space and thermal environment in colleges and universities in cold climate area,the temperature change law is discussed for this kind of space from two aspects,including the time and the space difference by combining the simulation results of FLUENT of internal temperature change in the classroom.On this basis,G rey System Algorithm and Neural Network Algorithm were used to conduct correlation and classification processing of relevant data of classroom space temperature field to form a heterogeneous thermal environment evaluation system which is suitable for classroom space in this climate area.