摘要
为研究动态热环境下人体心理反应预测,基于模糊集理论及人与周围热环境瞬时热量传递的合理分析,提出一种动态热环境中人体热感觉模糊综合评判的方法。在本质上,人体外表面同周围环境之间换热热流通量的变化决定了人体在热环境中热感觉值的变化规律。该方法选取换热热流通量变化值作为特征变量,因而降低了求解问题的复杂度。数值模拟算法采用分层递阶模块式结构、基于知识的推理系统和模糊信息并行处理,具有结构简单、易修改扩充、计算速度快和占用存储空间少等优点。将模拟结果同微气候环境室的实验数据相比较,验证了算法的有效性。
In order to predict human psychological response in dynamic thermal environment, a generalized methodology is put forth for fuzzy comprehensive evaluation of thermal sensation in thermal transients based on the fuzzy set theory and rational analysis of transient heat transfer between the human body and the ambient environment. In nature, the change of heat exchange flux through the external surface determines the change of human thermal sensation in thermal transients. The method takes advantage of this response mechanism and selects the change of heat flux as the feature variable, which alleviates the complexity of the problem solving. The properties of hierarchical modular architecture, knowledge based inference system and parallel fuzzy information processing make the simulation algorithm advantages in its simple structure, flexibility, and less computational time and storage requirement. Numerical results are compared with the available experimental results, verifying the effectiveness of the algorithm.
出处
《清华大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
1998年第5期23-27,共5页
Journal of Tsinghua University(Science and Technology)
基金
国家自然科学基金
关键词
动态热环境
空调房间
人体
热感觉
模糊综合评判
dynamic thermal environment
hierarchical reasoning
feature space
fuzzy information processing