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工位空调热舒适指标PMV人工神经网络模型研究
引用本文:王萌,魏彩欣,吴佐莲,刘小春,刘惠,黄冠豪.工位空调热舒适指标PMV人工神经网络模型研究[J].制冷与空调(四川),2011(5):443-448.
作者姓名:王萌  魏彩欣  吴佐莲  刘小春  刘惠  黄冠豪
作者单位:山东农业大学水利土木工程学院;河北省建筑科学研究院;
摘    要:建立了预测工位空调微环境热舒适指标PMV的人工神经网络模型。模型的7938组输入向量数据选自ISO7730中推荐的PMV及其参数范围,并考虑工作位形成的微环境的参数区间,以及ASHRAE标准舒适区域。编制程序计算出输入向量对应的PMV值作为模型的输出量。对网络进行训练和测试的结果表明,用人工神经网络建立的模型能够迅速准确地预测工位空调微环境的热舒适指标PMV。

关 键 词:工位空调  PMV  人工神经网络  预测  模型

Research of Artificial Neural Network Model for Thermal Comfort Index PMV about the Task Air-conditioning System
Wang Meng Wei Caixin Wu Zuolian Liu Xiaochun Liu Hui Huang Guanhao.Research of Artificial Neural Network Model for Thermal Comfort Index PMV about the Task Air-conditioning System[J].Refrigeration & Air-condition,2011(5):443-448.
Authors:Wang Meng Wei Caixin Wu Zuolian Liu Xiaochun Liu Hui Huang Guanhao
Affiliation:Wang Meng1 Wei Caixin2 Wu Zuolian1 Liu Xiaochun1 Liu Hui1 Huang Guanhao1(1.College of Water Conservancy and Civil Engineering of Shandong Agricultural University,Tai'an,271018,2.Hebei Agricultural Scientific Research Institute,Shijiazhuang,050000)
Abstract:Artificial Neural Network Model for predicting thermal comfort index PMV about local environment created by Task Air-Conditioning system was developed in this article.The 7938 groups of studying and testing data samples were chosen from the parameters recommended by ISO 7730,considering the parameter intervals of local environment in the workstations,as well as the standard thermal comfort regions of ASHRAE.Outputs of the model were the PMV values calculated by computer program.The results of training and t...
Keywords:Task Air-conditioning  PMV  Artificial Neural Network  Predict  Model  
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