Study on indoor environmental comfort based on improved PMV index

被引：0

作者：

Nian, Fuzhong ^{[1
]}

Wang, Ke ^{[1
]}

机构：

[1] Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China

来源：

2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT) | 2017年

关键词：

PMV index; BP neural network; indoor environmental comfort; THERMAL SENSATION; STATE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The study of indoor environmental comfort is to ensure that the human body feel comfortable as the goal, while meeting the requirements of energy saving and consumption reduction. The paper is based on the index of PMV was proposed by Professor Fanger, and to be improved and increased two environmental parameters, as indoor video and the number of indoor CO2 concentration parameter., The research method of indoor environmental comfort is put forward in the paper. The improved PMV index by BP neural network established calculation model, through multi sensors on the indoor environment parameters of monitoring data, and indoor environment comfort experiment. The experimental results show that the improved PMV index is more real-time and accurate to reflect the indoor environmental comfort than traditional PMV index.

引用

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页数：4

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