Study on indoor environmental comfort based on improved PMV index

	Study on indoor environmental comfort based on improved PMV index
	Nian, Fuzhong; Wang, Ke
	2017
关键词	PMV index BP neural network indoor environmental comfort
英文摘要	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.
会议录	2017 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS记录号	WOS:000426911100027
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36205]
专题	计算机与通信学院
通讯作者	Nian, Fuzhong
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Nian, Fuzhong,Wang, Ke. Study on indoor environmental comfort based on improved PMV index[C]. 见:.