山东科学 ›› 2016, Vol. 29 ›› Issue (1): 110-115.doi: 10.3976/j.issn.1002-4026.2016.01.019

• 其他研究论文 • 上一篇    下一篇

基于PMV指标的室内环境热舒适度控制器设计

冯鑫,段培永,段晨旭   

  1. 山东建筑大学信息与电气工程学院,山东 济南 250101
  • 收稿日期:2015-11-13 出版日期:2016-02-20 发布日期:2016-02-20
  • 作者简介:冯鑫(1988-),男,硕士研究生,研究方向为智能环境与网络化控制研究。Email:fengxin0205@126.com
  • 基金资助:

    国家自然科学基金(61374187)

PMV index based design of indoor thermal environment comfort controller

FENG Xin, DUAN Peiyong, DUAN Chenxu   

  1. Department of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101,China
  • Received:2015-11-13 Online:2016-02-20 Published:2016-02-20

摘要:

针对目前室内热环境调节缺少合理控制方法的问题,本文在分析温度、湿度、风速和平均辐射温度四个热环境参数对PMV指数影响的基础上,基于人体舒适度模型的模糊控制,将嵌入式ARM9芯片作为主控制芯片,结合无线传感网络,设计了一种室内舒适度控制器,并阐述了其系统构成与决策方法。该控制器不仅布设方便,而且能够在保证人体室内舒适度的情况下,减少调节室内热环境过程中带来的能耗。

关键词: PMV指数, 热舒适度, 模糊控制

Abstract:

In view of the issue of lacking reasonable control method in indoor thermal environment regulation, we design an indoor thermal comfort controller based on analysis of the influence of air temperature, relative humidity, mean radiant temperature and air velocity on PMV(Predicted Mean Vote) index, human body comfort model based fuzzy control, embedded chip ARM9 and wireless sensor networks. We also present its system composition and decision method. The controller not only is convenient to be deployed, but also can reduce energy consumption caused by indoor thermal environment regulation based on guaranteeing human body comfort index.

Key words: fuzzy control, PMV index, thermal comfort

中图分类号: 

  • TP272