Perception based Method for Indoor Air Quality Control

被引：0

作者：

Flessner, Jannik ^{[1
]}

Frenken, Melina ^{[1
]}

机构：

[1] Jade Univ Appl Sci Oldenburg, ITAS, Ofenerstr 16-19, D-26121 Oldenburg, Germany

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2017年

关键词：

FUZZY-LOGIC; HUMID ENVIRONMENTS; HUMAN COMFORT; SBS SYMPTOMS; BUILDINGS; OFFICE; TEMPERATURE; WARM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work describes the design of a building automation controller for indoor air quality, which is different from common control strategies. Normative strategies are focused solely on the management of ventilation rates and the reduction of pollutant concentrations. The positive effect of air movement and the negative effect of high temperatures on the perceived air quality are not considered. In this paper, we present a novel approach to design a controller based on fuzzy logic, which adapts the air movement velocity depending on the temperature. Data about the perceived indoor air quality during varying thermal conditions are used to model the fuzzy controller.

引用

页码：2034 / 2039

页数：6

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