A Study of Ventilation Guidance Function in Air-Conditioning Guidance System

Masaki Sakagami, Nobuo Funabiki, Yuan Zhi Huo, Kazuyuki Kojima, Wen Chun Kao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previously, we have studied the air-conditioning guidance system (AC-Guide) to optimize the use of AC in the room using the indoor/outdoor discomfort index. Currently, the epidemic of COVID-19 is spreading around the world, and the ventilation of the room becomes critical to avoid the infection, which should be properly guided together. In this paper, we study the ventilation guidance function using the measured CO2 density in AC-Guide. The opening/closing state of the door and window is automatically detected using the web camera, where the image processing procedures are newly implemented. Experiment results in an Okayama University building confirm the effectiveness.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Consumer Electronics, ICCE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665441544
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Consumer Electronics, ICCE 2022 - Virtual, Online, United States
Duration: 2022 Jan 72022 Jan 9

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2022-January
ISSN (Print)0747-668X

Conference

Conference2022 IEEE International Conference on Consumer Electronics, ICCE 2022
Country/TerritoryUnited States
CityVirtual, Online
Period2022/01/072022/01/09

Keywords

  • COVID-19
  • COdensity
  • Raspberry Pi
  • air-conditioning guidance
  • dis-comfort index

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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