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Paper Abstract and Keywords
Presentation 2023-01-10 15:20
Extensions of Air Conditioning Optimization Guidance System for Improved Ventilation Instructions
Masaki Sakagami, Kazushi Hamazaki, Sho Ito, Tomoya Nagayama, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) MSS2022-48 SS2022-33
Abstract (in Japanese) (See Japanese page) 
(in English) Currently, we are developing the air conditioning optimization guidance system called AC-Guide. For saving energy and improving comfortableness, AC-Guide outputs the ON/OFF guidance of the air conditioner by comparing the discomfort index calculated from the measured temperature and humidity in a room. Besides, for reducing risks of infections of COVID-19, it outputs the ventilation guidance of doors and windows by comparing the measured CO2 density with the given threshold. Using web cameras, it checks the ventilation action by the guidance. In this paper, we extend AC-Guide for predicting the CO2 density in a near future by detecting the number of persons in the room using the indoor localization system called FILS15.4 that has been also developed in our group. First, we measure the CO2 density decreasing rate for each combination of opening the door and windows in the room, and find the best combination. Second, we measure the particulate amount and the noise in the room using the corresponding sensors, and analyze the relationship with the ventilation. We implement the web application system using Node.js for the user interface on a tablet in the room. Long-term evaluations of the accuracy and usability of the extended AC-Guide will be in future works.
Keyword (in Japanese) (See Japanese page) 
(in English) Air conditioning optimization / guidance / ventilation / indoor localization / CO2 density / particulate amount / noise /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 330, SS2022-33, pp. 19-24, Jan. 2023.
Paper # SS2022-33 
Date of Issue 2023-01-03 (MSS, SS) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee MSS SS  
Conference Date 2023-01-10 - 2023-01-11 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2023-01-MSS-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Extensions of Air Conditioning Optimization Guidance System for Improved Ventilation Instructions 
Sub Title (in English)  
Keyword(1) Air conditioning optimization  
Keyword(2) guidance  
Keyword(3) ventilation  
Keyword(4) indoor localization  
Keyword(5) CO2 density  
Keyword(6) particulate amount  
Keyword(7) noise  
1st Author's Name Masaki Sakagami  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Kazushi Hamazaki  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Sho Ito  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Tomoya Nagayama  
4th Author's Affiliation Okayama University (Okayama Univ.)
5th Author's Name Nobuo Funabiki  
5th Author's Affiliation Okayama University (Okayama Univ.)
6th Author's Name Minoru Kuribayashi  
6th Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2023-01-10 15:20:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # MSS2022-48, SS2022-33 
Volume (vol) vol.122 
Number (no) no.329(MSS), no.330(SS) 
Page pp.19-24 
Date of Issue 2023-01-03 (MSS, SS) 

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