Air-Conditioning Control with Spatial Recognition Using Stereo Infrared Array Sensors

Yuki Takayama, Saki Saito, Yuiko Sakuma, Hiroaki Nishi

研究成果: Conference contribution


Depending on the location of the air conditioner and the shape of a room, air-conditioning control may be inefficient resulting in temperature imbalance. When attempting to solve this problem, it is vital to understand the spatial structure of a room (including its size and shape) and the location of air conditioners and then automatically control the airflow and direction according to the structure. However, such a method for recognizing spatial structures has not yet been established. In this paper, we propose a spatial recognition method using stereo infrared array sensors (SIRA sensors) installed in an air conditioner. Our system detects objects in the obtained thermal images and estimates their distances using triangulation. In addition, the room's size and shape are estimated based on the assumption that the room size lies within the detection range. The distances to the front and left/right walls were estimated in one-meter-wide classes. The estimation accuracy was compared using two types of IRA sensors: thermopile array sensors and thermal diode infrared sensors. Regarding the distance estimation of persons from the captured stereo thermal images, the average error rate was 12.5% for both types. The distance to each wall was estimated within a 1 m error range for the thermal diode infrared sensor. Moreover, applications of the proposed spatial recognition to air-conditioning control were demonstrated. Specifically, we propose a method to control the airflow direction and volume by considering the room's geometry. An L-shaped room was modeled and simulated. From the results, the spatial recognition reduced the unevenness in temperature by adjusting the airflow based on the room shape. These results indicate that the proposed method can be practically used for spatial recognition to efficiently improve user comfort by controlling air-conditioning based on the spatial structure and eliminating uneven temperature.

ホスト出版物のタイトルIECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
出版社IEEE Computer Society
出版ステータスPublished - 2021 10月 13
イベント47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, Canada
継続期間: 2021 10月 132021 10月 16


名前IECON Proceedings (Industrial Electronics Conference)


Conference47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 電子工学および電気工学


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