TY - JOUR
T1 - Controlling the initiating time of ventilation facilities by spatial analytic method
AU - Hsu, Hsieh Chih
AU - Wu, I. Cheng
AU - Pan, Chen Yu
N1 - Funding Information:
The authors sincerely thank the following funding institutions for their grants in supporting this research: Ministry of Science and Technology of Taiwan (No.: MOST 110-2628-E-006-003- ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8/15
Y1 - 2022/8/15
N2 - Ventilation, as a prevention approach, is required more frequently due to the change of epidemic. The pattern of human activities moved from outdoor to indoor and increased the negative influences on indoor air quality. However, excessive ventilation will cause energy waste, especially since the facilities operate continuously without consulting indoor air quality information. In order to improve the mechanism of operation decision, we propose a spatial analytic method. It is to combine the Internet of Things (IoT) and object detection to dominate the switch of ventilation facilities. And, the results indicate the proposed method effectively reduces the service time of the facilities by about 70% and maintain the indoor CO2 concentration below 1000 ppm. Also, it can accurately determine the frequency or duration of activation concerning the current number of people indoors and allude to the strong connection between the two at the same time.
AB - Ventilation, as a prevention approach, is required more frequently due to the change of epidemic. The pattern of human activities moved from outdoor to indoor and increased the negative influences on indoor air quality. However, excessive ventilation will cause energy waste, especially since the facilities operate continuously without consulting indoor air quality information. In order to improve the mechanism of operation decision, we propose a spatial analytic method. It is to combine the Internet of Things (IoT) and object detection to dominate the switch of ventilation facilities. And, the results indicate the proposed method effectively reduces the service time of the facilities by about 70% and maintain the indoor CO2 concentration below 1000 ppm. Also, it can accurately determine the frequency or duration of activation concerning the current number of people indoors and allude to the strong connection between the two at the same time.
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U2 - 10.1016/j.jobe.2022.104488
DO - 10.1016/j.jobe.2022.104488
M3 - Article
AN - SCOPUS:85130528413
SN - 2352-7102
VL - 54
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 104488
ER -