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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Sensors and Materials, Volume 32, Number 1(1) (2020)
Copyright(C) MYU K.K.
pp. 59-78
S&M2087 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2020.2622
Published: January 9, 2020

Localization of Heating, Ventilation, and Air Conditioning by Walking in Smart Building [PDF]

Nathavuth Kitbutrawat, Chuanhsin Chen, Shugo Kajita, Hirozumi Yamaguchi, and Teruo Higashino

(Received September 17, 2019; Accepted November 19, 2019)

Keywords: localization, RSSI, HVAC, BLE, smartphone

Energy saving has been explored over the past decades. Since most of the energy consumption in a building is from the air condition system, the air conditioners in a building are often controlled through a heating, ventilation, and air conditioning (HVAC) system. To control each HVAC unit individually, the locations of HVAC units are essential information. However, manual location identification requires significant labor for a large number of Internet of Things (IoT) devices deployed in a building. In this paper, we propose a Bluetooth low energy (BLE)-based HVAC unit localization method. We assume that a BLE module is attached to each HVAC unit, and then the locations of HVAC units can be estimated using the signal strength of the BLE module, which is observed by site survey of a worker. Our method requires a floor plan containing the physical locations of HVAC units and matches BLEs to the locations on the floor plan by estimation. The site survey can be carried out without visiting the entire site. Instead, the worker is required to follow several walking paths, which reduces the labor cost and time. We evaluated our method in a real office building with 26 BLEs on two floors. The results show that 70% of the BLEs were matched to their correct physical locations.

Corresponding author: Nathavuth Kitbutrawat


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Cite this article
Nathavuth Kitbutrawat, Chuanhsin Chen, Shugo Kajita, Hirozumi Yamaguchi, and Teruo Higashino, Localization of Heating, Ventilation, and Air Conditioning by Walking in Smart Building, Sens. Mater., Vol. 32, No. 1, 2020, p. 59-78.



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