Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space

In large work spaces, such as logistics warehouses, implementing whole-space air cleaning to protect the workers’ health can be costly. To tackle this issue, the present study developed a user-tracking robot equipped with a nanofiber air cleaner to achieve personal air cleaning for a moving worker in a large work space. First, nanofiber air filters with low pressure drop were fabricated using the electrospinning technique. An air cleaner with a deflector for directing the airflow towards the user’s breathing zone and the nanofiber air filters was assembled and then integrated into a user-tracking robot. Experiments were conducted to measure the clean air delivery rate (CADR) of the nanofiber air cleaner, evaluate the accuracy of the user-tracking algorithm, and determine the optimal deflector setup and user-to-robot distance. Field tests were conducted to evaluate the personal air cleaning performance of the proposed method by comparison with a stationary nanofiber air cleaner. The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. The user-tracking robot with nanofiber air cleaner outperformed the stationary nanofiber air cleaner by reducing the concentration of 0.3–0.4 μm particles in the breathing zone of the user by 16.4 %. Furthermore, compared with commercial panel-type high-efficiency particulate air (HEPA) filters, the use of nanofiber air filters can extend the battery service life, consequently facilitating the practical application of the moving robot.

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Publication Details

Journal
Indoor Environments
Published
2025-01-27
DOI
https://doi.org/10.1016/j.indenv.2025.100078
Citations
1
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20

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article

Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space

Chun Chen, Zhuolun Niu, Chao Deng
1 citations
Indoor Environments
Air Quality and Health Impacts
1.20
article

Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space

Chun Chen, Zhuolun Niu, Chao Deng
article en
1 citations

Abstract

In large work spaces, such as logistics warehouses, implementing whole-space air cleaning to protect the workers’ health can be costly. To tackle this issue, the present study developed a user-tracking robot equipped with a nanofiber air cleaner to achieve personal air cleaning for a moving worker in a large work space. First, nanofiber air filters with low pressure drop were fabricated using the electrospinning technique. An air cleaner with a deflector for directing the airflow towards the user’s breathing zone and the nanofiber air filters was assembled and then integrated into a user-tracking robot. Experiments were conducted to measure the clean air delivery rate (CADR) of the nanofiber air cleaner, evaluate the accuracy of the user-tracking algorithm, and determine the optimal deflector setup and user-to-robot distance. Field tests were conducted to evaluate the personal air cleaning performance of the proposed method by comparison with a stationary nanofiber air cleaner. The results show that the user-tracking algorithm of the user-tracking robot was accurate, with an average absolute error in the user-to-robot distance of 4 cm. The user-tracking robot with nanofiber air cleaner outperformed the stationary nanofiber air cleaner by reducing the concentration of 0.3–0.4 μm particles in the breathing zone of the user by 16.4 %. Furthermore, compared with commercial panel-type high-efficiency particulate air (HEPA) filters, the use of nanofiber air filters can extend the battery service life, consequently facilitating the practical application of the moving robot.

Indoor EnvironmentsVol. 2(1)
Chinese University of Hong Kong (HK)
Research Grants Council, University Grants Committee
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Air Quality and Health Impacts
1.20
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space — Chun Chen, Zhuolun Niu, et al. · Indoor Environments (2025) | TGRS Research Map | TGRS