3D multi-robot olfaction in naturally ventilated indoor environments : Locating a time-varying source at unknown heights

Copyright © 2024 Elsevier B.V. All rights reserved..

Source localization is significant for mitigating indoor air pollution and safeguarding the well-being and safety of occupants. While most study focuses on mechanical ventilation and static sources, this study explores the less-explored domain of locating time-varying sources in naturally ventilated spaces. We have developed an innovative 3D localization system that adjusts to varying heights, significantly enhancing capabilities beyond traditional fixed-height 2D systems. To ensure consistency in experimental conditions, we conducted comparative analyses of 2D and 3D methods, using a swinging fan to simulate natural ventilation. Our findings reveal a substantial disparity in performance: the 2D method had a success rate below 46.7% in cases of height mismatches, while our 3D methods consistently achieved success rates above 66.7%, demonstrating their superior effectiveness in complex environments. Furthermore, we validated the 3D strategies in real naturally ventilated settings, confirming their wider applicability. This research extends the scope of indoor source localization and offers valuable insights and strategies for more effective pollution control.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:926

Enthalten in:

The Science of the total environment - 926(2024) vom: 20. Apr., Seite 171939

Sprache:

Englisch

Beteiligte Personen:

Jiang, Mingrui [VerfasserIn]
Tong, Chengxin [VerfasserIn]
Li, Zhenfeng [VerfasserIn]
Cai, Hao [VerfasserIn]
Zhang, Canxin [VerfasserIn]
Shi, Yue [VerfasserIn]
Chen, Hao [VerfasserIn]
Tong, Yan [VerfasserIn]

Links:

Volltext

Themen:

3D source localization
Indoor spaces
Journal Article
Multi-robot olfaction
Natural ventilation (NV)
Time-varying sources

Anmerkungen:

Date Completed 17.04.2024

Date Revised 17.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.scitotenv.2024.171939

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370170962