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Research Article

Locating time-varying contaminant sources in 3D indoor environments with three typical ventilation systems using a multi-robot active olfaction method

Qilin Feng1, Hao Cai1( ), Fei Li2, Yibin Yang1, Zhilong Chen1( )
State Key Laboratory of Explosion & Impact and Disaster Prevention & Mitigation, Army Engineering University of PLA, Nanjing 210007, China
Department of HVAC, School of Urban Construction, Nanjing Tech University, Nanjing 210009, China
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Abstract

For a sudden contaminant release in an indoor environment, source localization can provide critical information for preventing and mitigating indoor air pollution and its related health and security problems. Considerable research has focused on locating indoor contaminant sources with instantaneous or constant release rates; however, few studies on locating indoor sources with time-varying release rates have been reported. This study proposed a multi-robot active olfactory method for promptly locating time-varying sources in 3D indoor environments. The method extends our previously proposed method for 2D indoor environments by redefining and reprogramming it in a 3D coordinate system and proposing a 3D source declaration algorithm. Via more than 200 numerical experiments in 3D indoor environments with mixing, displacement, and piston ventilation systems, the method was fully demonstrated and validated. The results show the applicability and reliability of the method and reveal the effects of space style, ventilation mode, source release rate, source location, and obstacle layout on source localization.

Keywords

indoor environmenttime-varying sourcesource localizationactive olfactorymobile robot

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Building Simulation
Volume 11 Issue 3,
June 2018
Pages 597-611
DOI: 10.1007/s12273-017-0424-6
Cite this article:
Feng Q, Cai H, Li F, et al. Locating time-varying contaminant sources in 3D indoor environments with three typical ventilation systems using a multi-robot active olfaction method. Building Simulation, 2018, 11(3): 597-611. https://doi.org/10.1007/s12273-017-0424-6
Part of a topical collection:
Ventilation, Simulation and Infectious Disease Control in Built Environment

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Received: 25 September 2017
Revised: 16 November 2017
Accepted: 21 November 2017
Published: 14 December 2017
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2017
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