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3D multi-robot olfaction in naturally ventilated indoor environments: Locating a time-varying source at unknown heights.
Jiang, Mingrui; Tong, Chengxin; Li, Zhenfeng; Cai, Hao; Zhang, Canxin; Shi, Yue; Chen, Hao; Tong, Yan.
Afiliación
  • Jiang M; Department of HVAC, College of Urban Construction, Nanjing Tech University, Nanjing 210009, PR China.
  • Tong C; Department of HVAC, College of Urban Construction, Nanjing Tech University, Nanjing 210009, PR China.
  • Li Z; Department of HVAC, College of Urban Construction, Nanjing Tech University, Nanjing 210009, PR China.
  • Cai H; Department of HVAC, College of Urban Construction, Nanjing Tech University, Nanjing 210009, PR China. Electronic address: caihao@njtech.edu.cn.
  • Zhang C; The First Institute of Mechanical and Electrical Equipment Design, Nanjing Yangtze River Urban Architectural Design CO., LTD., Nanjing 210012, PR China.
  • Shi Y; Tianjin Institute of Environment and Operational Medicine, Tianjin 300050, PR China.
  • Chen H; Training Base of Army Engineering University, Xuzhou 221004, PR China.
  • Tong Y; Department of HVAC, College of Urban Construction, Nanjing Tech University, Nanjing 210009, PR China.
Sci Total Environ ; 926: 171939, 2024 May 20.
Article en En | MEDLINE | ID: mdl-38527543
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Robótica / Contaminación del Aire Interior Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Robótica / Contaminación del Aire Interior Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article