DocumentCode
1836519
Title
Numerical simulation of odor plume in indoor ventilated environments for studying odor source localization with mobile robots
Author
Xiao-Bao Jiang ; Qing-Hao Meng ; Yang Wang ; Ming Zeng ; Wei Li
Author_Institution
Inst. of Robot. & Autonomous Syst., Tianjin Univ., Tianjin, China
fYear
2012
fDate
11-14 Dec. 2012
Firstpage
1029
Lastpage
1033
Abstract
To facilitate the research of mobile robot based odor source localization (OSL) and evaluate different strategies for the OSL, numerical simulation of odor plume in indoor ventilated environments is addressed. On the basis of the FLUENT software package, the 3-D wind field of an indoor ventilated environment is calculated using the Reynolds average approach, where the real wind velocity measured by a 3-D anemometer is taken as the inlet boundary condition of the simulation. In a fixed height, the 2-D wind field is obtained by superimposing a normal-distribution fluctuating speed on the calculated advection velocity, and the 2-D odor plume is built by combining the Farrell´s filament concentration model with the 2-D simulated wind field. Through comparing the wind and concentration information recorded using multiple sensor nodes with the simulated ones, the creditability of the established simulated plume is demonstrated.
Keywords
electronic noses; indoor environment; mobile robots; normal distribution; numerical analysis; sensor fusion; software packages; ventilation; 2D odor plume; 2D simulated wind field; 3D anemometer; 3D wind field; FLUENT software package; Farrell´s filament concentration model; Reynolds average approach; advection velocity; indoor ventilated environments; inlet boundary condition; mobile robot-based OSL; mobile robot-based odor source localization; multiple sensor nodes; normal-distribution fluctuating speed; numerical simulation; velocity measurement; Odor plume model; indoor ventilated environment; mobile robot; numerical simulation; odor source localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4673-2125-9
Type
conf
DOI
10.1109/ROBIO.2012.6491104
Filename
6491104
Link To Document