Measuring Gas Concentration and Wind Intensity in a Turbulent Wind Tunnel with a Mobile Robot

被引：8

作者：

Martinez, Dani ^{[1
]}

Moreno, Javier ^{[1
]}

Tresanchez, Marcel ^{[1
]}

Clotet, Eduard ^{[1
]}

Manuel Jimenez-Soto, Juan ^{[2
]}

Magrans, Rudys ^{[1
]}

Pardo, Antonio ^{[3
]}

Marco, Santiago ^{[2
,3
]}

Palacin, Jordi ^{[1
]}

机构：

[1] Univ Lleida, Dept Comp Sci & Ind Engn, Jaume 2 69, Lleida 25001, Spain

[2] Inst Bioengn Catalonia, Signal & Informat Proc Sensing Syst, Baldiri Reixac 10-12, Barcelona 08028, Spain

[3] Univ Barcelona, Dept Elect, Marti i Franques 1, E-08028 Barcelona, Spain

来源：

JOURNAL OF SENSORS | 2016年 / 2016卷

关键词：

D O I：

10.1155/2016/7184980

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents the measurement of gas concentration and wind intensity performed with a mobile robot in a custom turbulent wind tunnel designed for experimentation with customizable wind and gas leak sources. This paper presents the representation in different information layers of the measurements obtained in the turbulent wind tunnel under different controlled environmental conditions in order to describe the plume of the gas and wind intensities inside the experimentation chamber. The information layers have been generated from the measurements gathered by individual onboard gas and wind sensors carried out by an autonomous mobile robot. On the one hand, the assumption was that the size and cost of these specialized sensors do not allow the creation of a net of sensors or other measurement alternatives based on the simultaneous use of several sensors, and on the other hand, the assumption is that the information layers created will have application on the development and test of automatic gas source location procedures based on reactive or nonreactive algorithms.

引用

页数：8

共 22 条

[1]

Ahlberg J. H., 1967, The Theory of Splines and Their Applications

[2]

[Anonymous], 2014, BRIT MACH VIS C

[3] Combining Non Selective Gas Sensors on a Mobile Robot for Identification and Mapping of Multiple Chemical Compounds [J].

Bennetts, Victor Hernandez ;

Schaffernicht, Erik ;

Pomareda, Victor ;

Lilienthal, Achim J. ;

Marco, Santiago ;

Trincavelli, Marco .

SENSORS, 2014, 14 (09) :17331-17352

[4]

Collins T., 2007, 2007 MED C CONTR AUT, P1, DOI DOI 10.1109/MED.2007.4433772

[5] Dataset from chemical gas sensor array in turbulent wind tunnel [J].

Fonollosa, Jordi ;

Rodriguez-Lujan, Irene ;

Trincavelli, Marco ;

Huerta, Ramon .

DATA IN BRIEF, 2015, 3 :169-174

[6]

GARDNER JW, 1994, SENSOR ACTUAT B-CHEM, V18, P211

[7] Monocular SLAM for Autonomous Robots with Enhanced Features Initialization [J].

Guerra, Edmundo ;

Munguia, Rodrigo ;

Grau, Antoni .

SENSORS, 2014, 14 (04) :6317-6337

[8] Chemical Sensing in Robotic Applications: A Review [J].

Ishida, Hiroshi ;

Wada, Yuta ;

Matsukura, Haruka .

IEEE SENSORS JOURNAL, 2012, 12 (11) :3163-3173

[9] Building gas concentration gridmaps with a mobile robot [J].

Lilienthal, A ;

Duckett, T .

ROBOTICS AND AUTONOMOUS SYSTEMS, 2004, 48 (01) :3-16

[10] Gas distribution mapping of multiple odour sources using a mobile robot [J].

Loutfi, Amy ;

Coradeschi, Silvia ;

Lilienthal, Achim J. ;

Gonzalez, Javier .

ROBOTICA, 2009, 27 :311-319

← 1 2 3 →