Gas Dispersion Simulator with Strong Fluctuations for Developing Gas Source Localization Systems

被引：2

作者：

Sakaue, Motoki ^{[1
]}

Takahashi, Yusuke ^{[1
]}

Matsukura, Haruka ^{[2
]}

Ishida, Hiroshi ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Grad Sch Bioapplicat & Syst Engn, Tokyo, Japan

[2] Univ Electrocommun, Grad Sch Informat & Engn, Tokyo, Japan

来源：

2022 IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE (ISOEN 2022) | 2022年

关键词：

gas source localization; gas dispersion; time series generation;

D O I：

10.1109/ISOEN54820.2022.9789554

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

Here we report a gas dispersion simulator that can be used to develop and evaluate robotic systems for gas leak detection and gas source localization. The key contribution of this paper is a wind field generator capable of recreating highly fluctuating wind fields that we often encounter in open outdoor environments. Gas-source localization simulations can be done using artificially generated wind data that satisfy the statistical properties of natural wind. Results of the simulations are compared to simulation results obtained using wind data recorded in a real environment to show the effectiveness of the proposed wind generator.

引用

页数：4

共 14 条

[11] The wrapped t family of circular distributions [J].

Pewsey, Arthur ;

Lewis, Toby ;

Jones, M. C. .

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, 2007, 49 (01) :79-91

[12] Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization [J].

Rahbar, Faezeh ;

Marjovi, Ali ;

Martinoli, Alcherio .

SENSORS, 2019, 19 (03)

[13]

VANDERHOVEN I, 1957, J METEOROL, V14, P160, DOI 10.1175/1520-0469(1957)014<0160:PSOHWS>2.0.CO

[14]

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