Identification of contaminant source characters based on finite sensor message

Meng Liu; Ke Yong Zhu

doi:10.1109/ICBBE.2009.5162919

Identification of contaminant source characters based on finite sensor message

Meng Liu^*
, Ke Yong Zhu

^*此作品的通讯作者

航空科学与工程学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration.

源语言	英语
主期刊名	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
DOI	https://doi.org/10.1109/ICBBE.2009.5162919
出版状态	已出版 - 2009
活动	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 - Beijing, 中国期限: 11 6月 2009 → 13 6月 2009

出版系列

姓名	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

会议

会议	3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009
国家/地区	中国
市	Beijing
时期	11/06/09 → 13/06/09

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/ICBBE.2009.5162919

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{05229f5304cf45dabc81e4c7d0a71186,

title = "Identification of contaminant source characters based on finite sensor message",

abstract = "To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration.",

keywords = "Concentration prediction, Discretized concentration stochastic model, Enclosed environment, Inverse problem, Kalman filter, Source identification",

author = "Meng Liu and Zhu, \{Ke Yong\}",

year = "2009",

doi = "10.1109/ICBBE.2009.5162919",

language = "英语",

isbn = "9781424429028",

series = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

booktitle = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009",

note = "3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 ; Conference date: 11-06-2009 Through 13-06-2009",

}

Liu, M & Zhu, KY 2009, Identification of contaminant source characters based on finite sensor message. 在 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009., 5162919, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009, Beijing, 中国, 11/06/09. https://doi.org/10.1109/ICBBE.2009.5162919

Identification of contaminant source characters based on finite sensor message. / Liu, Meng ; Zhu, Ke Yong.
3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 2009. 5162919 (3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Identification of contaminant source characters based on finite sensor message

AU - Liu, Meng

AU - Zhu, Ke Yong

PY - 2009

Y1 - 2009

N2 - To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration.

AB - To protect occupants from infectious diseases or possible chemical/biological agents in an enclosed space, such as spacecraft, submarine, aircraft and so on, it is critical to identify gaseous contaminant source location and strength. This paper presented a novel algorithm to identify contaminant source characters based on finite sensor messages. After having identified the source location by using the sensitivity analysis algorithm, this method built a new discrete concentration stochastic model, and combined implicit and explicit Kalman filter. This method could track and predict the source strength dynamically; meanwhile, it also could predict the distribution of contaminant concentration.

KW - Concentration prediction

KW - Discretized concentration stochastic model

KW - Enclosed environment

KW - Inverse problem

KW - Kalman filter

KW - Source identification

UR - https://www.scopus.com/pages/publications/72749126620

U2 - 10.1109/ICBBE.2009.5162919

DO - 10.1109/ICBBE.2009.5162919

M3 - 会议稿件

AN - SCOPUS:72749126620

SN - 9781424429028

T3 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

BT - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

T2 - 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009

Y2 - 11 June 2009 through 13 June 2009

ER -

Identification of contaminant source characters based on finite sensor message

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此