Application of Fuzzy Data Fusion in Storage Environment Security Monitoring

Depeng Fan; Shouhai Wang

doi:doi:10.11648/j.ajam.20160405.11

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Application of Fuzzy Data Fusion in Storage Environment Security Monitoring

Depeng Fan, Shouhai Wang

Published in American Journal of Applied Mathematics (Volume 4, Issue 5)

Received: 16 July 2016 Accepted: 29 July 2016 Published: 17 August 2016

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Abstract

In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.

Published in	American Journal of Applied Mathematics (Volume 4, Issue 5)
DOI	10.11648/j.ajam.20160405.11
Page(s)	197-203
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Multi-sensor Data Fusion, Storage Environment, State Estimation

References

[1]	Zhang Qiu. Research on the Application of Wireless Sensor Network in Storage Environment Monitoring [D]. Jiangnan University, 2013.
[2]	Liu Yachuang. TheResearch of Underwater Sensor Networks Deployment Based on Data Fusion [D]. Henan University of Science and Technology, 2015.
[3]	Xie Jijian, Liu Chengping. The Method of Fuzzy Mathematics and its Application [M]. Wuhan: Huazhong University of Science and Technology Press, 2014.
[4]	Zhang Mingyang, Research of WSN-based Data Fusion in Water Quality Monitoring [J]. Computer engineering and application, 2014, 23: 234-238+260.
[5]	Liu Dong, Liu Dejun. Multi-sensor Integration and Information Fusion and its Application Research [J]. Chemical engineering and equipment, 2015, 05: 170-171+213.
[6]	Chu Qianyun, Chen Hao, Liao Tongqing. Remote Intelligent Methane Tank Monitoring System Based on Multi-sensor Information Fusion Technology [J]. Computer knowledge and technology, 2016, 10: 234-236.
[7]	Zhai Weiqing, Zhao Zhimin. Application of Multi-sensor Information Fusion Method and CAN Bus Technology in Coal Mine Safety Environment Monitoring [J]. Science & Technology vision, 2015, 20: 16.
[8]	Yi Gao Xiang, Pan Changcheng, Guo Jianzhong, Wang Shibin, Wang rujun, Kang Rongxue. Study on Safety Monitoring Model of Petroleum Tank Farm Based on Multi-source Data Fusion [J]. China safety science and technology, 2014, 03: 90-94.
[9]	Liu Qian.Agriculture IOT-oriented Multi-environment Information Fusion for Monitoring and Recognition [D]. Donghua University, 2014.
[10]	Chen Qian. Design and Implementation of WSN Based on Data Fion for Environment Monitoring in Communication Equipment Room [D]. Chongqing University, 2014.
[11]	Zhao Juanni. Multi-sensor Data Fusion Technology and its Application in Photovoltaic Power Plant Monitoring System [J]. Science and technology information, 2013, 07: 401-402.

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APA Style

Depeng Fan, Shouhai Wang. (2016). Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. American Journal of Applied Mathematics, 4(5), 197-203. https://doi.org/10.11648/j.ajam.20160405.11

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ACS Style

Depeng Fan; Shouhai Wang. Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. Am. J. Appl. Math. 2016, 4(5), 197-203. doi: 10.11648/j.ajam.20160405.11

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AMA Style

Depeng Fan, Shouhai Wang. Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. Am J Appl Math. 2016;4(5):197-203. doi: 10.11648/j.ajam.20160405.11

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@article{10.11648/j.ajam.20160405.11,
  author = {Depeng Fan and Shouhai Wang},
  title = {Application of Fuzzy Data Fusion in Storage Environment Security Monitoring},
  journal = {American Journal of Applied Mathematics},
  volume = {4},
  number = {5},
  pages = {197-203},
  doi = {10.11648/j.ajam.20160405.11},
  url = {https://doi.org/10.11648/j.ajam.20160405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20160405.11},
  abstract = {In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.},
 year = {2016}
}

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TY  - JOUR
T1  - Application of Fuzzy Data Fusion in Storage Environment Security Monitoring
AU  - Depeng Fan
AU  - Shouhai Wang
Y1  - 2016/08/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ajam.20160405.11
DO  - 10.11648/j.ajam.20160405.11
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 197
EP  - 203
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20160405.11
AB  - In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.
VL  - 4
IS  - 5
ER  -

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Author Information

Depeng Fan

Graduate Department, Beijing Wuzi University, Beijing, China
Shouhai Wang

Graduate Department, Beijing Wuzi University, Beijing, China

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Plain Text BibTeX RIS

APA Style

Depeng Fan, Shouhai Wang. (2016). Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. American Journal of Applied Mathematics, 4(5), 197-203. https://doi.org/10.11648/j.ajam.20160405.11

Copy | Download

ACS Style

Depeng Fan; Shouhai Wang. Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. Am. J. Appl. Math. 2016, 4(5), 197-203. doi: 10.11648/j.ajam.20160405.11

Copy | Download

AMA Style

Depeng Fan, Shouhai Wang. Application of Fuzzy Data Fusion in Storage Environment Security Monitoring. Am J Appl Math. 2016;4(5):197-203. doi: 10.11648/j.ajam.20160405.11

Copy | Download

@article{10.11648/j.ajam.20160405.11,
  author = {Depeng Fan and Shouhai Wang},
  title = {Application of Fuzzy Data Fusion in Storage Environment Security Monitoring},
  journal = {American Journal of Applied Mathematics},
  volume = {4},
  number = {5},
  pages = {197-203},
  doi = {10.11648/j.ajam.20160405.11},
  url = {https://doi.org/10.11648/j.ajam.20160405.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20160405.11},
  abstract = {In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Application of Fuzzy Data Fusion in Storage Environment Security Monitoring
AU  - Depeng Fan
AU  - Shouhai Wang
Y1  - 2016/08/17
PY  - 2016
N1  - https://doi.org/10.11648/j.ajam.20160405.11
DO  - 10.11648/j.ajam.20160405.11
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 197
EP  - 203
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20160405.11
AB  - In this paper, fuzzy set theory and multi-sensor data fusion technology are combined and applied in the safety monitoring of the storage environment, this paper establishes the sensor information fusion model and colligate incomplete information collected by multiple sensors, and eliminating the possible redundant and contradictory information among the multi sensor. After the analysis and process of the two level fusion model, the accurate estimation of the safe condition of the storage environment can be obtained. Finally, the method, which can effectively improve the reliability of the safe condition of the storage environment, is verified by an example.
VL  - 4
IS  - 5
ER  -

Copy | Download