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), 2024. Published by Science Publishing Group |
Multi-sensor Data Fusion, Storage Environment, State Estimation
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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
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
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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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}
}
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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