Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion

Huang Ye; Wang Xiaogang; Gan Shuchuan

doi:doi:10.11648/j.ijssn.20210901.13

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Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion

Huang Ye, Wang Xiaogang, Gan Shuchuan

Published in International Journal of Sensors and Sensor Networks (Volume 9, Issue 1)

Received: 17 January 2021 Accepted: 25 January 2021 Published: 30 January 2021

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Abstract

In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.

Published in	International Journal of Sensors and Sensor Networks (Volume 9, Issue 1)
DOI	10.11648/j.ijssn.20210901.13
Page(s)	19-24
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

Keywords

Fire Detection, Two Level Data Fusion, Fuzzy Proximity Algorithm, D-S Evidence Theory

References

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[4]	Ning Du, Zhi Long Liu, Huai Guo Dong. Design of Wireless Sensor Network for Fire Detection [J]. 2014, 3265: 657-660.
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[6]	Zeng Sitong, Tong Xiaowei, Shen peihui. Design of fire detection system based on wireless multi-sensor information fusion [J]. Journal of Hubei Institute of technology, 2019, 35 (06): 23-27, 32.
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APA Style

Huang Ye, Wang Xiaogang, Gan Shuchuan. (2021). Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. International Journal of Sensors and Sensor Networks, 9(1), 19-24. https://doi.org/10.11648/j.ijssn.20210901.13

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ACS Style

Huang Ye; Wang Xiaogang; Gan Shuchuan. Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. Int. J. Sens. Sens. Netw. 2021, 9(1), 19-24. doi: 10.11648/j.ijssn.20210901.13

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AMA Style

Huang Ye, Wang Xiaogang, Gan Shuchuan. Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. Int J Sens Sens Netw. 2021;9(1):19-24. doi: 10.11648/j.ijssn.20210901.13

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@article{10.11648/j.ijssn.20210901.13,
  author = {Huang Ye and Wang Xiaogang and Gan Shuchuan},
  title = {Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {9},
  number = {1},
  pages = {19-24},
  doi = {10.11648/j.ijssn.20210901.13},
  url = {https://doi.org/10.11648/j.ijssn.20210901.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20210901.13},
  abstract = {In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.},
 year = {2021}
}

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TY  - JOUR
T1  - Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion
AU  - Huang Ye
AU  - Wang Xiaogang
AU  - Gan Shuchuan
Y1  - 2021/01/30
PY  - 2021
N1  - https://doi.org/10.11648/j.ijssn.20210901.13
DO  - 10.11648/j.ijssn.20210901.13
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 19
EP  - 24
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20210901.13
AB  - In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.
VL  - 9
IS  - 1
ER  -

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Author Information

Huang Ye

School of Automation & Information Engineering, Sichuan University of Science & Engineering, Yibin, China
Wang Xiaogang

School of Automation & Information Engineering, Sichuan University of Science & Engineering, Yibin, China
Gan Shuchuan

School of Automation & Information Engineering, Sichuan University of Science & Engineering, Yibin, China

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Plain Text BibTeX RIS

APA Style

Huang Ye, Wang Xiaogang, Gan Shuchuan. (2021). Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. International Journal of Sensors and Sensor Networks, 9(1), 19-24. https://doi.org/10.11648/j.ijssn.20210901.13

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ACS Style

Huang Ye; Wang Xiaogang; Gan Shuchuan. Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. Int. J. Sens. Sens. Netw. 2021, 9(1), 19-24. doi: 10.11648/j.ijssn.20210901.13

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AMA Style

Huang Ye, Wang Xiaogang, Gan Shuchuan. Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion. Int J Sens Sens Netw. 2021;9(1):19-24. doi: 10.11648/j.ijssn.20210901.13

Copy | Download

@article{10.11648/j.ijssn.20210901.13,
  author = {Huang Ye and Wang Xiaogang and Gan Shuchuan},
  title = {Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion},
  journal = {International Journal of Sensors and Sensor Networks},
  volume = {9},
  number = {1},
  pages = {19-24},
  doi = {10.11648/j.ijssn.20210901.13},
  url = {https://doi.org/10.11648/j.ijssn.20210901.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20210901.13},
  abstract = {In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Design and Evaluation Method of Wireless Fire Detection Node Based on Multi-source Sensor Data Fusion
AU  - Huang Ye
AU  - Wang Xiaogang
AU  - Gan Shuchuan
Y1  - 2021/01/30
PY  - 2021
N1  - https://doi.org/10.11648/j.ijssn.20210901.13
DO  - 10.11648/j.ijssn.20210901.13
T2  - International Journal of Sensors and Sensor Networks
JF  - International Journal of Sensors and Sensor Networks
JO  - International Journal of Sensors and Sensor Networks
SP  - 19
EP  - 24
PB  - Science Publishing Group
SN  - 2329-1788
UR  - https://doi.org/10.11648/j.ijssn.20210901.13
AB  - In view of the problem that the traditional fire detection node is not intelligent enough for data processing when building fire occurs, a design and evaluation method of wireless fire detection node based on multi-source sensor data fusion is proposed. Firstly, the temperature and humidity sensor, carbon monoxide sensor and smoke sensor are selected to collect three kinds of fire information eigenvalues at the same time. Secondly, the analysis and processing method of two-level data fusion is established, and the fire information is processed in STC89C52 microcontroller. The first level data fusion uses fuzzy proximity algorithm to get the eigenvectors of environmental parameters, so that the measured values are closer. The second level data fusion uses D-S evidence theory to analyze the data systematically. According to the probability distribution function after fusion, more accurate decision results are obtained. Finally, the fire signal is sent to the superior data management center through ZigBee wireless transmission network, and the alarm signal is triggered in time. The whole node design gives a complete hardware selection and software data fusion processing method. Compared with the traditional fire detection node, it significantly reduces the false alarm rate. At the same time, the node has good application effect in the experiment, and realizes a wireless intelligent fire detection node with low cost, wide application range and high intelligence.
VL  - 9
IS  - 1
ER  -

Copy | Download