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International Journal of New Developments in Engineering and Society, 2022, 6(2); doi: 10.25236/IJNDES.2022.060208.

Exploration on path improvement of fire alarm system

Author(s)

Xia Li1, Liangwei Zhang2, Mingxuan Jiang3

Corresponding Author:
Xia Li
Affiliation(s)

1College of Business Administration, China University of Petroleum Beijing at Karamay, Karamay, 834000, China

2College of Arts and Sciences, China University of Petroleum Beijing at Karamay, Karamay, 834000, China

3Petroleum Institute, China University of Petroleum Beijing at Karamay, Karamay, 834000, China

Abstract

For fire alarm system equipment, we should also strive to achieve a high-level grasp of the early warning situation, so as to better protect the lives and valuable property of the people. This paper mainly focuses on the improvement path of the accuracy of the components of the fire early warning system. Based on this, a comprehensive analysis and research is carried out in combination with the given data set and the preliminary characteristics of the city. Further, to quantify the comprehensive management level, the entropy weight-TOPSIS model was established,   and relevant suggestions were put forward for the comprehensive management level.

Keywords

certainty reliability, Z-score processing, Bootstrap simulation, entropy weight TOPSIS evaluation

Cite This Paper

Xia Li, Liangwei Zhang, Mingxuan Jiang. Exploration on path improvement of fire alarm system. International Journal of New Developments in Engineering and Society (2022) Vol.6, Issue 2: 43-49. https://doi.org/10.25236/IJNDES.2022.060208.

References

[1] Zeng Z, Wen M, Kang R. Belief reliability: A new metrics for products’ reliability [J]. Fuzzy Optimization and Decision Making, 2013, 12(1): 15-27.

[2] Fan Mengfei, Zeng Zhiguo, Kang Rui. Reliability evaluation method based on certainty reliability [J]. Systems Engineering and Electronic Technology, 2015,37(11):2648-2653.

[3] Xing Zhixiang, Chen Lu, Zhu Dezhi. Monte Carlo simulation of reliability of fire detection and alarm system based on Matlab [J]. China Safety Production Science and Technology, 2012,8(01):47-51.

[4] Dhillon B S. Failure modes and effects analysis—bibliography[J]. Microelectronics Reliability, 1992, 32(5): 719-731.

[5] Chen Ying, Kang Rui. FMECA technology and its application [M]. 2nd edition. Beijing: National Defense Industry Press, 2014.

[6] Mckinney B T. FMECA, the right way. 1991.

[7] Sayareh J, Ahouei V R . Failure mode and effects analysis (FMEA) for reducing the delays of Cargo handling operations in marine bulk terminals[J]. Journal of Maritime Research, 2013, 10(2):43-50.

[8] Zhang Yudong. Research on fire safety risk diagnosis and adaptive mechanism in urban areas [D]. Capital University of Economics and Business, 2019. DOI: 10.27338/d.cnki.gsjmu.2019.001100.

[9] Wang Jinglong, Liang Xiaojun. Nonparametric statistical analysis [M]. Higher Education Press, 2006.

[10] Cui Qiming, Guo Zixiang, Zhao Yutong, Pei Kai. Maintenance and use of fire alarm control system [J]. China Instrument, 2019(12):45-47.