Author(s)

Zhiyu Chen ¹

Affiliation(s)

¹ College of Electronic Science and Technology, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, China

Corresponding Author

Zhiyu Chen

ABSTRACT

In this paper, by coding the data, statistics and screening out the alarm times, false alarm times, non-false alarm times and failure times of each component that can be warned, and the index evaluation model is established by using the analytic hierarchy process. The two first-level indicators, the rate, are used to measure the weight of early warning components to evaluate various types of components, and select reliable fire detector types according to the evaluation scores. In addition, the principal component analysis method is used to screen out the core indicators to remove the influence of redundant indicators, and establish the judgment threshold of the early warning reliability rate. When the threshold is lower than the threshold, it is regarded as a false alarm, so as to monitor the fire alarm situation. Finally, the analytic hierarchy process is used to build a model again, the weights of the newly introduced jurisdiction indicators are redistributed, the fuzzy comprehensive evaluation method is used to evaluate the comprehensive management level of each jurisdiction, and the management scores of the jurisdictions are ranked. Furthermore, the error sensitivity analysis of the evaluation model is carried out.

KEYWORDS

Analytic hierarchy process (AHP), principal component analysis, fuzzy evaluation, error sensitivity analysis

CITE THIS PAPER

Zhiyu Chen, Research on Fire Alarm System. Advances in Computer, Signals and Systems (2022) Vol. 6: 65-72. DOI: http://dx.doi.org/10.23977/acss.2022.060212.

REFERENCES

[1] Zhu Xiaoqin. Design case analysis of automatic fire alarm system [J]. Application of integrated circuit Use, 2021, 38(10):216-217.
[2] Wang Jie. Reliability analysis and application efficiency evaluation of fire detection and alarm system [J]. Industry and Technology Forum, 2020,19(10):78-79.
[3] Zou Fangyong. Highly sensitive fire detector [J].Fire Science and Technology, 2006(06):761.
[4] Fan Zhenhao. Research on fire risk assessment of ancient buildings based on multi-level extension method [D]. Dalian Transportation University,2019.
[5] Cheng Langtao. Design and research of intelligent fire alarm system in chemical plant [J]. Salt Science and Chemistry Engineering, 2018, 47(10):41-44.

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