Author(s)

Minghui Fan ¹, Shixing Han ¹

Affiliation(s)

¹ College of Engineering, Tibet University, Lhasa, China, 850000

Corresponding Author

Minghui Fan

ABSTRACT

Nowadays, the problem of false alarms in fire alarm systems when no fire has occurred is increasingly becoming a problem that plagues the reliable operation of building fire alarm systems. Therefore, this paper conducts an in-depth study of this problem based on fuzzy neural network model. In this paper, we use the frequency of fires, component failure rate, component reliability, and component false alarm rate as indicators to establish a fuzzy neural network-based management evaluation model, and use fuzzy neural network topology and related algorithms to solve the problem, and finally propose a plan: for M brigade, we can consider replacing fire alarm components with higher reliability; for G brigade, the frequency of fires in the area is low, and we need to strengthen the management For I brigade, we can consider replacing the fire alarm components with higher reliability, while achieving a balance with the reliability of the components. We combine the conclusions obtained from the problem and propose six more reasonable and scientific recommendations for the management and maintenance of each component of the fire alarm system.

KEYWORDS

Fuzzy neural network, fire alarm, detector evaluation, management and maintenance

CITE THIS PAPER

Minghui Fan, Shixing Han, Research on integrated regional fire management evaluation based on fuzzy neural network. Advances in Computer, Signals and Systems (2022) Vol. 6: 49-55. DOI: http://dx.doi.org/10.23977/acss.2022.060210.

REFERENCES

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[2] Wang Hui. Optimization and application of commissioning method for automatic fire alarm system[J]. Intelligent Building and Smart City,2022(02):138-142. 
[3] Yin Haodong, Hu Guangzhong, Zhang Lingyu, Yu Jie. Design of EDM wire-cutting machine based on AHP-entropy power method[J]. Packaging Engineering,2022,43(06):125-133. 
[4] Ren Xiaodan, Ma Weizhen, Wen Haiyan, Qi Qian. Application of greenness evaluation of temporary construction facilities based on fuzzy object element model[J]. Construction Economics,2021,42(06):111-115. 
[5] Xu Shaokui, Zuo Yifan, Zhang Mu. Research on the evaluation of tourism ecological security and diagnosis of obstacle factors in China based on fuzzy object element model[J]. Geoscience, 2021,41(01):33-43.

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