False alarm judgment method based on dynamic and static mixed data analysis:  for building BIM operation and maintenance platforms

doi:10.16265/j.cnki.issn 1003-3033.2021.11.023

Abstract

Abstract: In order to address the great inconvenience caused by frequent occurrence of false fire alarm messages to the construction operation and maintenance work, a judgement method of false alarms based on dynamic and static mixed data analysis was proposed by utilizing advantages of data resources of BIM operation and maintenance platforms. Firstly, building on the research and analysis on building fire risks and causes of false alarms, parameters of the space where alarm points belonged, including temperature, smoke concentration, and CO concentration were obtained from building Internet of things to form a dynamic data set, and optimized BP neural network by genetic algorithm(GA-BP) was used to analyze the data set so as to obtain probability of open fire in building space. Then, spatial position of alarm points and building materials' parameters were extracted from BIM model to form a static data set, and the proposed fuzzy Bayesian network was applied to evaluate fire risk probability of the space. Finally, values of the two probability were weighted and merged to obtain probability of fire in the space where alarm points were located, and then that of false alarm was deduced. The results show that this method can decide false fire alarm probability of BIM operation and maintenance platforms, and provide a basis for related personnel to make a decision.

Key words: dynamic and static mixed data, false fire alarm, building information model (BIM), operation and maintenance platform, genetic algorithm-BP (GA-BP)

CLC Number:

X924.3

ZOU Rongwei, YANG Qiliang, XING Jianchun, LI Suliang, CHEN Wenjie, KONG Linlin. False alarm judgment method based on dynamic and static mixed data analysis: for building BIM operation and maintenance platforms[J]. China Safety Science Journal, 2021, 31(11): 163-170.

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False alarm judgment method based on dynamic and static mixed data analysis: for building BIM operation and maintenance platforms

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