Parameter identification and prediction method for fire growth period of highway tunnel

A technology of parameter identification and highway tunnel, applied in prediction, neural learning method, data processing application, etc., can solve the problems of insufficient analysis of prediction methods and inability to identify the growth trend of fire source information in time, so as to improve the ability of disaster prevention and mitigation, Reliability and feasibility good results

Pending Publication Date: 2022-07-12
CHONGQING JIAOTONG UNIVERSITY
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Problems solved by technology

[0004] In view of this, in order to solve the problem that the existing tunnel fire prediction methods do not fully analyze and utilize a large amount of data generated by various monitoring equipment in the tunnel under fire conditions, and cannot identify fire sourc

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  • Parameter identification and prediction method for fire growth period of highway tunnel
  • Parameter identification and prediction method for fire growth period of highway tunnel
  • Parameter identification and prediction method for fire growth period of highway tunnel

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[0057] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic idea of ​​the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict. Among them, the accompanying drawings are only used for exemplary description, and represent only schematic diagrams, not physical drawings, and should not be construed...

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Abstract

The invention relates to a highway tunnel fire growth period parameter identification and prediction method. The method comprises the following steps: S1, selecting a fire source model in a tunnel fire growth period; s2, determining fire source model parameters in a tunnel fire growth period; s3, establishing a tunnel fire growth period FDS numerical simulation model and setting working conditions; s4, establishing a tunnel fire growth period observation database; s5, labeling and normalizing the data in the tunnel fire growth period; s6, establishing an LSTM neural network model for tunnel fire source growth-stage parameter identification and prediction; s7, LSTM neural network model training of tunnel fire source growth stage parameter identification and prediction; and S8, performing parameter identification and prediction performance analysis in a tunnel fire source growth period. The problems that an existing tunnel fire disaster prediction means cannot fully analyze and utilize a large amount of data generated by various monitoring devices in a tunnel under the fire disaster working condition, fire source information cannot be recognized in time, the growth situation of the fire source information cannot be predicted, and decision service cannot be provided for personnel safety evacuation and fire rescue are solved.

Description

technical field [0001] The invention belongs to the technical field of tunnel fire safety, and relates to a method for identifying and predicting parameters of a road tunnel fire growth period. Background technique [0002] Fires in highway tunnels are extremely harmful. Once they occur, they can easily cause traffic paralysis, interruption of trade and logistics, and even cause mass deaths and injuries, resulting in bad social repercussions. At present, fire prevention methods in highway tunnels mainly include remote monitoring, monitoring and alarming, ventilation and smoke exhausting, and firefighters entering the tunnel to carry out fire fighting. However, these prevention measures do not take into account the fire growth period, and are mostly concentrated in the stable development stage of the fire. The growth period of highway tunnel fires has not been paid enough attention as the "golden time" for personnel evacuation and fire rescue. [0003] Due to the relatively...

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08G06Q10/04G06F111/10G06F119/08
CPCG06F30/27G06Q10/04G06N3/08G06F2119/08G06F2111/10G06N3/044
Inventor 徐湃李亮亮朱代强郑体鹏林贝贝叶新财
Owner CHONGQING JIAOTONG UNIVERSITY
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