Multi-target fire scene temperature prediction method based on distributed optical fiber temperature measurement

Abstract

The invention discloses a multi-target fire scene temperature prediction method based on distributed optical fiber temperature measurement, and the method comprises three parts: building a space fire scene temperature database, collecting actual fire scene temperature data, and predicting the fire scene multi-target temperature, and specifically comprises the following steps: in the building part of the space fire scene temperature database, according to the building type of a target and a related scene, carrying out the data collection of the actual fire scene temperature data; collecting different space sizes and ventilation opening sizes of each target building type to establish a building space information model; then FDS simulation is carried out; extracting region and plane temperature data related to personnel evacuation, fire risk and structural safety from a simulation result, and establishing a space fire scene temperature database after integration to provide a data basis for fire scene multi-target temperature prediction; in the actual fire scene temperature data acquisition part, real-time air temperatures at the ceiling height and the human body characteristic height range are determined; in the fire scene multi-target temperature prediction part, a multi-target temperature prediction model is established, so that fire scene whole-process early warning monitoring feedback is realized.

Description

technical field [0001] The invention relates to the field of fire temperature prediction, in particular to a multi-target fire temperature prediction method based on distributed optical fiber temperature measurement. Background technique [0002] Since building fires have adverse impacts on building structures, personnel life and property safety, and social stability, the research and development of urban fire monitoring and early warning and emergency rescue technology and equipment has always been the research frontier in the field of fire protection. Although the current traditional fire detection systems such as smoke and temperature can detect temperature and have location tags, due to the limited number of measuring points, it is difficult to collect, present and predict detailed data in the whole process and space of fire rescue and evacuation, so it is impossible Effectively provide accurate basis for rescue and evacuation decision-making and structural fire safety. ...

AI Technical Summary

Problems solved by technology

[0009] However, the data collected by the early warning system are all obtained by point temperature sensors. Although the early warning differences of different space position sensors are considered, the lack of data collection capabilities for the whole process and the whole space of the fire scene, the temperature field in terms of personnel evacuation and structural safety Insufficient predictive power

[0010] To sum up, no inventions have been found on the "multi-target fire temperature prediction method based on distributed optical fiber temperature measurement"

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