Application of FDS-based fuzzy neural network fire suppression model to civil aviation fires
Civil aviation fires have high risks and serious consequences,therefore an effective firefighting model is needed to im-prove the efficiency of firefighting strategies and rescue operations.This study used fire dynamics simulation software for civil aviation fire simulation and constructed a fire extinguishing model using fuzzy neural networks.By collecting and analyzing data and experi-mental results related to civil aviation fires,FDS is used to simulate different fire scenarios,and the parameters of the fuzzy neural network fire extinguishing model are optimized.The results show that the model performs well on the training set,with a mean square error of 0.001.As the number of samples increases,the lowest error is 1.994％.The fire simulation revealed the distribution of oxy-gen concentration and temperature,emphasizing the uneven distribution of oxygen and high-temperature areas.This model has good application prospects in evaluating fire situations and guiding firefighting measures,which can improve the firefighting efficiency and safety of civil aviation fires.
FDSfuzzy neural networkfire simulationfire control
NETL
NSTL
万方数据
