Research on Early Fire Monitoring Based on Deep Learning
In order to reduce the fire harm,it is necessary to quickly monitor the fire risk.The mathematical model is studied based on deep-learning algorithms,designing a fire feature detection based on Python platform.CNN network is built to identify the early fire pic-ture,extract flame features through Python,and select the feature index with good identification performance for the training of Res-Net50 network model.An early fire monitor system is established,conducting experimental simulation analysis.