实验科学与技术2023，Vol.21Issue(6)：36-40,5.DOI:10.12179/1672-4550.20220667
古建筑烟火检测智能识别系统设计与实现
Design and Implementation of an Intelligent Identification System for Ancient Building Fireworks Detection
摘要
Abstract
In order to detect fires in ancient buildings,a device for automatic smoke and fire detection and recognition based on the improved YOLO algorithm instead of human and traditional sensors is designed and analyzed around the clock.FPN is utilized to solve the problem of the existence of small flames that are not easy to be detected in ancient buildings,and a flame detection system is established on the basis of the CNN model.In order to improve the accuracy of detection and reduce the probability of false alarms,electronic sensors are inserted into this system in order to further detect signals such as temperature and smoke.The experimental results show that the improved algorithm model improves the accuracy and real-time performance of fire detection,and the recognition accuracy can reach more than 96％.关键词
火灾检测/深度学习/YOLO算法/小目标检测Key words
fire detection/deep learning/YOLO algorithm/small target detection分类
信息技术与安全科学引用本文复制引用
任铄琦,王婷,杨孜豪,李哲,李必飞..古建筑烟火检测智能识别系统设计与实现[J].实验科学与技术,2023,21(6):36-40,5.基金项目
兰州交通大学大学生创新训练计划项目(DC2210732CX0405,CXXL20230140,CXXL20230141). （DC2210732CX0405,CXXL20230140,CXXL20230141）
