[1]PAN Gang.The Developing Tendency of Fire Detection/Alarm Technology[J].Fire Science and Technology,2002,21(1):29-30,38.

[2]Dan,Tangren,Zhu,Shukun,Sun,Hongzhi.ARTIFICIAL INTELLIGENCE FIRE ALARM CONTROL TECHNOLOGY[J].Studio Classroom,1998(1):54-57.

[3]REN Jia-Feng,XIONG Wei-Hu,WU Zhi-Hao and JIANG Ming.基于改进YOLOv3的火灾检测与识别[J].Computer Systems& Applications,2019,28(12):171-176.

[4]包顺强,谢文黎,唐平,甘招辉.电气消防技术在上海世博会主题馆中的应用[J].机电一体化,2010,16(4):13-17.

[5]XU Qian,LI Qiu-hua.Applied analysis of the extreme early fire detection system[J].Fire Science and Technology,2004,23(2):154-156.

[6]Yin Changsong.The Application of Light Scattering for Smoke Detection[J].Chinese Journal of Light Scattering,1996,8(1):42-45.

[7]Wang Xinfang.Discussion on Air-sampling Early Smoke Detection and Alarm System in Communication Equipment Room[J].Building Electricity,2012,31(5):26-29.

[8]Zhao Huawei,Zhang Yanwei,Bai Shijun.吸气式烟雾探测报警技术在地铁中的适用性[J].Urban Rapid Rail Transit,2009,22(3):39--42.

[9]Wang Letian etc.The Intelligent and Integrated Smoke and Heat compound Fire Alarm System-Sheng hua SH9400[J].Fire Science and Technology,1999(2).

[10]He Yu,Li Dan.Real-time subway ridership detection based on YOLOv5 and DeepSort[J].Electronic Test,2022(2):46-48.

[11]Liu Guozai etc..The Pipeline Flow Property of the HFC-227ea[J].Fire Science and Technology,2001(2):27-28.

[12]Deng Zhao.Experiences on the Compilation and Application of Code of Design on Tobacco Buildings Fire Protection and Prevention[J].Building Electricity,2010,29(10):10-13.

[13]ZHANG Liguo,ZHANG Qi,JIN Mei,YUAN Yulin,WANG Hongfeng.一种改进YOLOv5s的森林火灾烟雾检测算法[J].Acta Metrologica Sinica,2024,45(9):1314-1323.

[14]DU Chen,WANG Xing,DONG Zengshou,WANG Yilei,JIANG Zhonghao.改进YOLOv5s的地下车库火焰烟雾检测方法[J].Computer Engineering and Applications,2024,60(11):298-308.

[15]MA,Qinglu,SUN,Xiao,TANG,Xiaoyao,LU,Jiaping,DUAN,Xuefeng.基于改进YOLOv5s算法的隧道初期火灾检测模型[J].China Safety Science Journal,2023,33(10):214-223.

[16]WANG Yixu,XIAO Xiaoling,WANG Pengfei,XIANG Jiafu.改进YOLOv5s的小目标烟雾火焰检测算法[J].Computer Engineering and Applications,2023,59(1):72-81.

[17]ZHAO Zuoxi,WEI Hongfei,HUANG Yuan,HUANG Xingbiao,MI Yalong,LUO Yangfan.基于改进YOLOv7的破壳鸡蛋在线实时检测系统[J].Transactions of the Chinese Society of Agricultural Engineering,2023,39(20):255-265.

[18]Rui-qing WANG;Hui-qin WANG;Ke WANG.融合细节特征与混合注意力机制的火灾烟雾检测[J].Chinese Journal of Liquid Crystals and Displays,2022,37(7):900-912.

[19]CHENG Shu-hong,MA Ji-yong,ZHANG Shi-junZHANG Dian-fan.改进的混合高斯与YOLOv2融合烟雾检测算法[J].Acta Metrologica Sinica,2019,40(5):798-803.

[20]Luo Qingli,Wang Jiaxu,Kan Wei,Zeng Zhoumo.改进YOLOv5s的烟火检测方法[J].Journal of Electronic Measurement and Instrument,2025,39(10):134-141.