基于深度学习的超声波细水雾灭火技术研究  

Research on Ultrafine Water Mist Fire Extinguishing Technology Based on Deep Learning

作　　者：时迎华 张帅 SHI Yinghua;ZHANG Shuai(Dongtan Coal Mine of Yankuang Energy Group Company Limited,Zoucheng 273500,China)

机构地区：[1]兖矿能源集团股份有限公司东滩煤矿,山东邹城273500

出　　处：《电声技术》2024年第9期31-34,共4页Audio Engineering

摘　　要：为提高超声波细水雾灭火的精准性和有效性,提出一种基于深度学习的超声波细水雾灭火方法。该方法综合运用超声波频率调制、相控阵及能量聚焦等技术,实现智能化、精准化的灭火效果。实验结果表明,该方法能够快速、有效地扑灭不同类型的火灾,在降温速率、抑制燃烧等方面显著优于传统细水雾灭火方法,为火灾扑救提供了一种全新的解决方案。To improve the accuracy and effectiveness of ultrasonic water mist fire extinguishing,a deep learning based ultrasonic water mist fire extinguishing method is proposed.This method comprehensively utilizes technologies such as ultrasonic frequency modulation,phased array,and energy focusing to achieve intelligent and precise fire extinguishing effects.The experimental results show that this method can quickly and effectively extinguish different types of fires,and is significantly superior to traditional water mist fire extinguishing methods in terms of cooling rate and suppression of combustion,providing a new solution for fire extinguishing.

关 键 词：深度学习 超声波 细水雾 

分 类 号：TU998.1[建筑科学—市政工程]