首页|基于深度学习的超声波细水雾灭火技术研究

基于深度学习的超声波细水雾灭火技术研究

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

deep learningultrasonicfine water mist

时迎华、张帅

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兖矿能源集团股份有限公司东滩煤矿,山东 邹城 273500

深度学习 超声波 细水雾

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(9)
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