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声波灭火技术是一种通过干扰燃烧过程实现抑制火焰的新兴环保灭火方法，近年来在国内外开展了大量理论和实验研究，并已衍生出基于声学原理的灭火装置。尽管其灭火效能尚不及传统灭火技术，但凭借其无污染、无损、无需储存及应用便捷等优势，对其研究和探索仍在不断深化中。本研究以近年来声波灭火技术的发展现状为主要内容，对声波灭火机制与影响因素、技术研究与开发现状加以总结并展望，并介绍了声波灭火技术与无人机和人工智能结合方面的研究，以及在森林火灾场景中的若干应用尝试。
Abstract：The acoustic-based firefighting technology is an emerging eco-friendly firefighting method that inhibits flames by interfering with the combustion process. In recent years, extensive theoretical and experimental research has been conducted both domestically and internationally, leading to the development of fire suppression devices based on acoustic principles. Although its fire suppression effectiveness is still not comparable to that of traditional firefighting technologies, its advantages—such as being pollution-free, non-destructive, requiring no storage, and offering ease of application—have driven continuous research and exploration in this field. This study focuses on the recent developments in sound wave fire suppression technology, the mechanisms and influencing factors of sound wave fire suppression, as well as the current state of technological research and development were summarized and discussed. Additionally, research on the integration of acoustic firefighting technology with drones and artificial intelligence, along with several application attempts in forest fire scenarios was introduced.
[1]KHAN A,KHAN M,LEUNG K,et.al.A review of critical fire event library for buildings and safety framework for smart firefighting[J].International Journal of Disaster Risk Reduction,2022,83:103412.
[2]CTIF.World Fire Statistics Report No. 29[EB/OL].(2024-06-17)[2025-10-27].https://www.ctif.org/world-fire-statistics.
[3]李亮,史腊梅,白毛伟,等.森林火灾火爆爆燃认知与防范[J].森林防火,2024,42(04):85-88.
[4]彭华福.森林防灭火项目总体规划编制要点研究[J].森林防火,2024,42(03):16-19.
[5]高雅莉.森林防火应急科普传达有效性研究与建议[J].森林防火,2024,42(04):18-21.
[6]彭华福,杨诺.我国林业产业高质量发展策略研究[J].林产工业,2023,60(08):84-86.
[7]张子阳,姚利宏,贾洪磊,等.农林废弃物在防风固沙中的应用研究[J].林产工业,2023,60(02):88-92.
[8]赵雪,张建哲,崔莉.生态银行大数据平台赋能森林资源信息管理研究[J].林产工业,2024,61(01):87-92.
[9]王丽霞,夏雪,高凡,等.深度学习在森林火灾检测中的研究进展[J].林产工业,2023,60(11):88-92.
[10]BANKS R E,CLARKE E K,JOHNSON E P,et al.Environmental aspects of fluorinated materials:part 31:comparative life-cycle assessment of the impacts associated with fire extinguishants HFC-227ea and IG-541[J].Process Safety&Environmental Protection,1998,76(03):229-238.
[11]PETROVIC N,ALDERSON D L,CARLSON J M,et al.Dynamic resource allocation in disaster response:tradeoffs in wildfire suppression[J].Plos One,2012,7(04):e33285.
[12]SHI X Y,TIAN Z J,LU Y,et al.Research status and progress of acoustic fire extinguishing technology[J].Fire,2025,8(04):129.
[13]张玉杰.声波扰动下木材燃烧及火焰熄灭特性研究[D].西安:西安科技大学,2022.
[14]XIONG C,LIU Y,XU C,et al.Acoustical extinction of flame on moving firebrand for the fire protection in wildland–urban interface[J].Fire Tec hnology,2021,57(03):1365-1380.
[15]郑英超.声波影响燃烧的物理机理研究[D].保定:华北电力大学(保定),2012.
[16]李颂文.声透镜波束形成技术[J].声学技术,2007,26(05):771-774.
[17]祝雪丰,陈卓,曾龙生,等.基于声学人工透镜的超分辨聚焦[J].物理实验,2023,43(10):1-16.
[18]唐毅泉,舒霞云,常雪峰,等.扇形谐振腔亚波长声聚焦的声泳喷印装置设计[J].声学技术,2025, 44(01):74-80.
[19]欧艳萍.声波灭火的关键技术及装置研究[D].湘潭:湖南科技大学,2022.
[20]GHOSALKAR V,RAO G,SHITOLE A,et al.Innovative acoustic wave fire suppression system for portability[C].International Conference on Emerging Electronics and Automation,Singapore,2023.
[21]唐甜甜,李翠玉.基于住宅区火灾的消防声波无人机设计[J].机械设计,2020,37(S1):48-50.
[22]WIKL-JAKUBOWSKI J,STAWCZYK P,IVANOV S,et al.The using of deep neural networks and natural mechanisms of acoustic wave propagation for extinguishing flames[J].International Journal of Computational Vision and Robotics,2022,12(02):101-119.
[23]KARTHI S,VENNILAVU P M,SOWMIYA S B,et al.Acoustic wave based forest fire extinguisher and detection[J].International Journal of Creative Research Thoughts(IJCRT),2023,11(04):323-328.
[24]WADE J T.An engineered system for suppression of large-scale wildfires[D].USA:University of South Alabama,2020.
[25]Sonic Fire Tech.[EB/OL].[2025-10-27].https://sonicfiretech.com/#form.
[26]Dryad Networks.Dryad Networks demonstrates first fully functional drone prototype for detecting, locating and monitoring wildfires[EB/OL].(2025-03-28)[2025-10-27].https://www.geoconnexion.com/indepth/dryad-networks-demonstrates-first-fully-functional-droneprototype-for-detecting-locating-and-monitoring-wildfires.
基本信息:
中图分类号:S762.3
引用信息:
[1]刘筱璐,兰旭,张健.声波灭火技术在森林火灾防控中的应用进展研究[J].森林防火,2025,43(06):19-22.
基金信息:
国家消防救援局科技计划项目“森林和草原大范围火灾监测预警关键技术研究”（2020XFZD12）