基于声音识别技术的煤矿瓦斯抽采施工安全监测方法设计  

Design of Safety Monitoring Method for Coal Mine Gas Extraction Construction Based on Voice Recognition Technology

作　　者：蒋文利 JIANG Wenli(Shandong Energy Group South American Mining Company,Zoucheng 273500,China)

机构地区：[1]山东能源集团南美地矿公司,山东邹城273500

出　　处：《电声技术》2024年第11期45-47,共3页Audio Engineering

摘　　要：提出一种基于声音识别技术的煤矿瓦斯抽采施工安全监测方法。通过麦克风阵列采集施工现场的声音信号,采用深度学习算法识别异常声音事件。实验结果表明,该方法能够有效识别瓦斯泄漏声和岩层破裂声等,结合多源数据融合技术,实现了高精度的安全监测与预警,为煤矿瓦斯抽采施工安全提供了可靠保障。A safety monitoring method of coal mine gas drainage construction based on voice recognition technology is proposed.The sound signal of the construction site is collected by microphone array,and the abnormal sound events are identified by deep learning algorithm.The experimental results show that this method can effectively identify gas leakage sound and rock fracture sound,and realize high-precision safety monitoring and early warning by combining multi-source data fusion technology,which provides a reliable guarantee for the safety of coal mine gas drainage construction.

关 键 词：声音识别 煤矿瓦斯 安全监测 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]