声音识别技术在光伏工程安全管理中的应用  

Application of Voice Recognition Technology in the Safety Management of Photovoltaic Engineering

作　　者：袁晓琴 杨潇 成杰 YUAN Xiaoqin;YANG Xiao;CHENG Jie(China Hydroelectric Engineering Bureau No.9 Co.,Ltd.,Guiyang 550081,China)

机构地区：[1]中国水利水电第九工程局有限公司,贵州贵阳550081

出　　处：《电声技术》2024年第12期7-9,共3页Audio Engineering

摘　　要：针对光伏工程安全管理中的难点问题,研究声音识别技术的应用方案。通过部署高灵敏度声音传感器网络,结合深度学习算法实现设备故障预警、施工现场监控、应急指挥。案例研究表明,该技术在故障诊断准确率、违规行为识别、安全隐患发现等方面具有显著优势,可有效提高光伏工程安全管理水平。Aiming at the difficult problems in safety management in photovoltaic engineering,the application scheme of voice recognition technology is studied.By deploying high-sensitivity acoustic sensor network and combining with deep learning algorithm,equipment fault early warning,construction site monitoring and emergency command are realized.The case study shows that this technology has obvious advantages in fault diagnosis accuracy,illegal behavior identification and potential safety hazards discovery,which can effectively improve the safety management level of photovoltaic engineering.

关 键 词：声音识别 光伏工程 安全管理 

分 类 号：TM76[电气工程—电力系统及自动化]