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
袁晓琴 1杨潇 1成杰1
作者信息
- 1. 中国水利水电第九工程局有限公司,贵州 贵阳 550081
- 折叠
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.
Abstract
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Key words
voice recognition/photovoltaic engineering/safety management引用本文复制引用
出版年
2024
NETL
NSTL
万方数据