基于声音识别的风电建设工程安全管理技术  

Sound Recognition Based Safety Management Technology for Wind Power Construction Projects

作　　者：张小飞 ZHANG Xiaofei(Huaneng Yunnan Diandong Energy Co.,Ltd.,Wind Power Branch,Kunming 650000,China)

机构地区：[1]华能云南滇东能源有限责任公司风电分公司,云南昆明650000

出　　处：《电声技术》2024年第12期10-12,共3页Audio Engineering

摘　　要：探讨声音识别技术在风电建设工程安全管理中的应用,通过设备状态监测、故障预警、安全行为监管等手段,提高安全管理效率。基于高灵敏度拾音器和深度学习模型,实现了风机设备的故障诊断和人员行为管控。应用案例显示,利用声音识别技术显著提高了风电场安全管理水平,缩短了故障停机时间,降低了人力成本,为风电工程安全管理提供了切实可行的智能化解决方案。This paper discusses the application of voice recognition technology in the safety management of wind power construction projects,and improves the efficiency of safety management by means of equipment status monitoring,fault early warning and safety behavior supervision.Based on high-sensitivity pickup and deep learning model,the fault diagnosis and personnel behavior control of fan equipment are realized.The application case shows that the application of voice recognition technology can significantly improve the safety management level of wind farm,shorten the downtime and reduce the labor cost,which provides a practical and intelligent solution for the safety management of wind power engineering.

关 键 词：声音识别 风电建设 安全管理 

分 类 号：TM315[电气工程—电机]