声音提示技术在中波发射台天馈线系统维护中的应用  

Application of Sound Prompt Technology in Maintenance of Medium Wave Transmitting Station Antenna Feeder System

作　　者：李金鹏 LI Jinpeng(Inner Mongolia Autonomous Region Radio and Television Transmission and Transmission Center Ulanhot 825,Ulanhot 137400,China)

机构地区：[1]内蒙古自治区广播电视传输发射中心乌兰浩特825台,内蒙古乌兰浩特137400

出　　处：《电声技术》2025年第2期163-165,共3页Audio Engineering

摘　　要：为提升中波发射台天馈线系统的维护效率与作业安全性,探讨声音提示技术在该领域的应用。通过融合多传感器数据、机器学习算法及语音合成技术,实现中波发射台天馈线系统状态的实时监测、故障诊断与远程协作。研究表明,应用声音提示技术能够显著缩短故障诊断时间,降低安全事故发生率,提高维护工作的智能化水平。In order to improve the maintenance efficiency and operation safety of the antenna feeder system of medium wave transmitting station,the application of sound prompt technology in this field is discussed.By integrating multi-sensor data,machine learning algorithm and speech synthesis technology,the real-time monitoring,fault diagnosis and remote cooperation of the antenna feeder system of medium wave transmitting station are realized.The research shows that the application of sound prompt technology can significantly shorten the fault diagnosis time,reduce the incidence of safety accidents,and improve the intelligent level of maintenance work.

关 键 词：声音提示技术 天馈线系统 故障诊断 

分 类 号：TN81[电子电信—信息与通信工程]