摘要
无线调频广播监测系统正经历从传统模拟方式向网际互连协议(Internet Protocol,IP)架构的转型。多节点远程集中监控场景对数据传输时效与故障响应速度提出了更高的要求。研究基于IP架构的无线调频广播监测报警技术,探讨分布式监测系统的组网模式与数据汇聚机制,采用梅尔频率倒谱系数进行音频特征提取,结合支持向量机构建故障分类模型,实现对停播静音、音频失真、电平异常及串台混音等状态的自动识别与告警。测试结果验证了所提方案在故障识别准确率与报警响应时效方面的有效性。
Wireless frequency modulation radio monitoring systems are transitioning from analog methods to Internet Protocol(IP)architectures.Multi-node remote centralized monitoring demands higher data transmission efficiency and faster fault response.This paper investigates monitoring and alarm technology for wireless frequency modulation radio under IP architecture,analyzes networking modes and data aggregation mechanisms,extracts audio features using Mel-frequency cepstral coefficients,and constructs a fault classification model based on support vector machine for recognizing radio interruption,audio distortion,level anomaly and channel crosstalk.Tests verified the effectiveness of the proposed scheme in fault identification and alarm response.
作者
庞载宁
PANG Zaining(Nanning Branch of Guangxi Radio and Television Technology Center,Nanning 530031,China)
出处
《音视频工程与应用》
2026年第1期84-86,共3页
Audio and Video Engineering
关键词
网际互连协议(IP)架构
无线调频广播
监测报警
音频特征提取
Internet Protocol(IP)architecture
wireless frequency modulation radio
monitoring and alarm
audio feature extraction
