基于声音识别技术的发射台站自动报警系统

Automatic Alarm System of Launch Station Based on Voice Recognition Technology

为实现对发射台站设备异常状况的实时监控与智能预警,研究一种基于声音识别技术的发射台站自动报警系统。该系统采用先进的声音识别算法,结合深度学习模型,对采集的声音信号进行预处理、识别与异常检测。实验结果显示,该系统在多种运行状态下均表现出高准确率与快速响应,尤其在冷却系统异常检测上效果显著。

In order to realize the real-time monitoring and intelligent early warning of the abnormal conditions of the launch station equipment,an automatic alarm system based on voice recognition technology is studied.The system uses advanced sound recognition algorithm combined with deep learning model to pre-process,identify and detect the anomalies of the collected sound signals.The experimental results show that the system has high accuracy and fast response in various operating states,especially in the abnormal detection of cooling system.