应用于光缆外破监测的雨水信号识别

Identification of rainwater signal for external damage monitoring of fiber optic cable

针对分布式光缆防外破监测系统易受降雨振动影响造成系统误报,干扰系统正常运行的问题,文章通过搭建一套分布式外破监测系统用于采集信号,并分析雨水信号与人工光缆作业、机械施工信号的时域与频域特征差异,研究雨水信号识别的可行性,以期分辨出降雨信号,排除干扰。结果表明:雨水信号在低频段区间强度高,在高频段强度低,随着频率增高强度呈明显下降趋势。雨水信号特征在影响范围、频谱特征等方面均与人工光缆作业和机械施工存在较大差异。因此,可通过对雨水信号进行识别,减少外破监测系统误报率。

Aiming at the problem that the distributed optical cable anti-breakage monitoring system is susceptible to rainfall vibration,which causes system false alarm and interferes with the normal operation of the system,a set of distributed external damage monitoring system is built to collect signals in this paper.In order to distinguish rain signal and eliminate interference,the distinguishing characteristics of rainwater signal,artificial optical cable operation and mechanical construction signal in time domain and frequency domain are analyzed,and the feasibility of rainwater signal identification is studied.The results show that the intensity of the rain signal is high in the low frequency range and low in the high frequency range.The intensity of the rain signal decreases with the increase of frequency.Rainwater signal characteristics are quite different from artificial optical cable operation and mechanical construction in terms of influence range and frequency spectrum characteristics.Therefore,by identifying the rain signal,the false alarm rate of the external damage monitoring system can be reduced.