基于迈克尔逊干涉和图像识别的高压电缆防外破监测预警系统

Monitoring and Warning System of Power Cable External-damage Prevention Based on Michelson Interference and Image Recognition

城市建设高峰伴随着大量市政施工,对高压电缆的安全运行造成极大外破压力,研究防外破监测预警系统代替人工巡视具有重大意义。基于迈克尔逊干涉光纤振动传感原理,结合图像识别技术设计搭建了一套光纤振动源防外破监测预警系统。该系统以光纤作为传感器监测振动信号,同时联动监控球机拍摄现场照片进行图像识别,实现了对电缆通道保护范围内振动源的高灵敏度、高准确率外破预警和视觉定位。

Massive municipal construction in urban construction peak brings external damage to operation security of high-voltage cables.Therefore,it is of great significance to study the substitution of a monitoring and warning system of power cable external-damage prevention for manual inspection.Based on the principle of Michelson interference optical fiber vibration sensing combined with image recognition,an optical fiber vibration source monitoring and warning system for external damage prevention is designed and built.The system uses optical fiber as a sensor to monitor the vibration signal,and meanwhile starts the monitoring dome camera to take photos of the scene for image recognition,enabling external damage warning of vibration source with high sensitivity and accuracy as well as visual positioning in the protected area of cable channel.