基于振动特征边缘提取的电缆外力扰动智能感知技术

Intelligent Sensing Technology of Cable External Force Disturbance Based on Vibration Feature Edge Extraction

基于微型传感技术、嵌入式边缘计算和LoRa物联网,提出了一种新型的电缆外力扰动分布式监测技术。并针对LoRa数据传输的低密度、窄带宽要求,基于振动信号的时频特征,提出了一种精简化的特征集、状态集和控制集的单包数据装载方法。通过试验初步获得了电缆振动特征集的典型范围,为建立基于物联网窄带通信方式的电缆外力扰动智能预警系统提供了基础。

Based on micro-sensing technology,embedded edge computing and LoRa Internet of Things,a new distributed monitoring technology for cable external force disturbance is proposed. For the low density and narrow bandwidth requirements of LoRa data transmission,a simplified singlepacket data loading method of feature set,state set and control set is proposed based on the time-frequency characteristics of the vibration signal. The typical range of the cable vibration feature set is obtained through experiments,which provides a foundation for the establishment of the intelligent early warning system for cable external force disturbance based on the narrowband communication mode of the Internet of Things.