摘要
智能视觉健康监测系统结合了深度相机及摄影测量原理,并使用先进的深度神经网络方法进行提升和改进,使用两台或多台相机从各方向对蒸汽管道上的同一观测目标进行拍摄,基于深度神经网络进行图像处理,可实现蒸汽管道三维位移的精准监测。
This system combines the principle of depth camera and photogrammetry,and uses advanced depth neural network method to improve and improve.Two or more cameras are used to shoot the same observation target on steam pipeline from all directions.Image processing based on depth neural network can realize accurate monitoring of three-dimensional displacement of steam pipeline.
出处
《电力系统装备》
2021年第8期45-46,共2页
Electric Power System Equipment
关键词
四大管道
健康监测
神经网络
深度学习
位移监测
four major pipelines
health monitoring
neural network
deep learning
displacement monitoring
