Research and Application of Key Technologies for Detection of Anti-corrosion Layer of Buried Steel Pipeline
In this paper,the research and application of the key technology of corrosion protection layer detection for buried steel pipeline are discussed.Firstly,the importance of the anticorrosive layer is described,and the possible problems such as damage and aging are analyzed.Then the existing detection methods,such as electrochemistry,pulsed eddy current,ultrasonic,etc.are reviewed,and a detection scheme based on machine learning and artificial intelligence is proposed.The scheme includes high-precision data acquisition,deep learning algorithms and intelligent diagnosis technology.Non-contact data acquisition by laser scanning and HD cameras,image data analysis by convolutional neural networks,and classification and evaluation by support vector machines.It provides the basis for pipeline maintenance and has important significance for the safe operation of urban infrastructure.