对埋地管道防护层进行现场测试 ,以连续小波变换提取正弦电流激励响应中特定频率的信息 ,建立了Ko hoen神经网络方法评价防护层状态的适合于现场检测的智能模型 ,并对埋地模拟管道及大港油田港沧输气管线管道防护层状态进行判断 ,验证了方法的准确性 The buried pipeline protective layer was tested in the field. The continuous wavelet transform was used to extract the information of the specific frequency in the sinusoidal current excitation response. The Ko hoen neural network method was established to evaluate the status of the protective layer. The intelligent model suitable for on- Pipeline and Dagang Oilfield Hong Kong Cang pipeline gas pipeline protection state to verify the accuracy of the method