Pipeline Damage Monitoring Cloud System Based on Ultrasonic Guided Waves
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摘要: 为解决实际管道在导波检测中，微小缺陷信号会被复杂结构的特征回波淹没而造成漏检的问题，针对影响监测信号的外界因素，提出了有效的预处理方法，并开展了对时域差值分析监测算法的理论研究，指出运用该算法提取微小缺陷特征的可行性。通过搭建磁致伸缩超声导波的管道损伤远程监测云平台，实现了自动化、数字化、智能化的管线在线监测，并通过试验得到管道腐蚀速率、健康状况等信息，验证了监测算法和监测平台的可行性和有效性。Abstract: In order to solve the problem that the small defect signal in the guided wave detection of the actual pipeline is inundated by the characteristic echo of the complex structure, an effective pre-processing method for the signal is proposed for suppressing the effect of those possible external factors. Theoretical study on the algorithm for residual signal analysis in the time domain is carried out, and the feasibility of extracting the characteristics of tiny defects is pointed out. A remote monitoring cloud platform for pipeline damage with magnetostrictive ultrasonic guided waves is built to realize automated, digital and intelligent pipeline online monitoring. The corrosion rate and health status of the pipeline are obtained and the feasibility and effectiveness of the monitoring algorithm and platform are verified by laboratorial experiments.
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