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A novel algorithm for pipeline displacement and bending strain of in-line inspection based on inertia measurement technology:

机译:基于惯性测量技术的在线检测管道位移和弯曲应变的新算法:

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摘要

The in-line inspection tool with Inertial Measurement Unit tool is becoming a routine and important practice for many pipeline companies and is effective for whole-line bending strain measurement. However, the measurements of Inertial Measurement Unit tool are always affected by noises and errors, which are caused by inherent inaccuracies and deficiencies of the experimental techniques and measuring devices. For the calculations of the bending strain, the results are very sensitive to the noises and errors. A filtering algorithm based on cubic spline interpolation was proposed for Inertial Measurement Unit data processing to eliminate noises and errors for bending strain, and the effectiveness is validated through the pipeline field test. The results showed that the average pipeline displacement deviation declined 13.82% in the three tests, and the bending strain error reduced from 0.037% to 0.014%. The proposed method effectively improves the inspection accuracy and provides an effective method for pipel.
机译:带有惯性测量单元工具的在线检查工具已成为许多管道公司的常规和重要实践,并且对于整线弯曲应变测量非常有效。但是,惯性测量单元工具的测量总是受到噪声和误差的影响,这些噪声和误差是由实验技术和测量设备的固有误差和缺陷引起的。对于弯曲应变的计算,结果对噪声和误差非常敏感。提出了一种基于三次样条插值的滤波算法,用于惯性测量单元数据处理,消除了噪声和弯曲应变误差,并通过管道现场试验验证了其有效性。结果表明,三个试验的平均管道位移偏差下降了13.82%,弯曲应变误差从0.037%降低到0.014%。所提出的方法有效地提高了检查的准确性,并为烟斗提供了一种有效的方法。

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