【摘要】 针对石化储罐缺陷检测精度低的问题，用磁记忆检测技术与仿真分析、室内试验相结合的方法，研究磁轮式爬壁机器人外施磁场对储罐缺陷磁信号的影响。对比磁轮不同排布方式对缺陷磁场数据的影响，发现方式一排布时缺陷磁感应峰峰值及y方向分量峰峰值最大，检测效果最佳。仿真与试验结果表明，外施磁场对采集罐壁缺陷信息的作用，较无外施磁场高1～5个数量级，显著提升了缺陷检测精度。通过调整磁轮排布方式并利用外施磁场，可以有效促进储罐缺陷的检测，提高检测效率和准确性。该研究对于提升储罐质量水平和保证储罐安全具有重要意义。更多还原

【Abstract】 To address the issue of low accuracy in defect detection for petrochemical storage tanks,a method combining magnetic memory detection technology with simulation analysis and laboratory experiments was used to study the influence of the external magnetic field generated by a magnetic-wheeled wall-climbing robot on the magnetic signals of tank defects.By comparing the effects of different magnetic wheel arrangements on the defect magnetic field data,it was found that Arrangement 1 produced the highest peak-to-peak values of magnetic induction and its y-direction component,resulting in the best detection performance.Both simulation and experimental results demonstrated that the external magnetic field enhanced the acquisition of tank wall defect information by 1 to 5 orders of magnitude compared to cases without an external magnetic field,significantly improving defect detection accuracy.Adjusting the magnetic wheel arrangement and utilizing the external magnetic field can effectively facilitate defect detection in storage tanks,improving detection efficiency and accuracy.This research is of great significance for enhancing the quality and safety of storage tanks.更多还原