针对金属表面裂纹的多特征监测问题,提出了一种基于射频识别(Radio Frequency Identification,RFID)技术的裂纹多特征监测方法.首先,设计了一种RFID标签阵列,通过裂纹影响标签反射信号的相位特征来感知裂纹特征.然后,设计了一种基于几何法的裂纹粗定位算法,利用粗定位结果结合指纹法进行细粒度定位,计算得到裂纹的方向、位置和宽度.最后,通过在不同标签阵列密度以及指纹密度的情况下进行仿真,并进行真实实验来验证该算法的有效性和准确性.仿真及实验结果表明,与传统RFID指纹法相比,所提方法能有效降低裂纹多特征监测误差.
Research on Fingerprint-Assisted Multi-Feature Monitoring Technology of Metal Surface Cracks Based on Passive RFID Sensing
Aiming at the multi-feature monitoring of metal surface cracks,a crack multi-feature monitoring method based on radio fre-quency identification( RFID) is proposed.Firstly,an RFID tag array is designed to perceive the crack feature by the phase feature of the crack affecting the reflected signal of tags.Then,a coarse crack localization algorithm based on geometric method is designed,the coarse positioning results are combined with fingerprint method for fine-grained positioning,and the direction,position and width of cracks are calculated.Finally,the effectiveness and accuracy of the algorithm are verified by simulation under different tag array densities and fin-gerprint densities,and real experiments are carried out.Simulation and experimental results show that compared with the traditional RFID fingerprint method,the proposed method can effectively reduce the multi-feature detection error of cracks.
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维普
