Dynamic Response Measurement and Cable Tension Estimation Using an Unmanned Aerial Vehicle

Since all structures vibrate due to external loads, measuring and analyzing vibration data is a representative method of structural health monitoring. In this paper, we propose a non-contact cable estimation method using a vision sensor mounted on an unmanned aerial vehicle. A target cable among many cables can be identified through marker detection. In addition, the motion of the structure can be quickly captured using the extracted feature points. Although computer vision can be used to transform displacements of multiple axis, in this study, only the vertical displacement is considered to estimate tension. Finally, the cable tension can be estimated via the vibration method using the modal frequencies derived from the cable displacement. To verify the performance of the proposed method, lab-scale experiments were carried out and the results were compared with the conventional method based on the accelerometer. The proposed method showed a 3.54% error compared with the existing method and confirmed that the cable tension force can be estimated quickly at low cost.

Automated summary

In this paper, a non-contact cable estimation method using a vision sensor mounted on an unmanned aerial vehicle is proposed. Through marker detection, a target cable among many cables can be identified, and the motion of the structure can be quickly captured using the extracted feature points. The cable tension can be estimated via the vibration method using the modal frequencies derived from the cable displacement.