Abstract:Cable is the key component of cable bearing system bridge, which plays an important role in system composition. To solve the existing non-contact optical measurement of the insufficient field and complex application scenarios, resulting in the testing accuracy and the scope of view cannot coordinate the technical problems, a new method for cable force measurement based on machine vision in multi-view is proposed. A holographic vision sensor system was used to obtain the cable spatial geometry configuration data in the full-view and multi-view, and a calculation model of pixel mapping and image enhancement algorithm was established. Through the information transformation of digital space reference plane, the test parameters were corrected for non-orthogonal case of optical axis ray of the visual sensor and the bearing surface of the measured object in the complex test scene. To avoid the cable force measurement error caused by deviation of cable holographic characteristics from standard catenary, the holographic curve after noise reduction was fitted by geometric configuration in a single field of a single view and the coordinates of anchor points up and down of cable were precisely determined, and then the cable force could be accurately measured by the holographic characteristic parameters. The experimental results demonstrated that the proposed method can quantitatively analyze cable force calculation parameters in complex test scenarios. Compared with the conventional cable force measurement method, the maximum relative error is 9.2%, and the root mean square error is 2.79%, which meets the requirements of engineering practice testing accuracy and stability, and provides a new way for cable force measurement of cable-stayed bridge in complex test scenarios.