Aiming at the real-time 3D reconstruction of large-format components, this paper proposes a method for extracting the centerline of laser stripes against ambient light interference. The Zhang-Suen thinning algorithm is optimized to effectively retain the data information of the laser fringe endpoints. In the process of fitting the centerline of the la-ser fringe with the least square method, a method of extracting the region of interest is proposed. Through the anal-ysis of experimental data, this method effectively improves the anti-interference ability of the algorithm, is suitable for more scanning occasions, and reduces the conditional limitation of using laser three-dimensional scanning in the industrial measurement process.
In order to achieve the camera calibration, the calculation process of the camera’s internal and external parameters was obtained through the established camera calibration model. Based on the coplanar points, the camera calibration model was simplified. With distortion model and Levenberg-Marquardt algorithm, the system calibration’s accuracy was improved. The experimental results showed that the calibration error was smaller and the error data was more concentrated, which realized the accurate calibration of the camera.
Aiming at the problem of low accuracy and poor safety of traditional piston contact detection, a multi-parameter geometric measurement system of piston based on laser projection is proposed in this paper. Based on the principle of parallel light column projection imaging, a mechanical structure, such as motion control based on board card, was designed to realize multi-parameter non-contact detection of piston ring groove width, ring groove depth and ring groove inclination. Through the experimental study, the size tolerance of piston ring groove is about 0.02 mm, and the angle tolerance is about 0.2 degree, also the error analysis of the whole measuring system is carried out. The results show that it is feasible to detect the multi-parameter geometry of piston ring groove by laser projection principle, and it can simplify the step of piston detection, ensure the detection accuracy and improve the efficiency.
In order to solve the problem of low efficiency and poor precision which usually appeared in saw blade detection, here designed a system that can detect the surface jump, thickness, warpage and cracks at the same time. Laser displacement sensors were used to ensure the accuracy. The saw blade was driven by a stepper motor, which is used to avoid direct manipulation of the blade by the user’s hands. By using eddy current test, cracks could be accurately detected. The human-machine interface (HMI), designed based on LabVIEW, could not only did the data processing, but also had an easily interface. Test data could be stored in the database for further analysis. The system has the characteristics of fast detection speed, high precision, good safety, thus can replace the traditional method of saw blade detection.
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