The production and processing process of heavy industry can not be separated from the help of various heavy-duty equipment. Usually, these heavy-duty equipment have the characteristics of large mass, large volume and fast transportation speed. However, if problems occur, even the smallest failure will cause major safety accidents. Therefore, it is necessary to carry out regular inspection and maintenance on the equipment. Through the investigation of historical data, it is found that the most vulnerable part of heavy equipment is spiral bevel gear. After a long time of operation, the wear between these parts and the contact surface gradually increases. When it reaches a certain degree, it will break and cause chain accidents. In order to reduce the degree of accident damage, it is necessary to track the contact area trace visually, judge the current state of spiral bevel gear, and solve the problem from the root.
An optimization algorithm for contact trajectory tracking of spiral bevel gears based on installation adjustment is proposed. The initial motion point and transmission point parameters of spiral bevel gear are detected by installing constraint equipment, and the equation group is established to solve the average value of the parameters. The value is used as a reference basis to track and compare with the objective function. The overall calculation amount of this method is large and the practicability is not strong; Considering the strong dynamic characteristics of the contact surface of spiral bevel gears, the features of the contact line are extracted, and the feature values are input into the tracking equation to complete the tracking. This method does not take into account the impact of environment and unexpected factors, and the extraction error is large and the tracking accuracy is low.
In order to solve the above problems, a mathematical model based on the motion of the spiral bevel gear tooth surface is established, the dynamic and morphological characteristics of the spiral bevel gear motion are analyzed, the motion coordinates are simulated, the vector values of the key points are calculated, and the judgment standard of whether there are traces is obtained according to the infinite meshing principle of the contact surface. On this basis, the image segmentation method is used to accurately extract the trace details, minimize the subsequent error impact, provide capture experience for tracking methods, and ensure quality. The tracking technology relies on the obtained feature parameters to obtain the prism slope value that has the largest relationship with the trace in the image. Through this value, each point is compared to form a continuous expression sequence to complete effective tracking.
A visual image tracking technology based on the contact area trace of spiral bevel gear tooth surface is proposed, which captures and analyzes the trace characteristics and tracking morphology to help the maintenance and management of heavy machinery. The mathematical model of spiral bevel gear movement is established. According to the model, the tooth surface meshing with and without trace can be obtained, which reduces the judgment error and improves the tracking efficiency. According to the contact surface image sample, the background pixel, the whole pixel and the target pixel feature of the trace are extracted, and the obtained feature value can be used as the precondition and judgment standard for tracking. Through the linear relationship between the edge points and the contact points of the image, the edge slope of the trace is calculated, and the tracking sequence is formed by iterative comparison. The experimental results prove the effectiveness of the method in this paper. The logic expression of the whole tracking process is clear, the viewpoint is clear, and the calculation is simple and easy to implement. How to complete the calculation of kinematic parameters on the basis of trace tracking is the focus of the next research.