Online visual detecting system for robot polishing

Abstract

The invention relates to the technical field of detection in the robot polishing process, in particular to an online visual detecting system for robot polishing. The online visual detecting system for robot polishing is characterized by comprising a three-dimensional laser measuring mechanism and a two-dimensional moving mechanism; the two-dimensional moving mechanism is provided with a posture adjusting mechanism; the three-dimensional laser measuring mechanism includes an industrial personal computer; the industrial personal computer is connected with a signal processor; the signal processor is connected with a three-dimensional laser camera mounted on the posture adjusting mechanism; the industrial personal computer is connected with control variable frequency motors of an X-directional guide rail and a Y-directional guide rail of the two-dimensional moving mechanism; a keyboard and a display are connected with the industrial personal computer; and the X-directional guide rail of the two-dimensional moving mechanism is mounted on the Y-directional guide rail. The online visual detecting system for robot polishing solves re-positioning errors and waste of time caused by manual detection, preferably solves the machining and detecting problems in robot polishing, realizes the automation process of polishing and detection, and effectively improves the machining quality and efficiency.

Description

technical field [0001] The invention relates to the technical field of detection in the grinding process of a robot, in particular to an online visual detection system for grinding a robot. Background technique [0002] As an important branch of computer science, machine vision technology has developed rapidly in the past thirty years. Because the machine vision system can quickly acquire a large amount of information and automatically perform data processing, it is easy to integrate with design information and processing control information. Therefore, in the modern automated production process, the machine vision system is widely used in working condition monitoring, finished product inspection and quality control, etc. field. The traditional detection method is to clamp the processed parts to the test system, and use the measuring device to directly contact the measurement. The measurement accuracy is low, the efficiency is low, and it is difficult to realize automation....

AI Technical Summary

Problems solved by technology

[0003] In the robot grinding system in the prior art, the surface quality inspection of the polished parts needs to be done offline. After the robot working program is set, the processing result must be taken down after the processing is completed to measure, and repeated clamping will occur. It not only reduces the processing accuracy, but also wastes time, reduces productivity, and cannot truly realize the automation of processing. At present, a three-coordinate measuring instrument is added to the grinding station to achieve online measurement, but this method not only requires high site requirements, but also costs high. detection speed is slow

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