Laser vision software cooperates with cooperative robot to realize automatic welding

【Summary Description】 Introduction With the rapid development of manufacturing industry, the demand of automatic welding is increasing. In order to meet this demand, we propose an automated welding scheme based on the combination of laser vision software and collaborative robots. This scheme can not only improve the welding accuracy and efficiency, but also reduce labor costs and improve production quality. 1. Laser Vision Software Laser vision software is a software system based on computer vision and laser technology, which is mainly used in robot navigation, object recognition and positioning. In automated welding, laser vision software mainly realizes the following functions: 1. Object recognition: By collecting the image of the object to be welded, the computer vision technology is used to identify the position, shape, size and other information of the object to be welded, which provides the basic data for the subsequent welding path planning. 2. Welding path planning: According to the identified object information, laser vision software can generate the optimal welding path and update the path in real time to respond to changes in the welding object. 3. Welding parameter setting: Laser vision software can set appropriate welding parameters for different welding needs, such as laser power, welding speed, etc., to ensure welding quality. 4. Real-time monitoring and adjustment: During the welding process, the laser vision software can monitor the welding effect in real time, and adjust the deviation in real time to ensure the stability of the welding quality. 2. collaborative robot Collaborative robots are a new type of industrial robot that can perform various operations with human workers without additional safety guards. In automated welding, collaborative robots mainly undertake the following tasks: 1. Perform welding operations: The collaborative robot can accurately and stably perform welding operations according to the welding path generated by the laser vision software. 2. Precise movement: The collaborative robot has high-precision motion control capabilities, which can ensure that the position of the object to be welded is relatively stable during the welding process. 3. Real-time feedback: The collaborative robot can feedback various information in the welding process in real time, such as temperature, pressure, etc., and provide real-time data for laser vision software to fine-tune the welding path. 4. Adaptability: Collaborative robots are characterized by strong environmental adaptability and can work stably in different welding environments. For example, the collaborative robot can still maintain a high efficiency and high precision welding operation when facing different shapes, sizes and materials of objects to be welded. Cooperation of 3. Laser Vision Software and Cooperative Robot In the automated welding process, laser vision software and collaborative robots need to work closely to achieve high-quality welding results. Specifically, this cooperation includes the following aspects: 1. Data sharing: The laser vision software needs to share various information of the recognized object to be welded to the collaborative robot so that the robot can generate the corresponding welding path based on this information. The cooperative robot shares the real-time feedback information in the welding process to the laser vision software, so that the software can adjust the welding path according to this information. 2. Real-time communication: A real-time communication mechanism needs to be established between laser vision software and collaborative robots so that the two can work simultaneously. For example, in the welding process, when the collaborative robot encounters an unexpected situation and needs to adjust the welding path, it needs to notify the laser vision software in time through the communication mechanism, and the software updates the welding path in time after receiving the information. 3. Mutual calibration: Since the laser vision software and the collaborative robot have certain errors, mutual calibration is required to reduce the error. For example, the minimum common divisor of the two errors can be found through trial and error, so as to reduce the error as much as possible during automatic welding. 4. Fault handling: In the automated welding process, if the laser vision software or collaborative robot fails, it needs to be able to deal with it in time. For example, a fault detection and diagnosis module can be set up to stop the welding operation in time and give an alarm to prompt manual intervention when a fault is detected. 4. Conclusion By combining laser vision software with collaborative robots, high-quality, high-efficiency automated welding can be achieved. This scheme can not only improve the accuracy and efficiency of welding, reduce labor costs, but also improve the quality and consistency of production. With the continuous development of technology, this cooperation scheme will be applied and promoted in more fields.

Previous Page

Laser welding machine automation technology and sensor processing technology

Next Page

Automatic welding application to solve the problem of difficult employment in welding industry