Laser Weld Tracking Sensor For Steel Cage Welding

Contact sensors
Contact sensors usually use probes to contact with the side wall of the workpiece or a side wall of the laser weld tracking sensor for steel cage welding in front of the welding gun. By detecting the offset of the probe, the control system can track the position of the weld seam. Its advantages are that it is not affected by arc interference and has low cost.
 

Ultrasonic sensors
Ultrasonic sensors detect the information and geometric shape of the laser weld tracking sensor for steel cage welding by judging the time of the echo. It is not easily affected by electromagnetic, light, smoke and other interference during welding.
 

Arc sensor
Arc sensor calculates the shape information of the weld groove by utilizing the movement of the arc relative to the laser weld tracking sensor for steel cage welding, and calculates the distance change between the welding gun and the workpiece through the parameter changes of arc voltage and current, so as to achieve the tracking control of the welding gun in the two directions of high and low and left and right. The arc sensor uses the arc itself as a sensor. Its advantages are the arc interference, magnetic field, splashing, smoke and other interference.
 

Laser vision sensor
Laser vision sensor is considered to be the most promising weld seam tracking sensor. Based on the principle of triangulation, the laser projects the line-structure light onto the object to be detected through the lens group, which receives the diffuse reflection on the object and forms images on the cmos/ccd sensor through the receiving lens group. These image data can be processed to generate information such as working distance, position and shape of the measured object. 

Offline programming technology combined with automatic weld seam tracking technology
Offline programming technology is based on computer graphics and robot kinematics and other technologies to simulate the action of the simulation robot, and generate the robot's motion trajectory and the corresponding robot operation through image-based programming. Compared to traditional programming by staff through robot demonstrators, offline programming can greatly improve work efficiency while keeping the programmer away from harsh or dangerous working environments. In recent years, offline programming technology is developing towards fully automatic, or even more intelligent, offline programming technology combined with automatic weld seam tracking technology can play a part of the role of non-teaching, for the number of welding seams, and the form of change can largely reduce the workload.
 

Welding remote control technology
Remote control welding refers to the operator away from toxic, deep water, nuclear radiation and flammable and explosive and other dangerous working environment, to achieve remote control of the welding equipment and laser weld tracking sensor for steel cage welding process. Because at present in the field of welding can not fully realize the intelligent welding technology to carry out independent welding, so the need to use remote control remote control of welding equipment to ensure the accuracy and quality of welding. Active visual sensing is the main application of remote control welding sensing methods, with the development of the melt pool monitoring camera, the remote control of the environment and more and more parameters.

3D scanning imaging and artificial intelligence technology
3D vision-based robotic autonomous welding system can be based on structured light camera generated point cloud images and based on artificial intelligence to quickly and independently generate weld trajectory, and then based on the weld trajectory to generate the robot's laser seeking, empty walk and welding trajectory, based on the expert library to add the welding process. The system does not need to input accurate 3D models, no need to teach programming, after the workpiece is scanned in 3D, the robot welding trajectory is generated autonomously, and the work of laser precise position finding and deflection correction is combined together, which is very suitable for solving the common multi-species and small batch product welding in industrial sites autonomously. This type of welding system can effectively improve the overall welding quality and efficiency by eliminating the need for workpiece pattern creation, offline programming, and robot teaching. 

Vision system, combined with laser and vision technology, can achieve accurate detection of three-dimensional space coordinate position, so that the robot to achieve independent identification, independent adjustment function, is the core component of the robot control. The system is mainly composed of laser sensors and control hosts. The laser weld tracking sensor for steel cage welding are responsible for active acquisition of weld seam information, and the control hosts are responsible for real-time processing of weld seam information to guide industrial robots or welding special machines to autonomously correct the programmed path to meet intelligent production requirements. The laser weld tracking sensor for steel cage welding mainly consists of camera, semiconductor laser, laser protection lens, anti-spatter baffle and air-cooling device.

Adopting the laser triangle reflection type principle, that is, the laser beam is focused and shaped and projected onto the surface of the object to be measured, the diffuse reflected light is imaged on the laser weld tracking sensor for steel cage welding through the high quality optical system, and this image information is processed to generate the working distance, position, shape and other information of the object to be measured, and the deviation of the robot programming path is calculated and corrected through the analysis and processing of the detection data. The obtained information can be used for seam search and positioning, seam tracking, adaptive welding parameter control and transferring the information to the robot cell in real time to complete various complex welds, avoid welding quality deviations and realize intelligent welding.

Suzhou Full-v was founded in 2019 and has served thousands of users both domestically and internationally, gaining unanimous recognition from users. The Full-v 3D laser intelligent weld seam tracking system has achieved full coverage matching among mainstream robot manufacturers both domestically and internationally, and has the characteristics of simplicity, reliability, and widespread use. The company is committed to providing open and customized optoelectronic sensor equipment and technical services, always prioritizing product quality and user experience. With a spirit of continuous improvement as a craftsman, we provide customers with reliable and stable products.