

Utilizing self-developed intelligent welding and vision systems, the workstation employs visual photography, line marking, and laser scanning to precisely identify and calculate the position of weld seams. Based on the scanning results, the actual position of the weld seam is determined; the workstation automatically matches the welding process according to the size of the weld angle, including current, voltage, welding speed, and torch posture. Furthermore, based on welding trajectories and processes, program instructions recognizable by robots are created and transmitted to them for welding.
| Payload | ARC12-2000: Payload 12KG |
| Maximum reach | 2025MM |
| Working cycle | 7*20H |
| Environmental requirements | 0-45℃ |
| Workstation weight | 185KG |
| Robot end effector payload | 12KG |
| Welding power source | AOTAI,MEGMEET |
| Operator requirements | Learning basic computer operations and mastering the GoFa Intelligent Operating System for application |
| subitem | unit | content |
| applicable scenarios | / | Suitable for node plates, purlins, cow legs, and other components, as well as small structural parts |
| equipment specifications | m | 1.2*1.2*1 |
| total power | KW | 15.5 |
| Maximum working range | m | 2*1.2*0.3 |
| average welding efficiency | m/day | 60~90(The structural types are different) |
1)Use an overhead crane to hoist the plate into the workstation area;
2)Initiate the robot to perform scanning;
3)Automatically generate welding/cutting programs after the scanning is completed;
4)Execute welding/cutting operations;
5)After welding/cutting is completed, the robot scans and welds/cuts another plate. Meanwhile, manually transport the completed workpiece and hoist a new plate into the workstation area, completing one cycle of alternating operations.
