Electrical cabinets are essential infrastructure in modern industry and construction, and their quality and production efficiency are critical to the operation of the entire industrial chain. During the welding process of electrical cabinets, automated welding faces challenges due to seam misalignment, thermal deformation, complex structures, and mass production requirements. Today, let's explore the ATINY laser seam tracking sensor adaptive welding solution for electrical cabinets, which provides an efficient and stable automated solution for electrical cabinet welding.
Principle of Laser Seam Tracker
A laser seam tracker is a device based on laser vision sensor technology, and its working principle mainly includes:
Laser Scanning: A laser beam is projected onto the workpiece surface, forming a clear light band or spot.
Visual Recognition: The built-in sensor captures the relative position between the laser light band and the weld seam, analyzing the specific position and shape of the seam through real-time image processing.
Deviation Correction: Based on the deviation between the weld seam position and the preset welding path, the system sends displacement compensation commands to the welding equipment to achieve precise welding.
Data Feedback: The system monitors the state of the weld seam and welding quality in real-time, providing data support.
The ATINY seam tracking system ensures high-precision welding, significantly reducing human intervention and improving automation.
Challenges in Electrical Cabinet Welding
Electrical cabinet welding has the following characteristics and challenges:
Workpiece Placement Errors: Issues such as improper fixation, inaccurate clamping positions, and manufacturing errors can lead to misalignment of the seam, affecting welding quality.
Thermal Deformation: High temperatures generated during welding can deform the metal, leading to seam deviation.
High Welding Precision Requirements: The welding points in electrical cabinets need to carry certain electrical functions, and welding quality directly impacts performance.
Large Production Volume, High Effici