Technological Architecture Innovation: From "Mechanical Execution" to "Intelligent Decision making"
The current domestically produced intelligent welding robots have established a three in one technology system of "perception decision execution":
Perception layer: The localization rate of core components such as line laser sensors and 3D structured light cameras has been increased to 70%. Multi source data fusion technology can achieve a welding seam positioning accuracy of ± 0.1mm, solving the problem of trajectory recognition for curved surfaces and cross material welding;
Decision making layer: AI algorithms deeply empower process planning, and a parameter adaptive system based on deep learning can dynamically match 20+core parameters such as welding current and speed within 0.5 seconds, which is 40% more efficient than traditional teaching modes;
Execution layer: Multi joint robots still dominate (with a market share of 85%), but collaborative robots have seen an annual increase in penetration rate of 25% in lightweight scenarios such as 3C electronics and medical devices, thanks to their ± 0.02mm repeat positioning accuracy and safe collision detection technology.
The cutting-edge technology in the industry is breaking through in two directions:
Cross material welding adaptability: According to the "China Intelligent Manufacturing Development Report 2025", some manufacturers have achieved automatic switching of welding parameters for steel aluminum and metal composite materials through transfer learning algorithms, and the compatible workpiece deformation range has been increased from ± 0.5mm to ± 1mm;
Dynamic compensation closed-loop: Based on force control sensors and real-time data feedback, the welding trajectory accuracy is stable at 0.1mm level, meeting the precision welding requirements of aerospace titanium alloy components.
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