The combination of automation and intelligence has evolved from a simple efficiency tool to a system with “autonomous decision-making” capabilities. This integration is no longer just about executing repetitive tasks but also about giving systems the ability to observe, learn, and decide.The integration of artificial intelligence is the ultimate goal of smart manufacturing systems. Artificial intelligence (AI) and machine learning (ML) technologies are at the core of smart manufacturing, enabling the construction of machine learning models using data and information to predict and optimize production processes. Automation and robotics technology can be used to perform repetitive and high-risk tasks, reducing human error and labor costs.
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Case Study: Automated Welding Processing and Intelligent Yield Recognition System Integration
Widely used in steel structure buildings (such as column weld seams), piping systems, shipbuilding, power plants, pressure vessels, and automotive spot weld inspection. Thickness limitation: Conventional ultrasonic testing is typically suitable for thicker metal parts (such as steel plates greater than 9mm thick); magnetic particle testing (MT) may be more suitable for extremely thin or complex fillet welds.
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