AI-Empowered Automation Trends

No More Coding for PLC Programming? Modern Industry’s Explosive AI Technology Is Rewriting the Future of Custom Automation

Those of us in custom automation know the biggest headache isn’t drafting or assembly—it’s programming and debugging. When clients request a workpiece size change today or switch process parameters tomorrow, the entire PLC program must be rewritten from scratch. At last month’s Industrial Expo, Siemens’ booth drew massive crowds—their engineers simply told the computer to “write an emergency stop logic for the EMB assembly line,” and the system instantly generated PLC code, slashing on-site debugging time by 30%! This scene left many veteran engineers marveling: “We might finally be done with those late nights rewriting programs.”

From Guessing Parameters to AI Auto-Tuning: Resistance Welding Processes Get Disrupted First

Take resistance welder, our specialty. Previously, changing a workpiece required veteran technicians to trial current and voltage parameters three to five times based on experience. Now, AI systems instantly grasp the requirements.

• Visual recognition + process library: A camera scans the weld seam shape, and AI automatically matches it to over 500 process solutions in the database, instantly calculating the welding machine’s flash duration and upthrust pressure. Defect rates plummeted from 8% to 0.3%.
• Dynamic error correction: After implementing AI on an automotive chassis welding line, thermal deformation-induced weld misalignment is compensated in real time—like equipping the welding gun with a navigation system, eliminating the need for machine downtime to recalibrate the gun.
• Legacy equipment upgrades: A Jiangsu agricultural machinery factory added an AI module to its old butt welding machine. Without replacing hardware, production capacity jumped by 40% while electricity costs dropped by 15%.

What new tricks will resistance welding + AI pull off in the future?

Frankly, current AI applications are just scratching the surface. In two years, resistance welding might evolve like this:

• Material-adaptive welding: Can you believe AI analyzes steel composition via spectroscopy to automatically switch welding waveforms? Pulse current for high-carbon steel, medium-frequency tuning for aluminum alloys—no more manual-flipping engineers;
• Digital twin simulation: Run a virtual workshop run-through before welding. AI simulates bead formation under varying pressures, even predicting fatigue cracks that might appear three years later.
• Multi-gun coordinated dance: One robot welds the main body while two assistants tackle edges. AI choreographs their movements like a waltz, achieving weld point precision down to 0.01 millimeters.
• Intelligent Energy Management: During grid voltage fluctuations, AI automatically adjusts welding duration to maintain quality without tripping circuit breakers. Reportedly, an electric vehicle manufacturer using this technology reduced monthly electricity bills by over 20,000 yuan.

PLC Programming Enters the Chat Era, Accessible to Small and Medium-Sized Factories

Siemens’ newly launched Industrial Copilot lowers programming barriers to the level of conversational interaction. Engineers describe requirements in natural language—for example, “Activate emergency stop when conveyor speed exceeds 1 m/s”—and the system automatically generates ST code while validating logic. For SMEs, this is a game-changer:

• 3 days → 3 hours: What took 3 engineers 3 days to modify now generates a draft in 30 minutes via AI, ready for use with a few mouse clicks.
• Newcomers can master it: At a Zhejiang parts factory, a recent graduate used the AI assistant to program a robot workstation in just one week—a task traditionally requiring seasoned technicians;
• Legacy project maintenance is no longer a headache: When clients change requirements, the AI automatically identifies related logic in old code, preventing unintended chain reactions.

Honest advice for bosses: It’s not too late to get on board

Don’t think AI is some high-tech mystery—it can even calculate resistance welding parameters for you. Starting next year, factories that don’t use AI to optimize production lines might genuinely get left behind.

• Start small: Don’t try to overhaul the entire line right away. Spend a few thousand on an AI module for inspection, or try an AI programming assistant—you’ll see immediate results.
• Don’t rush to scrap old equipment: 80% of legacy machinery can be upgraded by adding sensors and connecting to AI platforms—at a fraction of the cost of new machines.
• Talent concerns? Not an issue: Today’s AI tools are simpler than you think. Anyone who knows Excel can master them in two days. Our veteran technicians become AI operators with minimal training.

Conclusion: AI is transforming the headaches of non-standard automation into reliable operations by shifting from experience-driven to data-driven approaches. At next year’s Industrial Expo, we might even see fully automated production lines combining AI design with robotic assembly—but for now, simply making your PLC understand your commands is enough to get a head start.