28/10/2026
Many factories already have MES systems, dashboards, and huge amounts of data.
Yet when a machine alarm suddenly appears on the production floor, what usually happens?
People start asking around.
An experienced engineer walks over, takes a quick look, and says, “Check this parameter.”
Five minutes later, the problem is solved.
But the real question is:
Why did only that one person know the answer?
In many manufacturing environments, the most valuable knowledge doesn’t live in systems — it lives in people’s experience.
At COSMOPlat’s Huangdao Interconnected Factory, we’ve been exploring how AI can change that.
The Aixin AI Intelligent Assistant works like a digital production expert that operators can talk to directly.
Instead of searching through documents or switching between multiple systems, operators can simply ask questions in natural language:
• What caused this alarm?
• Which parameters should be checked first?
• What is the recommended troubleshooting path?
Behind the scenes, the assistant combines large-model AI with real production knowledge—from equipment and processes to quality and exception handling.
The result is surprisingly practical:
In typical fault scenarios, response efficiency improved by about 40%, while troubleshooting for certain issues became 20% faster.
But the biggest change isn’t the numbers.
It’s that critical manufacturing know-how is no longer locked inside a few experts’ heads.
It becomes something the entire factory can access.
As AI continues to move into industrial environments, its most powerful role may not be replacing people—but helping factories capture, scale, and share human experience.
