智用开物管震：工业互联网被误读十年后，Agent才让它开始干活

TL;DR - Chinese startup Zhiyong Kaiwu is deploying multi-agent “virtual workers” for industrial tasks such as production scheduling, quoting, and equipment maintenance. Its approach matters because it targets high-value factory decisions through shared industrial semantics and predefined agent collaboration rather than brittle, monolithic workflows.

• An industrial semantic engine maps enterprise-specific terminology, data fields, business rules, and physical constraints before agents act.
• Its “virtual crews” separate LLM-based reasoning and planning from specialized execution agents, with roles and communication contracts defined in advance.
• Prepackaged role agents connect to MES, ERP, and WMS systems, ingest SOPs and constraints, and calibrate on historical data; the company claims onboarding can take about 30 minutes.
• Production scheduling is a flagship use case, combining inventory checks, procurement recommendations, data extraction, and continuously changing shop-floor constraints.