The typical layered architecture of edge computing is: at the field level, edge gateways or industrial PCs handle protocol conversion, data cleaning, local caching, and low-latency inference; above that is the plant-level edge server or private cloud, which handles multi-production-line data aggregation and model inference; the top layer is the public cloud or group data center, used for cross-factory analysis, model training, and long-term archiving.