The invention provides a heterogeneous
system-oriented multi-scene fusion
open platform architecture data interaction
system, which comprises an edge multi-mode connector suite, a unified data
bus, a multi-task neural network engine and a target
system adaptation layer, and is characterized in that a
large model auxiliary protocol is utilized to adapt and automatically analyze a private message of a
robot; real-time videos are collected through the industrial vision module; the data
bus provides event-driven
time sequence-document-streaming
hybrid transmission; the neural network engine introduces a graph entropy modulation
activation function of a
production line load rate and semantic confidence, performs multi-
modal coding on equipment data and visual features, and outputs
semantic mapping, load prediction and control instructions; and the
adaptation layer pushes the instruction to an MES platform, a WMS platform and a quality detection SaaS platform to form a
millisecond-level
closed loop. According to the technical scheme, private protocol zero code access, semantic unification, self-adaptive scheduling and defect detection are achieved, the
data compression rate and the defect
recall rate are greatly increased, and traceable safety is achieved.