This invention relates to the field of
industrial network control technology, specifically to a
software-defined
industrial control system with edge-cloud
collaboration. The
system includes an edge control action configuration module, a multi-source
signal aggregation module, a state change identification module, a
cloud scheduling module, and a collaborative control generation module. In this invention, by decoupling and standardizing the control action configuration, multi-channel
signal acquisition, data tag construction, change state identification, and remote scheduling execution processes, a basic edge control instruction structure can be quickly constructed based on equipment status, and a unified time-
series data tagging mechanism can be established. Combined with the dynamic
perception capability of change states and the feedback point identification method, efficient identification and rapid classification of key control points can be achieved. This allows task chain execution to be quickly mapped to the critical path and real-
time control to be implemented, enabling
rapid response to multi-source changes in the industrial field and accurate issuance of control commands, significantly improving the real-time performance and
collaboration of the control process.