The application is particularly a control method of an
Internet of Things gateway fusing communication and AI computing power, and relates to the technical field of
Internet of Things gateway control, comprising: constructing a
machine-understandable structured function identity file and a dynamic digital
gene model for a physical device; analyzing structured service requirements and fusing multi-source context information to generate a device and network joint execution strategy meeting QoS requirements through an AI
decision model; and dynamically creating a
virtual communication end point based on the execution strategy.In the application, the device structured capability
declaration and the dynamic digital
gene model realize the transformation of the device from passive response to active capability
declaration; the device automatically pushes a standardized description file containing function fingerprints, capability vectors and the like after being powered on, so that the gateway can complete identification and
adaptation without pre-configuration; in cooperation with the transparent
adaptation characteristics of the
virtual communication end point, a standard interface is simulated on the cloud and a
local agent is simulated for the device, so that the device can be accessed without modifying the
firmware.