The invention relates to the technical field of
edge computing and
artificial intelligence model updating, and provides a cloud edge collaborative edge end
equipment operator hot updating method,
system and device and a medium. The method comprises the steps that a cloud detects a new version of an operator and generates an incremental update
package between the new version and the old version; the
edge node pulls the incremental update
package and performs multiple security
verification on the incremental update
package; a double-instance
inference engine is deployed in the
edge node, operators passing
verification are preloaded to a standby engine, and hot switching from an operation engine to the standby engine is achieved through a state synchronization mechanism; monitoring the running state of the new engine after switching, if the running state is abnormal, triggering a
rollback mechanism, and switching back to the original engine; and optimizing
edge node resources, cleaning old version operators, and reporting an update state and a
resource use condition to the cloud. Core mechanisms such as differential updating, double-instance engine hot switching, multiple safety
verification and
dynamic resource scheduling are fused, and therefore efficient, safe and non-perceptual operator updating is achieved.