The application relates to the technical field of
Internet of Things, in particular to a WiFi non-inductive detection method and
system for cellular
Internet of Things DRX cycle
adaptation; the method comprises the following steps: constructing a continuous time modeling cellular monitoring function and a
radio frequency priority model by analyzing DRX cycle parameters of an
Internet of Things terminal, identifying a safe time window for
radio frequency switching, and generating a scheduling decision in combination with hardware switching overhead; a dynamic safe window prediction mechanism is designed, a WiFi scanning window sequence is generated through weighted history correction and multi-cycle sliding prediction; a complete WiFi scanning task is split into multiple micro scanning fragments,
executable fragments are dynamically matched according to the length of each safe window, and the scanning task is incrementally completed across multiple DRX cycles; and through an asynchronous cache and fragment
fusion mechanism, scanning results are reliably integrated into a complete scanning view. The application effectively guarantees the cooperative scheduling of terminal
cellular radio frequency resources and the reliable execution of a WiFi scanning task.