This invention provides an adaptive multi-
source level wake-up method,
system, and medium based on the HiSilicon platform
USB. It synchronously captures the first level information, first
square wave information, and first
voltage information of the
USB Hub, and generates a time-aligned trigger
signal matrix through
delay compensation. Based on the trigger
signal matrix, feature signals are extracted, and a wake-up
score is generated using a weighted fusion
algorithm. An adaptive wake-up threshold is dynamically calculated based on a real-time
noise baseline and historical false wake-up records. When only the first slope information exceeds the limit, it is determined to be a Level 1 wake-up, and the wake-up
score is increased. When both the first slope information and the first frequency information exceed the limit, it is determined to be a Level 2 wake-up, and a wake-up action is triggered. When the first slope information does not exceed the limit and the wake-up
score exceeds the wake-up threshold, it is determined to be a Level 3 wake-up, triggering a wake-up action and initiating wake-up diagnosis.
Noise interference is reduced through multi-source
signal cross-validation, and a dynamic threshold
algorithm is used to adapt to complex industrial environments, improving the success rate and reliability of wake-up.