The application discloses a
power transmission and distribution network end cloud collaborative
risk prevention and control method and
system based on dynamic routing, relates to the technical field of
power system automation, and comprises the following steps: collecting high-frequency
time sequence electrical data in real time and constructing
normalized time sequence characteristic vectors; inputting the
time sequence characteristic vectors into a semantic routing network to calculate routing scores, comparing the routing scores with a preset threshold, and performing dynamic
shunting after the comparison; when a local
processing path on the end side is activated, a control instruction or a protection action
signal is output by an end side
execution model reasoning; when an end cloud
collaborative processing path is activated, visual semantic features are extracted and jointly transmitted to a
station end together with the
time sequence features, and a
station end cognitive
large model is used for multi-
modal fusion reasoning, to generate a treatment suggestion and return the treatment suggestion. Through the dynamic routing mechanism, the application realizes asymmetric
collaboration of end
cloud computing power, guarantees
millisecond-level response speed, improves the research and judgment accuracy of complex faults, and significantly reduces
communication bandwidth occupation and end side
power consumption.