The invention discloses a time-sensitive data dynamic slice scheduling method in an
edge computing environment, and belongs to the technical field of
data processing. The method specifically comprises the following steps: S1,
edge node deployment: selecting an
edge node deployment position according to a kitchen ware type, configuring
edge node hardware, and deploying an edge node
software system; s2, multi-
source data acquisition: self-adapting to multi-
source data acquisition frequency according to the state of the kitchen ware, and automatically switching a
data acquisition mode.
Edge node deployment is efficient and stable, the basic performance of the
system is improved, and lightweight and efficient
collaboration of the edge nodes is achieved through customized hardware configuration and
software deployment. The memory
time sequence calibration and the
flash memory partition division of the hardware level guarantee the reasonable distribution of storage resources; and a micro-service starting
sequence control and real-time monitoring mechanism at a
software level ensures ordered linkage of
data acquisition, preprocessing and scheduling services, reduces
coupling among the services, and improves the overall stability and response speed of the
system.