The application discloses a real-
time data caching and distributing method for
industrial internet of things, comprising the following steps: S1, collecting real-
time data of
industrial internet of things heterogeneous devices, marking data priority and initial access heat after preprocessing; S2, building a three-level cache
system, and clearly defining the storage capacity, range and
time sequence data processing rules of each level; S3, constructing a
time sequence convolution network access heat prediction model, combining real-time access heat value to form a two-dimensional
evaluation system, and dynamically adjusting the cache storage strategy and
data migration path; S4, monitoring the cache node and link load, and planning the data distribution path; S5, establishing an
edge node cache cooperation mechanism to realize hotspot data cross-node sharing and three-level cache
data synchronization; S6, real-time detection of the running state, triggering redundant
backup and
path switching when abnormal. The application significantly improves the
data cache hit rate and distribution efficiency of
industrial internet of things, and reduces the network bandwidth occupation and cloud load.