The invention relates to the field of
network communication, and discloses a multi-source
heterogeneous network data cooperative transmission method based on dynamic multi-dimensional evaluation and intelligent
disaster recovery, which comprises the following steps: collecting
system network parameters of a 5
G network and a long-distance wired network in real time through a
software definition interface module; performing weighted evaluation on the acquired
system network parameters based on a dynamic link selection engine, the evaluation dimensions including real-time bandwidth,
transmission delay and current link traffic, and generating an optimal
communication link combination scheme; carrying out fragmentation and protocol
adaptation on the data by adopting a general packaging framework and an intelligent
label technology; distributing multi-path parallel transmission according to a priority strategy; at a receiving end, data recombination and
disaster recovery supplementary transmission are realized through network coding and multi-path cooperation; and the evaluation weight is dynamically optimized in combination with
reinforcement learning. According to the invention, the problems of rigid link selection, low protocol conversion efficiency and insufficient disaster tolerance in the prior art are solved.