The invention relates to the technical field of network
resource scheduling and
artificial intelligence, and provides a computing
power routing method based on multi-intelligence
collaboration, which comprises a
satellite, an unmanned aerial vehicle, a ground
base station, a user terminal and other multi-layer heterogeneous nodes. Network nodes are dynamically networked through a
wireless link, and node movement, topology change and multi-hop communication are supported. Each node has certain computing power and storage capability, and can cooperatively
complete data processing and task distribution. The core routing nodes are deployed in a network backbone in a distributed manner and are responsible for intelligent routing and
resource scheduling. The
system integrates key technologies such as link quality quantification, distributed election,
reinforcement learning of intelligent agents, virtual
wireless interface
simulation, flow control and
route issuing. The method provided by the invention supports large-scale
simulation, dynamic routing optimization and computing power resource
collaboration, is suitable for scenes such as
satellite internet, unmanned aerial vehicle clusters, emergency communication and intelligent transportation, and realizes wide-area, intelligent and high-reliability communication and computing power services.