The invention discloses a self-adaptive
network topology detection method based on an AI computing power
data center, and the method comprises the steps: S1, the starting of
data center physical equipment and the communication preparation of a cable, and guaranteeing the connection of an equipment physical link of an AI computing power
data center network; step S2, deploying an agent program of an LTDP (Link Topology Discovery Protocol) protocol, which supports protocol extension based on an LLDP (
Link Layer Discovery Protocol), for switch equipment of the computing power
network data center, and deploying an agent program of an LTDP (Link Topology Discovery Protocol) protocol, which supports protocol extension based on the LLDP (
Link Layer Discovery Protocol); s3, starting an agent program on the switch equipment to start to collect local LTDP information, wherein the content comprises LLDP information and computing power network characteristic information related to interfaces, flow control and equipment; and S4, deploying the adaptive
network topology detection device at a universal
server node of a computing power
network data center, and starting the adaptive
network topology detection device. And after receiving the TDP response message, the topology detection device continues to construct the TDP of the far-end equipment, so that intelligent detection and information collection of network equipment topology in the computing power center are realized.