This invention relates to a method and
system for automated generation of TSN network configurations based on a reflective agent. The
system comprises a network state
perception and intent reflection module, a YANG
model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state
perception and intent reflection module is responsible for structurally perceiving network state and
resource information. The YANG
model configuration parameter and structure decision module integrates multi-source knowledge and
contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs
syntax and semantic
verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment
automation capability of TSN
network configuration by introducing reflective reasoning and feedback optimization techniques.