In order to solve the contradiction between the increasing data transmission demand and limited network resources faced by the current optical transmission network, a wavelength optimization method for optical transmission network routing based on data mining is designed. Build a hierarchical graph model to map wavelength resources in physical links to connection lines in a graphical structure, and solve routing and wavelength allocation problems within the same framework. Use genetic algorithms to design network load dynamic adaptation algorithms to achieve dynamic load adaptation optimization in optical transport networks, thereby achieving joint optimization of routing and wavelength. The experimental test results show that the method maintains a low blocking index throughout the entire testing process. As the number of services increases, the blocking index rises slowly, while the resource utilization index increases rapidly in the early stages of service, gradually stabilizes, and finally reaches a resource utilization index close to 0.7.