“In the field of shield tunneling engineering, the application of machine learning technology is becoming increasingly mature. By deeply mining engineering data, machine learning methods can help improve the efficiency and safety of engineering construction. Experts have summarized the research progress of machine learning in the analysis of shield tunneling equipment status, performance prediction, inversion of surrounding rock parameters, prediction of surface deformation, and diagnosis of tunnel diseases, providing new ideas for the development of engineering intelligence.”