The current problem of students’ mental health has attracted more and more attention, and students’ psychological warning is one of the most important means to ensure students’ mental health. This paper obtains research data based on the questionnaire method, utilizes multiple preprocessing methods to process the data, and at this level, uses the global chaotic bat algorithm to complete the data feature selection. The selected features are put into the Res-MLP network for training, and finally the artificial intelligence behavior recognition model based on Res-MLP is designed. Combining the model of this paper and the related development software, the multidimensional early warning system for the mental health of higher vocational students is designed and the system of this paper is verified and analyzed. The system still has excellent response time in the face of high number of concurrency, with a value of 1.332s, while also taking into account the excellent security performance, the system in this paper can better serve the higher vocational mental health education.
