In order to correctly observe and report the incidence of mental disorders among college students, an intelligent monitoring and warning system for college students’ mental health based on big data technology was proposed. This study investigated the mental health, learning, and behavior patterns of college students and found the differences in their mental health status between different learning styles and lifestyles. Using sleep, staying up late, socializing with classmates, academic performance, absenteeism, and sudden illness as information collection indicators, establish a psychological crisis monitoring and warning system based on big data technology, conduct two-level monitoring and warning, achieve dynamic tracking and accurate monitoring and warning of college students’ mental health status, and improve the level of mental health education in universities.