As an important gateway to talent training, a university should monitor the physique of college students in real time and effectively cultivate their physical quality. Under the background of big data, it is necessary to construct the intelligent service system of students’ physical health (PE) in time, realize unified management, provide strong support for improving decision-making at all levels, ensure the orderly development of physical examination, and find and solve related problems in time. In this paper, the adolescent students’ PE is taken as the research object, and driven by big data, the intelligent service system of Chinese adolescent students’ PE is studied. Students’ PE test system based on data mining makes use of modern computer technology, breaks through many limitations of traditional manual test, transfers the traditional test form to computer, and uses IT to complete test and data analysis efficiently and accurately with the advantage of computer. This not only improves college students’ health awareness, health status, and participation enthusiasm but also significantly improves the work efficiency of health management institutions.

The national fitness service system must focus on meeting the sports needs of residents, innovate the construction mode of urban leisure sports big data service platform, and promote the construction of urban leisure sports health big data service platform. The healthy development of urban leisure sports should also adhere to the principles of demand orientation and problem awareness. Big data is an industry with urban leisure and sports health as its core data. It is a production process that continues to cycle in the life cycle of big data. Therefore, this paper uses in-depth learning to study the construction of big data service platform for urban leisure sports health. The in-depth learning improvement project is an expert team organized by the urban leisure sports health basic textbook development center of the Ministry of education. The data revolution driven by deep learning examined the value of data, conquered the data ocean, and created a new era of personalized medicine in the fields of urban leisure, sports, and health. On the basis of in-depth learning, this paper constructs a big data service platform for urban leisure sports health. On the one hand, the establishment of this platform will help to speed up the construction process of sports service informatization and the reform of various fields of sports, on the other hand, it will help to promote the improvement of the physical quality of the whole people.