Zhangzhi Zhao’s research while affiliated with University of Electronic Science and Technology of China and other places

With the development of information technology, the application of a new generation of information technologies, such as big data, Internet Plus, and artificial intelligence, in the sports field is an emerging, novel trend. This paper examined the relevant research results and literature on physical education, computer science, pedagogy, management, and other disciplines, then used a self-made questionnaire to investigate the physical health status of Chinese college students. The big data were subsequently analyzed, which provided a scientific basis for the construction of an intelligent governance system for college students' physical health. Intelligent devices may be used to obtain big data resources, master the physical sports development and psychological status of college students, and push personalized sports prescriptions to solve the problems existing in college students' physical health. Research shows that there are four reasons for the continuous decline in Chinese college students' physical health levels. These are students' lack of positive exercise consciousness and healthy sports values (85.43%), a weak family sports concept and lack of physical exercise habits (62.76%), poor implementation of school sports policies (55.35%), and people's distorted sports value orientation (42.27%). Through the connecting effect of data, we can bring together the positive role of the government, school, society, family, and students so as to create an interlinked impact to promote students' physical health. The problems of insufficient platform utilization, lack of teaching resources, lagging research, and insufficient combination with big data in the intelligent governance of physical health of Chinese college students can be solved by building an intelligent governance system of physical health. Such a system would be composed of school infrastructure, data resources and technology processing, and intelligent service applications. Among these, school infrastructure refers to the material foundation and technical support. The material foundation includes perceptions, storage, computing, networks, and other equipment, and the technical support includes cloud computing, mobile Internet, the Internet of Things, artificial intelligence, and deep learning. Data resources refer to smart data, such as stadium data, physical health management data, and students' sports behavior data, which are mined from data resources such as students' physical development, physical health, and sports through big data technology and intelligent wearable devices. Intelligent managers provide efficient, intelligent, accurate, and personalized intelligent sports services for college students through data resource value mining, venue space-time optimization, health knowledge discovery, sports prescription pushes, etc. Finally, we put forward the development strategy for further deepening and improving the big data-driven intelligent governance system for college students' physical health. The intelligent governance system of physical health driven by big data and its development strategy can not only accurately guide and improve the physical health level of college students but also realize integrated teaching inside and outside physical education classes.

This research takes the training, competition, management and talent database of college sports teams as the entry point, and the cross theory of computer, sports and management as the basis, aiming to build the intelligent service management platform of college sports teams. In order to achieve this goal, this study combined with the survey results and big data analysis, carried out a detailed program design for the training, competition and management of college sports teams. Then, combined with the data collected by wearable devices, an intelligent service management platform for college sports teams is designed and built. The platform is used to help sports teams to carry out competition, training and management in a more convenient, efficient and scientific way, provide data support for scientific decision-making, and provide integrated information resources, interactive information network and personalized information services for scientific training, competition and management of college sports teams. Solve the current cumbersome offline process and work mode of college sports teams, collect all data online, improve the overall control and data accumulation, improve the quality of reserve of college sports teams, and consolidate the foundation of sports reserve talents.

The construction of college physical education network teaching resources is based on teaching needs, guided by curriculum innovation, aimed at integrated teaching, and follows relevant national policies to realize the development and sharing of resources. By using the methods of literature, questionnaire, data analysis and action research, this paper studies the related problems, expounds the concept, value, significance and basic structure of the network teaching resource database of physical education in colleges and universities, and studies its construction and application status. On the basis of learning from the good practices of other schools and other disciplines, and taking our school as an example, we have established a physical education network teaching resources database with strong pertinence and practicability, namely AI sports. It basically covers the main courses of physical education and can meet the teaching needs of teachers and students. It not only enriches the means of physical education teaching, but also realizes the integration of physical education teaching and plays an active role in physical education teaching.

The traditional sports industry structure has undergone radical changes under the background of big data. Big data with the top technology level provides numerous sports consumers with more personalized, customized, precise and other services that the traditional sports industry cannot imagine. Big data under the background of development of sports industry should speed up the industrialization of sports work practice, aim at sports market positioning, execution concept updating and solid talent pool, take the initiative to improve sports personalized content customization platform, software and information service as the core to build sports industry chain, industry focus on the core elements to optimize the perfect sports industry development environment, the value of using big data to grasp the sports industry development opportunities.