Internet and computer technologies are progressively being employed in different industries as the information era progresses. The use of information technology is inextricably linked to human daily existence. Our industrial environment is changing as a result of the advancement and development of the times. In the industrial sphere, the Internet of Things, artificial intelligence, and digital production have all been widely utilized. In the industrial 4.0 eras, we must integrate the new intelligent management idea into the current industrial system and media communication. Our study focuses on how to incorporate intelligent technology with sports culture communication in the context of Industry 4.0, as well as how to implement spatiotemporal modeling and analysis of human behavior and behavior traits. A model of human temporal and spatial behavior change in sports culture communication is constructed against the backdrop of industrial 4.0 management. Data mining, a human behavior recognition algorithm, a behavior quantitative analysis approach, and a behavior feature model are used to examine the trajectory of human behavior. The findings reveal that, in the context of industry 4.0 management, human behavior modeling can accurately characterize the essential features and behavior state of sports culture communication, as well as anticipate and assess human behavior performance in such social activities and phenomena. The trajectory of human behaviors is investigated through data mining, data preprocessing, and behavior quantitative analysis. It has a positive influence on human behavior in everyday life.
