Research on the Construction and Application Innovation of Smart Sports Training Scenarios Driven by Digital Intelligent Technology
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Abstract
Against the backdrop of deep integration between digital intelligent technologies and the sports industry, traditional sports training models are plagued by prominent drawbacks including homogenization, insufficient precision and weak data support. Smart sports training has evolved into a core trend for the scientific development of sports. Centered on the upgrading of sports training scenarios empowered by digital intelligent technologies, this paper analyzes the current development status and existing problems of smart sports training scenarios, constructs a multi-layer, multi-sub-scenario smart sports training system, explores its innovative application paths, analyzes application effects through empirical research, and puts forward targeted optimization strategies. The research demonstrates that digital intelligent technologies including the Internet of Things (IoT), big data, artificial intelligence (AI) and digital twins can effectively resolve pain points of traditional sports training and realize the upgrading of personalized training, dynamic monitoring and integrated training-competition systems. Nevertheless, prevailing challenges such as homogenized scenarios, incomplete data systems and insufficient deep integration of technologies still remain. In the future, standardized construction, in-depth technological empowerment and industry-university-research collaborative development will promote the large-scale and refined development of smart sports training scenarios, providing theoretical references and practical support for the digital transformation of sports training.
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