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- W3170061402 abstract "In recent years, the rapid development of Sports in China has greatly promoted the construction of domestic sports venues. The holding of the Olympic Games and the successful bidding for the Winter Olympic Games make the construction of stadiums and gymnasiums in full swing, but there are some problems in the management before and after construction. This paper analyzes the application of Artificial Intelligence (AI) big data in stadium construction management, and finds that the purchase cost of reinforcing steel and concrete increases with the increase of the reliability rate of delivery by the supplier, while the higher the reliability rate of cement delivery, the lower the total purchase cost. In addition, the research discusses the big data and the conversion mode of management, university gymnasium discusses the large data of AI application possibility and necessity of management in the gym, aims to provide a variety of stadium management optimization strategy, to alleviate the problem of unbalanced development of sports facilities, actively explore the urban resource sharing model. According to the research, the application of AI big data (BD) in stadium management in the future can effectively promote the reform of stadium management methods and operation, and helpfully meet the needs of holding big events such as sports events in cities." @default.
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- W3170061402 date "2021-01-01" @default.
- W3170061402 modified "2023-09-23" @default.
- W3170061402 title "Application Status and Prospect of Artificial Intelligence Big Data in Stadium Management" @default.
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- W3170061402 doi "https://doi.org/10.1007/978-981-16-1726-3_97" @default.
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