基于人工智能技术的学生体质监测数据存储系统设计

Song Yan
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引用次数: 0

摘要

随着以大数据分析、人工智能、区块链等为代表的新兴信息技术的快速发展,人类社会进入了大数据时代,数据处理能力显著增强,海量、碎片化、有价值的数据成为可能。为了实现价值的快速加工和释放,大数据的发展和应用引起了社会结构的深度调整。大数据技术使学生身体健康数据的动态监测成为现实。大数据资源和信息资源呈指数级增长,为学生身体健康管理提供了有效依据。为了解决大数据时代学生体质监测的数据存储问题,本文基于数据库设计理论设计了数据存储结构,并提出了促进大数据时代学生体质健康的对策。
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Design of a Data Storage System for Students' Physical Fitness Monitoring Based on Artificial Intelligence Technology
With the rapid development of emerging information technologies represented by big data analysis, artificial intelligence, and blockchain, human society has entered the era of big data, and data processing capabilities have been significantly enhanced, enabling massive, fragmented and valuable data. To carry out rapid processing and release value, the development and application of big data has caused the deep adjustment of the social structure. Big data technology makes dynamic monitoring of students’ physical health data reality. Big data resources and information resources have increased exponentially, providing the effective basis for students’ physical health management. In order to solve the problem of data storage of students’ physique monitoring in the era of big data, this paper designs the data storage structure based on the theory of database design, and proposes countermeasures to promote students’ physical health in the era of big data.
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