Artigo Revisado por pares

Data Persistence on Physical Function Monitoring System for Athletes

2014; Trans Tech Publications; Volume: 602-605; Linguagem: Inglês

10.4028/www.scientific.net/amm.602-605.1622

ISSN

2297-8941

Autores

Xue Ying Zhang, Kai Su,

Tópico(s)

Big Data Technologies and Applications

Resumo

You can find out the law of matter and energy metabolism when you are active by means of monitoring the athletes’ physical function, and the law can provide a theoretical basis for the training to achieve scientific training ultimately. Monitoring system can achieve a comprehensive information management for monitorship; data persistence is an important work of building monitoring system, and the paper researches on the NHibernate technology that based on .Net. First, data structure design was conducted based on the SQL Server database management system; then, you can study NHibernate architecture through the graphics; finally, you can carry on persistence design on the "Physiological Indicators" Table according to the persistence steps of NHibernate. Result of this study can be applied to the field of athletic training and has important implications for improving athletic performance, promoting sports development and so on.

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