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Monitoring of ocean surface circulation and swimming athletes’ physical training data based on IoT perception
Arabian Journal of Geosciences ( IF 1.827 ) Pub Date : 2021-07-24 , DOI: 10.1007/s12517-021-07835-4
Fengbin Wu 1
Affiliation  

The Internet of Things is the real-time collection of the connection relationship between two interactive objects and all kinds of information required by the Internet through the sensing, positioning, and identification of existing technologies. In the four-level structure of the Internet of Things, the perception layer, recognition layer, and control layer of the Internet of Things are discussed as the focus in this article. It is the bridge architecture between our real world and the currently popular network world. It is the Internet of Things, the original source of perception. In this paper, the absolute geophysical flow field of the North Pacific Ocean is calculated based on the temperature and salinity data of the ocean surface circulation data and the geophysical flux analysis method, and the structure of the ocean surface circulation is described and analyzed. In addition, we analyzed the results of the currently popular coupled climate model and discussed the simulation effect of the North Pacific circulation structure on the coupled climate model and the corresponding regional ocean circulation transport. Therefore, based on literature, mathematical statistics, and knowledge graphs, this research discusses the gap between the theoretical and practical research of swimming training and the training concepts of the world’s leading swimmers, and the shortcomings of the world’s swimming concepts in practical exploration, and put forward some suggestions for the theoretical research and practice in the field of swimming training in the future. The difference in sports performance mainly depends on the scientific level of sports training. How to efficiently implement data monitoring during the entire sports training process is an important guarantee for improving the scientific level of training. Many scientists have studied the scientific monitoring of the physical exercise process from different aspects. For the same problem, there are also experts who propose to conduct research from multiple levels and multiple aspects.



中文翻译:

基于物联网感知的海面环流和游泳运动员体能训练数据监测

物联网是通过现有技术的传感、定位、识别,实时采集两个交互对象之间的连接关系以及互联网所需的各种信息。在物联网的四级结构中,物联网的感知层、识别层、控制层作为本文重点讨论。它是我们现实世界和当前流行的网络世界之间的桥梁架构。它是物联网,感知的原始来源。本文根据海面环流数据的温度和盐度数据,结合地球物理通量分析方法,计算出北太平洋绝对地球物理流场,描述和分析了海洋表面环流的结构。此外,我们分析了目前流行的耦合气候模式的结果,讨论了北太平洋环流结构对耦合气候模式和相应区域海洋环流输运的模拟效果。因此,本研究基于文献、数理统计和知识图谱,探讨游泳训练理论与实践研究与世界领先游泳运动员训练理念的差距,以及世界游泳理念在实践探索中的不足,以及对今后游泳训练领域的理论研究和实践提出一些建议。运动成绩的差异主要取决于运动训练的科学水平。如何在整个运动训练过程中高效实施数据监控,是提高训练科学化水平的重要保障。许多科学家从不同方面对体育锻炼过程的科学监测进行了研究。对于同样的问题,也有专家提出多层次、多方面的研究。

更新日期:2021-07-24
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