Design of dynamic system for college students' sports data management based on wearable devices of internet of things

Abstract

Abstract In recent years, with the development of the Internet of Things technology and the popularization of smart phones, wearable devices have gradually expanded their applications. Sensor technology can effectively manage dynamic motion data systems. Wearable devices are widely used in sports, fitness and other fields, and users can use such devices to monitor target movement status data in real time. At present, although contemporary students have a strong sense of movement, they cannot fully understand their physical endurance. Therefore, they can solve this problem by using wearable devices. Under this background, this research completed the construction of the dynamic management system of college students' sports data based on wearable devices by introducing the Internet of Things technology. The system data management module and storage module are implemented by Hadoop end and web end, and can complete data interaction between different ends through set communication methods. Among them, the wearable device system can achieve data collection, use mobile terminals to complete software loading, and use cloud storage technology to achieve data storage. The data transmission process between the three parts is also different. For example, GPRS is used to complete the interaction between the mobile terminal and the data storage module, and Bluetooth can be used to transmit data between the mobile terminal and the device data collection platform. Through the design of simulation experiments, we can know that the system algorithm has good classification accuracy, and can effectively reduce the training model time. This paper completes the dynamic management of sports data for college students by combining wearable devices and Internet of Things technology.