With the development of Internet of things technology, the combination of Internet of things technology and sports competition parameter collection technology, so as to carry out rapid and accurate retrieval and positioning of technology and tactics, has innovation in the current research field. In the high-level table tennis competition, the use of technology and tactics is closely related to the gain and loss of points. At present, the traditional table tennis video mining algorithm has some problems such as low efficiency and poor performance of optimization classification. Based on this, this article introduces the big data platform of the wireless sensor networks to construct the table tennis match database, realizing the real-time updating of table tennis match parameters and the call of historical data at any time. Then establishing a data mining model to realize the data and dynamic analysis of table tennis matches. Finally, based on this strategic analysis system, the data collected from two table tennis competitions are simulated, and the tactical recommendation of theoretical analysis is obtained, which provides a theoretical basis for the digitization of table tennis sports.

中文翻译：

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无线传感器网络环境下基于数据挖掘的乒乓球技术改进

随着物联网技术的发展，将物联网技术与体育比赛参数采集技术相结合，对技术战术进行快速准确的检索和定位，在当前研究领域具有创新性。在高水平乒乓球比赛中，技术和战术的运用与得分的得失密切相关。目前，传统的乒乓球视频挖掘算法存在优化分类效率低、性能差等问题。基于此，本文引入无线传感器网络大数据平台构建乒乓球比赛数据库，实现乒乓球比赛参数的实时更新和历史数据的随时调用。然后建立数据挖掘模型，实现乒乓球比赛的数据和动态分析。最后，基于该战略分析系统，对两场乒乓球比赛采集的数据进行模拟，得出理论分析的战术建议，为乒乓球运动数字化提供理论依据。