体能训练多传感器信息整合系统
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陕西省体育科研常规课题(2020323)


Multi-sensor Information Integration System for Physical Fitness Training
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    摘要:

    为有效提高运动员的体能运动信息的管理能力,设计无线传感器网络环境下的运动员训练信息整合系统。硬件设计主要包括信息数据库模块、程序加载模块、人机交互模块以及无线传感器网络环境下的拓扑控制模型,构成系统的基础架构,确保数据的存储、处理、交互及网络传输的顺畅进行。通过多传感器信息跟踪模型软件,实现运动员体能训练信息的准确追踪;利用特征重合模型对聚合后的信息进行去重处理,减少冗余信息的传输与存储,并结合传输优化系数,实现运动员体能训练信息的多传感器整合传输调度;利用区块融合度函数与线性规划函数,实现多传感信息的有效整合。实验结果表明:信息整合的输出增益达到98.277%,整合耗时维持在4 s左右,具有较好的实用性。

    Abstract:

    In order to effectively improve the athletes' physical fitness and the management ability of sports information, the athletes' training information integration system based on wireless sensor network is designed. The hardware design mainly includes the information database module, the program loading module, the human-computer interaction module and the topology control model under the wireless sensor network environment, which constitute the basic architecture of the system and ensure the smooth operation of data storage, processing, interaction and network transmission. Through the multi-sensor information tracking model software, the accurate tracking of athletes' physical training information is realized; the feature coincidence model is used to de-duplicate the aggregated information, reduce the transmission and storage of redundant information, and combine with the transmission optimization coefficient to realize the multi-sensor integrated transmission scheduling of athletes' physical training information; The effective integration of multi-sensor information is realized by using the block fusion degree function and linear programming function. The experimental results show that the output gain of information integration reaches 98.277%, and the integration time is maintained at about 4 s, which has good practicability.

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代 楠.体能训练多传感器信息整合系统[J].,2025,44(07).

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  • 收稿日期:2024-09-25
  • 最后修改日期:2024-10-28
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  • 在线发布日期: 2025-08-28
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