基于大数据技术的排球拦网能力评估与预测模型构建  

Evaluation and Prediction Model Construction of Volleyball Blocking Ability Based on Big Data Technology

作　　者：覃珍燕 QIN Zhenyan(Guangxi Arts and Crafts School,Liuzhou Guangxi 545005,China)

机构地区：[1]广西工艺美术学校,广西柳州545005

出　　处：《冰雪体育创新研究》2024年第23期169-171,共3页Research on innovation of ice snow sports

摘　　要：该文提出了一种基于大数据技术的排球拦网能力评估与预测模型。该模型通过收集和分析大量的比赛数据,建立了一个综合评估和预测拦网能力的框架。研究发现,运动员的反应速度和预判能力是影响拦网效果的两个关键因素,该文针对这两项能力提出了具体的训练建议,为排球运动员的选材和训练提供了依据。该模型具有良好的可操作性和实用价值,可为教练和球员提供有针对性的评估和反馈,促进排球运动水平的整体提升。This article proposes a volleyball blocking ability evaluation and prediction model based on big data technology.This model establishes a comprehensive framework for evaluating and predicting blocking ability by collecting and analyzing a large amount of competition data.Research has found that athletes' reaction speed and predictive ability are two key factors affecting blocking effectiveness.This article proposes specific training recommendations for these two abilities,providing a basis for the selection and training of volleyball players.This model has good operability and practical value,and can provide targeted evaluation and feedback for coaches and players,promoting the overall improvement of volleyball sports level.

关 键 词：大数据技术 排球拦网 能力评估 反应速度 预判能力 

分 类 号：G842[文化科学—体育训练]