【作者】 刘元田；

【导师】 熊开宇；

【作者基本信息】 北京体育大学 ， 运动人体科学， 2003， 硕士

【摘要】 研究如何运用计算机来实现自行车运动员选材指标的快速查询与评价功能，是当前亟需解决的一个重要课题。开发编写基于计算机的自行车运动员选材指标查询与评价软件，对方便教练员的信息决策，提高自行车运动员选材指标查询与评价工作的效率具有理论与实践意义。 传统的自行车运动员选材评价需要人工由评价标准表查出各项指标得分后再相加得到总分，速度慢，效率低，统计排序困难，很不适应大规模的自行车运动员选材指标查询与评价工作的要求。 本研究通过查阅大量文献资料进行分析和比较，确定以“中国自行车运动员机能评定研究组”制定的优秀自行车运动员机能评定标准作为自行车运动员选材指标查询与评价软件的国内优秀自行车运动员评价依据，以Robert B.Arnot和Charles L.Gaines制定的优秀自行车运动员评定标准作为软件的世界优秀自行车运动员评价依据，初步制定自行车运动员选材指标查询与评价应用程序设计方案，并运用VB语言按照设计方案成功编写自行车运动员选材指标查询与评价软件。 自行车运动员选材指标查询与评价软件既可以对某一运动员选材指标测试数据自动评分，给出指标评价等级，计算指标评价总得分，也可以对同一运动专项、同一年龄组的所有运动员的指标评价总得分快速统计排序，实现自行车运动员选材指标评价、统计、排序、查询的自动化，达到准确高效、方便快捷的目的。本软件界面友好、输入方便、统计灵活、排序简便，对实现大面积自行车运动员选材有现实指导意义。 由于在以往的自行车运动员选材测试中很少采用Wingate无氧实验进行无氧功率测试，所以本研究采用Wingate法对128名男、女青少年自行车运动员进行无氧能力测试，建立14岁—16岁女子与15岁—17岁男子的Wingate无氧功率评价标准，并作为青少年自行车运动员Wingate无氧功率指标的评价依据应用于自行车运动员选材指标查询与评价软件。 通过初步验证，本研究设计与编写的自行车运动员选材指标查询与评价软件，能够完成对测试数据的快速评价、储存、查询、编辑、打印、统计、排序等功能，并且评价准确，查询方便，报表灵活，统计快捷。 自行车运动员选材指标查询与评价软件的准确性、高效性、便捷性明显高于传统的选材评价操作方式，省时省力，简便易用，是进行自行车运动员选材指标查询与评价的有效工具，有一定的实用价值。更多还原

【Abstract】 Purpose: The aim of this study is to design and work out a program for the indexing and evaluating work in cyclists’ talent identification tests instead of the traditional ones. Talent identification and development is well recognized by sport as one of the key factors in conducting successful elite programs. Large area and repeating more frequently indexing and evaluating in cyclists’ talent identification tests need more simple and efficient computer-based software. Therefore, coaches can be equipped with a more convenient tool which leads to the high accuracy and efficiency for their decision-making.Methods: In this study ,we consulted and analyzed a lot of literature and data. According to analysis of literature and data, criteria of cycling from <Handbook of functional for elite athletes> maded by researchers of functional evaluation for elite cyclists and from <Sports talent> maded by Robert B. Amot and Charles L. Gaines have been used in order to provide reference for indexing and evaluating software in cyclists’ talent identification tests.In this study ,we exerted the usually used program language Visual Basic to design and work out indexing and evaluating software in cyclists’ talent identification tests. The software was then applied to the indexing and evaluating work of young cyclists’ talent identification tests.In this study ,we made the testing experiment of Wingate of 128 young cyclists. After examined we analyzed statistically 92 young cyclists’ Peak Power and Mean Power (male totaled 35, age between 15-17 years old, female totaled 57, age between 14-16 years old) and made the evaluating Wingate standard in order to provide reference for indexing and evaluating software in young cyclists’ talent identification tests.Results:In this software, we can input the data of the cyclists’talent identification tests, and evaluate their sports talent, we can save, modify, delete and index their datas, we can create report forms which result were analyzed statistically. The efficiency cf indexing and evaluating software in cyclists’ talent identification tests would be greatly improved and it was will suited for the need of today cyclists’ talent identification tests.According to statistical analysis, we made the evaluating Wingate standard in order to provide reference for indexing and evaluating software in young cyclists’ talent identification tests. It is easy for the young to evaluate their Wingate Power. Conclusion: The convenience, accuracy, and repeatability of this indexing and evaluating software in cyclists’ talent identification tests significantly preceded that of the traditional method. All of these advantages make it better for research tool.更多还原