不同赛事冰面平整度测量

冰面平整度对冰的质量有着十分重要的影响，如冰面摩擦系数和热传导系数等。如果冰面不平整，当运动员在冰上运动时，可能会遇到不同程度的阻力，从而影响比赛成绩。冰面平整度的验证主要面向一些需要分析运动机理和优化技术的赛事，包括冰球、冰壶、滑冰等。该测量数据通过高速相机捕获，imageJ软件分析，记录了不同位置处标记点与冰面之间的距离，并通过法兰盘复核，实现了冰面平整度100%。

Ice surface flatness has a critical impact on ice quality, with key parameters including ice friction coefficient and thermal conductivity. Uneven ice surfaces will expose athletes to varying degrees of resistance during on-ice sports, thus negatively affecting their competition performance. The validation of ice surface flatness is mainly targeted at events requiring analysis of sports mechanisms and technical optimization, such as ice hockey, curling, and ice skating. This measurement dataset was captured using high-speed cameras and analyzed via ImageJ software, recording the distances between marker points at different positions and the ice surface. It was verified using flange plates, achieving 100% accuracy in ice surface flatness detection.

搜集汇总

背景与挑战

背景概述

该数据集记录了不同赛事（如冰球、冰壶、滑冰）中冰面平整度的测量数据，通过高速相机和imageJ软件分析，确保冰面平整度达到100%。数据包含8个文件，格式为xlsx、png和docx，总大小为1.29MB，适用于运动机理分析和优化技术研究。