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Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics.
Nature Communications ( IF 14.7 ) Pub Date : 2019-11-26 , DOI: 10.1038/s41467-019-13166-6
Jianjun Luo 1, 2 , Ziming Wang 1, 2 , Liang Xu 1, 2 , Aurelia Chi Wang 3 , Kai Han 1, 2 , Tao Jiang 1, 2 , Qingsong Lai 1, 2 , Yu Bai 1, 2 , Wei Tang 1, 2 , Feng Ru Fan 4 , Zhong Lin Wang 1, 2, 3
Affiliation  

In the new era of internet of things, big data collection and analysis based on widely distributed intelligent sensing technology is particularly important. Here, we report a flexible and durable wood-based triboelectric nanogenerator for self-powered sensing in athletic big data analytics. Based on a simple and effective strategy, natural wood can be converted into a high-performance triboelectric material with excellent mechanical properties, such as 7.5-fold enhancement in strength, superior flexibility, wear resistance and processability. The electrical output performance is also enhanced by more than 70% compared with natural wood. A self-powered falling point distribution statistical system and an edge ball judgement system are further developed to provide training guidance and real-time competition assistance for both athletes and referees. This work can not only expand the application area of the self-powered system to smart sport monitoring and assisting, but also promote the development of big data analytics in intelligent sports industry.

中文翻译:

灵活耐用的木质摩擦电动纳米发电机,用于运动大数据分析中的自供电传感。

在物联网的新时代,基于广泛分布的智能传感技术的大数据收集和分析尤为重要。在这里,我们报告了一种灵活耐用的木质摩擦电动纳米发电机,用于体育大数据分析中的自供电传感。基于简单有效的策略,天然木材可以转换为具有出色机械性能的高性能摩擦电材料,例如强度提高7.5倍,柔韧性,耐磨性和可加工性增强。与天然木材相比,电气输出性能也提高了70%以上。进一步开发了自供电的下降点分布统计系统和边缘球判断系统,以为运动员和裁判员提供训练指导和实时比赛帮助。
更新日期:2019-11-27
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