Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics
| Autor: | Yu Bai, Aurelia Chi Wang, Liang Xu, Jianjun Luo, Zhong Lin Wang, Tao Jiang, Qingsong Lai, Ziming Wang, Wei Tang, Fengru Fan, Kai Han |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Big Data
Computer science Science Big data General Physics and Astronomy 02 engineering and technology 010402 general chemistry 01 natural sciences Article General Biochemistry Genetics and Molecular Biology Electric Power Supplies Nanoscience and technology Spectroscopy Fourier Transform Infrared Data_FILES Humans Nanotechnology lcsh:Science Electrodes Triboelectric effect Multidisciplinary business.industry Physics Nanogenerator Data interpretation Equipment Design General Chemistry 021001 nanoscience & nanotechnology Wood Manufacturing engineering Nanostructures 0104 chemical sciences Wear resistance Athletes Data Interpretation Statistical Microscopy Electron Scanning lcsh:Q 0210 nano-technology Internet of Things business Sports |
| Zdroj: | Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019) Nature Communications |
| ISSN: | 2041-1723 |
| Popis: | 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. Intelligent sensing technologies gain interest for the internet of things and applications that require collection and analysis of big data. Here the authors report a flexible and durable wood-based triboelectric nanogenerator for self-powered sensing in athletic big data analytics. |
| Databáze: | OpenAIRE |
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