Lumber Piezoelectric Material Nanogenerators that are Adaptable and Robust for use in Sporting Big Data Statistics

Big data gathering and analysis built on geographically spread artificial smart sensors is especially crucial in the new generation of the internet of everything. In this article, we present a flexible and robust wood-based piezoelectric material nanostructures for identity sense in big data analytics for sports. Natural wood may be transformed into a greater piezoelectric effect material with superior mechanical characteristics, including a 7.5-fold enhancement in strength, greater flexibility, high hardness, and degradability, built on a straightforward and successful technique. When compared to the natural wood, the electrical capability is also improved by more than 70%. To provide training advice and real-time competition aid to sportsmen and umpires, additional development is made to a self-powered falling point distribution statistics system and also an edging edge judging system. This study may advance the growth of big data analytics in the intelligence sports business in addition to broadening the applicability space for identity systems to smart sport observation and assistance.