Study on the Optimization and Adjustment Scheme of the Consumption Structure of Sports Goods in China Driven by Fitness

Lei Lei1, Suo Peng2

1Dept. of Physical Education, Northwest A&F University, Xianyang, 712100, China

2Shandong Sport University, Jinan, 250001, China

Abstract: In the study of the optimization and adjustment scheme of the consumption structure of physical products under the driving of physical fitness, there are some shortcomings such as low accuracy of data analysis and high roughness of the optimization and adjustment. Therefore, the optimization and adjustment scheme of the consumption structure of physical products under the driving of physical fitness is proposed. The group intelligent algorithm is introduced to establish the hierarchical structure of sports goods consumption driven by fitness, and the parameters of the research model are determined to realize the construction of the research model of the optimization of sports goods consumption structure driven by fitness. Depends on the building model, and realize the rationalization of sports consumption to promote product structure research, sports consumption stimulate industrial optimization of ontology sports industry system research, consumption highlights leading industry upgrading comprehensive sports industry structure study, sports consumption to promote the sports industry structure equilibrium, driven by complete fitness sports goods consumption structure adjustment scheme optimization research in China. The experimental data show that the proposed optimization and adjustment research scheme is more accurate in data analysis than the conventional optimization and adjustment research scheme, and the roughness of the optimization and adjustment scheme is reduced by 36.9%, which is suitable for the study of the optimization and adjustment scheme of the consumption structure of physical supplies in China driven by fitness.

Keywords: Fitness driven; Sporting goods; Consumption structure; Optimize and adjust; Programme studies; Intelligent algorithms; Sports consumption