Automatic adjustment method of sports equipment parameters based on dynamic data drive

Abstract

In order to overcome the problems of low sensitivity, large adjustment deviation and low adjustment efficiency existing in the traditional parameter adjustment method of sports fitness equipment, this paper proposes a new automatic parameter adjustment method of squatting fitness equipment based on dynamic data drive. This method analyses the basic elements of sports fitness equipment, and obtains the relevant parameters of squatting fitness equipment. A multi-objective optimisation model is established to optimise the support probability and utilisation rate of spare parts. According to the optimisation results, Kalman filter method is used to fuse the equipment parameters, and the method of random gradient descent and dynamic data-driven is used to adjust the fused parameters. The experimental results show that it has obvious advantages in equipment sensitivity, parameter adjustment deviation and adjustment efficiency. After adjustment, the highest sensitivity of equipment is close to 0.9.