Research on BP Neural Network Normalization Algorithm Based on Snow Friction Coefficient

The 2022 Winter Olympics will be held in Beijing, and skiing is one of the sports. Athletes want to achieve excellent results, in addition to their own ability, they will also be affected by temperature, humidity, wind speed, wind direction, snow friction coefficient, snow angle and so on. In this paper, a set of snow field environment measurement device and BP neural network normalization algorithm based on snow surface friction coefficient are designed. The device is equipped with temperature and humidity sensor, wind speed and direction sensor, inclination sensor, tension sensor and IMU sensor to measure the environmental parameters of snow field. The tester uses this device to measure the environmental parameters of the snow field in the snow field and display them on the QT interface in real time, so as to provide effective scientific reference for coaches and athletes and improve the competitive performance of athletes.