Simulation of plain rainfall runoff and monitoring of basketball players’ sports fatigue based on heterogeneous computing

Abstract

In-depth understanding of the core content of LDPC code aligned cvqkd, and in-depth study of SEC protocol-based coordination process and multidimensional data coordination. Aiming at the problem of long code length and low coordination rate caused by multiple iterations of decoding algorithm in coordination process, a heterogeneous OpenCL platform is proposed to facilitate heterogeneous computing and differential code. The platforms involved are CPU / GPU and CPU / FPGA. Then, the IFAS model uses the uncorrected radar precipitation data to simulate the runoff process, and there are many errors in the simulation results. The IFAS model combined with the corrected precipitation radar data can simulate the discharge process of the upper reaches of the X river with high accuracy. This shows that the use of the data has a basin specific practicability for correcting the radar precipitation data in measuring the plain rainfall near the small river basin; the corrected precipitation radar data can be used as plain rainfall data in IFAS model; finally, this paper studies the influence of sports fatigue on basketball players' free throw, and provides a lot of theoretical basis for exploring the biomechanical mechanism of sports fatigue in free throw and avoidance mechanism. The results show that the bending angles of the wrist and knee do not change before and after fatigue, but the angular velocity of the knee changes significantly. During the picking process of wrist and fingers, the flexion angle of hip joint changed significantly before and after fatigue. At the same stage, the bending angle or angular velocity of shoulder joint did not change significantly. Based on the heterogeneous computing of runoff simulation, combined with relevant materials and research, this paper has a good effect on the development of athletes’ fatigue detection technology.