Aiming at the energy efficiency maximization of wireless powered MEC system based on NOMA, we considered the application of nonlinear energy harvesting to mobile devices, and proposed a NOMA based resource allocation scheme for wireless powered MEC systems. This scheme This mode effectively improved the system computing energy efficiency by jointly optimizing the calculation frequency, execution time, base station transmission power, equipment transmission power, offloading time and energy collection time of MEC server and mobile equipment. We transformed the joint optimization problem into a nonconvex fractional programming problem, and then designed an iterative algorithm based on Dinkelbach to obtain the optimal resource allocation scheme. The comparative simulation experiment results show that proposed resource allocation scheme can achieve high system energy efficiency and effectively improve system performance.