Efficient numerical control (NC) machining is the development trend of aero-engine blade production. In this thesis, a fast process benchmark preparation technology is proposed to solve the problem that it is difficult to achieve efficient machining due to the lack of benchmarks in the current NC machining of casting blades. Firstly, the blade profile data is quickly obtained by on-machine measurement or special measuring tools. Secondly, the fitness function with penalty term is designed, and the improved particle swarm optimization (PSO) algorithm is used to register the blade profile data and the blade theoretical model. Then, the process benchmark is prepared on the blade tenon or auxiliary fixture based on the blade body profile to ensure the accuracy, rapidity and reliability of blade clamping in subsequent NC machining. Finally, it is verified by examples that this technology can quickly and accurately realize the preparation of casting blade benchmarks, which meets the high-efficiency production requirements of casting blades.