To address critical bottlenecks in the 3D inspection of complex aero-engine multi-assembly and aim-film holes blades, s an integrated high-precision data processing methodology and equipment system was presented.An automatic segmentation method for measurement points of multi-assembly blade based on improved density-based clustering and adaptive K-means++ algorithm is proposed to rapidly identify complex cross-sectional features. A Variance Minimization Matching(VMM) optimization model of minor out-of-tolerance was constructed to achieve high-precision adaptive alignment of blade surfaces. The proprietary software iPoint3D and the HScan/RobotHScan hardware series were developed. Using the above method as the core, software and hardware tools such as the data processing and key feature parameter evaluation software iPoint3D, as well as the series of 3D measurement hardware equipment HScan/RobotHScan, have been developed. These have been validated through typical engineering cases involving aerospace casting blades and high/low pressure turbine blades.. The results indicate that the proposed method achieves precise processing of three-dimensional measurement points for aerospace blades. This effectively resolves challenges in the batch inspection of complex blades, providing critical technical support and engineering solutions for the intelligent manufacturing of core aero-engine components.