航空零部件尺寸检测技术应用研究综述OA

Traditional dimensional inspection of aviation components mainly relies on manual measuring tools and contact measuring equipment.Although flexible in operation,it suffers from problems such as low measure-ment efficiency and insufficient stability of measurement accuracy.With the rapid development of computer vi-sion,laser measurement,high-precision coordinate measurement and artificial intelligence technology,the multi-sensor combined measurement method has gradually become an important development trend in the di-mensional inspection of aviation components.Based on the engineering inspection requirements of aviation com-ponents in terms of material properties,structural characteristics and precision requirements,the basic princi-ples,current applications,and applicable scopes of coordinate measurement,laser measurement,machine vi-sion,and combined measuring methods are reviewed and analyzed,and their differences in measurement accu-racy,inspection efficiency,system cost,and online measurement capability are compared.Aiming at the techni-cal dilemmas in aviation component dimensional inspection,including insufficient inspection efficiency,limited online inspection capability,and the inability of single equipment to balance large-size measurement range and high precision,the"cloud-edge-end"collaborative measurement architecture for aviation manufacturing scenar-ios is summarized and elaborated.This architecture realizes a hierarchical collaboration mechanism of rapid ac-quisition at the terminal side,real-time processing at the edge,and global analysis at the cloud,which enhances the capabilities of multi-source data fusion,real-time feedback and quality closed-loop control.It can provide a technical reference for the construction of a high-precision,high-efficiency and high-intelligent dimensional in-spection system for aviation components.