为了实现航天用O形密封圈的智能化全自动测量与检测，建立了双工位智能测量与检测系统，研究了大量程测量与曲面缺陷检测系统集成方案以及测量路径自主规划技术。首先，针对O形圈的柔性结构、曲面外形以及内径与截面直径之比跨度大的特点，提出基于多视场协同的双工位智能测量与检测方案，介绍了系统集成方法及其工作原理。然后，根据密封圈在大视场中的全景图信息及检测路径规划基本准则，导出了通用的小视场图像采集路径计算方法。最后，建立了密封圈检测路径的物理坐标与大视场图像坐标的映射关系，实现了系统的智能化全自动检测。实验结果表明：本集成方案能够对外形尺寸为Φ5.4~Φ140 mm的O形圈进行智能化自主测量与检测，实际检测路径的位置与理想位置之间的平均误差为0.086 mm；与手工测量和检测相比，效率提高了20倍以上，能够满足航天用精密密封圈的智能、高效、全自动测量与检测要求。

To achieve the intelligent and automatic measurement and detection of ‘O’ rings used in aerospace systems, a double-station intelligent measuring and detecting system was established. The integrating method of wide-range measurement and defect detection in curved surfaces was proposed, and the autonomous measuring path planning technology was investigated. Aiming at the flexible structure and the curved surface shape of ‘O’ rings and the wide range of the ratio between the inner diameter and the section diameter, an intelligent measuring and detecting scheme of double-station based on the cooperation of multiple fields of view (FOV) was proposed. The system integrating method and its working principle were introduced. Then, according to the information extracted from the panoramic image of the ‘O’ rings in the large FOV and the basic rule of path planning, the general calculating method of the acquisition path of small FOVs was derived. Finally, the mapping relationship between the position coordinates of detecting path and their image coordinates in the large FOV was established to realize the intelligent and automatic detection of ‘O’ rings. The experiment results show that the proposed scheme realizes the autonomous measurement and detection of ‘O’ rings whose inside diameters are in the range of Φ5.4-Φ140 mm. The average error between actual and ideal locations of detecting path is 0.086 mm. Compared with manual measuring and inspecting, the efficiency has been improved by more than 20 times. It satisfies the smart, efficient and automatic requirements of measuring and detecting precise sealing rings used in aerospace systems.