关键词: 边云协同, 增强现实, 智能维修, 跟踪注册, 远程专家

Abstract: wing to the lack of experience and visual auxiliary maintenance instructions,the improper maintenance was easy to occur.To address these issues,an intelligent maintenance method based on edge-cloud collaboration and wearable Augmented Reality(AR)was proposed.To overcome the loss of attitude tracking in maintenance scene with rich texture,the adaptive information entropy and sharpening adjustment algorithm was fused with the traditional Oriented Brief-Simultaneous Localization and Mapping(ORB-SLAM2).Besides,augmented reality was applied process human-computer interaction information during maintenance,and an industrial AR cloud platform was constructed to run the improved ORB-SLAM2 algorithm to obtain accurate poses.Meanwhile,the high-precision feature extraction and 3D registration could be realized through the edge-cloud collaboration computing framework.On this basis,faulty parts which needed to be repaired could be highlighted and description of maintenance process could be guided through enhanced visualization.Additionally,a remote expert system was constructed to solve the failure of unknown root causes,and the remote maintenance was realized.The comparison experiment of real cases in the workshop showed that the proposed method could effectively improve the efficiency and reliability of maintenance personnel.

Key words: edge-cloud collaboration, augmented reality, intelligent maintenance, tracking registration, remote expert