Robotics and Computer-Integrated Manufacturing ( IF 10.4 ) Pub Date : 2021-05-29 , DOI: 10.1016/j.rcim.2021.102185 Jiazhen Pang , S.K. Ong , A.Y.C. Nee
In an assembly task, stage identification determines the subsequent parts to be assembled and therefore, it affects the quality and efficiency of the entire assembly operation in computer-aided manufacturing. However, due to the similarity between the assemblies in two adjacent stages, it is difficult to distinguish the assembly accurately based on the current visual recognition method. Considering the time and progress logic of assembly procedures, a stage identification method based on the on-site assembly sequence and stage model sequence is proposed. The on-site assembly sequence is generated with the assembly progress to record the history information in the time order and the stage model sequence is preprocessed in the database in the progress order. On the one hand, these two sequences provide the constraints to avoid the inefficient and indistinguishable assembly images to be analyzed. On the other hand, the two sequences contain time and assembly progress logic, which can be used to solve the stage identification issue using an optimal mapping model, so as to improve the identification efficiency. This paper introduces the methodology from three aspects, namely, offline stage model sequence generation, online assembly sequence matching and assembly stage identification. The experiments proved the proposed method can effectively improve the accuracy of real-time assembly stage identification compared with the original object recognition method.
中文翻译:
用于现场装配阶段识别的图像和模型序列匹配
在装配任务中,阶段识别决定了后续要装配的零件,因此它影响计算机辅助制造中整个装配操作的质量和效率。然而,由于相邻两个阶段的装配体之间存在相似性,因此基于目前的视觉识别方法难以准确区分装配体。考虑到装配工序的时间和进度逻辑,提出了一种基于现场装配顺序和阶段模型顺序的阶段识别方法。现场装配序列随装配进度生成,按时间顺序记录历史信息,舞台模型序列按进度在数据库中进行预处理。一方面,这两个序列提供了避免要分析的低效和无法区分的装配图像的约束。另一方面,这两个序列包含时间和装配进度逻辑,可用于使用最优映射模型解决阶段识别问题,从而提高识别效率。本文从离线阶段模型序列生成、在线装配序列匹配和装配阶段识别三个方面介绍了该方法。实验证明,与原始物体识别方法相比,该方法能有效提高实时装配阶段识别的准确率。可以使用最优映射模型解决阶段识别问题,从而提高识别效率。本文从离线阶段模型序列生成、在线装配序列匹配和装配阶段识别三个方面介绍了该方法。实验证明,与原始物体识别方法相比,该方法能有效提高实时装配阶段识别的准确率。可以使用最优映射模型解决阶段识别问题,从而提高识别效率。本文从离线阶段模型序列生成、在线装配序列匹配和装配阶段识别三个方面介绍了该方法。实验证明,与原始物体识别方法相比,该方法能有效提高实时装配阶段识别的准确率。