面向人机协作装配单元布局的知识图谱驱动方案生成方法
Journal: Engineering and Management Science DOI: 10.32629/ems.v8i5.20362
Abstract
针对人机协作装配布局设计中知识分散、约束不统一、方案依赖经验的问题，本文提出一种知识图谱驱动的布局生成方法：构建包含产品、工艺、资源与需求的人机协作知识图谱，形成统一语义网络；基于图谱路径相似推理筛选候选资源配置与布局原型，并将其转化为遗传算法的候选集、参数边界与约束，实现连续布局方案生成。在电池包装配案例实验验证，所得Nest型布局方案使生产节拍降低 13.75%，物流路径长度降低9.68%，协作空间利用率提高4.5%。
Keywords
人机协作装配单元；知识图谱；布局方案生成；遗传算法
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[10] Gualtieri L, Rauch E, Vidoni R. Emerging research fields in safety and ergonomics in industrial collaborative robotics: A systematic literature review[J]. Robotics and Computer-Integrated Manufacturing, 2021, 67: 101998.
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[12] Lao N, Cohen W W. Relational retrieval using a combination of path-constrained random walks[J]. Machine Learning, 2010, 81(1): 53-67.
[13] Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.
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