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基于零部件编码和Hausdorff距离的装配体检索技术研究

Study on Assembly Retrieval Technology Based on Part Coding and Hausdorff Distance
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摘要 装配体检索技术是提高装配体模型复用、提升工业生产力的重要一环。为加快检索速率,提出了新的零部件编码技术和Hausdorff距离的装配体相似度检索模型。首先对装配体零部件属性进行编码,将装配体模型化为数字集合;然后利用改进的Hausdorff距离计算装配体间的距离,以距离远近定义相似度的高低;最后利用实例验证了方法的正确性和有效性。 Assembly retrieval techniques are an important part of improving the reuse of assembly models and enhancing industrial productivity. To speed up the retrieval rate, the assembly similarity retrieval model with parts encoding technique and Hausdorff distance is proposed. Firstly, the assembly parts attributes are encoded to model the assemblies into a numerical set;then the distance between assemblies is calculated using the improved Hausdorff distance, and the similarity level is defined by the distance;finally, the validity and effectiveness of the method are verified by specific examples.
作者 张鵾 ZHANG Kun(School of Mechanical Engineering,Tongling University,Tongling,Anhui 244061,China)
出处 《西昌学院学报(自然科学版)》 2022年第4期60-64,共5页 Journal of Xichang University(Natural Science Edition)
基金 铜陵学院校级科研项目(2021tlxy18)。
关键词 装配体检索 装配体编码 HAUSDORFF距离 assembly retrieval assembly coding Hausdorff distance
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