| 基于时空聚类的在制品流转状态分析 |
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| 引用本文： | 王益聪,郭宇,黄少华,张蓉,冯上海.基于时空聚类的在制品流转状态分析[J].机械制造与自动化,2020,49(2):12-16. |
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| 作者姓名： | 王益聪 郭宇 黄少华 张蓉 冯上海 |
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| 作者单位： | 南京航空航天大学 机电学院,江苏 南京210016;中航工业江西洪都航空工业集团有限公司,江西 南昌330024 |
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| 基金项目： | 国家自然科学基金;国防基础科研项目 |
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| 摘 要： | 针对离散制造车间制造过程监控的需求,提出一种基于时空聚类的在制品流转状态分析方法。通过改进的动态密度网格聚类方法对车间在制品历史位置数据进行分析处理,获取在制品时空轨迹模型;并通过计算实时数据与模型的改进Hausdorff距离来判断在制品流转状态。以某机加工车间为例,验证该方法的可行性和有效性。
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| 关 键 词： | 离散制造 位置数据 聚类 HAUSDORFF距离 状态分析 |
Analysis of Work-in-Process Logistics State Based on Spatiotemporal Clustering |
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| WANG Yicong,GUO Yu,HUANG Shaohua,ZHANG Rong,FENG Shanghai.Analysis of Work-in-Process Logistics State Based on Spatiotemporal Clustering[J].Machine Building & Automation,2020,49(2):12-16. |
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| Authors: | WANG Yicong GUO Yu HUANG Shaohua ZHANG Rong FENG Shanghai |
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| Affiliation: | (College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;AVIC Jiangxi Hongdu Aviation Industry Group Company Ltd.,Nanchang 330024,China) |
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| Abstract: | Aiming at the demands for manufacturing process monitoring in the discrete manufacturing workshops,an analysis method of Work-in-Process logistics state based on spatiotemporal clustering is proposed.The historical location data collected in the manufacturing process is processed by the modified grid-based clustering method,and the spatio-temporal model of Work-in-Process is established,then the real-time data and the modified Hausdorff distance of the model are calculated for judging the logistics state of Work-in-Process.The machining workshop is taken for example,and the feasibility and effectiveness of this method are verified. |
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| Keywords: | discrete manufacturing location data clustering Hausdorff distance state analysis |
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