基于时空聚类的在制品流转状态分析

Analysis of Work-in-Process Logistics State Based on Spatiotemporal Clustering

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。

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.