Big Data Modeling Analysis Method for Intelligent Production Maintenance

Abstract

Abstract: Starting from the big data application characteristics of current discrete manufacturing processes in workshops, big data collection and processing analyses of the manufacturing processes were realized based on intelligent Agent of the workshops. A big data acquisition model of the manufacturing processes was established to realize the encapsulation of process data set. A clustering-based method was used to perform the outlier detection mark on the process data set to realize the description and quantification of production states of the manufacturing resources. A process level data feature model was established, and an improved similar element analysis method was used to realize the similarity evaluation of multi-level packaging description and manufacturing process of the process data. A underlying intelligent management system of the workshop was developed and applied to the actual productions of the enterprises.

Key words: data preprocessing, Agent, big data, discrete manufacturing

摘要： 从当前的车间离散制造过程大数据应用特性出发，基于车间智能代理，实现了制造过程大数据的采集、处理分析，建立的制造过程大数据采集模型可实现对工序数据集的封装。采用基于聚类的方法对工序数据集进行离群点检测标记，实现对制造资源生产状态的描述与量化。建立了工序级数据特征模型，结合改进的相似元分析方法，对工序过程数据多层次包装描述和制造工序的相似性进行了评价。开发了车间底层智能管理系统，并将其运用于企业生产实际。

关键词: 数据预处理, 代理人, 大数据, 离散制造

CLC Number:

TP274

LIU Weijie, JI Weixi, ZHANG Chaoyang, . Big Data Modeling Analysis Method for Intelligent Production Maintenance[J]. China Mechanical Engineering.

刘伟杰, 吉卫喜, 张朝阳, . [数据建模]面向智能生产维护的大数据建模分析方法[J]. 中国机械工程.

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