锻压技术

基于大数据的锻造生产过程模型的搭建与分析

英文标题：Construction and analysis on forging production process model based on big data

作者：邓盛彪张宏涛孙勇苏子宁凌云汉

单位：1.北京机电研究所有限公司北京 100083 2.湖北三环锻造有限公司湖北襄阳 441700

关键词：智能化锻造生产过程大数据 Kmeans

分类号：TP391.9

出版年,卷(期):页码：2019,44(5):174-179

摘要：

锻造生产车间中的工业大数据是重要资源，可实时反映出当前锻造生产过程中所反映的状态，然而有些锻造生产厂往往会产生数据采集不上来、数据无法利用等瓶颈。针对这些问题，在基于智能制造新模式的背景下，采集到了锻造实时全流程数据，对影响产品的各质量数据类型进行了归纳总结，分析了各因素对产品质量的影响，利用特征提取等一系列方法，对锻造生产过程中的几个主要影响因素进行分析。在找出影响锻造过程数据的几种重要因素的基础上，针对某一种情况运用Kmeans算法对该流程进行了验证，得出了准确的生产模型。

Industrial big data in the forging production workshop is an important resource, which can reflect the status of the current forging production process in realtime. However, some forging production plants often have bottlenecks such as data collection and data utilization. For these problems, based on the new model of intelligent manufacturing, the data of forging fullprocess in realtime were collected, and the types of quality data affecting products were summarized. Furthermore, the influences of various factors on product quality were analyzed, and several main influencing factors in forging process were analyzed by a series of methods such as feature extraction. Based on the identification of several important factors affecting the data of forging process, the process for a certain situation was verified by the Kmeans algorithm, and an accurate production model was obtained.

基金项目：

国家科技重大专项课题(2018ZX04024-001）

作者简介：邓盛彪（1994-），男，硕士研究生 Email：547100416@qq.com 通讯作者：孙勇（1971-），男，博士，研究员 Email：sun_yong_89@163.com

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