[成形过程的数据挖掘与深度学习方法]塑料注射成形智能技术及其应用

doi:10.3969/j.issn.1004-132X.2020.22.011

摘要/Abstract

摘要： 总结了当前塑料注射成形的产业需求和技术瓶颈，阐明了未来的发展趋势。根据塑料注射成形特性，提出“注射成形智能制造体系”的科学框架，建立以传感技术、工业以太网及互联网为基础的智能注射成形解决方案。围绕智能设计、智能优化、智能监控及制造数据平台四个层面，总结了注射成形中知识的组织与重用、自主决策与优化、过程感知与检测及云服务等技术，为实现塑料注射成形与新一代人工智能技术的深度融合指出了重要发展方向。

关键词: 塑料, 注射成形, 智能技术, 数据挖掘, 云制造

Abstract: The current industrial needs and technical bottlenecks of plastic injection molding, and the clarified future development trend were summarized. According to the characteristics of plastic injection molding, a scientific framework of the “intelligent manufacturing system of injection molding” was proposed, and the intelligent injection molding solutions based on sensor technology, industrial Ethernet and internet were established. Focusing on four levels, i.e. intelligent design, intelligent optimization, intelligent monitoring and manufacturing data platform, the knowledge organization and reuse, independent decision-making and optimization, process sensing and detection, cloud service and other technologies in injection molding were summarized, and the important development directions for the deep integration of plastic injection molding and new generation artificial intelligence technologies were pointed out.

Key words: plastic, injection molding, intelligent technology, data mining, cloud manufacturing

中图分类号:

TQ320.66

李阳, 郭飞, 李茂源, 张云, 李德群. [成形过程的数据挖掘与深度学习方法]塑料注射成形智能技术及其应用[J]. 中国机械工程, DOI: 10.3969/j.issn.1004-132X.2020.22.011.

LI Yang, GUO Fei, LI Maoyuan, ZHANG Yun, LI Dequn. Intelligent Technology of Plastic Injection Molding and Its Applications[J]. China Mechanical Engineering, DOI: 10.3969/j.issn.1004-132X.2020.22.011.

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链接本文: http://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2020.22.011

http://www.cmemo.org.cn/CN/Y2020/V31/I22/2734

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