塑料工业2024,Vol.52Issue(2) :86-90.DOI:10.3969/j.issn.1005-5770.2024.02.013

注塑产业离散制造智能感知与控制关键技术及应用

Key Technologies and Applications of Intelligent Sensing and Control in Discrete Manufacturing in Injection Molding Industry

陈猛 董岱 逄鹏博 梁健民 胡颖瑜 李松晶
塑料工业2024,Vol.52Issue(2) :86-90.DOI:10.3969/j.issn.1005-5770.2024.02.013

注塑产业离散制造智能感知与控制关键技术及应用

Key Technologies and Applications of Intelligent Sensing and Control in Discrete Manufacturing in Injection Molding Industry

陈猛 1董岱 2逄鹏博 3梁健民 1胡颖瑜 1李松晶4
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作者信息

  • 1. 震德塑料机械有限公司,广东佛山 528300
  • 2. 南京工业职业技术机械工程学院,江苏南京 210023
  • 3. 震雄机械(深圳)有限公司,广东深圳 518122
  • 4. 哈尔滨工业大学机电工程学院,黑龙江哈尔滨 150006
  • 折叠

摘要

在全面推进制造业信息化和智能化的背景下,针对注塑产业离散制造现状,开展注塑离散制造过程的自主感知与控制关键技术研究.本文对注塑装备各功能模块的工艺结构进行升级改造,研究大数据运行过程关键数据的自主感知、缺陷在线采集和智能识别、生产任务自组织调度、装备智能控制策略自适应调整和装备上云智能化管理平台,实现生产过程智能化监控、管理、服务和维护的注塑全新工艺,助力大型企业注塑车间无人化作业实现,提高下游产业注塑产品质量,实现塑机装备产品的智能化提升.

Abstract

In the context of comprehensively promoting the informatization and intelligence of the manufacturing industry,and in light of the current situation of discrete manufacturing in the injection molding industry,research on key technologies for autonomous sensing and control of the plastic discrete manufacturing process was carried out.The technological structure of each functional module of injection molding equipment was upgraded and transformed,and research was conducted on the autonomous perception of key data during the operation of big data,online defect collection and intelligent recognition,self-organized scheduling of production tasks,adaptive adjustment of equipment intelligent control strategies,and intelligent management platform for equipment cloud.The new injection molding process of intelligent monitoring,management,service and maintenance of the production process was realized,which helped to realize unmanned operation in the injection molding workshop of large enterprises,improved the quality of injection molding products in downstream industries,and realized the intelligent improvement of plastic machine equipment products.

关键词

注塑产业/离散制造/智能感知/数据分析和优化/智能控制

Key words

Injection Molding Industry/Discrete Manufacturing/Intelligent Perception/Data Analysis and Optimization/Intelligent Control

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出版年

2024
塑料工业
中蓝晨光化工研究院有限公司

塑料工业

CSTPCDCSCD北大核心
影响因子:0.685
ISSN:1005-5770
参考文献量10
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