|本期目录/Table of Contents|

[1]刘 畅,葛达明,徐振伟,等.基于3C行业自动化智慧工厂应用[J].工业仪表与自动化装置,2024,(02):44-48.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.008]
 LIU Chang,GE Daming,XU Zhe Wei,et al.Application research of automated smart factory based on 3C industry[J].Industrial Instrumentation & Automation,2024,(02):44-48.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.008]
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基于3C行业自动化智慧工厂应用(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2024年02期
页码:
44-48
栏目:
出版日期:
2024-04-15

文章信息/Info

Title:
Application research of automated smart factory based on 3C industry
文章编号:
1000-0682(2024)02-0044-05
作者:
刘 畅1葛达明1徐振伟2赵志强1
(1.沈阳新松机器人自动化股份有限公司,辽宁 沈阳 110000;2.浙江水利水电学院,浙江 310000)
Author(s):
LIU Chang1GE Daming1XU Zhe Wei2ZHAO Zhiqiang1
(1. SIASUN ROBOT & AUTOMATION CO.,LTD,Liaoning Shenyang 110000,China; (2. Zhejiang Institute of Water Resources and Hydropower,Zhejiang 310000 China)
关键词:
自动化机器人智能工厂控制系统数字孪生
Keywords:
automationrobotics smart factoriecontrol systemsdigital twins
分类号:
TP278
DOI:
DOI:10.19950/j.cnki.CN61-1121/TH.2024.02.008
文献标志码:
A
摘要:
随着新一轮工业技术的发展,在3C行业传统的工业自动化已经不能满足其生产要求,机器人自动化技术的无人工厂已成为发展趋势,它具有节省人力,提高生产效率,降低生生产成本,便于高效管理等优势。通过对3C行业工艺的调研,该研究基于自动化,智能化,无人化的方向,结合3C行业产品更新迭代快等特点,设计了一条微型自动化无人生产线。该生产线在传统自动化基础上,使用协作机器人,信息化控制系统,数字孪生系统等技术,打造出全新的无人化智能工厂,目前微型无人工厂已经稳定运行,真正实现了无人自动化,其技术水平处于行业领先,对于打造车间里的无人化智能工厂具有指导意义。
Abstract:
With the development of a new round of industrial technology, the traditional industrial automation in the 3C industry has been unable to meet its production requirements, and the unmanned factory of robot automation technology has become a development trend, which has the advantages of saving manpower, improving production efficiency, reducing production costs, and facilitating efficient management. Through the investigation of 3C industry process, this study based on the direction of automation, intelligence and unmanned, combined with the characteristics of 3C industry product update and iteration, designed a miniature automated unmanned production line. On the basis of traditional automation, the production line uses collaborative robots, information control system, digital twin system and other technologies to create a new unmanned intelligent factory. At present, the micro-unmanned factory has been running stably, truly realizing unmanned automation, and its technical level is leading in the industry, which has guiding significance for creating unmanned intelligent foreman in the workshop.

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备注/Memo

备注/Memo:
收稿日期:2023-10-25第一作者:刘畅(1992—),男,辽宁省昌图人,硕士研究生,中级机械工程师,研究方向为机器人技术与应用。E-mail:gcliuchang@sina.com通信作者:葛达明(1990—),男,硕士研究生,软件工程师,研究方向为SCADA软件开发。E-mail:gedm@aliyun.com
更新日期/Last Update: 1900-01-01