金属热处理 ›› 2024, Vol. 49 ›› Issue (8): 254-260.DOI: 10.13251/j.issn.0254-6051.2024.08.043

• 计算机应用 • 上一篇    下一篇

热处理车间智能制造系统开发及应用

楚西征1, 邓小虎1, 郭嘉毅2, 王学锐2, 肖枫1, 许王立1   

  1. 1.天津职业技术师范大学 机械工程学院, 天津 300222;
    2.海思特(苏州)材料科技有限公司, 江苏 苏州 215100
  • 收稿日期:2024-03-09 修回日期:2024-06-14 出版日期:2024-08-25 发布日期:2024-09-27
  • 通讯作者: 邓小虎,副教授,博士,E-mail:dengxh@tute.edu.cn
  • 作者简介:楚西征(1997—),男,硕士研究生,主要研究方向为热处理智能制造,E-mail:chuxizheng971201@163.com。
  • 基金资助:
    江苏省产学研合作项目(BY2022834);天津市研究生科研创新项目(2022SKYZ161)

Development and application of intelligent manufacturing system forheat treatment workshop

Chu Xizheng1, Deng Xiaohu1, Guo Jiayi2, Wang Xuerui2, Xiao Feng1, Xu Wangli1   

  1. 1. School of Mechanical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China;
    2. HiSmart (Suzhou) Materials Technology Co., Ltd., Suzhou Jiangsu 215100, China
  • Received:2024-03-09 Revised:2024-06-14 Online:2024-08-25 Published:2024-09-27

摘要: 为提升热处理车间智能化水平,解决车间管理方式落后与“数据孤岛”等问题,根据热处理车间离散型的生产特点,设计并开发了热处理车间智能制造系统。首先,系统采用信息化技术管理车间生产全过程,实现了车间生产信息流通共享,执行过程透明可控以及生产历史追溯可查等功能;其次,系统通过建立数字化模型,绑定并存储实时数据,同时在设计中引进了安全环保的理念,达到了对车间的设备管理、安全生产以及异常预警的目标;最后,基于完整的车间数据,利用数据分析技术将车间各设备的能耗成本与工作效率进行全方位自动统计与分析,实现了车间各项指标精细化管理。本系统在车间成功应用后,改进了车间生产和设备的管理方式,提升了车间智能化水平,并为热处理车间的绿色制造和节能减排提供了支持。

关键词: 热处理车间, 智能制造系统, 车间生产全过程, 数字化模型, 数据分析技术

Abstract: In order to improve the intelligence level of the heat treatment workshop and address the issues of backward workshop management and "isolated data island", the intelligent manufacturing system for the heat treatment workshop was designed and developed by taking into account the discrete production characteristics of the workshop. The results show that, by adopting the information technology to manage the entire workshop production process, the intelligent manufacturing system realizes the functions such as sharing workshop production information, ensuring transparent and controllable execution processes, and enabling the traceability of production history. Secondly, the system achieves the goals of equipment management, safe production and abnormal warning for the workshop by establishing a digital model, binding and storing real-time data, and meanwhile introducing the concept of safety and environmental protection in the design. Finally, based on the comprehensive workshop data, the data analysis technology is used to automatically calculate and analyze the energy consumption costs and working efficiency of each piece of equipment in the workshop, enabling the refined management of each indicator in the workshop. After the successful implementation of this system in the workshop, it improves the management of workshop production and equipment, enhances the intelligent level of the workshop, and provides supports for green manufacturing, energy conservation and emission reduction in the heat treatment workshop.

Key words: heat treatment workshop, intelligent manufacturing system, entire workshop production process, digital model, data analysis technology

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