智能制造在热处理企业的实践应用

doi:10.13251/j.issn.0254-6051.2025.07.050

金属热处理 ›› 2025, Vol. 50 ›› Issue (7): 339-343.DOI: 10.13251/j.issn.0254-6051.2025.07.050

• 设备 • 上一篇

智能制造在热处理企业的实践应用

王桂茂¹, 董小虹¹, 姚锡凡^2,3, 卢泽坚¹, 杨文茵⁴

1.广东世创金属科技股份有限公司, 广东佛山 528313;
2.福建福耀科技大学智造与未来技术学院, 福建福州 350109;
3.华南理工大学机械与汽车工程学院, 广东广州 510641;
4.佛山大学计算机与人工智能学院, 广东佛山 528000

收稿日期:2025-04-17 修回日期:2025-06-09 出版日期:2025-07-25 发布日期:2025-07-28
通讯作者: 卢泽坚,工程师,硕士,E-mail:kinlu@strongmetal.com.cn
作者简介:王桂茂(1966—),男,高级工程师,主要研究方向为热处理工艺以及热处理设备研制与开发,E-mail:wgm@strongmetal.com.cn。
基金资助:
广东省基础与应用基础研究基金(2024A1515011048,2025A1515010139);企业产学研合作项目(20201257)

Practices of smart manufacturing in heat treatment enterprises

Wang Guimao¹, Dong Xiaohong¹, Yao Xifan^2,3, Lu Zejian¹, Yang Wenyin⁴

1. Guangdong Strong Metal Technology Co., Ltd., Foshan Guangdong 528313, China;
2. School of Intelligent Manufacturing and Future Technologies, Fuyao University of Science and Technology, Fuzhou Fujian 350109, China;
3. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou Guangdong 510641, China;
4. School of Computer Science and Artificial Intelligence, Foshan University, Foshan Guangdong 528000, China

Received:2025-04-17 Revised:2025-06-09 Online:2025-07-25 Published:2025-07-28

摘要/Abstract

摘要： 热处理是制造业中的关键环节,但传统生产方式存在自动化程度低、能耗高和环境污染等问题。智能制造技术的发展为热处理行业的转型升级提供了机遇。分析了热处理企业的智能化需求,并结合实际案例,介绍了多任务柔性热处理生产线、自动化立体仓库货位分配优化、基于机器视觉的工件自动抓取技术和自主移动AGV等智能化技术的应用案例。

关键词: 柔性作业调度, 热处理生产线, 智能化运维, 智能机器人, 机器视觉

Abstract: Heat treatment is a key link in the manufacturing industry, but traditional production methods face issues such as low levels of automation, high energy consumption, and environmental pollution. The development of smart manufacturing technology provides opportunities for the transformation and upgrading of the heat treatment industry. Based on analysis of the intelligent needs of heat treatment enterprises and combining practical cases, several application achievements are introduced and discussed, such as multi-task flexible heat treatment production lines, automated warehouse space allocation optimization, machine vision-based workpiece automatic grasping technology, and autonomous mobile AGVs.

Key words: flexible job scheduling, heat treatment production line, intelligent operation and maintenance, intelligent robots, machine vision

中图分类号:

TG158
TP315

王桂茂, 董小虹, 姚锡凡, 卢泽坚, 杨文茵. 智能制造在热处理企业的实践应用[J]. 金属热处理, 2025, 50(7): 339-343.

Wang Guimao, Dong Xiaohong, Yao Xifan, Lu Zejian, Yang Wenyin. Practices of smart manufacturing in heat treatment enterprises[J]. Heat Treatment of Metals, 2025, 50(7): 339-343.

参考文献

[1] 姚锡凡, 景轩, 张剑铭, 等. 走向新工业革命的智能制造[J]. 计算机集成制造系统, 2020, 26(9): 2299-2320.
Yao Xifan, Jing Xuan, Zhang Jianming, et al. Towards smart manufacturing for new industrial revolution[J]. Computer Integrated Manufacturing Systems, 2020, 26(9): 2299-2320.
[2] 中国机械工程学会热处理分会. 中国热处理2035发展纲要[J]. 金属热处理, 2025, 50(1): 1-5.
[3] 楚西征, 邓小虎, 郭嘉毅, 等. 热处理车间智能制造系统开发及应用[J]. 金属热处理, 2024, 49(8): 254-260.
Chu Xizheng, Deng Xiaohu, Guo Jiayi, et al. Development and application of intelligent manufacturing system for heat treatment workshop[J]. Heat Treatment of Metals, 2024, 49(8): 254-260.
[4] 胡晓阳. 集成多AGV的柔性热处理车间调度优化[D]. 广州: 华南理工大学, 2022.
Hu Xiaoyang. Scheduling optimization of flexible heat treatment workshop integrating multiple AGVs[D]. Guangzhou: South China University of Technology, 2022.
[5] 黄鹏. 金属制品立体仓库货位分配和作业顺序优化研究[D]. 广州: 华南理工大学, 2022.
Huang Peng. Research on storage location assignment and storage/retrieval sequencing optimization for automated metalwork warehouses[D]. Guangzhou: South China University of Technology, 2022.
[6] 黄鹏, 姚锡凡, 胡晓阳, 等. 面向大规模立体仓库货位分配问题的两阶段混合优化算法[J]. 计算机集成制造系统, 2022, 28(8): 2481-2495.
Huang Peng, Yao Xifan, Hu Xiaoyang, et al. Two-stage hybrid optimization algorithm for large-scale automated warehouse storage location assignment problem[J]. Computer Integrated Manufacturing Systems, 2022, 28(8): 2481-2495.
[7] 张峻铭. 基于YOLOv5与双目线激光的轴承圈识别定位与抓取[D]. 广州: 华南理工大学, 2022.
Zhang Junming. Recognition, positioning and grasping of bearing rings based on YOLOv5, binocular vision and line laser[D]. Guangzhou: South China University of Technology, 2022.
[8] Zhang Junming, Yao Xifan, Chen Wocheng, et al. A two-stage spatial pose detection method for bearing rings based on YOLOv5 and binocular vision[C]//2022 3rd Asia Service Sciences and Software Engineering Conference. 2022: 44-51.
[9] 黄岩松. 基于深度Q网络的AGV路径规划算法研究[D]. 广州: 华南理工大学, 2023.
Huang Yansong. Research on AGV path planning algorithm based on Deep Q network[D]. Guangzhou: South China University of Technology, 2023.

智能制造在热处理企业的实践应用

Practices of smart manufacturing in heat treatment enterprises

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 1

编辑推荐

Metrics

本文评价