焊接机器人数据采集与管控系统
Data collection and management system for welding robots
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摘要: 随着数字化焊接机器人进入工厂，采用传统人工监督的方式逐渐不能满足对设备的监控管理需求。一些采用“多机器人厂商、中小生产规模”为生产模式的企业，需要一个低成本、高适配性的平台，统一管理现场各种焊接机器人。针对上述需求设计了机器人管控系统，系统可分为通信模块和设备管控模块。其中，通信模块采用C/S架构开发，通过Netty框架搭建NIO服务器接收实时数据，开发的基础通信框架能够适配多种通信协议，接入不同品牌的机器人；设备管控模块采用B/S架构开发，基于Spring MVC框架实现，通过统一的平台对各个品牌机器人进行管理、监控和维护，以及历史数据的展示等。经现场运行验证，该系统能实现不同品牌机器人的统一监管，并且能够长时间稳定运行。创新点：(1)数据通信模块通过基础通信框架的开发，能够适配多种通信协议，并且支持通信程序远程更新。(2)机器人管控系统平台能够快速接入各种机器人，实现不同品牌的机器人统一化的监控、维护和管理。Abstract: With the entry of various digital welding robots into the factory, the traditional manual supervision method cannot meet the requirements for robots monitoring and management.Some enterprises that adopt multiple robot brands and medium production scale as the welding production mode need a low-cost, highly adaptable platform to uniformly manage various welding robots.Therefore, an adaptable welding robots data collection and management system was developed.The system could be divided into data communication module and equipment management module.The communication module was developed with the C/S architecture, and the NIO server was built through the Netty framework to receive real-time data.The basic communication framework developed at the same time could adapt to a variety of communication protocols and connect robots of different brands.The management module was developed using the B/S architecture implemented by Spring MVC framework.Combined with the real-time data collected, a unified platform was developed to manage, monitor and maintain various brands of robots, as well as display historical data.It was proved that the system could realize unified supervision of different brands of robots, and could work stably in the actual production environment for a significant amount of time.Highlights:(1)Based on the developed basic communication framework, the data communication module can adapt to various communication protocols, and support the remote update of communication programs.(2)The robot management system could quickly connect various robots, and realize unified monitoring, maintenance and management of different robots.
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Keywords:
- industrial internet of things /
- welding robots /
- communication /
- message queue /
- network monitoring
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[1] 王学武, 杨尚咏, 郭敬.焊接机器人系统远程实时监控与维护[J].上海交通大学学报, 2016, 50(S1): 10-13. [2] 马国红, 陈善本, 黎文航.网络机器人的发展及其在焊接中的应用现状[J].焊接, 2004(4): 5-8. [3] 曹凤, 张英华, 朱成华.基于精益生产方式的焊接机器人生产线网络监控系统设计[J].电焊机, 2013, 43(10): 28-31. [4] Zhang Y M, Wang Q Y, Liu Y K.Adaptive Intelligent Welding Manufacturing[J].Welding Journal, 2021, 100(2): 63S-83S. [5] Syrek G J, Doan T M.Development of flash butt welding monitor for improvement of quality control in production of steel car wheels[J].Science and Technology of Welding and Joining, 2002, 7(4): 253-259. [6] 周灿丰, 王龙.遥操作焊接机器人焊接信息采集系统研究[J].焊接, 2018(7): 1-6. [7] 李荣, 徐富家, 李洪伟, 等.机器人激光制造工作站数字化控制系统设计[J].焊接, 2020(4): 42-46. [8] 李亚南, 田仁勇, 吴向阳, 等.转向架构架智能焊接群控系统构建[J].电焊机, 2021, 51(5): 1-6. [9] 李江, 时国玉, 刘金龙.数字化与网络化技术在高速列车焊接车间的实践应用[J].电焊机, 2018, 48(3): 43-47. [10] 刘金龙, 柳振国, 李江,等.智能焊接云管理系统开发及应用[J].电焊机, 2020, 50(2): 45-48. [11] 陈晨.基于状态监测的焊接自动化生产线寿命预测与维护优化[D].成都: 电子科技大学硕士学位论文, 2015. [12] 胡晓轩, 朱琦, 杨山林, 等.船舶车间焊接机器人智能预测性维护系统[J].船舶工程, 2021, 43(S1): 415-419. -
期刊类型引用(7)
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5. 王金芳. 机械模具数控加工制造技术分析. 造纸装备及材料. 2023(04): 70-72 . 百度学术
6. 王艺橙，余丰闯. PLC控制在车门焊接机器人中的应用. 湖南文理学院学报(自然科学版). 2023(03): 54-58 . 百度学术
7. 王敏. 基于单片机的焊接机器人设计和实现. 焊接技术. 2022(12): 75-78 . 百度学术
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