工业机器人控制系统与预测维护模块使用IIoT技术
Andrzej Wojtulewicz1, Patryk Chaber1
1Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland.
Sensors (Basel, Switzerland)
|February 26, 2025
概括
这项研究将工业机器人与CNC系统相结合,用于增强诊断. 它通过分析机器人组件消耗数据来实现早期故障预防,提高运营效率.
科学领域:
- 制造业 工程 制造工程
- 自动化和控制系统自动化和控制系统
背景情况:
- 工业机器人越来越多地与计算机数控 (CNC) 系统集成.
- 有效的诊断和早期故障预防对于优化机器人系统性能和尽量减少停机时间至关重要.
研究的目的:
- 开发和实施由CNC系统控制的工业机器人的诊断解决方案.
- 通过实时监控机器人组件消耗,实现早期故障检测和预防.
主要方法:
- 从数控系统直接控制工业机器人.
- 在CNC和机器人控制器之间进行数据交换,以收集过程数据.
- 在可编程逻辑控制器 (PLC) 中进行的计算,以导出消耗指标.
- 在人机界面 (HMI) 屏幕上的数据可视化.
- 实施MQTT协议用于工业物联网 (IIoT) 数据共享.
主要成果:
- 成功集成CNC和工业机器人用于诊断数据收集.
- 为单个机器人组件生成关键消耗指标.
- 在CNC HMI上的实时数据可视化.
- 通过MQTT协议启用了IIoT数据共享.
- 通过在真正的工业站部署来证明可行性.
结论:
- 开发的解决方案扩展了工业机器人诊断的CNC功能.
- 该系统通过监控组件健康状况来促进早期故障预防.
- 这种整合提高了自动化制造系统的整体可靠性和效率.
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