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Real-Time Welding Optimization with Welding Robot
技术
- 分析与建模 - 数字孪生/模拟
- 分析与建模 - 预测分析
适用行业
- 设备与机械
- 金属
适用功能
- 离散制造
用例
- Condition Monitoring
- 数字孪生
- 预测性维护
- 质量预测分析
服务
- 数据科学服务
- 软件设计与工程服务
- 系统集成
挑战
使用机器人实现焊接过程自动化可提高生产率和环保性。然而，由于工厂的各种条件，机器人焊接的质量可能会下降。需要持续监控和调整才能保持高标准。
关于客户
汽车工业中的冲压钣金件制造。
解决方案
TEKNOPAR 整合了来自多个传感器的数据，包括麦克风和振动传感器、环境传感器、光纤激光传感器和 Magmaweld 设备，从而创建了一个全面的实时监控系统。高级回归模型分析了这些数据流以检测潜在的质量问题，从而可以立即调整机器人的参数。
收集的数据
Acceleration, Humidity, Microphone, Pressure, Temperature
运营影响
数量效益
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