对于轴承生产的工业过程的数字化
Jose-Manuel Rodriguez-Fortun1, Jorge Alvarez2, Luis Monzon1
1Technological Institute of Aragón, Calle Maria de Luna, 7-8, 50018 Zaragoza, Spain.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
这项研究使用先进的传感和人工智能 (AI) 来自动化轴承生产线. 该系统检测缺陷并监测工具的健康状况,提高质量并降低成本.
科学领域:
- 工业自动化 工业自动化
- 制造业 工程 制造工程
- 人工智能在制造业中的应用
背景情况:
- 传感,执行和人工智能算法的进步使工业生产系统的显著改进成为可能.
- 在像轴承生产这样的高精度制造工艺中,需要加强质量控制和缺陷检测至关重要.
研究的目的:
- 描述一个高质量的轴承生产线的自动化.
- 实现人工智能和先进传感,用于实时缺陷检测和过程监控.
- 通过早期发现和纠正问题来降低与质量相关的成本.
主要方法:
- 在机器层面集成新的传感元件以获取数据.
- 信息融合技术用于检测研磨缺陷 (波纹,烧伤) 和监测工具状况.
- 为线路监督,监控和维度补偿开发人工智能模型.
- 设计一个强大的硬件架构,用于数据采集,通信和人机接口.
主要成果:
- 成功实施了一套用于生产高质量的轴承的自动化系统.
- 在研磨过程中有效检测质量缺陷,如波纹和烧伤.
- 工具状态的实时监控和组件尺寸偏差的补偿.
- 通过积极识别和解决潜在错误,降低质量成本.
结论:
- 开发的人工智能驱动的自动化系统显著提高了轴承生产的质量控制.
- 实时反和预测功能允许提前检测和纠正缺陷,最大限度地减少废弃物和重新加工.
- 先进的传感,数据融合和人工智能监督的综合方法优化了制造过程并降低了运营成本.
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