人工智能如何改变制造业
技术
- 分析与建模 - 机器学习
适用行业
- 汽车
适用功能
- 离散制造
用例
- 工厂可见化与智能化
服务
- 软件设计与工程服务
客户
美利肯
关于客户
全球化学和纺织公司。
挑战
让缺陷逃出工厂会损害客户关系和品牌，并导致代价高昂的拒收或退货，而对内部缺陷的过度控制会导致高昂的劳动力、废品和返工成本。缺陷检测的有害问题本应通过机器视觉检测来解决，但在许多情况下，机器视觉系统无法胜任这项任务。
- 没有对阀门和电机的状态监测。
- 对故障设备的根本原因分析很困难或根本不存在。
- 工程师每周花费数小时制作电子表格和分析。
解决方案
在制造工厂中部署用于机器视觉的人工智能。提取物料清单、工程图纸和零件规格，以了解复杂的装配应该是什么样子——然后观察生产线上的文章，以确保每个工位的装配都是正确的。
运营影响
数量效益
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