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Unified Quality Inspection Standards for Brand Owners and Multiple Factories
技术
- 分析与建模 - 机器学习
适用行业
- 汽车
- 电子产品
适用功能
- 离散制造
- 物流运输
- 质量保证
服务
- 软件设计与工程服务
挑战
在3C行业和汽车行业，上游零部件加工厂商和主机厂测量标准的一致性很重要。如何在OEM厂商收到零件后，快速高效地按标准对零件质量进行抽检，将检测结果实时数字化，并与其他业务系统共享并实现可追溯，是业界共同的痛点。
解决方案
基于OEM自建的AI质检平台和移动标检AI-Box，通过5G低时延大带宽连接，很好的解决当前中小型零件的质量控制问题.
例如，针对汽车齿轮轮毂关键尺寸测量检测设备，主机厂搭建了AI质检平台，与零部件厂商共同定义质量标准，采用深度学习与传统算法相结合，结合AI-Box视觉借助5G终端测试设备，AI-Box将测试结果通过5G网络回传给AI平台及相关业务系统。通过共享测试数据，实现高效、高精度，并不断完善现有的AI质量测试模型，确保OEM与上游零部件厂商共享测试标准的一致性。 AI-Box设备支持光源、摄像头、镜头的自定义配置，无缝对接工业视觉AI训练平台进行数据采集。
运营影响
相关案例.
Case Study
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
