下载PDF
Error Proofing Inspection after Product Assembly
技术
- 分析与建模 - 计算机视觉软件
- 分析与建模 - 机器学习
适用行业
- 汽车
适用功能
- 离散制造
- 质量保证
用例
- 计算机视觉
服务
- 系统集成
挑战
在汽车主机厂的总装车间，汽车生产的最后一道工序仍然需要依靠大量的人力来组装车身。对于车灯检测现场，由于混产检测，检测人员完全依靠经验对模型进行检测。此外，由于流水线上光线干扰严重，检测人员还需要避免外部光源对车灯检测的干扰，检测周期短，对车辆检测速度也有较高要求。检查员。
目前，传统人工质检面临质量、特殊场景响应、信息整合等问题：
1 质量：在人工质检中，需要有经验的质检人员根据20+种车型，准确了解哪些零件配备哪些车型。对人的体验要求高，新员工对模型不熟悉。错过检查会有问题。
2 在强光源长时间照射的情况下，需要做好相关的人体防护，防止眼睛长时间暴露在光源下。
3 信息整合：目前无法对模型和灯具的材质进行匹配，材质偏差无法追溯。
解决方案
5G+AI质检解决方案，融合AI深度视觉检测技术和5G通信技术，根据MES系统BOM数据自动识别不同机型。
数量效益
相关案例.
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).
Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.
