下载PDF
5G+AI: Production Process Bottleneck Analysis
技术
- 分析与建模 - 计算机视觉软件
适用行业
- 汽车
- 电子产品
适用功能
- 离散制造
用例
- 计算机视觉
服务
- 硬件设计与工程服务
挑战
在工厂生产线涉及人员的产品组装作业中，一般动作通常包括固定的操作程序，如：伸手、抓握、移动物体、组装。操作者长时间工作或受到干扰后，会省略装配动作，可能造成误操作。还需要通过动作分析找出动作中存在的问题，从而改进动作的顺序和方法。
解决方案
基于IPC工业相机，通过视频行为识别检测方式，自动识别人工装配过程中的程序是否正确，对错误操作进行实时报警提示，杜绝不合规操作，发现并优化装配行动。其中，基于视频的行为识别是指从视频序列中提取描述动作行为模式的显着视觉特征，然后通过机器学习、模式识别等算法对其进行分类和理解，实现对视频目标行为模式的识别。
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).
