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Applying Artificial Intelligence to Paint Shop Robots
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
- 预测性维护
服务
- 系统集成
挑战
汽车行业的工厂拥有大量关于制造过程、原材料和产品的潜在数据。利用这些数据资产的关键是与控制级别的正确接口连接，以获取机器人、烤箱、阴极电泳系统或传送技术提供的信息。现有工厂的操作员经常受到限制，因为他们的大多数系统都没有连接和正确的数据采集接口。
解决方案
为现有机器人提供这种接口促使 Dürr 开发其 DXQequipment.analytics 软件，以实现与多种现有机器人的连接。杜尔提供的技术是一种适配器，由硬件和软件组件组成，可以连接到所有当前的现场总线技术并在几毫秒范围内提供数据。该适配器由 Dürr 与 Techno-Step 合作提供，Techno-Step 是过程数据分析和诊断系统专家，自 2020 年以来一直是 Dürr 集团的一部分。据 Dürr 称，这种硬件和软件组合使库存和第三- 将与杜尔的 DXQ 软件产品智能联网的方工厂设备。
DXQequipment.analytics 软件包括一个高级分析模块，该模块使用 AI 来提高喷漆车间的整体设备效率 (OEE)。
运营影响
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.
