工业 4.0 的预测性维护
技术
- 分析与建模 - 预测分析
适用功能
- 维护
用例
- 预测性维护
服务
- 系统集成
挑战
工业机器人系统的机械元件振动水平不断提高，这通常表明需要维修。工厂运营人员需要找到一种方法来提高他们对振动的认识，并使用 AI/ML 分析来解释数据并及时解决问题。这是许多工业 4.0 倡导者所渴望的对预测性维护的相当标准的解释。
过去，服务计划是使用纸质日志文件来安排的，并且之间的间隔通常由主管根据他们的经验和对操作的感觉任意决定。随着现代制造业中的机器人系统变得越来越复杂，工厂经理需要实时了解他们的维护需求，并掌握日常和关键服务计划，以避免服务中断。
解决方案
这种超感知状态和相关的数据收集对于智能工厂的发展至关重要，最好在边缘进行分析。
借助 Microchip 的整体系统解决方案 (TSS) 方法，Microchip 为 Linux 应用程序提供了一个完全集成的、最先进的技术解决方案，使客户能够以智能、连接和安全的方式有效地设计下一代解决方案。物联网技术的这种应用非常适合那些在控制机器人并通过人机界面 (HMI) 报告数据的同时管理传感器网络的人。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
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
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
