大数据和预测性维护
技术
- 分析与建模 - 大数据分析
- 自动化与控制 - 可编程逻辑控制器 (PLC)
- 网络安全和隐私 - 端点安全
- 网络安全和隐私 - 身份认证管理
- 网络安全和隐私 - 入侵检测
- 网络安全和隐私 - 网络安全
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云存储服务
- 网络与连接 - 网关
适用功能
- 维护
用例
- 预测性维护
客户
罗斯集团
关于客户
Roth Group 成立于 1984 年，为各行各业的客户开发个性化的自动化解决方案。该集团旗下的 Roth Steuerungstechnik GmbH、Roth & Schoder GmbH 和 Roth Sondermaschinen GmbH 公司涵盖整个汽车行业
挑战
预测性维护是指帮助确定在役设备状况以预测和/或优化何时应该执行维护的技术。预测性维护是工业 4.0 革命最重要的优势之一。
解决方案
通过将来自多个不同位置的机器数据整合到一个中心位置，可以优化机器和生产流程。得益于 Roth Group 的远程维护解决方案，包括 Endian 的组件和 Amazon Web Services 的云解决方案，任何行业的客户今天都可以从数字化的优势中受益。
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