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IoT-Driven Predictive Maintenance: Siemens' Real-Time Data Solution
技术
- 基础设施即服务 (IaaS) - 混合云
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 铁路与地铁
- 运输
适用功能
- 物流运输
- 维护
用例
- 预测性维护
- 车辆到基础设施 (V2I)
服务
- 云规划/设计/实施服务
- 培训
挑战
西门子是铁路行业工程解决方案的领导者，为干线、地铁和轻轨提供信号、控制和通信方面的广泛系统和服务。
这种物联网驱动的方法被称为“火车互联网”，可确保列车运营商的正常运行时间更长，乘客延误更少，维护成本效益更高。对于西门子而言，挑战不在于收集，而在于为每辆列车的 300 多个传感器存储、管理和分析海量数据。在国际范围内开展业务时，该公司必须确保通过尽可能最具成本效益的方式根据当地法律存储数据。
客户
西门子公司
关于客户
Siemens AG （柏林和慕尼黑）是一家专注于工业、基础设施、交通和医疗保健的技术公司。从更节约资源的工厂、弹性供应链、更智能的建筑和电网，到更清洁、更舒适的交通以及先进的医疗保健，公司有目的地创造技术，为客户增加真正的价值。
解决方案
为了帮助解决这些挑战，Teradata 与 Equinix 合作，为其基于云的主动灾难恢复解决方案提供互连优先方法。 Teradata 是业务分析解决方案的提供商；数据和分析解决方案；以及混合云产品和服务。
该公司在整合各种不同的数据孤岛方面取得了成功，并使客户能够提取有价值的洞察力。
通过在 Platform Equinix® 上进行部署，西门子通过集成数字和云技术，重新构建了其 IT 服务管理基础架构以实现数字边缘，同时优化自动化、提高可靠性和提升性能。 Equinix 使 Teradata 能够通过 Equinix Cross Connects 和 Equinix Fabric™ 直接、安全地与领先的网络和云提供商互连，从而以更低的成本获得更高的性能。
运营影响
数量效益
相关案例.
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