针对新项目的创新及协作式同步项目管理
The industrial Internet of Things (IIoT) is the backbone of a digital enterprise, allowing a company’s assets – products, plants, systems, machines – to connect to a central location where you can collect, aggregate, store, and analyze data.
Whether you have sensors on products in the field or need to monitor production line machines, the IIoT provides the ability to have unprecedented visibility and control over your industrial assets. This transparency can lead to optimized operations, gains in productivity, reduced risk, and the development of new business models.
Implementing the industrial IoT relies heavily on connectivity and the ability to unify assets and enterprise systems that have few standards or universal connection methods. Learn how Siemens’ solutions take you on a journey from connectivity, to robust analytics, to AI-powered automation all packaged as a service to custom fit your specific needs.
The industrial Internet of Things (IIoT) is the backbone of a digital enterprise, allowing a company’s assets – products, plants, systems, machines – to connect to a central location where you can collect, aggregate, store, and analyze data.
Whether you have sensors on products in the field or need to monitor production line machines, the IIoT provides the ability to have unprecedented visibility and control over your industrial assets. This transparency can lead to optimized operations, gains in productivity, reduced risk, and the development of new business models.
Implementing the industrial IoT relies heavily on connectivity and the ability to unify assets and enterprise systems that have few standards or universal connection methods. Learn how Siemens’ solutions take you on a journey from connectivity, to robust analytics, to AI-powered automation all packaged as a service to custom fit your specific needs.
Perform advanced analytics from the edge to the cloud with near-real-time data. Start with out-of-the-box applications and then scale, with the ability to incorporate machine learning and AI.
Connect physical, web- and enterprise-based systems in one location. Support multiple protocols concurrently, perform flexible data modeling and leverage frictionless system integrations.
Easily integrate your industrial IoT solution with other PLM capabilities – Siemens or 3rd party – to create powerful business use case solutions.
第二要素:控制
工业物联网部署没有捷径。使用端到端物联网解决方案的项目在本质上都是战略性的,需要融合正确的工具和流程。 本电子书解决了企业在物联网实施各个方面的棘手问题,并就企业如何克服在物联网方面面临的共同挑战以获得真正、切实的利益提供了建议。下载了解更多信息。 物联网商业论证 构建物联网商业论证可能很困难...
要素 1:连通性
了解实施预构建工业物联网 (IIoT) 解决方案的益处。