数字孪生服务IoT TwinMaker
发布时间：2023-03-14
入选理由：亚马逊云科技开发的Amazon IoT TwinMaker可为真实系统创建数字孪生，降低 IoT、人工智能/机器学习和空间计算的成本与复杂性，使用者可更迅速、更便捷地优化工业运营、增加产量并提高设备性能。可汇集多个来源的数据，实现轻松访问和使用并保留数据；整合数据创建知识图谱对现实世界环境进行3D视觉建模，创建真实系统的数字孪生和沉浸式视图，真实环境产生变化后更新；灵活开源的数字孪生工具，使用API快速地创建终端用户应用程序，提供低代码接口、推出应用程序插件，提供的SDK帮助用户将数字孪生扩展到应用程序或解决方案中。
Reason for Selection: Amazon IoT TwinMaker, owned by Amazon Web Services, is able to create digital twin, a living digital representation of a physical system that is dynamically updated to mimic the structure, state, and behavior of the physical system to drive business outcomes, including driving down cost and complexity in IoT, artificial intelligence/machine learning (AI/ML), and spatial computing, optimizing industrial operation,improving operation productivity and efficiency. Amazon IoT TwinMaker combines data from disparate sources to drive insights, usage and storage. Use data from disparate sources, Amazon IoT TwinMaker creates effective visualizations with knowledge map, 3D visual models, quickly and easily build a digital twin and immersive view of all assets and operational data, sync-up with physical changes. The flexible open-source digital twin tools help to create end-user apps quickly through APIs, offer low-level code interfaces and app plugins, custom app development or integration with Amazon Web Services partner solutions through developer SDR
Reason for Selection: Amazon IoT TwinMaker, owned by Amazon Web Services, is able to create digital twin, a living digital representation of a physical system that is dynamically updated to mimic the structure, state, and behavior of the physical system to drive business outcomes, including driving down cost and complexity in IoT, artificial intelligence/machine learning (AI/ML), and spatial computing, optimizing industrial operation,improving operation productivity and efficiency. Amazon IoT TwinMaker combines data from disparate sources to drive insights, usage and storage. Use data from disparate sources, Amazon IoT TwinMaker creates effective visualizations with knowledge map, 3D visual models, quickly and easily build a digital twin and immersive view of all assets and operational data, sync-up with physical changes. The flexible open-source digital twin tools help to create end-user apps quickly through APIs, offer low-level code interfaces and app plugins, custom app development or integration with Amazon Web Services partner solutions through developer SDR
关键词：数字孪生，物联网，智能制造，数字转型, 运营优化
Digital Twin, IoT, Smart Manufacturing, Digital Transformation, Operation Optimization
Digital Twin, IoT, Smart Manufacturing, Digital Transformation, Operation Optimization