客户案例/制造业

2020 年
西门子徽标

西门子智能基础设施在 AWS 上构建云原生应用程序

西门子智能基础设施的 Trends and Industry Affairs 部门副总裁 Peter Löffler 描述了 AWS 在支持西门子开发云原生平台和应用程序方面所发挥的作用。

该公司提供物理产品和系统、基于云的数字产品以及增值服务。西门子智能基础设施使用 Amazon Web Services(AWS)开发 Building Twin from Siemens,该平台可提取并显示构建生成的数据,不受源传感器和系统影响。AWS Professional Services 帮助该公司创建构建 Building Twin 平台,该平台使用 Amazon Neptune 作为图形数据库引擎,并利用 Amazon Simple Storage Service(Amazon S3)进行数据存储。在本视频中,西门子智能基础设施的 Trends and Industry Affairs 部门副总裁 Peter Löffler 描述了 AWS 在支持西门子开发云原生平台和应用程序方面所发挥的作用。

要了解更多信息,请访问 aws.amazon.com/iot

使用的 AWS 服务

Amazon Simple Storage Service (Amazon S3)

Amazon S3 是一项对象存储服务,提供行业领先的可扩展性、数据可用性、安全性和性能。

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Amazon Neptune

Amazon Neptune 是一种快速、可靠且完全托管式图形数据库服务,可帮助您轻松构建和运行应用程序。

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AWS Professional Services

AWS Professional Services 组织是由专家组成的全球团队,可以帮助您在使用 AWS 云时实现预期业务成果。 

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  • Germany

    Siemens’ MindSphere on AWS Accelerates Customers’ Time to Value from IIoT

    Siemens built MindSphere, an IIoT operating system that can easily connect to as many as 80 percent of worldwide industrial automation devices to accelerate customer time to value from IIoT, on an AWS-native architecture. The global company provides systems for power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization solutions for process and manufacturing industries. MindSphere uses many AWS services, including AWS Lambda for orchestration and Amazon Kinesis to decouple data and devices.
    2019
  • Germany

    Siemens Mindsphere Case Study

    Siemens has deployed an IoT environment at a plant in Mexico in less than eight weeks, which will help it double efficiency. The company is Europe's largest industrial manufacturer with a global workforce of more than 377,000 and annual revenue exceeding €80 billion.
    2018
  • Germany

    Safer Railways Through Better Data Analytics

    Siemens is the largest industrial manufacturer in Europe, producing technology and software for the transport, medical, and energy sectors, among many others. The business has an annual revenue of €87 billion and employs around 385,000 people worldwide. In this video, Yvonne Quacken, head of digital services research and development at Siemens, explains why the company uses Amazon Web Services (AWS) to deliver its Railigent application to rail operators. The application collects data from live trains and helps operators make data-driven decisions to ensure the safety and efficiency of their rail networks. To enable this, Siemens developers needed to access and manage data efficiently across multiple business silos. Because data was not stored consistently across the organization, preparing datasets could take months, and costs were unacceptably high. Siemens built an environment for Railigent using AWS services such as Amazon Athena, AWS IoT, and Amazon Simple Storage Service (Amazon S3). This gives data scientists a self-service platform to manage data ingestion, integration, and preparation. The result is shorter development times and lower complexity, which means faster and more efficient business insights for Siemens.
    2019
  • Germany

    Siemens Finds New Value in Employee Surveys Using AWS Machine Learning Services

    Siemens surveys employees quarterly using AWS machine learning technologies to translate and analyze results in less than two weeks. Siemens provides solutions for power generation and transmission, medical imaging, laboratory diagnostics, and industrial infrastructure and drive systems.
    2019
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