客戶案例/製造業

2020
Siemens 標誌

Siemens Smart Infrastructure 在 AWS 上建置雲端原生應用程式

Siemens Smart Infrastructure 的 Trends and Industry Affairs 部門副總裁 Peter Löffler 描述了 AWS 在支援 Siemens 開發雲端原生平台和應用程式方面所扮演的角色。

該公司提供實體產品和系統、雲端型數位產品,以及加值服務。Siemens Smart Infrastructure 使用了 Amazon Web Services (AWS) 來開發 Building Twin from Siemens,此平台可擷取並呈現建築物產生的資料,與來源感應器和系統無關。AWS Professional Services 協助公司使用 Amazon Neptune 作為圖形資料庫引擎,並使用 Amazon Simple Storage Service (Amazon S3) 進行資料儲存來建立其 Building Twin 平台。在本影片中,Siemens Smart Infrastructure 的 Trends and Industry Affairs 部門副總裁 Peter Löffler 描述了 AWS 在支援 Siemens 開發雲端原生平台和應用程式方面所扮演的角色。

若要進一步了解,請瀏覽 aws.amazon.com/iot

使用的 AWS 服務

Amazon Simple Storage Service (Amazon S3)

Amazon S3 是一種物件儲存服務,提供領先業界的可擴展性、資料可用性、安全性及效能。

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Amazon Neptune

Amazon Neptune 是快速、可靠的全受管圖形資料庫服務,可讓您輕鬆建置及執行應用程式。

進一步了解 »

AWS Professional Services

AWS 專業服務組織是一個由專家組成的全球團隊,可協助您使用 AWS 雲端實現所需的業務成果。 

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探索 Siemens 使用 AWS 的創新旅程

更多 Siemens 案例

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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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