The companies in Germany's electrical industry actively promote competition. The ability to use data across different generation and application contexts in parallel can be achieved by supporting data portability through interoperable data formats and information models based on freely accessible standards. In this way, data exchange or data pooling between different providers is possible, thus promoting competition. 

Case studies from practice

Case study 1: ABB

ABB supports the development of the Asset Administration Shell concept and incorporates it into its own device and platform developments. The Asset Administration Shell allows data and services from IIoT devices to be connected via a unified interface, regardless of the device manufacturer. In addi- tion, device properties can be exchanged across manufacturers in a standardized way using eCl@ss.

Further information

https://www.youtube.com/watch?v=AXQ0yIonNxk&t=1s

Case study 2: Infineon

In 2018, Infineon launched a so-called Trusted Platform Module (TPM) specifically for automotive applications. The external communication of a vehicle is protected by the TPM - a kind of vault - which generates, stores, distributes and manages cryptographic keys, for example. The TPM complies with international standards (ISO/IEC 11889) and thus contributes significantly to the portability and interoperability of data.

Further information

https://www.infineon.com/cms/en/product/security-smart-card-solutions/optiga-embedded-security-solutions/optiga-tpm/sli-9670/

Case study 3: Siemens

Siemens MindSphere offers open, bi-directional communication at every interface and can be integ- rated with applications, machines, enterprise IT systems and other IT platforms. Customers also have the option of designing the data models according to their own wishes or removing data from the backend. With IDL (Integrated Data Lake) and EDI (Enterprise Data Interconnect), Siemens also offers a methodology for using data from other data lakes for MindSphere applications without changing their storage location.

Further information

https://www.plm.automation.siemens.com/media/global/en/Siemens_MindSphere_Whitepaper_tcm27-9395.pdf

5. Supporting the portability and interoperability of data used for competitive purposes

The companies in Germany's electrical industry actively promote competition. The ability to use data across different generation and application contexts in parallel can be achieved by supporting data portability through interoperable data formats and information models based on freely accessible standards. In this way, data exchange or data pooling between different providers is possible, thus promoting competition. 

Case studies from practice

Case study 1: ABB

ABB supports the development of the Asset Administration Shell concept and incorporates it into its own device and platform developments. The Asset Administration Shell allows data and services from IIoT devices to be connected via a unified interface, regardless of the device manufacturer. In addi- tion, device properties can be exchanged across manufacturers in a standardized way using eCl@ss.

Further information

https://www.youtube.com/watch?v=AXQ0yIonNxk&t=1s

Case study 2: Infineon

In 2018, Infineon launched a so-called Trusted Platform Module (TPM) specifically for automotive applications. The external communication of a vehicle is protected by the TPM - a kind of vault - which generates, stores, distributes and manages cryptographic keys, for example. The TPM complies with international standards (ISO/IEC 11889) and thus contributes significantly to the portability and interoperability of data.

Further information

https://www.infineon.com/cms/en/product/security-smart-card-solutions/optiga-embedded-security-solutions/optiga-tpm/sli-9670/

Case study 3: Siemens

Siemens MindSphere offers open, bi-directional communication at every interface and can be integ- rated with applications, machines, enterprise IT systems and other IT platforms. Customers also have the option of designing the data models according to their own wishes or removing data from the backend. With IDL (Integrated Data Lake) and EDI (Enterprise Data Interconnect), Siemens also offers a methodology for using data from other data lakes for MindSphere applications without changing their storage location.

Further information

https://www.plm.automation.siemens.com/media/global/en/Siemens_MindSphere_Whitepaper_tcm27-9395.pdf