frequently asked questions (FAQ)

How is the architecture of AutomationML designed?

AutomationML combines well accepted standards for certain aspects of automation engineering under the top-level format CAEX. A short overview is given in AML in A Nutshell.

What is AutomationML’s technical approach?

  • We define a free and open, XML-based data format.
  • We do not want to reinvent the wheel, but use and enrich already existing, free and open, well established standards.
  • For the usage of standards, we apply three different general methodologies: direct application, referencing, and transformation.
  • One core effort is the development of a single top-level format that incorporates well accepted standards for important engineering aspects.

Does AutomationML enable automatic data synchronization in a heterogeneous tool landscape?

AutomationML is a good basis for automatic data synchronization, as it provides all necessary engineering information. But remember, AutomationML is a data format; data synchronization is a tool functionality.

Does AutomationML require changes in our engineering workflow?

No, AutomationML does not require changes in your workflow. AutomationML supports today’s workflows. Furthermore it simplifies regular synchronizations of parallel engineering steps.

How will AutomationML influence engineering in general?

AutomationML accepts a heterogeneous tool landscape per definition. There will not be the one solution for single problems and there will not be one tool to solve all problems. Thus AutomationML:
  • supports usage of best tools in class,
  • closes gaps in the engineering process,
  • reduces complexity by providing a common intermediate format,
  • empowers innovative companies to bring in their solutions without being forced to connect to numerous major tools,
  • helps tool vendors to focus on their core competences instead of spending high efforts on developing and maintaining interfaces.

Is AutomationML restricted to the automotive industry?

No. AutomationML addresses data exchange for any production system engineering information and is thus not restricted to specific industries.

What are the goals of AutomationML?

Goals of AutomationML are:
  • reduction of engineering costs and acceleration of engineering,
  • protect investment by enabling openness of engineering data,
  • lower market entry barriers for innovative niche product vendors and service providers,
  • seamless data transport, and
  • data consistency along the engineering process.

What is AutomationML about?

With AutomationML we jointly define and validate the Automation Markup Language (AutomationML) as an intermediate XML based data format for all phases of production system engineering along the business cases of our members.

What is the core motivation for the AutomationML members to spend that effort?

We reduce engineering efforts and improve the engineering quality in a heterogeneous tool landscape.

What is the main difference between AutomationML and all other free formats?

Main innovation is the incorporation of well accepted standards for important engineering aspects under a single top-level format, e.g. topology, geometry, kinematics, and logics. As such it is the only freely available, open XML-based standard which supports stepwise standardization of modelled content.It is not dominated by a single vendor but driven by leading automation players.


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