Part III – AutomationML Research

Overview of Part III

Part III is dedicated to future AutomationML applications and presents the results of selected research projects around AutomationML.

  • Chapter 27 reports about how to efficiently develop mechatronic systems and how to efficiently solve the data exchange and consistency problem during the development workflow of production systems, taking various industrial tools and models into account.
  • Chapter 28 reports about the application of the PPR concept and presents a pragmatic approach to managing dependencies and assessing the ramifications of changes using xQueries.
  • Chapter 29 is dedicated to the Digital Twin and how to apply AML to integrate data and software into the Digital Twin over the lifecycle of a manufacturing cell.
  • Chapter 30 is dedicated to the domain of climate protection and increasing energy efficiencythrough the use of an energy management system. A concept for the efficient engineering of technical energy management systems is presented, in which AutomationML is used at various points as a key technology.
  • Chapter 31 investigates the usage of skills as a new abstraction layer for engineering and operating the future production plants. Skill-based engineering is a very new method that describes the individual components, constituting an automation system as objects with their respective services, named skills. It is a new level of engineering.
  • Chapter 32 proposes a method for Engineering Data Logisticsbased on AML providing a discipline-crossing language concept to support the data exchange between a set of engineering tools within an engineering network, exploiting existing AML specifications for bilateral lossless data exchange.
  • Chapter 33 describes the application of AML for energy simulations in the phase of virtual commissioning. AML helps to integrate different types of data into one organizational document and to interlink them. This linkage can be auto­matically created or supported by software tools, helping to reduce the manual effort. The concepts are validated by concrete commercial engineering tools.