Automatic Generation of Information Models for Describing Quality in Simulations
- Subject:Automation Technology and Information Models
- Type:Bachelorthesis
- Date:ASAP
- Supervisor:
- Links:Tender
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This bachelor thesis focuses on the development of an intelligent system for the automatic creation, generation, editing, and storage of information models to describe the quality of simulations. The goal is to reduce the effort required for manual evaluations and to facilitate the adoption of modern automation. A key component is the "Provisioning of Simulation Models" submodel from the IDTA for the Asset Administration Shell (AAS), which enriches simulations with metadata and evaluates them based on defined criteria.
MOTIVATION:
In industry, simulation models or technical documents are often available without context, which hinders efficient collaboration. Information models help convey technical content in a clear and structured manner. This thesis aims to solve this problem by developing a system that automates the creation and evaluation of simulation models, thereby improving communication and efficiency within teams.
OBJECTIVES:
- Familiarization with the IDTA submodel and the Q-metric.
- Development of an information model for the Q-metric in AutomationML (AML) to represent the information in a vendor-neutral way.
- Development of a generator that automatically creates the information model for quality assessment of simulations.
- Development of a web application through which this model can be generated, downloaded, uploaded, edited, and read.
- Facilitation of interaction with the information model through the web application.
USEFUL PRIOR KNOWLEDGE:
- Interest in interdisciplinary topics related to automation, web development, and data models.
- Initial experience in web development (e.g., with HTML, JavaScript, or Python).
- as well as basic knowledge of information models and ideally in AutomationML (AML).
