Master Thesis: Wireless Network Simulation for Industrial Automation
vor 2 Wochen
Wireless networks are becoming increasingly important in industrial contexts due to their ability to enable seamless communication between robots, sensors, and control systems. This enhances flexibility and efficiency in operations, allowing for greater robot mobility and optimized workflows.
However, wireless networks suffer from increased latency and jitter, which can compromise the synchronization between robots and control systems. This can lead to inefficiencies and potential operational disruptions.
This thesis aims to create a system that can generate shopfloor setups to simulate wireless network propagation in industrial contexts. The system will also integrate with a robotics simulation to visualize the changing signal quality as robots navigate the shopfloor.
The results will be compared to real-world data gathered at the Fraunhofer IPT shopfloor.
Responsibilities- Conduct a literature review to understand the current state of network simulations in industrial contexts
- Gather information on modeling a common set of industrial machines for signal propagation
- Implement an algorithm for domain randomization, to randomize the placement of machines and obstructions on the shopfloor, to allow for an infinite number of environments
- Design and execute a set of experiments within this simulation to validate the results
- Studying mechanical engineering, electrical engineering, computer science, automation engineering, CES or a comparable subject
- First experience with networking technologies is advantageous
- A high degree of independence and motivation
- Good language skills in German and/or English
- Ideal conditions for practical experience alongside your studies
- Professional supervision and collaboration in a dedicated team
- A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure
- Flexible working to combine study and job in the best possible way
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
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Aachen, Nordrhein-Westfalen, Deutschland Fraunhofer-Gesellschaft VollzeitJob DescriptionWireless networks are becoming increasingly important in industrial contexts due to their ability to enable seamless communication between robots, sensors, and control systems. This enhances flexibility and efficiency in operations, allowing for greater robot mobility and optimized workflows.However, wireless networks suffer from increased...
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