M.Sc. Niklas Dreyer
Research Assistant
Institute: PAES | Institute of Process Automation and Embedded Systems
Team: Chair of Computer Engineering and Real-Time Systems | Prof. Dr. rer. nat. Jörn Hoffmann
Chair of Process Informatics | Prof. Dr.-Ing. Andreas Pretschner
Telephone +49 (0)341 3076 1244
Send an email | niklas(dot)dreyer(at)htwk-leipzig.de
HTWK Leipzig | Faculty of Engineering
Wiener-Bau | Room WI214.1
Wächterstraße 13, 04107 Leipzig
Education
- Communication Networks and Security
- Supervision of project work, Bachelor’s and Master’s theses
Research
- Process Informatics
- Electric mobility and charging infrastructure
Charging infrastructure
InStraNet | Innovation in the street lighting network
Interoperable modular and network connection unit for energy-efficient, smart cities: Street lights are the ideal location for electric vehicle charging infrastructure in cities and local authorities. This potential can be harnessed and expanded through the smart control and management of lighting. By using the street lamp as a ‘communication point’, cost-effective internet access can be provided via the ‘LESS-Cloud’. Connected devices within the lighting control system can be regarded as ‘IoT devices’ and managed by different operators.
Project status: in planning
Funding: BMWi (Funding Code: 16KN078928)
Project duration: 2021–2023
CODICES
Condition Diagnosis of Earthing Systems
Integrated condition monitoring of distributed earthing systems: The aim is to develop an active electrical measurement method that enables the progression of corrosion – and thus the condition of the earth electrode – to be assessed. Building on this measurement method, a measurement system is to be developed that handles data pre-processing and transmission. To enable the generic use of this new approach, a specialised IoT device (Industry 4.0 component) is being developed and tested as a prototype.
Funding: BMBF (Funding Code: 13FH131PX8)
Project duration: 2020–2022
Project partner: Prof. Faouzi Derbel (EET)
iFacts
Intelligent, functional and decentralised plant monitoring for efficient process automation
‘Intelligent Facts’ (iFacts) refer to integrated process information that intelligently supplements and extends sensor data. They have low power consumption and are particularly relevant at the lower level of the process control hierarchy; they can be used, amongst other things, for the monitoring and diagnosis of plant processes.
Funding: BMBF (Grant No.: 13FH025PX2)
Project duration: 2018–2020
Project leader: Prof. Faouzi Derbel (EET)
