OPUS (Optimized Predictive Performance Using Cyber Physical Systems) is a project that develops value contributions, in terms of technologies and processes that are based on excellent methods and novel cyber physical system modules to
a.) guarantee a transparent flow of information, that helps the end consumer to easil control energy-efficiency criteria, based on a community-based assessment.
b.) enhance product and service quality by using (Big) Data Analytics tools, based on the latest sensors, to promptly and reliably evaluate system and environmental data of cyber physical systems, that are accompanied by Preventive Performance actions to prevent larger damages.
c.) prevent possible system breakdowns. For this, highly reliable communication systems and remote access enable a decentralized and context-based evaluation of measurement data, gained from a plurality of distributed and live operating cyber physical systems (e.p. pumps, sensor systems, drive).
d.) optimize the research and development process, which at the same time guaranteed the technological leadership (made in Germany/NRW). Already in the drafting stage, results from installed and productively running systems can be incorporated. In this way, the producer can identify optimization potential and can replace or further develop single components, that can already be in the next batch before warranty claims arise. A perennial development process can than be reduced to a few months.
Project duration: 15.05.2017 - 30.04.2020
TU Dortmund tackles the issue of a comparative analysis and the suitability validation of various cross-linking technologies; taking into account application-specific characteristics of data-transmission and the mounting situation of pump systems. The goal is to develop a holistic network of system participants in an interoperabel end-to-end system approach, that guarantees a reliable communication connection focused on the specific demands of
industrial IoT applications.
For this purpose qualified options of communication systems are identified and validated for an application under real conditions. A prototypical realization of laboratory set-ups as reference environment enables the verification of performance features of identified communication systems under controlled conditions, and serves as a transfer foundation into a demonstrator.
A performance assessment is additionally made for the communication system, that is integrated into the overall system, with regard to the availability, on the basis of raytracing analysis.
In this context, suitable raytracing models are designed and evaluated for, on the one hand characteristic mounting situations (e.p. private cellars or hospitals) and on the other hand for large scale net scenarios (e.p. the city of Dortmund).
Parallel to this, the traffic capacity is assessed in the course of a net simulation, which is done for different loading scenarios, and at the same time connects to results of the
raytracing analysis - all that under the consideration of suitable traffic models. This final comparative performance assessment of - the simulation, the alignment with the results of the laboratory setting as well as the demonstrator - enables a targeted evaluation of the planned communication systems for an up-scaled and real application.
This project is funded by the European Fund for Regional Development under the funding
Dieses Vorhaben wird aus Mitteln des Europäischen Fonds für regionale Entwicklung (EFRE) unter dem Förderkennzeichen EFRE-0800885 gefördert.
Data-Driven Model-Predictive Communication for Resource-Efficient IoT Networks
C. Arendt, S. Böcker, C. Wietfeld
In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), April 2020
Reliable Software-Defined RAN Network Slicing for Mission-Critical 5G Communication Networks
C. Bektas, S. Böcker, F. Kurtz, C. Wietfeld
In 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, Hawaii, USA, December 2019.
Coverage and Link Quality Improvement of Cellular IoT Networks with Multi-Operator and Multi-Link Strategies
P. Jörke, J. Güldenring, S. Böcker, C. Wietfeld
In 2019 IEEE 89th Vehicular Technology Conference (VTC-Spring), Kuala Lumpur, Malaysia, April 2019.
LPWAN in the Context of 5G: Capability of LoRaWAN to Contribute to mMTC
S. Böcker, C. Arendt, P. Jörke, C. Wietfeld
In 2019 IEEE World Forum on Internet of Things (WF-IoT 2019), April 2019.
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Location & approach
The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A 45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dortmund.
To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.
TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 20 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.
You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.
The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.
The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.
The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.