The environmental conditions in production halls of industrial companies determine not only the process and product quality, but also the work safety and working conditions of the employees. The continuous assurance of these environmental conditions by ventilation and air conditioning systems is in conflict with their energy requirements, which account for a considerable proportion of the energy requirements of industry in Germany. In practice, air conditioning systems are designed based on standards, technical rules and empirical values - usually oversized - and operated inefficiently due to insufficient knowledge of the system condition.
The 3DEMO project now aims on the one hand at the development of innovative service concepts on the basis of 3D emission monitoring in factory buildings, and on the other hand at the development of the necessary cyberphysical system and the necessary technological components. A technological building block is the network of wireless sensor nodes in connection with building simulation, which dynamically record the desired room air parameters. As a further technological building block, innovative visualization concepts make the information available to employees in a context and target-group-related and comprehensible form. This temporal and spatially high transparency of the environmental conditions, which is created by the cyberphysical system, in connection with the given saving potentials and benefits, offers numerous starting points for innovative service concepts to support the planning and operation of production or air conditioning systems. Among other things, planning and consulting services, but also innovative teleservice and operator/contracting models are planned here. The necessary technological building blocks (sensor nodes, modelling/simulation, visualisation) are available in principle, but will be adapted in the planned project according to the overall concept and converted into an innovative cyberphysical system. The applicability and transferability to different industries and company sizes/structures will be ensured by the composition of the application partners.
Funding: Bundesministerium für Wirtschaft und Energie (BMWi)
Project duration: 04/2019 to 03/2022
| Name | Phone | Room | |
|---|---|---|---|
| Prof. Dr. Felix Büsching | f.buesching[[at]]ostfalia.de | +49-531-3913289 | 111 |
| Jan Schlichter | schlichter[[at]]ibr.cs.tu-bs.de | +49-531-3913154 | 118 |
| Dr. Yannic Schröder | schroeder[[at]]ibr.cs.tu-bs.de | ||
| Prof. Dr.-Ing. Lars Wolf | wolf[[at]]ibr.cs.tu-bs.de | +49-531-3913288 | 138 |
| Title | Type | Supervisor | Status |
|---|---|---|---|
| Development of a sensor array for anemometric measurements, ... | Bachelor Thesis | Prof. Dr. Felix Büsching | finished ~2019 |
| Development and Evaluation of a 3D air flow sensor | Bachelor Thesis | Jan Schlichter | finished 2020 |
| Implementing BPbisv7 for RIOT OS | Bachelor Thesis | Jan Schlichter | finished 2020 |
| Sensorknotenentwicklung | HiWi Job | Jan Schlichter | finished |
| Implementation and Evaluation of IEEE-802.15.4 Beacon-Enabled Mode for RIOT | Master Thesis | Jan Schlichter | finished 2022 |
| Evaluating the suitability of NS3 for industrial WSNs | Bachelor Thesis | Jan Schlichter | finished 2021 |
| Dynamic Sample Rate Adaptation by Sensor Linkage in WSNs, ... | Master Thesis | Jan Schlichter | finished 2020 |
| Development of a 3D airflow visualization program | Project Thesis | Jan Schlichter | finished 2021 |
| Dynamic Sample Rate Adaptation through Machine Learning in Multisensor WSNs | Master Thesis | Jan Schlichter | finished 2022 |
| Evaluating Different Approaches for IPv6-Gateways in WSNs | Bachelor Thesis | Jan Schlichter | finished 2022 |
| Development and Evaluation of Multi-Connectivity in RIOT | Bachelor Thesis | Jan Schlichter, Dr.-Ing. Sven Pullwitt | finished 2022 |
if you are interested in writing a thesis regarding this project, please feel free to contact Jan Schlichter, or Prof. Dr. Felix Büsching.