| Carl Friedrich Gauß Faculty | Department of Computer Science

3DEMO - Safe and energy-efficient factories through 3D Emission Monitoring

Project Description

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

Project partners

Project members at IBR

Prof. Dr. Felix Büschingbuesching[[at]]ibr.cs.tu-bs.de+49-531-3913289111
Jan Schlichterschlichter[[at]]ibr.cs.tu-bs.de+49-531-3913154118
Yannic Schröderschroeder[[at]]ibr.cs.tu-bs.de+49-531-3913249134
Prof. Dr.-Ing. Lars Wolfwolf[[at]]ibr.cs.tu-bs.de+49-531-3913288138


SensorknotenentwicklungHiWi JobJan Schlichteropen
Evaluating the Suitability of Wireless Industrial Network ProtocolsBachelor Thesis, Master ThesisJan Schlichteropen
Evaluating Channel Access Methods for Industrial WSNsMaster ThesisJan Schlichteropen
Dynamic Sample Rate Adaptation through Machine Learning in Multisensor WSNsMaster ThesisJan Schlichter, Daniel Bräckelmannopen
Evaluating the suitability of NS3 for industrial WSNsBachelor ThesisJan Schlichterrunning
Entwicklung eines Sensorarrays für anemometrische Messungen, Development of a sensor array for anemometric measurementsBachelor ThesisProf. Dr. Felix Büschingfinished
Development and Evaluation of a 3D air flow sensorBachelor ThesisJan Schlichterfinished
Implementing BPbisv7 for RIOT OSBachelor ThesisJan Schlichterfinished
Dynamische Anpassung der Abtastrate durch Sensorverknüpfung in WSNs, Dynamic Sample Rate Adaptation by Sensor Linkage in WSNsMaster ThesisJan Schlichterfinished

if you are interested in writing a thesis regarding this project, please feel free to contact Jan Schlichter, or Prof. Dr. Felix Büsching.


  • No entries found.

last changed 2019-10-18, 11:04 (dynamic content) by Jan Schlichter