Development of a health-promoting assembly workplace with adaptive material provision and individual ergonomic optimization
01.09.2023 - 31.08.2025,
Funded by BMWK
As part of the research project, a health-promoting assembly system is being developed for individual ergonomic optimization with adaptive material provision. A sensor system consisting of wearables and cameras records relevant data during work. The central element uses a digital twin that maps a 3D simulation of the work process, including human and assembly system models based on the recorded actual data. Based on the data, ergonomic optimizations are made, whereby the assembly station is initially set up, and the material arrangement is continuously dynamically adapted to the process execution of the individual employee during assembly.
- R. Leder () (Project manager)
Mensch-Technik-Interaktion, Prozessoptimierung und -steuerung, Produzierendes Gewerbe, Digitaler Zwilling
Detection and AI-based analysis of ergonomic data in manual assembly using wearbles and machine vision techniques
Duration 01.09.2023 - 30.04.2025, Funded by Land Bremen
The primary objective of the envisaged project ErgoKI is the development of a system designed for the acquisition and AI-driven analysis of ergonomic data within the context of manual assembly, employing wearables and machine vision techniques. Through the utilization of various sensors and the development of an underlying data layer, a process modelling is carried out which enables the analysis of ergonomics and productivity within the domain of assembly. The key performance metrics are visualised within an intuitive human-machine interface and individual suggestions for improvement are derived. This helps to develop a better understanding of the individual requirements of employees and to implement ergonomic improvements in a more targeted manner.
- B. Vur () (Project manager)
- D. Schweers ()
Mensch-Technik-Interaktion, Produzierendes Gewerbe, Maschinelles Lernen / Künstliche Intelligenz, Training & Qualifizierung
Development of AR-based teleservices and intelligent job scheduling using diagnostic condition monitoring for the efficient maintenance of decentralized wastewater treatment plants
Duration 01.09.2023 - 31.08.2025, Funded by BMWK / AiF
The research project aims to develop a planning and control platform for personnel deployment to maintain small wastewater treatment plants. On the one hand, the platform will be used for the central recording and provision of customer and plant data for mobile employees and the central planning of orders and job offers. Specifically, the AR-based remote maintenance functionalities will support staff and customers in identifying, diagnosing, and documenting faults. In addition, using robust maintenance strategies, the platform will achieve a more even utilization of staff and avoid order peaks.
- D. Rippel () (Project manager)
Produkt- und Prozessentwicklung, Digitalisierung, Energie und Umwelt, Dienstleistungen, Assistenzsysteme, Digitale Plattformen / IoT
Digitization of gluing processes in the automotive industry
Duration 01.08.2023 - 31.07.2026, Funded by BMWK
Within the framework of the sub-project, research is being conducted on the development of methods and procedures for the analysis and prediction of system behavior, for example, in order to identify causes of quality deviations and to propose quality measures. For this purpose, the interdependencies are modeled first qualitatively and then quantitatively by means of so-called effect networks, whereby the data standards of the Asset Administration Shell and OPC-UA are used as a basis in order to establish compatibility and direct system integration in the digital twin.
Digitalisierung, Prozessoptimierung und -steuerung, Automotive, Prozessmodellierung und Simulation, Maschinelles Lernen / Künstliche Intelligenz
Developing human resources in service work
01.07.2023 - 30.06.2028,
Funded by BMBF
A competence center for logistics and health-related services will be established in the project in collaboration with practitioners and scientists. RessourcE intends to initiate sustainable transfer structures between research and practice and develop innovations for effective work design, leadership and opportunities for human resource development in the field of low-qualified work. Technical solutions for ergonomic work design and diversity-oriented competence development in low-qualified work are developed, piloted and tested regarding broad applicability. These solutions include, for example, assistance systems for physical work, concepts for supporting mental health, or software tools for systematic selection of suitable assistance technologies.
- B. Pupkes () (Project manager)
Mensch-Technik-Interaktion, Maritime Wirtschaft, Verkehr und Logistik, Assistenzsysteme, Training & Qualifizierung
December 5, 2023, 3 - 6 p.m., BIBA
9th International Conference on Dynamics in Logistics - LDIC 2024
February 14 - 16, 2024, BIBA