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Logo: ITA
Logo Leibniz Universität Hannover
Logo: ITA
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Automation Technology

Automation technology is an aspect to improve the efficiency of machines, equipment and processes. Automation technology is making its way into many new application areas and forms the interface between mechanical engineering, electrical engineering and information technology. Due to the increasing product variety and complexity of sensors and actuators, individual system solutions are required. The application-specific design, prototypic implementation and integration of sensor technologies is as much a focus of the ITA as is the development of innovative algorithms for controls and data analysis. In addition, the increase in the degree of automation of machines, systems and processes is also one of our core competencies.


Automation of systems and processes

In order to increase the degree of automation and thus also the cost-effectiveness of machines, complex systems and processes, the ITA deals with the analysis of complex workflows and the development of specific automation concepts that are optimized and validated by additional simulations.


Wireless identification and sensor technologies

The use of wireless identification and sensor technologies (e.g. RFID and 3D image processing) is one aspect with which to improve the automation of systems and processes in the sense of Industry 4.0. Since numerous system parameters influence the applicability of these technologies, a system-specific analysis of the respective process steps and the associated design and technological adaptation are carried out for the purpose of system integration.

Algorithms for control and data analysis

In order to ensure the performance of the sensor technologies used, effective and efficient controls, together with application-specific strategies for data analysis, are required. This is where the focus of the workgroup is on the automation of the measurement data acquisition and evaluation, the data fusion of different sensor systems as well as the development of decentralized, distributed control systems.