The OPTIMUM project contributes to the German industry project Industrie 4.0 and joins the international and European initiatives in the "digital manufacturing" environment. Compared to today's central and hierarchically structured control and application processes, future, component-based concepts and "collaborative automation" require distributed functionalities. The technologies to be developed in OPTIMUM are intended to enable manufacturers and especially hoisting machine manufacturers to reduce the hardware variants of the control technology used while at the same time increasing the modularity of the software. Context and position information are intended to allow assistance functions that lead to greater efficiency, comfort and safety, thus improving the chances of new innovative products on the market. Taking into account current discussions on industry-compliant architectures, components and services, OPTIMUM has the following objectives:

•       Improving aspects of distributed control

•       Use and adapt technologies from the IIoT environment for real industrial applications

•       Improve control logic and applications by taking into account context and location information

•       Model- and 3D-based engineering and plant monitoring

The Institute MD will focus on real-time distributed control, localization of objects in the industrial environment and industrial IoT protocols. Initially, the institute will participate in the use case "Material Handling". A particular focus will be on the development of an inexpensive and accurate localization system. The localization data is made available at real-time and serves to improve safety, for example to prevent the accident between machines and personnel, and to realize new functions for process optimization. Consequently, new open IP-based network concepts are tested for usability in the distributed control system.

This project is funded by the German Ministry for Education and Research (BMBF) under the grant number: 01IS17027H

01.09.2017 - 31.08.202