Home Countries Europe: Research body exhibits cleaning robot for beverage factories at show

Europe: Research body exhibits cleaning robot for beverage factories at show

SHARE

Fraunhofer IVV Dresden will present a mobile cleaning robot for the beverage industry at the drinktec fair in Munich, Germany from September 11 to 15, 2017.

It will also display a jet cleaner for tanks.

With simulation tools, there will also be effective cleaning in a production environment without the need for time-consuming cleaning tests on machine prototypes.

The mobile cleaning device (MCD) is a self-driven system for fully automated cleaning.

In contrast to standard cleaning systems, the MCD is not installed in a machine, rather it can be used to clean several machines.

Movement between machine modules can take place by a drive unit or utilizing existing transport systems.

The MCD has an optical sensor system for dirt detection and adaptive cleaning.

It senses which regions need to be cleaned and indicates when the cleaning has been successfully completed.

Data are continuously logged.

The virtual twin of the MCD comprises an adaptive model of the cleaning process.

Combining this with cognitive control concepts and a sensor system for dirt detection allow an adaptive cleaning in response to the actual hygienic state of the machine.

Separately driven nozzles are available for foam and spray cleaning.

Targeted cleaning of parts of machines is as possible as the cleaning of whole machines.

Cleaning tanks

In order to simulate complex jet cleaning systems, the Fraunhofer IVV Dresden will be presenting software that is currently being developed in a project funded by the Federal Ministry of Education and Research (BMBF).

This allows cleaning systems from designers to be simulated in a computer aided design or CAD system in real time, so that in the future enabling cleaning systems can be tested and optimized in advance of their use.

There is no need for complex iterative adaptations to prototype systems or at the customer.

With simulation-aided optimization, uniform cleaning of surfaces is achieved and the total system automatically adapts to the situation in the tank.

The self-learning and self-optimizing tank cleaning system comprises a motorized tank cleaner, dirt sensor system, and cognitive control unit and is currently being developed for industrial application in a project funded by the Federal Ministry for Economic Affairs and Energy.