Cleaning 4.0 in the meat processing industry – higher cleaning efficiency using robots and simulation software
The upcoming international fair of the meat industry IFFA from 4 to 9 May 2019 in Frankfurt will see the Fraunhofer IVV present new technologies for the efficient cleaning of meat processing plants and machinery. A versatile, mobile cleaning robot is used for this, with concomitant time and cost savings. In addition, innovative simulation software is allowing the rapid and effective design of spray cleaning systems. It guarantees effective and precisely targeted cleaning and saves time-consuming tests in the plant design phase. Both technologies will be presented in the VDMA Technology Lounge in Hall 11.1, B41.
Highly versatile cleaning robot - Mobile Cleaning Device
The Mobile Cleaning Device (MCD) allows the adaptive cleaning of plants and machinery. It is a self-driven system that can be used for fully automated cleaning in the whole production area. The cleaning carried out by the MDC is precisely adapted to its position by virtue of an optical sensor for dirt recognition and other sensors for recognition of the surroundings. Inline monitoring indicates which regions need to be cleaned and when the cleaning has been successfully completed. Data are continuously logged. Depending on the requirements, various nozzles such as flat fan nozzles and rotary spray heads can be chosen. They can be individually switched on and off.
Simulation software for intelligent cleaning
The Fraunhofer IVV in Dresden has worked with IT specialists to develop SIMKOR software for simulating complex, open, spray cleaning systems. This software allows cleaning systems from designers to be simulated virtually and almost in real time. The components/machinery/plants to be cleaned are entered as CAD data. This enables the cleaning effect to be controlled in a customized way. In particular, this facilitates access to difficult to clean areas. The SIMKOR software allows cleaning systems to be virtually tested and optimized in advance. There is hence no need for complex iterative modifications to prototypes or long and costly design and optimization processes at the customer.