The Fraunhofer IVV Dresden will present two new systems for efficient process management at interpack 2017 from 4-10 May 2017 in Düsseldorf on the stand of the VDMA (Hall 5, Stand J38): An innovative mobile device for cleaning processing machinery and a self-learning assistance system to help remedy machine faults.
Versatile and mobile – the new device for cleaning processing machinery
A new mobile device has been developed by the Fraunhofer IVV Dresden to facilitate the cleaning of processing machinery. The showcase "Mobile Cleaning Device" (MCD) brings together the benefits of traditional automated cleaning systems and the versatility of manual cleaning.
The MCD has an optical sensor system for dirt detection and adaptive cleaning. What areas are dirty and need cleaning? When is the cleaning finished? Was it successful? In the future these questions will be able to be answered using inline sensor systems.
The virtual twin of the MCD comprises an adaptive model of the cleaning process. Combining this with cognitive control concepts and the sensor system for dirt detection allows for the first time adaptive cleaning, namely cleaning adapted to the hygienic state of the machinery. The flexibility of the system is also evident in the drive concept.
Movement between machine modules can take place via an own drive unit or by utilizing existing transport systems such as conveyor belts. In contrast to standard cleaning systems, the MCD is not installed in a dedicated way in a machine, rather it can be used in a versatile way to clean several machines. Separately driven nozzles are available for foam and spray cleaning. Besides the cleaning of whole machines, the targeted cleaning of parts of a machine is also possible.
Self-learning assistance system improves machine efficiency
The Fraunhofer IVV Dresden is actively developing self-learning assistance systems for processing machinery and will present the first concepts at interpack 2017. The decisive factor for starting the development work was recognition that even the most advanced production lines are prone to often short faults/stoppages every five minutes on average.
Processes and machinery are becoming ever more complex. Many production line operators are thus unable to remedy faults at their source, and so only manage to alleviate the short-term effects. Even highly advanced sensor systems are not always able to prevent faults, for example those caused by fluctuating product properties.
The most important source of knowledge for remedying machine faults is the knowledge of experienced, qualified machine operators. In order for this knowledge to be passed down to less experienced personnel, the Fraunhofer IVV Dresden is pursuing various concepts for providing operators with information about fault elimination relevant for the prevailing conditions.
These concepts have now been brought together in SAM, the self-learning assistance system for machines, which helps operators remedy faults via a quasi navigation system. A foundation for this is anomaly detection in patterns of sensor signal based on the techniques of data mining and machine learning. Future steps will develop a cooperative dialog system. This will allow the assistance system to learn directly from the operator and together propose a problem-solving strategy, without the SAM itself actively engaging in the production process.
Presse Institute | idw - Informationsdienst Wissenschaft
Innovative Infrared heat reduces energy consumption in coating packaging for food
12.12.2018 | Heraeus Noblelight GmbH
Mobile learning, artificial intelligence and digital training formats in science and research
04.12.2018 | time4you GmbH
The more objects we make "smart," from watches to entire buildings, the greater the need for these devices to store and retrieve massive amounts of data quickly without consuming too much power.
Millions of new memory cells could be part of a computer chip and provide that speed and energy savings, thanks to the discovery of a previously unobserved...
What if, instead of turning up the thermostat, you could warm up with high-tech, flexible patches sewn into your clothes - while significantly reducing your...
A widely used diabetes medication combined with an antihypertensive drug specifically inhibits tumor growth – this was discovered by researchers from the University of Basel’s Biozentrum two years ago. In a follow-up study, recently published in “Cell Reports”, the scientists report that this drug cocktail induces cancer cell death by switching off their energy supply.
The widely used anti-diabetes drug metformin not only reduces blood sugar but also has an anti-cancer effect. However, the metformin dose commonly used in the...
A research team from the University of Zurich has developed a new drone that can retract its propeller arms in flight and make itself small to fit through narrow gaps and holes. This is particularly useful when searching for victims of natural disasters.
Inspecting a damaged building after an earthquake or during a fire is exactly the kind of job that human rescuers would like drones to do for them. A flying...
Over the last decade, there has been much excitement about the discovery, recognised by the Nobel Prize in Physics only two years ago, that there are two types...
12.12.2018 | Event News
10.12.2018 | Event News
06.12.2018 | Event News
14.12.2018 | Power and Electrical Engineering
14.12.2018 | Physics and Astronomy
14.12.2018 | Physics and Astronomy