FERI

Name of project: Intelligent System for Integrated Quality Control in Production with Reconfigurable Robot Control Cell and Intelligent Process Control System

Acronim: ROBKONCEL

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Project funding: Ministrstry for Education, Science and Sport

Time frame: 1.10.2018 - 30.09.2021

Budget: 3.296.650,00 €

The amount of co-financing: 1.957.537,50 €

UM FERI Coordinator: Prof. Ddr. Denis Đonlagić

Project Coordinator: SMM PROIZVODNI SISTEMI D.O.O.

Other partners: DEWESOFT d.o.o. izdelava programske opreme in proizvodnja elektronskih komponent, UNIOR Kovaška industrija d.d., GORENJE gospodinjski aparati, d.d., Univerza v Mariboru, Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI), Univerza v Mariboru, Fakulteta za strojništvo (UM FS)

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Smart specialization priority area: Factories of the future

Project summary:

The aim of the RR project is to develop an intelligent self-learning system for quality control in production that will be able to control the parameters of production processes, to perform control procedures and correlation of data from both phases, and to include possible large causes of errors, take action. The system will consist of two parts:

• An intelligent system for monitoring process parameters, storing them in a database, and analyzing these data using artificial intelligence methods;
• Reconfigurable robot control cells for 100% quality control on the assembly or other production line.

At the process control level, a new concept of data capture at the level of machining tools will be developed, which will be adapted and used by the technology of micro-optical sensors, which in aggressive processes, such as, the process of forging and post-processing, enabled the capture of process parameters where they are generated.

The developed reconfigurable robotic control cell will be able to implement procedures for final quality and product performance testing, which will include quality control with visual learning, which involves the active involvement of robots and humans. The cell will be able to adapt quickly to changed conditions or to changed products. This is one of the key features that will enable control of products also on lines that produce different types of finished products without or with minimal human intervention.

With the help of algorithms of artificial intelligence, the system itself will discover problematic relations in case of error or error. announced the foreseeable problem in the future, thus helping to key in troubles. It will cover all stages of production from the manufacture of semi-finished products to assembly and final control. scanning surfaces and performing manipulative robotic functions. For these purposes, new methods of robotic will be developed and used.