Demonstrator to create a disruptive innovation of the recycling industry´s circular flows

Purpose and goal

The aim of the project was to evaluate how new innovative technology and pioneering applications in automation and digitalization can optimize and develop the processing processes in the production of recycled raw material. Through a demonstrator environment set up at Stena Nordic Recycling Center, we have been able to innovate and implement state of the art technology, machine learning and visualization. We were able to proof that, with state of the art technology, AI and visualisation of relevant data, we can increase the production process control and respond quicker to deviances.

Expected results and effects

Several new AI-based measurement methods have been developed and tested as part of the digitization of specific use cases in aluminum recycling. The results show a clear reduction in the need for manual checks. The methods have also contributed to greater security in planning the predictive maintenance of processes, leading to increased utilization and higher process quality (fewer stops and unplanned interruptions). Overall, this contributes to an increased recycling rate.

Planned approach and implementation

By combining the operators´ knowledge and experience of the various recycling processes with the latest technology in computer vision, machine learning, advanced automation, integration platforms, control room concepts, etc., we have managed to create unique demonstrations of the potential for increased efficiency and process control in selected use cases. Qualifying and securing access to good data sets for system training and result visualization has also been a factor for success.

External links

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