Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

Secure Shortcut (SeeCut)

Reference number
Coordinator Luleå tekniska universitet - Institutionen för rymd- och systemteknik
Funding from Vinnova SEK 500 000
Project duration June 2019 - December 2019
Status Completed
Venture The strategic innovation programme for Production2030

Important results from the project

The aim of the project was to investigate how solutions based on Arrowhead Framework (AF) can make customization and updating of automation systems cheaper while increasing flexibility. The aim of the project was to identify for such solutions technical requirements and solutions for problem data collection and control of production systems. The project has achieved its goals by refining and expanding the problems addressed and identifying a solution architecture for which AF, in combination with distributed agent architectures, is included.

Expected long term effects

The expected effects of the project are to identify, through digitization and Industry 4.0 inspired solutions, ways to (1) facilitate collaboration in value chains, between large, medium and small companies. In addition, the project is expected to identify solutions that can (2) save time and costs in managing production systems and sharing data in such systems. Two of the project partners have proceeded with a step 2 proposal linked to (1) and the majority of the project parties are likely to jointly seek research funding at UE level linked to (2).

Approach and implementation

The project has analyzed two specific use cases that GKN has provided for the project. On the basis of these user cases, problems have been refined and expanded. The problems have been used to discuss and identify a solution architecture that combines AF with distributed agent architectures. In addition, the applicability of architecture at different levels in industrial automation systems has been analyzed with the aim to assess its potential for different parts of industrial automation systems. This approach has worked well for the project.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 23 May 2019

Reference number 2019-02500