The overall strategy for the "Test Arena Blekinge" is Smart Specialization with a focus on the innovation potential in the region.
The overall and long-term goal of the project is that the small and medium-sized companies in Blekinge in Marine Technology, Telecom / IT and eHealth should have increased their capacity for innovation and strengthened their competitiveness through collaboration and the establishment of three test arenas.
The purpose of the project is primarily to create open test arenas in the three focus areas Marine Technology, Telecom / IT and eHealth, during which we will carry out six concrete development projects during the project period.
In each development project, postgraduate students and researchers will work on creating new knowledge based on the needs challenges identified by companies that work in the focus areas. Development projects will also develop methods for testing, verification and certification that will form the basis for test bed operations within the framework of each test arena.
With the experience of the six development projects, the project will develop the innovation environment by creating three test arenas within each of the profile areas for a long-term increased innovation capability.
The project evaluates the potential of online big data analysis in sheet metal forming. The inputs to the project are both measurements of the sheet properties, eg mechanical properties, surface fineness and amount of oil, and the geometry of the finished detail. This data volume will then be analyzed online (remote and cloud) using different methods and models to find the connection between input data and results after pressing.
One of the objectives of the project is to develop a test bed in Blekinge for the application of IoT to industrial manufacturing machines.
With Machine Learning, computers can automatically find patterns and gain insights from large amounts of data without pre-telling what to look for, where to look or how to go.
The rapid technological development allows Machine Learning to accelerate an organization's ability to discover and evaluate new patterns and relationships many times. Machine Learning can be applied in a variety of areas such as manufacturing industry, healthcare, fraud, etc.
Project 3: Ny teknik för äldre (E-health)
Project 4: Behandling på distans (E-health)
Project 5: Arbete under vatten (Marine Technology)
Project 6: Detektera i botten (Marine Technology)
BTH project leaders: Prof Tobias Larsson (project 1), Peter Anderberg (Project 3 & 4), Oskar Frånberg (project 5 & 6)
Time span: 2017-2020
Funding: 24 MSEK (ERUF, BSP, BTH, Region Blekinge)
- Blue Science Park
- Blekinge Institute of Technology
- County Council of Blekinge
- Outpost 24
- Telenor Connexion
- Volvo Cars Corporation