One Step Closer to the Autonomous Mine
RISE collaborates on 5G and edge computing technologies to advance automation in Sweden's mining industry, creating more intelligent systems for improved safety and productivity.
5G and edge computing are set to transform Sweden’s mining industry, enabling new levels of automation that improve both worker safety and operational efficiency. RISE is a key partner in this transformation, bringing AI and infrastructure expertise to underground environments.
The Vision
According to Karl Andersson, professor of distributed computer systems at Lulea University of Technology, the goal is to “create more intelligent systems that will move the boundaries of autonomy, productivity and security in the mines.”
The Technology Stack
5G Networks
5G deployment offers crucial improvements for mining applications:
- Faster data transmission for real-time control
- Reduced latency for time-critical decisions
- Reliable connectivity in challenging underground environments
Edge Computing
When software runs at the network edge rather than in distant datacenters, performance improves dramatically. For autonomous mining vehicles and safety systems, this reduced latency is essential.
RISE’s Role
Emil Svanberg, project manager at RISE, describes the organization’s contribution: RISE will “implement prototypes of edge nodes, both hardware and software” for demonstration in testing environments and participating mines.
Project Structure
The 5G Edge Innovations for Mining project involves:
- Duration: Three years
- Coordinator: Lulea University of Technology
- Funding: Vinnova’s Advanced and Innovative Digitization program
- Partners: BI Nordic AB, FieldRobotix AB, Neava AB, ThingWave AB
Expected Benefits
The autonomous mine initiative promises:
- Enhanced worker safety in hazardous environments
- Improved productivity through intelligent optimization
- Better working conditions as dangerous tasks are automated
- Reduced environmental impact through efficiency gains
Looking Forward
This project exemplifies Sweden’s approach to AI adoption - combining academic research, industry partners, and applied research institutes to solve real challenges while building capabilities for the future.
