Recent advancements in Industry 4.0, high speed networks, cloud computing and artificial intelligence are bringing more focus on connected autonomous solutions across diverse domains from transportation to manufacturing. These solutions are typically many collaborating systems and a key challenge is how to ensure that the resulting complex system of systems (SoS) is sufficiently dependable to operate. Specifically, safety, security and timeliness are essential attributes since any anomalies or threats that undermines these attributes can have a catastrophic impact on human lives, environment, or costly equipment.
Our aim is to design methods that can assure the dependability requirements in the context of complex SoS such as connected and collaborating vehicles for intelligent transportation or collaborating robots and guided vehicles in a manufacturing plant.
DAISY project will develop methods to improve the ability of industrial networks to prevent, withstand and evolve in case of various types of anomalies, through fault tolerant scheduling of 5G and Time sensitive networks.
Modeling and Safety Analysis for Collaborative Safety-Critical Systems Using Hierarchical Colored Petri Nets (Jan 2024) Nazakat Ali, Sasikumar Punnekkat, Abdul Rauf Journal of Systems and Software (JSS)
Composite Hazard Analysis of System of Systems for Mixed-Traffic Automation in Underground Mine (Jul 2023) Nazakat Ali, Sasikumar Punnekkat IEEE 14th International Conference on Ubiquitous and Future Networks (ICUFN)
Partner | Type |
---|---|
Ericsson AB | Industrial |