The next generation of SCADA (Supervisory Control and Data Acquisition) systems must develop a set of autonomous and intelligent capabilities to address a number of pressing requirements. Problems presented by increasing process complexity, advances in sensor technologies, the increasing demand for integration with other enterprise solutions, increasingly inadequate security protection and a higher required standard of fault tolerance must all be solved.
To provide solutions to these problems, the proposed research focuses on the development of a novel Multi-Agent System (MAS) architecture supporting SCADA systems, built on research on MAS carried out at IIIA in Barcelona. This architecture is to be integrated with an advanced event reasoning framework that has been partially developed at Queen's University Belfast which will fully exploit sensor data and domain knowledge, including treatment of inherent uncertainties, incompleteness and inconsistency to autonomously infer system state and crucially to inform human and autonomous decision makers in the system. Security issues related to multi-agent systems for large scale control problems will also be investigated and such technologies to be integrated into next generation MASs.
Principle researcher: Weiru Liu (CSIT, Queen's University Belfast)
Co-investigators: Sakir Sezer, Michael Loughlin, Jun Hong (CSIT, Queen's University Belfast)
Collaborators: Lluis Godo, Carles Sierra (IIIA-CSIC)