Data-driven cyber-physical networked systems for autonomous cognitive control and adaptive learning in industrial and urban water environments (INDURB)

The WISENET Lab has obtained also funding for the INDURB project from the IKTPLUSS Program, Research Council of Norway. The project INDURB focuses on data-driven cyber-physical networked systems for autonomous cognitive control in water environments.

Only two long-term research projects (out of more than 100 project proposal applications) were selected in the whole IKTPLUSS Call, one of them INDURB, led by the WISENET Lab at UiA.

The INDURB project involves highly multidisciplinary research across different areas, and in addition to international cooperation, it will have a direct strong impact on both the Sørlandet region and national-wise through the various water-related circuits and problems.

Full project name: Data-driven cyber-physical networked systems for autonomous cognitive control and adaptive learning in industrial and urban water environments (INDURB)

Funding: Researcher Project, IKTPLUSS Program, Research Council of Norway

Principal Investigators: Prof. Baltasar Beferull-Lozano, Prof. Helge Liltved, Prof. Jing Zhou.

Topic: Water infrastructures in both urban and industrial environments face new challenges that prompt novel autonomous control and data processing systems capable of ensuring water quality and handling emergency situations. For example, water distribution networks are especially vulnerable to accidental spills or terrorist attacks, which can compromise the lives of the inhabitants of an entire city. Aquaponic industrial plants, which combine aquaculture with hydroponics to symbiotically raise plants and fish, constitute another prominent example. These plants promise to sustainably alleviate food shortages in the midterm future if water and climate parameters are intelligently controlled to maximize production. Unfortunately,state-of-the-art tools in engineering are unable to meet these demands.

INDURB introduces a cohesive and multidisciplinary approach that leverages recent advances in machine learning and data science to develop smart sensing and control mechanisms for water infrastructures. The work plan includes the design and implementation of cyber-physical systems (CPSs) for autonomous control and data processing in urban water distribution networks and industrial plants. Key tasks of the designed CPSs include a) reliable water health protection from chemical and microbiological contamination through chemical dosage and control of smart valves and pumps; b) improved decision making and future planning for service operations; and c) real-time bidirectional interaction with the end-users, which comprise water utilities as well as food and water consumers.

The merits of the designed CPSs will be demonstrated by means of two pilot deployments in a real water distribution network and a real aquaponic factory. These tasks will be accomplished in cooperation with partners NIVA, which is a world-wide leader in water technology; the Municipality of Kristiansand, which pursues multiple smart city objectives; and FAqua, which is a pioneer company in aquaponic technology

Participant Institutions: WISENET-UiA (Coordinator), CEIT-TECNUN, NIVA, University of Southern California, ICS-FORTH, Kristiansand Municipality, Feedback Aquaculture

Period: 2018 – 2023