ACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systems

dc.contributor.authorBatarseh, Ferasen
dc.contributor.authorKulkarni, Ajayen
dc.contributor.authorSreng, Chhaylyen
dc.contributor.authorLin, Justiceen
dc.contributor.authorMaksud, Siamen
dc.date.accessioned2023-10-04T16:14:05Zen
dc.date.available2023-10-04T16:14:05Zen
dc.date.issued2023-10-05en
dc.description.abstractThis manuscript presents a novel state-of-the-art cyber-physical water testbed, namely: The AI and Cyber for Water and Agriculture testbed (ACWA). ACWA is motivated by the need to advance water resources’ management using AI and Cybersecurity experimentation. The main goal of ACWA is to address pressing challenges in the water and agricultural domains by utilising cutting-edge AI and data-driven technologies. These challenges include Cyberbiosecurity, resources’ management, access to water, sustainability, and data-driven decision-making, among others. To address such issues, ACWA consists of multiple topologies, sensors, computational nodes, pumps, tanks, smart water devices, as well as databases and AI models that control the system. Moreover, we present ACWA simulator, which is a software-based water digital twin. The simulator runs on fluid and constituent transport principles that produce theoretical time series of a water distribution system. This creates a good validation point for comparing the theoretical approach with real-life results via the physical ACWA testbed. ACWA data are available to AI and water domain researchers and are hosted in an online public repository. In this paper, the system is introduced in detail and compared with existing water testbeds; additionally, example use-cases are described along with novel outcomes such as datasets, software, and AI-related scenarios.en
dc.identifier.urihttp://hdl.handle.net/10919/116411en
dc.language.isoenen
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectArtificial Intelligence (AI)en
dc.subjectWater Systemsen
dc.subjectCyberbiosecurityen
dc.subjectTestbeden
dc.subjectTopologyen
dc.titleACWA: An AI-driven Cyber-Physical Testbed for Intelligent Water Systemsen
dc.typeArticleen

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