Periodic Reporting for period 2 - IoT4Win (Internet of Thing for Smart Water Innovative Networks)
Période du rapport: 2020-03-01 au 2022-05-31
IoT4Win aimed to establish a unique European Industrial Doctorate initiative to meet the current and future demand for highly skilled entrepreneurs in the Internet of Things and water research by developing and advancing European capacity in the design and development of Smart Water Network (SWN). IoT4Win designed three individual research projects to address the challenges and highlight the research gaps in the IoT framework for SWN, covering the core SWN research areas, i.e. smart sensing and trusted communication within energy-limited heterogeneous devices in IoT-enabled urban water environment; dynamic sensor web, and interoperable open platform with Integrated Knowledge Management for smart water networks; data security and intelligence in IoT enabled SWN. Combining these projects should establish an interoperable, secure, and intelligent underlying technology creating an open platform for IoT-enabled SWN applications.
1. Proposed a sensor deployment method that facilitates near/real-time water quality monitoring by multi-objective optimisation within multi-contamination sources.
2. Analysed the impact on human health in simulating contaminated water networks based on the deployed sensors.
3. Developed machine learning and deep learning models to enhance water contaminant detection.
4. Developed the proposed context-aware framework integrating the results 1-3 for near/real-time monitoring in WDS
Work package 2 (WP2) –ESR2 (SLG-GR) investigated large-scale stream processing solutions to interlink data from IoTs and extract real-time information for SWN, covering the integration of heterogeneous data streams, and large-scale IoT stream processing, and real-time information processing and knowledge extraction. Data Information Interoperability Model (DIIM) can help water utilities to analyse data to help decision making. WP2 generated 3 technical reports and one publication on IEEE ICSC 2022. WP2 main achievements:
1. Reviewed interoperability challenges faced by IoT-enabled SWN.
2. Developed a Data Information Interoperability Model (DIIM) with a focus on the syntactic and semantic interoperability issues to enable and enhance the interoperability of IoT data.
3. Defined a real-world use case of water quality monitoring in the water distribution system with the evaluation of the DIIM.
4. Implement a showcase of DIIM in Python by Natural language processing techniques to find similarities between IoT and domain-specific ontologies.
Work package (WP3) –ESR3 (BCU) developed an architecture using data intelligence for Cyber-physical systems (CPS) in Smart Water Networks (SWN) to improve the security and resilience of water networks.WP3 investigated potential new data intelligent techniques to preserve the security and resilience of CPS in SWN. Attack detection and data validation model and toolkits were developed to detect and mitigate Cyber-Physical attacks in SWN using ML and blockchain. WP3 generated 5 research papers, 4 technical reports, and a Ph.D. thesis. ESR3 successfully obtained his Ph.D. degree in May 2022 at BCU. WP3 main achievements:
1. Reviewed the previous CPS attacks in SWN, their consequences, and learned lessons
2. Developed an attack detection simulation model on MATLAB using machine learning algorithms
3. Developed data validation simulation model in SWN considering the security requirements using consensus algorithms of blockchain technology
4. Developed an integrated attack detection simulation model using hybrid machine-learning and blockchain technology
IOT4Win delivered all S&T WPs; the research outcomes and achievements generated two Ph.D. completions. The research outputs have been published in scientific journals and conferences and published in open access. All ERSs have seconded with industrial partners and academia onsite and virtually. Four research training workshops for ESRs have been delivered by the IOT4Win consortium and other dissemination events were organized for industrial engagement and outreach.
Wider societal implications from IoT4Win are the provision of smart technologies to solve global water issues and enhance efficient and resilient water management for smart water networks under the uncertainty of climate changes, leading to healthy living and a smart society