Tools and Technologies

This catalogue is a dataset of data models, AI technologies, simulation tools, intelligent systems, and digital twins for inland water management. The catalogue includes hydrological models for predicting flow and quality, social models for water usage, and hydraulic models for urban distribution. AI technologies, such as machine learning algorithms for processing hydrological data and analysing satellite images, are identified. Simulation tools are catalogued based on their ability to predict event outcomes. Intelligent systems integrating cyber-physical architectures, sensors, actuators, and software are analysed for their roles in monitoring, event detection, risk assessment, and decision support. Digital twins, which combine real data with models and simulations to create virtual system replicas, are also included.

ID â–² Name Technology Type Data used as input Produced datasets (openly available) Demo (video if available) Paper (if available) Paper DOI (if available) Project ID (if available) Project Acronym (if available) Service description
technologies-851 SCENT Not specified Citizen sourced data platform Citizen observations Not specified Not specified SCENT: Citizen Sourced Data in Support of Environmental Monitoring 10.1109/cscs.2017.93 690900 DATA4WATER Supports environmental monitoring using citizen-sourced data.
technologies-852 SCENT INTEGRATED TOOLBOX Not specified Toolbox Flood data Not specified Not specified SCENT INTEGRATED TOOLBOX FOR MONITORING FLOOD PHENOMENA 10.2495/friar180121 690900 DATA4WATER Monitors flood phenomena.
technologies-853 BigClue Not specified IoT data processing platform Sensor data from various domains Not specified Not specified BigClue: Towards a generic IoT cross-domain data processing platform 10.1109/ICCP.2018.8516597 690900 DATA4WATER Processes IoT data across multiple domains.
technologies-854 BigClue Analytics Not specified Analytics platform Sensor data Not specified Not specified BigClue Analytics: Modeling Sensor Data and Anomaly Detection in IoT Systems Not specified 690900 DATA4WATER Models sensor data and detects anomalies in IoT systems.
technologies-855 EdgeMQ Message queuing system Cloud-edge computing Water and forest monitoring data Not specified Not specified EdgeMQ: Towards a Message Queuing Processing System for Cloud-Edge Computing: (Use Cases on Water and Forest Monitoring) 10.1109/ISPDC2018.2018.00016 690900 DATA4WATER Provides message queuing for cloud-edge computing, with use cases in water and forest monitoring.
technologies-856 Expert MPC Model Predictive Control Controller Field data from RO plant Not specified Not specified Real-Time Implementation of an Expert Model Predictive Controller in a Pilot-Scale Reverse Osmosis Plant for Brackish and Seawater Desalination 10.3390/app9142932 824046 PURE-WATER Optimal operation of RO desalination process
technologies-857 Fault Detection and Isolation (FDI) System Structural analysis, Binary Integer Linear Programming (BILP) Diagnostic System Data from ISROD plant Not specified Not specified Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant 10.3390/pr8091100 824046 PURE-WATER Fault detection and isolation in ISROD plants
technologies-858 Modulating Function Based State Estimator Modulating Functions Method Observer Boundary measurements Not specified Not specified State Estimation for Coupled Reaction-Diffusion PDE Systems Using Modulating Functions 10.3390/s22135008 824046 PURE-WATER State estimation for coupled reaction-diffusion PDE systems
technologies-859 Adaptive Identification Method Modulating functions, Exact state observers System identification Input and output process data Not specified Not specified An Adaptive Identification Method Based on the Modulating Functions Technique and Exact State Observers for Modeling and Simulation of a Nonlinear Miso Glass Melting Process 10.2478/amcs-2019-0055 824046 PURE-WATER On-line temporary linear model of a MISO process
technologies-860 Implicit Discrete-Time Super-Twisting Observer Super-Twisting Sliding Mode Observer Observer Not specified Not specified Not specified On implementing the implicit discrete-time super-twisting observer on mechanical systems 10.1002/rnc.6764 824046 PURE-WATER State estimation for nonlinear systems