Iglesias Vázquez (2025) Proof of Concept: JUNON Digital Twin (v1.4d)

Identification

• Journal: HAL (Le Centre pour la Communication Scientifique Directe)
• Year: 2025
• Date: 2025-11-11
• Authors: Iglesias Vázquez, Félix
• DOI: 10.48436/b615a-vgd97

Research Groups

• TU Wien (Vienna University of Technology)
• JUNON Research Programme (Centre-Val de Loire, France)

Short Summary

This study presents a proof-of-concept (PoC) for the JUNON Digital Twin, a modular software architecture designed to monitor and manage continental environments in the Centre-Val de Loire region. The system integrates real-time aquifer and meteorological data to provide visualization, forecasting, and spatial analysis services for natural resource management.

Objective

• To design and validate a digital twin prototype for continental environments that facilitates data exchange, communication protocols, and environmental monitoring services (specifically groundwater levels) using a FIWARE-based architecture.

Study Configuration

• Spatial Scale: Regional (Centre-Val de Loire, France), focusing on 53 strategic piezometric sensor locations.
• Temporal Scale: January 2020 to July 2025 (extendable by the user).

Methodology and Data

• Models used: FIWARE-based network architecture (Orion Context Manager, Cygnus, STH-Comet), Flask/Dash web application, and dockerized modules for data management and scheduling.
• Data sources: Hub'Eau-ADEs (aquifer water levels from 53 piezometric sensors), MétéoFrance-Safran (meteorological and climate measurements/estimations), and Folium (interactive geographic maps).

Main Results

• Successful implementation of a dockerized Digital Twin PoC (v1.4d) capable of handling multi-source environmental data on a single machine.
• Integration of hydrological data from 53 sensors with climate data for comprehensive environmental analysis.
• Delivery of four core digital services: historical data visualization, time series forecasting (with or without exogenous inputs), multivariate time series clustering, and 2D spatial interpolation for water-level mapping.
• Establishment of a reproducible software environment using Docker images and SHA-256 digests to ensure long-term replicability.

Contributions

• Provides a scalable, open-source (MIT/CC BY 4.0) framework for environmental Digital Twins using the FIWARE ecosystem.
• Demonstrates a functional integration of heterogeneous data sources (hydrological, meteorological, and geospatial) into a unified digital research cluster for regional environmental management.
• Offers a precompiled, ISO-compliant metadata repository to support Open Access research in continental environmental sciences.

Funding

• JUNON Research Programme (Centre-Val de Loire region, France).

Citation

@article{IglesiasVázquez2025Proof,
  author = {Iglesias Vázquez, Félix},
  title = {Proof of Concept: JUNON Digital Twin (v1.4d)},
  journal = {HAL (Le Centre pour la Communication Scientifique Directe)},
  year = {2025},
  doi = {10.48436/b615a-vgd97},
  url = {https://doi.org/10.48436/b615a-vgd97}
}

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