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StephenCreff edited this page Apr 16, 2026 · 6 revisions

Digital twins for complex industrial systems

IRT SystemX is supporting industrial companies in defining, prototyping and qualifying innovative digital technological components for the development of a digital twin to be used in complex industrial systems. Together with its partners, the institute is taking up the challenges linked to the massive and secure exploitation of data from industrial systems and extended enterprises to anticipate and improve the global and local management of complex industrial systems.

More details about the program and ongoing projects.

Providing tools and support to make industrial systems resilient

The digital twin should, within a comprehensive framework, enable the implementation of a wide range of capabilities, as described by the Digital Twin Consortium in its periodic table of capabilities (62 capabilities, grouped into six themes: data services, data integration, intelligence, user experience (UX), cross-functional management, and trust). The proposal is to offer a configurable technical platform architecture aligned with the ISO 23247-2 standard, facilitating the integration of digital twin capabilities and inherently adhering to sound software principles: interoperability, extensibility, standardized representation (IEC 63278), and a zero-trust cybersecurity architecture.

The modular platform is organized around four main components: a data manager, a scenario manager, a custom dashboard module (integration of low-code dashboards), and a security manager (implementation of the Zero-Trust Architecture – ZTA concept). These components are essential for ensuring the scalability, reliability, reusability, and maintainability of JNs throughout their lifecycle (including development, deployment, and continuous evolution).

Industrial Digital Twin Platform - JNI

The digital twin platform is a set of integrated services, applications, that are designed to be used to implement industrial digital twins. In summary, the platform is an integrated selection of open source configurable components supporting the Digital Twin Capabilities and aligned with the JNI methodology principles and recommendations.

Mainly, this platform provides 3 configurable services:

  • A Data Manager, to support data service and integration in a standardized way. More...
  • A Scenario Manager, to support intelligence (AI, Simulations, Mathematical Analytics, Command & Control, etc.) configuration and running. More...
  • A Custom Dashboard service, to provide a no-code customizable user experience support (dashboarding, real time monitoring, BI, etc.). More...

Trustworthiness support is provided by the zero-trust architecture (implementing a cyber-by-design approach resulting from an EBIOS-RM risk analysis including Mitre scenario).

Additional capabilities can be plugged to the platform:

Citations

If you use The JNI Data Manager in your research, please cite the following paper:

@inproceedings{belfadel:hal-04612160,
  TITLE = {{Advancing Industrial Digital Twins: Towards An Open Platform Aligned with Standards}},
  AUTHOR = {Belfadel, Abdelhadi and Creff, Stephen and Ben Hamida, Amira},
  URL = {https://hal.science/hal-04612160},
  BOOKTITLE = {{21st International Conference on Product Lifecycle Management}},
  ADDRESS = {Bangkok, Thailand},
  YEAR = {2024},
  MONTH = Jul,
  KEYWORDS = {Digital Twin ; Industry 4.0 ; ISO 23247 ; IEC 63278 ; Asset Administration Shell ; Interoperability},
  HAL_ID = {hal-04612160},
  HAL_VERSION = {v1},
}

If you use The JNI Scenario Manager in your research, please cite the following paper:

@inproceedings{belfadel:hal-05305062,
  TITLE = {{A Digital Twin-Based Approach with a System-Agnostic Integration Method to Enable Intelligence Capabilities and What-If Scenario Orchestration}},
  AUTHOR = {Belfadel, Abdelhadi and Creff, Stephen and Brunet, Jean-Patrick and Sin-Seok, Seo and Doquet, Guillaume and Mantissa, Kevin and Duhil, Christophe and Bouju, Yann and Hafid, Fikri and Ben Hamida, Amira},
  URL = {https://hal.science/hal-05305062},
  BOOKTITLE = {{11th IEEE International Conference on Collaboration and Internet Computing}},
  ADDRESS = {Pittsburg, United States},
  YEAR = {2025},
  MONTH = Nov,
  KEYWORDS = {Digital Twin ; Software platform ; What-if Scenario ; Simulation ; Intelligence management ; Interoperability},
  HAL_ID = {hal-05305062},
  HAL_VERSION = {v1},
}

If you use The Security Module and JNI Zero Trust Architecture in your research, please cite the following paper:

@inproceedings{choubik:hal-05305081,
  TITLE = {{Towards Cyber-by-Design Security for Digital Twins: Implementing Zero Trust Architecture}},
  AUTHOR = {Choubik, Nizar and Belfadel, Abdelhadi and Letailleur, J{\'e}r{\^o}me and Bajan, Pierre-Marie and Creff, Stephen and Ben Hamida, Amira},
  URL = {https://hal.science/hal-05305081},
  BOOKTITLE = {{28th IEEE International Conference on Advanced Communications Technology (ICACT)}},
  ADDRESS = {Pyeongchang, Gangwon-do, South Korea},
  ORGANIZATION = {{Global IT Research Institute (GiRI)}},
  YEAR = {2026},
  MONTH = Feb,
  KEYWORDS = {Zero Trust Architecture ; Cybersecurity ; Industry 4.0 ; Digital twins},
  HAL_ID = {hal-05305081},
  HAL_VERSION = {v1},
}

If you use The XRTwin4Industry module in your research, please cite the following paper:

@article{belfadel:hal-05559333,
  TITLE = {{XRTwin4Industry: Empowering Industrial Digital Twins with XR and Instruction System - A Framework for Standardization and Interoperability}},
  AUTHOR = {Belfadel, Abdelhadi and Lacheroy, Timoth{\'e} and Creff, Stephen and Ben Hamida, Amira and Didier, Jean-Yves},
  URL = {https://univ-evry.hal.science/hal-05559333},
  JOURNAL = {{Future Generation Computer Systems}},
  HAL_LOCAL_REFERENCE = {JNI3},
  PUBLISHER = {{Elsevier}},
  VOLUME = {182},
  PAGES = {108476},
  YEAR = {2026},
  MONTH = Sep,
  DOI = {10.1016/j.future.2026.108476},
  HAL_ID = {hal-05559333},
  HAL_VERSION = {v1},
}

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