PostDoc Project
Title:
5G based Digital Twin for Industrial Process Control and Supervision
Dates:
2024/09/01 - 2025/08/30
Supervisor(s):
Description:
This Post doctorate research work will be carried out as part of a 3-year Franco-German ministerial project aimed at supporting the development of
innovative solutions for 5G private networks in industry.
The common policy objective of France and Germany is to foster European sovereignty in private 5G networks to increase productivity and
contribute to the implementation and use of flexible and sustainable solutions in industry. The project partners are CRAN with major French railway
company, Major TelCo company and German Research Center.
The digital transformation of the industry can rely on digital twins to improve production costs through optimized supervision and quality control
processes. Technical centers in the railways industry are truly representative as overseeing both standard maintenance and full renewal of trains at
their half-life, so they are under huge constraints in terms of delivery pace, quality control, cost control and risk assessment.
In this context, the leveraging of digital twins specifically depends on three characteristics: (1) the network connectivity of the process physical assets
with a high quality of experience (QoE) without loss of connectivity, especially in mobility, (i.e. during movement of operators or M2M terminals),
(2) enhancement of asset visibility and controllability at shop floor level in near real time thanks to high performance 5G networking and (3) geo-
localization by means of accurate position monitoring of assets indoor and outdoor. The combination of these three characteristics is a condition for
the supervision and automation of production processes led at the scale of maintenance and production facility, as it is for risk management when
tasks involving moving tools and train parts are under consideration.
The emerging 5G network technology will be considered and exploited in the project to study and demonstrate the opportunity to use a single
telecommunications technology to address all industrial needs of French railway company use-cases with a better satisfaction level. The project
objective is to define optimized scenarios for 5G networked application and to demonstrate their potential for supervision, teleoperation and quality
control management of train maintenance processes and workers security, and to analyze the potential extension to any industrial context.
One of the project objectives is to transform relevant SNCF physical assets (wagon movers, spare parts, tools, ...) that are parts of the industrial
process in a technicenter into 5G enabled smart connected devices, with high level services, high visibility and responsiveness anywhere in the
process and under low energy consumption constraint, embedded data processing models, and sensor fusion capabilities. The smart 5G companion
sticked to a physical asset connected device is intended to fulfill the railway company expectations in assets supervision and management of the
quality of operations carried out on the industrial lines of the railway company technicentre. At the same time, the approach of a 5G
Asset companion will address some of the main challenging issues of todays' train maintenance processes by means of product servitization, product
monitoring, tracing and tracking.
The post doctorate research work will be conducted mainly at CRAN laboratory and for meetings and implementation test at SNCF technicenter
facility. An initial Digital Twin architecture has been developed during previous project work step based on knowledge-graph model and a 5G-IP
networking architecture. The R&D work will address mainly the further development and improvement of the digital twin architecture based on data
and services management from the 5G companion associated to physical assets by responding to these objectives:
i) To specify advanced services for 5G SNCF applications and the most significant IA methods for optimizing the system and detecting/recovering
dysfunctioning
ii) To develop a Digital Twin architecture based on data collected from 5G autonomous IoT device associated to SNCF industrial assets.
iii) To implement and validate the research work in the railway company technicentre
iv) To produce scientific publication related to the research topic
The researcher will be required to travel to France and Germany for research meetings with partners, and to study and to implement the solution in
the French railway company technicentre.
The post doctorate student will join a team of academic researchers and industrial engineers and must have good knowledge and experience in SoC
system, C or Python programming, networking, cyber- physical systems architectures.
innovative solutions for 5G private networks in industry.
The common policy objective of France and Germany is to foster European sovereignty in private 5G networks to increase productivity and
contribute to the implementation and use of flexible and sustainable solutions in industry. The project partners are CRAN with major French railway
company, Major TelCo company and German Research Center.
The digital transformation of the industry can rely on digital twins to improve production costs through optimized supervision and quality control
processes. Technical centers in the railways industry are truly representative as overseeing both standard maintenance and full renewal of trains at
their half-life, so they are under huge constraints in terms of delivery pace, quality control, cost control and risk assessment.
In this context, the leveraging of digital twins specifically depends on three characteristics: (1) the network connectivity of the process physical assets
with a high quality of experience (QoE) without loss of connectivity, especially in mobility, (i.e. during movement of operators or M2M terminals),
(2) enhancement of asset visibility and controllability at shop floor level in near real time thanks to high performance 5G networking and (3) geo-
localization by means of accurate position monitoring of assets indoor and outdoor. The combination of these three characteristics is a condition for
the supervision and automation of production processes led at the scale of maintenance and production facility, as it is for risk management when
tasks involving moving tools and train parts are under consideration.
The emerging 5G network technology will be considered and exploited in the project to study and demonstrate the opportunity to use a single
telecommunications technology to address all industrial needs of French railway company use-cases with a better satisfaction level. The project
objective is to define optimized scenarios for 5G networked application and to demonstrate their potential for supervision, teleoperation and quality
control management of train maintenance processes and workers security, and to analyze the potential extension to any industrial context.
One of the project objectives is to transform relevant SNCF physical assets (wagon movers, spare parts, tools, ...) that are parts of the industrial
process in a technicenter into 5G enabled smart connected devices, with high level services, high visibility and responsiveness anywhere in the
process and under low energy consumption constraint, embedded data processing models, and sensor fusion capabilities. The smart 5G companion
sticked to a physical asset connected device is intended to fulfill the railway company expectations in assets supervision and management of the
quality of operations carried out on the industrial lines of the railway company technicentre. At the same time, the approach of a 5G
Asset companion will address some of the main challenging issues of todays' train maintenance processes by means of product servitization, product
monitoring, tracing and tracking.
The post doctorate research work will be conducted mainly at CRAN laboratory and for meetings and implementation test at SNCF technicenter
facility. An initial Digital Twin architecture has been developed during previous project work step based on knowledge-graph model and a 5G-IP
networking architecture. The R&D work will address mainly the further development and improvement of the digital twin architecture based on data
and services management from the 5G companion associated to physical assets by responding to these objectives:
i) To specify advanced services for 5G SNCF applications and the most significant IA methods for optimizing the system and detecting/recovering
dysfunctioning
ii) To develop a Digital Twin architecture based on data collected from 5G autonomous IoT device associated to SNCF industrial assets.
iii) To implement and validate the research work in the railway company technicentre
iv) To produce scientific publication related to the research topic
The researcher will be required to travel to France and Germany for research meetings with partners, and to study and to implement the solution in
the French railway company technicentre.
The post doctorate student will join a team of academic researchers and industrial engineers and must have good knowledge and experience in SoC
system, C or Python programming, networking, cyber- physical systems architectures.
Conditions:
DURATION: Septembre 2024- Septembre 2025 (can be extended by 6 months)
PLACE of WORK : CRAN - Faculté des Sciences et technologies, Vandoeuvre-lès-Nancy, 54500
https://maps.app.goo.gl/cN7nLhCHpq7n54x48
PROFILE : System Modeling, Digital Twin, basic software development javascript, MQTT, SQL, IP networking,
PLACE of WORK : CRAN - Faculté des Sciences et technologies, Vandoeuvre-lès-Nancy, 54500
https://maps.app.goo.gl/cN7nLhCHpq7n54x48
PROFILE : System Modeling, Digital Twin, basic software development javascript, MQTT, SQL, IP networking,
Department(s):
| Modeling and Control of Industrial Systems |
Funds:
BPI France
Publications: