Enhancing Industrial Iot Smart Object Servitization With 5G Network Capabilities

Universities and Institutes of France

France

September 29, 2022

Description

  • Organisation/Company: CRAN, UMR 7039 CNRS, Université de Lorraine
  • Research Field: Engineering › Communication engineering Engineering › Electronic engineering
  • Researcher Profile: First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4)
  • Application Deadline: 29/09/2022 00:00 - Europe/Brussels
  • Location: France › Nancy
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Offer Starting Date: 01/11/2022
  • This thesis 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 (preparation of trains between two travels) 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 two connectivity 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), and (2) geo-localization by means of accurate position monitoring of assets indoor and outdoor. The combination of these two characteristics is a condition for the supervision and automation of production processes led at the scale of a whole center (around 10 to 30 Ha surface in indoor and/or outdoor environments), 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 companyuse-cases with a better satisfaction level. The project objective is to define optimized scenarios for 5G local network application and to demonstrate their potential for supervision, teleoperation and quality control management of train maintenance processes and analyzed the potential extension to any industrial context. Geo-localization works will be conducted by a German partner.

    The aim of this thesis is to contribute to the prototyping of the use-case of French railway company train maintenance processes using 5G and to demonstrate the potential of 5G technology to transform physical asset (wagon movers, spare parts boxes, ...) into smart connected devices with associated services. At the same time, address some of the main challenging issues of todays' train maintenance processes.

    The thesis work conducted at CRAN laboratory will take active part in the project with the objectives to :

    i) define jointly with the partners the relevant 5G application uses-cases in the railway company technicenter according to an appropriate methodology

    ii) to specify, to develop a prototype of a 5G autonomous open IoT device with integrated decision-making and data processing models, and sensor fusion capabilities, that will be able to transform a physical asset into a 5G enabled smart connected device, with high level services and energy constraint. The smart 5G 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. The prototype will be based on an available open system (Raspberry SoC and 5G modem). Work will be conducted in collaboration with a french company as subcontracting partner under license agreement.

    iii) to implement and validate the research work in the railway company technicentre with the help of project's partners.

    The doctoral student will be required to travel to France and Germany for research meetings with partners, and to study and to implement and test the solution in the French railway company technicentre.

    The doctoral student will join a team of academic researchers and industrial engineers and must have good knowledge and experience in HW/SW and SoC system (e.g., Arduino, Raspberry or ESP32), embedded programming (C, Python, ...), GSM or industrial networks, cyber-physical systems (CPS).

    Funding category: Autre financement public

    BPI France

    PHD title: Doctorat Automatique, Traitement du Signal et des Images, Génie Informatique

    PHD Country: France

    Offer Requirements Specific Requirements

    The candidate should have a master's degree with speciality in electronics or embedded computing or industrial telecom networks, industrial computer sciences

    The candidatewill join a team of international academic researchers and industrial engineers and must have a good level in English (Talk/Write and a good knowledge and experience in HW/SW study/design, SoC system (e.g., Arduino, Raspberry or ESP32), embedded programming (C, Python, ...), GSM or industrial networks, cyber-physical systems (CPS).

    Contact Information
  • Organisation/Company: CRAN, UMR 7039 CNRS, Université de Lorraine
  • Organisation Type: Large Company
  • Website: https:// www. cran.univ-lorraine.fr
  • Country: France