Profile: R&D in industry 4.0
From industrial and embedded networks...
In the framework of the master internship, I have been initiated in scientific research by joining the Research Centre for Automatic control in Nancy (CRAN). My first researches have focused on the performance analysis of real-time protocols, in particular Ethernet-based solutions. This work was conducted in collaboration with a compagny which manufactures wire and tube bending machines. It constitutes my first R&D experience in embedded networks (motion control).
After that, my PhD research focus on the use of switched Ethernet embedded in the future space launchers. A partnership with the national french space agency (CNES) allowed to define the specific requirements of the embedded communication system. This work dealt with time performance evaluation, the network availability and the control state observability from the network. The objective is to highligth the use of standard Ethernet based on components-on-the-shelf can satisfy (space) requirements.
As in many R&D project, it is essential to increase the technology readiness level for integrating a novel technology in a final system. For this purpose, I develop an experimental test bench : from the study (plane, quotation, ...) to its installation (configuration, tests, ...). This work was conducted after my PhD, as contract researcher in CRAN.
To the industry 4.0
Currently, as research assistant in University of Luxembourg, and more precisely in the Interdisciplinary Centre for Security, Reliability and Trust (SnT), I'm mainly working on heterogenous data communication challenges in the Internet of Things (IoT). The implementation of messaging services and high-level data formats is therefore needed.
In the framework of the H2020 european project bIoTope (Building an IoT OPen innovation Ecosystem for connected smart objects), we have taken an interest in the standards promoted by The Open Group: Open Messaging Interface (O-MI) and Open Data Format (O-DF), which enable the publication, consumption and composition of heterogeneous information sources in an opened and standardised manner. Several proofs-of-concept (from the data publication to the data consumption by different applications) have already been developed. In addition, we are also interested in the establishment of a data market-place (accessible online: IoTBnB) to put data sellers and buyers into relation (with data monetisation).
In the framework of a partnership with Cebi Luxembourg S.A., we focus on the use of standards suitable for the Industry, such as OPC-UA or MQTT, to systematically collect and expose production data from the various machines. Those data will be analysed by Machine Learning algorithms so as to improve the Overall Equipment Effectiveness, that is a performance metric of the production. In a long-term vision, the objective is to make the factory autonomous. However, several years will be needed to upgrade all the machines, in particular at the group scale.
In the press: SnT: , Paperjam (in french): and Chronicle :
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