Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LIMOS / Mines Saint-Étienne
Durée : 6 mois
Contact : victor.charpenay@emse.fr
Date limite de publication : 2022-04-01

Contexte :
With the rise of an Industrial Internet of Things (IIoT) and the increased connectivity of industrial equipment, of sensors and of actuators, industrial control now is at the intersection between information technologies (IT) and operational technologies (OT). Industrial processes can be controlled with agility and efficiency by remote software components. The objective of SIRAM (Integrated Systems for Mobile Assistant Robots), a regional project involving Mecaconcept, Creative’IT and Mines Saint-Etienne, is to develop an interoperable, adaptive information system that integrates mobile assistant robots (RAM) in the Industry 4.0 environment of the IT’m Factory. The prototype developed in SIRAM aims at showing how a control system can automatically adapt to contextual evolution and deal with heterogeneous objects on the same factory floor, including production equipment equipped with a pre-programmed industrial controller, low-power connected devices mounted on that equipment and industrial robotic arms.

Sujet :
The objective of the internship is to extend an existing Knowledge Graph (KG) describing the IT’m Factory, such that a remote agent-based control system can observe the real-time state of the factory and act on it in a unified manner. KGs are particular kinds of databases designed to capture knowledge from various sources, represented as a set of interlinked entities.

Profil du candidat :
– good programming level in an object-oriented programming language (preferred: Java)
– basics of RDF and Semantic Web technologies
– basics of logical inference
– (optional) basics of logic programming

Formation et compétences requises :
2nd year master program in Computer Science or Data Science

Adresse d’emploi :
Saint-Étienne (Espace Fauriel)

Document attaché : 202201061152_WS_Industrial Control with Knowledge Graphs.pdf