Towards semi-automatic generation of training scenarios in industrial automated systems

Saher Arnous (1) , Arnaud Lelevé (1) , Khalid Kouiss (2) , Patrick Prévot (1)

1 LIESP - Laboratoire d'Informatique pour l'Entreprise et les Systèmes de Production
2 LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes

In the context of E-Learning, remote hands-on training has become an insisting need as in traditional learning, especially in scientific and technical disciplines. Electronic Laboratories (ELabs) have been growing for the last few years. But till now, exchanging learning scenarios of ELabs is still difficult as existing scenarios (elaborated by means of standard ELearning authoring tools) are restricted to specific apparatuses, which prevents instructors from reusing or exchanging scenarios. Actually, LIESP team started in 2002 a research aiming to provide a framework which helps towards exchanging ELab learning scenarios when they fit to similar apparatuses (same functions, maybe not the same hardware). Meanwhile, LIMOS team focused on a design process to automate PLC code generation to help to design and generate programs for industrial discrete systems. This paper presents a project of merging these works to help ELab designers to design and integrate apparatuses into ELab frameworks when these apparatuses are discrete systems.

Mots clés: Electronic Laboratories; Learning Objects

Domaines: Autre [cs.OH]

Saher Arnous, Arnaud Lelevé, Khalid Kouiss, Patrick Prévot. Towards semi-automatic generation of training scenarios in industrial automated systems. International Conference on Management of Emergent Digital EcoSystems, Oct 2009, Lyon, France. pp.74, ⟨10.1145/1643823.1643914⟩. ⟨hal-00432552⟩