Virtual industrial training: Joining innovative interfaces with plant modeling

Training in industry is one of the most critical and expensive tasks to be faced by the management. Furthermore, in some cases, it is dangerous or even impossible to directly train operators on the real plants where security and safety problems may arise, making it very difficult to start training programs at low cost. For these reasons, the field of training in industry is rapidly developing using software or hardware solutions coming mainly from the following research areas: i) Human-Computer interaction, i.e., the use of complex and interactive human-machine interfaces, ii) plant simulators, i.e., software systems which are delivered with the plant itself to test and to learn complex tasks and processes, iii) Intelligent Training Systems, i.e., the availability of intelligent and personalized training systems where a virtual tutor guides users through a personalized learning path. In this paper we present the overall architecture of a system for industrial training, embedded into an Intelligent Tutoring System that can provide more effective and personalized training and learning in a context where working directly on real plants can be difficult and very expensive. In particular we present a simulator for training operators in using power plants, based on a multimedia and on interactive interface. This system is particularly suitable to be used for training in industrial electric and oil plants. Moreover, the system allows operators for collaborative problem solving. Currently the system is under delivery to an Italian Electric industry.

[1]  Albert J. Rosa,et al.  The Role of the Laboratory in Undergraduate Engineering Education , 2005 .

[2]  Anna Riccioni Design, implementation and evaluation of a virtual laboratory for Computer Engineering Education , 2010 .

[3]  K. D. Srivastava,et al.  Dynamic islanding of critical infrastructures: a suitable strategy to survive and mitigate extreme events , 2007 .

[4]  D. J. Magin,et al.  Computer simulation of laboratory experiments: an unrealized potential , 1990 .

[5]  Etienne Wenger,et al.  Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge , 1987 .

[6]  Peter Brusilovsky,et al.  Adaptive and Intelligent Web-based Educational Systems , 2003, Int. J. Artif. Intell. Educ..

[7]  Stefano Panzieri,et al.  Modelling critical infrastructure via a mixed holistic reductionistic approach , 2009, Int. J. Crit. Infrastructures.

[8]  Julita Vassileva,et al.  Course sequencing techniques for large-scale web-based education , 2003 .

[9]  Vincent N. Lunetta,et al.  The Laboratory in Science Education: Foundations for the Twenty-First Century , 2004 .

[10]  Peter Brusilovsky,et al.  Adaptive Hypermedia: From Intelligent Tutoring Systems to Web-Based Education , 2000, Intelligent Tutoring Systems.

[11]  Eileen Scanlon,et al.  Contemporary approaches to learning science: technologically-mediated practical work , 2002 .

[12]  Maged Dessouky,et al.  A methodology for developing a web-based factory simulator for manufacturing education , 2001 .

[13]  Carla Limongelli,et al.  Adaptive Learning with the LS-Plan System: A Field Evaluation , 2009, IEEE Transactions on Learning Technologies.

[14]  Xiumin Fan,et al.  An Integrated Simulation Method to Support Virtual Factory Engineering , 2002 .

[15]  Peter Brusilovsky Course Sequencing for Static Courses? Applying ITS Techniques in Large-Scale Web-Based Education , 2000, Intelligent Tutoring Systems.

[16]  Denis Helic,et al.  Integrating e-Learning into work processes in industrial settings: A case study , 2010, 2010 9th International Conference on Information Technology Based Higher Education and Training (ITHET).