Geração de cenários de treinamento a partir de log de incidentes em supervisórios e relatórios RDFH.

Abstract

In simulators for operator training, generating a training scenario demands a lot of time and creativity. In the SIMULOP software environment, widely used in the Brazilian electric sector, the interface with the tutor, for scenario building, is not ergonomic, demanding high efforts, time and creativity, in their description. The development process of these scenarios is general, not accounting for the individual training needs of operators. In this project, we propose the automatic generation of training scenarios, for the SIMULOP environment, based on the analysis of log files of the operation, during which failures happened in the system, as well as the descriptive report of human error – RDFH. This is done in order to simulate real environment occurrences aiming to avoid the reoccurrence failures of human origin. This project was developed based on a tool, built to support the tutor when interactively building Scenarios, which was developed during an R & D project with the company CHESF at LIHM at UFCG. It combines the information from the analysis of RDFH reports with that from incident logs, recovered from the supervisory system SAGE, also adopted by the electricity sector. This project is based on two ontologies which were built to describe a training scenario. From the ontologies, it is produced a plain text file which can be run by the OTS in the SAGE / SIMULOP system. Thus, based on these two ontologies it became possible to generate training scenarios from real events, which can be stored in a training scenario database, which allows for the classification of events and scenarios according to a typology of the human error.