An Ontology-Based Approach For Risk Evaluation In Human-Machine Interaction

The Occupational Safety and Health areas have been changing to address the human-machine interaction in collaborative work-places. As regard, the Preliminary Hazard Analysis sub-area must identify, monitor, and evaluate new risks which emerge from such interaction. Although the classical HAZOP method cover this matter, there is a lot of ambiguity in the hazardous scenario descriptions. Thus, cyber-physical systems come into play to help using computer technologies including ontologies, but the approaches do not have an expressive ontology capable of evaluating the risks covering the hazardous and human-machine interaction contexts. Therefore, this work aims to propose an application ontology to evaluate risk situations in a collaborative environment capable of describing all the entities and their relationships. In addition, to ensure its feasibility, an application using the Apache Jena framework reads data from a simulated scenario – developed using Coppelia Simulator – which represents a collaborative situation where a possible hazardous situation can occur.