A generic unifying ontology for civil unmanned aerial vehicle missions

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Description/Abstract

The aerospace industry struggles to account appropriately for the operational environment of a product during the early design phase. This can lead to suboptimal designs that can compromise the commercial success of a product. An agent-based operational simulation is shown to reduce the knowledge gap and increase understanding of aerospace products interacting with their operational environments early on. The simulation aims to be a generic tool to model any mission scenario for Unmanned Aerial Vehicles. This paper suggests a unifying ontology aiming to find a small set of parameters that map to almost any conceivable mission. This is achieved by combining Geographical Information Systems (GIS) maps with an agent-based framework. Database structure and integration into the operational simulation is demonstrated by introducing a generic mission case study.