Simulation of UAS Operator's Decision-Making under Different Weather Conditions

Abstract

Nowadays Unmanned aircraft systems (UAS) are used for a range of industrial applications. The peculiarities of tasks require understanding and knowledge of weather-related hazards that restrict or even make impossible the UAS flight and mission realization. Moreover, the modern UAS can be used as mobile sensors to obtain information about the current state of the atmosphere and its parameters for further implementation in IoT technologies including industrial IoT systems. At the same time, there is rather a lack of systems and programs for UAS meteorological support. In this paper, we develop the algorithm and software that can be used as an application for UAS operators. The decision-making algorithm considers the type of UAS (characteristic), mission and area of planned flight, and current weather situation. The developed software is aimed not only to inform UAS operators about the current meteorological state in the intended area of flight but also to give advice and help to take the right decision on the possibility to perform a particular task in a particular area of flight on the base of a risk-oriented approach.