Mathematical model for an identifying flaming combustions and accidents by an unmanned aerial vehicle at oil and gas industry facilities

Abstract

This article presents an algorithm and mathematical model for an identifying flaming combustion automated process by an unmanned aerial vehicle. A digital image processed by software filters serves as a resource about an accident and fire at oil and gas industry facilities. The algorithm deals with the aircraft height, the movement speed relative to the observation point, as well as relative to the surface background, the combustion source brightness and the investigated area flicker frequency. The generated mathematical model allows to detect a fire hazard by a drone without operator intervention.

Advances in Research on the Use of Drones in Production and Transportation Engineering in the Hydrocarbons Industry: A Bibliometric Analysis

“…On the European continent, Stupnikov et al [43] mentioned that Russia developed an automatic landing system in 2017, where the use of drones with gas detectors was implemented to monitor leaks in gas pipelines. On the other hand, Vytovtov et al [44] implemented a mathematical model in drones with RGB sensors, to identify accidents associated with the combustion of hydrocarbons. In 2022, gas detector sensors were implemented in multirotor drones in Norway to monitor the in-situ burning of hydrocarbons in response to oil spills [45].…”