Methodology of Automated Monitoring of Linear Objects of Oil and Gas Complex With a Free Aircraft

Vytovtov, A. V.; Калач, А. В.; Trofimets, V. Ya.

doi:10.18322/pvb.2018.27.04.50-57

PVB

2018

DOI: 10.18322/pvb.2018.27.04.50-57

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Methodology of Automated Monitoring of Linear Objects of Oil and Gas Complex With a Free Aircraft

A. V. Vytovtov¹,

А. В. Калач²,

V. Ya. Trofimets³

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Cited by 3 publications

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Development of information support of the decision-making management system for emergency prevention based on distance video systems

Koshel,

Kuprienko,

Fedyanin

et al. 2024

E3S Web Conf.

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The possibilities of identifying combustion from the mobile observation point located on an unmanned aircraft are considered. A qualifying sign of frequency fluctuations in the region of combustion was derived and presented in the form of a program filter of vyvyl-analysis in the temporary area. The frequency characteristics of the detectors and experimental data used in fire detectors were compared. A stable correlation was obtained confirming the conformity of the hypothesis existing tested data. It is proposed as a sign of defining burning to use the frequency of the color of the color of the pixels from the gama of fire to the color of the underlying surface. It is experimentally determined that combustion corresponds to the range from 12 to 30 Hz. The work takes into account the dynamic location of the observation point on an unmanned aircraft. The boundary conditions of the operation of the aviation system allowing to obtain relevant data for analysis are described.

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Development of information support of the decision-making management system for emergency prevention based on distance video systems

Koshel,

Kuprienko,

Fedyanin

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

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

Vytovtov

Korolev

Barankevich

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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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.

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Mathematical model of fire load type identification by electromagnetic radiation of the optical range using an unmanned aerial vehicle at oil and gas industry facilities

Vytovtov

Korolev

Odnolko

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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Providing comprehensive security of the pipeline is the main task of monitoring linear facilities in the oil and gas industry. Proposed mathematical model is a part of an automated identification algorithm to determine the fire load type. The study identified four groups of combustible substances characteristic of oil and gas facilities: oil, refined products, liquefied petroleum gas and vegetation. There was a study of electromagnetic radiation of the optical range, recorded by an UAV’S digital camera for each type of substance. An algorithm for comparing the area color with a standard was proposed and implemented. The obtained mathematical correspondence allows identifying the fire color and the fire load type in conditions of different luminosity. The information on the flaming substance allows authorized rescue units to make operational decisions about the fire extinguishing method.

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Methodology of Automated Monitoring of Linear Objects of Oil and Gas Complex With a Free Aircraft

Cited by 3 publications

References 1 publication

Development of information support of the decision-making management system for emergency prevention based on distance video systems

Development of information support of the decision-making management system for emergency prevention based on distance video systems

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

Mathematical model of fire load type identification by electromagnetic radiation of the optical range using an unmanned aerial vehicle at oil and gas industry facilities

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