Metrological Analysis of Precision of the System of Delivering a Water Capsule for Explosive Production of Water Aerosol

• Autorzy: Śmigielski G. , Toczek W. , Dygdała R. , Stefański K.

Identyfikatory

DOI

10.1515/mms-2016-0006

• Języki publikacji: EN

Abstrakty

EN

In this paper precision of the system controlling delivery by a helicopter of a water capsule designed for extinguishing large scale fires is analysed. The analysis was performed using a numerical method of distribution propagation (the Monte Carlo method) supplemented with results of application of the uncertainty propagation method. In addition, the optimum conditions for the airdrop are determined to ensure achieving the maximum area covered by the water capsule with simultaneous preserving the precision level necessary for efficient fire extinguishing.

Słowa kluczowe

EN

water capsule airdrop control system; uncertainty analysis; GUM uncertainty framework; propagation of distributions

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2016
• Tom: Vol. 23, nr 1
• Strony: 47--58
• Opis fizyczny: Bibliogr. 21 poz., rys., tab., wykr., wzory

Twórcy

autor

Śmigielski G.

• Kazimierz Wielki University, Institute of Mechanics and Applying Informatics, M. Kopernika 1, 85-074 Bydgoszcz, Poland

autor

Toczek W.

• Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Dygdała R.

• Paweł Włodkowic University College in Plock, Faculty of National Security, Al. Kilińskiego 12, 09-402 Płock, Poland

autor

Stefański K.

• Nicolaus Copernicus University, Collegium Medicum, Jagiellońska 13-15, 85-067 Bydgoszcz, Poland

Bibliografia

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• [17] Sienkowski, S. (2013). Estimation of random variable distribution parameters by the Monte Carlo method. Metrol. Meas. Syst., 20(2), 249−262.
• [18] Cox, M.G., Siebert, B.R.L. (2006). The use of a Monte Carlo method for evaluating uncertainty and expanded uncertainty. Metrologia, 43, 178−188.
• [19] Gutiérrez, R., Ramírez, M., Olmeda, E., Díaz, V. (2015). An uncertainty model of approximating the analytical solution to the real case in the field of stress prediction. Metrol. Meas. Syst., 22(3), 429−442.
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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.