Influence of measurement setup on precision of operational evaluation of fire parameters in mines

The study aims to determine the influence of a measurement setup on precision of the neural network evaluation of the distance to fire and the fire-induced heat build-up in an underground opening. The data set was generated from the multi-parametric modeling in software system Fire Dynamics Simulator with variation of the ventilation airflow velocity, peak rate of heat generation and the peak rate time. The input data of the neural network model were the time windows of temperatures and carbon oxide concentrations with a duration of 30 s, as well as the ventilation airflow velocities. Seven measurement setups were constructed: one- and two-point schemes using only temperature or only CO concentrations, as well as one-, two- and three-point schemes using both channels. The results were estimated by five independent iterations of a computational experiment. It is found that the joint use of temperature and CO concentration ensures the highest error reduction. Transition from a one-point to a two-point joint setup additionally decreased the average absolute error of the distance to the fire seat by 19.6% and the current heat generation rate by 23.0%. Meanwhile, inclusion of the third joint point produced much lesser additional effect. The character of the difference between the setups kept on in the analysis of the 90th percentile of absolute error. In the framework of the adopted problem formulation, the two-point joint setup can be assumed as a rationally sufficient layout amongst the tested measurement setups. 

Fedotkin I. O. Influence of measurement setup on precision of operational evaluation of fire parameters in mines. MIAB. Mining Inf. Anal. Bull. 2026;(10-1):152-161. [In Russ]. DOI: 10.25018/0236_1493_2026_101_0_152.

I.O. Fedotkin, Graduate Student, University of Science and Technology MISIS, 119049, Moscow, Russia, e-mail: fedotkin.iliya@gmail.com, ORCID ID: 0009-0004-2399-480X.

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