Investigation of the effect of carbon monoxide on people in case of fire in a building

Dubinin, Dmytro; Cherkashyn, Oleksandr; Maksymov, Andriy; Beliuchenko, Dmytro; Hovalenkov, Serhii; Shevchenko, S. I.; Avetisyan, Vadim

doi:10.31306/s.62.4.2

Cited by 20 publications

(16 citation statements)

References 20 publications

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“…TM was alcohol (burning rate 33000 kg/m 2 s, lower heat of combustion 13400 kJ/kg), paper (burning rate 8000 kg/m 2 s, lower heat of combustion 27200 kJ/kg), wood (burning rate 14000 kg/m 2 s, lower heat of combustion 13800 kJ/kg) and textiles (staple fiber) (burning rate 6.7 kg m -2 s -1 10 3 , lower heat of combustion 13800 kJ/kg). The CO concentration, smoke density, and temperature of HS were measured in LC [46]. Temperature measurements were made by D TPT-4 (Ukraine) [48], smoke density by D IPD-3.2 (Ukraine) [48], and CO concentrations by D Discovery (Switzerland) [49].…”

Section: The Study Materialsmentioning

confidence: 99%

Method for early ignition detection based on the sampling dispersion of dangerous parameter

Pospelov,

Rybka,

Krainiukov

et al. 2024

EEJET

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The object of the study is the selective dispersion of dangerous parameters of the gas environment during material fires. The practical importance of research consists in using the difference of sample dispersions of dangerous parameters of the gas environment on the intervals of absence and presence of ignition of materials for detection of ignition. The theoretical substantiation of the method of detecting fires in premises based on sample dispersions of current measurements of an arbitrary dangerous parameter of the gas environment, corresponding to the general populations of reliable absence and presence of fire, has been carried out. The method, at a given level of significance, determines the unbiased uniformly most powerful fire detection rule. This makes it possible to determine how much differences in sample variances are significant with a given level of significance and are caused by ignition or are random factors. Laboratory experiments were conducted to verify the proposed method. It was established that the influence of ignition on the value of the difference in the sample dispersion at the corresponding intervals of monitoring the carbon monoxide concentration, smoke density, and temperature of the gaseous environment of the laboratory chamber is different and depends on the type of ignition material. At the same time, the minimum difference of the sample dispersions is characteristic for observing the smoke density for all the studied materials. However, early detection of ignition of alcohol, paper, wood, and textiles when observing the smoke density is carried out when the threshold is exceeded by 9.01, 5.31, 2.13 and 2.55 times, respectively. It is shown that the method of early detection of fires, which is based on the detection of significant differences in sample dispersions of data from the relevant general populations

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Section: The Study Materialsmentioning

confidence: 99%

Method for early ignition detection based on the sampling dispersion of dangerous parameter

Pospelov,

Rybka,

Krainiukov

et al. 2024

EEJET

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“…Alcohol, paper, wood, and textiles were chosen as TMs. The studied OPs in the chamber were temperature, smoke density, and concentration of CO GE [33]. GE temperature was measured with a TPT-4 sensor (Ukraine) [34], smoke density with an IPD-3.2 sensor (Ukraine) [35], and CO concentration with a Discovery sensor (Switzerland) [36].…”

Section: Materials Of the Studymentioning

confidence: 99%

Features of the coefficient of variation of parameters of the gas environment in fire in the premises

Pospelov,

Bezuhla,

Kozar

et al. 2023

EEJET

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The object of the study is the selective coefficient of variation of dangerous parameters of the gas environment during the ignition of materials. The measure of the sample coefficient of variation of an arbitrary hazardous parameter of the gas environment observed at an arbitrary time interval is substantiated. The representativeness error of the measure of the sampling coefficient of variation, which depends on the value of the measure and the sample size, was determined. The measure allows you to numerically determine its value for an arbitrary observation interval. The difference in the measure at the intervals corresponding to the reliable absence and occurrence of ignition allows to detect the occurrence of ignition of the material. According to the results of laboratory studies, the measures of the sample coefficient of variation for carbon monoxide concentration, smoke density, and temperature of the gas medium in the laboratory chamber at intervals of absence and appearance of ignition of alcohol, paper, wood, and textiles were determined. It was established that the dangerous parameters of the gas environment at the intervals of absence and presence of ignition are characterized by different values of the increase in the measure of the sample coefficient of variation. For example, it is determined that the ignition of alcohol causes the maximum increase in the measure for carbon monoxide concentration from 0.135 to 0.441, for smoke density from 0.629 to 0.805, and for temperature from 0.001 to 0.115. When paper catches fire, the measure for carbon monoxide concentration and temperature increases from 0.0026 to 0.140 and from 0.0019 to 0.05, respectively. When burning wood, the measure for carbon monoxide concentration and temperature increases from 0.0072 to 0.177 and from 0.0067 to 0.016, respectively. The obtained results, provided that the hazardous parameters of the gas environment in the premises are measured and the sample coefficient of variation is calculated in practice, make it possible to use them in the creation of early fire detection systems

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“…The identification of the nonlinear dependence P k = f (I, U, S, V c ) from the experimental data by traditional methods turns out to be a difficult task and it is associated with the significant difficulty of collecting the sufficient data as well as computational difficulties [17].…”

Section: Theoretical Foundations For Diagnosing the Hybrid Powertrainmentioning

confidence: 99%

“…The applied methods of analysis and synthesis of the control system do not pay enough attention to the multicriterion of the arising optimization problems of diagnostics. These circumstances do not allow for fully disclosing the potential of hybrid vehicles [1,2,5,17].…”

Section: Introductionmentioning

confidence: 99%

Development of a Method for Evaluating the Technical Condition of a Car’s Hybrid Powertrain

et al. 2021

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The article presents the results of a study performed and substantiated based on the principles of a new method of diagnostics of technical conditions of a hybrid powertrain regardless of the structural diagram and design features of a hybrid vehicle. The presented new technology of the diagnostics of hybrid powertrains allows an objective complex assessment of their technical condition by diagnostic parameters in contrast to existing diagnostic methods. In the proposed method, a mechanism for the general standardization of diagnostic parameters has been developed as well as for determining the numerical values of the parameters of the powertrain. The control subset was used to control the learning error. As a result of debugging the system, the scatter of experimental and calculated points has decreased, which confirms the quality of debugging the tested fuzzy model. As a result of training the artificial neural network, the standard deviation of the error in the control sample was 0.012·Pk. A symmetry method of diagnostics of the technical state of a hybrid propulsion system was developed based on the concept of a neural network together with a neuro-fuzzy control with an adaptive criteria based on the method of training a neural network with reinforcement. The components of the vector functional include the criteria for control accuracy, the use of traction battery energy, and the degree of toxicity of exhaust gases. It is proposed to use the principle of symmetry of the guaranteed result and the linear inversion of the vector criterion into a supercriterion to determine the technical state of a hybrid powertrain on a set of Pareto-optimal controls under unequal conditions of optimality.

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Investigation of the effect of carbon monoxide on people in case of fire in a building

Cited by 20 publications

References 20 publications

Method for early ignition detection based on the sampling dispersion of dangerous parameter

Method for early ignition detection based on the sampling dispersion of dangerous parameter

Features of the coefficient of variation of parameters of the gas environment in fire in the premises

Development of a Method for Evaluating the Technical Condition of a Car’s Hybrid Powertrain

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