IDENTIFYING THE FEATURES IN HISTOGRAMS OF INCREMENTS IN HAZARDOUS PARAMETERS OF THE GAS ENVIRONMENT AT THE IGNITION OF MATERIALS IN UNHERMETIC PREMISES

Abstract

The object of this study is the histograms of increments in hazard- ous parameters of the gas environ- ment in a leaky room in the absence and presence of fires of materials. The task of early detection of fires of materials in rooms was addressed. A methodology for determining the histograms of increments of arbi- trary hazardous parameters based on samples of arbitrary size from controlled parameters was substan- tiated. A laboratory experiment was performed to identify the fea- tures of the histograms of incre- ments of carbon monoxide concen- tration, specific optical density of smoke and temperature of the gas environment at intervals of reliable absence and occurrence of fires of alcohol, paper, wood, and textiles. The results indicate that hazard- ous parameters change over time non-stationarily and are of a com- plex nature. It was found that for the concentration of carbon mon- oxide, the specific optical density of smoke and the temperature of the gas medium in the interval of alco- hol ignition, the number of modes of the histograms of increments is 9, 8, and 4, and the spread is 0–(+0.3), –0.07–(+0.09), and 0–(+0.32), respectively. When paper ignites, the histograms of increments of hazardous parameters have 10, 3, and 4 modes and the spread of increments is –0.06–(+0.21), ±(0.02), and –0.16–(+0.32), respec- tively. When wood ignites, the shape of the histogram of increments for the concentration of carbon mon- oxide is characterized by 4 modes and the spread is 0–(+0.09). The shape of the histograms of incre- ments of the specific optical density of smoke and the temperature of the gas medium during the ignition of wood does not change significantly. The shape of the histogram of the increments of the carbon monoxide concentration during textile igni- tion is characterized by 3 modes and a spread of ±0.03, and the tempera- ture – by two modes and a spread of 0–(+0.16). These features of the histograms could be used in practice as a sign of early detection of fires for their prompt extinguishing and prevention of fire evolution