Abstract
Fire source localization is of great significance to the firefighting and evacuation. In order to resolve the problem of precise localization of fire source in confined space, a method based on the diffusion law of hot smoke flow in the early stage of fire is proposed in this paper. According to the fire characteristic physical quantity information collected by the sensor array, the relative variability correlation degree is used to obtain the signal time delays between the sensor units. Then, the direction angle of the sensor units and fire source can be determined through the geometric relationship, and the angular localization principle is used to obtain the fire source localization results. Finally, according to the fire source localization results obtained in different sets of time delays, the localization estimation area is selected based on the dynamic clustering, and the center of this area is output as the comprehensive localization result. The testing results show that this method performs well and achieves a high localization accuracy.
Highlights
Building fire is an abnormal event that causes social, economic, and ecological damage [1]
Where, r represents the distance between the fire source and a certain point on the ceiling, S is the varying concentration of fire characteristic physical quantities at this point during the diffusion process, S0 is the initial concentration of fire characteristic physical quantities in confined space, C is the intensity of fire source, b is the Gaussian distribution parameter
It can be seen from equation (1) that when the hot smoke flow spreads on the ceiling, the concentration gradients of fire characteristic physical quantities are distributed in the annular waves
Summary
Building fire is an abnormal event that causes social, economic, and ecological damage [1]. Fire extinguisher system mostly uses fire sprinklers to protect the monitoring area [2] This method can provide an effective protection for the monitoring area, but it cannot focus on the location of the fire source. All these reports did not change the point-bypoint output, which made it difficult to provide effective guidance for fire protection. This paper proposes a fire source localization method using the information of the fire characteristic physical quantities. This method makes full use of various fire information, and dynamically outputs the comprehensive localization results. The testing and analysis prove that the fire source localization method proposed in this paper can effectively select the localization result with an acceptable localization error
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