Large-scale building fire source identification and positioning method and system

Abstract

The invention discloses a large-scale building fire source identification and positioning method and a system. The method comprises the following steps: firstly, double determining whether a fire flame exists in a large interior space image captured by the binocular camera using a RGB and HIS dual color space prior threshold constraint and an average gray value and a standard deviation of a spectrogram, and if exists, a contour-based hole filling algorithm is used to fill the large-scale building interior space image with primary segmentation and thresholding; then extracting feature points ofthe filled image using an optimized SURF algorithm, and carrying out optimum matching for feature points of the two filled images using a feature-based matching algorithm; finally, determining three-dimensional space coordinates of the optimized matching points based on an affine geometric space model. Therefore, the method and the system provided by the invention utilize a computer binocular stereo vision technology to timely identify and accurately locate the fire source of the large space building and improve the fire extinguishing efficiency.

Description

technical field [0001] The invention relates to the technical field of computer binocular vision matching, in particular to a method and system for identifying and locating fire sources of large building fires based on computer binocular vision matching. Background technique [0002] With the rapid development of economic level and the increasing enhancement of architectural science and technology, all kinds of modern urban buildings tend to develop in the direction of large space, comprehensive and high-rise. However, in recent years, there are often news of fires in large-space buildings, causing huge losses. Large-space buildings (such as shopping malls, cinemas, workshops, warehouses, exhibition halls, etc.) have a large single-story area and a high span between floors. On the one hand, due to the low smoke concentration and temperature reaching the detection device installed on the ceiling, traditional The detection device often cannot respond in time; on the other han...

AI Technical Summary

Problems solved by technology

However, in recent years, there have been frequent news of fires in large-space buildings, causing huge losses

Large-space buildings (such as shopping malls, cinemas, workshops, warehouses, exhibition halls, etc.) have a large single-story area and a high span between floors. On the one hand, due to the low smoke concentration and temperature reaching the detection device installed on the ceiling, traditional The detection devi...

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