Smoke detection and fire alarm method based on trajectory identification

Abstract

The invention provides a smoke detection and fire alarm method based on trajectory identification. The method includes the following steps of 1, video information preprocessing, wherein the video information preprocessing step sequentially includes a dark channel setting stage and an image partitioning stage to increase the thin smoke and environment contrast ratio and a video time information compression stage for transforming three-dimensional images into two-dimensional projection compression images through projection transformation and building a time compression trajectory, 2, smoke detection based on trajectory identification, wherein smoke detection is conducted on the video time compression trajectory obtained in step 1, and the trajectory-identification-based smoke detection step sequentially includes a background image removing stage, a movement trajectory extracting stage and a smoke feature detection stage and 3, smoke source positioning and smoke quantitative calculation, wherein smoke source positioning is conducted on the smoke detected in step 2, and the smoke amount is calculated according to a smoke source. The smoke detection and fire alarm method has the advantages of being easy to calculate, higher in identification accuracy, high in identification speed, good in adaptability and better in identification effect.

Description

technical field [0001] The invention relates to a smoke detection method for fire early warning, in particular to a smoke detection and fire early warning method based on trajectory identification. Background technique [0002] There are tens of thousands of fires every day all over the world, causing hundreds of deaths; every year about 10km in Europe 2 of forests were destroyed by fire, about 100km in Russia and the United States 2 , About 0.1% of the world's forests are destroyed by fire, and more than 20% of CO 2 Emissions from fire. Fire is the most frequent disaster, which brings huge losses to human life. In the long-term struggle against fire, people have gradually accumulated experience, summed up the law of fire occurrence, and have changed from passive acceptance of fire in the past to active detection and prevention of fire. According to changes in physical quantities such as smoke, gas, and temperature, aspirating smoke detectors, single-point smoke detector...

AI Technical Summary

Problems solved by technology

Smoke spreads slowly in the early stages of a fire, sometimes taking a long time to reach the detector, or not reaching the detector at all

2. In a large space indoor environment, when the smoke rises to a certain height, it will be cooled by the surrounding air, and it will not rise when it stays in the air, making the traditional smoke detector useless

3. In the outdoor environment, the smoke is easily blown away by the high-speed airflow, so that the smoke cannot reach the smoke detector and cannot be detected.

4. Traditional smoke detectors are easily affected by tiny particles such as dust in the environment, which reduces the detection efficiency

However, these methods require relatively strong computing power, and consume a lot of computing resources such as time and space. CCD monitoring systems often do not have such computing resources.

[0004] Due to the absence of suitable features, the existing smoke detection methods cannot completely exclude approximate targets, and cannot treat strong smoke and weak smoke equally, and are still lacking in accuracy, adaptability, and rapidity of calculation.

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