Method for fire detection based on flame color template

Abstract

The invention relates to a fire detection method using flame color templates. Adopting a colorful CCD photography system, based on the regularity of distribution of the flame three primary colors in the color space, the invention collects a plurality of flame samples beforehand, makes analytical statistics on the flame color values to obtain sample average and variance, and inputs statistical results into computers as parameters. When the detector is working, the colorful CCD converts on-site images into digital signals, and sends to the computer internal memory through an image card; after obtaining the image data, the processor compares the data with the predetermined parameters, to judge whether the data conforms to the Gaussian distribution law; regions which meet the conditions are taken as questionable regions, and then the questionable regions are under differential processing to further analyze whether changes of the objects over time meet the characteristics of fires such as jump, flicker and instability. The invention increases reliability of fire detection, and can meet different requirements of fire detection, linked alarming, image monitoring, as well as fire and theft prevention.

Description

technical field [0001] The invention relates to a fire detection method, in particular to a fire detection method using a flame color template. Background technique [0002] We know that traditional smoke, temperature, and light detectors have been widely used in building fire protection. Smoke detectors usually detect whether there are smoke particles produced by fire in the monitoring area. Smoke is a precursor to fire, so The suspended solid and liquid particles contained in the smoke become a basis for fire detection, but the size of the particles, dust in the environment, electromagnetic, airflow and other factors often cause wrong judgments. Another feature of the fire is that the temperature rises, and the turbulent smoke also has a certain temperature. When the fire temperature parameter exceeds a certain value within a specified period of time, it triggers a point-type or linear temperature-sensitive detector. In some occasions or the fire is in the smoldering stag...

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Problems solved by technology

[0002] We know that traditional smoke, temperature, and light detectors have been widely used in building fire protection. Smoke detectors usually detect whether there are smoke particles produced by fire in the monitoring area. Smoke is a precursor to fire, so The suspended solid and liquid particles contained in the smoke become a basis for fire detection, but the size of the particles, dust in the environment, electromagnetic, airflow and other factors often cause wrong judgments

Another feature of the fire is that the temperature rises, and the turbulent smoke also has a certain temperature. When the fire temperature parameter exceeds a certain value within a specified period of time, it triggers a point-type or linear temperature-sensitive detector. In some occasions or the fire is in the smoldering stage, the alarm time is often delayed because the temperature rise still does not reach the limit of triggering the alarm, and the drastic change in temperature, such as the process of using air conditioning or heating equipment, the airflow directly blows through the alarm containing temperature sensor The detectors of the components may cause false alarms; the photosensitive detectors have ultraviolet flame type and infrared flame type, which use the ultraviolet radiation and infrared radiation generated by the flame to detect the flame and respond respectively. The photosensitive detector has similar defects and is not Only fire emits ultraviolet and infrared light, there are X-rays in the environment, welding arcs, or the detector is directly or indirectly irradiated by sunlight or other light sources, which may cause false alarms

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