Fire alarm monitoring method and system based on AI

Abstract

The invention is suitable for the field of computers, and provides an AI-based fire alarm monitoring method and system, and the method comprises the steps: enabling a plurality of monitoring ends to comprise a first monitoring end and a second monitoring end, wherein monitoring information of the second monitoring end and the first monitoring end is uniformly reported to the central control end through a second information interaction channel between the first monitoring end and the central control end; detecting whether monitoring information is normal or not, wherein the monitoring information at least comprises temperature identification information; and when and only when the monitoring information of a certain first monitoring end is detected to be lost and the temperature in the corresponding sub-region monitored by one monitoring end adjacent to the first monitoring end exceeds a historical normal temperature range, judging that the first monitoring end of which the detection information is lost may be damaged due to a fire in the corresponding sub-region. The beneficial effects of the invention are that the method can achieve the positioning of a sub-region where a fire may be found through the judgment of the damage and temperature of a monitoring end, is high in robustness, and facilitates the reduction of cost.

Description

technical field [0001] The invention belongs to the field of computers, and in particular relates to an AI-based fire alarm monitoring method and system. Background technique [0002] Fire is a major hidden danger that threatens human existence. Fire can be divided into six categories according to my country's "Fire Classification" standard: A, B, C, D, E, and F, which correspond to solid material fires, referring to liquids or meltable solids. Material fires, gas fires, metal fires, live fires, and cooking fires in cooking utensils can be divided into four levels according to the fire level: major fires, major fires, relatively large fires, and general fires. Frequent fires cause people If the fire source is discovered in time and effective fire-fighting measures are taken to extinguish the initial flame, various losses can be greatly reduced. [0003] Artificial-Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and applic...

AI Technical Summary

Problems solved by technology

[0004] There are many kinds of fire monitoring systems on the market, but they mainly include video recognition, flame recognition, smoke concentration recognition, etc. However, through the research on the current market fire monitoring system, it can be found that it is easy to cause the monitoring area to fall under the harsh environment. The detection circuit of the detection circuit is damaged, so that the outside world cannot know the dangerous situation in the monitoring area in time at this time, and it is easy to cause a larger fire accident.

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