An image-type smoke fire detection method and system

Abstract

The invention discloses an image type smoke fire disaster detection method and system. The image type smoke fire disaster detection method comprises the following steps: filtering an obtained video image; subjecting the video image to differential operation to obtain an differential image, and generating a static image according to the video image and the differential image; dividing the differential image and the static image into a plurality of connected domains according to a preset color model, and processing the connected domains to obtain a potential smoke zone; dividing the potential smoke zone into a plurality of clusters, and obtaining the area information of each cluster, the average value of the HU monuments of the connected domains, the number of the connected domains, the fluttering feature information of each cluster and the particle position information of each cluster at the same time; and judging whether smoke exists in the potential smoke zone or not by using a Bayesian decision making device according to the area information of each cluster, the average value of the HU monuments of the connected domains, the number of the connected domains, the fluttering feature information of each cluster and the particle position information of each cluster.

Description

technical field [0001] The invention relates to the field of fire detection, in particular to an image-type smoke fire detection method and system. Background technique [0002] The use of fire is one of the most important inventions of mankind, but once it develops into a fire out of control, it will seriously threaten human life, property and the natural environment. Due to the suddenness and frequent occurrence of fire, the damage it causes is second only to drought and flood disasters. Since the history of human beings, they have been hovering on the edge of combustion utilization and fire prevention and control, and with the progress of human civilization, they have gradually developed from passive fire fighting to active detection and prevention of fires to prevent too much damage and loss . [0003] Fire detection has already had relatively mature technologies in various occasions and different technical fields, such as smoke sensing, temperature sensing, etc. They ...

AI Technical Summary

Problems solved by technology

[0004] However, traditional image-based fire detectors detect fires by detecting flames. Flames are not a typical physical feature in the early stages of a fire. They appear much later than smoke. When flames are small, they are easily blocked and difficult to detect. , resulting in longer fire detection response time, higher false alarm rate and missed alarm rate

And because the area of ​​the flame is often smaller than the area of ​​the smoke, the fire detection distance is shorter

In some special occasions, such as long-distance pasture fire detection, surface flame is a feature that is difficult to detect, and traditional image-based fire detectors cannot complete fire detection

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