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Open fire detection method and system based on flame runout modeling

A detection method and jump detection technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve the problems of low detection rate, inability to prevent and eliminate fire hazards well, and achieve the goal of overcoming detection low rate effect

Active Publication Date: 2020-05-22
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing video image-based monitoring, most of them are detected by the color of the flame. In the complex background, there is a shortcoming of low detection rate, which cannot prevent and eliminate the hazards of fire well.

Method used

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  • Open fire detection method and system based on flame runout modeling
  • Open fire detection method and system based on flame runout modeling
  • Open fire detection method and system based on flame runout modeling

Examples

Experimental program
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Effect test

Embodiment 1

[0064] An open flame detection method based on flame jump modeling, comprising:

[0065] Get the video image;

[0066] Annotate and edge detect the image to obtain the edge detection result of the image, select the closed area with the largest area in the edge detection result as the target area, and obtain the image marked with the target area;

[0067] Input the target area into the pre-trained flame jump detection model;

[0068] Use the flame jumping detection model to analyze the target area to determine whether there is an open flame in the image; wherein, the flame jumping detection model is obtained by using multiple sets of data training, and the multiple sets of data include: the first type of data and the second type of data Each set of data in the first type of data includes: an image containing an open flame and a label indicating that the image contains an open flame; each set of data in the second type of data includes: an image that does not contain an open fl...

Embodiment 2

[0119] Such as figure 1 As shown, an open flame detection system based on flame jump modeling, including:

[0120] Image acquisition module: acquire video images;

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Abstract

The invention discloses an open fire detection method and system based on flame runout modeling. The method comprises the steps of acquiring a video image; preprocessing continuous frame images in thevideo image; carrying out labeling and edge detection on the image to obtain an edge detection result of the image, and selecting a closed region with the largest area from the edge detection resultto serve as a target region; inputting the target area into a pre-trained flame runout detection model; analyzing the target area by using a flame runout detection model, and determining whether openfire exists in the image or not;, wherein the flame runout detection model is obtained by training a plurality of groups of data.

Description

technical field [0001] The invention belongs to the technical field of open flame detection, and in particular relates to an open flame detection method and system based on flame jump modeling. Background technique [0002] With the development of machine vision and digital image processing technology, video fire detection method has been widely used due to its advantages of non-contact, long detection distance, large space and strong adaptability to outdoor environment, and has become an important research direction of fire detection. [0003] Most fire detection systems are traditional detectors through temperature, smoke concentration, relative humidity, etc. The system is mostly composed of smoke sensors, infrared sensors, ion sensors, etc. It takes several minutes for smoke, heat, etc. to diffuse to the sensor, so this type of The system cannot detect the occurrence of a fire in a timely and accurate manner, but this type of system cannot meet the detection needs of som...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06V20/41G06N3/045
Inventor 姚楠吴曦蔡越朱吕甫李剑英朱兆喆高涛
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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