Method for recognizing and detecting tunnel fire disaster flame

A flame and tunnel technology, which is applied in the field of identification and detection of fire flames in tunnels, can solve the problems of similarity in shape, less use in the field of video processing, etc., and achieve the effect of reducing the false alarm rate

Active Publication Date: 2009-03-25
ZHEJIANG UNIV
View PDF0 Cites 49 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the similarity comparison of shapes is still a very difficult

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for recognizing and detecting tunnel fire disaster flame
  • Method for recognizing and detecting tunnel fire disaster flame
  • Method for recognizing and detecting tunnel fire disaster flame

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The cameras distributed in various road sections inside and outside the tunnel convert the pictures captured into analog signals and transmit them to the CCTV controller in the control room through optical fibers. On the CCTV controller, the analog signal is converted into a digital signal, part of which is sent to the computer monitor screen located in each monitoring room, the other part is sent to the digital monitoring host, and part of it is encoded (usually MPEG encoding) for storage. to the hard disk recorder.

[0026] Such as figure 1 As shown, the present invention includes processes such as preprocessing, motion detection, color detection, connected region search, shape analysis and area change analysis of the input video stream, and finally a comprehensive judgment result will be generated.

[0027] Each step is described in detail below:

[0028] 1. Pretreatment

[0029] Since tunnels and other relatively confined spaces are greatly affected by light and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for identifying and detecting flame of a tunnel fire hazard. The method comprises the following steps: performing a pretreatment of eliminating illumination on an input video stream; performing motion detection on the video stream to obtain a moving pixel; performing color detection on the video stream to obtain a color pixel with flame characteristics; searching communication areas which are formed by all mutually connected pixels according with same characteristics; calculating out the perimeters and the areas of the obtained communication areas to perform shape analysis; and performing area variation analysis on each communication area to finally judge whether a fire hazard happens. The method, based on a fire hazard detection system with image processing, can correctly identify flame information from an image sequence with background noise according to the characteristics of flame images that the color, the shape and glittery characteristic, the position, the area and the brightness of the flame images change over time, thus the method can separate the real flame from a glittery vehicle lighting in a tunnel, greatly reduce the false alarm rate, and achieve the aim of fire hazard monitoring.

Description

technical field [0001] The invention relates to a method for identifying and detecting fire flames in tunnels, which can distinguish real flames in tunnels from flickering car lights, thereby greatly reducing false alarm rates. It can be applied to various fire monitoring places that are greatly disturbed by lights (such as tunnels, night fire monitoring, etc.). Background technique [0002] The fire monitoring method based on image processing takes advantage of the color, shape, and flickering characteristics of the flame image in the short period of time when the fire has just occurred, as well as the characteristics of its position, area, and brightness changing with time, and correctly recognizes the flame information from the image sequence containing background noise. , to achieve the purpose of fire monitoring. Compared with the traditional temperature and smoke fire detection and alarm system, the fire detection system based on image processing has the following adv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06T7/00H04N5/14H04N7/26
Inventor 谢迪廖胜辉童若峰
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap