Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Indoor fire detection method based on video monitoring platform

A technology of video monitoring and detection method, which is applied to fire alarms that rely on radiation effects, fire alarms that rely on smoke/gas effects, fire alarms, etc., and can solve the problems of missing the best time to eliminate fires, etc. Achieve the effects of low cost, universal applicability and practicality

Inactive Publication Date: 2012-09-12
国家消防工程技术研究中心 +2
View PDF8 Cites 60 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the obvious difference between the smoke characteristics and the flame characteristics, if the identification cannot be made accurately, the best time to eliminate the fire must be missed

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
  • Indoor fire detection method based on video monitoring platform
  • Indoor fire detection method based on video monitoring platform
  • Indoor fire detection method based on video monitoring platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described in detail below in combination with specific embodiments.

[0025] The present invention is an indoor fire detection method based on a video monitoring platform, such as figure 1 As shown, the architecture of the video monitoring platform adopted by the present invention includes a plurality of cameras, displays, hard disk video recorders and computer systems, and the detection method comprises the following steps:

[0026] 1) Code stream conversion:

[0027] The picture taken by a plurality of cameras 10 (including camera 1, camera 2, ..., camera n) is passed to the display 11 and the hard disk video recorder 12 simultaneously through cables; the display 11 directly displays the above-mentioned picture, and at the same time, The hard disk video recorder 12 converts the received analog signal into a YUV signal, encodes the YUV signal and stores it in the hard disk video recorder 13 in the form of a video file. In additio...

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 discloses an indoor fire detection method based on a video monitoring platform. The indoor fire detection method includes the steps: converting formats of inputted video code stream; preprocessing the video stream; detecting movement of the video stream to obtain movement pixels; extracting connected domains of the movement pixels meeting conditions; detecting multilayer colors of the connected domains and reserving the connected domains with flame and smoke characteristic colors; calculating the corresponding area variation and the central movement speed of the connected domains conforming to flame color characteristics to analyze dynamic variation; performing wavelet transformation for the connected domains conforming to smoke color characteristics, extracting high-frequency components and calculating the decay degree of the high-frequency components; calculating the perimeter and the area of the connected domains meeting the conditions and analyzing static shapes; andanalyzing by considering all the conditions and finally judging whether fire occurs or not. By the aid of the method, flame and indoor flicker lamps can be effectively and rapidly distinguished, and false alarm rate is greatly reduced.

Description

technical field [0001] The invention relates to an indoor fire flame and smoke detection method based on the existing video monitoring platform, which is especially suitable for indoor fire early warning. Background technique [0002] Existing indoor fire detectors generally include three types: smoke sensing, temperature sensing and light sensing. For smoke detectors, the color of the smoke, the size of the particles, the height of the space, and the accumulation of dust will cause false alarms and false alarms of the smoke detectors. According to relevant regulations, point-type smoke detectors are not suitable for buildings with a ceiling height exceeding 12m. Traditional heat detectors are generally effective in detecting the smoldering stage of the initial flame, and are not suitable for early alarm; in addition, in many cases, the increase in temperature is not necessarily caused by flame combustion, and there is an error in the temperature detector at this time repo...

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): G08B17/00G08B17/10G08B17/12G06T7/20H04N7/18H04N9/79
Inventor 李国生薛岗张为郜昕马建明
Owner 国家消防工程技术研究中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com