Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image-based method of finding flames with large-space intelligent fire-fighting system

A fire-extinguishing system and large-space technology, applied in closed-circuit television systems, fire rescue, fire alarms, etc., can solve the problems of unusable smoke sensors and inability to accurately locate the fire location, and achieve short and fast search times for fire sources. , to ensure the effect of fire safety

Active Publication Date: 2010-09-29
WISESOFT CO LTD
View PDF6 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The traditional method of fire prevention is to use smoke detectors, but in large spaces such as airports, docks, squares, stadiums, venues, etc., traditional smoke detectors cannot be used
At present, the large-space fire monitor system is widely used. The front-end sensors of the system generally include infrared detectors, ultraviolet detectors, etc., but these systems have the weakness of being unable to accurately locate the fire location.

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
  • Image-based method of finding flames with large-space intelligent fire-fighting system
  • Image-based method of finding flames with large-space intelligent fire-fighting system
  • Image-based method of finding flames with large-space intelligent fire-fighting system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Embodiments are given in conjunction with the accompanying drawings to illustrate the present invention in detail. figure 1 It is the architecture diagram of the whole system. It can be seen in the figure that the processor collects and processes the camera, controls the fire monitor and provides the data to the monitoring terminal.

[0028] The support system of the present invention is mainly divided into three modules, one is the front-end video acquisition and processing module, the other is the flame center processing module, and the third is the fire control module. of. For the workflow of the modules described, see figure 2 , that is, enter the interface initialization after the start, and then return to the end command if the device initialization fails; if it succeeds, read in the configuration device letter to start the video acquisition processing thread, start the fire monitor control thread; enter the flame center processing module; if not receive the end...

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

An image-based method of finding flames with large-space intelligent fire-fighting system relates to the technical field of the combination of the fire-fighting control system and the computer image recognition. The support system of the method comprises a front-end video collecting and processing module, a flame central processing module and a fire-fighting control module. The method comprises the following steps: 1) flame target detection: using a fixed camera to detect flame; 2) flame target location: using at least three cameras to locate the flame target and send the detection information to the central processing module; using the central processing module to receive the information from the fixed camera which detects the flame, performing data fusion, deciding whether to douse the flame; and 3) secondary flame target location: after using a fire monitor to aim the flame, using the fixed camera to aim the flame target secondly, and using the central processing module to control the fire monitor to move. By using the method, real-time fire monitoring can be realized, the real-time control of the fire-fighting system can be realized and fire safety by combining early warning and automatic fire-fighting can be effectively realized.

Description

technical field [0001] The invention relates to the technical field of combining a fire extinguishing control system with computer image recognition, in particular to an image-based method for finding flames in a large-space intelligent fire extinguishing system. Background technique [0002] The traditional method of fire prevention is to use smoke detectors, but in large spaces such as airports, docks, squares, stadiums, venues and other places, traditional smoke detectors cannot be used. At present, the large-space fire monitor system is widely used. The front-end sensors of the system generally include infrared detectors, ultraviolet detectors, etc., but these systems have the weakness of being unable to accurately locate the fire location. This study provides an image-based flame-seeking method for large-space intelligent fire extinguishing systems. The method is an automatic fire extinguishing system based on video image recognition, cameras, image collectors, PC hosts...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00A62C37/00H04N7/18
Inventor 鲁书贤刘正熙唐鹏熊运余周磊
Owner WISESOFT CO LTD
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
Eureka Blog
Learn More
PatSnap group products