CN110507941B - Fire disaster treatment method and system - Google Patents

Fire disaster treatment method and system Download PDF

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Publication number
CN110507941B
CN110507941B CN201910775641.7A CN201910775641A CN110507941B CN 110507941 B CN110507941 B CN 110507941B CN 201910775641 A CN201910775641 A CN 201910775641A CN 110507941 B CN110507941 B CN 110507941B
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fire
indoor image
alarm
current indoor
carbon dioxide
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CN110507941A (en
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张云翔
饶竹一
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Shenzhen Power Supply Co ltd
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Shenzhen Power Supply Co ltd
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    • AHUMAN NECESSITIES
    • A62LIFE-SAVING; FIRE-FIGHTING
    • A62CFIRE-FIGHTING
    • A62C35/00Permanently-installed equipment
    • A62C35/58Pipe-line systems
    • A62C35/68Details, e.g. of pipes or valve systems
    • AHUMAN NECESSITIES
    • A62LIFE-SAVING; FIRE-FIGHTING
    • A62CFIRE-FIGHTING
    • A62C37/00Control of fire-fighting equipment
    • A62C37/36Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device
    • A62C37/38Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone
    • A62C37/40Control of fire-fighting equipment an actuating signal being generated by a sensor separate from an outlet device by both sensor and actuator, e.g. valve, being in the danger zone with electric connection between sensor and actuator
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/90Determination of colour characteristics
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B17/00Fire alarms; Alarms responsive to explosion
    • G08B17/12Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
    • G08B17/125Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions by using a video camera to detect fire or smoke

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Fire Alarms (AREA)
  • Alarm Systems (AREA)

Abstract

The invention provides a fire disaster treatment method and a system thereof, wherein the method comprises the following steps: acquiring a current indoor image in real time; carrying out image recognition on the current indoor image to obtain fire information, wherein the fire information comprises whether a fire occurs and the position of the fire; generating a first alarm signal and a fire extinguishing signal according to the fire information; controlling a first alarm module to alarm a fire according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire position to spray carbon dioxide according to the fire extinguishing signal to extinguish the fire at the fire position; wherein, the carbon dioxide gas valve is installed on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline. The invention is suitable for fire treatment of a high-voltage circuit machine room of a power grid, can automatically monitor and extinguish fire in the machine room and avoids manual fire extinguishment.

Description

Fire disaster treatment method and system
Technical Field
The invention relates to the field of fire alarm and fire extinguishment, in particular to a line tracking device and a tracking method thereof.
Background
The traditional building fire alarm and fire extinguishing adopts a smoke sensor to alarm the fire, then adopts a fire extinguishing nozzle arranged on a ceiling to automatically open and extinguish the fire by using tap water, but in power grid equipment, because of a high-voltage line, the fire cannot be extinguished by using water. The fire extinguisher needs to be put out fire manually, and in a high-voltage circuit machine room, a user holds the electric conductor fire extinguisher by hand, which is a dangerous thing.
Disclosure of Invention
The invention aims to provide a fire processing method and a fire processing system suitable for a high-voltage circuit machine room of a power grid, so that fire in the machine room can be automatically monitored and extinguished, and manual extinguishment is avoided.
In a first aspect, an embodiment of the present invention provides a fire disaster treatment method, including:
acquiring a current indoor image in real time;
carrying out image recognition on the current indoor image to obtain fire information, wherein the fire information comprises whether a fire occurs and the position of the fire;
generating a first alarm signal and a fire extinguishing signal according to the fire information;
controlling a first alarm module to alarm a fire according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire position to spray carbon dioxide according to the fire extinguishing signal to extinguish the fire at the fire position; wherein, the carbon dioxide gas valve is installed on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline.
Wherein, the image recognition of the current indoor image to obtain the fire information comprises:
acquiring a normal indoor image;
respectively carrying out color conversion processing on the current indoor image and the normal indoor image to obtain characteristic parameters, wherein the characteristic parameters comprise hue, color saturation and brightness;
comparing the characteristic parameters of the current indoor image with the characteristic parameters of the normal indoor image and preliminarily judging whether flames appear in the current indoor image or not according to a comparison result;
if the flame appears in the current indoor image preliminarily, extracting the characteristic parameters of the flame area in the current indoor image, matching the characteristic parameters of the flame area with the characteristic parameters of the reference flame, and further judging whether the flame appears in the current indoor image according to the matching result.
Wherein the acquiring of the normal indoor image comprises:
acquiring an indoor image at a whole point in a preset time period, wherein the default time period is at least 3 days;
and screening the indoor images at the integral point in the default time period to take the images with the largest number of pixel points as normal indoor images.
Wherein, the comparing the characteristic parameters of the current indoor image and the normal indoor image and preliminarily judging whether flames appear in the current indoor image according to the comparison result comprises:
and if the characteristic parameters of the current indoor image and the normal indoor image have a difference area and two colors appear alternately on the periphery of the difference area in the current indoor image, preliminarily judging whether flames appear in the current indoor image or not.
Wherein, the matching the characteristic parameter of the flame region with the characteristic parameter of the reference flame and further judging whether the flame appears in the current indoor image according to the matching result comprises:
matching the color tone of the flame area with the color tone of the reference flame to obtain a first matching degree;
matching the color saturation of the flame area with the color saturation of the reference flame to obtain a second matching degree;
matching the brightness of the flame area with the brightness of the reference flame to obtain a third matching degree;
and further judging whether flames appear in the current indoor image or not according to the first matching degree, the second matching degree and the third matching degree.
And if the first matching degree, the second matching degree and the third matching degree are all larger than the preset proportion, judging that the flame appears in the current indoor image.
Wherein, the image recognition of the current indoor image to obtain the fire information comprises:
dividing the current indoor image into a plurality of grids, wherein each grid corresponds to a carbon dioxide valve arranged on a fire extinguishing pipeline;
and when flame appears in the current indoor image, determining a square grid corresponding to the flame, wherein the square grid is the position of the fire.
Wherein the method further comprises:
receiving smoke sensing information of a smoke sensor, wherein a plurality of smoke sensors are arranged in a room;
generating a second alarm signal according to the smoke sensing information;
and controlling a second alarm module to alarm smoke according to the second alarm signal.
In a second aspect, an embodiment of the present invention provides a fire treatment system, configured to implement the fire treatment method, where the system includes:
the camera is used for acquiring a current indoor image in real time;
the image identification module is used for carrying out image identification on the current indoor image to obtain fire information, and the fire information comprises whether a fire occurs and the position of the fire;
the signal generating module is used for generating a first alarm signal and a fire extinguishing signal according to the fire information;
the control module is used for controlling the first alarm module to alarm a fire disaster according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire disaster position to spray carbon dioxide according to the fire extinguishing signal so as to extinguish the fire disaster position; the carbon dioxide valve is arranged on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline;
the first alarm module is used for carrying out fire alarm;
install the fire extinguishing pipe on indoor ceiling, this fire extinguishing pipe is internal to be saved and is had carbon dioxide, and installs a plurality of carbon dioxide gas valves on this fire extinguishing pipe, the carbon dioxide gas valve is used for spouting carbon dioxide.
Wherein the system further comprises:
a plurality of smoke sensors disposed in the room for detecting smoke information in the room;
the signal generation module is further used for receiving smoke sensing information of the smoke sensor and generating a second alarm signal according to the smoke sensing information;
the control module is also used for controlling a second alarm module to alarm smoke according to the second alarm signal;
and the second alarm module is used for carrying out smoke alarm.
The embodiment of the invention provides a fire disaster processing method and a system thereof, which are suitable for indoor places such as a high-voltage motor room and a host machine room of a power grid. Thereby realized the automatic fire control in the computer lab and put out a fire, avoided artifical the fire extinguishing.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a fire disaster treatment method according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram of image grid division according to a first embodiment of the present invention.
Fig. 3 is a structural diagram of a fire hazard treatment system according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures closely related to the solution according to the present invention are shown in the drawings, and other details not closely related to the present invention are omitted.
Example one
The first embodiment of the invention provides a fire disaster treatment method, which can be applied to the second embodiment of the fire disaster treatment system, and is suitable for fire disaster treatment of indoor places such as a high-voltage motor room and a host machine room of a power grid, which cannot extinguish fire through water.
Fig. 1 is a schematic flow chart of a fire hazard processing method according to an embodiment of the present invention, and referring to fig. 1, the method according to the embodiment includes steps S101 to S104.
And S101, acquiring a current indoor image in real time.
Specifically, in the step, a camera is used for carrying out video monitoring on the indoor environment, namely, continuous multiframe indoor images are shot. In addition, the monitoring room is independent of the indoor place to be monitored, and the image recognition module and the signal generation module can be arranged in the indoor place or the monitoring room.
And S102, carrying out image recognition on the current indoor image to obtain fire information, wherein the fire information comprises whether a fire occurs and a fire position.
Specifically, in the step, the image recognition module performs image recognition on the current indoor image shot by the camera, namely the current frame image, so as to obtain the fire information.
Wherein, step S102 specifically includes:
step S201, acquiring a normal indoor image.
Step S202, color conversion processing is respectively carried out on the current indoor image and the normal indoor image to obtain characteristic parameters, and the characteristic parameters comprise hue, color saturation and brightness.
Step S203, comparing the characteristic parameters of the current indoor image and the normal indoor image and preliminarily judging whether flames appear in the current indoor image according to the comparison result.
Step S204, if the flame appears in the current indoor image is preliminarily judged, extracting the characteristic parameters of the flame area in the current indoor image, matching the characteristic parameters of the flame area with the characteristic parameters of the reference flame, and further judging whether the flame appears in the current indoor image according to the matching result.
Wherein, the step S201 specifically includes:
and acquiring the indoor image at the integral point in a preset time period, wherein the default time period is at least 3 days.
And screening the indoor images at the integral point in the default time period to take the images with the largest number of pixel points as normal indoor images.
Specifically, an indoor image at a time of a few days integration is acquired, and since the indoor image employs a data sample at a time of a few days integration, the sample may exclude movement or person data. The rest is the main data of forbidden articles, the data passes through the pixel points, the pixel points with the largest number are used as effective pixel points, the pixel points with the data appearing for several days are eliminated, and then the image of the still picture can be obtained and used as a normal indoor image. The normal room image may be produced one sheet per day for use that day.
Wherein, the step S203 specifically includes:
and if the characteristic parameters of the current indoor image and the normal indoor image have a difference area and two colors appear alternately on the periphery of the difference area in the current indoor image, preliminarily judging whether flames appear in the current indoor image or not.
Specifically, when a fire occurs indoors, the area of the shot frame image corresponding to flames can have a significant difference from the characteristic parameters of the normal indoor image, which is reflected in that the hue, saturation and brightness of the flames are significantly different from those of the non-flames, so that the difference area can be determined by comparing the characteristic parameters of the current indoor image and the normal indoor image. It can be understood that the characteristic parameters corresponding to different colors are different, and accordingly, whether the peripheral color of the difference area presents an image background color and a flame color which alternately appear or not can be judged by comparing adjacent frame images through continuous multi-frame indoor images acquired in real time.
In step S204, the matching the characteristic parameter of the flame region with the characteristic parameter of the reference flame and further determining whether a flame appears in the current indoor image according to the matching result specifically include:
and S301, matching the color tone of the flame area with the color tone of the reference flame to obtain a first matching degree. Specifically, the first matching degree refers to a similarity of the color tone of the flame region and the color tone of the reference flame.
And S302, matching the color saturation of the flame area with the color saturation of the reference flame to obtain a second matching degree. Specifically, the first degree of matching refers to a similarity of a color saturation of the flame region and a color saturation of a reference flame.
And step S303, matching the brightness of the flame area with the brightness of the reference flame to obtain a third matching degree. Specifically, the first matching degree refers to a similarity of the brightness of the flame region and the brightness of the reference flame.
And S304, further judging whether flames appear in the current indoor image according to the first matching degree, the second matching degree and the third matching degree.
It should be noted that the reference flame may be a flame in a fire condition in a reference indoor location, and the characteristic parameter of the reference flame is obtained and used as a reference standard to compare with the characteristic parameter of the flame in the current indoor image.
Specifically, since the outer periphery of the flame region is in a pulsating state, the matching range in steps S301 to S303 is the characteristic parameter matching of the flame center region. And if the first matching degree, the second matching degree and the third matching degree are all larger than the preset proportion, judging that the flame appears in the current indoor image.
For example, the preset ratio is preferably, but not limited to, 95%, and when the first matching degree, the second matching degree, and the third matching degree are all greater than 95%, it is determined that flames appear in the current indoor image.
It should be noted that, for the existing flame identification technology, in the embodiment, when flame identification is performed, a difference region is determined by comparing a current indoor image with a normal indoor image, and then, whether two colors appear alternately on the periphery of the difference region is determined to primarily determine that flame appears; and finally, comparing the characteristic parameters of the reference flame with the characteristic parameters of the difference area to finally judge the occurrence of the flame. The present embodiment carries out the secondary to the current indoor image that obtains of shooing and judges for the discernment accuracy of flame improves greatly.
Further, it is preferable that the color of the entire screen is biased toward red and yellow due to the fire, i.e., the fire illuminates the environment, in order to improve the accuracy of flame recognition. Therefore, on the basis of the secondary judgment, the color deviation and the color deviation range can be calculated, and if the color deviation and the color deviation range accord with the characteristics of flames, the flames in the current indoor image are judged.
Wherein, the step S102 further includes:
step S401, dividing the current indoor image into a plurality of squares, as shown in fig. 2, where each square corresponds to a carbon dioxide valve installed on the fire extinguishing pipe.
Specifically, each square of the image shown in fig. 2 corresponds to each area of the room, and correspondingly, each area is provided with a carbon dioxide gas valve.
It should be noted that, in the steps, the specification is performed in a field grid manner, and as more pictures shot by the camera are large and small, the drawn dividing lines are also corresponded in a near-large and far-small manner, so that the gas valves are ensured to be accurately corresponded on the pictures. How many gas valves are distributed in a chamber is divided into several grids.
Step S402, when flame appears in the current indoor image, determining a square grid corresponding to the flame, wherein the square grid is the fire position.
Specifically, each square has a square number, each carbon dioxide valve has a valve number, each valve number corresponds to a square number, when flame appears in a certain square of the current indoor image, the position information of the flame is generated according to the number of the square, and the carbon dioxide valve corresponding to the number can be determined according to the number of the square.
And step S103, generating a first alarm signal and a fire extinguishing signal according to the fire information.
Specifically, in the step, the fire information of the image recognition module is received through a signal generation module, and a first alarm signal and a fire extinguishing signal are generated according to the fire information, wherein the first alarm signal represents the condition of fire in a monitored indoor place, and the fire extinguishing signal at least comprises the position information of flame.
And S104, controlling a first alarm module to alarm a fire according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire position to spray carbon dioxide according to the fire extinguishing signal to extinguish the fire position. Wherein, the carbon dioxide gas valve is installed on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline.
Specifically, in the step, a first alarm signal and a fire extinguishing signal of a signal generation module are received through a control module, and a first alarm module is controlled to alarm fire according to the first alarm signal, wherein the alarm mode can be a voice alarm mode and can also be combined with light flashing. The control module also determines the flame position and the carbon dioxide gas valve with the corresponding number according to the fire extinguishing signal, controls the carbon dioxide gas valve with the corresponding number to be opened, and sprays carbon dioxide to extinguish the fire at the fire position.
Since the ambient smoke concentration is usually increased suddenly before and after the flame occurs, as an improvement of the above embodiment, the method may further include:
step S501, receiving smoke sensing information of smoke sensors, wherein a plurality of smoke sensors are arranged in a monitored indoor place.
Step S503, generating a second alarm signal according to the smoke sensing information, specifically, if the smoke concentration sensed by any smoke sensor in the step S is greater than a preset threshold, generating a second alarm signal by a signal generating module.
And step S504, controlling a second alarm module to alarm smoke according to the second alarm signal. Specifically, in the step, the control module receives a second alarm signal of the signal generation module, and controls the second alarm module to alarm smoke according to the second alarm signal, which may be in a voice alarm mode or may be combined with light flashing.
It should be noted that the specific content of the alarm of the first alarm module is different from that of the second alarm module, so as to distinguish different types of alarms.
Example two
A second embodiment of the invention provides a fire processing system for implementing the fire processing method according to the first embodiment of the invention, and fig. 3 is a schematic structural diagram of the fire processing system according to the second embodiment.
Referring to fig. 3, the system includes:
and the camera 1 is used for acquiring the current indoor image in real time.
And the image identification module 2 is used for carrying out image identification on the current indoor image to obtain fire information, wherein the fire information comprises whether a fire disaster occurs and the position of the fire disaster.
And the signal generating module 3 is used for generating a first alarm signal and a fire extinguishing signal according to the fire information.
And the control module 4 is used for controlling the first alarm module to alarm a fire disaster according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire disaster position to spray carbon dioxide according to the fire extinguishing signal so as to extinguish the fire disaster position. Wherein, the carbon dioxide gas valve is installed on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline.
And the first alarm module 5 is used for carrying out fire alarm.
Install the fire extinguishing pipe on indoor ceiling, this fire extinguishing pipe is internal to be saved and is had carbon dioxide, and installs a plurality of carbon dioxide gas valves 6 on this fire extinguishing pipe, the carbon dioxide gas valve is used for spouting carbon dioxide.
Wherein the system further comprises:
a plurality of smoke sensors 7 arranged in the room for detecting smoke information in the room.
The signal generation module 3 is further configured to receive smoke sensing information of the smoke sensor, and generate a second alarm signal according to the smoke sensing information.
And the control module 4 is further configured to control a second alarm module to alarm smoke according to the second alarm signal.
And the second alarm module 8 is used for carrying out smoke alarm.
It should be noted that the system according to the second embodiment corresponds to the method according to the first embodiment, and therefore, a part of the system according to the second embodiment that is not described in detail can be obtained by referring to the content of the method according to the first embodiment, and is not described again here.
The foregoing is directed to embodiments of the present invention, and it is understood that various modifications and improvements can be made by those skilled in the art without departing from the spirit of the invention.

Claims (8)

1. A method of fire management, comprising:
acquiring a current indoor image in real time;
carrying out image recognition on the current indoor image to obtain fire information, wherein the fire information comprises whether a fire occurs and the position of the fire;
wherein identifying whether a fire is occurring comprises: acquiring a normal indoor image; respectively carrying out color conversion processing on the current indoor image and the normal indoor image to obtain characteristic parameters, wherein the characteristic parameters comprise hue, color saturation and brightness; comparing the characteristic parameters of the current indoor image with the characteristic parameters of the normal indoor image and preliminarily judging whether flames appear in the current indoor image or not according to a comparison result; if the flame appears in the current indoor image preliminarily, extracting the characteristic parameters of the flame area in the current indoor image, matching the characteristic parameters of the flame area with the characteristic parameters of the reference flame, and further judging whether the flame appears in the current indoor image according to the matching result;
wherein, discerning the position of the fire includes: dividing the current indoor image into a plurality of grids, wherein each grid corresponds to a carbon dioxide valve arranged on a fire extinguishing pipeline; when flame appears in the current indoor image, determining a square grid corresponding to the flame, wherein the square grid is the position of the fire;
generating a first alarm signal and a fire extinguishing signal according to the fire information;
controlling a first alarm module to alarm a fire according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire position to spray carbon dioxide according to the fire extinguishing signal to extinguish the fire at the fire position; wherein, the carbon dioxide gas valve is installed on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline.
2. A fire management method according to claim 1, wherein the acquiring of the normal indoor image includes:
acquiring an indoor image at a point in a preset time period, wherein the preset time period is at least 3 days;
and screening the indoor images at the integral point within a preset time period to take the images with the largest number of pixel points as normal indoor images.
3. The fire processing method according to claim 2, wherein the comparing the characteristic parameters of the current indoor image with the characteristic parameters of the normal indoor image and preliminarily determining whether flames appear in the current indoor image according to the comparison result comprises:
and if the characteristic parameters of the current indoor image and the normal indoor image have a difference area and two colors appear alternately on the periphery of the difference area in the current indoor image, preliminarily judging whether flames appear in the current indoor image or not.
4. The fire processing method of claim 3, wherein the matching the characteristic parameter of the flame region with the characteristic parameter of the reference flame and further determining whether a flame appears in the current indoor image according to the matching result comprises:
matching the color tone of the flame area with the color tone of the reference flame to obtain a first matching degree;
matching the color saturation of the flame area with the color saturation of the reference flame to obtain a second matching degree;
matching the brightness of the flame area with the brightness of the reference flame to obtain a third matching degree;
and further judging whether flames appear in the current indoor image or not according to the first matching degree, the second matching degree and the third matching degree.
5. The fire processing method according to claim 4, wherein if the first matching degree, the second matching degree and the third matching degree are all greater than a preset ratio, it is determined that flames appear in the current indoor image.
6. A fire management method as claimed in claim 5, wherein the method further comprises:
receiving smoke sensing information of a smoke sensor, wherein a plurality of smoke sensors are arranged in a room;
generating a second alarm signal according to the smoke sensing information;
and controlling a second alarm module to alarm smoke according to the second alarm signal.
7. A fire management system for implementing the fire management method of any one of claims 1 to 6, the system comprising:
the camera is used for acquiring a current indoor image in real time;
the image identification module is used for carrying out image identification on the current indoor image to obtain fire information, and the fire information comprises whether a fire occurs and the position of the fire;
the signal generating module is used for generating a first alarm signal and a fire extinguishing signal according to the fire information;
the control module is used for controlling the first alarm module to alarm a fire disaster according to the first alarm signal, and controlling a carbon dioxide gas valve corresponding to the fire disaster position to spray carbon dioxide according to the fire extinguishing signal so as to extinguish the fire disaster position; the carbon dioxide valve is arranged on the fire extinguishing pipeline, and carbon dioxide is stored in the fire extinguishing pipeline;
the first alarm module is used for carrying out fire alarm;
install the fire extinguishing pipe on indoor ceiling, this fire extinguishing pipe is internal to be saved and is had carbon dioxide, and installs a plurality of carbon dioxide gas valves on this fire extinguishing pipe, the carbon dioxide gas valve is used for spouting carbon dioxide.
8. A fire management system as claimed in claim 7, comprising:
a plurality of smoke sensors disposed in the room for detecting smoke information in the room;
the signal generation module is further used for receiving smoke sensing information of the smoke sensor and generating a second alarm signal according to the smoke sensing information;
the control module is also used for controlling a second alarm module to alarm smoke according to the second alarm signal;
and the second alarm module is used for carrying out smoke alarm.
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CN111330185A (en) * 2020-02-29 2020-06-26 广东君兆建设集团有限公司 Ancient building decoration fire prevention method and system
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TWI804996B (en) * 2021-09-24 2023-06-11 盛泰光電股份有限公司 Active fire extinguishing system and active fire extinguishing method

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201366207Y (en) * 2008-11-06 2009-12-23 曾庆一 High-reliability low-pressure CO2 fire extinguishing system
CN101441712B (en) * 2008-12-25 2013-03-27 北京中星微电子有限公司 Flame video recognition method and fire hazard monitoring method and system
CN101632855A (en) * 2009-05-27 2010-01-27 北京奥腾讯达科技有限公司 Fire fighting system
TWI420423B (en) * 2011-01-27 2013-12-21 Chang Jung Christian University Machine vision flame identification system and method
KR101366198B1 (en) * 2013-01-21 2014-03-13 상지영서대학 산학협력단 Image processing method for automatic early smoke signature of forest fire detection based on the gaussian background mixture models and hsl color space analysis
CN104424632B (en) * 2013-08-23 2017-11-21 浙江大华技术股份有限公司 A kind of video contrast's method for detecting abnormality and device
CN103778418A (en) * 2014-01-28 2014-05-07 华南理工大学 Mountain fire image identification method of image monitoring system of electric transmission line tower
CN205850066U (en) * 2016-07-25 2017-01-04 公安部天津消防研究所 A kind of image-type gas extinguishing control system
CN106910310B (en) * 2017-05-09 2023-01-31 南京信息工程大学 Forest fire prevention emergency alarm device
CN107158607A (en) * 2017-07-11 2017-09-15 江苏海事职业技术学院 A kind of server extinguishing device
CN107576269B (en) * 2017-08-11 2019-12-24 国网湖南省电力公司 Power transmission line forest fire positioning method

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