CN108831097A - Flame smog identifying system and method - Google Patents
Flame smog identifying system and method Download PDFInfo
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- CN108831097A CN108831097A CN201810960432.5A CN201810960432A CN108831097A CN 108831097 A CN108831097 A CN 108831097A CN 201810960432 A CN201810960432 A CN 201810960432A CN 108831097 A CN108831097 A CN 108831097A
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 18
- 230000029052 metamorphosis Effects 0.000 claims description 12
- 238000013528 artificial neural network Methods 0.000 claims description 11
- 230000003190 augmentative effect Effects 0.000 claims description 7
- 239000000284 extract Substances 0.000 claims description 5
- 235000019504 cigarettes Nutrition 0.000 claims description 2
- 239000003595 mist Substances 0.000 claims description 2
- 210000005036 nerve Anatomy 0.000 claims 2
- 238000006467 substitution reaction Methods 0.000 claims 1
- 230000006870 function Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 239000000779 smoke Substances 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/12—Actuation by presence of radiation or particles, e.g. of infrared radiation or of ions
- G08B17/125—Actuation 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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- Fire-Detection Mechanisms (AREA)
Abstract
The present invention discloses flame smog identifying system and method, security protection camera, memory, master controller, cloud platform and mobile terminal including multiple different locations being installed in a region, the memory are stored with the position of one-to-one security protection camera and fire-fighting system and each security protection camera；Security protection camera is for the image in front of taking lens and by the image transmitting shot to master controller；Master controller is used to identify whether there is flame and/or smog in received image by image recognition technology, transmission there are the corresponding fire-fighting system of the security protection camera of flame and/or the image of smog and opens the fire-fighting system in identifying lookup memory sometimes, while containing the transmission found out from memory, there are the alarm signals of the position of flame and/or the security protection camera of the image of smog to cloud platform for transmission one；Cloud platform is used to alarm signal being transmitted to mobile terminal.Whether can accurately judge that out has fire and the fire-fighting system that links when there is fire.
Description
Technical field
The present invention relates to flame smog identification technology field, more particularly to a kind of flame smog identifying system and method,
Based on existing security protection camera real-time image acquisition, public place flame and its smog are detected, fire is mainly used for
Early stage prevention and early warning.
Background technique
Currently, building and market mainly carry out flame and its smog detecting by smoke alarm, temperature sensor.Though
So cost is relatively low, but its covering surface is limited, belongs to a detection, and the response of Initial Stage of Fire is slower, and in addition smoke sensor device is often
Because the reasons such as smoking generate wrong report.In addition, also there are infrared tube, ultraviolet barrel means to carry out flame detecting at present, the disadvantage is that at
Ben Taigao, general public place can not be widelyd popularize, and inflammable and explosive warehouse is mainly used for.It is equally, current that there are also a kind of based on general
The image-type flame detection system of logical, infrared dual camera is also not suitable for public affairs since the cost based on infrared imaging is higher
Place is promoted on a large scale altogether.
Summary of the invention
The present invention is in view of the problems of the existing technology and insufficient, provides a kind of flame smog identifying system and method.
The present invention is to solve above-mentioned technical problem by following technical proposals：
The present invention provides a kind of flame smog identifying system, it is characterized in that comprising it is multiple to be installed in a region
Security protection camera, memory, master controller, cloud platform and the mobile terminal of different location, the memory are stored with an a pair
The position of the security protection camera and fire-fighting system and each security protection camera answered；
The security protection camera is for the image in front of taking lens and by the image transmitting shot to master controller；
The master controller is used to by image recognition technology identify whether there is flame and/or smog in received image,
There are the corresponding fire-fighting systems of the security protection camera of flame and/or the image of smog for transmission in identifying lookup memory sometimes
And the fire-fighting system is opened, while there are flame and/or the images of smog containing the transmission found out from memory for transmission one
Security protection camera position alarm signal to cloud platform；
The cloud platform is used to alarm signal being transmitted to mobile terminal.
Preferably, showing the dummy model in the region in the cloud platform, the alarm signal further includes that there are flames
And/or the image of smog；
The cloud platform is used to indicate the position of the security protection camera in alarm signal in dummy model to indicate to send out
It lights a fire calamity, and fire position occurs in dummy model using the image superposition that flame and/or smog will be present in augmented reality
In the front region set, enhanced dummy model is transmitted to mobile terminal.
Preferably, showing the electronic map in the region in the cloud platform, the cloud platform is on the electronic map
The position of the security protection camera in alarm signal is indicated to indicate to occur fire, and the electronic map that alarm signal will be labeled with
It is transmitted to mobile terminal.
Preferably, the master controller is used for through neural network algorithm to the metamorphosis of flame, the flashing frequency of flame
Rate and flame Level building flame identification model and training, extract the flame when having identified flame by image recognition technology
Metamorphosis, flicker frequency and flame level characteristics substitute into flame identification model and accurately identify flame to realize.
Preferably, the master controller is used for through neural network algorithm to the shape of smog, the color of smog and smog
Texture establish smog identification model and training, extracted when identifying smog by image recognition technology the smog shape,
Color and textural characteristics, which substitute into smog identification model, accurately identifies smog to realize.
The present invention also provides a kind of flame smog recognition methods, it is characterized in that, it is identified using above-mentioned flame smog
System is realized, the described method comprises the following steps：
Image in front of S1, the security protection camera taking lens and by the image transmitting shot to master controller；
S2, the master controller identify whether there is flame and/or smog in received image by image recognition technology,
It identifies and enters step S3 sometimes；
S3, the master controller search transmission in memory, and there are flame and/or the security protection cameras pair of the image of smog
The fire-fighting system answered simultaneously opens the fire-fighting system, at the same send one containing the transmission found out from memory there are flame and/
Or the alarm signal of the position of the security protection camera of the image of smog is to cloud platform；
Alarm signal is transmitted to mobile terminal by S4, the cloud platform.
Preferably, showing the dummy model in the region in the cloud platform, the alarm signal further includes that there are flames
And/or the image of smog；
In step s 4, the cloud platform indicated in dummy model the position of the security protection camera in alarm signal with
It indicates that fire occurs, and is occurred in dummy model using the image superposition that flame and/or smog will be present in augmented reality
In the front region of fire location, enhanced dummy model is transmitted to mobile terminal.
Preferably, showing the electronic map in the region in the cloud platform, in step s 4, the cloud platform is in electronics
The position of the security protection camera in alarm signal is indicated on map to indicate to occur fire, and the electricity that alarm signal will be labeled with
Sub- map transmission is to mobile terminal.
Preferably, in step s3, the master controller is by neural network algorithm to the metamorphosis of flame, flame
Flicker frequency and flame Level building flame identification model and training, extraction when having identified flame by image recognition technology
Metamorphosis, flicker frequency and the flame level characteristics of the flame, which substitute into flame identification model, accurately identifies fire to realize
Flame.
Preferably, in step s3, the master controller is by neural network algorithm to the shape of smog, the color of smog
Smog identification model and training are established with the texture of smog, extracts the smog when identifying smog by image recognition technology
Shape, color and textural characteristics substitute into smog identification model and accurately identify smog to realize.
On the basis of common knowledge of the art, above-mentioned each optimum condition, can any combination to get each preferable reality of the present invention
Example.
The positive effect of the present invention is that：
The present invention utilizes existing security protection camera, can rapidly and accurately have been recognised that by image recognition technology
Fire, and the existing fire-fighting system that links when there is fire is put out a fire, no matter from early warning speed or covering surface all significantly
More than the flame detectings technology such as traditional smoke alarm, temperature sensor.Moreover, the present invention being capable of essence using neural network algorithm
It really identifies flame or smog, further increases the accuracy rate of identification.
Flame smog identifying system of the present invention does flame monitoring using common security protection camera, can be simultaneous with existing fire system
Hold, realize fire alarm information push, low in cost, transformation is convenient, is suitble to large-scale popularization in public places, improves existing fire-fighting system
System fire-alarm prediction ability, reduces rate of false alarm.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the flame smog identifying system of the embodiment of the present invention 1.
Fig. 2 is the flow chart of the flame smog recognition methods of the embodiment of the present invention 1.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.On the contrary, this
The embodiment of invention includes all changes fallen within the scope of the spiritual and intension of attached claims, modification and is equal
Object.
In the description of the present invention, unless otherwise indicated, the meaning of " plurality " is two or more.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Embodiment 1
As shown in Figure 1, the present embodiment provides a kind of flame smog identifying systems comprising multiple to be installed in a region
Security protection camera 1, memory 2, master controller 3, cloud platform 4 and the mobile terminal 5 of different location, the memory 2 are stored with
The position of one-to-one security protection camera and fire-fighting system 6 and each security protection camera.Wherein, security protection camera 1 and disappear
Anti- system 6 is the prior art, its structure is just no longer described in detail here.
Lower mask body introduces the function that above-mentioned each component has：
The security protection camera 1 is for the image in front of taking lens and by the image transmitting shot to master controller 3.
The master controller 3 be used for by neural network algorithm to the metamorphosis of flame, the flicker frequency of flame and
Flame Level building flame identification model and training, by neural network algorithm to the shape of smog, the color of smog and smog
Texture establish smog identification model and training.
The master controller 3 is used to by image recognition technology identify whether there is flame and/or smog in received image,
Metamorphosis, flicker frequency and the flame level characteristics generation of the flame are extracted when identifying flame by image recognition technology
Enter in flame identification model and accurately identifies flame to realize；The smog is extracted when identifying smog by image recognition technology
Shape, color and textural characteristics substitute into smog identification model and accurately identify smog to realize, further increase the accurate of identification
Rate.
The master controller 3 is also used to search transmission in memory 2, and there are the security protection of flame and/or the image of smog camera shootings
Corresponding fire-fighting system 6 simultaneously opens the fire-fighting system 6, while sending one and existing containing the transmission found out from memory 2
The alarm signal of the position of the security protection camera of the image of flame and/or smog is to cloud platform 4.
The cloud platform 4 is used to alarm signal being transmitted to mobile terminal 5.Further, it is shown in the cloud platform 4
The dummy model in the region, the alarm signal further include the image there are flame and/or smog.The cloud platform 4 is used for
The position of the security protection camera in alarm signal is indicated in dummy model to indicate to occur fire, and utilizes augmented reality
The image superposition that flame and/or smog will be present occurs in dummy model in the front region of fire location, will be enhanced
Dummy model is transmitted to mobile terminal, and mobile terminal reminds responsible person concerned, follows up in time, fire is eliminated in initial conditions.Benefit
The position that client's fire occurs can be more intuitively informed with augmented reality, promote the usage experience of client.
As shown in Fig. 2, the present embodiment also provides a kind of flame smog recognition methods, identified using above-mentioned flame smog
System is realized, the described method comprises the following steps：
Image in front of step 101, the security protection camera taking lens and by the image transmitting shot to main control
Device；
Step 102, the master controller identify whether there is flame and/or cigarette in received image by image recognition technology
Mist enters step 103 identifying sometimes；
Step 103, the master controller search transmission in memory, and there are the security protection of flame and/or the image of smog camera shootings
Corresponding fire-fighting system simultaneously opens the fire-fighting system, while sending one there are flames containing the transmission found out from memory
And/or the alarm signal of the position of the security protection camera of the image of smog is to cloud platform；
Step 104, the cloud platform indicate the position of the security protection camera in alarm signal in dummy model with table
Show generation fire, and fire occurs in dummy model using the image superposition that flame and/or smog will be present in augmented reality
In the front region of calamity position, enhanced dummy model is transmitted to mobile terminal.
In step 103, the master controller is by neural network algorithm to the metamorphosis of flame, the flashing frequency of flame
Rate and flame Level building flame identification model and training, extract the flame when having identified flame by image recognition technology
Metamorphosis, flicker frequency and flame level characteristics substitute into flame identification model and accurately identify flame to realize.
In step 103, the master controller is by neural network algorithm to the shape of smog, the color of smog and smog
Texture establish smog identification model and training, extracted when identifying smog by image recognition technology the smog shape,
Color and textural characteristics, which substitute into smog identification model, accurately identifies smog to realize.
The present embodiment makes full use of the security protection camera blazoned in public places, increases fire detection ability, once occur
Fire alarm is abnormal, can be reported, and be pushed to responsible person concerned by mobile phone.It is compatible with existing equipment and existing system, it is public
The solution of place pure software altogether does not need to increase additional hardware, low in cost, is suitble to large-scale popularization.
Embodiment 2
In the present embodiment, the electronic map in the region is shown in the cloud platform 4, the cloud platform 4 is used in electricity
The position of the security protection camera in alarm signal is indicated on sub- map to indicate that fire occurs, and will be labeled with alarm signal
Electronic map is transmitted to mobile terminal 5.The position that client's fire occurs can be more intuitively informed using electronic map, promoted
The usage experience of client.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is by appended claims and its equivalent limits.
Claims (10)
1. a kind of flame smog identifying system, which is characterized in that it includes the peace of multiple different locations being installed in a region
Anti- camera, memory, master controller, cloud platform and mobile terminal, the memory are stored with one-to-one security protection camera shooting
The position of head and fire-fighting system and each security protection camera；
The security protection camera is for the image in front of taking lens and by the image transmitting shot to master controller；
The master controller is used to identify whether there is flame and/or smog in received image by image recognition technology, know
It Chu not search sometimes and transmit in memory there are the corresponding fire-fighting system of the security protection camera of flame and/or the image of smog and open
The fire-fighting system is opened, while there are the peaces of flame and/or the image of smog containing the transmission found out from memory for transmission one
The alarm signal of the position of anti-camera is to cloud platform；
The cloud platform is used to alarm signal being transmitted to mobile terminal.
2. flame smog identifying system according to claim 1, which is characterized in that show the region in the cloud platform
Dummy model, the alarm signal further includes the image there are flame and/or smog；
The cloud platform is used to indicate the position of the security protection camera in alarm signal in dummy model to indicate that fire occurs
Calamity, and fire location occurs in dummy model using the image superposition that flame and/or smog will be present in augmented reality
In front region, enhanced dummy model is transmitted to mobile terminal.
3. flame smog identifying system according to claim 1, which is characterized in that show the region in the cloud platform
Electronic map, the cloud platform is used to indicate the position of security protection camera in alarm signal on the electronic map to indicate
Fire occurs, and the electronic map for being labeled with alarm signal is transmitted to mobile terminal.
4. flame smog identifying system according to claim 1, which is characterized in that the master controller is for passing through nerve
Network algorithm leads to the metamorphosis of flame, the flicker frequency of flame and flame Level building flame identification model and training
The metamorphosis for extracting the flame when image recognition technology identifies flame, flicker frequency and flame level characteristics are crossed to substitute into
Flame is accurately identified in flame identification model to realize.
5. flame smog identifying system according to claim 1, which is characterized in that the master controller is for passing through nerve
Network algorithm establishes smog identification model and training to the texture of the shape of smog, the color of smog and smog, is known by image
Other technology extracts smog shape, color and textural characteristics when identifying smog substitutes into smog identification model to realize essence
Really identification smog.
6. a kind of flame smog recognition methods, which is characterized in that it is real using flame smog identifying system described in claim 1
It is existing, it the described method comprises the following steps：
Image in front of S1, the security protection camera taking lens and by the image transmitting shot to master controller；
S2, the master controller identify whether there is flame and/or smog in received image by image recognition technology, are identifying
Enter step S3 sometimes out；
S3, the master controller search transmission in memory, and there are the security protection camera of flame and/or the image of smog is corresponding
Fire-fighting system simultaneously opens the fire-fighting system, while containing the transmission found out from memory, there are flame and/or cigarettes for transmission one
The alarm signal of the position of the security protection camera of the image of mist is to cloud platform；
Alarm signal is transmitted to mobile terminal by S4, the cloud platform.
7. flame smog recognition methods according to claim 6, which is characterized in that show the region in the cloud platform
Dummy model, the alarm signal further includes the image there are flame and/or smog；
In step s 4, the cloud platform indicates the position of the security protection camera in alarm signal in dummy model to indicate
Fire occurs, and fire occurs in dummy model using the image superposition that flame and/or smog will be present in augmented reality
In the front region of position, enhanced dummy model is transmitted to mobile terminal.
8. flame smog recognition methods according to claim 6, which is characterized in that show the region in the cloud platform
Electronic map, in step s 4, the cloud platform indicates the position of the security protection camera in alarm signal on the electronic map
It sets to indicate that fire occurs, and the electronic map for being labeled with alarm signal is transmitted to mobile terminal.
9. flame smog recognition methods according to claim 6, which is characterized in that in step s3, the master controller
By neural network algorithm to the metamorphosis of flame, the flicker frequency of flame and flame Level building flame identification model simultaneously
Training, extracts metamorphosis, flicker frequency and the flame level of the flame when identifying flame by image recognition technology
Feature substitutes into flame identification model and accurately identifies flame to realize.
10. flame smog recognition methods according to claim 6, which is characterized in that in step s3, the master controller
Smog identification model and training are established by texture of the neural network algorithm to the shape of smog, the color of smog and smog, is led to
It crosses in shape, color and textural characteristics the substitution smog identification model for extracting the smog when image recognition technology identifies smog
Smog is accurately identified to realize.
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| CN201810960432.5A CN108831097A (en) | 2018-08-22 | 2018-08-22 | Flame smog identifying system and method |
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| CN201810960432.5A CN108831097A (en) | 2018-08-22 | 2018-08-22 | Flame smog identifying system and method |
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| CN110633675A (en) * | 2019-09-18 | 2019-12-31 | 东北大学 | System and method for identifying fire in video based on convolutional neural network |
| CN112070072A (en) * | 2020-11-11 | 2020-12-11 | 国网江苏省电力有限公司经济技术研究院 | Prefabricated cabin fire control system based on image recognition and control method thereof |
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Application publication date: 20181116 |
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| RJ01 | Rejection of invention patent application after publication |