CN106652302A - All-weather forest fire recognition technology based on binocular camera - Google Patents
All-weather forest fire recognition technology based on binocular camera Download PDFInfo
- Publication number
- CN106652302A CN106652302A CN201611216883.5A CN201611216883A CN106652302A CN 106652302 A CN106652302 A CN 106652302A CN 201611216883 A CN201611216883 A CN 201611216883A CN 106652302 A CN106652302 A CN 106652302A
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- module
- central processing
- forest
- processing module
- binocular camera
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Classifications
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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
- G08B17/005—Fire alarms; Alarms responsive to explosion for forest fires, e.g. detecting fires spread over a large or outdoors area
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Abstract
The invention discloses an all-weather forest fire recognition technology based on a binocular camera, and the technology employs an image collection module, an image analysis module, a first image detection module, a second image detection module, a central processing module, a wireless communication module, a data storage module, a voice alarm module, a flash lamp alarm module, a unit positioning module, a database module, and a mobile terminal. The technology employs the binocular camera to carry out the all-weather monitoring of a forest, is large in monitoring range, does not need patrol, facilitates the guaranteeing of the life safety of the people, can timely find out and process the fire at daytime and nighttime, effectively avoids the resource and property loss, is high in automation degree, and is wide in monitoring range.
Description
Technical field
The invention belongs to field of forest fire prevention, more particularly to a kind of round-the-clock forest rocket identification based on binocular camera
Technology.
Background technology
Forest fire is that more difficult natural calamity, the consequence for causing are succoured in a kind of sudden strong, destructive big, disposal
It is very serious, forest, forest ecosystem and the mankind is brought with certain harm and is lost.Have every year and die from forest fire
Personnel, prevention is only the working contents of forest fire protection, and burning things which may cause a fire disaster is the leading factor for causing forest fire, and artificial patrol relies on
Experimental check forest situation lacks scientific basis, it is difficult to real burning things which may cause a fire disaster is found, and potential burning things which may cause a fire disaster causes the change of environment
It is that people is imperceptible.Once catching fire, fire prevention personnel have little time escape will threaten to life security.
The content of the invention
It is an object of the invention to overcome the problem above that prior art is present, there is provided a kind of based on the complete of binocular camera
Weather forest rocket technology of identification, can carry out round-the-clock identification using binocular camera to forest rocket.
To realize above-mentioned technical purpose, above-mentioned technique effect is reached, the present invention is achieved through the following technical solutions：
A kind of round-the-clock forest rocket technology of identification based on binocular camera, including image capture module, graphical analysis
Module, the first image detection module, the second image detection module, central processing module, wireless communication module, data storage mould
Block, voice alarm module, flashing light alarm module, cell location module, DBM, mobile terminal；
Described image acquisition module is shot to forest whole day status information and photographing information is sent to central authorities' process
Module；
Described image analysis module is used for the photographing information received from central processing module and carries out process judgement, is formed
Day images information or evening images feedback of the information are to central processing module；
Described first image detection module is used for the day images information received from central processing module and carries out feature
Extract, and by the day images profile feedback after extraction to central processing module；
Second image detection module is used for the evening images information received from central processing module and carries out feature
Extract, and by the evening images profile feedback after extraction to central processing module；
The central processing module is used to process the photographing information of forest whole day status information；
The data memory module is used to store all of characteristics of image of forest whole day and feedback information and receive in
Centre processing module scheduling signals；
The voice alarm module is used for the audio alert signal received from central processing module and carries out Foreign Language sound
Report to the police；
The flashing light alarm module includes being distributed in forest each local flash lamp, for receive from central authorities process
The flash control signal of module simultaneously carries out external flashing light alarm；
The cell location module is distributed in each place of forest, for sending the geographical coordinate of position to centre
Reason module；
The wireless communication module is used for the two-way communication link set up between central processing module and DBM；
The DBM is stored to the photographing information of forest whole day status information；
The mobile terminal is used to receive the photographing information from wireless communication module.
Further, the mobile terminal includes display, and the display is in-car located at fire-fighting emergent.
Further, the wireless communication module is carried out data transmission by wireless Internet.
Further, described image acquisition module carries out data acquisition using binocular camera.
The invention has the beneficial effects as follows：
, by carrying out round-the-clock monitoring to forest using binocular camera, monitoring range is wide, it is not necessary to manually patrol for the present invention
The anti-life security for advantageously ensuring that the people, can in time find the condition of a fire and be processed at daytime or night, be prevented effectively from
Resource and property loss, high degree of automation, monitoring range is extensive.
Description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes the part of the application, this
Bright schematic description and description does not constitute inappropriate limitation of the present invention for explaining the present invention.In the accompanying drawings：
Fig. 1 is the system architecture diagram of the present invention.
Specific embodiment
Below with reference to the accompanying drawings and in conjunction with the embodiments describing the present invention in detail.
A kind of round-the-clock forest rocket technology of identification based on binocular camera as shown in Figure 1, including IMAQ mould
Block, image analysis module, the first image detection module, the second image detection module, central processing module, wireless communication module,
Data memory module, voice alarm module, flashing light alarm module, cell location module, DBM, mobile terminal；
Image capture module is shot to forest whole day status information and photographing information is sent to central processing module,
Image capture module carries out data acquisition using binocular camera；
Image analysis module is used for the photographing information received from central processing module and carries out process judgement, forms daytime
Image information or evening images feedback of the information are to central processing module；
First image detection module is used for the day images information received from central processing module and carries out feature extraction,
And by the day images profile feedback after extraction to central processing module；
Second image detection module is used for the evening images information received from central processing module and carries out feature extraction,
And by the evening images profile feedback after extraction to central processing module；
Central processing module is used to process the photographing information of forest whole day status information；
Data memory module is used to store all of characteristics of image of forest whole day and feedback information and receive from centre
Reason module schedules signal；
Voice alarm module is used for the audio alert signal received from central processing module and carries out Foreign Language sound warning；
Flashing light alarm module includes being distributed in forest each local flash lamp, for receive from central processing module
Flash control signal and carry out external flashing light alarm；
Cell location module is distributed in each place of forest, and the geographical coordinate for sending position processes mould to central authorities
Block；
Wireless communication module is used for the two-way communication link set up between central processing module and DBM, channel radio
News module is carried out data transmission by wireless Internet；
DBM is stored to the photographing information of forest whole day status information；
Mobile terminal is used to receive the photographing information from wireless communication module, and mobile terminal includes display, display
It is in-car located at fire-fighting emergent.
, by carrying out round-the-clock monitoring to forest using binocular camera, monitoring range is wide, it is not necessary to manually patrol for the present invention
The anti-life security for advantageously ensuring that the people, can in time find the condition of a fire and be processed at daytime or night, be prevented effectively from
Resource and property loss, high degree of automation, monitoring range is extensive.
General principle, principal character and the advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel it should be appreciated that the present invention is not restricted to the described embodiments, the simply explanation described in above-described embodiment and specification this
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes
Change and improvement is both fallen within scope of the claimed invention.
Claims (3)
1. a kind of round-the-clock forest rocket technology of identification based on binocular camera, it is characterised in that：Including image capture module,
Image analysis module, the first image detection module, the second image detection module, central processing module, wireless communication module, data
Memory module, voice alarm module, flashing light alarm module, cell location module, DBM, mobile terminal；
Described image acquisition module is shot to forest whole day status information and photographing information is sent to central processing module；
Described image analysis module is used for the photographing information received from central processing module and carries out process judgement, forms daytime
Image information or evening images feedback of the information are to central processing module；
Described first image detection module is used for the day images information received from central processing module and carries out feature extraction,
And by the day images profile feedback after extraction to central processing module；
Second image detection module is used for the evening images information received from central processing module and carries out feature extraction,
And by the evening images profile feedback after extraction to central processing module；
The central processing module is used to process the photographing information of forest whole day status information；
The data memory module is used to store all of characteristics of image of forest whole day and feedback information and receive from centre
Reason module schedules signal；
The voice alarm module is used for the audio alert signal received from central processing module and carries out Foreign Language sound warning；
The flashing light alarm module includes being distributed in forest each local flash lamp, for receive from central processing module
Flash control signal and carry out external flashing light alarm；
The cell location module is distributed in each place of forest, and the geographical coordinate for sending position processes mould to central authorities
Block；
The wireless communication module is used for the two-way communication link set up between central processing module and DBM；
The DBM is stored to the photographing information of forest whole day status information；
The mobile terminal is used to receive the photographing information from wireless communication module.
2. a kind of round-the-clock forest rocket technology of identification based on binocular camera according to claim 1, its feature exists
In：The mobile terminal includes display, and the display is in-car located at fire-fighting emergent.
3. a kind of round-the-clock forest rocket technology of identification based on binocular camera according to claim 1, its feature exists
In：The wireless communication module is carried out data transmission by wireless Internet.
A kind of round-the-clock forest rocket technology of identification based on binocular camera according to claim 1, it is characterised in that：
Described image acquisition module carries out data acquisition using binocular camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611216883.5A CN106652302A (en) | 2016-12-26 | 2016-12-26 | All-weather forest fire recognition technology based on binocular camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611216883.5A CN106652302A (en) | 2016-12-26 | 2016-12-26 | All-weather forest fire recognition technology based on binocular camera |
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| Publication Number | Publication Date |
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| CN106652302A true CN106652302A (en) | 2017-05-10 |
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|---|---|---|---|
| CN201611216883.5A Pending CN106652302A (en) | 2016-12-26 | 2016-12-26 | All-weather forest fire recognition technology based on binocular camera |
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| CN101587622A (en) * | 2009-06-18 | 2009-11-25 | 任芳 | Forest rocket detection and recognition methods and equipment based on video image intelligent analysis |
| CN101673448A (en) * | 2009-09-30 | 2010-03-17 | 青岛科恩锐通信息技术有限公司 | Method and system for detecting forest fire |
| CN202472850U (en) * | 2012-03-27 | 2012-10-03 | 浙江纳特智能网络工程有限公司 | Infrared-thermal-imaging type fire detection and alarm system |
| JP2013196655A (en) * | 2012-03-23 | 2013-09-30 | Hitachi Kokusai Electric Inc | Fire detection system and fire detection method |
| CN104599426A (en) * | 2013-11-01 | 2015-05-06 | 航天海鹰安全技术工程有限公司 | Forest fire prevention embedded control system |
| CN105046869A (en) * | 2015-07-06 | 2015-11-11 | 北京理工大学 | Forest fire prevention monitoring system based on double-wave-band fusion theory |
| CN105590401A (en) * | 2015-12-15 | 2016-05-18 | 天维尔信息科技股份有限公司 | Early-warning linkage method and system based on video images |
| CN105931409A (en) * | 2016-05-30 | 2016-09-07 | 重庆大学 | Infrared and visible light camera linkage-based forest fire monitoring method |
-
2016
- 2016-12-26 CN CN201611216883.5A patent/CN106652302A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090060260A1 (en) * | 2007-08-29 | 2009-03-05 | Billy Hou | Intelligent image smoke/flame sensor and detection system |
| CN101587622A (en) * | 2009-06-18 | 2009-11-25 | 任芳 | Forest rocket detection and recognition methods and equipment based on video image intelligent analysis |
| CN101673448A (en) * | 2009-09-30 | 2010-03-17 | 青岛科恩锐通信息技术有限公司 | Method and system for detecting forest fire |
| JP2013196655A (en) * | 2012-03-23 | 2013-09-30 | Hitachi Kokusai Electric Inc | Fire detection system and fire detection method |
| CN202472850U (en) * | 2012-03-27 | 2012-10-03 | 浙江纳特智能网络工程有限公司 | Infrared-thermal-imaging type fire detection and alarm system |
| CN104599426A (en) * | 2013-11-01 | 2015-05-06 | 航天海鹰安全技术工程有限公司 | Forest fire prevention embedded control system |
| CN105046869A (en) * | 2015-07-06 | 2015-11-11 | 北京理工大学 | Forest fire prevention monitoring system based on double-wave-band fusion theory |
| CN105590401A (en) * | 2015-12-15 | 2016-05-18 | 天维尔信息科技股份有限公司 | Early-warning linkage method and system based on video images |
| CN105931409A (en) * | 2016-05-30 | 2016-09-07 | 重庆大学 | Infrared and visible light camera linkage-based forest fire monitoring method |
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Application publication date: 20170510 |
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