CN106887108A - Early warning interlock method and system based on thermal imaging - Google Patents
Early warning interlock method and system based on thermal imaging Download PDFInfo
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- 238000001931 thermography Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 33
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 36
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 239000000779 smoke Substances 0.000 claims description 58
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- 238000013459 approach Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000010259 detection of temperature stimulus Effects 0.000 description 2
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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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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention provides a kind of early warning interlock method based on thermal imaging, comprise the following steps：Judge whether the temperature value on Infrared Thermogram exceedes default temperature threshold, if so, then obtaining the collection point of Infrared Thermogram；Video image to including the off-note carries out specificity analysis, generates abnormal data value；Judge whether abnormal data value exceedes default alarm threshold, if so, then generating alarm signal and current alert information, sending personnel with the current alert information according to alarm signal sends instruction.Present invention also offers a kind of early warning linked system based on thermal imaging.Additionally, present invention also offers early warning linked system of the another kind based on video image.Early warning interlock method and system based on video image of the invention, automatic monitoring and automatic early-warning linkage are realized, so as to solve the problems, such as to fail to report, the performance of the early warning linked system based on video image is improve, improve efficiency of dealing with emergencies and dangerous situations, it is to avoid the generation of disaster.
Description
Technical field
The present invention relates to forest fire protection technical field, more particularly to a kind of early warning linkage side based on thermal imaging
Method and system.
Background technology
General forest fire protection monitoring technology is main based on video monitoring system, and video monitoring system is by collection
Video image is sent to Surveillance center, by being accomplished manually centralized watch.After the condition of a fire is found, by monitoring personnel
Alert is recorded by paper pen, while notifying that related responsibility personnel are carried out to the condition of a fire by modes such as phone or short messages
Disposal.But, aforesaid way has the disadvantage that：Firstth, personal monitoring's not only labor intensive, Er Qiejian
The condition of a fire in control video is difficult to be noticeable, and easily causes and fails to report；Secondth, after finding alert, monitoring personnel is needed
Related responsibility personnel are reinformed after thumbing address list, alert disposal efficiency is low, spreading for the condition of a fire may be caused to make
Into heavy losses.
The content of the invention
In view of the present situation of prior art, it is an object of the invention to provide a kind of early warning linkage based on thermal imaging
Method and system, the phenomenon such as can automatically monitor to avoid failing to report, can automatic early-warning to improve efficiency of dealing with emergencies and dangerous situations,
Avoid the generation of disaster.
To achieve the above object, the present invention is adopted the following technical scheme that：
A kind of early warning interlock method based on thermal imaging, comprises the following steps：
Receive the Infrared Thermogram from thermal camera；
Judge whether the temperature value on the Infrared Thermogram exceedes default temperature threshold, if so, then obtaining
The collection point of the Infrared Thermogram；
Obtain the raw video image in the collection point from visible photo detector；
Feature extraction is carried out to the raw video image to recognize off-note, acquisition includes the exception
The video image of feature, specificity analysis is carried out to the video image for including the off-note, generation
Abnormal data value；Wherein, the off-note includes flame characteristic and smoke characteristics；
Judge the abnormal data value whether exceed default alarm threshold, if so, then generation alarm signal with
And current alert information, personnel are sent with the current alert information according to the alarm signal and sends instruction；
If it is not, then continuing to judge whether the temperature value on Infrared Thermogram exceedes default temperature threshold.
Wherein in one embodiment, the flame characteristic includes size, fire area and the flame of fire point
Tendency；The smoke characteristics include the motion track of smog size, smoke region and smog.
Wherein in one embodiment, judge whether the abnormal data value exceedes the step of default alarm threshold
Suddenly also include：
Judge that the off-note is flame characteristic or smoke characteristics, if the off-note is flame characteristic
Then perform following steps：
Judge it is described fire point size whether exceed it is default fire point threshold value, the fire area area whether
Whether the rate of propagation more than preset area, and/or flame exceedes pre-set velocity, if so, then generation alarm letter
Number and current alert information；If it is not, then continuing to judge whether temperature value on Infrared Thermogram exceedes to preset
Temperature threshold；
Following steps are performed if the off-note is smoke characteristics：
Judge whether the smog size exceedes whether default smog threshold value, the area of the smoke region surpass
Whether the translational speed for crossing preset area and/or smog exceedes pre-set velocity, if so, then generation alarm signal with
And current alert information；If it is not, then continuing to judge whether the temperature value on Infrared Thermogram exceedes default temperature
Degree threshold value.
Wherein in one embodiment, when the off-note is flame characteristic, the abnormal data is judged
The step of whether value exceedes default alarm threshold also includes：
When the size of the fire point exceedes default fire point threshold value, judge whether the area of fire area exceedes
Preset area；
When the area for judging the fire area exceedes preset area, judge whether the rate of propagation of flame surpasses
Cross pre-set velocity；If so, then generating alarm signal and current alert information；If it is not, then continuing to judge red
Whether the temperature value on outer thermography exceedes default temperature threshold.
Wherein in one embodiment, when the off-note is smoke characteristics, the abnormal data is judged
The step of whether value exceedes default alarm threshold also includes：
When smog size exceedes default smog threshold value, judge whether the area of smoke region exceedes default face
Product；
When the area for judging the smoke region exceedes preset area, judge whether the translational speed of smog surpasses
Cross pre-set velocity；If so, then generating alarm signal and current alert information；If it is not, then continuing to judge red
Whether the temperature value on outer thermography exceedes default temperature threshold.
Wherein in one embodiment, also including automatic searching step：
According to the alarm signal and/or current alert information generation Trouble Report data；
According to the alarm signal and/or current alert information generation video recording control signal, the visible ray is controlled
Monitoring device is recorded a video to the collection point, and according to the video recording of the visible photo detector, generation record
As data storage；
The Trouble Report data, the video recording data storage are sent to database server.
Based on above-mentioned early warning interlock method, present invention also offers a kind of early warning linked system based on thermal imaging,
Including：
First image collection module, for receiving the Infrared Thermogram from thermal camera；
First judge module, for judging whether the temperature value on the Infrared Thermogram exceedes default temperature
Threshold value, if so, then obtaining the collection point of the Infrared Thermogram；
Second image collection module, regards from visible photo detector for obtaining in the original of the collection point
Frequency image；
Image pre-processing module, for carrying out feature extraction to recognize off-note to the raw video image,
Acquisition includes the video image of the off-note, to the video image for including the off-note
Specificity analysis is carried out, abnormal data value is generated；Wherein, the off-note includes that flame characteristic and smog are special
Levy；
Second judge module, for judging whether the abnormal data value exceedes default alarm threshold, if so,
Alarm signal and current alert information are then generated, is sent out with the current alert information according to the alarm signal
The person of making a gift to someone sends instruction；If it is not, then calling the first judge module.
It is present invention also offers a kind of early warning linked system based on thermal imaging including thermal camera, visible
Photo detector and the control tower being connected with the thermal camera, the visible photo detector；
The thermal camera is used to obtain the Infrared Thermogram in monitor area in real time, and by the infrared heat
As figure is sent to the control tower；
The visible photo detector is used to obtain the raw video image in the monitor area, and will be described
Raw video image is sent to the control tower；And
The control tower is used to, when the temperature value on Infrared Thermogram exceedes default temperature threshold, obtain
The collection point of Infrared Thermogram, and the visible photo detector are taken in the original video figure of the collection point
Picture, and image preprocessing is carried out to the raw video image to obtain abnormal data value, and when the exception
When data value exceedes default alarm threshold, alarm signal and current alert information are generated；According to the announcement
Alert signal and the current alert information send personnel sends instruction.
Wherein in one embodiment, the control tower includes：
Infrared temperature Analysis server, for judging it is default whether the temperature value on the Infrared Thermogram exceedes
Temperature threshold；
Video analytics server, for carrying out feature extraction to recognize according to the raw video image for receiving
Off-note, and specificity analysis is carried out for the first video image comprising off-note, generate abnormal data
Value；Wherein, the off-note includes flame characteristic and smoke characteristics；
Comparison means, for judging whether the abnormal data value exceedes default alarm threshold；
Display control unit, for show the raw video image, the Infrared Thermogram and it is described work as
Preceding alert information；And
Communicator, for receiving the Infrared Thermogram with the raw video image and the transmission announcement
Alert signal and current alert information.
Wherein in one embodiment, also including warning device and database server；
The warning device connects control tower, for sent according to the alarm signal for receiving voice signal and/
Or optical signal and/or electric signal；
The video monitoring device and the control tower are all connected with the database server, the number
It is used for store video images, current alert information and information of dealing with emergencies and dangerous situations according to storehouse server.
The beneficial effects of the invention are as follows：
Early warning interlock method and system based on thermal imaging of the invention, first by the temperature on Infrared Thermogram
Value is compared with default temperature threshold so that the early warning linked system can penetrate cloud etc. and find the condition of a fire,
Improve the detectivity of system；The raw video image at Infrared Thermogram collection point is pre-processed simultaneously
To obtain abnormal data value, and when abnormal data value is higher than default alarm threshold outputting alarm signal and
Current alert information, sends personnel and sends instruction to enter administrative staff's tune according to alarm signal and current alert information
Group, has been achieved in that automatic monitoring and automatic early-warning linkage, so as to solve the problems, such as to fail to report, improves
The performance of system.Meanwhile, monitoring personnel can rapidly make operational deployment according to alarm signal, so as to improve
Efficiency of dealing with emergencies and dangerous situations, it is to avoid the generation of disaster.
Brief description of the drawings
Fig. 1 is the flow chart of the embodiment of early warning interlock method one based on thermal imaging of the invention；
Fig. 2 is the structured flowchart that the early warning linkage system based on thermal imaging of the invention unifies embodiment；
Fig. 3 is the structured flowchart of another embodiment of early warning linked system based on thermal imaging of the invention.
Specific embodiment
In order that technical scheme is clearer, below in conjunction with accompanying drawing, to it is of the invention based on heat into
The early warning interlock method and system of picture are described in further detail.It should be appreciated that described herein specific
Embodiment is only used to explain that the present invention is not intended to limit the present invention.It should be noted that in the feelings not conflicted
Under condition, the feature in embodiment and embodiment in the application can be mutually combined.
The early warning interlock method based on thermal imaging provided in Fig. 1, can apply to one includes thermal camera
010th, in the system of control tower 020 and visible photo detector 050, wherein, thermal camera 010
And visible photo detector 050 is connected to control tower 020, connected mode can be that wireless network connects
Connect or cable network connection.
As shown in figure 1, the invention provides a kind of early warning interlock method based on thermal imaging, including following step
Suddenly：
First image acquisition step S100：Receive the Infrared Thermogram from thermal camera；Wherein, it is infrared
Video camera 010 is arranged in monitor area, infrared in the present embodiment for Real-time Collection Infrared Thermogram
Video camera realizes the detection of temperature value on Infrared Thermogram using fuzzy algorithmic approach.It can be seen that photo detector 050
It is placed in monitor area, for obtaining raw video image in real time, in the present embodiment, it is seen that photo detector
050 can use general video camera.
More preferably, thermal camera 010 and visible photo detector 050 are installed in rotatable head
On, so as to realize the monitoring of multi-angle.It should be understood that the infrared thermal imagery that thermal camera 010 is obtained
Figure is different from the raw video image that visible photo detector 050 is obtained, and Infrared Thermogram is not that human eye can be with
The visible images being immediately seen, but the thermal image of reflection Temperature Distribution, i.e., represent on Infrared Thermogram
It is the temperature value of regional or point.
First judges step S200：Judge whether the temperature value on Infrared Thermogram exceedes default temperature threshold,
If so, then explanation there may be disaster hidden-trouble, the collection point of Infrared Thermogram now should be in time obtained；If it is not,
Then return to step S100.In the present embodiment, if the temperature value that there is one or more points on Infrared Thermogram is big
In default temperature threshold or there is some region of temperature value more than default temperature threshold, then explanation is deposited
In disaster hidden-trouble, alarm signal and current alert information are generated, and letter will be alerted by communicator 021
Number and current alert information send to control tower 020.If on Infrared Thermogram temperature value a little it is equal
Less than default temperature threshold, then in normal condition.Wherein, the collection point of Infrared Thermogram refers to red
The spot for photography of outer thermography, further, the problems such as should also obtain the shooting time of the Infrared Thermogram.
Second image acquisition step S300：Obtain from visible photo detector 050 in the original of the collection point
Video image, to ensure the accuracy and reliability of early warning linkage, obtains visible photo detector 050 same
In the raw video image of the collection point in the range of one time.
Image preprocessing step S400：Raw video image is carried out feature extraction to recognize off-note, is obtained
The video image of off-note must be included, and specificity analysis is carried out for the video image comprising off-note,
Generation abnormal data value.In the present embodiment, feature extraction, feature recognition are carried out by raw video image
Deng image preprocessing process, so as to raw video image at least be divided according to the characteristics of image of raw video image
It is the video image of the video image comprising off-note and the video of the video image not comprising off-note
Image.So, by the classification to raw video image so that only need to be directed to the video comprising off-note
Image carries out specificity analysis, so that system has stronger being directed to the Treatment Analysis of raw video image
Property, the operand of system is reduced, so as to improve the arithmetic speed of system and the efficiency of image procossing.
Wherein, off-note includes smoke characteristics and flame characteristic.Further, flame characteristic includes fiery point
The feature such as size, fire area and flame tendency, smoke characteristics include smog size, smoke region with
And the feature such as the motion track of smog.Feature is carried out by off-notes such as flame characteristic and smoke characteristics
Extraction, specificity analysis, so as to fire and non-fire are timely recognized, so as to avoid the generation of dangerous situation.
And abnormal data value represents the quantized data of off-note, such as, and size, fire area and fire that fire is put
The quantized value of the features such as the motion track of flame tendency, smog size, smoke region and smog, for example hereafter
Flame data value and smoke data value, hereafter herewith solve.
In one embodiment of the invention, the step of image preprocessing also comprises the following steps：
For the Infrared Thermogram for obtaining carry out brightness and the control of contrast, the treatment of actual correction and
The treatment that pseudo-colours is described, generates the Infrared Thermogram for showing.Due to the various pieces of measured target
The thermal imagery distribution signal of infra-red radiation is very weak, lacks that level of visible images and third dimension, therefore need
Control, actual correction and pseudo-colours description of brightness of image and contrast etc. is carried out to thermal-induced imagery to process,
So that preprocessed acquisition video image can show in display control unit etc., to monitor people
Member can intuitively see the calorific value distribution in various pieces on display control unit.
Second judges step S500：Judge whether abnormal data value exceedes default alarm threshold, if so, then
Illustrate there is disaster hidden-trouble, so as to perform step S600：Generation alarm signal and current alert information, and
Personnel are sent according to alarm signal and current alert information and sends instruction, to dispose alert as soon as possible.If it is not,
Then explanation is in normal condition, returns to first and judges step S200.It should be understood that the application's is current
The alert information information such as including the scene of fire, the fire order of severity.
Specifically, second judges that step S500 also comprises the following steps：
Judge that off-note is flame characteristic or smoke characteristics, when off-note is flame characteristic, judge
Whether the flame data value generated according to the flame characteristic exceedes default first alarm threshold, if so, then saying
There is naked light in the region that the bright video image comprising off-note shows.Now, control tower generation is accused
Alert signal and current alert information.Meanwhile, control tower is sent out according to alarm signal with current alert information
The person of making a gift to someone sends instruction, for example, personal scheduling instruction is address of the control tower according to scheduler object
The instant communication informations such as phone, short message, video calling or wechat are sent to scheduler object etc. information, so that and
When the administrative staff that enters send.In so avoiding the problem failed to report, the efficiency dealt with emergencies and dangerous situations can be also improved, it is to avoid
The generation of disaster.If flame data value is less than default first alarm threshold, illustrate in normal
State, returns to first and judges step S200.
Additionally, when flame data value exceedes default first alarm threshold, control tower outputting alarm letter
Number and/or current alert information, for example, alarm signal can be exported to warning device, to realize sound/light report
It is alert；Current alert information output to display control unit etc., display control unit are shown current alert information
Show on the electronic map, to realize the remote monitor of the condition of a fire, so that monitoring personnel can be according to the announcement
Alert signal and current alert information examine condition of a fire situation.
The first alarm threshold herein can be according to the size of the fire point in flame characteristic, fire area and fire
The features such as flame tendency set corresponding threshold value.The flame data value generated according to flame characteristic in the present embodiment
In, flame characteristic can (i.e. fire spreads speed using the size of fire point, fire area and flame tendency
Spend with direction etc.) etc. the combination of one or more in feature.
In one embodiment of the invention, second judges that step S500 further includes following steps：
When fire point size exceed it is default fire point threshold value, fire area area exceed preset area, and/or
When the rate of propagation of flame exceedes pre-set velocity, then there is disaster hidden-trouble in explanation, generates alarm signal and works as
Preceding alert information, sends personnel and sends instruction, to be located in time according to alarm signal and current alert information
Put alert.Otherwise, then return to first and judge step S200.
In another embodiment of the invention, the spies such as size, fire area and the flame tendency put according to fire
The flame data value of the combination producing levied carries out the judgement of fire or non-fire.If for example, off-note is fire
During flame feature, first determine whether whether the size of fire point exceedes default fire point threshold value, if so, then further sentencing
Whether the area of disconnected fire area exceedes preset area；If it is not, then returning to first judges step S200.In the presence of
When the area in flame range domain exceedes preset area, then determine whether whether the rate of propagation of flame exceedes default speed
Degree；If the area of fire area is less than preset area, returns to first and judge step S200.When flame
When rate of propagation exceedes pre-set velocity, then there is disaster hidden-trouble in explanation, generation alarm signal is believed with current alert
Breath, and instruction is sent according to alarm signal and current alert information transmission personnel.If the rate of propagation of flame is small
In pre-set velocity, then return to first and judge step S200.
Can also further be expanded in the present embodiment, when the rate of propagation of flame exceedes appropriate level
During pre-set velocity, the order of severity of the corresponding different fire of pre-set velocity of wherein each rank, so as to obtain phase
The fire order of severity answered, and be recorded in current alert information.
Further, it is also possible to the feature such as rate of propagation of size, fire area and flame put according to fire and fire
Relation between calamity severity level sets up mapping table, when size, the ignition zone of the fire point for detecting
The numerical value such as the rate of propagation of domain and flame are located at when under corresponding fire severity level, then export corresponding
The fire order of severity, and be recorded in current alert information.
When off-note is smoke characteristics, judge whether the smoke data value generated according to the smoke characteristics surpasses
Default second alarm threshold is crossed, if so, fire is there occurs in then illustrating the region that the first video image shows,
Now, control tower generation alarm signal and current alert information.Meanwhile, control tower is according to announcement
Alert signal sends personnel and sends instruction with current alert information, for example, control tower can be right according to dispatching
The information such as the address of elephant send the instant messagings such as phone, short message, video calling or wechat to scheduler object,
Sent so as to timely enter administrative staff.In so avoiding the problem failed to report, the efficiency dealt with emergencies and dangerous situations is also improved,
Avoid the generation of disaster.If smoke data value is less than default second alarm threshold, illustrate to be in
Normal condition, returns to first and judges step S200.
Additionally, when smoke data value exceedes default second alarm threshold, control tower outputting alarm letter
Number and/or current alert information, for example, alarm signal can be exported to warning device 030, with realize sound/
Light alarm, by current alert information output to display control unit 025 etc., to realize the remote prison of the condition of a fire
Control so that monitoring personnel can examine condition of a fire situation according to the alarm signal and current alert information.
The second alarm threshold herein can be according to the smog size in smoke characteristics, smoke region and smog
The feature such as motion track set corresponding threshold value.The smog generated according to the smoke characteristics in the present embodiment
In data value, smoke characteristics can be using the motion track (smog of smog size, smoke region and smog
Translational speed, moving direction etc.) etc. the combination of one or more in feature.In the present embodiment, preset
The first alarm threshold can be with identical with default second alarm threshold, it is also possible to different, its specific value root
It is configured according to actual application environment etc..
In one embodiment of the invention, second judges that step S500 further includes following steps：
When smog size exceedes the area of default smog threshold value, smoke region more than preset area and/or smog
Translational speed when exceeding pre-set velocity, then there is disaster hidden-trouble in explanation, generation alarm signal and current alert
Feelings information, sends personnel and sends instruction according to alarm signal and current alert information, and police is put to be located in time
Feelings.Otherwise, then return to first and judge step S200.
In another embodiment of the invention, according to the motion track of smog size, smoke region and smog
Etc. the judgement that the smoke data value of the combination producing of feature carries out fire or non-fire.If for example, off-note
During for smoke characteristics, first determine whether whether smog size exceedes default smog threshold value, if so, then further
Judge whether the area of smoke region exceedes preset area；If it is not, then returning to first judges step S200.When
When the area of smoke region exceedes preset area, then determine whether whether the translational speed of smog exceedes and preset
Speed；If the area of smoke region is less than preset area, returns to first and judge step S200.Work as smog
Translational speed when exceeding pre-set velocity, then there is disaster hidden-trouble in explanation, generate alarm signal and current alert
Information, and instruction is sent according to alarm signal and current alert information transmission personnel.If the translational speed of smog
Less than pre-set velocity, then return to first and judge step S200.
Can also further be expanded in the present embodiment, when the translational speed of smog exceedes appropriate level
During pre-set velocity, the order of severity of the corresponding different fire of pre-set velocity of wherein each rank, so as to obtain phase
The fire order of severity answered, and be recorded in current alert information.
Further, it is also possible to feature and the fire such as translational speed of foundation smog size, smoke region and smog
Relation between severity level sets up mapping table, when the smog size, smoke region for detecting with
And the numerical value such as the translational speed of smog is located at when under corresponding fire severity level, then corresponding fire is exported
The calamity order of severity, and be recorded in current alert information.
In one embodiment of the invention, image preprocessing step also comprises the following steps：
Range searching is carried out on the first video image, and off-note bag is marked on the first video image
Identified areas containing off-note；
Specificity analysis is carried out to off-note in identified areas, the static characteristic and dynamic of off-note is obtained
Characteristic；The operand of system so can be further reduced, to improve the efficiency of image preprocessing.
Dynamic characteristic and/or static characteristic generation abnormal data value according to off-note, is used to judge whether to deposit
In disaster hidden-trouble.Wherein, the static characteristic of off-note can carry out characteristic by each frame video image
Analysis, the dynamic characteristic of off-note can carry out specificity analysis acquisition by multi-frame video image, to sentence
Development trend, the menace levels such as disconnected naked light/smog etc..For example, static characteristic can include smog size, cigarette
Fog-zone domain, size, the fire area of fire point etc., and dynamic characteristic can include flame tendency, fire area
Change, the change of the rate of propagation, smoke region of flame, the motion track of smog, translational speed etc..
As a further improvement, the second of the early warning linkage based on video image of the invention judges step
S500 also includes：
According to the brightness value of raw video image, judge that the time that raw video image shoots is daytime or evening
On, if the shooting time for judging raw video image is daytime, smog and naked light monitoring identification are carried out, hold
Row following steps：
Judge whether the flame data value generated according to flame characteristic exceedes default first alarm threshold and/or root
Whether the smoke data value generated according to smoke characteristics exceedes default second alarm threshold, if so, then performing step
Rapid S600, generates alarm signal and current alert information, is sent with current alert information according to alarm signal
Personnel send instruction.If it is not, i.e. when the flame data value generated according to flame characteristic is accused less than default first
When the smoke data value warned threshold value and formed according to smoke characteristics is less than default second alarm threshold, explanation is regarded
The scene that frequency image shows is in normal condition, then return to first and judge step S200.So so that this is pre-
Alert linked system can detect smog and naked light on daytime, to realize that automatic monitoring and intelligent early-warning link.
If the shooting time for judging raw video image is evening, naked light recognition detection is carried out, performed as follows
Step：
Judge whether the flame data value generated according to flame characteristic exceedes default first alarm threshold, if so,
Step S600 is then performed, alarm signal and current alert information is generated, according to alarm signal and current alert
Information sends personnel and sends instruction.If it is not, the flame data value i.e. according to flame characteristic generation is less than default
During the first alarm threshold, then illustrate that the scene that video image shows is in normal condition, return to first and judge step
Rapid S200.So so that the early warning linked system can round-the-clock detection naked light, to realize automatic monitoring
And intelligent early-warning linkage.
As a kind of embodiment, personnel are sent according to alarm signal and current alert information and sends instruction
Step includes:
Outputting alarm signal and current alert information；
The dispatch command that user makes according to alarm signal and current alert information is received, information of dealing with emergencies and dangerous situations is generated.
Wherein, information of dealing with emergencies and dangerous situations includes the address of scheduler object, the positional information of scheduler object and scheduler object
Etc. information.In the present embodiment, the alarm signal output that control tower 020 is generated, to realize sound
Light alarm；By current alert presentation of information on the electronic map on display control unit 025, so that
Monitoring personnel can timely obtain current alert information, so as to realize that early warning links, timely to carry out
Personnel send.
According to dealing with emergencies and dangerous situations acquisition of information scheduler object, and the information of dealing with emergencies and dangerous situations is converted into personnel and sends instruction and sends to adjusting
Degree object, to realize quickly disposing alert.In the present embodiment, personal scheduling instruction can be control tower
The information such as the address according to scheduler object send phone, short message, video calling or wechat to scheduler object
Deng instant communication information.
As a further improvement, the step of early warning interlock method of the invention is also recorded including alert：
Receive the alert result of scheduler object feedback；Wherein, alert result includes the treatment of alert
The information such as time, treatment effect.
Respectively according to the reception alarm signal, current alert information that receive, information of dealing with emergencies and dangerous situations and alert treatment knot
Really, archives storage data are generated.I.e. control tower can be according to the alarm signal generation alarm archives for receiving
Data, the current alert information received according to it generates alert data, while the information of dealing with emergencies and dangerous situations received according to it
Generation scheduling data etc., according to archives storage numbers such as its alert result generation alert disposal data for receiving
According to, and archives storage data are sent to database server, paper pen record is carried out from without monitoring personnel,
Further increase the intelligence degree of system.
Meanwhile, current alert information and information of dealing with emergencies and dangerous situations etc. are stored in database server, it is easy to each layer
Monitoring personnel is checked and played back, it is possible to study and judge generation visually by being analyzed to the file data for storing
Chart of change etc. studies and judges data, is easy to further make schedule etc..
Implementation of each embodiment only just for corresponding steps in illustrating is set forth above,
Then in the case where logic is not contradicted, above-mentioned each embodiment can be being mutually combined and form new
Technical scheme, and the new technical scheme is still in the open scope of this specific embodiment.
As a further improvement, also including automatic searching step：
According to alarm signal and/or current alert information generation Trouble Report data, and Trouble Report data are passed
Database server is delivered to, making further operation according to the Trouble Report so as to monitoring personnel arranges, together
When, also allow for realizing studying and judging the analysis of alert.Wherein, Trouble Report data include the occurrence cause of fire
And the data such as solution.
Meanwhile, according to alarm signal and/or current alert information generation video recording control signal, to control visible ray
Monitoring device is recorded a video；So, carried out by controlling the current alert position of visible photo detector 050 pair
Video recording, is easy to monitoring personnel that the hair of current alert information and alert can be obtained by visible ray monitoring image
Exhibition trend etc..Meanwhile, according to the video recording from visible photo detector 050, and generate video recording data storage；
It should be noted that in the present embodiment, the step of generation Trouble Report data and generation video recording data storage
Step does not have inevitable sequencing, can perform simultaneously.
Trouble Report data and video recording data storage are sent to database server.So, by that will supervise
The automatic searching data storage such as the visible light video image of measurement equipment collection and Trouble Report is in database service
On device, such that it is able to realize carrying out video recording the operations such as long-range playback, it is possible to by the archives number to storing
Study and judge visual icon of generation etc. and study and judge data according to being analyzed, be easy to further make schedule etc.,
So as to improve the utilization rate of video visible images.
Based on above-mentioned early warning interlock method, present invention also offers a kind of early warning linked system based on thermal imaging,
Including the first image collection module 100, the first judge module 200, the second image collection module 300, image
The judge module 500 of pretreatment module 400 and second.
Wherein, the first image collection module 100 is used to receive the Infrared Thermogram from thermal camera；The
Whether the temperature value that one judge module 200 is used to judge on Infrared Thermogram exceedes default temperature threshold, if
It is then to obtain the collection point of Infrared Thermogram；If it is not, then calling the first image collection module 100.Second figure
As acquisition module 300 is used to obtain the raw video image from visible photo detector in collection point；Image
Pretreatment module 400 is used to carry out raw video image feature extraction to recognize off-note, comprising
There is the video image of off-note, the video image to including off-note carries out specificity analysis, generate different
Regular data value；Wherein, off-note includes flame characteristic and smoke characteristics.
Whether second judge module 500 is used to judge abnormal data value more than default alarm threshold, if so,
Alarm signal and current alert information are then generated, sending personnel according to alarm signal and current alert information adjusts
Group's instruction；If it is not, then calling the first judge module 200.
First image collection module 100, the first judge module 200, the second image collection module 300, image
The first image that the judge module 500 of pretreatment module 400 and second is respectively used to perform in the above method is obtained
Take step S100, first judge step S200, the second image acquisition step S300, image preprocessing step
S400 and second judges step S500, and the specific implementation procedure of modules can be found in related description above.
In one embodiment of the present of invention, image pre-processing module 400 also includes following functional unit：
Carry out range searching to identify the police where off-note on the first video image according to off-note
The unit of feelings generation area；
Specificity analysis is carried out to off-note, static state of the off-note in the alert generation area is obtained special
The unit of property and dynamic characteristic；And
Dynamic characteristic and/or static characteristic according to off-note generate the unit of abnormal data value.
In one embodiment of the invention, image pre-processing module 400 also includes that Infrared Thermogram processes list
Unit, for carrying out brightness and the control of contrast, the treatment of actual correction for the Infrared Thermogram for obtaining
And the treatment that pseudo-colours is described, generate the Infrared Thermogram for showing.Due to each portion of measured target
The thermal imagery distribution signal of the infra-red radiation for dividing is very weak, lacks that level of visible images and third dimension, because
This needs to carry out thermal-induced imagery control, actual correction and pseudo-colours description of brightness of image and contrast etc.
Treatment, so that preprocessed acquisition video image can show in display control unit etc., so as to
Monitoring personnel can intuitively see the calorific value distribution in various pieces on display control unit.
As a further improvement, in one embodiment of the present of invention, the second judge module 500 also includes：
For judging that the off-note is flame characteristic or the first judging unit of smoke characteristics, if abnormal
It is characterized as that flame characteristic then performs following steps：
Whether the size for judging the fire point exceedes default fire point threshold value, the area of the fire area
Whether whether second judging unit of pre-set velocity is exceeded more than the rate of propagation of preset area, and/or flame,
If so, then generating alarm signal and current alert information；If it is not, then continuing to judge on Infrared Thermogram
Whether temperature value exceedes default temperature threshold.
Following steps are performed if the off-note is smoke characteristics：
For judging whether the smog size exceedes default smog threshold value, the area of the smoke region is
Whether the no translational speed more than preset area and/or smog exceedes the 3rd judging unit of pre-set velocity, if so,
Then generate alarm signal and current alert information；If it is not, then continuing to judge the temperature value on Infrared Thermogram
Whether default temperature threshold is exceeded.
In another embodiment of early warning linked system of the invention, when off-note is flame characteristic, the
Two judge modules also include：
Whether the size for judging fire point exceedes the first judging unit of default fire point threshold value, when the fire
When the size of point exceedes default fire point threshold value, whether the area for judging fire area exceedes preset area
The second judging unit；And when the area for judging the fire area exceedes preset area, for judging
Whether the rate of propagation of flame exceedes the 3rd judging unit of pre-set velocity；If so, then generation alarm signal with
And current alert information；If it is not, then continuing to judge whether the temperature value on Infrared Thermogram exceedes default temperature
Degree threshold value.
In another embodiment of early warning linked system of the invention, when off-note is flame characteristic, the
Two judge modules also include：
For judging whether smog size exceedes the 4th judging unit of default smog threshold value, when smog size
During more than default smog threshold value, whether the area for judging smoke region exceedes the 5th of preset area is sentenced
Disconnected unit；And when the area for judging the smoke region exceedes preset area, the shifting for judging smog
Whether dynamic speed exceedes the 6th judging unit of pre-set velocity；If so, then generation alarm signal and current police
Feelings information；If it is not, then continuing to judge whether the temperature value on Infrared Thermogram exceedes default temperature threshold.
In one of embodiment of the invention, the early warning linked system based on video image of the invention is also
Including scheduler module, for receiving the dispatch command that user makes according to alarm signal and current alert information,
Generate information of dealing with emergencies and dangerous situations；According to dealing with emergencies and dangerous situations acquisition of information scheduler object, and the information of dealing with emergencies and dangerous situations is converted into personnel and sends finger
Order is sent to scheduler object, to realize that personnel send.Scheduler module be used for perform it is above-mentioned according to alarm signal with
The step of current alert information is entered administrative staff and sent, its specific implementation procedure can be found in related description above.
In one of embodiment of the invention, the early warning linked system based on video image of the invention is also
Including alert logging modle, the alert result for receiving scheduler object feedback；And respectively according to reception
Reception alarm signal, current alert information, information of dealing with emergencies and dangerous situations and alert result, generate archives storage
Data；And archives storage data are sent to database server.Alert logging modle is used to perform above-mentioned police
Feelings recording step, its specific implementation procedure can be found in related description above.
Further, early warning linked system of the invention also includes automatic searching module, and automatic searching module is used
Above-mentioned automatic searching step is performed, its specific implementation procedure can be found in related description above.In the present embodiment,
Automatic searching module includes such as lower unit：
The first searching list for generating Trouble Report data according to the alarm signal and/or current alert information
Unit；
For according to the alarm signal and/or current alert information generation video recording control signal, control is described can
See that photo detector is recorded a video to the collection point, and according to the video recording of the visible photo detector, it is raw
Into the second searching unit of video recording data storage；And
Communication unit for Trouble Report data, video recording data storage to be sent to database server.
Through the above description of the embodiments, those skilled in the art can be understood that above-mentioned reality
Applying a method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hard
Part, but the former is more preferably implementation method in many cases.Based on such understanding, technical side of the invention
The part that case substantially contributes to prior art in other words can be embodied in the form of software product,
The computer software product be carried on a non-volatile computer readable storage medium (such as ROM, magnetic disc,
CD, server storage) in, including some instructions are used to so that a station terminal equipment (can be hand
Machine, computer, server, or network equipment etc.) perform each embodiment methods described flow of the invention
And system architecture.
Additionally, present invention also offers a kind of early warning linked system based on thermal imaging, including thermal camera
010th, visible photo detector 050 and control tower 020, thermal camera 010 and visible ray are supervised
Survey device 050 and be connected to control tower 020, connected mode can be wireless network connection or wired network
Network is connected.
Wherein, thermal camera 010 is arranged in monitored area, for obtaining Infrared Thermogram and will be infrared
Thermography is sent to control tower 020.In the present embodiment, thermal camera is realized infrared using fuzzy algorithmic approach
The detection of temperature value on thermography.It can be seen that photo detector 050 is also placed in monitor area, for obtaining in real time
Raw video image is taken, and raw video image is sent to command console.In the present embodiment, it is seen that light
Monitoring device 050 can use general video camera.Thermal camera 010 and visible photo detector 050
For realizing the step of above-mentioned image is obtained, for details, reference can be made to hereinbefore about the first image acquisition step and
The related description of the second image acquisition step.
Control tower 020 is used to, when the temperature value on Infrared Thermogram exceedes default temperature threshold, obtain
The collection point of Infrared Thermogram, and the visible photo detector are taken in the original video figure of the collection point
Picture, and image preprocessing is carried out to the raw video image to obtain abnormal data value, and when the exception
When data value exceedes default alarm threshold, alarm signal and current alert information are generated；According to the announcement
Alert signal and the current alert information send personnel sends instruction, to realize that personnel send.Command scheduling
Platform 020 is used to realize that above-mentioned first judges step S200, image preprocessing step S400 and the second judgement step
Rapid S500, for details, reference can be made to and hereinbefore judge step, image preprocessing step and the second judgement about first
The related description of step.
In one embodiment of the invention, control tower 020 further includes communicator 021, infrared
Temperature analysis server 022, video analytics server 023, comparison means 024 and display control unit 025.
Wherein, communicator 021 is used to receive the Infrared Thermogram with the raw video image and transmission institute
State alarm signal and current alert information.Video analytics server 023 is used for according to the original video figure for receiving
As carrying out feature extraction to recognize off-note, and spy is carried out for the first video image comprising off-note
Property analysis, generate abnormal data value；Wherein, the off-note includes flame characteristic and smoke characteristics.
Infrared temperature Analysis server 022 connects thermal camera 010, for judging the original comprising off-note
Whether the temperature value on the corresponding Infrared Thermogram of beginning video image exceedes default temperature threshold.If infrared heat
As the temperature value that there is one or more points on figure is more than default temperature threshold or there is some region of temperature
Angle value is more than default temperature threshold, then explanation has disaster hidden-trouble, generates alarm signal and current alert
Information, and sent to control tower 020 alarm signal and current alert information by communicator 021.
If on Infrared Thermogram temperature value a little be respectively less than default temperature threshold, in normal condition.
Infrared temperature Analysis server 022 is used to realize that above-mentioned first judges step S200, for details, reference can be made to hereinbefore
About the first related description for judging step.
Comparison means 024 is used to judge whether abnormal data value exceedes default alarm threshold to generate alarm letter
Number, if for example, the signal of the output of comparison means 024 is high level, specification exception data value is more than default
Alarm threshold, generate alarm signal and current alert information, and by communicator 021 by alert believe
Number send to warning device 030, current alert information is sent to display control platform 025.If comparison means
The signal of 024 output is low level, then specification exception data value is less than default warning value.Comparison means 024
For realizing above-mentioned judgement step, for details, reference can be made to hereinbefore about the second related description for judging step.
Display control unit 025 connects thermal camera 010, for showing the raw video image, described
Infrared Thermogram and the current alert information.In the present embodiment, display control unit 025 can also be real
The human-computer interaction functions such as existing user management, organization and administration, equipment control, inquiry.Wherein, user management work(
Increase, modification or setting of user's operating right of system user etc. can be used for；Organize for system group
Knit the operation such as increase or modification of structure；Equipment control is used to be managed each equipment in system；Depending on
Frequency monitoring function is used for the operation such as live preview, grabgraf or playback；Query function can be used for video recording inquiry with
And the function such as log query, log query is including alarm log, Operation Log and system journal etc..
In one embodiment of the invention, the early warning linked system also includes warning device 030 and database
Server 040.Wherein, the connection of warning device 030 control tower 020, for according to the alarm letter for receiving
Number send voice signal and/or optical signal and/or electric signal.In the present embodiment, warning device 030 includes being used for
The audible alarm units such as the buzzer of voice signal are sent, warning device 030 is also included for sending optical signal
The photoelectric alarm device such as signal lamp.
Thermal camera 010, visible photo detector 050, control tower 020 are all connected with database service
Device 040, database server 040 is used to store Infrared Thermogram, raw video image, current alert information
And information of dealing with emergencies and dangerous situations.So, by the storage to video image, the operation such as playback is convenient for, so as to carry
The utilization rate of monitor video high；On the other hand, the file data that can be stored according to database server enters
Row analysis is studied and judged, and is obtained visual chart etc. and is studied and judged data, is easy to the command scheduling arrangement of monitoring personnel.
Early warning interlock method and system based on thermal imaging of the invention, first by the temperature on Infrared Thermogram
Value is compared with default temperature threshold so that the early warning linked system can penetrate cloud etc. and find the condition of a fire,
Improve the detectivity of system；The raw video image at Infrared Thermogram collection point is pre-processed simultaneously
To obtain abnormal data value, and when abnormal data value is higher than default alarm threshold outputting alarm signal and
Current alert information, sends personnel and sends instruction to enter administrative staff's tune according to alarm signal and current alert information
Group, has been achieved in that automatic monitoring and automatic early-warning linkage, so as to solve the problems, such as to fail to report, improves
The performance of system.Meanwhile, monitoring personnel can rapidly make operational deployment according to alarm signal, so as to improve
Efficiency of dealing with emergencies and dangerous situations, it is to avoid the generation of disaster.
Embodiment described above only expresses several embodiments of the invention, and its description is more specific and detailed,
But therefore can not be interpreted as the limitation to the scope of the claims of the present invention.It should be pointed out that for this area
Those of ordinary skill for, without departing from the inventive concept of the premise, can also make it is some deformation and
Improve, these belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be with appended
Claim is defined.
Claims (10)
1. a kind of early warning interlock method based on thermal imaging, it is characterised in that comprise the following steps：
Receive the Infrared Thermogram from thermal camera；
Judge whether the temperature value on the Infrared Thermogram exceedes default temperature threshold, if so, then obtaining
The collection point of the Infrared Thermogram；
Obtain the raw video image in the collection point from visible photo detector；
Feature extraction is carried out to the raw video image to recognize off-note, acquisition includes the exception
The video image of feature, specificity analysis is carried out to the video image for including the off-note, generation
Abnormal data value；Wherein, the off-note includes flame characteristic and smoke characteristics；
Judge the abnormal data value whether exceed default alarm threshold, if so, then generation alarm signal with
And current alert information, personnel are sent with the current alert information according to the alarm signal and sends instruction；
If it is not, then continuing to judge whether the temperature value on Infrared Thermogram exceedes default temperature threshold.
2. the early warning interlock method of thermal imaging according to claim 1, it is characterised in that the flame
Feature includes size, fire area and the flame tendency of fire point；The smoke characteristics include smog size,
Smoke region and the motion track of smog.
3. the early warning interlock method based on thermal imaging according to claim 2, it is characterised in that judge
The step of whether the abnormal data value exceedes default alarm threshold also includes：
Judge that the off-note is flame characteristic or smoke characteristics, if the off-note is flame characteristic
Then perform following steps：
Judge it is described fire point size whether exceed it is default fire point threshold value, the fire area area whether
Whether the rate of propagation more than preset area, and/or flame exceedes pre-set velocity, if so, then generation alarm letter
Number and current alert information；If it is not, then continuing to judge whether temperature value on Infrared Thermogram exceedes to preset
Temperature threshold；
Following steps are performed if the off-note is smoke characteristics：
Judge whether the smog size exceedes whether default smog threshold value, the area of the smoke region surpass
Whether the translational speed for crossing preset area, and/or smog exceedes pre-set velocity, if so, then generating alarm signal
And current alert information；If it is not, then continuing to judge temperature value on Infrared Thermogram whether more than default
Temperature threshold.
4. the early warning interlock method based on thermal imaging according to claim 2, it is characterised in that work as institute
When stating off-note for flame characteristic, judge whether the abnormal data value exceedes the step of default alarm threshold
Suddenly also include：
When the size of the fire point exceedes default fire point threshold value, judge whether the area of fire area exceedes
Preset area；
When the area for judging the fire area exceedes preset area, judge whether the rate of propagation of flame surpasses
Cross pre-set velocity；If so, then generating alarm signal and current alert information；If it is not, then continuing to judge red
Whether the temperature value on outer thermography exceedes default temperature threshold.
5. the early warning interlock method based on thermal imaging according to claim 1, it is characterised in that work as institute
When stating off-note for smoke characteristics, judge whether the abnormal data value exceedes the step of default alarm threshold
Suddenly also include：
When smog size exceedes default smog threshold value, judge whether the area of smoke region exceedes default face
Product；
When the area for judging the smoke region exceedes preset area, judge whether the translational speed of smog surpasses
Cross pre-set velocity；If so, then generating alarm signal and current alert information；If it is not, then continuing to judge red
Whether the temperature value on outer thermography exceedes default temperature threshold.
6. the early warning interlock method based on thermal imaging according to claim 1-5 any one claims,
Characterized in that, also including automatic searching step：
According to the alarm signal and/or current alert information generation Trouble Report data；
According to the alarm signal and/or current alert information generation video recording control signal, the visible ray is controlled
Monitoring device is recorded a video to the collection point, and according to the video recording of the visible photo detector, generation record
As data storage；
The Trouble Report data, the video recording data storage are sent to database server.
7. a kind of early warning linked system based on thermal imaging, it is characterised in that including：
First image collection module, for receiving the Infrared Thermogram from thermal camera；
First judge module, for judging whether the temperature value on the Infrared Thermogram exceedes default temperature
Threshold value, if so, then obtaining the collection point of the Infrared Thermogram；
Second image collection module, regards from visible photo detector for obtaining in the original of the collection point
Frequency image；
Image pre-processing module, for carrying out feature extraction to recognize off-note to the raw video image,
Acquisition includes the video image of the off-note, to the video image for including the off-note
Specificity analysis is carried out, abnormal data value is generated；Wherein, the off-note includes that flame characteristic and smog are special
Levy；
Second judge module, for judging whether the abnormal data value exceedes default alarm threshold, if so,
Alarm signal and current alert information are then generated, is sent out with the current alert information according to the alarm signal
The person of making a gift to someone sends instruction；If it is not, then calling the first judge module.
8. a kind of early warning linked system based on thermal imaging, it is characterised in that including thermal camera, visible
Photo detector and the control tower being connected with the thermal camera, the visible photo detector；
The thermal camera is used to obtain the Infrared Thermogram in monitor area in real time, and by the infrared heat
As figure is sent to the control tower；
The visible photo detector is used to obtain the raw video image in the monitor area, and will be described
Raw video image is sent to the control tower；And
The control tower is used to, when the temperature value on Infrared Thermogram exceedes default temperature threshold, obtain
The collection point of Infrared Thermogram, and the visible photo detector are taken in the original video figure of the collection point
Picture, and image preprocessing is carried out to the raw video image to obtain abnormal data value, and when the exception
When data value exceedes default alarm threshold, alarm signal and current alert information are generated；According to the announcement
Alert signal and the current alert information send personnel sends instruction.
9. the early warning linked system based on thermal imaging according to claim 8, it is characterised in that described
Control tower includes：
Infrared temperature Analysis server, for judging it is default whether the temperature value on the Infrared Thermogram exceedes
Temperature threshold；
Video analytics server, for carrying out feature extraction to recognize according to the raw video image for receiving
Off-note, and specificity analysis is carried out for the first video image comprising off-note, generate abnormal data
Value；Wherein, the off-note includes flame characteristic and smoke characteristics；
Comparison means, for judging whether the abnormal data value exceedes default alarm threshold；
Display control unit, for show the raw video image, the Infrared Thermogram and it is described work as
Preceding alert information；And
Communicator, for receiving the Infrared Thermogram with the raw video image and the transmission announcement
Alert signal and current alert information.
10. the early warning linked system based on thermal imaging according to claim 8, it is characterised in that also
Including warning device and database server；
The warning device connects control tower, for sent according to the alarm signal for receiving voice signal and/
Or optical signal and/or electric signal；
The video monitoring device and the control tower are all connected with the database server, the number
It is used for store video images, current alert information and information of dealing with emergencies and dangerous situations according to storehouse server.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4777928A (en) * | 1986-07-25 | 1988-10-18 | Robert Ellis | Efficient, pollution free, woodburning furnace |
| US20090266567A1 (en) * | 2008-04-29 | 2009-10-29 | Musser Jr John E | Fire suppression device |
| CN102693603A (en) * | 2012-06-26 | 2012-09-26 | 山东神戎电子股份有限公司 | Dual spectrum based intelligent monitoring system for forest fire prevention |
| CN102930686A (en) * | 2012-11-29 | 2013-02-13 | 东莞市雷恩电子科技有限公司 | Security system for fire prevention and fire detection method |
| CN102930685A (en) * | 2012-11-22 | 2013-02-13 | 东莞市雷恩电子科技有限公司 | Security system for preventing fire and fire detecting method |
| CN103021115A (en) * | 2012-12-10 | 2013-04-03 | 深圳市广和通实业发展有限公司 | Fire monitoring system |
| KR20130101873A (en) * | 2012-03-06 | 2013-09-16 | (주)유디피 | Monitoring apparatus for forest fire using thermal camera and method thereof |
| CN104143248A (en) * | 2014-08-01 | 2014-11-12 | 江苏恒创软件有限公司 | Forest fire detection, prevention and control method based on unmanned aerial vehicle |
| CN104299351A (en) * | 2014-10-22 | 2015-01-21 | 常州大学 | Intelligent early warning and fire extinguishing robot |
| CN104581076A (en) * | 2015-01-14 | 2015-04-29 | 国网四川省电力公司电力科学研究院 | Mountain fire monitoring and recognizing method and device based on 360-degree panoramic infrared fisheye camera |
| CN104867265A (en) * | 2015-04-22 | 2015-08-26 | 深圳市佳信捷技术股份有限公司 | Camera apparatus, and fire detection alarm system and method |
| CN204706130U (en) * | 2015-04-22 | 2015-10-14 | 深圳市佳信捷技术股份有限公司 | Camera head and fire detection warning system |
-
2015
- 2015-12-16 CN CN201510953649.XA patent/CN106887108A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4777928A (en) * | 1986-07-25 | 1988-10-18 | Robert Ellis | Efficient, pollution free, woodburning furnace |
| US20090266567A1 (en) * | 2008-04-29 | 2009-10-29 | Musser Jr John E | Fire suppression device |
| KR20130101873A (en) * | 2012-03-06 | 2013-09-16 | (주)유디피 | Monitoring apparatus for forest fire using thermal camera and method thereof |
| CN102693603A (en) * | 2012-06-26 | 2012-09-26 | 山东神戎电子股份有限公司 | Dual spectrum based intelligent monitoring system for forest fire prevention |
| CN102930685A (en) * | 2012-11-22 | 2013-02-13 | 东莞市雷恩电子科技有限公司 | Security system for preventing fire and fire detecting method |
| CN102930686A (en) * | 2012-11-29 | 2013-02-13 | 东莞市雷恩电子科技有限公司 | Security system for fire prevention and fire detection method |
| CN103021115A (en) * | 2012-12-10 | 2013-04-03 | 深圳市广和通实业发展有限公司 | Fire monitoring system |
| CN104143248A (en) * | 2014-08-01 | 2014-11-12 | 江苏恒创软件有限公司 | Forest fire detection, prevention and control method based on unmanned aerial vehicle |
| CN104299351A (en) * | 2014-10-22 | 2015-01-21 | 常州大学 | Intelligent early warning and fire extinguishing robot |
| CN104581076A (en) * | 2015-01-14 | 2015-04-29 | 国网四川省电力公司电力科学研究院 | Mountain fire monitoring and recognizing method and device based on 360-degree panoramic infrared fisheye camera |
| CN104867265A (en) * | 2015-04-22 | 2015-08-26 | 深圳市佳信捷技术股份有限公司 | Camera apparatus, and fire detection alarm system and method |
| CN204706130U (en) * | 2015-04-22 | 2015-10-14 | 深圳市佳信捷技术股份有限公司 | Camera head and fire detection warning system |
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| CN111899458A (en) * | 2020-07-27 | 2020-11-06 | 山东工商学院 | Artificial intelligence-based fire smoke image identification method |
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