CN110533874A - A kind of detection method and device of fire - Google Patents
A kind of detection method and device of fire Download PDFInfo
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- CN110533874A CN110533874A CN201910843192.5A CN201910843192A CN110533874A CN 110533874 A CN110533874 A CN 110533874A CN 201910843192 A CN201910843192 A CN 201910843192A CN 110533874 A CN110533874 A CN 110533874A
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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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Abstract
The present invention provides a kind of detection method and device of fire, and the detection method of the fire includes: that the monitoring grade of detection zone is corresponded to according to the set of frequency；Judge with the presence or absence of dynamic area in the detection video of high prewarning area, wherein the high prewarning area is the detection zone for monitoring grade and being greater than preset threshold；If there are the dynamic areas for the detection video of the high prewarning area, the jitter parameter of the dynamic area is obtained, wherein the jitter parameter includes number and bounce amplitude；If the jitter parameter meets default Fire Conditions, determine that fire occurs for the high prewarning area.The flexibility of detection can be improved in the detection method and device of fire of the invention.
Description
Technical field
The present invention relates to fire engineering fire alarm technical fields, more particularly to the detection method and dress of a kind of fire
It sets.
Background technique
With the development of science and technology and social economy, people increasingly pay attention to the awareness of safety of fire protection.If
Fire occurs, it is likely that will cause the damage of property substance or the loss of life, cause irremediable consequence.Therefore, how
Detection fire is particularly important in time, and especially for there are inflammable and explosive environment, such as oil depot etc., the detection of fire is aobvious
It obtains more urgent.
There are the higher detection zone of fire occurrence frequency and fire occurrence frequency are lower in fire detection environment at present
Detection zone, but identical detection method is all made of to these detection zones at present and is detected, namely can not be according to frequency
Height carries out hierarchical detection, causes the flexibility of existing detection method poor.
Summary of the invention
The embodiment of the present invention provides a kind of detection method and device of fire, can be improved the flexibility of detection.
To solve the above problems, technical solution provided by the invention is as follows:
The embodiment of the present invention provides a kind of detection method of fire comprising:
Obtain the frequency of the fire generation of each detection zone and the detection video of the detection zone；
The monitoring grade of detection zone is corresponded to according to the set of frequency；
Judge with the presence or absence of dynamic area in the detection video of high prewarning area, wherein the high prewarning area is monitoring etc.
Grade is greater than the detection zone of preset threshold；
If there are the dynamic areas for the detection video of the high prewarning area, the bounce ginseng of the dynamic area is obtained
Number, wherein the jitter parameter includes number and bounce amplitude；
If the jitter parameter meets default Fire Conditions, determine that fire occurs for the high prewarning area.
The embodiment of the present invention also provides a kind of detection device of fire comprising:
First obtains module, the detection view of frequency and the detection zone that the fire for obtaining each detection zone occurs
Frequently；
Grade setup module, for corresponding to the monitoring grade of detection zone according to the set of frequency；
Judgment module whether there is dynamic area in the detection video for judging high prewarning area, wherein described high pre-
Police region domain is the detection zone for monitoring grade and being greater than preset threshold；
Second obtains module, for obtaining institute when the detection video of the high prewarning area is there are when the dynamic area
The jitter parameter of dynamic area is stated, wherein the jitter parameter includes number and bounce amplitude；
Fire determination module, for determining the high prewarning area when the jitter parameter meets default Fire Conditions
Fire occurs.
Compared to the prior art, the detection method and device of the fire of the present embodiment, by the fire for obtaining each detection zone
The detection video of frequency and the detection zone that calamity occurs；The monitoring grade of detection zone is corresponded to according to the set of frequency；
Judge in the detection video of high prewarning area with the presence or absence of dynamic area；If described in the detection video of the high prewarning area exists
Dynamic area then obtains the jitter parameter of the dynamic area；If the jitter parameter meets default Fire Conditions, institute is determined
It states high prewarning area and fire occurs, it, can be to different monitoring grade due to the occurrence frequency setting monitoring grade according to fire
Detection zone take different fire detection methods, thus improve the flexibility of detection；Additionally due to the detection method mistake
Journey is simple, and the fire detection efficiency of frequency upper zone also can be improved, and then improves the efficiency of fire rescue.
Detailed description of the invention
Fig. 1 is the flow chart of the detection method for the fire that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of the detection method of fire provided by Embodiment 2 of the present invention；
Fig. 3 is the structural schematic diagram of the detection device for the fire that the embodiment of the present invention three provides.
Fig. 4 is the preferred structure schematic diagram of the detection device for the fire that the embodiment of the present invention three provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those skilled in the art's every other implementation obtained without creative efforts
Example, shall fall within the protection scope of the present invention.
Fig. 1 is please referred to, Fig. 1 is the flow chart of the detection method for the fire that the embodiment of the present invention one provides.
The detection method of the fire of this preferred embodiment, comprising:
Step S101 obtains the frequency of the fire generation of each detection zone and the detection video of the detection zone；
For example, the detection environment of fire includes multiple detection zones, the fire for being previously stored with multiple detection zones occurs
Frequency.In the detection process, the frequency of the fire generation of each detection zone and the detection video of each detection zone are obtained.The inspection
Surveying video may include multi frame detection image.
In one embodiment, each detection zone is equipped at least one long-range monitoring camera in advance, by long-range
The video in the real-time acquisition testing region of monitoring camera obtains detection video.Detecting environment can be the regions such as warehouse, oil depot.
The quantity of long-range monitoring camera is unlimited.
Step S102 corresponds to the monitoring grade of detection zone according to the set of frequency；
For example, the monitoring grade of each detection zone of set of frequency occurred according to the fire of each detection zone.
Wherein, the series of the more high corresponding monitoring grade of the frequency that fire occurs is higher.
Step S103 judges in the detection video of high prewarning area with the presence or absence of dynamic area；
For example, wherein the high prewarning area is the detection zone for monitoring grade and being greater than preset threshold, high precautionary areas is judged
S104 is thened follow the steps, if it does not exist dynamic area if there is dynamic area with the presence or absence of dynamic area in the detection video in domain
Domain, then return step S103.
The dynamic area can be understood as on-fixed region, also the as corresponding region of dynamic object, and dynamic object is such as
It can be also certainly mobile object etc. for flame or smog.It will be understood, default threshold is less than for monitoring grade
The detection zone of value can carry out the detection of fire using existing detection method, for example obtain the feature of these detection zones
Parameter, the characteristic parameter that will acquire are compared with parameter preset, if it does, then determining that fire occurs in corresponding detection zone
Calamity.
Step S104 obtains the dynamic area if there are the dynamic areas for the detection video of the high prewarning area
The jitter parameter in domain；
For example, in one embodiment, wherein the jitter parameter includes number and bounce amplitude, described in judgement
The detection video of high prewarning area then obtains each frame figure that first frame is later in detection video there are when the dynamic area respectively
Change frequency of the coordinate at the edge of the dynamic area of picture relative to the coordinate at the edge of the dynamic area of first frame image
And the variable quantity of edge coordinate, the summation of these available change frequencies and the summation of variable quantity, to be beated
Parameter.
Certainly, the average of these change frequencies and the average of variable quantity can also be obtained, to obtain jitter parameter.
The acquisition modes of jitter parameter are not limited to mode listed above.
It should be understood that when the dynamic area is not present in the detection video of the high prewarning area, return step
S103。
Step S105 determines that fire occurs for the high prewarning area if the jitter parameter meets default Fire Conditions.
For example, judging whether jitter parameter is located in parameter preset interval range, if it is, determining that jitter parameter meets
Default Fire Conditions.When determining that jitter parameter meets default Fire Conditions, then fire namely corresponding dynamic occurs for high prewarning area
State region is flame or smog.It should be understood that when determining that jitter parameter is unsatisfactory for default Fire Conditions, then described in judgement
Fire does not occur for high prewarning area namely the dynamic area is not flame or smog.
The detection method of the fire of the present embodiment, the frequency and the detection that the fire by obtaining each detection zone occurs
The detection video in region；The monitoring grade of detection zone is corresponded to according to the set of frequency；Judge the detection view of high prewarning area
It whether there is dynamic area in frequency；If there are the dynamic areas for the detection video of the high prewarning area, obtain described dynamic
The jitter parameter in state region；If the jitter parameter meets default Fire Conditions, determine that fire occurs for the high prewarning area,
Due to the occurrence frequency setting monitoring grade according to fire, different fire can be taken the detection zone of different monitoring grade
Calamity detection method, thus the flexibility of detection is improved, additionally due to the detection method process is simple, it is higher that frequency also can be improved
The fire detection efficiency in region, and then improve the efficiency of fire rescue.
Referring to figure 2., Fig. 2 is the flow chart of the detection method of fire provided by Embodiment 2 of the present invention.
The detection method of the fire of this preferred embodiment, comprising:
Step S201 obtains the frequency of the fire generation of each detection zone and the detection video of the detection zone；
For example, the detection environment of fire includes multiple detection zones, the fire for being previously stored with multiple detection zones occurs
Frequency.In the detection process, the frequency of the fire generation of each detection zone and the detection video of each detection zone are obtained.The inspection
Surveying video may include multi frame detection image.
In one embodiment, each detection zone is equipped at least one long-range monitoring camera in advance, by long-range
The image in the real-time acquisition testing region of monitoring camera obtains detection video.Detecting environment can be the regions such as warehouse, oil depot.
The quantity of long-range monitoring camera is unlimited.
Step S202 obtains the temperature of the detection zone；
For example, in one embodiment, temperature sensor can be arranged in each detection zone.It is examined by temperature sensor
Survey the temperature of each detection zone.
Step S203 corresponds to the monitoring grade of detection zone according to the temperature and the set of frequency.
For example, the monitoring etc. of each detection zone is respectively set in the frequency and temperature that are occurred according to the fire of each detection zone
Grade.
Wherein, in order to improve treatment effeciency, step S203 namely described according to the temperature and the set of frequency pair
The step of answering the monitoring grade of detection zone include:
(1) initial grade corresponding with the frequency is obtained；
For example, searching initial grade corresponding with each frequency by lookup table mode.
(2) compensation factor is generated according to the temperature；
Wherein, in one embodiment, a compensation factor is generated according to the difference between the temperature and preset temperature.It should
Preset temperature can be arranged based on experience value.For example difference between the temperature and preset temperature is obtained, it is raw according to the difference
At compensation factor, wherein difference is bigger, and the value of compensation factor is bigger.
In another embodiment, compensation factor corresponding with the temperature can also be searched by lookup table mode.
It will of course be understood that, the acquisition pattern of compensation factor is not limited to mode enumerated above.
(3) initial grade is compensated according to the compensation factor, obtains monitoring grade.
For example, in one embodiment, initial grade can be equal to multiplied by the compensation factor, obtain final monitoring etc.
Grade.It will be understood, the acquisition modes for monitoring grade are without being limited thereto.
For example, in one embodiment, the initial grade of detection zone A is 3, the initial grade of detection zone B is 2, inspection
The compensation factor for surveying region A is 1.5, and the compensation factor of detection zone B is 1, then the A monitoring grade of detection zone is 4.5, detection
The monitoring grade of region B is 2.
Step S204 judges in the detection video of high prewarning area with the presence or absence of dynamic area；
For example, wherein the high prewarning area is the detection zone for monitoring grade and being greater than preset threshold, with preset threshold for 2
For, it is 4.5 since then the A of detection zone monitors grade, the monitoring grade of detection zone B is 2, therefore the A of detection zone is
High prewarning area, detection zone B are non-high prewarning area.
Judge then to execute step if there is dynamic area with the presence or absence of dynamic area in the detection video of high prewarning area
Rapid S204, if it does not exist dynamic area, then return step S203.
The dynamic area can be understood as on-fixed region, also the as corresponding region of dynamic object, and dynamic object is such as
It can be also certainly mobile animal etc. for flame or smog.It will be understood, default threshold is less than for monitoring grade
The detection zone of value can carry out the detection of fire using existing detection method, for example obtain the feature of these detection zones
Parameter, the characteristic parameter that will acquire are compared with parameter preset, if it does, then determining that fire occurs in corresponding detection zone
Calamity.
Wherein with the presence or absence of dynamic area in the detection video of above-mentioned steps S204 namely the high prewarning area of judgement
Step includes:
Step S2041, identify that each frame image whether there is diff area in the detection video of high prewarning area；
For example, identifying that each frame image whether there is diff area in the detection video of high prewarning area, namely whether there is
The different region of preset reference image.
Step S2042, diff area if it exists, judges whether the diff area meets default dynamic condition；
For example, the default dynamic condition for characterize the diff area be it is revocable, that is to say dynamic change.If
In the detection video of high prewarning area there is the region with preset reference image difference in each frame image, then judges the diff area
Whether at least shape of regional area and position changes.If so, thening follow the steps S2043.Otherwise, return step
S2042。
If step S2043, the described diff area meets the default dynamic condition, the detection of high prewarning area is determined
There are dynamic areas in video.
For example, determining high precautionary areas if the shape of at least regional area of the diff area and position change
There are dynamic areas in the detection video in domain.
Step S205 obtains the dynamic area if there are the dynamic areas for the detection video of the high prewarning area
The jitter parameter in domain；
For example, in one embodiment, wherein the jitter parameter includes number and bounce amplitude, described in judgement
The detection video of high prewarning area then obtains each frame figure that first frame is later in detection video there are when the dynamic area respectively
Change frequency of the coordinate at the edge of the dynamic area of picture relative to the coordinate at the edge of the dynamic area of first frame image
And the variable quantity of edge coordinate, the summation of these available change frequencies and the summation of variable quantity, to be beated
Parameter.
Certainly, the average of these change frequencies and the average of variable quantity can also be obtained, to obtain jitter parameter.
The acquisition modes of jitter parameter are not limited to mode listed above.
In order to improve treatment effeciency, the step of jitter parameter for obtaining the dynamic area, includes:
Step S2051 obtains the variation of the coordinate at the edge of dynamic area in adjacent two field pictures in the detection video
Number and variable quantity obtain multiple initial numbers and initial magnitude；
Step S2052 obtains the average value of multiple initial numbers, obtains the number；
Step S2053 obtains the average value of multiple initial magnitudes, obtains the bounce amplitude.
For example, including four frame detection images in detection video, the dynamic area of the image of first frame and the second frame is obtained respectively
The edge of the dynamic area of the changes in coordinates number at the edge in domain and the image of corresponding changes in coordinates amount, third frame and the 4th frame
Changes in coordinates number and corresponding changes in coordinates amount, calculate separately being averaged for changes in coordinates number and changes in coordinates amount later
Value successively obtains number and bounce amplitude.
It should be understood that when the dynamic area is not present in the detection video of the high prewarning area, return step
S204。
Step S206 determines that fire occurs for the high prewarning area if the jitter parameter meets default Fire Conditions.
For example, judging whether jitter parameter is located in parameter preset interval range, if it is, determining that jitter parameter meets
Default Fire Conditions.When determining that jitter parameter meets default Fire Conditions, then fire namely corresponding dynamic occurs for high prewarning area
State region is flame or smog.It should be understood that when determining that jitter parameter is unsatisfactory for default Fire Conditions, then described in judgement
Fire does not occur for high prewarning area namely the dynamic area is not flame or smog.
It is wherein, described that the step of whether jitter parameter meets default Fire Conditions judged can include:
Step S301, judges whether the number is located in the first preset range；
Step S302, judges whether the bounce amplitude is located in the second preset range；
Step S303, when the number is located in first preset range, and the bounce amplitude is located at second
When in preset range, then determine that the jitter parameter meets default Fire Conditions.
For example, judging whether jitter parameter is located in the first preset range, and whether the bounce amplitude is located at second in advance
If in range, if jitter parameter is located in the first preset range and bounce amplitude is located in the second preset range, determining institute
It states jitter parameter and meets default Fire Conditions.First preset range, the second preset range can be set based on experience value.
For example, when in the detection video for determining detection zone A there are dynamic area, and the dynamic area of detection zone A
Number be located in the first preset range and or bounce amplitude when being located in the second preset range, then determine detection zone A hair
It lights a fire calamity.
Certainly, the above method may also include that
Step S207 obtains the area increment rate of the dynamic area, determines fire size class according to the area increment rate.
For example, the area increment rate of the dynamic area is obtained, if area when determining that fire occurs for detection zone A
Increment rate is higher, then fire size class is bigger, so as to be rescued according to fire size class.
The detection method of the fire of this preferred embodiment, can also be according to detection zone on the basis of a upper embodiment
Temperature and the set of frequency correspond to the monitoring grade of detection zone, to improve the accuracy of monitoring grade.
Referring to figure 3., Fig. 3 is the structural schematic diagram of the detection device for the fire that the embodiment of the present invention three provides.
In conjunction with Fig. 3 and 4, the detection device 30 of the fire of this preferred embodiment includes: the first acquisition module 31, grade setting
Module 32, judgment module 33, second obtain module 34, fire determining module 35, furthermore may also include level determination module 36.
First obtains module 31, the detection of frequency and the detection zone that the fire for obtaining each detection zone occurs
Video；
Grade setup module 32, for corresponding to the monitoring grade of detection zone according to the set of frequency；
Judgment module 33 whether there is dynamic area in the detection video for judging high prewarning area, wherein the height
Prewarning area is the detection zone for monitoring grade and being greater than preset threshold；
Second obtains module 34, for obtaining when the detection video of the high prewarning area is there are when the dynamic area
The jitter parameter of the dynamic area, wherein the jitter parameter includes number and bounce amplitude；
Fire determining module 35, for determining the high precautionary areas when the jitter parameter meets default Fire Conditions
Fire occurs for domain.
In one embodiment, the grade setup module 32 includes: temperature acquiring unit 321 and level setting unit
322；
Temperature acquiring unit 321, for obtaining the temperature of the detection zone；
Level setting unit 322, for corresponding to the monitoring grade of detection zone according to the temperature and the set of frequency.
In one embodiment, the second acquisition module 34 is specifically used for:
Obtain the change frequency of the coordinate at the edge of dynamic area and variation in adjacent two field pictures in the detection video
Amount, obtains multiple initial numbers and initial magnitude；The average value for obtaining multiple initial numbers, obtains the number；
And the average value of multiple initial magnitudes is obtained, obtain the bounce amplitude.
The fire determining module 35, is specifically used for: judging whether the number is located in the first preset range；And
Judge whether the bounce amplitude is located in the second preset range；When the number is located in first preset range,
And the bounce amplitude then determines that the jitter parameter meets default Fire Conditions when being located in the second preset range.
Level determination module 36 is used to obtain the area increment rate of the dynamic area, is determined according to the area increment rate
Fire size class.
The detection device of the fire of the present embodiment, the frequency and the detection that the fire by obtaining each detection zone occurs
The detection video in region；The monitoring grade of detection zone is corresponded to according to the set of frequency；Judge the detection view of high prewarning area
It whether there is dynamic area in frequency；If there are the dynamic areas for the detection video of the high prewarning area, obtain described dynamic
The jitter parameter in state region；If the jitter parameter meets default Fire Conditions, determine that fire occurs for the high prewarning area,
Due to the occurrence frequency setting monitoring grade according to fire, different fire can be taken the detection zone of different monitoring grade
Calamity detection method, thus the flexibility of detection is improved, additionally due to the detection method process is simple, it is higher that frequency also can be improved
The fire detection efficiency in region, and then improve the efficiency of fire rescue.
The detection device and method of fire provided in an embodiment of the present invention belong to same design, the specific implementation of the device
Journey is detailed in the description in the above method, and details are not described herein again.
The detection method and device for being provided for the embodiments of the invention a kind of fire above are described in detail, herein
In apply that a specific example illustrates the principle and implementation of the invention, the explanation of above example is only intended to sides
Assistant solves method and its core concept of the invention；Meanwhile for those skilled in the art, according to the thought of the present invention, In
There will be changes in specific embodiment and application range, in conclusion the content of the present specification should not be construed as to this hair
Bright limitation.
Claims (10)
1. a kind of detection method of fire characterized by comprising
Obtain the frequency of the fire generation of each detection zone and the detection video of the detection zone；
The monitoring grade of detection zone is corresponded to according to the set of frequency；
Judge with the presence or absence of dynamic area in the detection video of high prewarning area, wherein the high prewarning area is that monitoring grade is big
In the detection zone of preset threshold；
If there are the dynamic areas for the detection video of the high prewarning area, the jitter parameter of the dynamic area is obtained,
Wherein the jitter parameter includes number and bounce amplitude；
If the jitter parameter meets default Fire Conditions, determine that fire occurs for the high prewarning area.
2. the detection method of fire according to claim 1, which is characterized in that described to be examined according to the set of frequency is corresponding
Survey region monitoring grade the step of include:
Obtain the temperature of the detection zone；
The monitoring grade of detection zone is corresponded to according to the temperature and the set of frequency.
3. the detection method of fire according to claim 1, which is characterized in that the bounce for obtaining the dynamic area
The step of parameter includes:
The change frequency and variable quantity for obtaining the coordinate at the edge of dynamic area in adjacent two field pictures in the detection video, obtain
To multiple initial numbers and initial magnitude；
The average value for obtaining multiple initial numbers, obtains number；
The average value for obtaining multiple initial magnitudes obtains bounce amplitude.
4. the detection method of fire according to claim 1, which is characterized in that described to judge whether the jitter parameter is full
The step of default Fire Conditions include: enough
Judge whether the number is located in the first preset range；
Judge whether the bounce amplitude is located in the second preset range；
When the number is located in first preset range, and the bounce amplitude is located in the second preset range,
Then determine that the jitter parameter meets default Fire Conditions.
5. the detection method of fire according to claim 1, which is characterized in that the method also includes:
The area increment rate for obtaining the dynamic area determines fire size class according to the area increment rate.
6. a kind of detection device of fire characterized by comprising
First obtains module, the detection video of frequency and the detection zone that the fire for obtaining each detection zone occurs；
Grade setup module, for corresponding to the monitoring grade of detection zone according to the set of frequency；
Judgment module whether there is dynamic area in the detection video for judging high prewarning area, wherein the high precautionary areas
Domain is the detection zone for monitoring grade and being greater than preset threshold；
Second obtains module, for when there are when the dynamic area, obtain described move for the detection video of the high prewarning area
The jitter parameter in state region, wherein the jitter parameter includes number and bounce amplitude；
Fire determination module, for when the jitter parameter meets default Fire Conditions, determining that the high prewarning area occurs
Fire.
7. the detection device of fire according to claim 6, which is characterized in that the grade setup module includes:
Temperature acquiring unit, for obtaining the temperature of the detection zone；
Level setting unit, for corresponding to the monitoring grade of detection zone according to the temperature and the set of frequency.
8. the detection device of fire according to claim 6, which is characterized in that the second acquisition module is specifically used for:
The change frequency and variable quantity for obtaining the coordinate at the edge of dynamic area in adjacent two field pictures in the detection video, obtain
To multiple initial numbers and initial magnitude；The average value for obtaining multiple initial numbers, obtains the number；It obtains more
The average value of a initial magnitude obtains the bounce amplitude.
9. the detection device of fire according to claim 6, which is characterized in that the fire determination module is specifically used for:
Judge whether the number is located in the first preset range；And judge whether the bounce amplitude is located at the second preset range
It is interior；When the number is located in first preset range, and the bounce amplitude is located in the second preset range, then
Determine that the jitter parameter meets default Fire Conditions.
10. the detection device of fire according to claim 6, which is characterized in that described device further include:
Level determination module determines fire according to the area increment rate for obtaining the area increment rate of the dynamic area
Grade.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111437545A (en) * | 2020-03-25 | 2020-07-24 | 深圳中电科瑞电力自动化有限公司 | Cable fire extinguishing method, apparatus, device and computer readable storage medium |
| CN111862508A (en) * | 2020-06-22 | 2020-10-30 | 深圳中兴网信科技有限公司 | Monitoring method, monitoring device and computer-readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1719481A (en) * | 2005-07-22 | 2006-01-11 | 公安部沈阳消防研究所 | Dual-band infrared flame detector and its detection method |
| US20060209184A1 (en) * | 2004-11-16 | 2006-09-21 | Chao-Ho Chen | Early fire detection method and system based on image processing |
| CN101316371A (en) * | 2007-05-31 | 2008-12-03 | 财团法人工业技术研究院 | Flame detection method and device |
| CN103324910A (en) * | 2013-05-06 | 2013-09-25 | 南京新奕天智能视频技术有限公司 | Fire alarming method based on video detection |
| CN105551168A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院遥感与数字地球研究所 | Method and system for remote sensing, monitoring and pre-warning of farmland fire |
| CN105825341A (en) * | 2016-03-18 | 2016-08-03 | 国家电网公司 | Transmission line forest fire risk analysis, prevention and control method |
| CN106650584A (en) * | 2016-09-29 | 2017-05-10 | 广东安居宝数码科技股份有限公司 | Fire flame detection method and system |
-
2019
- 2019-09-06 CN CN201910843192.5A patent/CN110533874A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060209184A1 (en) * | 2004-11-16 | 2006-09-21 | Chao-Ho Chen | Early fire detection method and system based on image processing |
| CN1719481A (en) * | 2005-07-22 | 2006-01-11 | 公安部沈阳消防研究所 | Dual-band infrared flame detector and its detection method |
| CN101316371A (en) * | 2007-05-31 | 2008-12-03 | 财团法人工业技术研究院 | Flame detection method and device |
| CN103324910A (en) * | 2013-05-06 | 2013-09-25 | 南京新奕天智能视频技术有限公司 | Fire alarming method based on video detection |
| CN105551168A (en) * | 2015-12-03 | 2016-05-04 | 中国科学院遥感与数字地球研究所 | Method and system for remote sensing, monitoring and pre-warning of farmland fire |
| CN105825341A (en) * | 2016-03-18 | 2016-08-03 | 国家电网公司 | Transmission line forest fire risk analysis, prevention and control method |
| CN106650584A (en) * | 2016-09-29 | 2017-05-10 | 广东安居宝数码科技股份有限公司 | Fire flame detection method and system |
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| CN111437545A (en) * | 2020-03-25 | 2020-07-24 | 深圳中电科瑞电力自动化有限公司 | Cable fire extinguishing method, apparatus, device and computer readable storage medium |
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