CN107169966A - A kind of transmission line forest fire discrimination method based on Temperature Distribution - Google Patents
A kind of transmission line forest fire discrimination method based on Temperature Distribution Download PDFInfo
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Abstract
The invention discloses a kind of transmission line forest fire discrimination method based on Temperature Distribution, comprise the steps：1), the pretreatment of mountain fire monitoring image and color mode conversion；2), based on sentencing at the beginning of the flame of color characteristic；3), the mountain fire feature extraction based on color characteristic difference；4), the mountain fire identification based on Temperature Distribution.The transmission line forest fire discrimination method that the present invention is provided, by the inhomogeneities for considering flame region Temperature Distribution, mountain fire region in image can effectively be recognized, and can effectively exclude the disturbing factors such as sunshine, car light, it is this method clear thinking, easy to operate, practical, it can be widely applied to transmission line forest fire monitoring alarm field.
Description
Technical field
The invention belongs to electric power project engineering field, and in particular to a kind of transmission line forest fire identification based on Temperature Distribution
Method.
Background technology
With the continuous expansion of extra high voltage line and interregional grid scale, increasing transmission line of electricity is through lofty mountains and steep hills
Area, when experience continues drying out weather, easily breaks out large area mountain fire.In recent years, China occurs more than 50,000 and plays mountain fire every year, makes somebody a mere figurehead
Large area mountain fire in power transmission line corridor, easily causes a plurality of line tripping, or even trigger bulk power grid collapse.
At present, the focus identification technology based on infrared image is widely applied in transmission line forest fire monitoring field.
Mountain fire identification technique based on Digital Image Processing, is pre-processed to the infrared image monitored, is analyzed, is recognized, can
As early as possible as early as possible accomplish the condition of a fire monitor, fire attack measure and hazards entropy are taken in time.However, by passway for transmitting electricity peripheral ring
The influence in border, atmospheric conditions and chaff interference, transmission line forest fire identification precision still has much room for improvement.Existing infrared thermal imaging mountain fire
Monitoring method is that infrared image is switched into the detection that pseudo-colours enters trip temperature, based on single temperature threshold or color characteristic
Sentence knowledge method, it is difficult to exclude the influence of a variety of disturbing factors such as high temp objects such as sunshine, car light and electric wire tower, make correct identification
Rate is substantially reduced；And the image Segmentation Technology based on maximum entropy or maximum between-cluster variance is computationally intensive, image processing time is long,
Mountain fire monitoring alarm precision and efficiency need further raising.
Therefore, it is necessary to provide a kind of precision and more efficient transmission line forest fire discrimination method.
The content of the invention
The technical problem to be solved in the present invention is, many, treated for disturbing factor in transmission line forest fire monitoring identification
The problems such as journey is complicated, to overcome the shortcomings of that prior art is present, proposes a kind of transmission line forest fire identification based on Temperature Distribution
Method, can effectively improve target area recognition efficiency and mountain fire alarm accuracy, to ensureing that power network safety operation has weight
Want meaning.
In order to solve the above technical problems, the present invention uses following technical scheme：
A kind of transmission line forest fire discrimination method based on Temperature Distribution, comprises the following steps：
Step 1, the transmission line forest fire to reception monitor video frame images, carry out image enhaucament and noise suppressed is located in advance
Reason, and pretreated image is converted into HIS patterns from RGB patterns；
Each pixel in step 2, the pretreated image of scanning, calculates the color component of itself RGB and HIS pattern
Value, to pretreated image split obtaining doubtful flame region according to color component value；
Step 3, the barycenter for calculating doubtful flame region, and calculate each pixel and barycenter in doubtful flame region and exist
Difference in tri- dimensions of HIS, obtains all pixels point color characteristic difference in doubtful flame region, then calculate its variance；
Step 4, record continuous multiple image, based on step 1~3 described in method, count doubtful fire in each two field picture
The variance of all pixels point color characteristic difference, asks for its average value in flame region, if average value is more than mountain fire decision threshold,
It is determined as mountain fire.
Further, in the step 1, image enhaucament is realized using the method for image Fourier transform；In 3 × 3
Value filtering method realizes image denoising, and the relevant treatment flow of the above method is prior art, be will not be repeated here.
Further, in the step 1, the calculation formula that image is converted into HIS patterns from RGB patterns is as follows：
Wherein, R, G and B are respectively the red, green and blue component of image, and H, I and S are respectively the form and aspect, bright of image
Brightness and saturation degree component；Because HIS patterns are that the mode based on mankind's perceived color is set up, come for the eyes of people
Say, what can be distinguished is the ratio in color category, saturation degree and intensity, rather than pattern shared by each primary colours, therefore more suitable
Close and extract image Flame characteristic information.
Further, in the step 2, after whether meeting mountain fire preliminary judgement condition to pretreatment according to color component value
Image split and obtain doubtful flame region；Wherein mountain fire preliminary judgement condition is：
Wherein, Ho、SoRespectively color component threshold value；By studying substantial amounts of flame video image and nonflame video
Image, is found in mountain fire combustion process, with respect to background area, and red component maximum, and color are met in flame region color component
Phase component value should be less than a certain threshold value.Meanwhile, it is that the further high bright light sources such as sunshine, light that exclude are disturbed, by flame
Found with each point of quantifier elimination under the pixel HIS patterns of sunlight, due to sunlight and the high brightness of flashlight white light, so its color
The value of color saturation degree is relatively low, therefore can introduce saturation degree decision condition to eliminate above-mentioned disturbing factor.Mountain fire will be met preliminary
The regional determination of decision condition is doubtful flame region.
Further, the HoValue be set as 60, SoValue be set as 30.
Further, in the step 3, the doubtful flame region being partitioned into is primarily based on, to the color of image slices vegetarian refreshments
Component is handled as follows：
Wherein, f (x, y) is the color component of coordinate (x, y) place pixel on image, f=H, I or S；
Then the center-of-mass coordinate of doubtful flame region is calculated according to below equation
Wherein, MijFor image f (x, y) i+j rank geometric moments.
Further, in the step 3, the face of each pixel in doubtful flame region is calculated according to below equation first
Color characteristic difference：
Then, the variance yields of the color characteristic difference of all pixels point in doubtful flame region is calculated.
Further, in the step 4, record the multiple image in continuous 1s, based on step 1~3 described in method, system
The variance of all pixels point color characteristic difference in doubtful flame region in each two field picture is counted, its average value is asked for, if average value
More than mountain fire decision threshold, then it is determined as mountain fire.
Further, in the step 4, mountain fire decision threshold is set as (10,10,20).
Further, in the step 4, if it is determined that being mountain fire, then warning information is provided.
The present invention principle be：
When mountain fire occurs, the centre of flame to the external temperature of flame is continuous elevated, and from outside to inside, color is suitable
Sequence is white, yellow, orange, red and dark red, and this variation characteristic is embodied in the regularity of distribution of the pixel in space of different colours, borrows
Target area can effectively be extracted by helping this method.Based on this, the present invention is from flame temperature field distribution characteristic, it is contemplated that mountain
Flame inside temperature is uneven when fire occurs, and, temperature change is larger during flame combustion from inside to outside, so pixel color point
It can be an apparent numerical value to measure variance yields.And such as sun, light, mangrove leaf disturbing factor it is luminous when color it is more steady
It is fixed, fluctuated substantially near an average value, so variance yields levels off to zero, accurate recognition is carried out to flame accordingly.
Compared with prior art, the advantage of the invention is that：Propose the transmission line forest fire identification based on Temperature Distribution
Method, the inhomogeneities of flame region interior temperature distribution when being occurred based on mountain fire, passes through the face to suspicious region boundary pixel
Color characteristic value does difference and variance calculating to show this temperature change with image centroid, can effectively recognize mountain fire area in image
Domain, and then judge whether mountain fire occurs, other disturbing factors influence such as sunshine, car light can be effectively eliminated, this method thinking is clear
Clear, easy to operate, accuracy is high, treatment effeciency is fast, practical, substantially increases the technological means that power network prevents and treats mountain fire, can
It is widely used in transmission line forest fire monitoring alarm field, it is to avoid the large area blackout caused by mountain fire trips.
Brief description of the drawings
Fig. 1 is that mountain fire of the embodiment of the present invention sentences knowledge flow chart.
Embodiment
1 couple of present invention is described in further detail below in conjunction with the accompanying drawings.The present invention is a kind of transmission of electricity based on Temperature Distribution
Circuit mountain fire discrimination method, implementing step is：
Step 1, the pretreatment of mountain fire monitoring image；
Infrared image is monitored to the transmission line forest fire of reception, realized using the method for image Fourier transform to image
Enhancing is handled, and image is carried out using 3 × 3 median filtering methods to go dry processing, the relevant treatment flow of the above method is existing skill
Art, will not be repeated here.Meanwhile, for the monitoring image after above-mentioned processing, color of image pattern is converted into by RGB patterns
HIS patterns, its calculation formula is as follows：
Wherein R, G and B are respectively red image, green and blue component, and H, I and S are respectively the form and aspect of image, lightness
With saturation degree component.
Step 2：Based on sentencing at the beginning of the flame of color characteristic；
Each pixel of scan image, calculates the color component value of itself RGB and HIS pattern, judges whether to meet
Following mountain fire preliminary judgement condition：
Wherein, Ho、SoRespectively color component threshold value.In the present embodiment, by the system to each component value of flame pixels point
Meter research and many experiments, by HoValue be set as 60, SoValue be set as 30.
By introducing above-mentioned decision condition to eliminate above-mentioned disturbing factor, the segmentation to image is realized, calculating principle is：
Wherein, f (x, y) is the color component of coordinate (x, y) place pixel on image, f=H, I or S；
Step 3：Mountain fire feature extraction based on color characteristic difference；
Doubtful mountain fire region barycenter is calculated to the image after step 2 processingCalculation formula is：
Wherein, MijFor image f (x, y) i+j rank geometric moments.
Based on above-mentioned centroid calculation result, put pixel-by-pixel to the doubtful flame point and region barycenter being partitioned into HIS tri-
Difference operation is done in dimension, calculation formula is：
All pixels point color characteristic difference in the doubtful flame region split is counted, and calculates its variance yields, is remembered
For c.
Step 4：Mountain fire identification based on Temperature Distribution；
Continuous one second sequence image is recorded, based on step 1~3 methods describeds, count in each doubtful flame region of image
The variance yields of color characteristic difference, averagedIf more than mountain fire decision threshold co, then it is determined as mountain fire, provides alarm letter
Breath.In the present embodiment, by the NULL and many experiments to each component value of flame pixels point, by coValue be set as
(10,10,20)。
The test video image progress mountain fire that four groups of 15min are have chosen in the present embodiment sentences knowledge, respectively transmission line of electricity mountain
Red as fire other jamming light sources of outer, sunshine, car light, passage, calculate each image set color feature value, identifying result is as follows：
| Monitoring image title | Meet and just sentence rate | Image alarm rate |
| Sunshine | 25.6% | 0.6% |
| Car light | 8.4% | 0% |
| Circuit mountain fire | 100% | 100% |
| Other interference | 15.1% | 1.1% |
As can be seen that this method can effectively eliminate the influence of the interference sources such as sunshine, light, comprehensive 4 class testing collection tables of data
Bright, transmission line forest fire accident each time can be recognized accurately in this method, and mountain fire rate of false alarm is low, easy to operate, practical,
Reliable technical support can be provided for the live mountain fire monitoring preventing and treating of transmission line of electricity, effectively reduction stopping caused by transmission line forest fire
Electric loss.
Claims (10)
1. a kind of transmission line forest fire discrimination method based on Temperature Distribution, further feature is, comprises the following steps：
Step 1, the transmission line forest fire to reception monitor video frame images, carry out image enhaucament and noise suppressed pretreatment, and
Pretreated image is converted into HIS patterns from RGB patterns；
Each pixel in step 2, the pretreated image of scanning, calculates the color component value of itself RGB and HIS pattern,
Pretreated image split according to color component value to obtain doubtful flame region；
Step 3, the barycenter for calculating doubtful flame region, and each pixel and barycenter are calculated in doubtful flame region in HIS tri-
Difference in individual dimension, obtains all pixels point color characteristic difference in doubtful flame region, then calculate its variance；
Step 4, record continuous multiple image, based on step 1~3 described in method, count doubtful flame zone in each two field picture
The variance of all pixels point color characteristic difference, asks for its average value in domain, if average value is more than mountain fire decision threshold, judges
For mountain fire.
2. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 1, image enhaucament is realized using the method for image Fourier transform；Realize that picture noise presses down using 3 × 3 median filtering methods
System.
3. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 1, the calculation formula that image is converted into HIS patterns from RGB patterns is as follows：
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Wherein, R, G and B are respectively the red, green and blue component of image, and H, I and S are respectively the form and aspect of image, lightness
With saturation degree component.
4. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 2, pretreated image split to be doubted according to whether color component value meets mountain fire preliminary judgement condition
Like flame region；Wherein mountain fire preliminary judgement condition is：
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Wherein, R, G and B are respectively the red, green and blue component of image, and H, S are respectively the form and aspect and saturation degree point of image
Amount；Ho、SoRespectively color component threshold value；It is doubtful flame region by the regional determination for meeting mountain fire preliminary judgement condition.
5. the transmission line forest fire discrimination method according to claim 4 based on Temperature Distribution, further feature is, described
HoValue be set as 60, SoValue be set as 30.
6. the transmission line forest fire discrimination method according to claim 4 based on Temperature Distribution, further feature is, described
In step 3, the doubtful flame region being partitioned into is primarily based on, the color component of image slices vegetarian refreshments is handled as follows：
Wherein, f (x, y) is the color component of coordinate (x, y) place pixel on image, f=H, I or S；
Then the center-of-mass coordinate of doubtful flame region is calculated according to below equation
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7. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 3, the color characteristic difference of each pixel in doubtful flame region is calculated according to below equation first：
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8. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 4, record the multiple image in continuous 1s, based on step 1~3 described in method, count doubtful flame in each two field picture
The variance of all pixels point color characteristic difference, asks for its average value in region, if average value is more than mountain fire decision threshold, sentences
It is set to mountain fire.
9. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, described
In step 4, mountain fire decision threshold is set as (10,10,20).
10. the transmission line forest fire discrimination method according to claim 1 based on Temperature Distribution, further feature is, institute
State in step 4, if it is determined that being mountain fire, then provide warning information.
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| CN110640297A (en) * | 2019-09-26 | 2020-01-03 | 沈阳航空航天大学 | Online control system and method for transient temperature of friction stir welding |
| CN111932889A (en) * | 2020-08-18 | 2020-11-13 | 湖南汽车工程职业学院 | Traffic dispersion system based on vehicle-road cooperation |
| CN112242038A (en) * | 2020-08-24 | 2021-01-19 | 烟台艾睿光电科技有限公司 | Fire situation determination method, device, equipment and computer readable storage medium |
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