CN106682580A - Forest fire predication method and system based on power transmission line forest fire image - Google Patents
Forest fire predication method and system based on power transmission line forest fire image Download PDFInfo
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Abstract
The invention discloses a forest fire predication method and system based on a power transmission line forest fire image. According to a power transmission line forest fire gray level image, forest fire images subjected to edge extraction are obtained. According to the forest fire image subjected to edge extraction and the forest fire location, the forest fire is classified and the gray level image subjected to forest fire classification is obtained. According to the gray level image subjected to forest fire classification and the current forest fire geographic information, the forest fire spreading range is predicated. According to the invention, through noise reduction treatment of the power transmission line forest fire gray level image, image precision is improved; and then forest fire classification is performed and the forest fire spreading range is predicted through combining with the specific information of the forest fire location, so that the predication result becomes more accurate.
Description
Technical field
It is more particularly to a kind of to be based on transmission line forest fire figure the present invention relates to transmission line forest fire technical field of image processing
The mountain fire Forecasting Methodology and system of picture.
Background technology
In recent years, as country is increasing to " conceding the land to forestry " policy dynamics, waste mountain waste is gradually by dense vegetation
Covered, the vegetation near transmission line of electricity is also more and more denseer.Extreme weather easily triggers large area mountain fire, not only threatens fire
Ecological environment, human life's property safety in calamity influence area.Meanwhile, nearby mountain fire can cause transmission line of electricity to be jumped to power transmission line
Lock, has a strong impact on the safe and stable operation of China's power network.
At present, China mainly comprehensively refers in the data research of transmission line forest fire disaster digital picture according to multiple-factor
The forecasting procedure of risk of forest fire is marked, it is analyzed to history condition of a fire fire data and the meteorological data of the same period, and introduces
The concept of fuzzy set, sets up the Mathematical Modeling and forest fire danger class forecast system of fire hazard degree.But, by the above method
Obtain mountain fire disaster digital image noise many, error is big, has a strong impact on the judgement of fire spread trend, cause accurate to fire prediction
True property is poor.
The content of the invention
Goal of the invention of the invention is to provide a kind of mountain fire Forecasting Methodology and system based on transmission line forest fire image,
To solve the problems, such as that existing mountain fire Forecasting Methodology is accurate to fire prediction poor.
A kind of embodiments in accordance with the present invention first aspect, there is provided mountain fire prediction side based on transmission line forest fire image
Method includes：
Obtain the gray level image of transmission line forest fire；
According to the gray level image of the transmission line forest fire, obtain extracting the mountain fire image behind edge；
According to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified, obtained mountain fire classification
Gray level image afterwards；
According to the sorted gray level image of the mountain fire and the current geography information of mountain fire, the spreading range of mountain fire is predicted；
Wherein, the geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
A kind of embodiments in accordance with the present invention second aspect, there is provided mountain fire prediction system based on transmission line forest fire image
System includes：
Image collection module, obtains the gray level image of transmission line forest fire；
Image zooming-out module, according to the gray level image of the transmission line forest fire, obtains extracting the mountain fire image behind edge；
Mountain fire sort module, according to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified,
Obtain the sorted gray level image of mountain fire；
Mountain fire prediction module, according to the sorted gray level image of the mountain fire and the current geography information of mountain fire, predicts mountain
The spreading range of fire；Wherein, the geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
A kind of mountain fire Forecasting Methodology based on transmission line forest fire image provided from above technical scheme, the present invention
And system, the gray level image of transmission line forest fire is first carried out into noise reduction process, the precision of image is improved, then mountain fire is divided
Class, and the specifying information of real-time mountain fire spot is combined, mountain fire spreading range is predicted, make the result of prediction more accurate
Really.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing for needing to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to these accompanying drawings
Obtain other accompanying drawings.
A kind of a kind of flow chart of mountain fire Forecasting Methodology based on power transmission line mountain fire image that Fig. 1 is provided for the present invention；
A kind of another flow chart of mountain fire Forecasting Methodology based on power transmission line mountain fire image that Fig. 2 is provided for the present invention；
A kind of structural representation of mountain fire forecasting system based on power transmission line mountain fire image that Fig. 3 is provided for the present invention；
Fig. 4 is the structural representation of the image zooming-out module of Fig. 3；
Fig. 5 is the structural representation of the mountain fire sort module of Fig. 3；
Fig. 6 is the structural representation of the mountain fire prediction module of Fig. 3.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Whole description, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, embodiments in accordance with the present invention, there is provided a kind of mountain fire prediction based on transmission line forest fire image
Method includes：
Step S11：Obtain the gray level image of transmission line forest fire；
Step S12：According to the gray level image of the transmission line forest fire, obtain extracting the mountain fire image behind edge；
Step S13：According to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified, obtained
The sorted gray level image of mountain fire；
Step S14：According to the sorted gray level image of the mountain fire and the current geography information of mountain fire, the climing of mountain fire is predicted
Prolong scope；Wherein, the geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
A kind of mountain fire prediction side based on transmission line forest fire image provided from above technical scheme, the present embodiment
Method, first carries out noise reduction process by the gray level image of transmission line forest fire, improves the precision of image, then mountain fire is classified, and
With reference to the specifying information of real-time mountain fire spot, mountain fire spreading range is predicted, makes the result of prediction more accurate.
As shown in Fig. 2 according to another embodiment of the present invention, there is provided a kind of mountain fire based on transmission line forest fire image
Forecasting Methodology includes,
Step S21：Transmission line forest fire image is converted to the gray level image of transmission line forest fire；
Transmission line forest fire image can be the common format such as DICOM format or JPG forms, if DICOM format
Picture, the picture need to be converted to the file of JPG forms.
Gray level image be gray level image be each pixel only one of which sample color image, this kind of image is typically shown as
From most furvous to most bright white gray scale.Gray level image is often and measures each in single electromagnetic spectrum such as visible ray
What the brightness of pixel was obtained, the gray level image for showing generally is preserved with the Nonlinear Scale of each sampled pixel 8, this
Sample can have 256 grades of gray scales.
Step S22：The gray level image of the transmission line forest fire is carried out into noise reduction process, the gray-scale map after noise reduction is obtained
Picture.
Noise reduction process removes the noise spot or block of gray level image, to improve the precision of gray level image, the method for noise reduction process
Can have various, such as surface blur etc..
Gray level image be gray level image be each pixel only one of which sample color image, this kind of image is typically shown as
From most furvous to most bright white gray scale.Gray level image is often and measures each in single electromagnetic spectrum such as visible ray
What the brightness of pixel was obtained, the gray level image for showing generally is preserved with the Nonlinear Scale of each sampled pixel 8, this
Sample can have 256 grades of gray scales.
Step S23：The grey scale pixel value of the gray level image according to the transmission line forest fire, the image to the mountain fire enters
Row Morphological scale-space, obtains the image of mountain fire；
Because the gray value of mountain fire image is more than the gray value without flame range domain, therefore according to the gray-scale map of transmission line forest fire
Mountain fire image can be distinguished as the gray value of pixel and without fiery image, if for example, the gray value of certain pixel is more than 100, you can really
The fixed pixel is mountain fire image pixel, if the gray value of certain pixel is less than 100, you can determine that the pixel is without fiery image slices
Element, thus can obtain the image of mountain fire.
Step S24：Corrosion treatment is carried out to volcano image, by the mountain fire image subtraction after the mountain fire image and corrosion,
Obtain extracting the mountain fire image behind edge.
Corrode is each pixel in structural element scan image, the picture that each pixel in structural element is covered with it
Element does AND operation, if being all 1, pixel is 1, is otherwise 0；Corrosion can eliminate the boundary point in image, target is contracted
It is small, the mountain fire image after corrosion is carried out into phase reducing with the mountain fire image after Morphological scale-space, obtain the edge image of mountain fire.
Step S25：According to the grey scale pixel value of the mountain fire image behind the extraction edge, judge whether mountain fire is naked light；
Naked light refers to the fire with flame, and dying fire refers to without flame or, such as cigarette end, charcoal fire magnitude, due to the picture of naked light
Plain gray value is more than the gray value of dying fire, therefore, by the gray value of the pixel in mountain fire image, it may be determined that the intensity of a fire of mountain fire
The gray value of the scope of size and mountain fire, such as pixel is larger, it may be determined that the intensity of a fire of mountain fire is larger, you can determine the mountain in the region
Fire is naked light；Conversely, the gray value of pixel is smaller, it may be determined that the intensity of a fire that mountain fire burns on the ground is smaller, you can determine the area
The mountain fire in domain is dying fire.
Step S26：If mountain fire is naked light, according to the position of the naked light, the type of mountain fire is determined.
Height with reference to naked light relative to ground, determines the type of mountain fire, for example, the position that naked light occurs is higher, can be true
Determine naked light to occur in tree crown position, as crown fire；The position that naked light occurs is relatively low, it may be determined that naked light occurs in earth's surface, as
Surface-fire.
Step S27：It is default first according to the sorted gray level image of the mountain fire and the current geography information of mountain fire
The time is spread, the spreading range of mountain fire is obtained；
Geography information include wind speed, wind direction, temperature, humidity, the gradient on hillside and area, by first it is default spread when
Between, this spread the time can as the time of spreading of Initial Stage of Fire, and this to spread the time shorter, obtain this and spread volcano after the time
The scope for spreading.
Step S28：The starting point of the prediction intensity of a fire is chosen at the edge of the spreading range of the mountain fire, speed is spread according to mountain fire
Degree and the second default spreading range for spreading the time, predicting mountain fire.
The volume edges spread in above-mentioned mountain fire choose the starting point of prediction fire spreading, and can set one it is new
The time is spread, the rate of propagation of mountain fire can be obtained by various computational methods, and such as Rothermel models can be sent out with reference to mountain fire
Raw positional information, such as landform and wind direction, calculate the rate of propagation of mountain fire, and spread the time according to default, predict mountain
The spreading range of fire.
A kind of mountain fire prediction side based on transmission line forest fire image provided from above technical scheme, the present embodiment
Method, first carries out noise reduction process by the gray level image of transmission line forest fire, improves the precision of image, then mountain fire is classified, and
With reference to the specifying information of real-time mountain fire spot, mountain fire spreading range is predicted, makes the result of prediction more accurate.
As shown in figure 3, a kind of mountain fire forecasting system based on transmission line forest fire image includes,
Image collection module 31, obtains the gray level image of transmission line forest fire；
Image zooming-out module 32, according to the gray level image of the transmission line forest fire, obtains extracting the mountain fire figure behind edge
Picture；
Mountain fire sort module, according to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified,
Obtain the sorted gray level image of mountain fire；
Mountain fire prediction module 33, according to the sorted gray level image of the mountain fire and the current geography information of mountain fire, prediction
The spreading range of mountain fire；Wherein, the geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
Preferably, as shown in figure 4, described image extraction module includes,
Picture gradation conversion module 41, transmission line forest fire image is converted to the gray level image of transmission line forest fire；
Picture noise reduction module 42, carries out noise reduction process, after obtaining noise reduction by the gray level image of the transmission line forest fire
Gray level image.
Morphology operations unit 43, the grey scale pixel value of the gray level image according to the transmission line forest fire, to the mountain
The image of fire carries out Morphological scale-space, obtains the image of mountain fire；
Edge cells 44 are extracted, corrosion treatment is carried out to the mountain fire image, by the mountain after the mountain fire image and corrosion
Fiery image subtraction, obtains extracting the mountain fire image behind edge.
Preferably, as shown in figure 5, the mountain fire sort module includes,
Whether naked light judging unit 51, according to the grey scale pixel value of the mountain fire image behind the extraction edge, judge mountain fire
It is naked light；
Mountain fire taxon 52, if mountain fire is naked light, according to the position of the naked light, determines the type of mountain fire.
Preferably, as shown in fig. 6, the mountain fire prediction module includes,
Mountain fire spreading range determining unit 61, according to the current geographical letter of the sorted gray level image of the mountain fire and mountain fire
Breath, in the first default spreading range for spreading the time, obtaining mountain fire；
Mountain fire spreads predicting unit 62, and the starting point of the prediction intensity of a fire, root are chosen at the edge of the spreading range of the mountain fire
Time, the spreading range that prediction mountain is lived are spread according to mountain fire rate of propagation and second are default.
From above technical scheme, a kind of mountain fire prediction system based on transmission line forest fire image that the present embodiment is provided
System, first carries out noise reduction process by the gray level image of transmission line forest fire, improves the precision of image, then mountain fire is classified, and
With reference to the specifying information of real-time mountain fire spot, mountain fire spreading range is predicted, makes the result of prediction more accurate.
Those skilled in the art considering specification and after putting into practice invention disclosed herein, will readily occur to it is of the invention its
Its embodiment.The application is intended to any modification of the invention, purposes or adaptations, these modifications, purposes or
Person's adaptations follow general principle of the invention and including undocumented common knowledge in the art of the invention
Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be appreciated that the invention is not limited in the precision architecture being described above and be shown in the drawings, and
And can without departing from the scope carry out various modifications and changes.The scope of the present invention is only limited by appended claim.
Claims (10)
1. a kind of mountain fire Forecasting Methodology based on transmission line forest fire image, it is characterised in that including：
Obtain the gray level image of transmission line forest fire；
According to the gray level image of the transmission line forest fire, obtain extracting the mountain fire image behind edge；
According to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified, obtained mountain fire sorted
Gray level image；
According to the sorted gray level image of the mountain fire and the current geography information of mountain fire, the spreading range of mountain fire is predicted；Wherein,
The geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
2. method according to claim 1, it is characterised in that the gray level image according to the transmission line forest fire,
Scene of a fire edge is extracted, the gray level image for obtaining extracting behind edge includes,
The grey scale pixel value of the gray level image according to the transmission line forest fire, the image to the mountain fire is carried out at morphology
Reason, obtains the image of mountain fire；
Corrosion treatment is carried out to the mountain fire image, the mountain fire image subtraction after the mountain fire image and corrosion is extracted
Mountain fire image behind edge.
3. method according to claim 1, it is characterised in that the mountain fire image and mountain according to behind the extraction edge
The position of fire, mountain fire is carried out into classification includes,
According to the grey scale pixel value of the mountain fire image behind the extraction edge, judge whether mountain fire is naked light；
If mountain fire is naked light, according to the position of the naked light, the type of mountain fire is determined.
4. method according to claim 1, it is characterised in that described according to the sorted gray level image of the mountain fire and mountain
The current geography information of fire, predicting the spreading range of mountain fire includes,
According to the sorted gray level image of the mountain fire and the current geography information of mountain fire, first it is default spread the time, obtain
To the spreading range of mountain fire；
The starting point of prediction fire spreading is chosen at the edge of the spreading range of the mountain fire, according to mountain fire rate of propagation and second
It is default to spread time, the spreading range that prediction mountain is lived.
5. method according to claim 1, it is characterised in that wrapped before the gray level image of the acquisition transmission line forest fire
Include,
Transmission line forest fire image is converted to the gray level image of transmission line forest fire；
The gray level image of the transmission line forest fire is carried out into noise reduction process, the gray level image after noise reduction is obtained.
6. a kind of mountain fire forecasting system based on transmission line forest fire image, it is characterised in that including,
Image collection module, obtains the gray level image of transmission line forest fire；
Image zooming-out module, according to the gray level image of the transmission line forest fire, obtains extracting the mountain fire image behind edge；
Mountain fire sort module, according to the mountain fire image behind the extraction edge and the position of mountain fire, mountain fire is classified, and is obtained
The sorted gray level image of mountain fire；
Mountain fire prediction module, according to the sorted gray level image of the mountain fire and the current geography information of mountain fire, prediction mountain fire
Spreading range；Wherein, the geography information includes wind speed, wind direction, temperature, humidity, the gradient on hillside and area.
7. system according to claim 6, it is characterised in that described image extraction module includes,
Morphology operations unit, the grey scale pixel value of the gray level image according to the transmission line forest fire, to the figure of the mountain fire
As carrying out Morphological scale-space, the image of mountain fire is obtained；
Edge cells are extracted, corrosion treatment is carried out to the mountain fire image, by the mountain fire image after the mountain fire image and corrosion
Subtract each other, obtain extracting the mountain fire image behind edge.
8. system according to claim 6, it is characterised in that the mountain fire sort module includes,
Naked light judging unit, according to the grey scale pixel value of the mountain fire image behind the extraction edge, judges whether mountain fire is naked light；
Mountain fire taxon, if mountain fire is naked light, according to the position of the naked light, determines the type of mountain fire.
9. system according to claim 6, it is characterised in that the mountain fire prediction module includes,
Mountain fire spreading range determining unit, according to the sorted gray level image of the mountain fire and the current geography information of mountain fire,
The first default spreading range for spreading the time, obtaining mountain fire；
Mountain fire spreads predicting unit, the starting point of the prediction intensity of a fire is chosen at the edge of the spreading range of the mountain fire, according to mountain fire
Rate of propagation and the second default spreading range for spreading the time, predicting mountain work.
10. system according to claim 6, it is characterised in that the system also includes,
Picture gradation conversion module, transmission line forest fire image is converted to the gray level image of transmission line forest fire；
Picture noise reduction module, noise reduction process is carried out by the gray level image of the transmission line forest fire, obtains the gray-scale map after noise reduction
Picture.
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