CN104361591B - Region substitutes the acquisition methods and system of fiducial temperature in power plant's warm water discharge monitoring - Google Patents
Region substitutes the acquisition methods and system of fiducial temperature in power plant's warm water discharge monitoring Download PDFInfo
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Abstract
The invention provides acquisition methods and system that region in a kind of monitoring of power plant's warm water discharge substitutes fiducial temperature, including：Obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored；The extra large table spoke brightness image is divided into multiple grids；Qian Pai areas according to the region to be monitored and without row area, Qian Pai areas grid is divided into and without row's area's grid by the multiple grid；Calculate Qian Pai areas grid and the spoke brightness similarity without row's area's grid, and obtain with Qian Pai areas grid similarity maximum without row's area's grid, the maximum sea surface temperature average without the corresponding region of row's area's grid of the similarity is the fiducial temperature of the monitoring for carrying out warm water discharge.Select to determine the region of fiducial temperature because the present invention is not the subjective experience according to staff, therefore, solve the problems, such as to extract inaccurate and the monitoring of influence warm water discharge and nuclear power plant's warm water discharge environmental evaluation objectivity, accuracy due to the not objective fiducial temperature for causing of regional choice.
Description
Technical field
The present invention relates to environmental monitoring technology field, region is replaced in being monitored more specifically to a kind of power plant's warm water discharge
For the acquisition methods and system of fiducial temperature.
Background technology
In recent years, as China is continuously increased to need for electricity, nuclear power has received the height of people as new energy
Degree concern.But, during nuclear power station generates electricity, substantial amounts of warm water discharge can be entered constantly in neighbouring receiving water body, its
In, warm water discharge refers to the cooling water higher than 6 DEG C~11 DEG C of receiving water body environment water temperature.With being continually drained for warm water discharge, nuclear power
The temperature of Its Adjacent Waters of standing can be raised constantly, cause heat pollution of water, make marine algae in receiving water body region, fish and shellfish
Class etc. is influenced to different extents, therefore, the coverage and influence of investigation and assessment warm water discharge are strong periodically, exactly
Degree, has become important reference of the nuclear power plant to briny environment impact evaluation.
At present, the monitoring method of warm water discharge mainly have Method for Numerical, physical simulation experiment method, live manual measurement and
Monitoring by Thermal Infrared Remote Sensing method.Due to remote sensing be it is a kind of with broad perspectives, ageing and synchronism large scale monitoring
Technology, therefore, Monitoring by Thermal Infrared Remote Sensing method is applied in the monitoring of warm water discharge more and more widely.And using heat
During infrared remote sensing monitoring method is monitored with assessment to warm water discharge, it is necessary to exactly extract sea limit of temperature rise and
Size, now, it is necessary to set benchmark of a temperature when sea is not influenceed by warm water discharge as assessment, i.e. fiducial temperature.
Prior art proposes a kind of method for obtaining fiducial temperature, i.e. region replacement temperature methods and is also called warm water discharge neighbour
Near field method, the extracted region that the method will not will be influenceed near nuclear power station by warm water discharge is nucleus, by core space
The sea mean temperature in domain is set as fiducial temperature, and real time temperature and the fiducial temperature on the sea being then discharged into after warm water discharge are entered
Row compares, and the limit of temperature rise and size on sea are obtained with this.But, in actual application process, staff often relies on
The subjective experience of oneself selects nucleus, and the setting that this has resulted in fiducial temperature is inaccurate, influence nuclear power plant warm water discharge
The objectivity and accuracy of monitoring and nuclear power plant's warm water discharge environmental evaluation of limit of temperature rise.
The content of the invention
In view of this, the invention provides a kind of power plant's warm water discharge monitoring in region substitute fiducial temperature acquisition methods and
System, influence inaccurate with the fiducial temperature setting for solving to be caused due to the subjectivity of nucleus selection in the prior art
Warm water discharge monitors objectivity, the problem of accuracy with nuclear power plant's warm water discharge environmental evaluation.
To achieve the above object, the present invention provides following technical scheme：
Region substitutes the acquisition methods of fiducial temperature in a kind of power plant's warm water discharge monitoring, including：
Obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored；
The extra large table spoke brightness image is divided into multiple grids；
Qian Pai areas according to the region to be monitored and without row area, Qian Pai areas grid is divided into and without row by the multiple grid
Area's grid；
Qian Pai areas grid and the spoke brightness similarity without row's area's grid are calculated, and is obtained and the Qian Pai areas grid phase
It is maximum without row's area's grid like spending, the maximum sea surface temperature average without the corresponding region of row's area's grid of the similarity be into
The fiducial temperature of the monitoring of row warm water discharge.
Preferably, the mistake of the spoke brightness image for obtaining the sea surface temperature image before area alignment warm water discharge to be monitored
Journey, including：
Obtain the remote sensing image data before area alignment warm water discharge to be monitored；
The remote sensing image is pre-processed, to obtain the spoke brightness image of the remote sensing image data；
Land image in the spoke brightness image is separated, to obtain the extra large table before area alignment warm water discharge to be monitored
Spoke brightness image.
Preferably, the process that the extra large table spoke brightness image is divided into multiple grids, including：
Complexity according to the variance of pixel, default extraction accuracy and algorithm in grid determines the yardstick of grid, described
The variance of pixel is less than or equal to 0.5 in grid；
The extra large table spoke brightness image is divided into multiple grids by the yardstick according to the grid.
Preferably, the Qian Pai areas are that maximum temperature rise is 1 DEG C in the region described to be monitored obtained by Mathematical Model Analysis
Extra large table section, described refers to the extra large table section in the region to be monitored outside the Qian Pai areas without area is arranged.
Preferably, it is described calculate Qian Pai areas grid and without row area's grid spoke brightness similarity, and obtain with it is described
The maximum process without row's area's grid of Qian Pai areas grid similarity, including：
Qian Pai areas grid is calculated and without the spoke brightness similarity for arranging area's grid using different similarity measurements flow functions,
And obtain one-to-one with the similarity measurements flow function multigroup without row's area's grid；
The average and standard deviation of each Zu Wupai areas grid and the spoke luminance difference absolute value of Qian Pai areas grid are calculated,
The minimum Zu Wupai areas grid of the average and standard deviation of the spoke luminance difference absolute value is and the Qian Pai areas grid phase
It is maximum without row's area's grid like spending, the similarity it is maximum be described treating without the corresponding similarity measurements flow function of row's area's grid
The optimal similarity measurements flow function of monitored area.
Preferably, the similarity measurements flow function includes cosine metric function, Pearson correlation coefficient and Euclidean distance letter
Number.
Region substitutes the acquisition system of fiducial temperature in a kind of power plant's warm water discharge monitoring, including：
Acquisition module, for obtaining the extra large table spoke brightness image before area alignment warm water discharge to be monitored；
Division module, for the extra large table spoke brightness image to be divided into multiple grids；
Sort module, for the Qian Pai areas according to the region to be monitored and without row area, the multiple grid is divided into latent
Arrange area's grid and without row's area's grid；
Computing module, for calculate Qian Pai areas grid and without row area's grid spoke brightness similarity, and obtain and institute
Shu Qianpai areas grids similarity it is maximum without row's area's grid, the maximum extra large table without the corresponding region of row's area's grid of the similarity
Temperature average is the fiducial temperature of the monitoring for carrying out warm water discharge.
Preferably, the acquisition module includes：
Acquiring unit, for obtaining the remote sensing image data before area alignment warm water discharge to be monitored；
Processing unit, for being pre-processed to the remote sensing image, to obtain the spoke brightness of the remote sensing image data
Image；
Separative element, for the land image in the spoke brightness image to be separated, to obtain area alignment temperature to be monitored
Extra large table spoke brightness image before draining.
Preferably, the division module includes：
Mesh scale unit, it is true for the complexity according to the variance of pixel, default extraction accuracy and algorithm in grid
Determine the yardstick of grid, the variance of pixel is less than or equal to 0.5 in the grid；
Mesh generation unit, multiple nets are divided into for the yardstick according to the grid by the extra large table spoke brightness image
Lattice.
Preferably, the computing module includes：
First computing unit, for calculating Qian Pai areas grid and without row's area's net using different similarity measurements flow functions
The spoke brightness similarity of lattice, and obtain one-to-one with the similarity measurements flow function multigroup without row's area's grid；
Second computing unit, it is absolute with the spoke luminance difference of Qian Pai areas grid for calculating each Zu Wupai areas grid
The average and standard deviation of value, the minimum Zu Wupai areas grid of the average and standard deviation of the spoke luminance difference absolute value be with
The Qian Pai areas grid similarity it is maximum without row's area's grid, the similarity it is maximum without the corresponding similarity measurements of row's area's grid
Flow function is the optimal similarity measurements flow function in the region to be monitored.
Compared with prior art, technical scheme provided by the present invention has advantages below：
Region substitutes the acquisition methods and system of fiducial temperature in power plant's warm water discharge monitoring provided by the present invention, by inciting somebody to action
Extra large table spoke brightness image before warm water discharge is not discharged in region to be monitored is divided into multiple grids, and these grids are divided into latent row
Area's grid and without row's area's grid, then finds out the grid maximum with Qian Pai areas grid spoke brightness similarity from without row's area's grid,
What then these similarities were maximum is nucleus without the corresponding region of row's area's grid, and the sea surface temperature average in this region is
To carry out the fiducial temperature of the monitoring of warm water discharge.
Region substitutes the acquisition methods and system of fiducial temperature in the power plant's warm water discharge monitoring provided due to the present invention, not
Being the subjective experience according to staff selects nucleus, that is, determine the region of fiducial temperature, therefore, solve due to core
The not objective fiducial temperature for causing of heart regional choice extracts inaccurate and the monitoring of influence warm water discharge and nuclear power plant's warm water discharge ring
Objectivity, the problem of accuracy that border is evaluated.
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 embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
The accompanying drawing of offer obtains other accompanying drawings.
Region substitutes the acquisition methods of fiducial temperature in power plant's warm water discharge monitoring that Fig. 1 one embodiment of the present of invention is provided
Flow chart；
A kind of extra large table spoke brightness image that Fig. 2 is provided for one embodiment of the present of invention；
Extra large table spoke brightness image after a kind of mesh generation that Fig. 3 is provided for one embodiment of the present of invention；
Region substitutes the acquisition of fiducial temperature in power plant's warm water discharge monitoring that Fig. 4 is provided for an alternative embodiment of the invention
The structural representation of system.
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
Site preparation is described, 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.
An embodiment provides the acquisition side that region in a kind of monitoring of power plant's warm water discharge substitutes fiducial temperature
Method, its flow chart as shown in figure 1, including：
S101：Obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored；
Specifically, the process of the spoke brightness image of the sea surface temperature image before acquisition area alignment warm water discharge to be monitored,
Including：
Obtain the remote sensing image data before area alignment warm water discharge to be monitored；
The remote sensing image is pre-processed, to obtain the spoke brightness image of the remote sensing image data；
Land image in the spoke brightness image is separated, to obtain the extra large table before area alignment warm water discharge to be monitored
Spoke brightness image.
Above-mentioned remote sensing image data is before not generated electricity by the nuclear power plant in the region to be monitored of remote sensing acquisition
Image data, that is, the long-term sequence image data before not discharging warm water discharge.After the remote sensing image data is obtained, also need
Remote sensing image is pre-processed, the process of pretreatment includes carrying out resampling, geometric correction, radiation calibration and covering to image
Scope is normalized, to obtain the spoke brightness image of above-mentioned remote sensing image data, i.e. spatial resolution, coverage and image size
Identical entrance pupil spoke brightness image data.
After obtaining spoke brightness image, extra large land separation is carried out using remote sensing technology, treat sea where the nuclear power plant of monitored area
Region outside domain carries out mask process, and land image that will be in spoke brightness image is separated with extra large table image, and by land shadow
As separating, the extra large table spoke brightness image before area alignment warm water discharge to be monitored is obtained.
At present, it is that extra large land separation method has single band threshold method, band combination using more extensive Clean water withdraw method
Method and multispectral Mixed method.By taking single band threshold method as an example, the method is the reflection near infrared band according to water body
Rate carries out water body and is separated with other objects i.e. land less than other ground objects.When being separated, it is first determined water body
Maximum spoke brightness value, the threshold value that the maximum spoke brightness value as land and water separate is then true less than the region of threshold value by spoke brightness
It is set to extra large table, spoke brightness is defined as land more than the region of threshold value, artificial regulation and control are carried out to the extra large table for extracting afterwards, removes
The water body and dash area of land, obtain final land and water separating resulting, as shown in Figure 2.
S102：The extra large table spoke brightness image is divided into multiple grids；
On the basis of extra large land separates, gridding is carried out to extra large table spoke brightness image, will extra large table spoke brightness image division
It is multiple grids, as shown in Figure 3.Wherein, the size of mesh scale refers to the pixel count included in unit grids.And in grid
The average of pixel temperatures value is the temperature value of the grid.During gridding, the selection of mesh scale is particularly significant.It is single
Position grid is smaller, and grid number to be dealt with is more in calculating, calculates also more complicated, but the result precision of gained is got over
It is high；And unit grids are excessive, the variance of pixel value in grid can be caused to become big again so that by the average of pixel temperatures in grid
The temperature value of the grid for obtaining just no longer has reasonability, can also influence the accuracy of the fiducial temperature of follow-up acquisition.
In the present embodiment, when mesh generation is carried out, first according to the variance of pixel, default precision and algorithm in grid
Complexity determine the yardstick of grid, wherein, the variance of pixel is less than or equal to 0.5 in grid, and the amount of calculation of algorithm is as far as possible
It is small, the yardstick of grid is finally determined by interative computation afterwards；Then the yardstick according to grid divides extra large table spoke brightness image
It is multiple grids.Determine after the yardstick of grid, grid is numbered according to the row and column on image, to be marked.
For example, the A grid marks of the row of the 5th row the 6th are (5,6) in Fig. 3.
S103：Qian Pai areas according to the region to be monitored and without row area, Qian Pai areas grid is divided into by the multiple grid
With without row area's grid；
Before classifying to grid, it is thus necessary to determine that the Hai Biaoqianpaiqu in region to be detected and without row area.This implementation
In example, using the nuclear power plant in Mathematical Model Analysis acquisition region to be monitored, in normal operation, maximum temperature rise is 1 DEG C of extra large table section, this
Region is Qian Pai areas, that is to say, that Qian Pai areas are that maximum temperature rise is 1 DEG C in the region to be monitored obtained by Mathematical Model Analysis
Extra large table section, refers to the extra large table section outside Nei Qianpai areas in region to be monitored without row area.Then, it is determined that Qian Pai areas and without row area it
Afterwards, according to Qian Pai areas scope and without row's area's scope, multiple grids of extra large table spoke brightness image are classified, that is, is divided into Qian Pai areas
Grid and without row area's grid.
Need to be carried out according to following principle when grid is classified：If there is the pixel more than or equal to 1/2 to belong in grid
In Qian Pai areas, then the mesh generation is Qian Pai areas grid；If there is the pixel more than or equal to 1/2 to belong to without row area in grid,
Then the grid partition is without row's area's grid；Otherwise, give up the grid and be not involved in classification.The present embodiment carries out grid by image
Change, irregular Qian Pai areas are converted for regular grid with without row area.So, extract and the most close region of Qian Pai areas temperature
Problem, translated into and extracted the problem without row area grid most close with Qian Pai areas grids temperature, and then converted in order in n
The problem of maximum similarity vector is extracted in dimension space.
S104：Qian Pai areas grid and the spoke brightness similarity without row's area's grid are calculated, and is obtained and the Qian Pai areas
Grid similarity it is maximum without row's area's grid；
In the present embodiment, Qian Pai area's grids are calculated and without the spoke brightness for arranging area's grid using different similarity measurements flow functions
Similarity, that is, choose typical similarity measurements flow function such as cosine in higher dimensional space measure, Pearson correlation coefficient and Euclidean away from
From etc. carry out the calculating of similarity, then look for being applied to the optimal similarity measurements flow function in region to be monitored.
Rating similarity metric function is to judge the similarity measurements flow function energy if appropriate for the standard in region to be monitored
The no similarity degree for objectively evaluating two vectors, the similarity degree of vector is higher, and similarity should be bigger, i.e., for be extracted
Similarity it is maximum without row's area's grid, this is smaller with temperature gap of Qian Pai areas grid without row's area's grid and changes over time ripple
It is dynamic more stable better.
Detailed process is：Qian Pai areas grid is calculated and without the spoke for arranging area's grid using different similarity measurements flow functions
Brightness similarity, and obtain one-to-one with similarity measurements flow function multigroup without row's area's grid.For example, measuring letter using cosine
Number, Pearson correlation coefficient and Euclidean distance function calculate Qian Pai areas grid and the spoke brightness similarity without row's area's grid respectively,
And obtain a Zu Wupai areas grid of the similarity maximum calculated by cosine metric function, i.e. the first Zu Wupai areas grid；
Obtain a Zu Wupai areas grid of the similarity maximum calculated by Pearson correlation coefficient, i.e. the second Zu Wupai areas grid；
Obtain a Zu Wupai areas grid of the similarity maximum calculated by Euclidean distance function, i.e. the 3rd Zu Wupai areas grid.
Then the spoke luminance difference of the first group~the 3rd Zu Wupai areas grid and Qian Pai areas grid is calculated, that is, calculates each group
Enter without the average and standard deviation of arranging area's grid and the spoke luminance difference absolute value of Qian Pai areas grid, and three class means that will be calculated
Row contrast, three groups of standard deviations are contrasted, and find out average and the minimum Zu Wupai areas grid of standard deviation.Due to average and mark
The smaller then similarity measurements flow function of quasi- difference is better, and what is calculated is bigger with the similarity of Qian Pai areas grid without row's area's grid, therefore,
The minimum Zu Wupai areas grid of the average and standard deviation of spoke luminance difference absolute value be similarity it is maximum without row's area's grid,
Calculate the optimal similarity measurement that the maximum similarity measurements flow function without row's area's grid of the similarity is region to be monitored
Function.
S105：By the fiducial temperature that the monitoring for carrying out warm water discharge is obtained without row's area's grid that the similarity is maximum.
The maximum replacement area that Qian Pai areas grid is can be used as without row's area's grid of the similarity of above-mentioned acquisition, the similarity
The maximum sea surface temperature average without the corresponding region of row's area's grid is the fiducial temperature of the monitoring for carrying out warm water discharge, so that can
According to the fiducial temperature, the limit of temperature rise and size on the sea in region to be monitored are obtained in real time, in case warm water discharge causes sea
Temperature it is too high, the biology such as marine algae, fish and shellfish in influence area.
Region substitutes the acquisition methods of fiducial temperature in the power plant warm water discharge monitoring that the present embodiment is provided, by will be to be monitored
Extra large table spoke brightness image before warm water discharge is not discharged in region is divided into multiple grids, and these grids are divided into Qian Pai areas grid
With without row's area's grid, then find out the grid maximum with Qian Pai areas grid spoke brightness similarity from without row's area's grid, and by this
A little similarities it is maximum without the corresponding region of row's area's grid as nucleus, using the sea surface temperature average in this region as entering
The fiducial temperature of the monitoring of row warm water discharge.
Region substitutes the acquisition methods of fiducial temperature in the power plant's warm water discharge monitoring provided due to the present embodiment, is not root
Select nucleus according to the subjective experience of staff, therefore, solve due to not objective the causing of nucleus selection
Fiducial temperature is extracted inaccurate and influence warm water discharge monitoring and the objectivity of nuclear power plant's warm water discharge environmental evaluation, accuracy and is asked
Topic.
Also, region substitutes the acquisition methods of fiducial temperature in power plant's warm water discharge monitoring that the present embodiment is provided, by meter
The similarity for calculating spoke brightness obtains, without row area and Qian Pai areas similarity, simplifying the complexity of algorithm, improves the accurate of calculating
Degree.
An alternative embodiment of the invention provides the acquisition of region replacement fiducial temperature in a kind of monitoring of power plant's warm water discharge
System, the structural representation of the system is as shown in figure 4, including acquisition module 401, division module 402, sort module 403 and meter
Calculate module 404.
Wherein, acquisition module 401 is used to obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored；Divide
Module 402 is used to for the extra large table spoke brightness image to be divided into multiple grids；Sort module 403 is used for according to the area to be monitored
Yu Qianpai areas and without row area, by the multiple grid be divided into Qian Pai areas grid and without row area's grid；Computing module 404 is based on
Qian Pai areas grid and the spoke brightness similarity without row's area's grid are calculated, and is obtained and Qian Pai areas grid similarity maximum
Without row's area's grid, the maximum sea surface temperature average without the corresponding region of row's area's grid of the similarity is and carries out warm water discharge
The fiducial temperature of monitoring.
In the present embodiment, acquisition module 401 includes acquiring unit, processing unit and separative element.Acquiring unit is used to obtain
Take the remote sensing image data before area alignment warm water discharge to be monitored；Processing unit is used to carry out pre- place to the remote sensing image
Reason, to obtain the spoke brightness image of the remote sensing image data；Separative element is used for the land shadow in the spoke brightness image
As separating, to obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored.
Division module 402 includes mesh scale unit and mesh generation unit.Mesh scale unit is used for according in grid
The complexity of the variance of pixel, default extraction accuracy and algorithm determines the yardstick of grid, and the variance of pixel is small in the grid
In or equal to 0.5；Mesh generation unit is used to that the extra large table spoke brightness image to be divided into multiple according to the yardstick of the grid
Grid.
Computing module 404 includes the first computing unit and the second computing unit.First computing unit is used for using different
Similarity measurements flow function calculates Qian Pai areas grid and the spoke brightness similarity without row's area's grid, and obtains and the similitude
Metric function is one-to-one multigroup without row's area's grid；Second computing unit is latent with described for calculating each Zu Wupai areas grid
The average and standard deviation of the spoke luminance difference absolute value of area's grid are arranged, the average and standard deviation of the spoke luminance difference absolute value are most
A small Zu Wupai areas grid is with Qian Pai areas grid similarity maximum without row's area's grid, the similarity maximum
The optimal similarity measurements flow function in the region to be monitored is without the corresponding similarity measurements flow function of row's area's grid.
Wherein, the alternate area that Qian Pai areas grid is can be used as without row's area's grid of the similarity maximum that the present embodiment is obtained
Domain, the maximum sea surface temperature average without the corresponding region of row's area's grid of similarity is the benchmark temperature of the monitoring for carrying out warm water discharge
Degree.
Region substitutes the acquisition system of fiducial temperature in the power plant warm water discharge monitoring that the present embodiment is provided, by will be to be monitored
Extra large table spoke brightness image before warm water discharge is not discharged in region is divided into multiple grids, and these grids are divided into Qian Pai areas grid
With without row's area's grid, then find out the grid maximum with Qian Pai areas grid spoke brightness similarity from without row's area's grid, and by this
A little similarities it is maximum without the corresponding region of row's area's grid as nucleus, using the sea surface temperature average in this region as entering
The fiducial temperature of the monitoring of row warm water discharge.
Region substitutes the acquisition system of fiducial temperature in the power plant's warm water discharge monitoring provided due to the present embodiment, is not root
Select nucleus according to the subjective experience of staff, therefore, solve due to not objective the causing of nucleus selection
Fiducial temperature is extracted inaccurate and influence warm water discharge monitoring and the objectivity of nuclear power plant's warm water discharge environmental evaluation, accuracy and is asked
Topic.Also, region substitutes the acquisition system of fiducial temperature in power plant's warm water discharge monitoring that the present embodiment is provided, bright by calculating spoke
The similarity of degree obtains, without row area and Qian Pai areas similarity, simplifying the complexity of algorithm, improves the accuracy of calculating.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.For device disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or uses the present invention.
Various modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, the present invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The scope most wide for causing.
Claims (10)
1. region substitutes the acquisition methods of fiducial temperature in a kind of power plant's warm water discharge monitoring, it is characterised in that including：
Obtain the extra large table spoke brightness image before area alignment warm water discharge to be monitored；
The extra large table spoke brightness image is divided into multiple grids；
Qian Pai areas according to the region to be monitored and without row area, Qian Pai areas grid is divided into and without row's area's net by the multiple grid
Lattice；
Qian Pai areas grid and the spoke brightness similarity without row's area's grid are calculated, and is obtained and the Qian Pai areas grid similarity
It is maximum without row's area's grid, the maximum sea surface temperature average without the corresponding region of row's area's grid of the similarity is and carries out temperature
The fiducial temperature of the monitoring of draining.
2. method according to claim 1, it is characterised in that the sea before the acquisition area alignment warm water discharge to be monitored
The process of table spoke brightness image, including：
Obtain the remote sensing image data before area alignment warm water discharge to be monitored；
The remote sensing image is pre-processed, to obtain the spoke brightness image of the remote sensing image data；
Land image in the spoke brightness image is separated, it is bright to obtain extra large table spoke before area alignment warm water discharge to be monitored
Degree image.
3. method according to claim 1, it is characterised in that described that the extra large table spoke brightness image is divided into multiple nets
The process of lattice, including：
Complexity according to the variance of pixel, default extraction accuracy and algorithm in grid determines the yardstick of grid, the grid
The variance of interior pixel is less than or equal to 0.5；
The extra large table spoke brightness image is divided into multiple grids by the yardstick according to the grid.
4. method according to claim 3, it is characterised in that the Qian Pai areas by Mathematical Model Analysis obtain described in treat
Maximum temperature rise is 1 DEG C of extra large table section in monitored area, it is described without row area refer in the region to be monitored the Qian Pai areas it
Outer extra large table section.
5. method according to claim 4, it is characterised in that the calculating Qian Pai areas grid and without row's area's grid
Spoke brightness similarity, and the process without row area grid maximum with the Qian Pai areas grid similarity is obtained, including：
Qian Pai areas grid and spoke brightness similarity without row's area's grid are calculated using different similarity measurements flow function, and is obtained
Obtain one-to-one with the similarity measurements flow function multigroup without row's area's grid；
The average and standard deviation of each Zu Wupai areas grid and the spoke luminance difference absolute value of Qian Pai areas grid are calculated, it is described
The minimum Zu Wupai areas grid of the average and standard deviation of spoke luminance difference absolute value is and the Qian Pai areas grid similarity
It is maximum without row's area's grid, the similarity it is maximum be without the corresponding similarity measurements flow function of row's area's grid it is described to be monitored
The optimal similarity measurements flow function in region.
6. method according to claim 5, it is characterised in that the similarity measurements flow function include cosine metric function,
Pearson correlation coefficient and Euclidean distance function.
7. region substitutes the acquisition system of fiducial temperature in a kind of power plant's warm water discharge monitoring, it is characterised in that including：
Acquisition module, for obtaining the extra large table spoke brightness image before area alignment warm water discharge to be monitored；
Division module, for the extra large table spoke brightness image to be divided into multiple grids；
Sort module, for the Qian Pai areas according to the region to be monitored and without row area, Qian Pai areas is divided into by the multiple grid
Grid and without row area's grid；
Computing module, for calculating Qian Pai areas grid and being dived with described without the spoke brightness similarity for arranging area's grid, and acquisition
Row's area grid similarity it is maximum without row's area's grid, the maximum sea surface temperature without the corresponding region of row's area's grid of the similarity
Average is the fiducial temperature of the monitoring for carrying out warm water discharge.
8. system according to claim 7, it is characterised in that the acquisition module includes：
Acquiring unit, for obtaining the remote sensing image data before area alignment warm water discharge to be monitored；
Processing unit, for being pre-processed to the remote sensing image, to obtain the spoke brightness image of the remote sensing image data；
Separative element, for the land image in the spoke brightness image to be separated, to obtain area alignment warm water discharge to be monitored
Extra large table spoke brightness image before.
9. system according to claim 8, it is characterised in that the division module includes：
Mesh scale unit, for determining net according to the complexity of the variance of pixel, default extraction accuracy and algorithm in grid
The yardstick of lattice, the variance of pixel is less than or equal to 0.5 in the grid；
Mesh generation unit, multiple grids are divided into for the yardstick according to the grid by the extra large table spoke brightness image.
10. system according to claim 9, it is characterised in that the computing module includes：
First computing unit, for calculating Qian Pai areas grid and without row's area's grid using different similarity measurements flow functions
Spoke brightness similarity, and obtain one-to-one with the similarity measurements flow function multigroup without row's area's grid；
Second computing unit, for calculating each Zu Wupai areas grid with the spoke luminance difference absolute value of Qian Pai areas grid
Average and standard deviation, the minimum Zu Wupai areas grid of the average and standard deviation of the spoke luminance difference absolute value be with it is described
Qian Pai areas grids similarity it is maximum without row's area's grid, the similarity it is maximum without the corresponding similarity measurement letter of row's area's grid
Number is the optimal similarity measurements flow function in the region to be monitored.
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| CN105241429B (en) * | 2015-09-22 | 2017-08-25 | 中国科学院上海技术物理研究所 | A kind of offshore industry warm water discharge extracting method based on air remote sensing |
| CN108615054B (en) * | 2018-04-18 | 2020-06-05 | 清华大学 | Method for constructing comprehensive index for measuring similarity between drainage pipe network nodes |
| CN113970376B (en) * | 2021-09-07 | 2023-10-31 | 中国科学院空天信息创新研究院 | Satellite infrared load calibration method based on marine region re-analysis data |
| CN115144095B (en) * | 2022-09-06 | 2022-11-11 | 自然资源部第一海洋研究所 | Method and system for determining background water temperature of warm water drainage of operated nuclear power plant based on remote sensing |
| CN115962851B (en) * | 2022-11-29 | 2023-12-12 | 生态环境部卫星环境应用中心 | Nuclear power temperature drainage reference temperature determining method and device based on temperature remote sensing inversion |
| CN115796076B (en) * | 2022-11-30 | 2023-07-21 | 生态环境部卫星环境应用中心 | Nuclear power temperature drainage reference temperature determining method and device fused with hydrodynamic model |
| CN115730536B (en) * | 2022-11-30 | 2023-04-21 | 生态环境部卫星环境应用中心 | Nuclear power temperature drainage reference temperature field determining method and device fused with hydrodynamic model |
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