CN115796076A - Nuclear power warm water drainage reference temperature determination method and device fused with hydrodynamic model - Google Patents
Nuclear power warm water drainage reference temperature determination method and device fused with hydrodynamic model Download PDFInfo
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- CN115796076A CN115796076A CN202211529107.6A CN202211529107A CN115796076A CN 115796076 A CN115796076 A CN 115796076A CN 202211529107 A CN202211529107 A CN 202211529107A CN 115796076 A CN115796076 A CN 115796076A
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Abstract
The invention discloses a method and a device for determining nuclear power warm water drainage reference temperature fused with a hydrodynamic model, and belongs to the technical field of remote sensing. According to the method, the non-drainage area which is optimally similar to the submerged drainage area is not used for replacing the submerged drainage area, a more scientific and reasonable calculation method is used for predicting the simulated temperature value of the submerged drainage area by using the hydrodynamic model, and the mean value of the simulated temperature field of the water body in the sea area influenced by the nuclear power plant temperature drainage is obtained and used as the reference temperature. The method does not need to rely on subjective experience, and improves the objectivity and the accuracy of the evaluation of the warm water discharge environment influence of the nuclear power station. The hydrodynamic model has good precision on historical data, the obtained simulated temperature value of the latent exhaust area has high precision, and the obtained reference temperature has high accuracy. The method is applicable to coastal nuclear power plant warm water drainage monitoring areas in different sea areas, and improves the portability of an algorithm or a model.
Description
Technical Field
The invention relates to the technical field of remote sensing, in particular to a method and a device for determining nuclear power warm water discharge reference temperature fused with a hydrodynamic model.
Background
At present, china has a plurality of commercially transported nuclear power plants such as Dayawan, qin mountain, tianwan, ningde, hongdiahe river, sanmen and Yangjiang river. The nuclear power plant provides a large amount of electric energy, and simultaneously discharges cooling water to nearby sea areas continuously, so that the temperature of the water areas is increased, and the quantity, the types and the community structure of aquatic organisms in the surrounding water areas are influenced to different degrees. The seawater which is discharged into the sea area from the nuclear power plant and has higher temperature than the surrounding seawater is warm discharged water.
The current nuclear power warm water discharge heat influence monitoring and evaluation mainly adopts three technical means of on-site observation, remote sensing monitoring and simulation monitoring. The satellite remote sensing has the advantages of large range, intuition, visibility, good synchronism, low cost and the like, and with the development of remote sensing temperature inversion technology, remote sensing monitoring becomes the preferred technology for monitoring and evaluating the thermal pollution of the warm water discharge of the nuclear power plant at present. The core problem of monitoring and evaluating nuclear power warm water discharge heat influence by satellite remote sensing is to determine a scientific and reasonable evaluation reference, namely reference temperature. The determination of the reference temperature is an important part in the remote sensing monitoring of nuclear power warm water drainage, and the change of the reference temperature can greatly influence the evaluation of warm water drainage areas and strength. Therefore, the reference temperature is set scientifically, and the method has important significance for regularly and accurately investigating and evaluating the influence range and strength of warm water discharge and evaluating the influence of nuclear power warm water discharge on the seawater environment.
The reference temperature results obtained by different calculation methods or models at present have large differences, so that a certain dispute exists for the actual situation of objective reaction warm water drainage, and the transportability of the method or the model is poor. However, in actual work, workers usually select a reference temperature calculation method by means of subjective experience of the workers or calculate and compare 5 to 6 different calculation methods one by one to determine the most appropriate reference temperature calculation method according to different research areas, which causes inaccuracy of the monitoring result of the temperature rise range of the nuclear power station warm water discharge and directly influences the objectivity and accuracy of evaluation of the influence on the nuclear power station warm water discharge environment.
For example, a currently common reference temperature calculation method is to use a remote sensing average temperature of a region which is not affected by warm water discharge and is optimally similar to a background temperature of a warm water discharge region in a region near a nuclear power plant as a warm water discharge reference temperature. The specific method is based on a temperature rise influence area determined after the temperature drainage of the nuclear power plant is discharged, and the research area is divided into a non-drainage area (an area which is not influenced by the temperature drainage) and a submerged drainage area (a temperature drainage temperature rise influence area). The method comprises the steps of carrying out statistical analysis on temperature data obtained by inverting historical remote sensing images before warm water drainage is carried out, so that optimal similar areas on a submerged drainage area and a non-drainage area are established, using a remote sensing inversion temperature mean value of the optimal similar non-drainage area as a reference temperature substitution value of a nearby sea area warm water drainage submerged drainage area, further obtaining spatial distribution information such as warm water temperature rise intensity and area, and carrying out evaluation analysis on warm water drainage.
However, there is a difference between the non-drainage area and the submerged drainage area which are best similar to the submerged drainage area, and the non-drainage area and the submerged drainage area are only similar but not identical.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a device for determining the nuclear power warm water discharge reference temperature fused with a hydrodynamic model, the nuclear power warm water discharge reference temperature is obtained through a more scientific and reasonable calculation method, and the objectivity, the accuracy and the transportability of the evaluation of the nuclear power station warm water discharge environment influence are improved.
The technical scheme provided by the invention is as follows:
a nuclear power warm drainage reference temperature determination method fused with a hydrodynamic model comprises the following steps:
s100: acquiring historical data of a sea surface temperature field before the nuclear power plant operates; the historical data of the sea surface temperature field cover a sea area range set around a water outlet of the nuclear power plant;
s200: dividing historical data of the sea surface temperature field into temperature data of an input area and temperature data of a verification area;
s300: dividing the sea area range into grids consistent with pixels of historical data of the sea surface temperature field based on the hydrodynamic model with the known sea area range, and simulating by taking the temperature data of the input area as input to obtain simulated temperature data of a verification area;
s400: calculating a simulation error based on the verification area simulation temperature data obtained by simulation and the verification area temperature data, optimizing the parameters of the hydrodynamic model based on the simulation error, and returning to S300 for repeated iteration until the simulation error is smaller than a set error threshold;
s500: obtaining sea surface temperature field data of the sea area range at the time to be researched after the nuclear power plant operates;
s600: dividing the sea surface temperature field data into submarine drainage area temperature data and non-drainage area temperature data according to the range of the existing warm drainage submarine drainage area;
s700: dividing the sea area range into grids consistent with pixels of the sea surface temperature field data based on the hydrodynamic model after the sea area range is optimized, and simulating by taking the non-emission area temperature data as input to obtain simulated temperature data of a submarine emission area;
s800: calculating the average value of the temperature values of all pixels in the simulated temperature data of the latent heat drain area to serve as the nuclear power temperature drain reference temperature;
s900: and subtracting the nuclear power warm drainage reference temperature from the temperature value of each pixel in the latent drainage area temperature data to obtain warm drainage temperature rise intensity data.
Further, the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel element in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area.
Alternatively, the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And (3) the temperature value of the jth pixel in the verification area simulation temperature data is obtained, N is the total number of the verification area pixels, and delta is a set parameter.
Further, the S100 includes:
s101: acquiring a historical thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet before the nuclear power plant operates;
s102: performing image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range;
s103: and performing sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on a known water body temperature inversion model to obtain historical data of the sea surface temperature field.
Furthermore, the time of the historical thermal infrared remote sensing image is within 1 year before the first unit of the nuclear power plant operates.
Further, the S500 includes:
s501: acquiring a thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet at a to-be-researched moment after a nuclear power plant operates;
s502: performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range;
s503: and performing sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on a known water body temperature inversion model to obtain the sea surface temperature field data.
A nuclear power warm discharge water reference temperature determination apparatus fused with a hydrodynamic model, the apparatus comprising:
the historical data acquisition module is used for acquiring historical data of a sea surface temperature field before the nuclear power plant operates; the historical data of the sea surface temperature field cover a sea area range set around a water outlet of the nuclear power plant;
the historical data dividing module is used for dividing the historical data of the sea surface temperature field into input area temperature data and verification area temperature data;
the first simulation module is used for dividing the sea area range into grids consistent with pixels of historical data of the sea surface temperature field based on the hydrodynamic model with the known sea area range, and performing simulation by taking the temperature data of the input area as input to obtain simulation temperature data of a verification area;
the verification module is used for calculating a simulation error based on verification area simulation temperature data obtained through simulation and the verification area temperature data, optimizing parameters of the hydrodynamic model based on the simulation error, and returning to the first simulation module for repeated iteration until the simulation error is smaller than a set error threshold;
the data acquisition module to be researched is used for acquiring the sea surface temperature field data of the sea area range at the moment to be researched after the nuclear power plant operates;
the data dividing module to be researched is used for dividing the data of the sea surface temperature field into temperature data of a submerged drainage area and temperature data of a non-drainage area according to the range of the existing warm drainage submerged drainage area;
the second simulation module is used for dividing the sea area range into grids consistent with pixels of the sea surface temperature field data based on the hydrodynamic model after the sea area range is optimized, and performing simulation by taking the non-drainage area temperature data as input to obtain simulated temperature data of a submerged drainage area;
the reference temperature determining module is used for calculating the average value of the temperature values of all pixels in the simulated temperature data of the latent heat draining area as the nuclear power temperature draining reference temperature;
and the temperature rise intensity analysis module is used for subtracting the nuclear power temperature drainage reference temperature from the temperature value of each pixel in the temperature data of the latent drainage area to obtain temperature drainage temperature rise intensity data.
Further, the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area.
Alternatively, the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area, and delta is a set parameter.
Further, the historical data acquisition module comprises:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a historical thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet before the nuclear power plant operates;
the first preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range;
and the first inversion unit is used for performing sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on a known water body temperature inversion model to obtain the historical data of the sea surface temperature field.
Furthermore, the time of the historical thermal infrared remote sensing image is within 1 year before the first unit of the nuclear power plant operates.
Further, the module for acquiring data to be studied includes:
the second acquisition unit is used for acquiring a thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet at the time to be researched after the nuclear power plant operates;
the second preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range;
and the second inversion unit is used for carrying out sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on a known water body temperature inversion model to obtain the sea surface temperature field data.
The invention has the following beneficial effects:
according to the method, a hydrodynamic model is optimized through sea surface temperature field historical data of a sea area range before the nuclear power plant operates, sea surface temperature field data of a non-emission area is used as input for the sea surface temperature field data after the nuclear power plant operates, theoretical data, which are not influenced by warm water discharge, of a submerged emission area after the nuclear power plant operates are simulated according to the optimized hydrodynamic model, and the mean value of the temperature data is used as a reference temperature. The method does not need to rely on subjective experience, is completely automatic, and improves the objectivity and accuracy of the evaluation of the influence of the warm water discharge environment of the nuclear power station.
Compared with the prior art, the method is different from the prior art, the submarine emission area is not replaced by the non-emission area which is optimally similar to the submarine emission area, the simulated temperature value of the submarine emission area is conjectured by a more scientific and reasonable calculation method through the hydrodynamic model, and the mean value of the simulated temperature field of the water body of the sea area influenced by the warm water discharge of the nuclear power plant is obtained and used as the reference temperature. And as the hydrodynamic model obtains good precision on historical data, the obtained simulated temperature value of the latent exhaust area has higher precision, and the obtained reference temperature has better accuracy. In addition, the method can be applied to the coastal nuclear power plant warm water drainage monitoring areas in different sea areas, and the transportability of an algorithm or a model is enhanced.
Drawings
FIG. 1 is a flow chart of a nuclear power warm water discharge reference temperature determination method of a fusion hydrodynamic model of the present invention;
fig. 2 is a schematic diagram of the nuclear power temperature drainage reference temperature determination device fused with the hydrodynamic model.
Detailed Description
To make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides a method for determining nuclear power warm drainage reference temperature fused with a hydrodynamic model, which comprises the following steps of:
s100: obtaining historical data of a sea surface temperature field before operation of a nuclear power plant; wherein, the historical data of the sea surface temperature field cover the sea area range set around the nuclear power plant water outlet.
In the step, a thermal infrared remote sensing image of a sea area range near a nuclear power plant water outlet needs to be obtained, needed preprocessing is carried out, temperature inversion is carried out according to the thermal infrared remote sensing image, and historical data of a sea surface temperature field are obtained. The sea surface temperature field historical data exist in a pixel form, the sea area range is divided into a plurality of pixels, the size of each pixel is related to the spatial resolution of the thermal infrared remote sensing image, and each pixel has a temperature value to form the sea surface temperature field historical data.
S200: and dividing historical data of the sea surface temperature field into temperature data of an input area and temperature data of a verification area.
The acquired historical data of the sea surface temperature field is used for optimizing the hydrodynamic model of the sea area range, and the historical data of the sea surface temperature field needs to be divided into input data and verification data, namely input area temperature data and verification area temperature data. The input zone temperature data and the verification zone temperature data are also in the form of picture elements, both of which are part of the history of the sea surface temperature field.
S300: and dividing the sea area range into grids consistent with pixels of historical data of a sea surface temperature field based on a known sea area range hydrodynamic model, and simulating by taking the temperature data of the input area as input to obtain the simulated temperature data of the verification area.
The hydrodynamic model is a mathematical model for describing the correlation between water flow stress and motion, and is established according to a fluid mechanics basic equation to carry out numerical simulation on the dynamic process of flowing water. The hydrodynamic model of the sea area around the nuclear power station in China is known and can be directly used.
And inputting the temperature data of the input area as the input of the hydrodynamic model and the hydrodynamic model together with other input data required by the hydrodynamic model, and simulating to obtain the simulated temperature data of the verification area, namely the temperature simulation value of each pixel of the verification area. Other input data required by the hydrodynamic model may vary from hydrodynamic model to hydrodynamic model, and generally includes hydrological data, meteorological data, and seafloor elevation data.
The hydrodynamic model is simulated by using raster data, so that the sea area range is divided into grids consistent with pixels of the thermal infrared remote sensing image (namely sea surface temperature field historical data) according to the spatial resolution of the thermal infrared remote sensing image, and the temperature value of each grid is consistent with the temperature value of the pixels at the same position. The simulation temperature data of the verification area obtained by the hydrodynamic model simulation exists in the form of grids (pixels), the grids correspond to the pixels of the temperature data of the verification area one by one, and the grids and the pixels are completely consistent, so the grids are also called as the pixels in the invention.
S400: and calculating a simulation error based on the simulated temperature data of the verification area and the simulated temperature data of the verification area obtained through simulation, optimizing the parameters of the hydrodynamic model based on the simulation error, and returning to S300 for repeated iteration until the simulation error is smaller than a set error threshold.
The temperature data of the verification area is obtained by inversion of the thermal infrared remote sensing image, is a true temperature value of each pixel of the verification area, is compared with a temperature simulation value (namely, simulation temperature data of the verification area) of each pixel of the verification area, so that a simulation error of the hydrodynamic model can be calculated, and parameters of the hydrodynamic model are optimized according to the error, so that the direction of reducing the simulation error tendency is optimized. And then, simulating, calculating a simulation error and optimizing parameters again until the simulation error is smaller than an error threshold value, and determining that the accuracy of the hydrodynamic model reaches the expectation.
S500: and acquiring the sea surface temperature field data of the sea area range of the nuclear power plant at the time to be researched after the nuclear power plant operates.
The implementation of this step is the same as S100, except that the time of the acquired data of the temperature field of the sea surface is different, and is not described here again.
S600: according to the range of the existing warm water drainage submerged region, the data of the sea surface temperature field are divided into submerged region temperature data and non-drainage region temperature data.
After the nuclear power plant operates, a hidden emission area and a non-emission area of the nuclear power plant can be determined, and then each pixel of the sea surface temperature field data is divided according to the range of the hidden emission area, so that the temperature data of the hidden emission area and the temperature data of the non-emission area can be obtained.
S700: and dividing the sea area range into grids consistent with pixels of the sea surface temperature field data based on the hydrodynamic model after the sea area range is optimized, and simulating by taking the non-emission area temperature data as input to obtain simulated temperature data of the submerged emission area.
The hydrodynamic model has been optimized to the desired accuracy as described above, and thus can accurately simulate the sea surface temperature of each grid (pixel) in the sea area. And inputting the temperature data of the emission-free area after the nuclear power plant is operated and other input data required by the hydrodynamic model into the optimized hydrodynamic model together, so as to obtain simulated temperature data of the latent emission area after the power plant is operated.
The hydrodynamic model is used for optimizing historical data of a sea surface temperature field before the nuclear power plant operates, and reflects the rule of the temperature values of all pixels when the temperature values are not influenced by warm water drainage in a sea area range, and the temperature data of a non-drainage area after the nuclear power plant operates is not influenced by the warm water drainage. Therefore, the simulated temperature data of the latent heat extraction area, which is obtained by simulating the temperature data of the non-heat extraction area after the operation of the nuclear power plant through the hydrodynamic model, is the theoretical data of the latent heat extraction area after the operation of the nuclear power plant, which is not influenced by warm water extraction.
S800: and calculating the average value of the temperature values of all pixels in the simulated temperature data of the latent heat drainage area as the nuclear power temperature drainage reference temperature.
The simulated temperature data of the latent heat drain area are data in a grid form and correspond to pixels of thermal infrared remote sensing image data one by one, and the simulated temperature data of the latent heat drain area represent theoretical data that the latent heat drain area after the nuclear power plant operates and is not influenced by temperature drainage, so that the temperature values of all the pixels in the simulated temperature data of the latent heat drain area are averaged, and the temperature values can be used as the nuclear power temperature drainage reference temperature.
S900: and subtracting the nuclear power temperature drainage reference temperature from the temperature value of each pixel in the temperature data of the latent drainage area to obtain temperature drainage temperature rise intensity data.
After the nuclear power warm water discharge reference temperature is obtained, subtracting the reference temperature from the temperature data of the submerged region to obtain warm water discharge temperature rise intensity data, wherein the data comprise spatial distribution information such as warm water discharge temperature rise intensity, area and the like, and are used for evaluating and analyzing warm water discharge.
According to the method, the hydrodynamic model is optimized through the historical data of the sea surface temperature field in the sea area range before the nuclear power plant operates, the sea surface temperature field data of the emission-free area is used as input for the sea surface temperature field data after the nuclear power plant operates, theoretical data which are not influenced by warm water emission in the submerged emission area after the nuclear power plant operates are simulated according to the optimized hydrodynamic model, and the mean value of the temperature data is used as the reference temperature. The method does not need to rely on subjective experience, is completely automatic, and improves the objectivity and accuracy of the evaluation of the influence of the warm water discharge environment of the nuclear power station.
Compared with the prior art, the method is different from the prior art, a non-drainage area which is optimally similar to a submerged drainage area is not used for replacing the submerged drainage area, a more scientific and reasonable calculation method is used for conjecturing the simulated temperature value of the submerged drainage area by using the hydrodynamic model, and the mean value of the simulated temperature field of the water body of the sea area influenced by the temperature drainage of the nuclear power plant is obtained and used as the reference temperature. And as the hydrodynamic model obtains good precision on historical data, the precision of the obtained simulated temperature value of the latent heat dissipation area is higher, and the obtained reference temperature has better accuracy. In addition, the method can be applied to the coastal nuclear power plant warm water drainage monitoring areas in different sea areas, and the transportability of an algorithm or a model is enhanced.
In the present invention, the simulation error Δ T can be calculated by the following formula.
Wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel (grid) in the temperature data of the verification area, wherein N is the total number of the pixels of the verification area.
The average error of each pixel is calculated by the above formula, and the error threshold may be set to 0.5, and if the simulation error is greater than 0.5 ℃, the process is repeated by 300 until the average error of the temperature field simulated by the hydrodynamic model is within 0.5 ℃.
Further, the above average error can also be optimized to be in the form of mean square error, that is:
still further, the following optimization is possible.
Wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area, and delta is a set parameter.
It can be seen that using the mean square error in [ - δ, δ ], and the linear error in the (∞, δ) and (δ, + ∞) intervals reduces the effect of outliers.
As an improvement of the embodiment of the present invention, the S100 includes:
s101: and acquiring a historical thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet before the nuclear power plant operates.
For example, historical thermal infrared remote sensing images of the first unit of the nuclear power plant within 1 year before operation can be obtained.
S102: and (4) carrying out image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range.
The image cutting method cuts a satellite remote sensing image covering a large range into a small range image only covering a research area (namely, a sea area range) so as to reduce the storage space of data and improve the subsequent processing speed of the image.
And cloud interference on the satellite remote sensing image is removed through cloud removing.
The Water body extraction can be performed based on Normalized Difference Water Index (NDWI) or based on the existing ocean boundary vector.
S103: and performing sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on the known water body temperature inversion model to obtain the historical data of the sea surface temperature field.
Correspondingly, the S500 includes:
s501: and acquiring a thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet at the time to be researched after the nuclear power plant operates.
S502: and (4) performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range.
S503: and performing sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on the known water body temperature inversion model to obtain sea surface temperature field data.
The steps S501 to S503 are similar to the steps S101 to S103, and are not described herein again.
An embodiment of the present invention further provides a nuclear power thermal water discharge reference temperature determining device fused with a hydrodynamic model, as shown in fig. 2, the device includes:
the historical data acquisition module 1 is used for acquiring historical data of a sea surface temperature field before the nuclear power plant operates; the historical data of the sea surface temperature field cover a sea area range set around a water outlet of the nuclear power plant.
And the historical data dividing module 2 is used for dividing the historical data of the sea surface temperature field into input area temperature data and verification area temperature data.
And the first simulation module 3 is used for dividing the sea area range into grids consistent with pixels of historical data of the sea surface temperature field based on the known sea area range hydrodynamic model, and performing simulation by taking the input area temperature data as input to obtain simulation temperature data of a verification area.
And the verification module 4 is used for calculating a simulation error based on the verification area simulation temperature data and the verification area temperature data obtained through simulation, optimizing the parameters of the hydrodynamic model based on the simulation error, and returning to the first simulation module for repeated iteration until the simulation error is smaller than a set error threshold.
And the data to be researched obtaining module 5 is used for obtaining the sea surface temperature field data of the sea area range at the time to be researched after the nuclear power plant operates.
And the data to be researched dividing module 6 is used for dividing the data of the sea surface temperature field into temperature data of the submerged region and temperature data of the non-drainage region according to the range of the existing warm water drainage submerged region.
And the second simulation module 7 is configured to divide the sea area range into grids consistent with pixels of the sea surface temperature field data based on the sea area range optimized hydrodynamic model, and perform simulation by using the non-emission region temperature data as an input to obtain simulated temperature data of the submerged emission region.
And the reference temperature determining module 8 is used for calculating the average value of the temperature values of all the pixels in the simulated temperature data of the latent heat drain area as the nuclear power temperature drain reference temperature.
And the temperature rise intensity analysis module 9 is used for subtracting the nuclear power temperature drainage reference temperature from the temperature value of each pixel in the temperature data of the latent drainage area to obtain temperature drainage temperature rise intensity data.
According to the method, a hydrodynamic model is optimized through sea surface temperature field historical data of a sea area range before the nuclear power plant operates, sea surface temperature field data of a non-emission area is used as input for the sea surface temperature field data after the nuclear power plant operates, theoretical data, which are not influenced by warm water discharge, of a submerged emission area after the nuclear power plant operates are simulated according to the optimized hydrodynamic model, and the mean value of the temperature data is used as a reference temperature. The method does not need to rely on subjective experience, is completely automatic, and improves the objectivity and accuracy of the evaluation of the influence of the warm water discharge environment of the nuclear power station.
Compared with the prior art, the method is different from the prior art, a non-drainage area which is optimally similar to a submerged drainage area is not used for replacing the submerged drainage area, a more scientific and reasonable calculation method is used for conjecturing the simulated temperature value of the submerged drainage area by using the hydrodynamic model, and the mean value of the simulated temperature field of the water body of the sea area influenced by the temperature drainage of the nuclear power plant is obtained and used as the reference temperature. And as the hydrodynamic model obtains good precision on historical data, the obtained simulated temperature value of the latent exhaust area has higher precision, and the obtained reference temperature has better accuracy. In addition, the method can be applied to the coastal nuclear power plant warm water drainage monitoring areas in different sea areas, and the transportability of an algorithm or a model is enhanced.
In the invention, the simulation error Δ T can be calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area.
Alternatively, the simulation error Δ T may also be calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area, and delta is a set parameter.
The historical data acquisition module comprises:
the nuclear power plant water outlet automatic control system comprises a first obtaining unit, a second obtaining unit and a control unit, wherein the first obtaining unit is used for obtaining historical thermal infrared remote sensing images covering a sea area range set around a nuclear power plant water outlet before a nuclear power plant operates.
And the first preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range.
The first inversion unit is used for performing sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on the known water body temperature inversion model to obtain historical data of the sea surface temperature field.
Preferably, the time of the historical thermal infrared remote sensing image is within 1 year before the operation of the first unit of the nuclear power plant.
Correspondingly, the data acquisition module to be researched comprises:
and the second acquisition unit is used for acquiring a thermal infrared remote sensing image covering a sea area range set around a water outlet of the nuclear power plant at the time to be researched after the nuclear power plant operates.
And the second preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range.
And the second inversion unit is used for carrying out sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on the known water body temperature inversion model to obtain sea surface temperature field data.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiment, and for the sake of brief description, reference may be made to the corresponding content in the method embodiment 1 without reference to the device embodiment. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present invention, which are used to illustrate the technical solutions of the present invention, but not to limit the technical solutions, and the scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the above-mentioned embodiments. Those of ordinary skill in the art will understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention.
Claims (10)
1. A nuclear power temperature drainage reference temperature determination method fused with a hydrodynamic model is characterized by comprising the following steps:
s100: obtaining historical data of a sea surface temperature field before operation of a nuclear power plant; the historical data of the sea surface temperature field cover a sea area range set around a water outlet of the nuclear power plant;
s200: dividing historical data of the sea surface temperature field into temperature data of an input area and temperature data of a verification area;
s300: dividing the sea area range into grids consistent with pixels of historical data of the sea surface temperature field based on the known sea area range hydrodynamic model, and simulating by taking the temperature data of the input area as input to obtain simulated temperature data of a verification area;
s400: calculating a simulation error based on the simulated temperature data of the verification area obtained through simulation and the temperature data of the verification area, optimizing the parameters of the hydrodynamic model based on the simulation error, and returning to S300 for repeated iteration until the simulation error is smaller than a set error threshold;
s500: obtaining the sea surface temperature field data of the sea area range at the time to be researched after the nuclear power plant operates;
s600: dividing the data of the sea surface temperature field into temperature data of a submerged drainage area and temperature data of a non-drainage area according to the range of the existing warm drainage submerged drainage area;
s700: dividing the sea area range into grids consistent with pixels of the sea surface temperature field data based on the hydrodynamic model after the sea area range is optimized, and simulating by taking the non-emission area temperature data as input to obtain simulated temperature data of a submarine emission area;
s800: calculating the average value of the temperature values of all pixels in the simulated temperature data of the latent heat drain area to serve as the nuclear power temperature drain reference temperature;
s900: and subtracting the nuclear power warm drainage reference temperature from the temperature value of each pixel in the latent drainage area temperature data to obtain warm drainage temperature rise intensity data.
2. The method for determining the nuclear power warm water discharge reference temperature fused with the hydrodynamic model according to claim 1, wherein the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data of the verification area, wherein N is the total number of the pixels in the verification area.
3. The method for determining the nuclear power warm water discharge reference temperature fused with the hydrodynamic model according to claim 1, wherein the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel in the temperature data of the verification area j And simulating the temperature value of the jth pixel in the temperature data for the verification area, wherein N is the total number of the pixels in the verification area, and delta is a set parameter.
4. The method for determining the nuclear power warm water discharge reference temperature fused with the hydrodynamic model according to any one of claims 1 to 3, wherein the step S100 includes:
s101: acquiring a historical thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet before the nuclear power plant operates;
s102: performing image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range;
s103: and carrying out sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on a known water body temperature inversion model to obtain historical data of the sea surface temperature field.
5. The method for determining the nuclear power warm water discharge reference temperature fused with the hydrodynamic model according to claim 4, wherein the time of the historical thermal infrared remote sensing image is within 1 year before the first unit of the nuclear power plant operates.
6. The method for determining the nuclear power warm water discharge reference temperature fused with the hydrodynamic model according to claim 4, wherein the step S500 includes:
s501: acquiring a thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet at a to-be-researched moment after a nuclear power plant operates;
s502: performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range;
s503: and carrying out sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on a known water body temperature inversion model to obtain the sea surface temperature field data.
7. A nuclear power temperature drainage reference temperature determination device fused with a hydrodynamic model is characterized by comprising:
the historical data acquisition module is used for acquiring historical data of a sea surface temperature field before the nuclear power plant operates; the historical data of the sea surface temperature field cover a sea area range set around a water outlet of the nuclear power plant;
the historical data dividing module is used for dividing the historical data of the sea surface temperature field into input area temperature data and verification area temperature data;
the first simulation module is used for dividing the sea area range into grids consistent with pixels of historical data of the sea surface temperature field based on the hydrodynamic model with the known sea area range, and simulating by taking the temperature data of the input area as input to obtain simulated temperature data of a verification area;
the verification module is used for calculating a simulation error based on verification area simulation temperature data obtained through simulation and the verification area temperature data, optimizing parameters of the hydrodynamic model based on the simulation error, and returning to the first simulation module for repeated iteration until the simulation error is smaller than a set error threshold;
the data acquisition module to be researched is used for acquiring the sea surface temperature field data of the sea area range at the time to be researched after the nuclear power plant operates;
the data dividing module to be researched is used for dividing the data of the sea surface temperature field into temperature data of a submerged drainage area and temperature data of a non-drainage area according to the range of the existing warm drainage submerged drainage area;
the second simulation module is used for dividing the sea area range into grids consistent with pixels of the sea surface temperature field data based on the hydrodynamic model after the sea area range is optimized, and performing simulation by taking the non-drainage area temperature data as input to obtain simulated temperature data of a submerged drainage area;
the reference temperature determining module is used for calculating the average value of the temperature values of all pixels in the simulated temperature data of the latent heat drain area to serve as the nuclear power temperature drain reference temperature;
and the temperature rise intensity analysis module is used for subtracting the nuclear power temperature drainage reference temperature from the temperature value of each pixel in the temperature data of the latent drainage area to obtain temperature drainage temperature rise intensity data.
8. The device for determining the nuclear power warm drainage reference temperature fused with the hydrodynamic model according to claim 7, wherein the simulation error Δ T is calculated by the following formula;
wherein x is i Is the temperature value y of the ith pixel element in the temperature data of the verification area j And (3) the temperature value of the jth pixel in the verification area simulation temperature data is obtained, N is the total number of the verification area pixels, and delta is a set parameter.
9. The apparatus for determining nuclear power warm water discharge reference temperature fused with hydrodynamic model according to claim 7 or 8, wherein the historical data obtaining module comprises:
the system comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, wherein the first acquisition unit is used for acquiring a historical thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet before the nuclear power plant operates;
the first preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the historical thermal infrared remote sensing image to obtain the historical thermal infrared remote sensing image in the sea area range;
and the first inversion unit is used for performing sea surface temperature inversion on the historical thermal infrared remote sensing image of the sea area range based on a known water body temperature inversion model to obtain historical data of the sea surface temperature field.
10. The apparatus for determining a nuclear power warm-water discharge reference temperature fused with a hydrodynamic model according to claim 9, wherein the module for acquiring data to be studied includes:
the second acquisition unit is used for acquiring a thermal infrared remote sensing image covering a sea area range set around a nuclear power plant water outlet at a to-be-researched moment after the nuclear power plant operates;
the second preprocessing unit is used for performing image cutting, cloud removing and water body extraction on the thermal infrared remote sensing image to obtain the thermal infrared remote sensing image in the sea area range;
and the second inversion unit is used for carrying out sea surface temperature inversion on the thermal infrared remote sensing image in the sea area range based on a known water body temperature inversion model to obtain the sea surface temperature field data.
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