Solar radiation distribution prediction method, device, computer equipment and storage medium

Abstract

The present invention relates to the field of solar energy technology, and discloses a prediction method, device, computer equipment and storage medium for solar radiation distribution. The prediction method for solar radiation distribution includes: obtaining the circumsolar radiation intensity and normal radiation; obtaining the circumsolar radiation ratio according to the circumsolar radiation intensity and normal radiation; obtaining a full sky image, performing feature matching between the full sky image and a preset cloud feature, and generating cloud amount, cloud shape and cloud bottom height according to the feature matching result; obtaining a first direct radiation value of the solar disk; measuring a second direct radiation value of the solar circumference; measuring a scattered radiation value of the solar periphery; predicting the solar radiation distribution according to the circumsolar radiation ratio, cloud amount, cloud shape, cloud bottom height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value of the solar periphery. The present invention predicts the solar radiation distribution according to direct radiation and scattered radiation at different angles, and the prediction result obtained is more accurate.

Description

Technical Field

[0001] The present invention relates to the field of solar energy technology, and in particular to a method, device, computer equipment and storage medium for predicting solar radiation distribution. Background Art

[0002] Light resources are mainly affected by solar irradiance, cloud obstruction and haze weather. Among the related technologies, there are statistical methods and physical model methods for predicting light resources. The statistical method is the most common in current research. Commonly used statistical methods include time series method, back propagation neural network method, radial basis function neural network method and support vector mechanism.

[0003] However, the prediction of light resources in the related technology only counts the direct radiation, does not consider the impact of environmental factors on direct radiation, and does not clearly distinguish between direct radiation and scattered radiation under the influence of environmental factors. Therefore, the prediction of light resources in the related technology is relatively rough and the prediction results are inaccurate. Summary of the invention

[0004] In view of this, the present invention provides a method, apparatus, computer device and storage medium for predicting solar radiation distribution to solve the problem of inaccurate prediction results.

[0005] In a first aspect, the present invention provides a method for predicting solar radiation distribution, comprising:

[0006] Obtain the circumsolar radiation intensity and normal irradiance; obtain the circumsolar radiation ratio based on the circumsolar radiation intensity and normal irradiance; obtain the full sky image, perform feature matching on the full sky image with preset cloud features, and generate cloud amount, cloud shape, and cloud base height based on the feature matching results; obtain the first direct radiation value of the solar disk; measure the second direct radiation value of the solar circumference; measure the scattered radiation value of the sun's periphery; predict the solar radiation distribution based on the circumsolar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the sun's periphery.

[0007] Beneficial effect: In the embodiment of the present invention, the annular radiation ratio is calculated according to the annular radiation intensity and the normal irradiance, and the cloud amount, cloud shape and cloud bottom height are generated according to the full sky image to obtain the first direct radiation value of the solar disk, measure the second direct radiation value of the solar circumference, and measure the scattered radiation value of the solar periphery. The embodiment of the present invention obtains different types of radiation at different angles, and predicts the solar irradiation distribution according to the different types of radiation at different angles. The obtained solar irradiation distribution is more accurate. Compared with the related art in which only direct radiation is counted, the embodiment of the present invention takes into account the influence of environmental factors on direct radiation and scattered radiation, and obtains direct radiation and scattered radiation at different angles respectively. According to the different types of radiation at different angles under the influence of environmental factors, the solar irradiation distribution is predicted. The prediction method of the embodiment of the present invention is more refined and the obtained prediction result is more accurate.

[0008] In an optional implementation, obtaining the circumsolar radiation ratio according to the circumsolar radiation intensity and the normal irradiance includes: determining the quotient of the circumsolar radiation intensity and the normal irradiance as the circumsolar radiation ratio.

[0009] Beneficial effect: The annular solar radiation ratio is caused by the scattering of particles in the atmosphere. When predicting the distribution of solar irradiance, the annular solar radiation ratio data is used so that the prediction process takes into account the scattering of particles in the atmosphere, and the prediction results are more accurate.

[0010] In an optional implementation, the ring-sun radiation ratio is determined according to the following formula:

[0011]

[0012] in, is the circumsolar radiation ratio, is the circumsolar radiation intensity, is the normal irradiance.

[0013] In an optional implementation, the solar disk represents an area within a first preset range of the solar photosphere.

[0014] In an optional embodiment, the solar circumference represents an area within a second preset range of the solar photosphere, and the second preset range is larger than the first preset range.

[0015] Beneficial effects: Obtain direct radiation values ​​at different angles of the solar photosphere to enhance the accuracy of prediction results.

[0016] In an optional embodiment, after measuring the scattered radiation value around the sun, the method also includes: obtaining the scattered radiation values ​​around the sun at multiple angles; establishing a scattered radiation curve in which the scattered radiation values ​​change with the angle under various weather conditions based on the scattered radiation values ​​around the sun at multiple angles; and constructing a mathematical model of sky scattered radiation based on the scattered radiation curve.

[0017] Beneficial effect: In the embodiment of the present invention, the scattered radiation values ​​around the sun at multiple angles are obtained, and a mathematical model of the sky scattered radiation is constructed, so that the scattered radiation values ​​at different angles in the sky can be observed more intuitively.

[0018] In an optional implementation, the sky diffuse radiation mathematical model is expressed as:

[0019]

[0020] in, is the expression of the mathematical model of sky diffuse radiation, is the opening half angle, is the circumsolar radiation ratio, For air quality.

[0021] In an optional implementation, the solar radiation distribution is predicted based on the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery, including:

[0022] The annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value around the sun are input into the trained all-sky anisotropic solar irradiation model to predict the solar radiation distribution.

[0023] Beneficial effects: The solar irradiance distribution is predicted based on the full-sky anisotropic solar irradiance model, which is trained based on a large amount of historical data, so the prediction results are more accurate.

[0024] In an optional embodiment, the method includes training a full-sky anisotropic solar irradiance model, and the method of training the full-sky anisotropic solar irradiance model includes:

[0025] Obtain historical data sets, including historical annular solar radiation ratio, historical cloud amount, historical cloud shape, historical cloud base height, historical first direct radiation value, historical second direct radiation value and historical diffuse radiation value; construct a full-sky anisotropic solar irradiation model; input the historical data sets into the full-sky anisotropic solar irradiation model to train the full-sky anisotropic solar irradiation model; save the trained full-sky anisotropic solar irradiation model.

[0026] In a second aspect, the present invention provides a solar radiation distribution prediction device, comprising:

[0027] A data acquisition module is used to obtain the circumsolar radiation intensity and normal irradiance; a circumsolar radiation ratio determination module is used to obtain the circumsolar radiation ratio based on the circumsolar radiation intensity and normal irradiance; a cloud data acquisition module is used to obtain a full-sky image, perform feature matching on the full-sky image with preset cloud features, and generate cloud amount, cloud shape and cloud base height according to the feature matching results; a first direct radiation value acquisition module is used to obtain the first direct radiation value of the solar disk; a second direct radiation value measurement module is used to measure the second direct radiation value of the solar circumference; a scattered radiation value measurement module is used to measure the scattered radiation value of the solar periphery; a solar radiation distribution prediction module is used to predict the solar radiation distribution based on the circumsolar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value of the solar periphery.

[0028] In an optional implementation, the module for determining the ring-solar radiation ratio includes: a division unit, configured to determine the quotient of the ring-solar radiation intensity and the normal irradiance as the ring-solar radiation ratio.

[0029] In an optional embodiment, the device also includes: a scattered radiation value measurement module acquisition unit, which is used to obtain the scattered radiation values ​​around the sun at multiple angles; a scattered radiation curve establishment unit, which is used to establish a scattered radiation curve in which the scattered radiation values ​​under various weather conditions change with the angle according to the scattered radiation values ​​around the sun at multiple angles; and a sky scattered radiation mathematical model construction unit, which is used to construct a sky scattered radiation mathematical model according to the scattered radiation curve.

[0030] In an optional embodiment, the device further comprises:

[0031] The scattered radiation value measurement module acquisition unit is used to obtain the scattered radiation values ​​around the sun at multiple angles;

[0032] The scattered radiation curve establishment unit is used to establish a scattered radiation curve in which the scattered radiation values ​​vary with angles under various weather conditions according to the scattered radiation values ​​around the sun at multiple angles; the sky scattered radiation mathematical model construction unit is used to construct a sky scattered radiation mathematical model according to the scattered radiation curve.

[0033] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the method for predicting solar irradiation distribution of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0034] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for predicting solar irradiation distribution of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 is a schematic flow chart of a method for predicting solar irradiation distribution according to an embodiment of the present invention;

[0037] Figure 2 is a schematic flow chart of another method for predicting solar irradiation distribution according to an embodiment of the present invention;

[0038] Figure 3 is a flow chart of a method for training a full-sky anisotropic solar irradiance model according to an embodiment of the present invention;

[0039] Figure 4 is a schematic diagram of a method for simulating and calculating all skylight resources according to an embodiment of the present invention;

[0040] Figure 5 is a structural block diagram of a device for predicting solar irradiation distribution according to an embodiment of the present invention;

[0041] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0043] The embodiment of the present invention provides a method for predicting solar irradiation distribution, which predicts solar irradiation distribution according to different radiation information to achieve the effect of accurately predicting solar irradiation distribution.

[0044] According to an embodiment of the present invention, an embodiment of a method for predicting solar irradiation distribution is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0045] In this embodiment, a method for predicting solar radiation distribution is provided, which can be used in the above-mentioned computer device. Figure 1 is a flow chart of a method for predicting solar irradiation distribution according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0046] Step S101, obtaining the circumsolar radiation intensity and normal irradiance.

[0047] Among them, the circumsolar radiation is caused by the scattering of particles in the atmosphere. The circumsolar radiation intensity indicates the radiation energy intensity received by the earth's surface from the sun, and the normal irradiance indicates the energy intensity of solar radiation in the vertical direction of the ground. The circumsolar radiation intensity and normal irradiance are measured by direct pyrheliometers.

[0048] Step S102, obtaining the circumsolar radiation ratio according to the circumsolar radiation intensity and the normal irradiance.

[0049] In some optional embodiments, the quotient of the circumsolar radiation intensity and the normal irradiance is determined as the circumsolar radiation ratio.

[0050] In some optional implementations, the ring-sun radiation ratio is determined according to the following formula:

[0051]

[0052] in, is the circumsolar radiation ratio, is the circumsolar radiation intensity, is the normal irradiance.

[0053] Step S103, obtaining a full sky image, performing feature matching between the full sky image and preset cloud features, and generating cloud amount, cloud shape and cloud base height according to the feature matching result.

[0054] Wherein, a 180-degree full-sky image is measured by using a full-sky imager. In this embodiment, feature matching is performed between the full-sky image and preset cloud features, and features of the full-sky image are extracted. The extracted features are feature matched with preset cloud features, and the cloud amount, cloud shape, and cloud base height are determined based on the matching results, wherein the extracted features may be cloud amount features, cloud shape features, etc.

[0055] Step S104, obtaining a first direct radiation value of the solar disk.

[0056] The first direct radiation value of the solar disk is measured using a combination of a charge coupled device (CCD) camera and a reflecting astronomical telescope.

[0057] In some optional embodiments, the solar disk represents an area within a first preset range of the solar photosphere.

[0058] Among them, the first preset range is (0°, 0.265°).

[0059] Step S105, measuring the second direct radiation value of the solar circumference.

[0060] Among them, the global radiation meter is used to measure the second direct radiation value of the solar circumference.

[0061] In some optional embodiments, the solar circumference represents an area within a second preset range of the solar photosphere, and the second preset range is larger than the first preset range.

[0062] Among them, the second preset range is (0.265°, 2.5°).

[0063] Step S106, measuring the scattered radiation value around the sun.

[0064] In the embodiment of the present invention, the scattered radiation value around the sun is measured by using a pyranometer and a field of view controller, and the angle range for obtaining the scattered radiation value is (2.5°, 90°).

[0065] Step S107, predicting the solar radiation distribution according to the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery.

[0066] In some optional embodiments, the present invention constructs a preset mapping relationship, which is a mapping relationship between solar irradiation distribution and the circumsolar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery.

[0067] Among them, solar radiation distribution refers to the distribution of different types of sunlight resources at different angles and in different regions.

[0068] In some optional embodiments, the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery are input into a trained full-sky anisotropic solar irradiation model to predict the solar irradiation distribution.

[0069] The method for predicting solar radiation distribution provided in the present embodiment calculates the annular radiation ratio based on the annular radiation intensity and the normal radiation, generates cloud amount, cloud shape and cloud base height based on the full sky image, obtains the first direct radiation value of the solar disk, measures the second direct radiation value of the solar circumference, and measures the scattered radiation value around the sun. The embodiment of the present invention obtains different types of radiation at different angles, and predicts the solar radiation distribution based on the different types of radiation at different angles. The obtained solar radiation distribution is more accurate. Compared with the related art which only counts the direct radiation, the embodiment of the present invention takes into account the influence of environmental factors on direct radiation and scattered radiation, obtains direct radiation and scattered radiation at different angles respectively, and predicts the solar radiation distribution based on the different types of radiation at different angles under the influence of environmental factors. The prediction method of the embodiment of the present invention is more refined and the obtained prediction result is more accurate.

[0070] In this embodiment, a method for predicting solar radiation distribution is provided, which can be used in the above-mentioned computer device. Figure 2 is a flow chart of another method for predicting solar irradiation distribution according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:

[0071] Step S201, obtain the circumsolar radiation intensity and normal irradiance. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0072] Step S202: Obtain the circumsolar radiation ratio according to the circumsolar radiation intensity and the normal irradiance. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0073] Step S203, obtain the full sky image, perform feature matching on the full sky image and the preset cloud features, and generate cloud amount, cloud shape and cloud base height according to the feature matching results. Figure 1 Step S103 of the illustrated embodiment will not be described in detail here.

[0074] Step S204, obtaining the first direct radiation value of the solar disk. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0075] Step S205, measure the second direct radiation value of the solar circumference. Figure 1 Step S105 of the illustrated embodiment will not be described in detail here.

[0076] Step S206, measure the scattered radiation value around the sun. Figure 1 Step S106 of the illustrated embodiment will not be described in detail here.

[0077] Step S207, obtaining the scattered radiation values ​​around the sun at multiple angles.

[0078] Among them, a global radiation meter with a 180-degree field of view is used in conjunction with a field of view controller with an adjustable opening angle to conduct precise measurements of the scattered radiation of the sky 2.5° away from the sun. By using rings of different diameters, the purpose of reflecting or absorbing excess light is achieved, thereby achieving angle control and obtaining scattered radiation values ​​around the sun at multiple angles.

[0079] Step S208, based on the scattered radiation values ​​around the sun at multiple angles, a scattered radiation curve is established showing the scattered radiation values ​​changing with angles under multiple weather conditions.

[0080] According to the obtained scattered radiation values ​​around the sun at multiple angles, curves showing the change of scattered radiation values ​​with angles under various weather conditions are drawn.

[0081] Exemplarily, the various weather conditions may be weather conditions such as haze, thunderstorm, etc.

[0082] Step S209: constructing a sky scattered radiation mathematical model according to the scattered radiation curve.

[0083] Among them, based on the scattered radiation curve, a mathematical model of sky scattered radiation in the area beyond 2.5° is established.

[0084] The mathematical model of sky diffuse radiation is expressed as:

[0085]

[0086] in, is the expression of the mathematical model of sky diffuse radiation, is the opening half angle, is the circumsolar radiation ratio, For air quality.

[0087] Step S2010: predict the solar radiation distribution based on the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery. Figure 1 Step S107 of the illustrated embodiment will not be described in detail here.

[0088] Specifically, the above step S2010 includes:

[0089] Step S20101, input the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value of the solar periphery into the trained full-sky anisotropic solar irradiation model to predict the solar irradiation distribution.

[0090] In the embodiment of the present invention, the solar radiation distribution is predicted according to the full-sky anisotropic solar radiation model, and the attenuation and scattering effects of atmospheric aerosols on solar radiation can be accurately expressed mathematically. Specifically, the mapping relationship between the image gray value and the brightness value received by the camera is called the camera response function, and the image pixel value is determined according to the following formula:

[0091]

[0092] in, Indicates the pixel value of the image. represents the response function of the camera, is the scene brightness.

[0093] Scene brightness If the exposure time is unchanged, t and the scene brightness received by the camera E There is a direct proportional relationship between them, which can be expressed as:

[0094]

[0095] in, is the brightness of a single scene, i represents the index of the pixel in the image, j The exposure time is t The image index, t is the exposure time.

[0096] The CCD camera receives the scene brightness , the pixel value of each pixel can be expressed as:

[0097]

[0098] in, i represents the index of the pixel in the image, j The exposure time is t The image index, represents the response function of the camera, t is the exposure time, represents the pixel value, is the brightness of a single scene.

[0099] Take the natural logarithm of both sides of the pixel value of each pixel above and introduce the function g=lnF-1 ,get:

[0100]

[0101] in, i represents the index of the pixel in the image, j The exposure time ist The image index, represents the pixel value, is the brightness of a single scene.

[0102] The method for predicting solar radiation distribution provided in this embodiment obtains the scattered radiation values ​​around the sun at multiple angles and constructs a mathematical model of sky scattered radiation. It can more intuitively observe the scattered radiation values ​​at different angles in the sky, and predict the solar radiation distribution based on the full-sky anisotropic solar radiation model. The full-sky anisotropic solar radiation model is trained based on a large amount of historical data, so the prediction result is more accurate.

[0103] In this embodiment, a method for predicting solar radiation distribution is provided, which can be used in the above-mentioned computer device. Figure 3 is a flow chart of a method for training a full-sky anisotropic solar irradiance model according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0104] Step S301, obtaining a historical data set, the historical data set including a historical annular solar radiation ratio, a historical cloud amount, a historical cloud shape, a historical cloud base height, a historical first direct radiation value, a historical second direct radiation value, and a historical scattered radiation value.

[0105] Step S302: construct a full-sky anisotropic solar irradiation model.

[0106] Step S303: input the historical data set into the full-sky anisotropic solar irradiation model to train the full-sky anisotropic solar irradiation model.

[0107] Step S304: save the trained full-sky anisotropic solar irradiation model.

[0108] In an embodiment of the present invention, the full-sky anisotropic solar irradiation model is trained based on a large number of historical data sets to improve the accuracy of the full-sky anisotropic solar irradiation model, so that the solar irradiation distribution obtained by the full-sky anisotropic solar irradiation model is more accurate.

[0109] like Figure 4 As shown, it is a schematic diagram of a method for simulating and calculating all-sky light resources provided by an embodiment of the present invention, such as Figure 4 As shown, including:

[0110] The first direct radiation of the solar disk is determined according to the charge-coupled device camera and the reflecting astronomical telescope. The second direct radiation around the sun is measured according to the global radiation meter. The circumsolar radiation ratio is calculated according to the circumsolar radiation intensity and the normal radiation. The scattered radiation around the sun is calculated according to the global radiation meter and the field of view controller. The total sky image is generated according to the total sky imager, and the cloud amount, cloud shape and cloud bottom height are determined according to the total sky image. The first direct radiation, the second direct radiation, the circumsolar radiation ratio, the scattered radiation, the cloud amount, the cloud shape and the cloud bottom height are input into the total sky anisotropic solar radiation model to obtain the solar radiation distribution.

[0111] In this embodiment, a prediction device for solar irradiation distribution is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0112] This embodiment provides a prediction device for solar radiation distribution, such as Figure 5 As shown, including:

[0113] The data acquisition module 501 is used to obtain the circumsolar radiation intensity and normal irradiance.

[0114] The ring-solar radiation ratio determination module 502 is used to obtain the ring-solar radiation ratio according to the ring-solar radiation intensity and the normal irradiance.

[0115] The cloud data acquisition module 503 is used to acquire the full sky image, perform feature matching on the full sky image and preset cloud features, and generate cloud amount, cloud shape and cloud base height according to the feature matching results.

[0116] The first direct radiation value acquisition module 504 is used to acquire the first direct radiation value of the solar disk.

[0117] The second direct radiation value measuring module 505 is used to measure the second direct radiation value of the solar circumference.

[0118] The scattered radiation value measuring module 506 is used to measure the scattered radiation value around the sun.

[0119] The solar radiation distribution prediction module 507 is used to predict the solar radiation distribution according to the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value of the solar periphery.

[0120] Specifically, the above-mentioned ring-sun radiation ratio determination 502 module includes:

[0121] The division unit is used to determine the quotient of the ring-solar radiation intensity and the normal irradiance as the ring-solar radiation ratio.

[0122] The solar radiation distribution prediction module 507 includes:

[0123] The solar radiation distribution prediction unit is used to input the annular solar radiation ratio, cloud amount, cloud shape, cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference and the scattered radiation value of the solar periphery into the trained full-sky anisotropic solar radiation model to predict the solar radiation distribution.

[0124] In some optional embodiments, the device further comprises:

[0125] The scattered radiation value measurement module acquisition unit is used to obtain the scattered radiation values ​​around the sun at multiple angles.

[0126] The scattered radiation curve establishing unit is used to establish a scattered radiation curve in which the scattered radiation value varies with the angle under various weather conditions according to the scattered radiation values ​​around the sun at multiple angles.

[0127] The sky diffuse radiation mathematical model construction unit is used to construct the sky diffuse radiation mathematical model according to the diffuse radiation curve.

[0128] The historical data set acquisition module is used to acquire the historical data set, which includes the historical circumsolar radiation ratio, historical cloud amount, historical cloud shape, historical cloud base height, historical first direct radiation value, historical second direct radiation value and historical scattered radiation value.

[0129] Model building module for building full-sky anisotropic solar irradiance models.

[0130] The model training module is used to input historical data sets into the full-sky anisotropic solar irradiance model to train the full-sky anisotropic solar irradiance model.

[0131] The model saving module is used to save the trained full-sky anisotropic solar irradiance model.

[0132] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0133] The solar radiation distribution prediction device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0134] The embodiment of the present invention also provides a computer device having the above Figure 5 The prediction device for solar irradiation distribution is shown.

[0135] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0136] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0137] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0138] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0139] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0140] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0141] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0142] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A method for predicting solar radiation distribution, characterized in that: The method comprises: Obtain the circumsolar radiation intensity and normal irradiance; Obtaining a circumsolar radiation ratio according to the circumsolar radiation intensity and the normal irradiance; Acquire a full sky image, perform feature matching on the full sky image and preset cloud features, and generate cloud amount, cloud shape, and cloud base height according to the feature matching results; Get the first direct radiation value of the solar disk; Measure the second direct radiation value of the sun's circumference; Measure the scattered radiation value around the sun; Acquire the scattered radiation values ​​around the sun at multiple angles; According to the scattered radiation values ​​around the sun at multiple angles, a scattered radiation curve is established in which the scattered radiation values ​​vary with angles under various weather conditions; Constructing a sky scattered radiation mathematical model according to the scattered radiation curve; Predicting solar radiation distribution according to the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery; The predicting of solar radiation distribution according to the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud bottom height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery includes: Input the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery into the trained full-sky anisotropic solar irradiation model to predict the solar irradiation distribution; The expression of the sky diffuse radiation mathematical model is: in, is the expression of the mathematical model of sky diffuse radiation, is the opening half angle, is the circumsolar radiation ratio, for air quality; The method includes training the full-sky anisotropic solar irradiance model, and the method for training the full-sky anisotropic solar irradiance model includes: Acquire a historical data set, wherein the historical data set includes a historical annular solar radiation ratio, a historical cloud amount, a historical cloud shape, a historical cloud base height, a historical first direct radiation value, a historical second direct radiation value, and a historical scattered radiation value; Construct a full-sky anisotropic solar irradiance model; Inputting the historical data set into the full-sky anisotropic solar irradiation model to train the full-sky anisotropic solar irradiation model; The trained full-sky anisotropic solar irradiance model is saved.

2. The method according to claim 1, characterized in that The obtaining of the ring-solar radiation ratio according to the ring-solar radiation intensity and the normal irradiance includes: The quotient of the circumsolar radiation intensity and the normal irradiance is determined as the circumsolar radiation ratio.

3. The method according to claim 2, characterized in that The ring-sun radiation ratio is determined according to the following formula: in, is the circumsolar radiation ratio, is the circumsolar radiation intensity, is the normal irradiance.

4. The method according to claim 1 or 2, characterized in that: The solar disk represents an area within a first preset range of the solar photosphere.

5. The method according to claim 1 or 2, characterized in that: The solar circumference represents an area within a second preset range of the solar photosphere, and the second preset range is larger than the first preset range.

6. A solar radiation distribution prediction device, characterized in that: The device comprises: A data acquisition module is used to obtain the circumsolar radiation intensity and normal irradiance; A module for determining a ring-solar radiation ratio, configured to obtain the ring-solar radiation ratio according to the ring-solar radiation intensity and the normal irradiance; A cloud data acquisition module is used to acquire a full sky image, perform feature matching on the full sky image and preset cloud features, and generate cloud amount, cloud shape and cloud base height according to the feature matching results; A first direct radiation value acquisition module, used to acquire a first direct radiation value of the solar disk; A second direct radiation value measuring module, used for measuring the second direct radiation value of the solar circumference; The scattered radiation value measurement module is used to measure the scattered radiation value around the sun; The device also includes: A scattered radiation value measurement module acquisition unit, used to acquire the scattered radiation values ​​around the sun at multiple angles; A scattered radiation curve establishing unit, used for establishing a scattered radiation curve in which the scattered radiation value varies with angle under various weather conditions according to the scattered radiation values ​​around the sun at multiple angles; A sky scattered radiation mathematical model construction unit, used for constructing a sky scattered radiation mathematical model according to the scattered radiation curve; a solar radiation distribution prediction module, configured to predict solar radiation distribution according to the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery; The predicting of solar radiation distribution according to the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud bottom height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery includes: Input the annular solar radiation ratio, the cloud amount, the cloud shape, the cloud base height, the first direct radiation value of the solar disk, the second direct radiation value of the solar circumference, and the scattered radiation value of the solar periphery into the trained full-sky anisotropic solar irradiation model to predict the solar irradiation distribution; The expression of the sky diffuse radiation mathematical model is: in, is the expression of the mathematical model of sky diffuse radiation, is the opening half angle, is the circumsolar radiation ratio, for air quality; The device also includes: A historical data set acquisition module is used to acquire a historical data set, wherein the historical data set includes a historical circumsolar radiation ratio, a historical cloud amount, a historical cloud shape, a historical cloud base height, a historical first direct radiation value, a historical second direct radiation value, and a historical scattered radiation value; Model building module, used to build full-sky anisotropic solar irradiance model; A model training module, used for inputting the historical data set into the full-sky anisotropic solar irradiation model to train the full-sky anisotropic solar irradiation model; The model saving module is used to save the trained full-sky anisotropic solar irradiation model.

7. The device according to claim 6, characterized in that The module for determining the solar-circumpolar radiation ratio includes: The division unit is used to determine the quotient of the ring-solar radiation intensity and the normal irradiance as the ring-solar radiation ratio.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for predicting solar irradiation distribution according to any one of claims 1 to 5 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the solar irradiation distribution prediction method according to any one of claims 1 to 5.

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