Operation control method of photovoltaic system, electronic equipment and program product

Abstract

The embodiment of the invention provides an operation control method of a photovoltaic system, electronic equipment and a program product. The method comprises the steps of obtaining basic information of a photovoltaic panel and position information and category information of a shielding object located on the surface of the photovoltaic panel; calculating the lost generating capacity of the photovoltaic panel based on at least one of the position information and the category information of the shelter and the basic information; and adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost generating capacity so as to control the photovoltaic system to operate at the preset output power. The method is used for achieving the effect of improving the operation stability of the photovoltaic system.

Description

Technical Field

[0001] The present application relates to the field of power technologies, and in particular, to an operation control method, an electronic device, and a program product for a photovoltaic system. Background Art

[0002] In recent years, as an important part of clean energy, photovoltaic power generation has been widely applied and developed globally due to its environmental protection and renewable advantages. With the continuous promotion of the national "dual-carbon" strategy, the installed capacity and penetration rate of photovoltaics in power systems and energy storage systems have increased year by year.

[0003] In the prior art, if there are obstacles on the surface of a photovoltaic panel, it will affect the power generation of the photovoltaic panel, thereby affecting the stability of the operation of the entire photovoltaic system.

[0004] Therefore, there is an urgent need for an operation control method for a photovoltaic system to improve the stability of the operation of the photovoltaic system. Summary of the Invention

[0005] Embodiments of the present application provide an operation control method, an electronic device, and a program product for a photovoltaic system, so as to achieve the effect of improving the stability of the operation of the photovoltaic system.

[0006] In a first aspect, an embodiment of the present application provides an operation control method for a photovoltaic system, including:

[0007] Obtain the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel;

[0008] Based on at least one of the position information and category information of the obstacle, and the basic information, calculate the lost power generation of the photovoltaic panel;

[0009] Adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power.

[0010] In a possible implementation manner, calculating the lost power generation of the photovoltaic panel based on the basic information and the position information and category information of the obstacle includes: determining the influence factor of the obstacle based on at least one of the position information and category information of the obstacle; wherein, the influence factor characterizes the influence degree of the obstacle on the power generation of the photovoltaic panel; calculate the lost power generation of the photovoltaic panel according to the determined influence factor of the obstacle, the basic information, and the position information of the obstacle.

[0011] In a possible implementation, the basic information includes: the surface area information of the photovoltaic panel and the input light intensity information; calculating the lost power generation of the photovoltaic panel according to the determined influence factor of the obstacle, the basic information, and the position information of the obstacle, including: determining the first power generation according to the surface area information of the photovoltaic panel and the input light intensity information; wherein, the first power generation is the estimated power generation of the photovoltaic panel before being blocked by the obstacle; determining the light intensity after being affected by the block according to the surface area information of the photovoltaic panel, the influence factor of the obstacle, the position information of the obstacle, and the input light intensity information; determining the second power generation according to the surface area information of the photovoltaic panel and the light intensity after being affected by the block; wherein, the second power generation is the estimated power generation of the photovoltaic panel after being blocked by the obstacle; determining the difference between the first power generation and the second power generation as the lost power generation of the photovoltaic panel.

[0012] In a possible implementation, the basic information includes the position information of the photovoltaic panel; adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power, including: if the lost power generation is less than the lost power generation threshold, adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power; if the lost power generation is greater than or equal to the lost power generation threshold, generating and presenting an obstacle cleaning prompt message according to the position information of the photovoltaic panel and the category information of the obstacle.

[0013] In a possible implementation, the process of obtaining the position information and category information of the obstacle located on the surface of the photovoltaic panel includes: obtaining the surface image of the photovoltaic panel; determining whether there is an obstacle on the surface of the photovoltaic panel based on edge detection technology and contour extraction technology according to the surface image of the photovoltaic panel; if it is determined that there is an obstacle, performing detection processing on the surface image of the photovoltaic panel based on a preset target detection model to obtain the position information and category information of the obstacle; wherein, the training samples for training the preset target detection module are obtained by photographing the photovoltaic panel from different shooting angles.

[0014] In a possible implementation, based on a preset object detection model, the surface image of the photovoltaic panel is detected to obtain the position information and category information of the occlusion, including: based on the preset object detection model, performing candidate box calibration processing on the surface image of the photovoltaic panel to obtain at least one obstacle candidate box; based on the preset object detection model, performing feature extraction processing on the at least one obstacle candidate box, and determining the category information according to the extracted features; based on the preset object detection model, performing screening processing on the at least one obstacle candidate box, and determining the position information of the occlusion according to the screened obstacle candidate box.

[0015] In a possible implementation, the method further includes: performing image grayscale processing and image noise reduction processing on the surface image of the photovoltaic panel.

[0016] In a second aspect, an operation control device for a photovoltaic system provided by an embodiment of the present application includes:

[0017] An acquisition module, configured to acquire the basic information of the photovoltaic panel, and the position information and category information of the occlusion located on the surface of the photovoltaic panel;

[0018] A determination module, configured to calculate the lost power generation of the photovoltaic panel based on at least one of the position information and category information of the occlusion and the basic information;

[0019] A processing module, configured to adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power.

[0020] In a third aspect, an electronic device provided by an embodiment of the present application includes: a memory, a processor;

[0021] The memory stores computer execution instructions;

[0022] The processor executes the computer execution instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementation manners of the first aspect.

[0023] In a fourth aspect, a computer-readable storage medium provided by an embodiment of the present application stores computer execution instructions, and when the computer execution instructions are executed by a processor, they are used to implement the above first aspect and / or various possible implementation manners of the first aspect.

[0024] In a fifth aspect, a computer program product provided by an embodiment of the present application includes a computer program, and when the computer program is executed by a processor, it implements the above first aspect and / or various possible implementation manners of the first aspect.

[0025] The operation control method, electronic device and program product of the photovoltaic system provided by the embodiments of the present application obtain the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel. Based on the basic information, the position information and category information of the obstacles, calculate the loss of power generation of the photovoltaic panel, and adjust the current output power of each photovoltaic panel in the photovoltaic system according to the loss of power generation, so as to control the photovoltaic system to operate at a preset output power. Among them, by adjusting the output power of the photovoltaic panel by calculating the loss of power generation according to the information of the obstacles, the influence of the appearance of the obstacles on the output power of the photovoltaic system can be reduced, and the stability of the operation of the photovoltaic system is improved. Among them, in the process of determining the loss of power generation of the photovoltaic panel, it is determined according to the position information and category information of the obstacles, which can improve the accuracy of calculating the loss of power generation and further improve the stability of the operation of the photovoltaic system. Based on the above description, the operation control method of the photovoltaic system provided by the embodiments of the present application improves the stability of the operation of the photovoltaic system. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings herein are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application and used together with the specification to explain the principles of the present application.

[0027] Figure 1 is a schematic flow chart of the operation control method of the photovoltaic system provided by the present application Figure 1 ;

[0028] Figure 2 is a schematic flow chart of the operation control method of the photovoltaic system provided by the present application Figure 2 ;

[0029] Figure 3 is a schematic flow chart of the operation control method of the photovoltaic system provided by the present application Figure 3 ;

[0030] Figure 4 is a schematic structural diagram of the operation control device of the photovoltaic system provided by the present application;

[0031] Figure 5 is a schematic structural diagram of the electronic device provided by the present application.

[0032] Through the above-mentioned accompanying drawings, specific embodiments of the present application have been shown, and there will be more detailed descriptions hereinafter. These drawings and written descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] Exemplary embodiments will be described in detail herein, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0034] In the prior art, if there are obstacles on the surface of a photovoltaic panel, it will affect the power generation of the photovoltaic panel, thereby affecting the stability of the operation of the entire photovoltaic system. Therefore, there is an urgent need for an operation control method for a photovoltaic system to improve the stability of the operation of the photovoltaic system.

[0035] The operation control method for a photovoltaic system provided by the present application obtains the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel. Based on the basic information, the position information, and the category information of the obstacles, it calculates the lost power generation of the photovoltaic panel, and adjusts the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power. Among them, by adjusting the output power of the photovoltaic panel in the way of calculating the lost power generation according to the information of the obstacles, the influence of the appearance of the obstacles on the output power of the photovoltaic system can be reduced, and the stability of the operation of the photovoltaic system is improved. Among them, in the process of determining the lost power generation of the photovoltaic panel, determining according to the position information and category information of the obstacles can improve the accuracy of calculating the lost power generation, and further improve the stability of the operation of the photovoltaic system. Based on the above description, the operation control method for a photovoltaic system provided by the embodiments of the present application improves the stability of the operation of the photovoltaic system.

[0036] The following uses specific embodiments to detail the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems. The following several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

[0037] Figure 1 Schematic flow of the operation control method for a photovoltaic system provided by the present application Figure 1 As Figure 1 shown, the method includes:

[0038] Step S101, obtain the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel.

[0039] Specifically, the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel can be obtained.

[0040] Among them, a photovoltaic panel is a power generation device that can directly convert solar radiation energy into electrical energy. It uses thin solid photovoltaic cells made of semiconductor materials. When sunlight shines on the photovoltaic panel, the semiconductor material in the photovoltaic cell absorbs light energy and generates an electric current. The photovoltaic panel, also known as a solar panel or a photovoltaic module, is the core component of a solar photovoltaic power generation system. In a photovoltaic system, the photovoltaic panel is responsible for capturing sunlight and generating direct current electrical energy, which is the starting point of power generation for the entire system. Among them, a photovoltaic system includes at least one photovoltaic panel, and the number of photovoltaic panels included in the photovoltaic system in this application is not limited.

[0041] Among them, the basic information of the photovoltaic panel includes, but is not limited to, the attribute information of the photovoltaic panel itself and other attribute information acting on the photovoltaic panel.

[0042] Optionally, the attribute information of the photovoltaic panel itself includes, but is not limited to: physical structure information, technical specification information, performance parameter information, etc. Optionally, the physical structure information includes, but is not limited to: size information, weight information, etc. Optionally, the technical specification information includes, but is not limited to: cell type information (such as monocrystalline silicon, polycrystalline silicon, etc.), number of cells information, cell efficiency information, cell size information, and cell material information, etc. These technical specification information determine the power generation efficiency and performance of the photovoltaic panel. Optionally, the performance parameter information mainly includes maximum power information, open circuit voltage information, short circuit current information, peak power temperature coefficient information, and cell temperature coefficient information, etc. These performance parameter information reflect the power generation ability and stability of the photovoltaic panel under different conditions.

[0043] Optionally, other attribute information acting on the photovoltaic panel includes, but is not limited to: optoelectronic performance related attribute information and environment related attribute information. Optionally, the optoelectronic performance related attribute information includes, but is not limited to: open circuit voltage information, that is, the voltage at both ends of the photovoltaic panel when it is open circuit (i.e., not connected to a load) under illumination conditions; short circuit current information, that is, the current at both ends of the photovoltaic panel when it is short circuit (i.e., the load resistance is zero) under illumination conditions; maximum power point information, that is, the maximum power value that the photovoltaic panel can output under specific illumination and temperature conditions; fill factor information, that is, the ratio of the output power of the photovoltaic panel at the maximum power point to the product of the open circuit voltage and the short circuit current. Optionally, the environment related attribute information includes, but is not limited to: temperature information of the environment where the photovoltaic panel is located, illumination intensity information of the environment where the photovoltaic panel is located, etc.

[0044] Among them, the obstruction on the surface of the photovoltaic panel refers to an object located on the surface of the photovoltaic panel that causes obstruction to the photovoltaic panel.

[0045] Among them, the position information of the obstruction on the surface of the photovoltaic panel refers to the information about the location where the obstruction is located on the surface of the photovoltaic panel. Specifically, this application does not limit the position information of the obstruction on the surface of the photovoltaic panel. Optionally, obstructions may exist at any position on the surface of the photovoltaic panel.

[0046] Among them, the category information of the obstruction on the surface of the photovoltaic panel refers to the item category information of the obstruction. Specifically, this application does not limit the category information of the obstruction on the surface of the photovoltaic panel. Optionally, the category information of the obstruction on the surface of the photovoltaic panel includes but is not limited to: shadow category, plant category, soil category, bird droppings category, etc.

[0047] Specifically, this application does not limit the process of obtaining the basic information of the photovoltaic panel. Among them, the process of obtaining the basic information of the photovoltaic panel corresponds to the type of the basic information. Optionally, if the type of the basic information is the attribute information of the photovoltaic panel itself, the corresponding attribute information of the photovoltaic panel itself can be obtained from the information system of the photovoltaic panel according to the model information of the photovoltaic panel. Optionally, if the type of the basic information is the attribute information related to the photovoltaic performance, it can be obtained by means of experimental detection. Optionally, if the type of the basic information is the environmental related attribute information, it can be obtained by the environmental sensors set around the photovoltaic panel, such as temperature sensors, light intensity sensors and other sensors.

[0048] Specifically, this application does not limit the process of obtaining the position information and category information of the obstruction on the surface of the photovoltaic panel. Optionally, the surface image of the photovoltaic panel can be obtained, and then based on the edge detection technology and contour extraction technology, it is determined whether there is an obstruction on the surface of the photovoltaic panel; if it is determined that there is an obstruction, based on the preset object detection model, the surface image of the photovoltaic panel is detected and processed to obtain the position information and category information of the obstruction.

[0049] Step S102: Calculate the lost power generation of the photovoltaic panel based on at least one of the position information and category information of the obstruction and the basic information.

[0050] Specifically, based on at least one of the position information and category information of the obstruction on the surface of the photovoltaic panel obtained in step S101 and the basic information of the photovoltaic panel, the lost power generation of the photovoltaic panel can be calculated.

[0051] Among them, the lost power generation of the photovoltaic panel is the power generation lost by the photovoltaic panel due to the obstruction of the obstacle. Specifically, if there is no obstruction on the surface of the photovoltaic panel, the lost power generation of the photovoltaic panel is zero.

[0052] Specifically, the present application does not limit the process of calculating the lost power generation of the photovoltaic panel based on at least one of the position information and category information of the obstacle and the basic information. Optionally, the influence factor of the obstacle can be determined first based on at least one of the position information and category information of the obstacle, where the influence factor characterizes the influence degree of the obstacle on the power generation of the photovoltaic panel. Then, based on the determined influence factor of the obstacle, the basic information, and the position information of the obstacle, the lost power generation of the photovoltaic panel is calculated.

[0053] Step S103: Adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power.

[0054] Specifically, according to the lost power generation calculated in step S102, the current output power of each photovoltaic panel in the photovoltaic system can be adjusted to control the photovoltaic system to operate at a preset output power.

[0055] Among them, the current output power is used to characterize the amount of electricity output by the photovoltaic panel to the power grid per unit time at the current moment. Among them, the output power of the photovoltaic panel refers to the measure of converting solar radiation into electrical energy by the photovoltaic panel per unit time. Among them, the output power of the photovoltaic panel can be less than or equal to the output power of the photovoltaic panel, that is, the photovoltaic panel can output all or part of the generated electrical energy to the power grid to ensure the stable operation of the photovoltaic system.

[0056] Among them, the preset output power is used to characterize the amount of electricity output by the preset photovoltaic system to the power grid per unit time. Specifically, if the photovoltaic system operates at the preset output power, the operation of the photovoltaic system remains stable. Among them, the present application does not limit the preset output power. Optionally, it can be a preset value, and optionally, it can also be a preset value sequence that changes with time.

[0057] Among them, the present application does not limit the process of adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power. Optionally, if the lost power generation is less than the lost power generation threshold, the current output power of each photovoltaic panel in the photovoltaic system is adjusted according to the lost power generation to control the photovoltaic system to operate at a preset output power; if the lost power generation is greater than or equal to the lost power generation threshold, an obstacle cleaning prompt message is generated and presented according to the position information of the photovoltaic panel and the category information of the obstacle.

[0058] The operation control method of the photovoltaic system provided by the embodiment of the present application obtains the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel. Based on the basic information, the position information and the category information of the obstacles, the lost power generation of the photovoltaic panel is calculated. According to the lost power generation, the current output power of each photovoltaic panel in the photovoltaic system is adjusted to control the photovoltaic system to operate at a preset output power. Among them, by adjusting the output power of the photovoltaic panel by calculating the lost power generation according to the information of the obstacles, the influence of the appearance of the obstacles on the output power of the photovoltaic system can be reduced, and the operation stability of the photovoltaic system is improved. Among them, in the process of determining the lost power generation of the photovoltaic panel, determining according to the position information and category information of the obstacles can improve the accuracy of calculating the lost power generation, and further improve the operation stability of the photovoltaic system. Based on the above description, the operation control method of the photovoltaic system provided by the embodiment of the present application improves the operation stability of the photovoltaic system.

[0059] Figure 2 Flow schematic of the operation control method of the photovoltaic system provided by the present application Figure 2 , such as Figure 2 shown, on the basis of the Figure 1 embodiment, a detailed description of the operation control method of another photovoltaic system is given. This method includes:

[0060] Step S201: Obtain the basic information of the photovoltaic panel, and the position information and category information of the obstacles located on the surface of the photovoltaic panel.

[0061] Specifically, for the specific description of this step, reference can be made to the description in step S101, which will not be elaborated here.

[0062] Step S202: Determine the influence factor of the obstacle based on at least one of the position information and category information of the obstacle.

[0063] Specifically, based on at least one of the position information and category information of the obstacles obtained in step S201, the influence factor of the obstacles can be determined.

[0064] Among them, the influence factor characterizes the influence degree of the obstacle on the power generation of the photovoltaic panel. Optionally, the value range of the influence factor is 0-1. The greater the influence degree of the obstacle on the power generation of the photovoltaic panel, the closer the value of the influence factor is to 1. The smaller the influence degree of the obstacle on the power generation of the photovoltaic panel, the closer the value of the influence factor is to 0.

[0065] Specifically, when the positions of the obstacles indicated by the position information of the obstacles on the PV panel are different, the degrees of influence on the power generation of the PV panel are different. For example, if the obstacle is located at the edge or corner of the PV panel, the influence of the obstacle on the power generation of the PV panel is relatively small. If the obstacle is located in the main light-receiving area of the PV panel, the influence of the obstacle on the power generation of the PV panel is relatively large. Therefore, the degree of influence of the obstacle on the power generation of the PV panel can be determined according to the position of the obstacle on the PV panel indicated by the position information of the obstacle.

[0066] Specifically, when the categories of the obstacles indicated by the category information of the obstacles are different, the degrees of influence on the power generation of the PV panel are different. Among them, the influence of different types of obstacles on the power generation efficiency of the PV panel is mainly reflected in the shadow effect and the hot spot effect: the shadow formed by the obstacle on the PV panel may cause the hot spot effect. When a certain area on the PV panel is blocked, the current in this area will be short-circuited by the bypass diode, while the other unblocked areas continue to generate electricity. This will cause the temperature of the blocked area to rise and form a hot spot. The hot spot will not only reduce the power generation efficiency of the PV panel, but may also cause permanent damage to the PV module. The shadow shapes and sizes formed by different types of obstacles are different, so the influence on the hot spot effect is also different. Therefore, the shadow effect and the hot spot effect of the obstacle can be determined according to the category of the obstacle indicated by the category information, and then the degree of influence of the obstacle on the power generation of the PV panel can be determined according to the determined shadow effect and hot spot effect.

[0067] Specifically, based on the above descriptions of the position information, category information, and influence factor of the obstacle, the influence factor of the obstacle can be determined based on at least one of the position information and category information of the obstacle.

[0068] Step S203: Calculate the lost power generation of the PV panel according to the determined influence factor of the obstacle, the basic information, and the position information of the obstacle.

[0069] Specifically, the lost power generation of the PV panel can be calculated according to the influence factor of the obstacle, the basic information, and the position information of the obstacle determined in step S202.

[0070] Optionally, the basic information includes: the surface area information of the PV panel and the input light intensity information. Among them, the surface area information of the PV panel refers to the area of the surface region of the PV panel used to receive light. Specifically, the area of the surface region of the PV panel used to receive light is fixed. Among them, the input light intensity information refers to the intensity of the light input to the PV panel, and the intensity of the light input to the PV panel changes with the change of the light intensity.

[0071] Optionally, the process of calculating the lost power generation of the photovoltaic panel based on the determined influence factor of the obstacle, the basic information, and the position information of the obstacle may include:

[0072] Determine the first power generation according to the surface area information of the photovoltaic panel and the input light intensity information. Among them, the first power generation is the estimated power generation of the photovoltaic panel before being blocked by the obstacle.

[0073] Determine the light intensity after being affected by the occlusion according to the surface area information of the photovoltaic panel, the influence factor of the obstacle, the position information of the obstacle, and the input light intensity information.

[0074] Determine the second power generation according to the surface area information of the photovoltaic panel and the light intensity after being affected by the occlusion. Among them, the second power generation is the estimated power generation of the photovoltaic panel after being blocked by the obstacle.

[0075] Determine the difference between the first power generation and the second power generation as the lost power generation of the photovoltaic panel.

[0076] Specifically, in the process of determining the first power generation according to the surface area information of the photovoltaic panel and the input light intensity information, a preset power prediction model can be obtained first. Among them, the preset power prediction model is obtained through a large amount of historical data and continuous learning and optimization. In the preset power prediction model, when calculating the light area, it is measured based on the complete surface area of the photovoltaic panel. Therefore, in the input parameters of this model, the light area is not used as a separate input variable, while the light intensity is constantly changing and is an essential input information in the model. Therefore, in the process of obtaining the preset power prediction model, the preset power prediction model can be obtained according to the surface area of the photovoltaic panel. Specifically, after obtaining the preset power prediction model, the light intensity indicated by the input light information can be input into the obtained preset power prediction model, and the output predicted power value is the first power generation That is, the estimated power generation of the photovoltaic panel before being blocked by the obstacle.

[0077] Specifically, if there is an obstacle on the surface of the photovoltaic panel, the light intensity input into the preset power prediction model will also be affected. Therefore, the light intensity after being affected by the occlusion can be determined first, and then the light intensity after being affected by the occlusion can be input into the preset power prediction model obtained above, and the output predicted power value is the second power generation That is, the estimated power generation of the photovoltaic panel after being blocked by the obstacle. Then, determine the difference between the first power generation and the second power generation as the lost power generation of the photovoltaic panel .

[0078] Specifically, in the process of determining the light intensity after the occlusion effect, it can be determined according to the surface area information of the photovoltaic panel, the influence factor of the occluder, the position information of the occluder, and the input light intensity information.

[0079] Optionally, the surface area of each occluder in at least one occluder can be determined according to the position information of the occluder; then, according to the surface area of each occluder, the surface area of the photovoltaic panel indicated by the surface area information of the photovoltaic panel, the influence factor of the occluder, and the input light intensity information, the light intensity after the occlusion effect is determined.

[0080] Among them, the formula for the light intensity after the occlusion effect is as follows:

[0081]

[0082] Among them, is the light intensity after the occlusion effect, is the light intensity before the occlusion effect. is the surface area of the m-th occluder, is the influence factor of the m-th occluder, is the surface area of the photovoltaic panel.

[0083] Among them, since the influence of light intensity on the power generation of the photovoltaic panel is the greatest, therefore, in the process of calculating the lost power generation of the photovoltaic panel according to the determined influence factor of the occluder, basic information, and the position information of the occluder, by determining the light intensity before and after the occlusion effect, the lost power generation of the photovoltaic panel can be accurately and efficiently determined, thereby improving the stability of the operation of the photovoltaic system.

[0084] Among them, in the process of calculating the lost power generation of the photovoltaic panel, by calculating the influence factor that characterizes the influence degree of the occluder on the power generation of the photovoltaic panel, the influence degree of different occluders on the power generation of the photovoltaic panel can be considered in the process of calculating the lost power generation of the photovoltaic panel, thereby improving the accuracy of the calculated lost power generation of the photovoltaic panel and further improving the stability of the operation of the photovoltaic system.

[0085] Step S204: If the lost power generation is less than the lost power generation threshold, then adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power.

[0086] Specifically, if the lost power generation calculated in step S203 is less than the lost power generation threshold, then adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power.

[0087] Among them, the loss of power generation threshold is a preset loss of power generation threshold that can control the photovoltaic system to operate at a preset output power by adjusting the current output power of each photovoltaic panel. That is, if the calculated loss of power generation is less than the loss of power generation threshold, the current output power of each photovoltaic panel in the photovoltaic system can be adjusted according to the loss of power generation, and the photovoltaic system can be controlled to operate at a preset output power. Among them, the process of adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the loss of power generation and controlling the photovoltaic system to operate at a preset output power can refer to the description in step S103 and will not be elaborated here.

[0088] Step S205: If the loss of power generation is greater than or equal to the loss of power generation threshold, generate and present an obstacle cleaning prompt message according to the position information of the photovoltaic panel and the category information of the obstacle.

[0089] Specifically, based on the above description of the loss of power generation threshold, if the loss of power generation is greater than or equal to the loss of power generation threshold, the photovoltaic system cannot be controlled to operate at a preset output power by adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the loss of power generation. That is, the influence of the obstacle on the surface of the photovoltaic panel on the power generation of the photovoltaic panel is too large, and the photovoltaic system cannot be controlled to operate at a preset output power by means of power adjustment.

[0090] At this time, an obstacle cleaning prompt message can be generated and presented according to the position information of the photovoltaic panel and the category information of the obstacle.

[0091] Among them, the basic information includes the position information of the photovoltaic panel.

[0092] Optionally, the coordinate information of the position where the photovoltaic panel is located indicated by the position information of the photovoltaic panel can be summarized to determine the coordinate information of the position where the obstacle cleaning is located. Among them, the photovoltaic panels for which the coordinate information is summarized are the photovoltaic panels with a loss of power generation greater than or equal to the loss of power generation threshold. Specifically, the method of obstacle cleaning, the cleaning items required for obstacle cleaning, etc. can be determined according to the category information of the obstacle.

[0093] Among them, in the process of adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the loss of power generation to control the photovoltaic system to operate at a preset output power, by presetting the loss of power generation threshold, an obstacle cleaning prompt can be given in the case where the photovoltaic system cannot be guaranteed to operate at a preset output power even by adjusting the output power, which can further improve the stability of the photovoltaic system.

[0094] The operation control method of the photovoltaic system provided by the embodiment of the present application can consider the influence degree of different obstacles on the power generation of the photovoltaic panel during the process of calculating the lost power generation of the photovoltaic panel by calculating the influence factor that characterizes the influence degree of the obstacle on the power generation of the photovoltaic panel. Thus, the accuracy of the calculated lost power generation of the photovoltaic panel is improved, and further the stability of the operation of the photovoltaic system is improved. During the process of adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power, by setting a preset lost power generation threshold, an obstacle cleaning prompt can be given in the case where adjusting the output power cannot ensure that the photovoltaic system operates at the preset output power, which can further improve the stability of the photovoltaic system. Based on the above description, the stability of the photovoltaic system is further improved in this embodiment.

[0095] Figure 3 Schematic flow of the operation control method of the photovoltaic system provided by this application Figure 3 , as Figure 3 shown, based on the Figure 1 or Figure 2 embodiment, the process of obtaining the position information and category information of the obstacle located on the surface of the photovoltaic panel is described in detail. The method includes:

[0096] Step S301, obtain the surface image of the photovoltaic panel.

[0097] Specifically, the surface image of the photovoltaic panel can be obtained. Among them, the present application does not limit the process of obtaining the surface image of the photovoltaic panel.

[0098] Optionally, the surface image of the photovoltaic panel can be obtained by direct shooting. Optionally, it can be shot by a high-definition camera: a high-definition camera can be installed in the photovoltaic power station, and the surface image of the photovoltaic panel can be shot by means of regular or real-time monitoring. This method can directly obtain the real-time state of the photovoltaic panel, which is convenient for timely discovery and handling of problems. Optionally, it can be obtained by drone aerial photography: for large-scale photovoltaic power stations, drones can be used for aerial photography to obtain a wider and more comprehensive image of the photovoltaic panel. Drone aerial photography not only has high efficiency but also can capture the detailed information of the photovoltaic panel.

[0099] Optionally, the surface image of the photovoltaic panel can be obtained by means of remote sensing image extraction. Optionally, high-resolution remote sensing images can be taken first by a high-resolution remote sensing satellite or an aircraft, and then the surface image of the photovoltaic panel can be extracted through image processing technology. This method is applicable to large-scale and continuously distributed photovoltaic power stations and can quickly obtain a large amount of photovoltaic panel image data. Optionally, high-resolution remote sensing images can be taken first by a high-resolution remote sensing satellite or an aircraft, and then the photovoltaic panels can be accurately extracted from the remote sensing images through a semantic segmentation model, that is, a semantic segmentation model based on deep learning, such as U-Net, DeepLabV3+, etc. These models can automatically identify and segment the photovoltaic panel areas in the remote sensing images through training, so as to obtain the surface images of the photovoltaic panels.

[0100] Optionally, robot inspection can also be used: deploy inspection robots in the photovoltaic power station. The robots carry sensor devices such as cameras and walk among the photovoltaic panels to take pictures. This method can achieve close-range and high-precision shooting of the photovoltaic panels, but the cost is relatively high.

[0101] Optionally, shooting with a handheld device can also be used: maintenance personnel can use a handheld device (such as a smartphone, a camera, etc.) to take pictures of the photovoltaic panels. This method is applicable to small-scale photovoltaic power stations or temporary inspections, but the efficiency is low and it is difficult to ensure the consistency of image quality.

[0102] In summary, there are various ways to obtain the surface image of the photovoltaic panel. Which method to choose specifically depends on factors such as the scale, geographical location, budget, and actual needs of the photovoltaic power station. In practical applications, the above methods can be flexibly selected or combined according to specific situations.

[0103] Step S302: Based on edge detection technology and contour extraction technology, determine whether there are any obstacles on the surface of the photovoltaic panel according to the surface image of the photovoltaic panel.

[0104] Specifically, after obtaining the surface image of the photovoltaic panel, it is possible to determine whether there are any obstacles on the surface of the photovoltaic panel based on edge detection technology and contour extraction technology according to the surface image of the photovoltaic panel.

[0105] Among them, the edge is one of the important features in the image and can provide key information about the object boundary.

[0106] Among them, edge detection technology is a fundamental problem in image processing and computer vision, aiming to identify points with obvious brightness changes in digital images. These points with obvious brightness changes usually correspond to the turning points of object contours or shapes, reflecting important features in the image, such as discontinuities in depth, discontinuities in surface direction, changes in material properties, and changes in scene illumination. Edge detection greatly reduces the amount of data, eliminates information that can be considered irrelevant, and retains the important structural attributes of the image. It is the basis for many advanced image processing tasks, such as contour extraction, shape recognition, and image segmentation. There are various methods for edge detection, but generally they can be divided into two categories: search-based methods and zero-crossing-based methods. Search-based methods first calculate the edge strength, usually represented by the first derivative, such as the gradient magnitude, and then use this direction to find the maximum value of the local gradient magnitude. Zero-crossing-based methods find the zero-crossing points of the second derivative obtained from the image to locate the edges, usually using the Laplacian operator or the zero-crossing points of non-linear differential equations. In practical applications, filtering is usually necessary as a preprocessing step for edge detection, and Gaussian filtering is usually adopted.

[0107] Optionally, the process of processing the surface image of the photovoltaic panel by the edge detection technology proposed in this application can be: using the Canny edge detection algorithm, first calculating the image gradient to determine the positions with significant intensity changes, and then accurately depicting the edges of the object through non-maximum suppression and double-threshold mechanisms.

[0108] Among them, after edge detection, discrete edge points need to be connected to form a closed contour. For this purpose, contour extraction techniques, such as the boundary tracking algorithm, can accurately capture the outer shape of the object while maintaining the integrity of its shape and size. This step helps to ensure that the selected area actually corresponds to an existing object.

[0109] Among them, contour extraction technology is used to obtain the contours in the picture. Contours in the image are defined as places with relatively drastic and continuous changes in gray values. The basic idea of contour extraction is to use edge enhancement operators to highlight the local edges in the image, then define the "edge strength" of pixels, and extract the set of edge points by setting thresholds. After obtaining the set of edge points, some boundary points need to be removed or boundary discontinuities filled, and these edges are connected into complete lines to obtain the contours of the image. Contour extraction technology mainly includes image preprocessing technology, threshold segmentation technology, contour extraction technology, and chain code tracking technology, etc. Among them, image preprocessing technology is used to eliminate noise in the image and improve the clarity of the image; threshold segmentation technology is used to segment the image into foreground and background to facilitate subsequent contour extraction; contour extraction technology uses methods such as edge detection to extract the contours of the image; chain code tracking technology is used to store and represent the extracted contours for subsequent image analysis and processing.

[0110] Step S303: If it is determined that there is an occluder, based on a preset object detection model, the surface image of the photovoltaic panel is detected to obtain the position information and category information of the occluder.

[0111] Specifically, according to the process in step S302, if it is determined that there is an occluder on the surface of the photovoltaic panel, the surface image of the photovoltaic panel can be detected based on a preset object detection model to obtain the position information and category information of the occluder.

[0112] Among them, the training samples for training the preset object detection module are obtained by photographing the photovoltaic panel from different shooting angles. Among them, the initial model for training the preset object detection module can be any object detection model. For example, the YOLOv8 model.

[0113] Optionally, the process of detecting the surface image of the photovoltaic panel based on a preset object detection model to obtain the position information and category information of the occluder may include:

[0114] Based on a preset object detection model, candidate box calibration processing is performed on the surface image of the photovoltaic panel to obtain at least one obstacle candidate box.

[0115] Based on a preset object detection model, feature extraction processing is performed on at least one obstacle candidate box, and the category information is determined according to the extracted features.

[0116] Based on a preset object detection model, screening processing is performed on at least one obstacle candidate box, and the position information of the occluder is determined according to the screened obstacle candidate box.

[0117] Among them, in the process of candidate box calibration, each occluder corresponds to at least one obstacle candidate box. In the process of feature extraction, by performing feature extraction processing on each obstacle candidate box among at least one obstacle candidate box of the same occluder, the accuracy of feature extraction can be improved.

[0118] Optionally, after obtaining the extracted features, a classifier included in the preset object detection model can be used to analyze the features extracted from at least one obstacle candidate box of the same occluder to determine the category information of the occluder.

[0119] Specifically, in the process of candidate box screening, the best one can be selected from at least one obstacle candidate box of the same occluder, that is, the obstacle candidate box that most tightly encloses the occluder, as the obstacle candidate box of the occluder. Then, according to the position information of the screened obstacle candidate box, it is determined as the position information of the occluder.

[0120] Among them, in the process of detecting the surface image of the photovoltaic panel based on a preset object detection model to obtain the position information and category information of the occluder, by calibrating multiple obstacle candidate boxes, the comprehensiveness of feature extraction can be improved, thereby improving the accuracy of category information determination. By calibrating multiple obstacle candidate boxes and screening processing, the accuracy of position information determination can be improved. Combining the above descriptions, the accuracy of position information and category information determination can be improved, and further improve the stability of the photovoltaic system.

[0121] Perform image grayscale processing and image noise reduction processing on the surface image of the photovoltaic panel.

[0122] Among them, due to the high complexity of the surface image of the photovoltaic, for example, the images collected by drones or fixed cameras, the amount of information contained in each pixel point is three times that of a single-channel grayscale image, which greatly increases the computational burden. Therefore, the present invention uses the YUV weighted grayscale method to convert the RGB image into a grayscale image to simplify the data and reduce redundant information. The grayscale value Y is obtained by adding the red (R), green (G), and blue (B) channels according to weights, and its formula is: Y = 0.299×R + 0.587×G + 0.114×B.

[0123] Among them, in order to further improve the image quality, we applied image noise reduction processing, for example, the Gaussian filtering algorithm to remove the noise in the image. The Gaussian filter uses a two-dimensional Gaussian function as the convolution kernel, slide this convolution kernel on the image, and smooth the pixel values of each pixel point and its neighborhood through weighted averaging, thereby reducing the high-frequency noise components in the image.

[0124] Among them, before detecting the surface image of the photovoltaic panel based on a preset object detection model to obtain the position information and category information of the occluder, image grayscale processing can reduce the complexity of the image and improve the efficiency of position information and category information determination. Image noise reduction processing can remove the noise in the image and improve the accuracy of position information and category information determination. Combining the above descriptions, the efficiency and accuracy of position information and category information determination are improved, and further improve the stability of the photovoltaic system.

[0125] In the process of obtaining the position information and category information of the obstacles on the surface of the photovoltaic panel provided by the embodiments of the present application, through edge detection technology and contour extraction technology, first determining whether there are obstacles on the surface of the photovoltaic panel can improve the efficiency and accuracy of obtaining the position information and category information. By using the training samples obtained after photographing the photovoltaic panel from different shooting angles, the preset target detection module trained thereby can obtain the position information and category information, which can improve the accuracy of the recognized position information and category information. Based on the above description, the process of obtaining the position information and category information of the obstacles on the surface of the photovoltaic panel provided by this embodiment can improve the accuracy of obtaining the position information and category information, and further improve the stability of the photovoltaic system.

[0126] Figure 4 The structural schematic diagram of the operation control device of the photovoltaic system provided by the present application is as Figure 4 shown. The operation control device 40 of the photovoltaic system provided by this embodiment includes:

[0127] An acquisition module 401, configured to acquire the basic information of the photovoltaic panel, and the position information and category information of the obstacles on the surface of the photovoltaic panel;

[0128] A determination module 402, configured to calculate the lost power generation of the photovoltaic panel based on at least one of the position information and category information of the obstacle and the basic information;

[0129] A processing module 403, configured to adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power.

[0130] The operation control device of the photovoltaic system provided by this embodiment can execute the method provided by the above method embodiment, and its implementation principle and technical effect are similar, and will not be elaborated here in this embodiment.

[0131] Figure 5 The structural schematic diagram of the electronic device provided by the present application. As Figure 5 shown, the electronic device 50 provided by this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. Among them, the processor 501, the memory 502, and the communication component 503 are connected through a bus 504.

[0132] In the specific implementation process, at least one processor 501 executes the computer execution instructions stored in the memory 502, so that at least one processor 501 executes the above method.

[0133] The specific implementation process of the processor 501 can refer to the above method embodiment, and its implementation principle and technical effect are similar, and will not be elaborated here in this embodiment.

[0134] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU for short), or other general-purpose processors, digital signal processors (DSP for short), application specific integrated circuits (ASIC for short), etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in combination with the invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

[0135] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0136] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0137] This application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0138] This application also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the above method is implemented.

[0139] The above-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a disk or an optical disc. The readable storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0140] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an Application Specific Integrated Circuit (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in a device.

[0141] The division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the couplings or direct couplings or communication connections shown or discussed between each other can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0144] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or part of this technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks or optical discs that can store program codes.

[0145] Those of ordinary skill in the art will understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments; and the aforementioned storage medium includes: various media such as ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0146] Finally, it should be noted that: after considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present invention. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A photovoltaic system operation control method, characterized in that: include: Acquire basic information of the photovoltaic panel, and location information and category information of obstructions located on the surface of the photovoltaic panel; Calculating the lost power generation of the photovoltaic panel based on at least one of the position information and the category information of the shielding object and the basic information; The current output power of each photovoltaic panel in the photovoltaic system is adjusted according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power.

2. The method according to claim 1, characterized in that Calculating the lost power generation of the photovoltaic panel based on the basic information and the location information and category information of the shielding object includes: Based on at least one of the location information and the category information of the obstruction, determining the influence factor of the obstruction; wherein the influence factor represents the influence degree of the obstruction on the power generation of the photovoltaic panel; The lost power generation of the photovoltaic panel is calculated according to the determined influence factor of the obstruction, the basic information, and the position information of the obstruction.

3. The method according to claim 2, characterized in that The basic information includes: surface area information of the photovoltaic panel and input light intensity information; according to the determined influencing factor of the shielding object, the basic information, and the position information of the shielding object, the lost power generation of the photovoltaic panel is calculated, including: Determine a first power generation amount according to the surface area information of the photovoltaic panel and the input light intensity information; wherein the first power generation amount is an estimated power generation amount of the photovoltaic panel before being blocked by an obstacle; Determine the light intensity after the occlusion according to the surface area information of the photovoltaic panel, the influence factor of the occlusion, the position information of the occlusion, and the input light intensity information; Determine a second power generation amount according to the surface area information of the photovoltaic panel and the light intensity after the shading; wherein the second power generation amount is an estimated power generation amount of the photovoltaic panel after the obstacle shading; A difference between the first power generation and the second power generation is determined as the power generation loss of the photovoltaic panel.

4. The method according to claim 1, characterized in that: The basic information includes the location information of the photovoltaic panels; adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power, including: If the lost power generation is less than the lost power generation threshold, adjusting the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation to control the photovoltaic system to operate at a preset output power; If the lost power generation is greater than or equal to the lost power generation threshold, obstacle clearing prompt information is generated and presented according to the location information of the photovoltaic panel and the category information of the obstruction.

5. The method according to any one of claims 1 to 4, characterized in that: The process of obtaining the position information and category information of the obstruction located on the surface of the photovoltaic panel includes: Acquiring a surface image of the photovoltaic panel; Based on edge detection technology and contour extraction technology, determining whether there is an obstruction on the surface of the photovoltaic panel according to the surface image of the photovoltaic panel; If it is determined that there is an obstruction, the surface image of the photovoltaic panel is detected and processed based on a preset target detection model to obtain the position information and category information of the obstruction; The training samples used to train the preset target detection module are obtained by photographing the photovoltaic panels based on different shooting angles.

6. The method according to claim 5, characterized in that Based on a preset target detection model, the surface image of the photovoltaic panel is detected and processed to obtain the position information and category information of the obstruction, including: Based on a preset target detection model, performing candidate frame calibration processing on the surface image of the photovoltaic panel to obtain at least one obstacle candidate frame; Based on a preset target detection model, perform feature extraction processing on the at least one obstacle candidate frame, and determine the category information according to the extracted features; Based on a preset target detection model, the at least one obstacle candidate frame is screened, and the position information of the occluder is determined according to the screened obstacle candidate frame.

7. The method according to claim 5, characterized in that The method further comprises: The surface image of the photovoltaic panel is subjected to image grayscale processing and image noise reduction processing.

8. An operation control device for a photovoltaic system, characterized in that: include: An acquisition module, used to acquire basic information of the photovoltaic panel, and location information and category information of obstructions located on the surface of the photovoltaic panel; A determination module, configured to calculate the lost power generation of the photovoltaic panel based on at least one of the location information and the category information of the shielding object and the basic information; The processing module is used to adjust the current output power of each photovoltaic panel in the photovoltaic system according to the lost power generation, so as to control the photovoltaic system to operate at a preset output power.

9. An electronic device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

11. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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