Photovoltaic panel cleaning method and device, storage medium and electronic device

Abstract

The invention discloses a photovoltaic panel cleaning method and device, a storage medium and an electronic device, and relates to the field of computers.The photovoltaic panel cleaning method comprises the steps that pollutant collection is conducted on a photovoltaic panel, the collected pollutants are analyzed, and a pollutant collection result is obtained; weather prediction is carried out on a target area, a weather prediction result of the target area in a first time period is obtained, and the photovoltaic panel is located in the target area; determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological prediction result, and cleaning the photovoltaic panel according to the photovoltaic cleaning strategy; according to the scheme, the problems that in the related technology, due to the fact that a traditional photovoltaic cleaning method lacks intelligence, excessive cleaning or untimely cleaning possibly exists, and energy is wasted or the power generation efficiency is reduced are solved.

Description

Technical Field

[0001] The present application relates to the field of computers, and more specifically, to a photovoltaic panel cleaning method and device, a storage medium, and an electronic device. Background Art

[0002] With the rapid development of the photovoltaic industry, the cleaning of photovoltaic panels has received increasing attention. Traditional photovoltaic cleaning methods often lack pertinence and timeliness, and cannot be intelligently adjusted according to actual meteorological conditions and the pollution of photovoltaic panels. At the same time, existing cleaning strategies may have problems such as excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency.

[0003] Regarding the related technologies, the traditional photovoltaic cleaning methods lack intelligence, which may lead to problems such as excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency. No effective solution has been proposed yet.

[0004] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0005] The embodiments of the present application provide a photovoltaic panel cleaning method and device, a storage medium and an electronic device to at least solve the problem in the related art that the traditional photovoltaic cleaning method lacks intelligence, which may lead to excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency.

[0006] According to one aspect of an embodiment of the present application, a method for cleaning a photovoltaic panel is provided, comprising: collecting pollutants from the photovoltaic panel, and analyzing the collected pollutants to obtain pollutant collection results; performing meteorological forecasting on a target area to obtain meteorological forecast results for the target area within a first time period, wherein the photovoltaic panel is located in the target area; determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel based on the pollutant collection results and the meteorological forecast results, and cleaning the photovoltaic panel based on the photovoltaic cleaning strategy.

[0007] In an exemplary embodiment, pollutants are collected from a photovoltaic panel, and the collected pollutants are analyzed to obtain pollutant collection results, including: collecting pollutants from the photovoltaic panel through a collection component, and obtaining the pollutants collected by the collection component; performing category detection on the pollutants to obtain the pollutant category of the pollutants, and performing weight detection on the pollutants to determine the accumulation degree of the pollutants; determining the pollutant collection results according to the pollutant category and the accumulation degree.

[0008] In an exemplary embodiment, a weather forecast is performed on a target area to obtain a weather forecast result for the target area in a first time period, including: obtaining historical weather data of the target area in a second time period, wherein the first time period is later than the second time period; processing the historical weather data through a time series model to obtain the weather forecast result for the target area in the first time period, wherein the weather forecast result includes at least one of the following: whether it will rain, the amount of rainfall, and the air quality.

[0009] In an exemplary embodiment, a photovoltaic cleaning strategy for cleaning the photovoltaic panel is determined based on the pollutant collection result and the meteorological forecast result, including: when the pollutant collection result indicates that the first pollution level of the photovoltaic panel is less than a first threshold value, and the meteorological forecast result indicates that there is rainfall in the target area within the first time period, determining to prohibit cleaning of the photovoltaic panel; when the pollutant collection result indicates that the first pollution level is greater than the first threshold value, and the meteorological forecast result indicates that there is no rainfall in the target area within the first time period, determining to clean the photovoltaic panel by a cleaning device.

[0010] In an exemplary embodiment, before determining to clean the photovoltaic panel by a cleaning device, the method further includes: determining a type of the cleaning device according to the first contamination level, wherein the cleaning device includes: a high-pressure water gun, a robot, and a drone.

[0011] In an exemplary embodiment, after determining that the photovoltaic panel is cleaned by a cleaning device, the method further includes: cleaning the photovoltaic panel by the cleaning device; collecting pollutants from the photovoltaic panel by a collection component, and acquiring the pollutants collected by the collection component; performing weight detection on the pollutants to determine the accumulation degree of the pollutants, and determining a second contamination degree of the photovoltaic panel based on the accumulation degree; and when it is determined that the second contamination degree is greater than a second threshold, re-cleaning the photovoltaic panel by the cleaning device.

[0012] According to another aspect of an embodiment of the present application, a photovoltaic panel cleaning device is also provided, including: an analysis module, used to collect pollutants from the photovoltaic panel, and analyze the collected pollutants to obtain pollutant collection results; a meteorological forecast module, used to perform meteorological forecast on a target area, and obtain meteorological forecast results for the target area within a first time period, wherein the photovoltaic panel is located in the target area; a cleaning module, used to determine a photovoltaic cleaning strategy for cleaning the photovoltaic panel based on the pollutant collection results and the meteorological forecast results, and clean the photovoltaic panel according to the photovoltaic cleaning strategy.

[0013] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned photovoltaic panel cleaning method when running.

[0014] According to another aspect of the embodiments of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the photovoltaic panel cleaning method through the computer program.

[0015] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0016] Through the present application, pollutants are first collected from the photovoltaic panels, and the collected pollutants are analyzed to obtain pollutant collection results; then a meteorological forecast is conducted on the target area where the photovoltaic panels are located to obtain the meteorological forecast results for the target area in the first time period; finally, the most appropriate photovoltaic cleaning strategy is intelligently determined in combination with the pollutant collection results and the meteorological forecast results, and the photovoltaic panels are cleaned using the photovoltaic cleaning strategy; the above scheme is used to intelligently adjust the cleaning strategy in combination with the actual meteorological conditions and the pollution situation of the photovoltaic panels, thereby saving energy while ensuring the cleanliness of the photovoltaic panels; thereby solving the problem in the related technology that the traditional photovoltaic cleaning method lacks intelligence, which may lead to excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 It is a hardware structure block diagram of a computer terminal of a photovoltaic panel cleaning method according to an embodiment of the present application;

[0020] Figure 2 is a flow chart of a photovoltaic panel cleaning method according to an embodiment of the present application;

[0021] Figure 3 is a structural block diagram of an optional photovoltaic panel cleaning system according to an embodiment of the present application;

[0022] Figure 4 It is a structural block diagram of a photovoltaic panel cleaning device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal of a photovoltaic panel cleaning method according to an embodiment of the present application. Figure 1As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, MCU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0026] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the photovoltaic panel cleaning method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories can be connected to the computer terminal 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.

[0027] A wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0028] In this embodiment, a method for cleaning a photovoltaic panel is provided. Figure 2 is a flow chart of a photovoltaic panel cleaning method according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S206:

[0029] Step S202: collecting pollutants from the photovoltaic panel and analyzing the collected pollutants to obtain pollutant collection results;

[0030] Step S204: performing a weather forecast on a target area to obtain a weather forecast result for the target area in a first time period, wherein the photovoltaic panel is located in the target area;

[0031] Step S206: determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and cleaning the photovoltaic panel according to the photovoltaic cleaning strategy.

[0032] Through the above steps, pollutants are first collected from the photovoltaic panels, and the collected pollutants are analyzed to obtain pollutant collection results; then, a meteorological forecast is conducted on the target area where the photovoltaic panels are located to obtain the meteorological forecast results for the target area in the first time period; finally, the most appropriate photovoltaic cleaning strategy is intelligently determined in combination with the pollutant collection results and the meteorological forecast results, and the photovoltaic panels are cleaned using the photovoltaic cleaning strategy; the above scheme is used to intelligently adjust the cleaning strategy in combination with the actual meteorological conditions and the pollution situation of the photovoltaic panels, thereby saving energy while ensuring the cleanliness of the photovoltaic panels; thereby solving the problem in related technologies that traditional photovoltaic cleaning methods lack intelligence, which may lead to excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency.

[0033] In an exemplary embodiment, pollutants are collected from a photovoltaic panel, and the collected pollutants are analyzed to obtain pollutant collection results, including: collecting pollutants from the photovoltaic panel through a collection component, and obtaining the pollutants collected by the collection component; performing category detection on the pollutants to obtain the pollutant category of the pollutants, and performing weight detection on the pollutants to determine the accumulation degree of the pollutants; determining the pollutant collection results according to the pollutant category and the accumulation degree.

[0034] The process of collecting and analyzing pollutants includes: first, using a collection component to collect pollutants from the photovoltaic panel and collect the collected pollutants; on the one hand, the pollutants are classified and determined; on the other hand, the pollutants are weighed and the degree of accumulation of pollutants is determined. The types of pollutants include dust, dirt, bird droppings, etc.

[0035] For example, the collection component can be understood as a self-sampling module, including a sticky brush. The center wheel and drive wheel of the sticky brush are equipped with torque sensors. The self-sampling module is also equipped with a self-weighing instrument and a small camera to view the surface of the sticky brush. The sticky brush rolls along the surface of the photovoltaic panel for multiple circles. The sticky brush can judge the type and accumulation degree of pollutants based on the friction torque and driving torque feedback, as well as the weighing changes after bringing back the pollutants and the image of the sticky brush attachments, such as the accumulation degree of dust, dirt, bird droppings and other pollutants.

[0036] Optionally, a weather forecast is performed on the target area to obtain a weather forecast result for the target area in a first time period, including: obtaining historical weather data of the target area in a second time period, wherein the first time period is later than the second time period; processing the historical weather data through a time series model to obtain the weather forecast result for the target area in the first time period, wherein the weather forecast result includes at least one of the following: whether it will rain, the amount of rainfall, and the air quality.

[0037] Weather forecasting for the target area can be accomplished through a weather forecast module, which collects weather data (i.e., the above-mentioned historical weather data) from the past year (the data is used only as an example, and can also be other times) in advance, such as rainfall, wind speed, humidity, temperature, and sandstorms, etc., and predicts the weather for the next 24 hours (the first time period) based on the LSTM model (time series model), especially the rainfall. The forecast results include whether there will be rainfall in the future, the amount of rainfall, whether there will be sandstorms, etc.

[0038] Optionally, a photovoltaic cleaning strategy for cleaning the photovoltaic panel is determined based on the pollutant collection result and the meteorological forecast result, including: when the pollutant collection result indicates that the first pollution level of the photovoltaic panel is less than a first threshold value, and the meteorological forecast result indicates that there is rainfall in the target area within the first time period, determining to prohibit cleaning of the photovoltaic panel; when the pollutant collection result indicates that the first pollution level is greater than the first threshold value, and the meteorological forecast result indicates that there is no rainfall in the target area within the first time period, determining to clean the photovoltaic panel by a cleaning device.

[0039] The work of determining the photovoltaic cleaning strategy can be completed by the cleaning strategy control module. The cleaning strategy control module will formulate a reasonable photovoltaic cleaning strategy based on the meteorological forecast results and self-sampling data (i.e., the above-mentioned pollutant collection results), such as the pollution level threshold, rainfall waiting time, etc. If it is predicted that there will be rainfall in the future, and the current pollution level of the photovoltaic panel is relatively light (i.e., the first pollution level is less than the first threshold), you can choose to wait for the rainfall to clean naturally, without actively cleaning the photovoltaic panel; if it is predicted that there will be no rainfall in the future, and the pollution level of the photovoltaic panel is relatively heavy (i.e., the first pollution level is greater than the first threshold), the cleaning equipment is started for cleaning.

[0040] Optionally, before determining to clean the photovoltaic panel by a cleaning device, the method further includes: determining a type of the cleaning device according to the first contamination level, wherein the cleaning device includes: a high-pressure water gun, a robot, and a drone.

[0041] Furthermore, after determining that the photovoltaic panels need to be cleaned by cleaning equipment, you can further select cleaning methods of different intensities according to the degree of contamination. The different cleaning methods specifically include: high-pressure water gun cleaning, brush cleaning, robot cleaning, drone cleaning, etc. You can choose the cleaning method of corresponding intensity according to the specific degree of contamination to achieve the best cleaning effect.

[0042] Optionally, after determining that the photovoltaic panel is cleaned by the cleaning device, the method further includes: cleaning the photovoltaic panel by the cleaning device; collecting pollutants from the photovoltaic panel by a collection component, and acquiring the pollutants collected by the collection component; performing weight detection on the pollutants to determine the accumulation degree of the pollutants, and determining a second contamination degree of the photovoltaic panel based on the accumulation degree; when it is determined that the second contamination degree is greater than a second threshold, re-cleaning the photovoltaic panel by the cleaning device.

[0043] Optionally, the photovoltaic panel cleaning system provided in the embodiment of the present application also includes a re-checking module. After determining that the photovoltaic panel is cleaned by the cleaning equipment, or after waiting for natural cleaning by rainfall, the re-checking module will re-check the cleaning effect of the photovoltaic panel through the self-sampling module. If the cleaning effect is not achieved (that is, the second pollution level is greater than the second threshold), it is necessary to call the cleaning equipment again for cleaning to ensure that the photovoltaic panel can be completely cleaned.

[0044] The method described in the above embodiment can be carried out as follows Figure 3 The photovoltaic panel cleaning system shown is implemented as Figure 3As shown, the system specifically includes: a weather forecast module 32, a self-sampling module 34, a cleaning strategy control module 36, a re-checking module 38, and a cleaning control system software 40. The functions of each module are introduced below:

[0045] Weather forecast module 32: By collecting weather data from the past year, such as rainfall, wind speed, humidity, temperature, and sandstorms, the weather, especially rainfall, of the next 24 hours is forecasted based on the LSTM model. The forecast results include whether there will be rainfall, rainfall amount, and whether there will be sandstorms.

[0046] Self-sampling module 34: A sticky brush can be set in the vertical and horizontal directions of the photovoltaic panel. The center wheel and the driving wheel of the sticky brush are equipped with torque sensors. The self-sampling module is also equipped with a self-weighing instrument and a small camera to view the surface of the sticky brush. The sticky brush rolls along the surface of the photovoltaic panel for multiple circles. The sticky brush can detect the type and accumulation degree of pollutants based on the friction torque and driving torque feedback, as well as the weighing changes after pollution and the image of the sticky brush attachment, such as the accumulation degree of dust, dirt, bird droppings and other pollutants.

[0047] Cleaning strategy control module 36: According to the meteorological forecast results and self-sampling data, formulate a reasonable photovoltaic cleaning strategy, such as pollution level threshold, rainfall waiting time, etc. If it is predicted that there will be rainfall in the future and the current pollution level of the photovoltaic panel is relatively light, you can choose to wait for rainfall for natural cleaning; if it is predicted that there will be no rainfall in the future and the pollution level of the photovoltaic panel is relatively heavy, start the cleaning equipment for cleaning. The cleaning equipment can choose different cleaning methods according to the pollution level, such as high-pressure water gun cleaning, brush cleaning, robot cleaning, drone cleaning, etc.

[0048] It should be noted that the above only illustrates two simple examples of optional cleaning strategies. In actual application, different situations can be subdivided more finely according to the amount of rainfall, wind speed and degree of pollution, and different cleaning strategies can be formulated. For example, when the rainfall is small, low-power cleaning equipment can be used to assist in cleaning, and the cleaning effect can also be achieved. This application does not impose any restrictions on this.

[0049] Re-check module 38: The self-sampling module can be used to repeat the cleaning effect check (i.e., the pollutant collection and analysis process). If the cleaning effect is not achieved, the cleaning equipment is called again for cleaning.

[0050] Cleaning control system software 40: Intelligent control of the entire cleaning process, including dust-related meteorological forecast models, torque, image, and weighing information collection and diagnosis of the self-sampling module, start, stop, and operating parameter adjustment of the automated cleaning equipment, etc. At the same time, the system can conduct self-learning and optimization according to actual conditions, and continuously improve the accuracy and effectiveness of the cleaning strategy.

[0051] Through the above system and method, on the one hand, through weather forecasting and self-sampling technology, the cleaning needs of photovoltaic panels can be timely and accurately determined, avoiding unnecessary cleaning operations and improving cleaning efficiency. On the other hand, keeping the photovoltaic panel clean can improve its light transmittance, thereby improving the power generation efficiency of the photovoltaic panel.

[0052] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0053] In this embodiment, a photovoltaic panel cleaning device 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 for 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.

[0054] Figure 4 : is a structural block diagram of a photovoltaic panel cleaning device according to an embodiment of the present application, the device comprising:

[0055] The analysis module 42 is used to collect pollutants from the photovoltaic panel and analyze the collected pollutants to obtain pollutant collection results;

[0056] A weather forecast module 44 is used to perform weather forecast on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area;

[0057] The cleaning module 46 is used to determine a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and clean the photovoltaic panel according to the photovoltaic cleaning strategy.

[0058] Through the above-mentioned device, pollutants are first collected from the photovoltaic panel, and the collected pollutants are analyzed to obtain pollutant collection results; then, a meteorological forecast is conducted on the target area where the photovoltaic panel is located to obtain the meteorological forecast results of the target area in the first time period; finally, the most appropriate photovoltaic cleaning strategy is intelligently determined in combination with the pollutant collection results and the meteorological forecast results, and the photovoltaic panel is cleaned using the photovoltaic cleaning strategy; by adopting the above-mentioned scheme, the cleaning strategy is intelligently adjusted in combination with the actual meteorological conditions and the pollution situation of the photovoltaic panel, thereby saving energy while ensuring the cleanliness of the photovoltaic panel; thereby solving the problem in the related technology that the traditional photovoltaic cleaning method lacks intelligence, which may lead to excessive cleaning or untimely cleaning, resulting in energy waste or reduced power generation efficiency.

[0059] Optionally, the above-mentioned analysis module 42 is also used to collect pollutants from the photovoltaic panel through a collection component, and obtain the pollutants collected by the collection component; perform category detection on the pollutants to obtain the pollutant category of the pollutants, and perform weight detection on the pollutants to determine the accumulation degree of the pollutants; determine the pollutant collection results according to the pollutant category and the accumulation degree.

[0060] The process of collecting and analyzing pollutants includes: first, using a collection component to collect pollutants from the photovoltaic panel and collect the collected pollutants; on the one hand, the pollutants are classified and determined; on the other hand, the pollutants are weighed and the degree of accumulation of pollutants is determined. The types of pollutants include dust, dirt, bird droppings, etc.

[0061] For example, the collection component can be understood as a self-sampling module, including a sticky brush. The center wheel and drive wheel of the sticky brush are equipped with torque sensors. The self-sampling module is also equipped with a self-weighing instrument and a small camera to view the surface of the sticky brush. The sticky brush rolls along the surface of the photovoltaic panel for multiple circles. The sticky brush can judge the type and accumulation degree of pollutants based on the friction torque and driving torque feedback, as well as the weighing changes after bringing back the pollutants and the image of the sticky brush attachments, such as the accumulation degree of dust, dirt, bird droppings and other pollutants.

[0062] Optionally, the above-mentioned meteorological forecast module 44 is also used to obtain historical meteorological data of the target area in a second time period, wherein the first time period is later than the second time period; the historical meteorological data is processed by a time series model to obtain the meteorological forecast result of the target area in the first time period, wherein the meteorological forecast result includes at least one of the following: whether it rains, the amount of rainfall, and the air quality.

[0063] Weather forecasting for the target area can be accomplished through a weather forecast module, which collects weather data (i.e., the above-mentioned historical weather data) from the past year (the data is used only as an example, and can also be other times) in advance, such as rainfall, wind speed, humidity, temperature, and sandstorms, etc., and predicts the weather for the next 24 hours (the first time period) based on the LSTM model (time series model), especially the rainfall. The forecast results include whether there will be rainfall in the future, the amount of rainfall, whether there will be sandstorms, etc.

[0064] Optionally, the above-mentioned cleaning module 46 is also used to determine that cleaning of the photovoltaic panel is prohibited when the pollutant collection result indicates that the first pollution level of the photovoltaic panel is less than a first threshold value and the meteorological forecast result indicates that there is rainfall in the target area within the first time period; and to determine that the photovoltaic panel is cleaned by a cleaning device when the pollutant collection result indicates that the first pollution level is greater than the first threshold value and the meteorological forecast result indicates that there is no rainfall in the target area within the first time period.

[0065] The work of determining the photovoltaic cleaning strategy can be completed by the cleaning strategy control module. The cleaning strategy control module will formulate a reasonable photovoltaic cleaning strategy based on the meteorological forecast results and self-sampling data (i.e., the above-mentioned pollutant collection results), such as the pollution level threshold, rainfall waiting time, etc. If it is predicted that there will be rainfall in the future, and the current pollution level of the photovoltaic panel is relatively light (i.e., the first pollution level is less than the first threshold), you can choose to wait for the rainfall to clean naturally, without actively cleaning the photovoltaic panel; if it is predicted that there will be no rainfall in the future, and the pollution level of the photovoltaic panel is relatively heavy (i.e., the first pollution level is greater than the first threshold), the cleaning equipment is started for cleaning.

[0066] Optionally, the cleaning module 46 is further used to determine the type of the cleaning equipment according to the first contamination level, wherein the cleaning equipment includes: a high-pressure water gun, a robot, and a drone.

[0067] Furthermore, after determining that the photovoltaic panels need to be cleaned by cleaning equipment, you can further select cleaning methods of different intensities according to the degree of contamination. The different cleaning methods specifically include: high-pressure water gun cleaning, brush cleaning, robot cleaning, drone cleaning, etc. You can choose the cleaning method of corresponding intensity according to the specific degree of contamination to achieve the best cleaning effect.

[0068] Optionally, the above-mentioned cleaning module 46 is also used to clean the photovoltaic panel through the cleaning device; collect pollutants from the photovoltaic panel through a collection component, and obtain the pollutants collected by the collection component; perform weight detection on the pollutants to determine the accumulation degree of the pollutants, and determine a second contamination degree of the photovoltaic panel based on the accumulation degree; when it is determined that the second contamination degree is greater than a second threshold, clean the photovoltaic panel again through the cleaning device.

[0069] Optionally, the photovoltaic panel cleaning system provided in the embodiment of the present application also includes a re-checking module. After determining that the photovoltaic panel is cleaned by the cleaning equipment, or after waiting for natural cleaning by rainfall, the re-checking module will re-check the cleaning effect of the photovoltaic panel through the self-sampling module. If the cleaning effect is not achieved (that is, the second pollution level is greater than the second threshold), it is necessary to call the cleaning equipment again for cleaning to ensure that the photovoltaic panel can be completely cleaned.

[0070] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0071] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0072] S1, collecting pollutants from the photovoltaic panels, and analyzing the collected pollutants to obtain pollutant collection results;

[0073] S2, performing weather forecasting on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area;

[0074] S3, determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and cleaning the photovoltaic panel according to the photovoltaic cleaning strategy.

[0075] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0076] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0077] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0078] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0079] S1, collecting pollutants from the photovoltaic panels, and analyzing the collected pollutants to obtain pollutant collection results;

[0080] S2, performing weather forecasting on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area;

[0081] S3, determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and cleaning the photovoltaic panel according to the photovoltaic cleaning strategy.

[0082] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0083] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0084] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0085] S1, collecting pollutants from the photovoltaic panels, and analyzing the collected pollutants to obtain pollutant collection results;

[0086] S2, performing weather forecasting on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area;

[0087] S3, determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and cleaning the photovoltaic panel according to the photovoltaic cleaning strategy.

[0088] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0089] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0090] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for cleaning a photovoltaic panel, characterized in that: include: Collect pollutants from photovoltaic panels, analyze the collected pollutants, and obtain pollutant collection results; Performing a weather forecast on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area; A photovoltaic cleaning strategy for cleaning the photovoltaic panel is determined according to the pollutant collection result and the meteorological forecast result, and the photovoltaic panel is cleaned according to the photovoltaic cleaning strategy.

2. The method according to claim 1, characterized in that Collect pollutants from photovoltaic panels and analyze the collected pollutants to obtain pollutant collection results, including: Collecting pollutants from the photovoltaic panel through a collection component, and obtaining the pollutants collected by the collection component; Performing category detection on the pollutants to obtain the pollutant category of the pollutants, and performing weight detection on the pollutants to determine the accumulation degree of the pollutants; The pollutant collection result is determined according to the pollutant type and the accumulation degree.

3. The method according to claim 1, characterized in that Performing weather forecasting on a target area to obtain a weather forecast result for the target area within a first time period includes: Acquire historical meteorological data of the target area in a second time period, wherein the first time period is later than the second time period; The historical meteorological data is processed by a time series model to obtain the meteorological forecast result of the target area in the first time period, wherein the meteorological forecast result includes at least one of the following: whether it will rain, the amount of rainfall, and the air quality.

4. The method according to claim 1, characterized in that Determining a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result includes: When the pollutant collection result indicates that the first pollution degree of the photovoltaic panel is less than a first threshold value, and the meteorological forecast result indicates that there is rainfall in the target area within the first time period, determining to prohibit cleaning of the photovoltaic panel; When the pollutant collection result indicates that the first pollution level is greater than the first threshold and the meteorological forecast result indicates that there is no rainfall in the target area during the first time period, it is determined to clean the photovoltaic panel using a cleaning device.

5. The method according to claim 4, characterized in that Before determining to clean the photovoltaic panel by a cleaning device, the method further includes: The type of the cleaning equipment is determined according to the first contamination level, wherein the cleaning equipment includes: a high-pressure water gun, a robot, and a drone.

6. The method according to claim 4, characterized in that After determining to clean the photovoltaic panel by a cleaning device, the method further includes: Cleaning the photovoltaic panel by using the cleaning device; Collecting pollutants from the photovoltaic panel through a collection component, and obtaining the pollutants collected by the collection component; Performing weight detection on the pollutants to determine the accumulation degree of the pollutants, and determining a second contamination degree of the photovoltaic panel according to the accumulation degree; When it is determined that the second pollution degree is greater than a second threshold, the photovoltaic panel is cleaned again by the cleaning device.

7. A photovoltaic panel cleaning device, characterized in that: include: An analysis module is used to collect pollutants from the photovoltaic panels and analyze the collected pollutants to obtain pollutant collection results; A weather forecast module, used for performing weather forecast on a target area to obtain a weather forecast result for the target area within a first time period, wherein the photovoltaic panel is located in the target area; A cleaning module is used to determine a photovoltaic cleaning strategy for cleaning the photovoltaic panel according to the pollutant collection result and the meteorological forecast result, and clean the photovoltaic panel according to the photovoltaic cleaning strategy.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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