CN118017927A - Automatic cleaning method and system for photovoltaic panel - Google Patents
Automatic cleaning method and system for photovoltaic panel Download PDFInfo
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Abstract
The invention provides a method and a system for automatically cleaning a photovoltaic panel, and relates to the technical field of photovoltaics, wherein the method comprises the following steps: collecting an environment information set of an environment where a photovoltaic panel to be cleaned is located; inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result; according to the panel pollution analysis result, analyzing to obtain a preliminary cleaning scheme; inputting the environmental information set into a photovoltaic charging influence analysis model to obtain charging influence parameters of the environmental information set for influencing charging of the photovoltaic panel to be cleaned; according to the charging influence parameters, analyzing and obtaining cleaning scheme adjustment parameters; and adjusting parameters by adopting a cleaning scheme, adjusting the preliminary cleaning scheme to obtain a final cleaning scheme, and cleaning the photovoltaic panel to be cleaned. The invention solves the technical problem of poor cleaning effect of the photovoltaic panel in the prior art, and achieves the technical effects of improving the cleaning effect of the photovoltaic panel and prolonging the service life of the photovoltaic panel.
Description
Technical Field
The invention relates to the technical field of photovoltaics, in particular to an automatic cleaning method and system for a photovoltaic panel.
Background
The solar energy is inexhaustible clean energy for human beings, and the solar energy is converted into electric energy by photovoltaic power generation, so that the solar energy is environment-friendly. In the application field of photovoltaic power generation, the efficiency of photovoltaic power generation is a main research direction.
Besides other technical reasons, the pollution of the photovoltaic panel is a main reason for influencing the photovoltaic power generation efficiency, and when the photovoltaic panel is covered and polluted by dust, the charging efficiency can be influenced, the charging time is prolonged, the charging frequency is improved, and the service lives of the panel and the storage battery are influenced.
At present, the cleaning of the photovoltaic panel is generally realized through regular cleaning, but the cleaning frequency is completely set through subjectivity, so that the real-time cleaning of the photovoltaic panel cannot be ensured, and the technical problems of poor cleaning effect of the photovoltaic panel when the cleaning frequency is low, excessively high cost when the cleaning efficiency is high and the like are solved.
Disclosure of Invention
The application provides an automatic cleaning method and system for a photovoltaic panel, which are used for solving the technical problems of poor cleaning effect when the cleaning frequency is low, excessive cost when the cleaning efficiency is high, and the like in the prior art.
In view of the above, the present application provides a method and a system for automatically cleaning a photovoltaic panel.
In a first aspect of the present application, there is provided a method for automatically cleaning a photovoltaic panel, the method comprising: collecting parameter information of a plurality of environmental indexes of the environment where the photovoltaic panel to be cleaned is located, and obtaining an environmental information set; inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result; analyzing and obtaining a preliminary cleaning scheme according to the panel pollution analysis result; building a photovoltaic charging influence analysis model; inputting the environmental information set into the photovoltaic charging influence analysis model to obtain charging influence parameters of the environmental information set influencing the charging of the photovoltaic panel to be cleaned; according to the charging influence parameters, analyzing and obtaining cleaning scheme adjustment parameters; and adjusting the preliminary cleaning scheme by adopting the cleaning scheme adjusting parameters to obtain a final cleaning scheme, and cleaning the photovoltaic panel to be cleaned.
In a second aspect of the application, there is provided a photovoltaic panel automatic cleaning system, the system comprising: the environment information acquisition module is used for acquiring parameter information of a plurality of environment indexes of the environment where the photovoltaic panel to be cleaned is positioned, and acquiring an environment information set; the panel pollution analysis module is used for inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result; the preliminary cleaning scheme acquisition module is used for analyzing and acquiring a preliminary cleaning scheme according to the panel pollution analysis result; the charging influence analysis model construction module is used for constructing a photovoltaic charging influence analysis model; the charging influence parameter acquisition module is used for inputting the environment information set into the photovoltaic charging influence analysis model to acquire charging influence parameters of the environment information set on charging of the photovoltaic panel to be cleaned; the cleaning scheme adjustment parameter acquisition module is used for analyzing and acquiring cleaning scheme adjustment parameters according to the charging influence parameters; and the final cleaning scheme acquisition module is used for adjusting the preliminary cleaning scheme by adopting the cleaning scheme adjustment parameters to obtain a final cleaning scheme and cleaning the photovoltaic panel to be cleaned.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
According to the application, parameter information of a plurality of environmental indexes in the environment where the photovoltaic panel to be cleaned is located is acquired, an environmental information set is obtained, the environmental information set is input into a pollution analysis model for analyzing pollution of the photovoltaic panel by the environment, a pollution analysis result is obtained, a preliminary cleaning scheme is further obtained, the environmental information set is input into a photovoltaic charging influence analysis model for analyzing influence of the environment on the charging performance of the photovoltaic panel, a charging influence parameter is obtained, a cleaning scheme adjustment parameter is further obtained, the preliminary cleaning scheme is adjusted, a final cleaning scheme is obtained, and the photovoltaic panel is cleaned. According to the application, the environmental information in the environment where the photovoltaic panel is located is acquired and acquired, the pollution influence of the photovoltaic panel is primarily analyzed, the primary cleaning scheme is constructed, then the influence of the environmental information on the charging of the photovoltaic panel is analyzed, and the primary cleaning scheme is adjusted.
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Fig. 1 is a schematic flow chart of a method for automatically cleaning a photovoltaic panel according to an embodiment of the present application.
Fig. 2 is a schematic flow chart of a method for automatically cleaning a photovoltaic panel according to an embodiment of the present application to obtain a panel pollution analysis result.
Fig. 3 is a schematic flow chart of a photovoltaic charging influence analysis model constructed and obtained in the automatic cleaning method of the photovoltaic panel according to the embodiment of the application.
Fig. 4 is a schematic structural diagram of an automatic cleaning system for a photovoltaic panel according to an embodiment of the present application.
Reference numerals illustrate: the system comprises an environment information acquisition module 11, a panel pollution analysis module 12, a preliminary cleaning scheme acquisition module 13, a charging influence analysis model construction module 14, a charging influence parameter acquisition module 15, a cleaning scheme adjustment parameter acquisition module 16 and a final cleaning scheme acquisition module 17.
Detailed Description
The application provides an automatic cleaning method and system for a photovoltaic panel, which are used for solving the technical problems of poor cleaning effect when the cleaning frequency is low, excessive cost when the cleaning efficiency is high, and the like in the prior art.
Example 1
As shown in fig. 1, the present application provides a method for automatically cleaning a photovoltaic panel, the method comprising:
S100: collecting parameter information of a plurality of environmental indexes of the environment where the photovoltaic panel to be cleaned is located, and obtaining an environmental information set;
Some technicians in the prior art develop a device for automatically cleaning a photovoltaic panel, for example, the device specifically cleans the photovoltaic panel in a timing spraying manner, so that manpower is saved, but the cleaning frequency needs to be set manually, and the technical problems of poor cleaning effect when the cleaning frequency is low, excessive cost when the cleaning efficiency is high and the like are solved. Embodiments of the present application address this problem by formulating a photovoltaic panel cleaning regimen that includes a cleaning frequency.
In the embodiment of the application, the photovoltaic panel to be cleaned is a photovoltaic panel which needs to make a cleaning scheme and automatically clean, is generally arranged outdoors, receives solar rays, converts light energy into electric energy by utilizing a photovoltaic effect, realizes photovoltaic power generation, and then charges a power supply into a photovoltaic storage battery for standby.
The step S100 in the method provided by the embodiment of the application comprises the following steps:
s110: collecting and acquiring dust information of the environment where the photovoltaic panel to be cleaned is located;
s120: acquiring wind speed information of the environment where the photovoltaic panel to be cleaned is located;
s130: acquiring humidity information of the environment where the photovoltaic panel to be cleaned is located;
s140: and taking the dust information, the wind speed information and the humidity information as the environment information set.
Specifically, collecting and acquiring current dust information of an outdoor environment where the photovoltaic panel to be cleaned is located, wherein a time period, for example, one month or one week or the like, collecting and acquiring air dust content information of a plurality of time points in the outdoor environment where the photovoltaic panel to be cleaned is located in the time period, and calculating and acquiring an average value as the current dust information of the outdoor environment where the photovoltaic panel to be cleaned is located. The method for detecting and obtaining the air dust content information in the air can be based on the detection method in the prior art.
Acquiring current wind speed information of an outdoor environment where the photovoltaic panel to be cleaned is located, wherein the wind speed information of a plurality of time points in the outdoor environment where the photovoltaic panel to be cleaned is located in the time period can be acquired, and calculating to obtain a mean value as the current wind speed information of the outdoor environment where the photovoltaic panel to be cleaned is located.
Acquiring current humidity information of an outdoor environment where the photovoltaic panel to be cleaned is located, wherein the current humidity information of the outdoor environment where the photovoltaic panel to be cleaned is located in the time period can be acquired, and the average value is calculated and obtained and used as the current humidity information of the outdoor environment where the photovoltaic panel to be cleaned is located.
The dust information, the wind speed information and the humidity information are environmental information which most influences the surface of the photovoltaic panel to be covered and polluted by dust, and in general, the larger the dust content is, the larger the wind speed is and the smaller the humidity is, the more dust is easily deposited on the surface of the photovoltaic panel, so that the photovoltaic panel is polluted, and the power generation performance is influenced.
And taking the collected dust information, wind speed information and humidity information as the environmental information set and as a data base for preparing the automatic cleaning scheme of the photovoltaic panel. According to the embodiment of the application, three types of environment information with the greatest pollution relevance with the photovoltaic panel in the environment where the photovoltaic panel is located are acquired and acquired to be used as a data base for analyzing the pollution condition of the photovoltaic panel and making a cleaning scheme, so that the analysis accuracy can be improved.
S200: inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result;
As shown in fig. 2, step S200 in the method provided in the embodiment of the present application includes:
s210: acquiring dust information, wind speed information and humidity information in environments where a plurality of photovoltaic panels are located, and acquiring a sample dust information set, a sample wind speed information set and a sample humidity information set;
S220: collecting and acquiring pollution results in environments where a plurality of photovoltaic panels are positioned, and acquiring a sample pollution result set;
s230: dividing parameter information in the sample dust information set, the sample wind speed information set and the sample humidity information set to obtain a plurality of sample environment information sets;
s240: constructing a three-dimensional coordinate space based on dust information, wind speed information and humidity information;
s250: inputting the plurality of sample environment information sets into the three-dimensional coordinate space to obtain a plurality of sample coordinate points;
s260: according to the sample pollution result set, respectively setting a plurality of different sample pollution results for the plurality of sample coordinate points to obtain a constructed pollution analysis model;
S270: and inputting the environmental information set into the pollution analysis model to obtain the panel pollution analysis result.
In the embodiment of the application, based on the construction of the pollution analysis model, the pollution condition of the photovoltaic panel to be cleaned in the current environment information set is analyzed, and the pollution rate of the photovoltaic panel to be cleaned in the current environment information set is specifically analyzed, so that the pollution rate is used as the basis for making a cleaning scheme.
Specifically, the pollution analysis model needs to be constructed first.
And acquiring dust information, wind speed information and humidity information in the environment where the plurality of photovoltaic panels are located, wherein the plurality of photovoltaic panels are the photovoltaic panels which are the same as the photovoltaic panels to be cleaned in model number, the same in installation condition and are not in the same position as the photovoltaic panels to be cleaned. The installation conditions include installation inclination angles of the photovoltaic panels, and the like.
Dust information, wind speed information and humidity information in environments where other photovoltaic panels are located are acquired through collection and are used as sample data, and a sample dust information set, a sample wind speed information set and a sample humidity information set are obtained and are used as construction data for constructing a pollution analysis model.
And acquiring pollution results in the environment where the plurality of photovoltaic panels are located, wherein the pollution results comprise that the plurality of photovoltaic panels naturally run in the environment where the plurality of photovoltaic panels are located, dust covers the surface of the photovoltaic panels under the condition of no human factor interference, and the pollution time required by the charging operation of the photovoltaic panels is influenced, so that a sample pollution result set is obtained and is used as construction data for constructing a pollution analysis model. Wherein the collection of the plurality of pollution results may be based on the photovoltaic panel not being cleaned and not being collected without rainfall. Illustratively, the contamination result may be 1 day, 1 week, etc.
Further, the embodiment of the application adopts the idea of KNN algorithm to construct a pollution analysis model.
Specifically, the dust information, the wind speed information and the humidity information are taken as an x coordinate axis, a y coordinate axis and a z coordinate axis respectively, a three-dimensional coordinate space is constructed, and the coordinate values of all coordinate axes are specific numerical values of the dust information, the wind speed information and the humidity information.
The parameter information in the sample dust information set, the sample wind speed information set and the sample humidity information set is divided according to the environments of the photovoltaic panels, a plurality of environment information sets in the environments of the photovoltaic panels are obtained through division, the environment information sets are used as a plurality of sample environment information sets, and each sample environment information set comprises sample parameter information of three environment indexes, namely sample dust information, sample wind speed information and sample humidity information.
And inputting the plurality of sample environment information sets into the three-dimensional coordinate space, wherein corresponding coordinate points are formed in the three-dimensional coordinate space according to specific numerical values of sample dust information, sample wind speed information and sample humidity information in each sample environment information set, and thus, a plurality of sample coordinate points are obtained. Each sample coordinate point corresponds to a sample environment information set, namely, corresponds to the environment of a photovoltaic panel.
According to the sample pollution result set, the pollution results in the sample pollution result set are in one-to-one correspondence with the sample environment information sets in the plurality of sample environment information sets. And setting a plurality of different sample pollution results for the plurality of sample coordinate points respectively, wherein in each sample coordinate point, the larger the sample dust information is, the larger the sample wind speed information is, and the smaller the sample humidity information is, the shorter the pollution time in the corresponding sample pollution result is.
And obtaining a constructed pollution analysis model based on the three-dimensional coordinate space, the plurality of sample coordinate points and the set corresponding plurality of sample pollution results.
And inputting the environmental information set of the environment where the photovoltaic panel to be cleaned is positioned into the pollution analysis model to obtain a corresponding panel pollution analysis result.
Specifically, step S270 in the method provided by the embodiment of the present application includes:
S271: inputting the environment information set into the three-dimensional coordinate space to obtain a current coordinate point;
s272: obtaining K sample coordinate points closest to the current coordinate point;
s273: and obtaining K sample pollution results corresponding to the K sample coordinate points, and calculating to obtain the panel pollution analysis result.
Specifically, an environment information set of the environment where the photovoltaic panel to be cleaned is located is input into the three-dimensional coordinate space, and corresponding coordinate points are formed in the three-dimensional coordinate space to serve as current coordinate points according to dust information, wind speed information and humidity information in the environment information set.
K sample coordinate points closest to the current coordinate point are obtained, K is a positive integer and is an odd number, and can be set according to the number of the plurality of sample coordinate points, and K can be 3 or 5 by way of example. Specifically, the nearest K sample coordinate points are obtained by calculating Euclidean distances between the current coordinate point and other coordinate points.
Obtaining K sample pollution results corresponding to the K sample coordinate points, and calculating the average value of pollution time in the K sample pollution results as the panel pollution analysis result under the condition that the K sample pollution results correspond to the sample environment information set and the photovoltaic panel is polluted by dust coverage.
The pollution analysis result of the panel, namely the module, is automatically and intelligently analyzed according to a pollution analysis model, and the pollution time from the cleaning state to the dust covered pollution state of the photovoltaic panel to be cleaned in the environment of the photovoltaic panel to be cleaned is used as the data basis for making a cleaning scheme.
According to the embodiment of the application, through the thought of a KNN algorithm, the environmental information and the pollution result in the environment where other photovoltaic panels are located are acquired and acquired to be used as construction data for constructing a pollution analysis model, the pollution analysis model is constructed unsupervised based on the characteristics of data distribution, the panel pollution analysis result of the photovoltaic panel to be cleaned in the current environment is obtained through analysis and prediction, the pollution speed of the photovoltaic panel is not required to be estimated manually, the accuracy and the intelligence are high, the efficiency is high, and the cleaning effect of the photovoltaic panel is improved.
S300: analyzing and obtaining a preliminary cleaning scheme according to the panel pollution analysis result;
the step S300 in the method provided by the embodiment of the present application includes:
s310: acquiring different cleaning frequency information as different preliminary cleaning schemes of a plurality of samples;
s320: constructing a mapping relation between a plurality of sample pollution results in the sample pollution result set and different sample preliminary cleaning schemes to obtain a first mapping relation;
s330: and obtaining the preliminary cleaning scheme according to the panel pollution analysis result and the first mapping relation.
Specifically, according to different cleaning frequency information for cleaning the photovoltaic panel, a plurality of sample preliminary cleaning schemes for automatically cleaning the photovoltaic panel are set. For example, the cleaning frequency information may be 1 day 1 time, 1 week 1 time, etc. frequency information, and the mode of automatic spray cleaning and the corresponding multiple cleaning frequency information are included in the multiple sample preliminary cleaning schemes obtained by corresponding setting.
And constructing a mapping relation between the plurality of sample pollution results and the plurality of sample preliminary cleaning schemes according to the plurality of sample pollution results in the sample pollution result set, wherein the cleaning frequency information in the sample preliminary cleaning scheme is inversely related to the pollution time in the sample pollution results, namely the shorter the pollution time is, the larger the cleaning frequency information is. The corresponding suitable cleaning frequency information can be set according to the pollution time in the sample pollution result based on the experience of cleaning the photovoltaic panel, so as to obtain a corresponding mapped sample preliminary cleaning scheme.
It will be appreciated that within the mapping relationship, a plurality of sample preliminary cleaning solutions may correspond to one sample contamination result and one sample preliminary cleaning solution may correspond to a plurality of sample contamination results, such that a first mapping relationship is constructed. In the first mapping relation, the sample pollution result corresponds to the sample preliminary cleaning scheme, and when the photovoltaic panel with the corresponding sample pollution result is cleaned by adopting any sample preliminary cleaning scheme, the photovoltaic panel can be ensured to be kept in a clean state, and the condition that dust completely covers the photovoltaic panel is avoided.
Based on the constructed first mapping relation, according to the panel pollution analysis result of the current photovoltaic panel to be cleaned, obtaining a sample pollution result which is closest to the panel pollution analysis result, namely, a sample pollution result with the closest pollution time, and further obtaining a sample preliminary cleaning scheme which is mapped in the first mapping relation by the sample pollution result and is used as a preliminary cleaning scheme which is preliminarily formulated according to the panel pollution analysis result of the current photovoltaic panel to be cleaned.
According to the embodiment of the application, the plurality of sample preliminary cleaning schemes are obtained by setting the plurality of cleaning frequency information, and the mapping relation between the plurality of sample preliminary cleaning schemes and the plurality of sample pollution results is constructed, so that the corresponding preliminary cleaning schemes can be obtained according to the panel pollution analysis results obtained by analysis, and the method is accurate.
S400: building a photovoltaic charging influence analysis model;
After the preliminary cleaning scheme is obtained, timely cleaning of the photovoltaic panel to be cleaned can be preliminarily guaranteed, dust can not be covered, but before the dust does not completely cover the polluted photovoltaic panel, a small amount or part of dust can influence the power generation efficiency of the photovoltaic panel, so that the charging time and the charging intensity are influenced, and the service lives of the photovoltaic panel and the storage battery are reduced. Therefore, based on the influence of dust in the environment where the photovoltaic panel to be cleaned is located on the charging of the photovoltaic panel, the preliminary cleaning scheme needs to be adjusted, the cleaning frequency is improved, and the influence of dust pollution on the charging is reduced.
According to the embodiment of the application, the influence of the environmental information set in the environment where the photovoltaic panel to be cleaned is positioned on the charging of the photovoltaic panel is analyzed by constructing the photovoltaic charging influence analysis model.
As shown in fig. 3, step S400 in the method provided in the embodiment of the present application includes:
S410: acquiring charging influence parameters of a plurality of photovoltaic panels in an environment to obtain a plurality of sample charging influence parameters;
S420: dividing the plurality of sample environment information sets and the plurality of sample charging influence parameters and identifying data to obtain a training data set, a verification data set and a test data set;
S430: building the photovoltaic charging influence analysis model based on a BP neural network model;
S440: performing supervision training on the photovoltaic charging influence analysis model by adopting the training data set until the training is converged or the accuracy reaches a preset requirement;
S450: and verifying and testing the photovoltaic charging influence analysis model by adopting the verification data set and the test data set, and obtaining the photovoltaic charging influence analysis model if the accuracy of the photovoltaic charging influence analysis model meets the preset requirement.
Specifically, based on the plurality of photovoltaic panels with the same model as the photovoltaic panel to be cleaned in the step S200 in the foregoing, the charging influence parameters of the plurality of photovoltaic panels in the environment where the plurality of photovoltaic panels are located are acquired and obtained, and a plurality of sample charging influence parameters are obtained. In the collection process, after a plurality of photovoltaic panels run for the same time in the environment where the photovoltaic panels are located, the ratio between the generated power of the photovoltaic panels and the generated power of the photovoltaic panels in a clean state can be collected and obtained and used as a plurality of sample charging influence parameters, and the smaller the ratio is, the larger the influence of dust pollution in the environment on the charging of the photovoltaic panels is. Wherein the ratio is at a minimum of about 0.65, i.e. the dust pollution effect reduces the charging power of the photovoltaic panel by 35%.
Dividing the plurality of sample environment information sets and the plurality of sample charging influence parameters and identifying data to obtain a training data set, a verification data set and a test data set. Illustratively, the partitioning is done in a 5:3:2 ratio.
Based on a BP neural network model in machine learning, the photovoltaic charging influence analysis model is constructed, input data of the photovoltaic charging influence analysis model is an environment information set, and output data is a charging influence parameter. Based on the input data and the output data, a network structure of a photovoltaic charging influence analysis model is designed, a plurality of simple units similar to human brain neurons are included in the photovoltaic charging influence analysis model which is initially constructed, weights and thresholds connected among the plurality of simple units can be trained through supervised learning, and the trained photovoltaic charging influence analysis model can carry out complex nonlinear logic analysis operation according to the input data and output more accurate output data.
And performing supervision training on the photovoltaic charging influence analysis model by adopting a training data set until the photovoltaic charging influence analysis model is trained to be converged or the accuracy of the photovoltaic charging influence analysis model reaches a preset requirement, verifying and testing the photovoltaic charging influence analysis model by adopting a verification data set and a test data set, and obtaining the built photovoltaic charging influence analysis model if the accuracy of the photovoltaic charging influence analysis model meets the preset requirement and fitting and other conditions do not occur. If the preset requirement is not met, the parameters of the photovoltaic charging influence analysis model are required to be optimized, or the photovoltaic charging influence analysis model is reconstructed until the accuracy meets the preset requirement. Wherein, the preset requirement can be 90% accuracy.
According to the embodiment of the application, the sample charging influence parameters of dust pollution on charging power under different environmental information of a plurality of photovoltaic panels are acquired and acquired, the photovoltaic charging influence analysis model is constructed and trained based on machine learning, the influence parameters of charging efficiency of the photovoltaic panels under different environmental information can be acquired according to different environmental information set analysis, the influence parameters are used as a data basis for adjusting a preliminary cleaning scheme, the cleaning frequency is further improved on the premise of cleaning the photovoltaic panels, and the influence of dust pollution on the charging power of the photovoltaic panels is reduced.
S500: inputting the environmental information set into the photovoltaic charging influence analysis model to obtain charging influence parameters of the environmental information set influencing the charging of the photovoltaic panel to be cleaned;
Based on the constructed photovoltaic charging influence analysis model, inputting the environment information set into the environment information set to obtain an output result, and obtaining the charging influence parameters of the current environment information set influencing the charging of the photovoltaic panel to be cleaned according to the identification information in the output result.
S600: according to the charging influence parameters, analyzing and obtaining cleaning scheme adjustment parameters;
further, according to the charging influence parameter, a corresponding cleaning scheme adjustment parameter for adjusting the preliminary cleaning scheme is obtained.
The step S600 in the method provided by the embodiment of the present application includes:
s610: setting a plurality of sample cleaning scheme adjustment parameters for improving the cleaning frequency according to the magnitude of the plurality of sample charging influence parameters;
s620: constructing a mapping relation between the plurality of sample charging influence parameters and the plurality of sample cleaning scheme adjustment parameters to obtain a second mapping relation;
S630: and obtaining the cleaning scheme adjustment parameters according to the charging influence parameters and the second mapping relation.
Specifically, according to the magnitude of the sample charging influencing parameters in the foregoing, the sample cleaning solution adjusting parameters with different lifting frequency of lifting range are set, and specifically, the sample cleaning solution adjusting parameters can be set by an expert in the field of cleaning of photovoltaic panels. The sample charging influence parameters comprise the ratio of the charging power of the photovoltaic panel under the pollution condition to the charging power under the cleaning condition, and the smaller the ratio is, the larger the influence of the environmental information on the charging efficiency of the photovoltaic panel is, the larger the cleaning frequency amplitude is, and the sample cleaning scheme adjustment parameters are set. I.e. the sample charging influencing parameter is inversely related to the magnitude of the sample cleaning protocol adjustment parameter that increases the cleaning frequency.
And constructing a mapping relation between the plurality of sample charging influence parameters and the plurality of sample cleaning scheme adjustment parameters, and obtaining a second mapping relation. In the second mapping relationship, the smaller sample charging influence parameters correspond to the larger sample cleaning scheme adjustment parameters, and one sample charging influence parameter may correspond to a plurality of sample cleaning scheme adjustment parameters, and a plurality of sample charging influence parameters may correspond to one sample cleaning scheme adjustment parameter.
According to the charging influence parameters of the current environmental information set on the photovoltaic panel to be cleaned and the second mapping relation, obtaining sample cleaning scheme adjustment parameters corresponding to the sample environmental information set closest to the environmental information set, and adjusting the preliminary cleaning scheme by taking the sample cleaning scheme adjustment parameters as the current cleaning scheme adjustment parameters, so that the cleaning frequency in the preliminary cleaning scheme is improved, and the lifting amplitude corresponds to the charging influence parameters.
According to the embodiment of the application, the second mapping relation with the plurality of sample charging influence parameters is constructed by obtaining the plurality of sample cleaning scheme adjustment parameters which can improve the cleaning frequency in the sample cleaning scheme in different degrees, so that the corresponding cleaning scheme adjustment parameters which can improve the cleaning frequency in the sample cleaning scheme can be obtained more accurately and efficiently according to the current charging influence parameters, and the influence of dust pollution in the environment on the charging efficiency of the photovoltaic panel is further reduced.
S700: and adjusting the preliminary cleaning scheme by adopting the cleaning scheme adjusting parameters to obtain a final cleaning scheme, and cleaning the photovoltaic panel to be cleaned.
Specifically, the cleaning scheme adjustment parameter is adopted to adjust the primary cleaning scheme, the cleaning frequency in the primary cleaning scheme is improved according to the lifting amplitude in the cleaning scheme adjustment parameter, the adjusted final cleaning scheme is obtained, the photovoltaic panel to be cleaned is cleaned, the cleaning frequency is properly improved on the premise that the photovoltaic panel is guaranteed not to be covered by dust, and the degree of influence of environmental dust on the charging efficiency of the photovoltaic panel is reduced.
In summary, the embodiment of the application has at least the following technical effects:
According to the application, the environmental information in the environment where the photovoltaic panel is located is acquired and acquired, the pollution influence of the photovoltaic panel is primarily analyzed, the primary cleaning scheme is constructed, then the influence of the environmental information on the charging of the photovoltaic panel is analyzed, and the primary cleaning scheme is adjusted.
Example two
Based on the same inventive concept as a method for automatically cleaning a photovoltaic panel in the foregoing embodiments, as shown in fig. 4, the present application provides an automatic cleaning system for a photovoltaic panel, wherein the system comprises:
the environment information acquisition module 11 is used for acquiring parameter information of a plurality of environment indexes of the environment where the photovoltaic panel to be cleaned is located, and acquiring an environment information set;
the panel pollution analysis module 12 is used for inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result;
a preliminary cleaning solution acquisition module 13, configured to obtain a preliminary cleaning solution according to the analysis result of the panel pollution;
A charge influence analysis model construction module 14 for constructing a photovoltaic charge influence analysis model;
the charging influence parameter obtaining module 15 is configured to input the environmental information set into the photovoltaic charging influence analysis model, and obtain a charging influence parameter that the environmental information set influences the photovoltaic panel to be cleaned to be charged;
A cleaning solution adjustment parameter obtaining module 16, configured to obtain cleaning solution adjustment parameters according to the charging influence parameters;
and a final cleaning solution obtaining module 17, configured to adjust the preliminary cleaning solution by using the cleaning solution adjustment parameter to obtain a final cleaning solution, and clean the photovoltaic panel to be cleaned.
Further, the environmental information collection module 11 is configured to implement the following functions:
collecting and acquiring dust information of the environment where the photovoltaic panel to be cleaned is located;
acquiring wind speed information of the environment where the photovoltaic panel to be cleaned is located;
acquiring humidity information of the environment where the photovoltaic panel to be cleaned is located;
and taking the dust information, the wind speed information and the humidity information as the environment information set.
Further, the panel contamination analysis module 12 is also configured to perform the following functions:
Acquiring dust information, wind speed information and humidity information in environments where a plurality of photovoltaic panels are located, and acquiring a sample dust information set, a sample wind speed information set and a sample humidity information set;
collecting and acquiring pollution results in environments where a plurality of photovoltaic panels are positioned, and acquiring a sample pollution result set;
dividing parameter information in the sample dust information set, the sample wind speed information set and the sample humidity information set to obtain a plurality of sample environment information sets;
Constructing a three-dimensional coordinate space based on dust information, wind speed information and humidity information;
inputting the plurality of sample environment information sets into the three-dimensional coordinate space to obtain a plurality of sample coordinate points;
according to the sample pollution result set, respectively setting a plurality of different sample pollution results for the plurality of sample coordinate points to obtain a constructed pollution analysis model;
And inputting the environmental information set into the pollution analysis model to obtain the panel pollution analysis result.
Inputting the environmental information set into the pollution analysis model to obtain the panel pollution analysis result, wherein the method comprises the following steps:
inputting the environment information set into the three-dimensional coordinate space to obtain a current coordinate point;
Obtaining K sample coordinate points closest to the current coordinate point;
and obtaining K sample pollution results corresponding to the K sample coordinate points, and calculating to obtain the panel pollution analysis result.
Further, the preliminary cleaning solution acquisition module 13 is also configured to implement the following functions:
acquiring different cleaning frequency information as different preliminary cleaning schemes of a plurality of samples;
constructing a mapping relation between a plurality of sample pollution results in the sample pollution result set and different sample preliminary cleaning schemes to obtain a first mapping relation;
and obtaining the preliminary cleaning scheme according to the panel pollution analysis result and the first mapping relation.
Further, the charging influence analysis model construction module 14 is further configured to implement the following functions:
Acquiring charging influence parameters of a plurality of photovoltaic panels in an environment to obtain a plurality of sample charging influence parameters;
Dividing the plurality of sample environment information sets and the plurality of sample charging influence parameters and identifying data to obtain a training data set, a verification data set and a test data set;
building the photovoltaic charging influence analysis model based on a BP neural network model;
Performing supervision training on the photovoltaic charging influence analysis model by adopting the training data set until the training is converged or the accuracy reaches a preset requirement;
and verifying and testing the photovoltaic charging influence analysis model by adopting the verification data set and the test data set, and obtaining the photovoltaic charging influence analysis model if the accuracy of the photovoltaic charging influence analysis model meets the preset requirement.
Further, the cleaning solution adjustment parameter obtaining module 16 is further configured to implement the following functions:
setting a plurality of sample cleaning scheme adjustment parameters for improving the cleaning frequency according to the magnitude of the plurality of sample charging influence parameters;
Constructing a mapping relation between the plurality of sample charging influence parameters and the plurality of sample cleaning scheme adjustment parameters to obtain a second mapping relation;
and obtaining the cleaning scheme adjustment parameters according to the charging influence parameters and the second mapping relation.
The specification and figures are merely exemplary illustrations of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.
Claims (8)
1. A method for automatically cleaning a photovoltaic panel, the method comprising:
collecting parameter information of a plurality of environmental indexes of the environment where the photovoltaic panel to be cleaned is located, and obtaining an environmental information set;
inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result;
analyzing and obtaining a preliminary cleaning scheme according to the panel pollution analysis result;
Building a photovoltaic charging influence analysis model;
inputting the environmental information set into the photovoltaic charging influence analysis model to obtain charging influence parameters of the environmental information set influencing the charging of the photovoltaic panel to be cleaned;
according to the charging influence parameters, analyzing and obtaining cleaning scheme adjustment parameters;
And adjusting the preliminary cleaning scheme by adopting the cleaning scheme adjusting parameters to obtain a final cleaning scheme, and cleaning the photovoltaic panel to be cleaned.
2. The method according to claim 1, wherein the collecting parameter information of a plurality of environmental indicators of an environment in which the photovoltaic panel to be cleaned is located comprises:
collecting and acquiring dust information of the environment where the photovoltaic panel to be cleaned is located;
acquiring wind speed information of the environment where the photovoltaic panel to be cleaned is located;
acquiring humidity information of the environment where the photovoltaic panel to be cleaned is located;
and taking the dust information, the wind speed information and the humidity information as the environment information set.
3. The method of claim 2, wherein inputting the set of environmental information into the pre-constructed pollution analysis model to obtain the panel pollution analysis results comprises:
Acquiring dust information, wind speed information and humidity information in environments where a plurality of photovoltaic panels are located, and acquiring a sample dust information set, a sample wind speed information set and a sample humidity information set;
collecting and acquiring pollution results in environments where a plurality of photovoltaic panels are positioned, and acquiring a sample pollution result set;
dividing parameter information in the sample dust information set, the sample wind speed information set and the sample humidity information set to obtain a plurality of sample environment information sets;
Constructing a three-dimensional coordinate space based on dust information, wind speed information and humidity information;
inputting the plurality of sample environment information sets into the three-dimensional coordinate space to obtain a plurality of sample coordinate points;
according to the sample pollution result set, respectively setting a plurality of different sample pollution results for the plurality of sample coordinate points to obtain a constructed pollution analysis model;
And inputting the environmental information set into the pollution analysis model to obtain the panel pollution analysis result.
4. A method according to claim 3, wherein inputting the set of environmental information into the pollution analysis model to obtain the panel pollution analysis results comprises:
inputting the environment information set into the three-dimensional coordinate space to obtain a current coordinate point;
Obtaining K sample coordinate points closest to the current coordinate point;
and obtaining K sample pollution results corresponding to the K sample coordinate points, and calculating to obtain the panel pollution analysis result.
5. A method according to claim 3, wherein a preliminary cleaning regimen is obtained from the analysis of the panel contamination;
acquiring different cleaning frequency information as different preliminary cleaning schemes of a plurality of samples;
constructing a mapping relation between a plurality of sample pollution results in the sample pollution result set and different sample preliminary cleaning schemes to obtain a first mapping relation;
and obtaining the preliminary cleaning scheme according to the panel pollution analysis result and the first mapping relation.
6. The method of claim 2, wherein constructing a photovoltaic charge impact analysis model comprises:
Acquiring charging influence parameters of a plurality of photovoltaic panels in an environment to obtain a plurality of sample charging influence parameters;
Dividing the plurality of sample environment information sets and the plurality of sample charging influence parameters and identifying data to obtain a training data set, a verification data set and a test data set;
building the photovoltaic charging influence analysis model based on a BP neural network model;
Performing supervision training on the photovoltaic charging influence analysis model by adopting the training data set until the training is converged or the accuracy reaches a preset requirement;
and verifying and testing the photovoltaic charging influence analysis model by adopting the verification data set and the test data set, and obtaining the photovoltaic charging influence analysis model if the accuracy of the photovoltaic charging influence analysis model meets the preset requirement.
7. The method of claim 6, wherein analyzing the obtained cleaning solution adjustment parameters based on the charging influence parameters comprises:
setting a plurality of sample cleaning scheme adjustment parameters for improving the cleaning frequency according to the magnitude of the plurality of sample charging influence parameters;
Constructing a mapping relation between the plurality of sample charging influence parameters and the plurality of sample cleaning scheme adjustment parameters to obtain a second mapping relation;
and obtaining the cleaning scheme adjustment parameters according to the charging influence parameters and the second mapping relation.
8. A photovoltaic panel self-cleaning system, the system comprising:
the environment information acquisition module is used for acquiring parameter information of a plurality of environment indexes of the environment where the photovoltaic panel to be cleaned is positioned, and acquiring an environment information set;
The panel pollution analysis module is used for inputting the environmental information set into a pre-constructed pollution analysis model to obtain a panel pollution analysis result;
The preliminary cleaning scheme acquisition module is used for analyzing and acquiring a preliminary cleaning scheme according to the panel pollution analysis result;
the charging influence analysis model construction module is used for constructing a photovoltaic charging influence analysis model;
The charging influence parameter acquisition module is used for inputting the environment information set into the photovoltaic charging influence analysis model to acquire charging influence parameters of the environment information set on charging of the photovoltaic panel to be cleaned;
the cleaning scheme adjustment parameter acquisition module is used for analyzing and acquiring cleaning scheme adjustment parameters according to the charging influence parameters;
And the final cleaning scheme acquisition module is used for adjusting the preliminary cleaning scheme by adopting the cleaning scheme adjustment parameters to obtain a final cleaning scheme and cleaning the photovoltaic panel to be cleaned.
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