Photovoltaic panel cleaning period optimization method

Abstract

The invention provides a photovoltaic panel cleaning period optimization method, and relates to the technical field of photovoltaic power generation, and the method comprises the steps: obtaining the geographic position data of a photovoltaic panel and the parameter data of the photovoltaic panel, and determining the current pollution data of the photovoltaic panel; setting a one-time cleaning period of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, establishing a photovoltaic panel pollution prediction model, and predicting the pollution level of the photovoltaic panel in the next cleaning period according to the current pollution data of the photovoltaic panel and the one-time cleaning period; performing period optimization on the primary cleaning period according to the pollution level of the photovoltaic panel, obtaining a secondary cleaning period, and performing cleaning treatment on the photovoltaic panel according to the secondary cleaning period; according to a preset photovoltaic panel cleaning evaluation index and a secondary cleaning period, carrying out regular evaluation on the cleaning treatment result, according to a regular evaluation result, carrying out evaluation optimization on the secondary cleaning period, and determining an optimal cleaning period of the photovoltaic panel; the effective utilization of cleaning resources is ensured; and the photovoltaic power generation efficiency of the photovoltaic panel is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and particularly relates to a method for optimizing the cleaning cycle of photovoltaic panels. Background Art

[0002] During the process of photovoltaic power generation, pollutants will inevitably adhere to photovoltaic panels, thereby affecting the photovoltaic power generation efficiency. The pollution degrees of pollutants at different deployment positions are different, and the cleaning difficulties of different pollutants are also different. Currently, the cleaning of photovoltaic panels mainly sets a cleaning cycle and then conducts cleaning treatment on the photovoltaic panels. However, the pollution degree of photovoltaic panels and the cleaning difficulty of pollutants are affected by geographical location and seasonal changes. A fixed cleaning cycle is likely to lead to waste of cleaning resources and affect photovoltaic power generation.

[0003] Therefore, the present invention provides a method for optimizing the cleaning cycle of photovoltaic panels. Summary of the Invention

[0004] The present invention provides a method for optimizing the cleaning cycle of photovoltaic panels. By obtaining the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, the current pollution data of the photovoltaic panel is determined; according to the historical pollution data of the photovoltaic panel, a primary cleaning cycle of the photovoltaic panel is set, a photovoltaic panel pollution prediction model is established, and according to the current pollution data and the primary cleaning cycle of the photovoltaic panel, the pollution level of the photovoltaic panel in the next cleaning cycle is predicted; according to the pollution level of the photovoltaic panel, the primary cleaning cycle is optimized, a secondary cleaning cycle is obtained, and the photovoltaic panel is cleaned according to the secondary cleaning cycle; according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, the cleaning treatment result is regularly evaluated, and according to the regular evaluation result, the secondary cleaning cycle is evaluated and optimized to determine the optimal cleaning cycle of the photovoltaic panel; ensuring the effective utilization of cleaning resources and optimizing the photovoltaic power generation efficiency of the photovoltaic panel.

[0005] The present invention provides a method for optimizing the cleaning cycle of photovoltaic panels, including: Step 1: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determine the current pollution data of the photovoltaic panel; Step 2: Set a primary cleaning cycle of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, establish a photovoltaic panel pollution prediction model, and predict the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel; Step 3: Optimize the primary cleaning cycle according to the pollution level of the photovoltaic panel, obtain a secondary cleaning cycle, and clean the photovoltaic panel according to the secondary cleaning cycle; Step 4: Regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, evaluate and optimize the secondary cleaning cycle according to the regular evaluation result, and determine the optimal cleaning cycle of the photovoltaic panel.

[0006] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention obtains the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determines the current pollution data of the photovoltaic panel, including: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel. Among them, the photovoltaic panel parameter data includes: photovoltaic panel type parameter data, photovoltaic panel power generation parameter data, photovoltaic panel installation direction parameter data, and photovoltaic panel installation inclination parameter data; According to the geographical location data of the photovoltaic panel and pre-deployed sensors, obtain the types of pollutants on the photovoltaic panel; Obtain the preset photovoltaic panel power generation parameter data, and determine the pollution degree of the photovoltaic panel according to the data difference between the photovoltaic panel power generation parameter data and the preset photovoltaic panel power generation parameter data; Determine the current pollution data of the photovoltaic panel according to the type of pollutant and the pollution degree.

[0007] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention sets a primary cleaning cycle for the photovoltaic panel according to the historical pollution data of the photovoltaic panel, including: Obtain the historical pollution data of the photovoltaic panel. If the current pollution data of the photovoltaic panel is consistent with the historical pollution data, obtain the historical cleaning cycle according to the historical pollution data of the photovoltaic panel and set it as the primary cleaning cycle of the photovoltaic panel; If the current pollution data of the photovoltaic panel is inconsistent with the historical pollution data, screen the historical pollution data with a consistent data part with the current pollution data, obtain the corresponding historical cleaning cycle, and set it as the primary cleaning cycle of the photovoltaic panel.

[0008] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention establishes a photovoltaic panel pollution prediction model, and predicts the photovoltaic panel pollution level in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel, including: Establish a photovoltaic panel pollution prediction model according to the historical pollution data of the photovoltaic panel and a preset prediction model. Among them, the preset prediction model includes: a neural network prediction model, a linear regression prediction model, and a random regression prediction model; Input the current pollution data of the photovoltaic panel into the photovoltaic panel pollution prediction model, and predict the photovoltaic panel pollution data in the next cleaning cycle according to the primary cleaning cycle, denoted as the predicted photovoltaic panel pollution data; Preset the photovoltaic panel pollution level, perform quantization processing on the historical pollution data of the photovoltaic panel, and determine the quantization value range of the historical pollution data corresponding to each preset photovoltaic panel pollution level; Perform quantization processing on the predicted photovoltaic panel pollution data, and determine the photovoltaic panel pollution level in the next cleaning cycle according to the quantization value range. Among them, the photovoltaic panel pollution level includes: a simple pollution level, a general pollution level, and a severe pollution level.

[0009] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention further includes: Set the prediction error at a unit time, adjust the prediction error according to the time difference between the predicted time of the next cleaning cycle and the current time, and determine the quantization value of the prediction error range of the predicted photovoltaic panel pollution data at each predicted time; If the quantization values of the prediction error ranges of the predicted photovoltaic panel pollution data are all within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, determine the photovoltaic panel pollution level at the predicted time according to the same preset photovoltaic panel pollution level; If the quantization values of the prediction error ranges of the predicted photovoltaic panel pollution data are not within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, then determine the photovoltaic panel pollution level at the predicted time according to the preset photovoltaic panel pollution level with a higher level.

[0010] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention optimizes the primary cleaning cycle according to the photovoltaic panel pollution level, obtains the secondary cleaning cycle, and performs cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle, including: Optimize the primary cleaning cycle according to the photovoltaic panel pollution level. If there is a severe pollution level in the next cleaning cycle, optimize the primary cleaning cycle according to the severe pollution level; Obtain the set of predicted times corresponding to the severe pollution level in the next cleaning cycle, determine the predicted time period between the minimum predicted time corresponding to the severe pollution level and the current time according to the order of the predicted times, record it as the secondary cleaning cycle, and perform cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle; If there is no severe pollution level in the next cleaning cycle, continue to predict the photovoltaic panel pollution level in the subsequent cleaning cycles according to the photovoltaic panel pollution prediction model until a severe pollution level is predicted; Determine the secondary cleaning cycle according to the predicted time period between the predicted time corresponding to the predicted severe pollution level and the current time, and perform cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle.

[0011] A method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention regularly evaluates the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, and evaluates and optimizes the secondary cleaning cycle according to the regular evaluation result to determine the optimal cleaning cycle of the photovoltaic panel, including: Preset the photovoltaic panel cleaning evaluation index, and regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle. Among them, the photovoltaic panel cleaning evaluation index includes: the pollution level evaluation index before and after photovoltaic panel cleaning, the power generation parameter data evaluation index before and after photovoltaic panel cleaning, and the photovoltaic panel cleaning time evaluation index; Quantify the results of the regular evaluation, preset the cleaning evaluation threshold. When the quantified value of the regular evaluation result is not lower than the preset cleaning evaluation threshold, it is determined that the secondary cleaning cycle of the photovoltaic panel is optimal, and the secondary cleaning cycle is recorded as the optimal cleaning cycle of the photovoltaic panel; When the quantified value of the regular evaluation result is lower than the preset cleaning evaluation threshold, it is determined that the secondary cleaning cycle of the photovoltaic panel has not reached the optimum, and evaluation and optimization are required. Re-obtain the secondary cleaning cycle and then determine the optimal cleaning cycle of the photovoltaic panel.

[0012] According to a method for optimizing the cleaning cycle of a photovoltaic panel provided by the present invention, it further includes: Obtain the pollution data within the optimal cleaning cycle and input it into the photovoltaic panel pollution prediction model to optimize the photovoltaic panel pollution prediction model; Set the cleaning strategy of the photovoltaic panel according to the optimal cleaning cycle and monitor the cleaning process of the photovoltaic panel and the pollution level of the photovoltaic panel in real time; If it is monitored that the pollution level of the photovoltaic panel is a severe pollution level but the cleaning process has not been executed, it is determined that the cleaning is abnormal, and the cleaning process is immediately executed and the optimal cleaning cycle of the photovoltaic panel is optimized.

[0013] Compared with the prior art, the beneficial effects of the present application are as follows: By obtaining the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, determine the current pollution data of the photovoltaic panel; set the primary cleaning cycle of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, establish a photovoltaic panel pollution prediction model, and predict the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel; optimize the cycle of the primary cleaning cycle according to the pollution level of the photovoltaic panel, obtain the secondary cleaning cycle and clean the photovoltaic panel according to the secondary cleaning cycle; regularly evaluate the cleaning result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, and evaluate and optimize the secondary cleaning cycle according to the regular evaluation result to determine the optimal cleaning cycle of the photovoltaic panel; ensure the effective utilization of cleaning resources and optimize the power generation efficiency of the photovoltaic panel.

[0014] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings.

[0015] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and form a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the accompanying drawings: Figure 1 It is a schematic flowchart of a method for optimizing the cleaning cycle of a photovoltaic panel provided by an embodiment of the present invention. Detailed implementation manners

[0017] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0018] Embodiment 1: An embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, as Figure 1 shown, including: Step 1: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determine the current pollution data of the photovoltaic panel; Step 2: Set a primary cleaning cycle for the photovoltaic panel according to the historical pollution data of the photovoltaic panel, establish a photovoltaic panel pollution prediction model, and predict the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel; Step 3: Optimize the primary cleaning cycle according to the photovoltaic panel pollution level, obtain the secondary cleaning cycle, and clean the photovoltaic panel according to the secondary cleaning cycle; Step 4: Regularly evaluate the cleaning result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, evaluate and optimize the secondary cleaning cycle according to the regular evaluation result, and determine the optimal cleaning cycle of the photovoltaic panel.

[0019] In this embodiment, the photovoltaic panel parameter data refers to the parameter data of the photovoltaic panel itself, the parameter data during the deployment of the photovoltaic panel, and the parameter data during the photovoltaic power generation of the photovoltaic panel.

[0020] In this embodiment, the current pollution data refers to the pollutant type and pollution degree of the pollutants determined in the current period, that is, the pollution data in the current period; the historical pollution data refers to the pollution data of the photovoltaic panel in the historical period.

[0021] In this embodiment, the primary cleaning cycle refers to the cleaning cycle set for the preliminary cleaning of the photovoltaic panel according to the historical cleaning cycle.

[0022] In this embodiment, the photovoltaic panel pollution prediction model refers to a model established according to the historical pollution data of the photovoltaic panel and a preset prediction model for predicting the pollution data of the photovoltaic panel.

[0023] In this embodiment, the photovoltaic panel pollution level refers to the level used to quantitatively represent the pollution degree of the pollutants.

[0024] In this embodiment, the secondary cleaning cycle refers to the cleaning cycle determined by optimizing the primary cleaning cycle according to the pollution level of the photovoltaic panel.

[0025] In this embodiment, the preset photovoltaic panel cleaning evaluation index refers to the preset index used to evaluate the cleaning result of the photovoltaic panel.

[0026] In this embodiment, the regular evaluation refers to the evaluation of the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle.

[0027] In this embodiment, the optimal cleaning cycle refers to the cleaning cycle corresponding to the qualified cleaning treatment result of the photovoltaic panel within this cleaning cycle.

[0028] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, the current pollution data of the photovoltaic panel is determined; According to the historical pollution data of the photovoltaic panel, the primary cleaning cycle of the photovoltaic panel is set, a photovoltaic panel pollution prediction model is established, and the pollution level of the photovoltaic panel in the next cleaning cycle is predicted according to the current pollution data and the primary cleaning cycle of the photovoltaic panel; The primary cleaning cycle is optimized according to the pollution level of the photovoltaic panel, the secondary cleaning cycle is obtained and the photovoltaic panel is cleaned according to the secondary cleaning cycle; The cleaning treatment result is regularly evaluated according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, and the secondary cleaning cycle is evaluated and optimized according to the regular evaluation result to determine the optimal cleaning cycle of the photovoltaic panel; It ensures the effective utilization of cleaning resources and optimizes the power generation efficiency of the photovoltaic panel.

[0029] Embodiment 2: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, which obtains the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determines the current pollution data of the photovoltaic panel, including: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, where the photovoltaic panel parameter data includes: photovoltaic panel type parameter data, photovoltaic panel power generation parameter data, photovoltaic panel installation direction parameter data, and photovoltaic panel installation inclination parameter data; According to the geographical location data of the photovoltaic panel and the pre-deployed sensors, obtain the type of pollutants on the photovoltaic panel; Obtain the preset photovoltaic panel power generation parameter data, and determine the pollution degree of the photovoltaic panel according to the data difference between the photovoltaic panel power generation parameter data and the preset photovoltaic panel power generation parameter data; Determine the current pollution data of the photovoltaic panel according to the type of pollutants and the pollution degree.

[0030] In this embodiment, the geographical location data refers to the location data of the photovoltaic panels deployed, and the pollutants and pollution degrees of the photovoltaic panels with different geographical location data are different.

[0031] In this embodiment, the photovoltaic panel parameter data refers to the parameter data of the photovoltaic panel itself, the parameter data during the deployment of the photovoltaic panel, and the parameter data during the photovoltaic power generation of the photovoltaic panel.

[0032] In this embodiment, the pre-deployed sensors are used to monitor the photovoltaic panels in real time. For example, the pre-deployed image sensors are used to obtain the image data of the pollutants attached to the surface of the photovoltaic panels, and then determine the types of pollutants.

[0033] In this embodiment, the photovoltaic panel power generation parameter data is the current photovoltaic power generation of the photovoltaic panel.

[0034] In this embodiment, the preset photovoltaic panel power generation parameter data is the theoretical photovoltaic power generation when the photovoltaic panel is not polluted.

[0035] In this embodiment, the pollution degree refers to the pollution degree of the pollutants, which is determined according to the data difference between the photovoltaic panel power generation parameter data and the preset photovoltaic panel power generation parameter data. The greater the data difference, the more serious the pollution degree.

[0036] In this embodiment, the current pollution data refers to the pollutant type and pollution degree of the pollutants determined in the current period.

[0037] The working principle and beneficial effects of the above technical solution are: By obtaining the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, the current pollution data of the photovoltaic panel is determined, laying a pollution data foundation for the subsequent optimization of the cleaning cycle of the photovoltaic panel.

[0038] Embodiment 3: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel. According to the historical pollution data of the photovoltaic panel, a primary cleaning cycle of the photovoltaic panel is set, including: Obtain the historical pollution data of the photovoltaic panel. If the current pollution data of the photovoltaic panel is consistent with the historical pollution data, obtain the historical cleaning cycle according to the historical pollution data of the photovoltaic panel and set it as the primary cleaning cycle of the photovoltaic panel; If the current pollution data of the photovoltaic panel is inconsistent with the historical pollution data, screen the historical pollution data with a consistent data part with the current pollution data, obtain the corresponding historical cleaning cycle, and set it as the primary cleaning cycle of the photovoltaic panel.

[0039] In this embodiment, the historical pollution data refers to the pollution data of the photovoltaic panel in the historical period.

[0040] In this embodiment, if the current pollution data of the photovoltaic panel is consistent with the historical pollution data, that is, the pollutant types are the same and the pollution degrees are the same.

[0041] In this embodiment, the historical cleaning cycle refers to the cycle of cleaning the photovoltaic panel in a historical period.

[0042] In this embodiment, the primary cleaning cycle refers to the cleaning cycle set according to the historical cleaning cycle for the preliminary cleaning of the photovoltaic panel.

[0043] In this embodiment, if the current pollution data of the photovoltaic panel is inconsistent with the historical pollution data, for example, the types of pollutants are different.

[0044] In this embodiment, historical pollution data with a consistent data part with the current pollution data is screened. For example, historical pollution data corresponding to the same type of pollutant is screened. The same type of pollutant is the consistent data part. The primary cleaning cycle of the photovoltaic panel is determined through the historical pollution data of the consistent data part, ensuring the cleaning effect to the greatest extent.

[0045] The working principle and beneficial effects of the above technical solution are: By setting the primary cleaning cycle of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, it is beneficial to initially achieve effective cleaning of the photovoltaic panel.

[0046] Embodiment 4: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, establishing a photovoltaic panel pollution prediction model, and predicting the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data of the photovoltaic panel and the primary cleaning cycle, including: Establish a photovoltaic panel pollution prediction model according to the historical pollution data of the photovoltaic panel and a preset prediction model. Among them, the preset prediction model includes: a neural network prediction model, a linear regression prediction model, and a random regression prediction model; Input the current pollution data of the photovoltaic panel into the photovoltaic panel pollution prediction model, and predict the pollution data of the photovoltaic panel in the next cleaning cycle according to the primary cleaning cycle, denoted as the predicted photovoltaic panel pollution data; Preset the pollution level of the photovoltaic panel, perform quantization processing on the historical pollution data of the photovoltaic panel, and determine the quantization value range of the historical pollution data corresponding to each preset pollution level of the photovoltaic panel; Perform quantization processing on the predicted photovoltaic panel pollution data, and determine the pollution level of the photovoltaic panel in the next cleaning cycle according to the quantization value range. Among them, the pollution level of the photovoltaic panel includes: a simple pollution level, a general pollution level, and a severe pollution level.

[0047] In this embodiment, the photovoltaic panel pollution prediction model refers to a model established according to the historical pollution data of the photovoltaic panel and a preset prediction model for predicting the pollution data of the photovoltaic panel.

[0048] In this embodiment, predicting the pollution data of the photovoltaic panel means inputting the current pollution data of the photovoltaic panel into the photovoltaic panel pollution prediction model, and predicting the pollution data of the photovoltaic panel in the next cleaning cycle according to a single cleaning cycle.

[0049] In this embodiment, the pollution level of the photovoltaic panel refers to the level used to quantitatively represent the pollution degree of pollutants, including: simple pollution level, general pollution level, and severe pollution level.

[0050] The working principle and beneficial effects of the above technical solution are: by establishing a photovoltaic panel pollution prediction model, predicting the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data of the photovoltaic panel and a single cleaning cycle, laying a foundation for the pollution level of the photovoltaic panel for subsequent optimization of the photovoltaic panel cleaning cycle.

[0051] Embodiment 5: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, further including: Setting the prediction error per unit time, adjusting the prediction error according to the time difference between the predicted time of the next cleaning cycle and the current time, and determining the quantization value of the prediction error range of the predicted pollution data of the photovoltaic panel at each predicted time; If the quantization values of the prediction error ranges of the predicted pollution data of the photovoltaic panel are all within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, determining the pollution level of the photovoltaic panel at the predicted time according to the same preset photovoltaic panel pollution level; If the quantization values of the prediction error ranges of the predicted pollution data of the photovoltaic panel are not within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, then determining the pollution level of the photovoltaic panel at the predicted time according to the preset photovoltaic panel pollution level with a higher level.

[0052] In this embodiment, the prediction error refers to the error of the quantization value of the predicted pollution data of the photovoltaic panel.

[0053] In this embodiment, the predicted time refers to the time when the predicted pollution data of the photovoltaic panel is obtained.

[0054] In this embodiment, the prediction error range refers to the range determined according to the prediction error and the quantization value of the predicted pollution data of the photovoltaic panel.

[0055] In this embodiment, if the quantization values of the prediction error ranges of the predicted pollution data of the photovoltaic panel are all within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, that is, the prediction error does not affect the judgment of the pollution level of the photovoltaic panel.

[0056] In this embodiment, when the quantization value of the prediction error range of the predicted photovoltaic panel pollution data is not within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, the prediction error may affect the judgment of the photovoltaic panel pollution level.

[0057] In this embodiment, the photovoltaic panel pollution level at the prediction moment is determined according to the preset photovoltaic panel pollution level with a higher level. For example, when the quantization value of the prediction error range of the predicted photovoltaic panel pollution data is within the quantization value range of the severe pollution level and the quantization value range of the general pollution level, the severe pollution level is selected as the photovoltaic panel pollution level at the prediction moment to ensure the cleaning effect to the greatest extent.

[0058] The working principle and beneficial effects of the above technical solution are as follows: By setting the prediction error per unit time and adjusting the prediction error according to the time difference between the prediction moment of the next cleaning cycle and the current moment, the prediction accuracy is further improved.

[0059] Embodiment 6: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel. The cleaning cycle is optimized according to the photovoltaic panel pollution level to obtain a secondary cleaning cycle, and the photovoltaic panel is cleaned according to the secondary cleaning cycle, including: Optimizing the cleaning cycle according to the photovoltaic panel pollution level. If there is a severe pollution level in the next cleaning cycle, the cleaning cycle is optimized according to the severe pollution level; Obtaining the set of prediction moments corresponding to the severe pollution level in the next cleaning cycle, determining the prediction moment segment between the minimum prediction moment corresponding to the severe pollution level and the current moment according to the order of the prediction moments, and recording it as the secondary cleaning cycle, and cleaning the photovoltaic panel according to the secondary cleaning cycle; If there is no severe pollution level in the next cleaning cycle, continue to predict the photovoltaic panel pollution level in the subsequent cleaning cycles according to the photovoltaic panel pollution prediction model until a severe pollution level is predicted; Determining the secondary cleaning cycle according to the prediction moment segment between the prediction moment corresponding to the predicted severe pollution level and the current moment, and cleaning the photovoltaic panel according to the secondary cleaning cycle.

[0060] In this embodiment, the set of prediction moments refers to the set formed according to the prediction moments corresponding to the severe pollution level in the next cleaning cycle.

[0061] In this embodiment, the minimum prediction moment refers to the prediction moment corresponding to the earliest predicted severe pollution level.

[0062] In this embodiment, the prediction moment segment refers to the time difference between the minimum prediction moment and the current moment.

[0063] In this embodiment, the secondary cleaning cycle refers to the cleaning cycle determined by optimizing the primary cleaning cycle according to the pollution level of the photovoltaic panel.

[0064] In this embodiment, cycle optimization refers to the optimization of the primary cleaning cycle according to the pollution level of the photovoltaic panel.

[0065] In this embodiment, if there is no severe pollution level in the next cleaning cycle, continue to predict the pollution level of the photovoltaic panel in subsequent cleaning cycles according to the photovoltaic panel pollution prediction model until a severe pollution level is predicted, that is, extend the cleaning cycle.

[0066] The working principle and beneficial effects of the above technical solution are: By optimizing the primary cleaning cycle according to the pollution level of the photovoltaic panel, obtaining the secondary cleaning cycle and cleaning the photovoltaic panel according to the secondary cleaning cycle, the effective utilization of cleaning resources is further ensured.

[0067] Embodiment 7: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, which regularly evaluates the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, and evaluates and optimizes the secondary cleaning cycle according to the regular evaluation result to determine the optimal cleaning cycle of the photovoltaic panel, including: Preset the photovoltaic panel cleaning evaluation index, and regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle. Among them, the photovoltaic panel cleaning evaluation index includes: the pollution level evaluation index before and after photovoltaic panel cleaning, the power generation parameter data evaluation index before and after photovoltaic panel cleaning, and the photovoltaic panel cleaning time evaluation index; Quantify the regular evaluation result, preset the cleaning evaluation threshold. When the quantified value of the regular evaluation result is not lower than the preset cleaning evaluation threshold, it is determined that the secondary cleaning cycle of the photovoltaic panel is optimal, and the secondary cleaning cycle is recorded as the optimal cleaning cycle of the photovoltaic panel; When the quantified value of the regular evaluation result is lower than the preset cleaning evaluation threshold, it is determined that the secondary cleaning cycle of the photovoltaic panel has not reached the optimum, and evaluation and optimization are required. Re-obtain the secondary cleaning cycle to determine the optimal cleaning cycle of the photovoltaic panel.

[0068] In this embodiment, the preset photovoltaic panel cleaning evaluation index refers to the preset index for evaluating the cleaning result of the photovoltaic panel, including: the photovoltaic panel cleaning evaluation index includes: the pollution level evaluation index before and after photovoltaic panel cleaning, the power generation parameter data evaluation index before and after photovoltaic panel cleaning, and the photovoltaic panel cleaning time evaluation index.

[0069] In this embodiment, regular evaluation refers to the evaluation of the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle. Through regular evaluation, it can be ensured that the cleaning treatment result meets the standard.

[0070] In this embodiment, the preset cleaning evaluation threshold refers to the preset threshold for determining whether the cleaning treatment result meets the standard. When the quantified value of the regular evaluation result is not lower than the preset cleaning evaluation threshold, the cleaning treatment result corresponding to the secondary cleaning cycle meets the standard, and it is determined that the secondary cleaning cycle of the photovoltaic panel is optimal.

[0071] In this embodiment, the optimal cleaning cycle refers to the cleaning cycle corresponding to the qualified cleaning treatment result of the photovoltaic panel within this cleaning cycle.

[0072] The working principle and beneficial effects of the above technical solution are as follows: By regularly evaluating the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, evaluating and optimizing the secondary cleaning cycle according to the regular evaluation result, and determining the optimal cleaning cycle of the photovoltaic panel, the effective utilization of cleaning resources is ensured and the power generation efficiency of the photovoltaic panel is optimized.

[0073] Embodiment 8: The embodiment of the present invention provides a method for optimizing the cleaning cycle of a photovoltaic panel, further including: Obtain the pollution data within the optimal cleaning cycle and input it into the photovoltaic panel pollution prediction model to optimize the photovoltaic panel pollution prediction model; Set the cleaning strategy of the photovoltaic panel according to the optimal cleaning cycle and monitor the cleaning treatment of the photovoltaic panel and the pollution level of the photovoltaic panel in real time; If it is monitored that the pollution level of the photovoltaic panel is a severe pollution level but the cleaning treatment is not performed, it is determined that the cleaning is abnormal, and the cleaning treatment is immediately performed and the optimal cleaning cycle of the photovoltaic panel is optimized.

[0074] In this embodiment, model optimization refers to the optimization of the photovoltaic panel pollution prediction model by inputting the pollution data within the optimal cleaning cycle into the photovoltaic panel pollution prediction model.

[0075] In this embodiment, the cleaning strategy refers to the strategy for cleaning the photovoltaic panel set according to the optimal cleaning cycle, for example, the cleaning method strategy, the cleaning resource quantity strategy, and the cleaning time strategy.

[0076] In this embodiment, if it is monitored that the pollution level of the photovoltaic panel is a severe pollution level but the cleaning treatment is not performed, that is, the photovoltaic panel needs to be cleaned but the cleaning treatment is not performed.

[0077] In this embodiment, cleaning abnormality refers to the abnormality that when it is monitored that the pollution level of the photovoltaic panel is a severe pollution level but the cleaning treatment is not performed.

[0078] In this embodiment, the cleaning treatment is immediately performed and the optimal cleaning cycle of the photovoltaic panel is optimized. For example, the cleaning cycle is determined according to the current cleaning treatment time and the previous cleaning treatment time, and then the optimal cleaning cycle is optimized.

[0079] The working principle and beneficial effects of the above technical solution are as follows: By obtaining the pollution data within the optimal cleaning period and inputting it into the photovoltaic panel pollution prediction model to optimize the model, the effective utilization of cleaning resources is further ensured.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing the cleaning cycle of a photovoltaic panel, characterized in that, Including: Step 1: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determine the current pollution data of the photovoltaic panel; Step 2: Set the primary cleaning cycle of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, establish a photovoltaic panel pollution prediction model, and predict the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel; Step 3: Optimize the cycle of the primary cleaning cycle according to the photovoltaic panel pollution level, obtain the secondary cleaning cycle, and clean the photovoltaic panel according to the secondary cleaning cycle; Step 4: Regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, evaluate and optimize the secondary cleaning cycle according to the regular evaluation result, and determine the optimal cleaning cycle of the photovoltaic panel.

2. The optimization method for the cleaning cycle of a photovoltaic panel according to claim 1, wherein Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, and determine the current pollution data of the photovoltaic panel, including: Obtain the geographical location data and photovoltaic panel parameter data of the photovoltaic panel, where the photovoltaic panel parameter data includes: photovoltaic panel type parameter data, photovoltaic panel power generation parameter data, photovoltaic panel installation direction parameter data, and photovoltaic panel installation inclination parameter data; Obtain the pollutant type of the photovoltaic panel according to the geographical location data of the photovoltaic panel and the pre-deployed sensor; Obtain the preset photovoltaic panel power generation parameter data, and determine the pollution degree of the photovoltaic panel according to the data difference between the photovoltaic panel power generation parameter data and the preset photovoltaic panel power generation parameter data; Determine the current pollution data of the photovoltaic panel according to the pollutant type and the pollution degree.

3. A method for optimizing the cleaning cycle of a photovoltaic panel according to claim 1, characterized in that Set the primary cleaning cycle of the photovoltaic panel according to the historical pollution data of the photovoltaic panel, including: Obtain the historical pollution data of the photovoltaic panel. If the current pollution data of the photovoltaic panel is consistent with the historical pollution data, obtain the historical cleaning cycle according to the historical pollution data of the photovoltaic panel and set it as the primary cleaning cycle of the photovoltaic panel; If the current pollution data of the photovoltaic panel is inconsistent with the historical pollution data, screen the historical pollution data with a consistent data part with the current pollution data, obtain the corresponding historical cleaning cycle, and set it as the primary cleaning cycle of the photovoltaic panel.

4. A method for optimizing the cleaning cycle of a photovoltaic panel according to claim 3, characterized in that, Establish a photovoltaic panel pollution prediction model, and predict the pollution level of the photovoltaic panel in the next cleaning cycle according to the current pollution data and the primary cleaning cycle of the photovoltaic panel, including: Establish a photovoltaic panel pollution prediction model according to the historical pollution data of the photovoltaic panel and the preset prediction model, where the preset prediction model includes: neural network prediction model, linear regression prediction model, and random regression prediction model; Input the current pollution data of the photovoltaic panel into the photovoltaic panel pollution prediction model, and predict the pollution data of the photovoltaic panel in the next cleaning cycle according to the primary cleaning cycle, denoted as the predicted photovoltaic panel pollution data; Preset the photovoltaic panel pollution level, perform quantization processing on the historical pollution data of the photovoltaic panel, and determine the quantization value range of the historical pollution data corresponding to each preset photovoltaic panel pollution level; Perform quantization processing on the predicted photovoltaic panel pollution data, and determine the pollution level of the photovoltaic panel in the next cleaning cycle according to the quantization value range, where the photovoltaic panel pollution level includes: simple pollution level, general pollution level, and severe pollution level.

5. The photovoltaic panel cleaning cycle optimization method according to claim 4, wherein, Also including: Set the prediction error at a unit time, adjust the prediction error according to the time difference between the predicted time for the next cleaning cycle and the current time, and determine the quantization value of the prediction error range for the predicted photovoltaic panel pollution data at each predicted time; If the quantization values of the prediction error ranges for the predicted photovoltaic panel pollution data are all within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, determine the photovoltaic panel pollution level at the predicted time according to the same preset photovoltaic panel pollution level; If the quantization values of the prediction error ranges for the predicted photovoltaic panel pollution data are not within the quantization value range of the historical pollution data corresponding to the same preset photovoltaic panel pollution level, then determine the photovoltaic panel pollution level at the predicted time according to the preset photovoltaic panel pollution level with a higher grade.

6. The optimization method for the cleaning cycle of a photovoltaic panel according to claim 1, wherein Optimize the primary cleaning cycle according to the photovoltaic panel pollution level, obtain the secondary cleaning cycle, and perform cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle, including: Optimize the primary cleaning cycle according to the photovoltaic panel pollution level. If there is a severe pollution level in the next cleaning cycle, optimize the primary cleaning cycle according to the severe pollution level; Obtain the set of predicted times corresponding to the severe pollution level in the next cleaning cycle, determine the predicted time period between the minimum predicted time corresponding to the severe pollution level and the current time according to the order of the predicted times, record it as the secondary cleaning cycle, and perform cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle; If there is no severe pollution level in the next cleaning cycle, continue to predict the photovoltaic panel pollution level in the subsequent cleaning cycles according to the photovoltaic panel pollution prediction model until a severe pollution level is predicted; Determine the secondary cleaning cycle according to the predicted time period between the predicted time corresponding to the predicted severe pollution level and the current time, and perform cleaning treatment on the photovoltaic panel according to the secondary cleaning cycle.

7. A method for optimizing the cleaning cycle of a photovoltaic panel according to claim 1, characterized in that, Regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle, and evaluate and optimize the secondary cleaning cycle according to the regular evaluation result to determine the optimal cleaning cycle of the photovoltaic panel, including: Preset the photovoltaic panel cleaning evaluation index, and regularly evaluate the cleaning treatment result according to the preset photovoltaic panel cleaning evaluation index and the secondary cleaning cycle. Among them, the photovoltaic panel cleaning evaluation index includes: the pollution level evaluation index before and after photovoltaic panel cleaning, the power generation parameter data evaluation index before and after photovoltaic panel cleaning, and the photovoltaic panel cleaning time evaluation index; Perform quantization processing on the regular evaluation result, preset a cleaning evaluation threshold. When the quantization processing value of the regular evaluation result is not lower than the preset cleaning evaluation threshold, determine that the secondary cleaning cycle of the photovoltaic panel is optimal, and record the secondary cleaning cycle as the optimal cleaning cycle of the photovoltaic panel; When the quantization processing value of the regular evaluation result is lower than the preset cleaning evaluation threshold, determine that the secondary cleaning cycle of the photovoltaic panel has not reached the optimum, and it is necessary to perform evaluation and optimization, re-obtain the secondary cleaning cycle, and then determine the optimal cleaning cycle of the photovoltaic panel.

8. A method for optimizing the cleaning cycle of a photovoltaic panel according to claim 1, characterized in that, It also includes: Obtain the pollution data within the optimal cleaning cycle, input it into the photovoltaic panel pollution prediction model, and optimize the photovoltaic panel pollution prediction model; Set the cleaning strategy of the photovoltaic panel according to the optimal cleaning period, and monitor the cleaning process and the pollution level of the photovoltaic panel in real time; If it is monitored that the pollution level of the photovoltaic panel is a severe pollution level but the cleaning process has not been carried out, it is determined that the cleaning is abnormal, and the cleaning process is immediately carried out and the optimal cleaning period of the photovoltaic panel is optimized.

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