Dust accumulation warning method, device and equipment for photovoltaic module and medium

Abstract

The invention provides a dust accumulation warning method and device for a photovoltaic module, equipment and a medium, and relates to the technical field of photovoltaic power generation. The method comprises the following steps: acquiring a photovoltaic module to be detected, and collecting an operation parameter set of the photovoltaic module; according to the operation parameter set, performing power measurement and calculation on the photovoltaic module to obtain measurement and calculation reference power of the photovoltaic module; according to the measured reference power, obtaining a dust accumulation parameter of the photovoltaic module; and in response to the situation that the photovoltaic module has the dust accumulation risk according to the dust accumulation parameter, performing dust accumulation alarm on the photovoltaic module. The detection cost of the dust accumulation risk is reduced, the detection accuracy and efficiency of the dust accumulation risk of the photovoltaic module are improved, the processing efficiency of the dust accumulation risk of the photovoltaic module is improved, the possibility that the photovoltaic module breaks down due to dust accumulation is reduced, and the operation cost of a photovoltaic power station is reduced. And the stability of the generating capacity and the operation safety of the photovoltaic power station are improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation technology, and in particular to a method, device, equipment and medium for warning dust accumulation of photovoltaic modules. Background Art

[0002] With the development of technology, photovoltaic energy, as a clean and renewable energy, occupies an increasingly important position in people's work and life. During the daily operation of photovoltaic modules, dust will cover the photovoltaic modules, forming obstructions, which will affect the operation of photovoltaic modules to a certain extent.

[0003] In the related art, dust accumulation on the surface of photovoltaic modules can be detected by configuring sensors, but the cost is high and the accuracy is poor when the sensors are abnormal. Summary of the invention

[0004] The present application aims to solve one of the technical problems in the related art at least to a certain extent. To this end, one purpose of the present application is to propose a dust accumulation alarm method for a photovoltaic module.

[0005] The second objective of the present application is to provide a dust accumulation alarm device for a photovoltaic module.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth object of the present application is to provide a non-transitory computer-readable storage medium.

[0008] A fifth object of the present application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first aspect of the present application proposes a dust accumulation alarm method for a photovoltaic component, including: obtaining a photovoltaic component to be detected and collecting a set of operating parameters of the photovoltaic component; performing power measurement on the photovoltaic component based on the set of operating parameters to obtain a measured reference power of the photovoltaic component; obtaining a dust accumulation parameter of the photovoltaic component based on the measured reference power; and in response to identifying that the photovoltaic component has a dust accumulation risk based on the dust accumulation parameters, issuing a dust accumulation alarm for the photovoltaic component.

[0010] To achieve the above-mentioned purpose, the second aspect embodiment of the present application proposes a dust accumulation alarm device for a photovoltaic component, including: a first acquisition module, used to acquire the photovoltaic component to be detected and collect a set of operating parameters of the photovoltaic component; a measurement module, used to perform power measurement on the photovoltaic component according to the set of operating parameters to obtain a measured reference power of the photovoltaic component; a second acquisition module, used to acquire the dust accumulation parameters of the photovoltaic component according to the measured reference power; and an alarm module, used to issue a dust accumulation alarm to the photovoltaic component in response to identifying that the photovoltaic component has a dust accumulation risk according to the dust accumulation parameters.

[0011] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the dust accumulation alarm method for photovoltaic components provided in the first aspect embodiment of the present application.

[0012] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a computer-readable storage medium on which computer instructions are stored, wherein the computer instructions are used to enable a computer to execute the dust accumulation alarm method for photovoltaic components provided in the first aspect embodiment of the present application.

[0013] To achieve the above-mentioned purpose, the fifth embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the dust accumulation alarm method for photovoltaic components provided in the first embodiment of the present application.

[0014] The dust accumulation alarm method and device of the photovoltaic module proposed in the present application obtains the operating parameter set of the photovoltaic module to obtain the measured reference power of the photovoltaic module, and obtains the dust accumulation parameter of the photovoltaic module according to the measured reference power. When the photovoltaic module is identified to have dust accumulation risk based on the dust accumulation parameter, the photovoltaic module is given a dust accumulation alarm. In the present application, the corresponding measured reference power is obtained based on the operating parameter set of the photovoltaic module, and the photovoltaic module is identified to have dust accumulation risk based on the measured reference power. Compared with the photovoltaic module detected by the configuration of the sensor in the related art, the detection cost of the dust accumulation risk is reduced, the possibility of abnormal detection results of the dust accumulation risk of the photovoltaic module due to sensor abnormality is avoided, and the detection accuracy and efficiency of the dust accumulation risk of the photovoltaic module are improved. In the scenario of processing the photovoltaic module with dust accumulation risk, the processing efficiency of the dust accumulation risk of the photovoltaic module is improved, the possibility of failure of the photovoltaic module due to dust accumulation is reduced, the replacement frequency of the photovoltaic module is reduced, the safety and stability of the operation of the photovoltaic module is improved, the operation cost of the photovoltaic power station is reduced, and the stability of the power generation and the safety of the operation of the photovoltaic power station are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A schematic diagram of a process flow of a dust accumulation alarm method for a photovoltaic module according to an embodiment of the present application;

[0016] Figure 2 A schematic flow chart of a method for warning of dust accumulation in a photovoltaic module according to another embodiment of the present application;

[0017] Figure 3 A schematic diagram of training a power calculation model according to an embodiment of the present application;

[0018] Figure 4 A schematic flow chart of a method for warning of dust accumulation in a photovoltaic module according to another embodiment of the present application;

[0019] Figure 5 This is a schematic structural diagram of a dust accumulation alarm device for a photovoltaic module according to an embodiment of the present application;

[0020] Figure 6 A block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0022] The following describes the dust accumulation alarm method, device, equipment and medium of the photovoltaic module according to the embodiments of the present application in conjunction with the accompanying drawings.

[0023] Figure 1 FIG. 1 is a flow chart of a dust accumulation alarm method for a photovoltaic module according to an embodiment of the present application. Figure 1 As shown, the method includes:

[0024] S101, obtaining a photovoltaic module to be detected, and collecting a set of operating parameters of the photovoltaic module.

[0025] During daily operation, dust may accumulate on the photovoltaic modules, which may affect the operating performance of the photovoltaic modules to a certain extent.

[0026] The photovoltaic components may be photovoltaic strings or other types of components, which are not specifically limited here.

[0027] In an embodiment of the present application, a photovoltaic component that needs to be detected for dust accumulation can be marked as a photovoltaic component to be detected, and the parameters of the photovoltaic component under the operating state collected within a set time range can be marked as the operating parameters of the photovoltaic component, thereby obtaining a set of operating parameters of the photovoltaic component.

[0028] The operating parameter set of the photovoltaic module may include the operating voltage, operating current, irradiance, backplane temperature and other related parameters of the photovoltaic module, which are not specifically limited here.

[0029] S102, calculating the power of the photovoltaic module according to the set of operating parameters to obtain a calculated reference power of the photovoltaic module.

[0030] In an embodiment of the present application, the operating parameter set of the photovoltaic component can be algorithmically processed based on the power measurement algorithm in the relevant technology, and the power of the photovoltaic component during the collection time period of the operating parameter set can be obtained according to the result of the algorithm processing, which is marked as the measured reference power of the photovoltaic component.

[0031] The measured reference power can be understood as the operating power that can be achieved based on each operating parameter in the collected operating parameter set when the photovoltaic module operates normally and without risk.

[0032] It should be noted that the collection time period of the operating parameter set of the photovoltaic component can be the natural day before the current natural day, or can be other preset data collection time periods, which are not specifically limited here.

[0033] S103, obtaining dust accumulation parameters of the photovoltaic module according to the measured reference power.

[0034] In the embodiment of the present application, the dust accumulation of the photovoltaic module will affect its operating power to a certain extent. In this scenario, the dust accumulation of the photovoltaic module can be analyzed based on the obtained measured reference power.

[0035] Optionally, the parameters used to characterize the dust accumulation of photovoltaic components can be marked as dust accumulation parameters of photovoltaic components. In this scenario, a preset dust accumulation parameter acquisition algorithm can be obtained, and the measured reference power can be algorithmically processed based on the algorithm, and the dust accumulation parameters of the photovoltaic components can be obtained based on the results of the algorithm processing.

[0036] S104: In response to identifying that the photovoltaic assembly has a risk of dust accumulation according to the dust accumulation parameter, issuing a dust accumulation alarm for the photovoltaic assembly.

[0037] In an embodiment of the present application, there is a preset dust accumulation risk identification condition for the photovoltaic module. In this scenario, the acquired dust accumulation parameter can be compared with the dust accumulation risk identification condition to obtain a corresponding comparison result.

[0038] When the comparison result indicates that the dust accumulation parameter does not match the dust accumulation risk identification condition, it can be determined that there is no dust accumulation risk for the photovoltaic component during the collection time period of the operating parameter set.

[0039] Accordingly, when the comparison result indicates that the dust accumulation parameter matches the dust accumulation risk identification condition, it can be determined that the photovoltaic assembly has a dust accumulation risk during the collection time period of the operating parameter set.

[0040] Furthermore, when it is identified that there is a risk of dust accumulation on the photovoltaic module, it can be determined that the current dust accumulation on the photovoltaic module has caused a certain degree of impact on the normal operation of the photovoltaic module. In this scenario, a dust accumulation alarm can be issued for the photovoltaic module based on a preset alarm strategy.

[0041] Among them, the dust accumulation risk identification information and dust accumulation parameters of the photovoltaic modules can be transmitted to relevant staff based on a preset communication method, or the risk information of dust accumulation risk of the photovoltaic modules can be conveyed to the staff based on a preset sound and light alarm method, without specific limitation here.

[0042] The dust accumulation alarm method of the photovoltaic module proposed in the present application obtains the operating parameter set of the photovoltaic module to obtain the measured reference power of the photovoltaic module, and obtains the dust accumulation parameter of the photovoltaic module according to the measured reference power. When the photovoltaic module is identified to have dust accumulation risk based on the dust accumulation parameter, the photovoltaic module is given a dust accumulation alarm. In the present application, the corresponding measured reference power is obtained based on the operating parameter set of the photovoltaic module, and the photovoltaic module is identified to have dust accumulation risk based on the measured reference power. Compared with the detection of the photovoltaic module by configuring the sensor in the related art, the detection cost of the dust accumulation risk is reduced, the possibility of abnormal detection results of the dust accumulation risk of the photovoltaic module due to sensor abnormality is avoided, and the detection accuracy and efficiency of the dust accumulation risk of the photovoltaic module are improved. In the scenario of processing the photovoltaic module with dust accumulation risk, the processing efficiency of the dust accumulation risk of the photovoltaic module is improved, the possibility of failure of the photovoltaic module due to dust accumulation is reduced, the replacement frequency of the photovoltaic module is reduced, the safety and stability of the operation of the photovoltaic module is improved, the operation cost of the photovoltaic power station is reduced, and the stability of the power generation and the safety of the operation of the photovoltaic power station are improved.

[0043] In the above embodiment, the identification and warning of dust accumulation risk of photovoltaic modules can also be combined with Figure 2 understand, Figure 2 FIG. 1 is a flow chart of a method for warning dust accumulation of photovoltaic modules according to another embodiment of the present application. Figure 2 As shown, the method includes:

[0044] S201, obtaining a trained target power calculation model.

[0045] Optionally, a candidate power measurement model to be trained is obtained, and a sample operating parameter set of a sample photovoltaic component is obtained, wherein the sample operating parameter set includes at least a sample array identifier, a sample inverter identifier, a sample irradiance, a sample backplane temperature, and a sample power of the sample photovoltaic component.

[0046] In an embodiment of the present application, the model for performing reference power measurement of photovoltaic components can be marked as a power measurement model. As a possible implementation method, the power measurement model can be constructed based on the model architecture corresponding to the K-Nearest Neighbors (KNN) algorithm, and the constructed model to be trained can be marked as a candidate power measurement model to be trained.

[0047] In this scenario, parameters of sample photovoltaic modules can be collected to obtain training samples for candidate power measurement models. Based on the data collection method in related technologies, the operating parameters of the sample photovoltaic modules within the sample time range can be collected to obtain a sample operating parameter set consisting of the sample operating parameters of the sample photovoltaic modules.

[0048] Optionally, the sample operating parameter set may include the identifier of the sample array to which the sample photovoltaic component belongs, marked as the sample array identifier, and the identifier of the sample inverter to which the sample photovoltaic component belongs, marked as the sample inverter identifier, as well as the sample irradiance and sample backplane temperature of the sample photovoltaic component when collecting sample data, and may also include the sample power of the sample photovoltaic component when collecting sample data.

[0049] The sample power at any timestamp can be obtained through the sample current and sample voltage collected by the sample photovoltaic module at the timestamp.

[0050] Optionally, the sample power is used as a label to generate a training sample set corresponding to the sample operation parameter set.

[0051] In an embodiment of the present application, the sample power can be used as label information, and the remaining parameters in the sample operation parameter set except the sample power can be used as sample input data, and then the sample power and the sample operation parameter set are processed based on the training sample construction method in the relevant technology to obtain the corresponding sample data as the training sample of the candidate power measurement model, and then a training sample set composed of each training sample is obtained.

[0052] Optionally, model training is performed on the candidate power measurement model according to the training sample set until the training is completed to obtain a trained target power measurement model.

[0053] In an embodiment of the present application, the training samples used in the current training round can be input into the candidate power measurement model to obtain the predicted measured power obtained by the candidate power measurement model based on the training samples, and then the loss value between the predicted measured power and the label power based on the training samples can be obtained as the training loss of the candidate power measurement model.

[0054] Furthermore, the model parameters of the candidate power calculation model are adjusted based on the training loss, and the next training sample is returned to continue training the candidate power calculation model with adjusted parameters until the model training end condition is met, thereby obtaining a trained target power calculation model.

[0055] Among them, the model training end condition can be set based on the round of model training or based on the training output of the model, and is not specifically limited here.

[0056] As an example, Figure 3 As shown, the parameters of the sample photovoltaic module can be collected and Figure 3 The preprocessing module shown performs data preprocessing on the collected parameters to obtain a sample operating parameter set of the sample photovoltaic assembly.

[0057] Optionally, a training sample set is obtained based on a sample running parameter set, and Figure 3 The model training module shown is used to train the candidate power estimation model. Figure 3 In the scenario shown, when the candidate power estimation model meets the end condition of model training, Figure 3 The test model shown tests the candidate power measurement model obtained after the current training is completed, so as to obtain a candidate power measurement model that meets the test end condition, and determines the model as the trained target power measurement model.

[0058] S202, obtaining the operating array identifier, operating inverter identifier, operating irradiance and operating backplane temperature in the operating parameter set, and inputting the operating array identifier, operating inverter identifier, operating irradiance and operating backplane temperature into the target power measurement model, so as to perform power measurement on the photovoltaic module through the target power measurement model and output the measured reference power.

[0059] In an embodiment of the present application, the identifier of the array to which the photovoltaic component belongs can be obtained from the operating parameter set of the photovoltaic component and marked as the operating array identifier, and the identifier of the inverter to which the photovoltaic component belongs can be obtained and marked as the operating inverter identifier. The irradiance of the photovoltaic component can also be obtained and marked as the operating irradiance, and the backplane temperature can be marked as the operating backplane temperature.

[0060] Optionally, the input data of the target power calculation model can be generated based on the operating array identifier, operating inverter identifier, operating irradiance and operating backplane temperature in the operating parameter set, and input into the target power calculation model to calculate the reference power, thereby obtaining the calculated reference power of the photovoltaic module based on the output result of the target power calculation model.

[0061] As an example, the target power calculation model is set as a model built based on the KNN algorithm. In this example, the corresponding Minn distance can be obtained through the trained target power calculation model, and the K value of the target power calculation model can be obtained based on the Minn distance.

[0062] It can be understood by combining the following formula:

[0063]

[0064] In the above formula, M represents Mink distance, p represents Manhattan distance, and yi represents the output value corresponding to the i-th adjacent value, d(x,x i ) represents the distance between the input data of the target power measurement model and the i-th adjacent value. The calculated reference power output by the target power measurement model is obtained based on the weighted average of K adjacent values.

[0065] It can be understood that, through the trained target power measurement model, based on the input data including the operating array identifier, the operating inverter identifier, the operating irradiance and the operating backplane temperature, K groups of data whose distances from the input data meet the preset distance conditions can be obtained from the preset data set, and the power values ​​of each of the K groups of data are weighted averaged to obtain the power mean corresponding to the K groups of data. The power mean is the calculated reference power of the photovoltaic module output by the target power measurement model.

[0066] S203, obtaining the operating voltage and the operating current of the photovoltaic module to obtain the operating power of the photovoltaic module.

[0067] In an embodiment of the present application, all data of the operating voltage and operating current collected by the photovoltaic component can be obtained, based on the operating voltage and operating current collected at the same timestamp, and based on the product value between the two, the power of the photovoltaic component at the timestamp can be obtained and marked as the operating power.

[0068] S204, using the measured reference power as the minuend and the operating power as the subtrahend to obtain a corresponding power difference, and determining the power difference as a dust accumulation parameter of the photovoltaic module based on a ratio of the operating power.

[0069] Optionally, it can be understood in combination with the following formula:

[0070]

[0071] In the above formula, represents the dust accumulation parameter of the PV module, F' represents the measured reference power of the PV module, and F represents the operating power of the PV module.

[0072] In an embodiment of the present application, the measured reference power and the operating power can be calculated based on the above formula to obtain the power difference between the two, and the ratio of the power difference to the operating power can be obtained based on the above formula, thereby obtaining the dust accumulation parameters of the photovoltaic module.

[0073] S205 , in response to identifying that the photovoltaic assembly has a risk of dust accumulation according to the dust accumulation parameter, issuing a dust accumulation alarm for the photovoltaic assembly.

[0074] Optionally, in response to identifying that there is a risk of dust accumulation in a photovoltaic component, the photovoltaic component is determined to be an abnormal photovoltaic component, dust accumulation abnormality information of the abnormal photovoltaic component is obtained to generate dust accumulation alarm information of the abnormal photovoltaic component, and a dust accumulation alarm of the abnormal photovoltaic component is issued based on the dust accumulation alarm information.

[0075] In an embodiment of the present application, when it is identified that a photovoltaic component has a risk of dust accumulation, it can be determined that the current dust accumulation situation of the photovoltaic component has caused a certain degree of impact on the normal operation of the photovoltaic component. In this scenario, the photovoltaic component determined to have a risk of dust accumulation can be marked as an abnormal photovoltaic component.

[0076] Optionally, component identification information of the abnormal photovoltaic component and dust accumulation abnormality information such as specific dust accumulation parameters are obtained, and the dust accumulation abnormality information is integrated based on a preset alarm information generation strategy to obtain dust accumulation alarm information of the abnormal photovoltaic component.

[0077] Furthermore, a dust accumulation alarm is issued for the abnormal photovoltaic component based on a preset alarm method.

[0078] In an embodiment of the present application, after an abnormal photovoltaic component with a risk of dust accumulation is identified, risk processing can also be performed on the abnormal photovoltaic component, wherein a dust cleaning strategy for the abnormal photovoltaic component can be obtained, and dust cleaning can be performed on the abnormal photovoltaic component according to the dust cleaning strategy to perform abnormal repair on the abnormal photovoltaic component.

[0079] In this scenario, after an abnormal photovoltaic component is identified, the dust cleaning strategy corresponding to the abnormal photovoltaic component can be obtained, wherein the dust cleaning strategy includes a preset cleaning day and cleaning method for the abnormal photovoltaic component. The abnormal photovoltaic component can be dust cleaned on the corresponding cleaning day based on the cleaning method proposed in the strategy, thereby eliminating the risk of dust accumulation of the abnormal photovoltaic component and achieving abnormal repair of the abnormal photovoltaic component.

[0080] Among them, the cleaning days of photovoltaic modules can be understood in combination with the following contents:

[0081] Optionally, open source historical weather information can be used to obtain weather dates with moderate rain or above in the geographical area where the photovoltaic components are located in the past six months. For any date, the seven days after that date can be obtained, and the day segment formed by that date and the seven natural days can be determined as the cleaning day segment for the photovoltaic components in the geographical area.

[0082] Optionally, the identification of whether there is a risk of dust accumulation in a photovoltaic module may be understood in combination with the following:

[0083] In response to the dust accumulation parameter being greater than or equal to a preset dust accumulation parameter threshold, it is determined that the photovoltaic assembly has a dust accumulation risk.

[0084] In an embodiment of the present application, the photovoltaic component has a preset dust accumulation parameter threshold. In this scenario, the dust accumulation parameter can be compared with the corresponding dust accumulation parameter threshold. When the dust accumulation parameter is greater than or equal to the dust accumulation parameter threshold, it can be determined that the dust accumulation on the photovoltaic component has caused a certain degree of impact on the safe and normal operation of the photovoltaic component.

[0085] Furthermore, it can be determined that the photovoltaic module has a risk of dust accumulation.

[0086] Accordingly, in response to the dust accumulation parameter being less than the dust accumulation parameter threshold, it is determined that the photovoltaic assembly is not at risk of dust accumulation.

[0087] In an embodiment of the present application, when the dust accumulation parameter is less than the dust accumulation parameter threshold, it can be determined that the dust accumulation on the photovoltaic component may not affect the normal and safe operation of the photovoltaic component. In this scenario, it can be determined that the photovoltaic component does not have a risk of dust accumulation.

[0088] It should be noted that the dust accumulation parameter threshold of the photovoltaic module can be set to 10%, or can be set to other values, which are not specifically limited here.

[0089] The dust accumulation alarm method for photovoltaic modules proposed in the present application obtains the corresponding measured reference power based on the operating parameter set of the photovoltaic modules, and identifies whether the photovoltaic modules have a dust accumulation risk based on the measured reference power. Compared with the related art of detecting photovoltaic modules by configuring sensors, the detection cost of dust accumulation risk is reduced, the possibility of abnormal detection results of dust accumulation risk of photovoltaic modules due to sensor abnormality is avoided, and the detection accuracy and efficiency of dust accumulation risk of photovoltaic modules are improved. In the scenario of processing photovoltaic modules with dust accumulation risk, the processing efficiency of dust accumulation risk of photovoltaic modules is improved, the possibility of failure of photovoltaic modules due to dust accumulation is reduced, the replacement frequency of photovoltaic modules is reduced, the safety and stability of photovoltaic module operation are improved, the operating cost of photovoltaic power stations is reduced, and the stability of power generation and the safety of operation of photovoltaic power stations are improved.

[0090] To better understand the above embodiments, Figure 4 , Figure 4 FIG. 1 is a flow chart of a method for warning dust accumulation of photovoltaic modules according to another embodiment of the present application. Figure 4 As shown:

[0091] Collect data from photovoltaic modules and Figure 4 The data preprocessing module shown preprocesses the collected data to obtain a set of operating parameters of the photovoltaic module.

[0092] like Figure 4 As shown, enter the running parameter set Figure 4 In the target power calculation model shown in FIG. , the target power calculation model outputs the calculated reference power corresponding to the photovoltaic module, such as Figure 4 As shown, the target power calculation model is constructed based on the K nearest neighbor algorithm.

[0093] Optionally, the actual operating power of the photovoltaic assembly is acquired, and based on the operating power and the measured reference power, an identification result of the dust accumulation risk of the photovoltaic assembly is obtained.

[0094] The dust accumulation alarm method for photovoltaic modules proposed in the present application obtains the corresponding measured reference power based on the operating parameter set of the photovoltaic modules, and identifies whether the photovoltaic modules have a dust accumulation risk based on the measured reference power. Compared with the related art of detecting photovoltaic modules by configuring sensors, the detection cost of dust accumulation risk is reduced, the possibility of abnormal detection results of dust accumulation risk of photovoltaic modules due to sensor abnormality is avoided, and the detection accuracy and efficiency of dust accumulation risk of photovoltaic modules are improved. In the scenario of processing photovoltaic modules with dust accumulation risk, the processing efficiency of dust accumulation risk of photovoltaic modules is improved, the possibility of failure of photovoltaic modules due to dust accumulation is reduced, the replacement frequency of photovoltaic modules is reduced, the safety and stability of photovoltaic module operation are improved, the operating cost of photovoltaic power stations is reduced, and the stability of power generation and the safety of operation of photovoltaic power stations are improved.

[0095] Corresponding to the dust accumulation alarm methods for photovoltaic modules proposed in the above-mentioned embodiments, an embodiment of the present application further proposes a dust accumulation alarm device for photovoltaic modules. Since the dust accumulation alarm device for photovoltaic modules proposed in the embodiment of the present application corresponds to the dust accumulation alarm methods for photovoltaic modules proposed in the above-mentioned embodiments, the implementation methods of the dust accumulation alarm methods for photovoltaic modules proposed in the above-mentioned embodiments are also applicable to the dust accumulation alarm device for photovoltaic modules proposed in the embodiments of the present application, and will not be described in detail in the following embodiments.

[0096] Figure 5 FIG. 1 is a schematic diagram of a dust accumulation alarm device for a photovoltaic module according to an embodiment of the present application. Figure 5 As shown, the dust accumulation alarm device 500 of the photovoltaic module includes a first acquisition module 51, a measurement module 52, a second acquisition module 53 and an alarm module 54, wherein:

[0097] A first acquisition module 51 is used to acquire a photovoltaic module to be detected and collect an operating parameter set of the photovoltaic module;

[0098] The calculation module 52 is used to calculate the power of the photovoltaic module according to the operating parameter set to obtain the calculated reference power of the photovoltaic module;

[0099] A second acquisition module 53 is used to acquire dust accumulation parameters of the photovoltaic module according to the measured reference power;

[0100] The alarm module 54 is configured to, in response to identifying that the photovoltaic module has a risk of dust accumulation according to the dust accumulation parameter, issue a dust accumulation alarm to the photovoltaic module.

[0101] In an embodiment of the present application, the calculation module 52 is also used to: obtain a trained target power calculation model; obtain an operating array identifier, an operating inverter identifier, an operating irradiance, and an operating backplane temperature in an operating parameter set, and input the operating array identifier, the operating inverter identifier, the operating irradiance, and the operating backplane temperature into the target power calculation model, so as to perform power calculation on the photovoltaic module through the target power calculation model and output the calculated reference power.

[0102] In an embodiment of the present application, the calculation module 52 is also used to: obtain a candidate power measurement model to be trained; obtain a sample operating parameter set of a sample photovoltaic component, wherein the sample operating parameter set includes at least a sample array identifier, a sample inverter identifier, a sample irradiance, a sample backplane temperature, and a sample power of the sample photovoltaic component; use the sample power as a label to generate a training sample set corresponding to the sample operating parameter set; perform model training on the candidate power measurement model according to the training sample set until the training is completed, and obtain a trained target power measurement model.

[0103] In the embodiment of the present application, the second acquisition module 53 is also used to: obtain the operating voltage and operating current of the photovoltaic component to obtain the operating power of the photovoltaic component; use the measured reference power as the minuend and the operating power as the subtrahend to obtain the corresponding power difference, and determine the power difference as the dust accumulation parameter of the photovoltaic component based on the ratio of the operating power.

[0104] In the embodiment of the present application, the alarm module 54 is also used to: in response to identifying that there is a risk of dust accumulation in the photovoltaic component, determine that the photovoltaic component is an abnormal photovoltaic component; obtain dust accumulation abnormal information of the abnormal photovoltaic component to generate dust accumulation alarm information of the abnormal photovoltaic component, and issue a dust accumulation alarm for the abnormal photovoltaic component based on the dust accumulation alarm information.

[0105] In the embodiment of the present application, the alarm module 54 is further used to: obtain a dust cleaning strategy for the abnormal photovoltaic component, and clean the abnormal photovoltaic component according to the dust cleaning strategy to perform abnormal repair on the abnormal photovoltaic component.

[0106] In the embodiment of the present application, the alarm module 54 is also used to: in response to the dust accumulation parameter being greater than or equal to a preset dust accumulation parameter threshold, determine and identify that the photovoltaic component has a dust accumulation risk; in response to the dust accumulation parameter being less than the dust accumulation parameter threshold, determine and identify that the photovoltaic component does not have a dust accumulation risk.

[0107] The dust accumulation alarm device of the photovoltaic module proposed in the present application obtains the operating parameter set of the photovoltaic module to obtain the measured reference power of the photovoltaic module, and obtains the dust accumulation parameter of the photovoltaic module according to the measured reference power. When the photovoltaic module is identified to have dust accumulation risk based on the dust accumulation parameter, the photovoltaic module is given a dust accumulation alarm. In the present application, the corresponding measured reference power is obtained based on the operating parameter set of the photovoltaic module, and the photovoltaic module is identified to have dust accumulation risk based on the measured reference power. Compared with the photovoltaic module detected by the configuration of the sensor in the related art, the detection cost of the dust accumulation risk is reduced, the possibility of abnormal detection results of the dust accumulation risk of the photovoltaic module due to sensor abnormality is avoided, and the detection accuracy and efficiency of the dust accumulation risk of the photovoltaic module are improved. In the scenario of processing the photovoltaic module with dust accumulation risk, the processing efficiency of the dust accumulation risk of the photovoltaic module is improved, the possibility of failure of the photovoltaic module due to dust accumulation is reduced, the replacement frequency of the photovoltaic module is reduced, the safety and stability of the operation of the photovoltaic module is improved, the operation cost of the photovoltaic power station is reduced, and the stability of the power generation and the safety of the operation of the photovoltaic power station are improved.

[0108] To achieve the above embodiments, the present application also provides an electronic device, a computer-readable storage medium and a computer program product.

[0109] Figure 6 A block diagram of an electronic device according to an embodiment of the present application, such as Figure 6 As shown, the device 600 includes a memory 61, a processor 62, and a computer program stored in the memory 61 and executable on the processor 62. When the processor 61 executes the program instructions, the execution is realized. Figures 1 to 4 The embodiment provides a dust accumulation alarm method for a photovoltaic module.

[0110] In order to implement the above embodiments, the present application also provides a non-transitory computer-readable storage medium storing computer instructions, the computer instructions are used to enable the computer to execute Figures 1 to 4 The embodiment provides a dust accumulation alarm method for a photovoltaic module.

[0111] In order to implement the above embodiment, the present application also provides a computer program product. When the instruction processor in the computer program product executes, Figures 1 to 4 The embodiment provides a dust accumulation alarm method for a photovoltaic module.

[0112] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0113] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0114] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, this application is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0115] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0116] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0117] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0118] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0119] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0120] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0121] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0122] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A dust accumulation alarm method for photovoltaic modules, characterized in that: The method comprises: Acquire a photovoltaic module to be detected, and collect a set of operating parameters of the photovoltaic module; According to the set of operating parameters, power of the photovoltaic assembly is calculated to obtain a calculated reference power of the photovoltaic assembly; Obtaining dust accumulation parameters of the photovoltaic module according to the measured reference power; In response to identifying that the photovoltaic component has a dust accumulation risk according to the dust accumulation parameter, a dust accumulation alarm is issued for the photovoltaic component.

2. The method according to claim 1, characterized in that The step of measuring the power of the photovoltaic assembly according to the set of operating parameters to obtain a measured reference power of the photovoltaic assembly includes: Obtain the trained target power measurement model; Obtain the operating array identifier, operating inverter identifier, operating irradiance and operating backplane temperature in the operating parameter set, and input the operating array identifier, the operating inverter identifier, the operating irradiance and the operating backplane temperature into the target power measurement model, so as to perform power measurement on the photovoltaic module through the target power measurement model and output the measured reference power.

3. The method according to claim 2, characterized in that The step of obtaining the trained target power calculation model includes: Obtain a candidate power measurement model to be trained; Acquire a sample operating parameter set of a sample photovoltaic assembly, wherein the sample operating parameter set includes at least a sample array identifier, a sample inverter identifier, a sample irradiance, a sample backplane temperature, and a sample power of the sample photovoltaic assembly; Using the sample power as a label, generating a training sample set corresponding to the sample operation parameter set; The candidate power measurement model is trained according to the training sample set until the training is completed to obtain the trained target power measurement model.

4. The method according to claim 1, characterized in that The step of obtaining dust accumulation parameters of the photovoltaic module according to the measured reference power includes: Obtaining the operating voltage and operating current of the photovoltaic module to obtain the operating power of the photovoltaic module; The measured reference power is used as the minuend and the operating power is used as the subtrahend to obtain a corresponding power difference, and the power difference is determined as the dust accumulation parameter of the photovoltaic component based on the ratio of the operating power.

5. The method according to claim 1, characterized in that In response to identifying that the photovoltaic assembly has a risk of dust accumulation according to the dust accumulation parameter, issuing a dust accumulation alarm for the photovoltaic assembly includes: In response to identifying that the photovoltaic component has the dust accumulation risk, determining that the photovoltaic component is an abnormal photovoltaic component; The dust accumulation abnormality information of the abnormal photovoltaic component is acquired to generate dust accumulation alarm information of the abnormal photovoltaic component, and the dust accumulation alarm of the abnormal photovoltaic component is issued based on the dust accumulation alarm information.

6. The method according to claim 5, characterized in that The method further comprises: A dust cleaning strategy for the abnormal photovoltaic component is obtained, and dust is cleaned on the abnormal photovoltaic component according to the dust cleaning strategy to perform abnormal repair on the abnormal photovoltaic component.

7. The method according to claim 1, characterized in that In response to identifying that the photovoltaic assembly has a dust accumulation risk according to the dust accumulation parameter, before issuing a dust accumulation alarm for the photovoltaic assembly, the method further includes: In response to the dust accumulation parameter being greater than or equal to a preset dust accumulation parameter threshold, determining that the photovoltaic assembly has the dust accumulation risk; In response to the dust accumulation parameter being less than the dust accumulation parameter threshold, it is determined that the photovoltaic component is not subject to the dust accumulation risk.

8. A dust accumulation alarm device for photovoltaic modules, characterized in that: The device comprises: A first acquisition module is used to acquire a photovoltaic module to be detected and collect an operating parameter set of the photovoltaic module; A calculation module, used to calculate the power of the photovoltaic assembly according to the set of operating parameters to obtain a calculated reference power of the photovoltaic assembly; A second acquisition module, configured to acquire a dust accumulation parameter of the photovoltaic module according to the measured reference power; The alarm module is configured to, in response to identifying that the photovoltaic assembly has a risk of dust accumulation according to the dust accumulation parameter, issue a dust accumulation alarm for the photovoltaic assembly.

9. An electronic device, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having computer instructions stored thereon, wherein: The computer instructions are used to make a computer execute the method according to any one of claims 1 to 7.

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