Intelligent monitoring method and device for photovoltaic power station, medium and product

Abstract

The invention relates to the technical field of data monitoring, in particular to an intelligent monitoring method and device for a photovoltaic power station, a medium and a product, and the method comprises the steps: carrying out the multi-dimensional mining analysis operation based on meteorological information and work operation information, and determining the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station. And performing optimization adjustment analysis based on the meteorological information and the performance evaluation information, and determining optimization adjustment information. Performing the optimization adjustment analysis helps to utilize real-time and dynamic adjustment capabilities to improve power generation efficiency and energy output stability when anomalies are monitored. And when the fault assessment information comprises operation abnormity, generating a fault report based on the fault assessment information, and distributing the fault report to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When it is detected that the photovoltaic power station has a potential fault, the fault report distribution operation is automatically executed, so that operation and maintenance personnel can quickly respond and process the fault, and the operation and maintenance response efficiency of the photovoltaic power station is improved.

Description

Technical Field

[0001] The present application relates to the technical field of data monitoring, and in particular to an intelligent monitoring method, equipment, medium and product for a photovoltaic power station. Background Art

[0002] With the continuous growth of global energy demand and the increasing awareness of environmental protection, solar photovoltaic power generation, as a clean and renewable energy form, is receiving more and more attention and application. As the main carrier of solar photovoltaic power generation, the operating efficiency and stability of photovoltaic power stations are directly related to the energy production efficiency and environmental protection effect.

[0003] Traditional photovoltaic power station monitoring methods mainly rely on manual inspections and regular maintenance, resulting in low efficiency. In order to solve the defect of traditional monitoring methods that rely heavily on manual inspections, intelligent photovoltaic power station monitoring methods have emerged. However, the intelligent monitoring methods in related technologies can only respond passively after a problem occurs, lacking real-time and dynamic adjustment capabilities. At the same time, it also makes the operation and maintenance response efficiency of photovoltaic power stations low.

[0004] Therefore, how to solve the above technical problems is an urgent problem to be solved by those skilled in the art. Summary of the invention

[0005] The purpose of this application is to provide an intelligent monitoring method, device, medium and product for a photovoltaic power station, so as to solve at least one of the above technical problems.

[0006] The above invention objectives of the present application are achieved through the following technical solutions: In a first aspect, the present application provides an intelligent monitoring method for a photovoltaic power station, which adopts the following technical solution: An intelligent monitoring method for a photovoltaic power station, comprising: Obtain meteorological information corresponding to the photovoltaic power station, and use the photovoltaic monitoring sensor network to obtain the corresponding operation information of the photovoltaic power station, wherein the photovoltaic monitoring sensor network is a set of sensor networks covering various key equipment in the photovoltaic power station to monitor the operation of the photovoltaic power station in real time; Perform multi-dimensional mining and analysis operations based on the meteorological information and the work operation information to determine performance evaluation information and fault evaluation information corresponding to the photovoltaic power station; Performing optimization and adjustment analysis based on the meteorological information and the performance evaluation information to determine optimization and adjustment information, wherein the optimization and adjustment information is used to improve the working performance of the photovoltaic power station; When the fault assessment information includes an operational abnormality, a fault report is generated based on the fault assessment information, and the fault report is distributed to target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station.

[0007] By adopting the above technical solution, the meteorological information and working operation information corresponding to the photovoltaic power station are obtained, and multi-dimensional mining and analysis operations are performed based on the meteorological information and working operation information to determine the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station. Then, optimization and adjustment analysis is performed based on the meteorological information and performance evaluation information to determine the optimization and adjustment information, wherein the optimization and adjustment information is used to improve the working performance of the photovoltaic power station. Performing optimization and adjustment analysis helps to improve the power generation efficiency and energy output stability by utilizing real-time and dynamic adjustment capabilities when abnormalities are detected. When the fault evaluation information includes an operational abnormality, a fault report is generated based on the fault evaluation information, and the fault report is distributed to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When a potential fault is detected in the photovoltaic power station, the fault report distribution operation is automatically performed so that the operation and maintenance personnel can quickly respond to and handle the fault, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0008] In a preferred example, the present application may be further configured as follows: performing optimization adjustment analysis based on the meteorological information and the performance evaluation information to determine the optimization adjustment information includes: Performing standard performance screening based on the meteorological information to determine standard power generation efficiency information; The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When the power generation efficiency information is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic component, and the photovoltaic component is controlled to rotate to the target installation orientation to improve the power generation efficiency of the photovoltaic power station, wherein the target installation orientation is the optimization adjustment information determined by the optimization adjustment analysis.

[0009] In a preferred example, the present application may be further configured as follows: after controlling the photovoltaic assembly to rotate to the target installation position, the present application may further include: Obtaining the post-rotation operation information corresponding to the photovoltaic power station in the preset time after the rotation operation, calculating the power generation efficiency based on the operation information, and determining the post-rotation power generation efficiency information; Based on the comparison between the power generation efficiency information after rotation and the standard power generation efficiency information, when the power generation efficiency information is less than the standard power generation efficiency information, controlling the drone to photograph each photovoltaic component in the photovoltaic power station piece by piece, wherein the drone is equipped with a high-definition camera and an infrared thermal imager; The photovoltaic module image transmitted by the drone is obtained, and defect detection is performed based on the photovoltaic module image to determine the defect information of the photovoltaic module.

[0010] In a preferred example, the present application may be further configured as follows: after generating a fault report based on the fault assessment information, the method further includes: Filling out a work order based on the fault report to obtain a maintenance work order, and classifying the work order types based on the maintenance time limit in the maintenance work order to determine the type of maintenance work order, wherein the maintenance work order types include: emergency work orders and regular work orders; An operation and maintenance personnel database is obtained, and maintenance personnel are matched based on the maintenance work order type, the operation and maintenance personnel database, and the maintenance work order to determine a target maintenance personnel.

[0011] In a preferred example, the present application may be further configured as follows: matching maintenance personnel based on the maintenance work order type, the operation and maintenance personnel database, and the maintenance work order to determine the target maintenance personnel includes: When the maintenance work order type is the conventional work order, a maintenance analysis is performed based on the maintenance work order to determine maintenance skill requirements and an estimated maintenance time; Perform skill screening based on the maintenance skill requirements and the operation and maintenance personnel database to determine a plurality of maintenance personnel to be selected; Obtaining the current maintenance schedule of each of the maintenance personnel to be selected, matching maintenance personnel based on the current maintenance schedule of each of the maintenance personnel to be selected, the estimated maintenance duration, and the maintenance time limit in the maintenance work order, and determining a target maintenance personnel; When the maintenance work order type is the emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and a scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployable coefficient of each deployable maintenance personnel; Obtaining the current position of each deployable maintenance personnel, and calculating the deployment cost based on the location of the photovoltaic power station, the current position corresponding to each deployable maintenance personnel, and the current maintenance schedule, to obtain the deployment cost of each deployable maintenance personnel; Maintenance personnel matching is performed based on the deployable coefficient and the deployment cost of each deployable maintenance personnel to determine the target maintenance personnel.

[0012] In a preferred example, the present application may be further configured as follows: after the fault report is dispatched to the target operation and maintenance personnel, the following further includes: Establish a maintenance dispatching process, obtain the maintenance records sent by the target operation and maintenance personnel terminal in real time, and fill in the maintenance work order information based on the maintenance records until the maintenance dispatching process is completed and a complete maintenance work order is obtained.

[0013] In a second aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein the at least one application is stored in the memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned intelligent monitoring method for a photovoltaic power station.

[0014] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the above-mentioned intelligent monitoring method for a photovoltaic power station.

[0015] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program, and when the computer program is executed by a processor, the intelligent monitoring method of the photovoltaic power station is implemented.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: Obtain the meteorological information and working operation information corresponding to the photovoltaic power station, perform multi-dimensional mining and analysis operations based on the meteorological information and working operation information, and determine the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station. Then, perform optimization and adjustment analysis based on the meteorological information and performance evaluation information to determine the optimization and adjustment information, wherein the optimization and adjustment information is used to improve the working performance of the photovoltaic power station. Performing optimization and adjustment analysis helps to improve the power generation efficiency and energy output stability by utilizing real-time and dynamic adjustment capabilities when abnormalities are detected. When the fault evaluation information includes operational abnormalities, a fault report is generated based on the fault evaluation information, and the fault report is distributed to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When a potential fault is detected in the photovoltaic power station, the fault report distribution operation is automatically performed so that the operation and maintenance personnel can quickly respond to and handle the fault, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0017] Based on meteorological information, standard performance screening is performed to determine standard power generation efficiency information. The standard power generation efficiency that the photovoltaic power station should achieve under specific meteorological conditions is selected, which helps to adjust and optimize the operation status of the power station in a targeted manner. The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic module, and the photovoltaic module is controlled to rotate to the target installation orientation. Rotating the installation orientation of the photovoltaic module can make the photovoltaic module better face the orientation with the maximum solar radiation, thereby increasing the light-receiving area and lighting conditions of the photovoltaic module to improve the power generation efficiency of the photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of an intelligent monitoring method for a photovoltaic power station according to one embodiment of the present application; Figure 2 It is a structural schematic diagram of an intelligent monitoring device for a photovoltaic power station according to one embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device according to one embodiment of the present application. DETAILED DESCRIPTION

[0019] The following combination Figures 1 to 3 This application is described in further detail.

[0020] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0021] In order to make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application. It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the data related to the object is involved in the embodiment of the present application, it needs to be obtained through the authorization and consent of the object, the authorization and consent of the relevant departments, and in accordance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiment, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiment also needs to be implemented with the authorization and consent of the object.

[0022] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0023] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0024] The embodiment of the present application provides an intelligent monitoring method for a photovoltaic power station, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes step S101, step S102, step S103 and step S104, wherein: Step S101: Obtain meteorological information corresponding to the photovoltaic power station, and use the photovoltaic monitoring sensor network to obtain the corresponding working information of the photovoltaic power station, wherein the photovoltaic monitoring sensor network is a set of sensor networks covering various key equipment in the photovoltaic power station to monitor the working status of the photovoltaic power station in real time.

[0025] For the embodiment of the present application, a satellite map tool is used to locate the photovoltaic power station to determine the coordinates of the photovoltaic power station in the map, and a meteorological data software or a meteorological data software is used to obtain the meteorological information corresponding to the photovoltaic power station, wherein the meteorological information includes but is not limited to: light intensity, temperature, wind speed, humidity, weather type, etc. Accurate meteorological information is the key to evaluating the power generation potential and performance of the photovoltaic power station. At the same time, a sensor network covering each key device in the photovoltaic power station is set up in the photovoltaic power station. The key equipment can be the photovoltaic modules and inverters in the photovoltaic power station, and of course, it can also include junction boxes, cables, brackets and other equipment. Therefore, the sensors installed at each key device in the photovoltaic power station are used to obtain the corresponding working operation information of the photovoltaic power station, wherein the working operation information includes but is not limited to: the voltage, current, equipment temperature, vibration and noise corresponding to each key device; of course, it can also include: the actual power generation corresponding to the photovoltaic power station, inverter parameters (for example, conversion efficiency, DC side voltage, AC side voltage, current, frequency) and photovoltaic module parameters (for example, open circuit voltage, short circuit current, maximum power point voltage and current). The specific data items included in the working operation information corresponding to the photovoltaic power station are not limited in the embodiments of the present application, and users can adjust them according to their needs.

[0026] Step S102: Perform multi-dimensional mining and analysis operations based on meteorological information and operation information to determine performance evaluation information and fault evaluation information corresponding to the photovoltaic power station.

[0027] For the embodiments of the present application, the power generation efficiency and energy output stability of the photovoltaic power station are affected by many factors. By analyzing meteorological information and work operation information, the working status of the photovoltaic power station can be deeply and comprehensively understood, which is helpful to improve the power generation efficiency and energy output stability by using real-time and dynamic adjustment capabilities when abnormalities are detected. At the same time, potential faults of the photovoltaic power station are discovered through multi-dimensional mining and analysis, and operation and maintenance processing is taken in time, which improves the operation and maintenance response efficiency of the photovoltaic power station. Therefore, based on meteorological information and work operation information, multi-dimensional mining and analysis operations are performed to determine the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station, where the performance evaluation information includes but is not limited to: power generation efficiency information and output stability index.

[0028] Specifically, the power generation efficiency calculation operation is performed, that is, the theoretical power generation (E) is calculated based on the light intensity (I) in the meteorological information, the conversion efficiency (η) of the photovoltaic module, and the area (A) of the photovoltaic module through the following formula: E = I × A × η × t, where t represents the time period considered for the theoretical power generation calculation, for example, one day, one hour, or any specified period. Then, based on the actual power generation corresponding to the photovoltaic power station in the working operation information, the ratio calculation is performed with the theoretical power generation to determine the power generation efficiency information, which is usually expressed as a percentage.

[0029] Furthermore, the energy output stability of the photovoltaic power station under different weather conditions and different time periods is analyzed, that is, the energy output curve is drawn based on the actual power generation corresponding to the photovoltaic power station in the working operation information, and the energy output curve is divided into different parts based on the weather type in the meteorological information (for example, sunny days, rainy days, haze days, etc.), and the performance of the photovoltaic power station under different weather conditions is evaluated based on the energy output curves corresponding to different weather conditions. At the same time, the energy output curve is divided into different parts according to the daily time period (for example, daytime and nighttime), and the performance of the photovoltaic power station under different weather conditions is evaluated based on the energy output curves corresponding to different time periods. For evaluating the performance of the photovoltaic power station, by analyzing the fluctuation of the energy output curves of different parts, the volatility is calculated to evaluate the stability of the energy output, and the volatility is recorded as the output stability index, where the smaller the output stability index, the more stable the power generation.

[0030] At the same time, a fault analysis operation is performed based on meteorological information and working operation information to determine fault assessment information, wherein the fault assessment information includes but is not limited to: fault assessment results (including: normal operation and abnormal operation), fault type, fault cause, etc. There are many specific implementation processes for fault analysis operations. In one feasible method, the correlation between meteorological information and working operation information is analyzed to identify which meteorological factors have a significant relationship with the occurrence of faults in the photovoltaic power station, and by comparing the working operation information with the normal operating range, potential fault points are identified, and based on the potential fault points, the fault type is preliminarily determined, such as component failure, inverter failure, line failure, etc. Comprehensively considering meteorological factors, working operation information, equipment status and other factors, the cause of the fault is deeply analyzed, and the fault cause is determined by logical reasoning using the constructed fault tree.

[0031] Step S103: performing optimization adjustment analysis based on meteorological information and performance evaluation information to determine optimization adjustment information, wherein the optimization adjustment information is used to improve the working performance of the photovoltaic power station.

[0032] For the embodiment of the present application, the performance evaluation information reflects the current working status and efficiency level of the photovoltaic power station, so that when the power generation efficiency of the photovoltaic power station is low, the photovoltaic components or inverters can be optimized and adjusted in a timely manner to improve the power generation efficiency and working performance of the photovoltaic power station.

[0033] Specifically, when the power generation efficiency information of the photovoltaic power station is low, the installation orientation of the photovoltaic modules can be adjusted so that they can better face the orientation with the maximum solar radiation, thereby increasing the light receiving area and lighting conditions of the photovoltaic modules to improve the power generation efficiency of the photovoltaic power station. Therefore, standard performance screening is performed based on meteorological information to determine the standard power generation efficiency information; the power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic modules, and the photovoltaic modules are controlled to rotate to the target installation orientation to improve the power generation efficiency of the photovoltaic power station, wherein the target installation orientation is the optimization adjustment information determined by the optimization adjustment analysis.

[0034] Furthermore, when the power generation performance of the photovoltaic power station is unstable, by adjusting the internal algorithm and parameter settings of the inverter, the output characteristics of the photovoltaic modules can be more effectively matched to reduce the power fluctuations caused by natural factors. Therefore, standard performance screening is performed based on meteorological information to determine the stability index threshold; the output stability index in the performance evaluation information is compared with the stability index threshold, and when it is less than the stability index threshold, the working parameters of the inverter in the photovoltaic power station are obtained, and parameter optimization analysis is performed based on the working parameters to determine the optimized working parameters; the inverter is controlled to perform power conversion according to the optimized working parameters, wherein the optimized working parameters are the optimized adjustment information determined by the optimized adjustment analysis.

[0035] Step S104: When the fault assessment information includes operation abnormality, a fault report is generated based on the fault assessment information, and the fault report is distributed to target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station.

[0036] For the embodiments of the present application, when the fault assessment result in the fault assessment information is normal operation, the working condition of the photovoltaic power station is continuously monitored; when the fault assessment information includes abnormal operation, a fault report is generated based on the fault assessment information. With regard to generating a fault report, a fault report template is pre-stored in the electronic device, and the fault is filled based on the fault report template and the fault evaluation information to obtain a fault report. Then, the generated fault report is promptly distributed to the target operation and maintenance personnel through channels such as e-mail, text messages, and operation and maintenance platforms. The accuracy and timeliness of the information should be ensured during the distribution process so that the operation and maintenance personnel can respond and handle the fault quickly, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0037] It can be seen that in the embodiment of the present application, the meteorological information and working operation information corresponding to the photovoltaic power station are obtained, and a multi-dimensional mining and analysis operation is performed based on the meteorological information and the working operation information to determine the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station. Furthermore, an optimization adjustment analysis is performed based on the meteorological information and the performance evaluation information to determine the optimization adjustment information, wherein the optimization adjustment information is used to improve the working performance of the photovoltaic power station. Performing the optimization adjustment analysis helps to improve the power generation efficiency and energy output stability by utilizing the real-time and dynamic adjustment capabilities when an abnormality is detected. When the fault assessment information includes an operational abnormality, a fault report is generated based on the fault assessment information, and the fault report is distributed to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When a potential fault is detected in the photovoltaic power station, the fault report distribution operation is automatically performed so that the operation and maintenance personnel can quickly respond to and handle the fault, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0038] Furthermore, in order to improve the power generation efficiency of the photovoltaic power station, in the embodiment of the present application, an optimization adjustment analysis is performed based on meteorological information and performance evaluation information to determine the optimization adjustment information, including: Perform standard performance screening based on meteorological information to determine standard power generation efficiency information; The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic components, and the photovoltaic components are controlled to rotate to the target installation orientation to improve the power generation efficiency of the photovoltaic power station, wherein the target installation orientation is the optimization adjustment information determined by the optimization adjustment analysis.

[0039] For the embodiment of the present application, when the power generation efficiency information of the photovoltaic power station is low, the installation orientation of the photovoltaic modules can be adjusted so that they can better face the orientation with the maximum solar radiation, thereby increasing the light receiving area and lighting conditions of the photovoltaic modules to improve the power generation efficiency of the photovoltaic power station.

[0040] Specifically, since different meteorological conditions have a significant impact on the power generation efficiency of photovoltaic power stations, when judging whether it is necessary to adjust the angle and orientation of photovoltaic modules, it is preferred to perform standard performance screening based on meteorological information to determine the standard power generation efficiency that the photovoltaic power station should achieve under specific meteorological conditions, so as to adjust and optimize the operation status of the power station in a targeted manner. Therefore, a first correspondence between meteorological information and standard power generation efficiency information is obtained, and the first correspondence is pre-stored in the electronic device. Based on the first correspondence and meteorological information, standard performance screening is performed to determine the standard power generation efficiency information. Then, the power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, it indicates that the photovoltaic power station has insufficient power generation efficiency in the current operating state. It can be considered to adjust the installation orientation of the photovoltaic module, thereby increasing the light receiving area and lighting conditions of the photovoltaic module to improve the power generation efficiency of the photovoltaic power station.

[0041] Then, we use professional photovoltaic system simulation software to model and simulate the photovoltaic power station, input meteorological information into the simulation software, and adjust the installation position of photovoltaic modules to observe the trend of power generation efficiency. We find the optimal installation position and record it as the target installation position, where the target installation position includes but is not limited to information such as inclination and orientation. Finally, we control the photovoltaic modules to rotate to the target installation position to improve the power generation efficiency of the photovoltaic power station.

[0042] On the other hand, the inverter is a key device in a photovoltaic power station. The working parameters of the inverter will directly affect the power generation efficiency and energy output stability of the photovoltaic power station. Therefore, when the output stability index of the photovoltaic power station is lower than the stability index threshold, parameter optimization analysis is performed based on the working parameters, and the optimized working parameters are used to guide the inverter to adjust its working state to improve the power generation efficiency and stability.

[0043] Specifically, since different meteorological conditions have a significant impact on the power generation stability of the photovoltaic power station, when judging whether it is necessary to adjust the inverter working parameters, it is preferred to screen the standard stability index based on the meteorological information to determine the stability index threshold that the photovoltaic power station should meet under specific meteorological conditions, so as to adjust and optimize the inverter working parameters in a targeted manner. Therefore, a second corresponding relationship between the meteorological information and the stability index threshold is obtained, and the second corresponding relationship is pre-stored in the electronic device. The standard stability index is screened based on the second corresponding relationship and the meteorological information to determine the stability index threshold. The stability index threshold is a pre-set standard value used to evaluate whether the photovoltaic power station is stable in power generation. The stability index threshold can be determined based on the actual situation of the photovoltaic power station, the inverter model, and the manufacturer's recommendations. Then, the output stability index in the performance evaluation information is compared with the stability index threshold. When it is greater than the stability index threshold, it indicates that the power generation stability of the photovoltaic power station does not meet the requirements. It can be considered to optimize the working parameters of the inverter to adjust the working state of the inverter to improve the power generation stability of the photovoltaic power station.

[0044] Then, the working parameters of the inverter in the photovoltaic power station are obtained, and the working parameters of the inverter include but are not limited to: input voltage, input current, output voltage, output current, power factor, conversion efficiency, etc. Parameter optimization analysis is performed based on the working parameters to determine the optimized working parameters, and then the inverter is controlled to perform electric energy conversion according to the optimized working parameters, wherein the optimized working parameters are the optimized adjustment information determined by the optimized adjustment analysis.

[0045] It can be seen that in the embodiment of the present application, standard performance screening is performed based on meteorological information, standard power generation efficiency information is determined, and the standard power generation efficiency that the photovoltaic power station should achieve under specific meteorological conditions is selected, which helps to adjust and optimize the operating status of the power station in a targeted manner. The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic module, and the photovoltaic module is controlled to rotate to the target installation orientation. Rotating the installation orientation of the photovoltaic module can make the photovoltaic module better face the orientation with the maximum solar radiation, thereby increasing the light-receiving area and lighting conditions of the photovoltaic module to improve the power generation efficiency of the photovoltaic power station.

[0046] Furthermore, in order to timely discover defects of photovoltaic modules and prevent the defects from expanding and causing greater losses to the photovoltaic power station, in the embodiment of the present application, after controlling the photovoltaic modules to rotate to the target installation orientation, the following steps are further included: Obtaining the post-rotation working operation information corresponding to the photovoltaic power station in the preset time after the rotation operation, calculating the power generation efficiency based on the working operation information, and determining the post-rotation power generation efficiency information; Based on the comparison between the power generation efficiency information after rotation and the standard power generation efficiency information, when it is less than the standard power generation efficiency information, the drone is controlled to take pictures of each photovoltaic module in the photovoltaic power station piece by piece. The drone is equipped with a high-definition camera and an infrared thermal imager. Acquire the PV module images sent back by the drone, perform defect detection based on the PV module images, and determine the PV module defect information.

[0047] For the embodiment of the present application, after adjusting the installation orientation of the photovoltaic module, it is necessary to further determine whether the power generation efficiency of the photovoltaic power station after the rotation operation can reach the standard power generation efficiency. If it still cannot meet the requirements of the standard power generation efficiency information, it indicates that only adjusting the installation orientation of the photovoltaic module cannot meet the purpose of improving the power generation efficiency, and there are other related defects. Therefore, it is necessary to consider whether the photovoltaic module has defects. By timely discovering the defects of the photovoltaic module, it is possible to avoid the expansion of the defects and cause greater losses to the photovoltaic power station.

[0048] Specifically, the post-rotation working operation information corresponding to the photovoltaic power station in the preset time after the rotation operation is obtained. The size of the preset time can be set according to actual needs, for example, 24 hours, one week, etc. The post-rotation working operation information includes but is not limited to: power generation, voltage, current, and light intensity corresponding to the preset time. Then, the theoretical power generation is calculated based on the light intensity in the meteorological information, the conversion efficiency of the photovoltaic module, and the area of ​​the photovoltaic module to determine the theoretical power generation. Then, based on the actual power generation corresponding to the photovoltaic power station in the post-rotation working operation information, the ratio calculation is performed with the theoretical power generation to determine the post-rotation power generation efficiency information, which is usually expressed in percentage. Then, based on the comparison between the post-rotation power generation efficiency information and the standard power generation efficiency information, when it is less than the standard power generation efficiency information, it indicates that the installation orientation of the photovoltaic module cannot meet the requirements of the standard power generation efficiency information after adjusting. Therefore, according to the layout of the photovoltaic power station and the distribution of photovoltaic modules, a detailed flight plan is formulated, including flight altitude, route, shooting angle, etc., to ensure that each photovoltaic module can be clearly photographed, and then, the drone is controlled to shoot each photovoltaic module in the photovoltaic power station piece by piece, wherein the drone is equipped with a high-definition camera and an infrared thermal imager. In the process of performing piece-by-piece shooting, the high-definition camera is used to capture the surface details of the photovoltaic module, such as stains, scratches, and damage; the infrared thermal imager is used to detect the temperature distribution of the photovoltaic module and find potential hot spot phenomena. Then, the photovoltaic module image sent back by the drone is obtained, and the photovoltaic module image is preprocessed, including but not limited to: denoising, contrast enhancement, distortion correction, etc., to improve the image quality and facilitate subsequent analysis. Then, the image processing algorithm is used to perform defect detection on the preprocessed photovoltaic module image, and stains, scratches, damage and other defects on the surface of the photovoltaic module are automatically identified, and hot spot detection is performed through infrared thermal images. Finally, the detected defects are extracted to determine the defect information of the photovoltaic module, where the defect information of the photovoltaic module includes but is not limited to: the type, location, size, etc. of the defect.

[0049] It can be seen that in the embodiment of the present application, the post-rotation working operation information corresponding to the photovoltaic power station in the preset time after the rotation operation is obtained, and the power generation efficiency is calculated based on the working operation information to determine the post-rotation power generation efficiency information. Then, based on the comparison between the post-rotation power generation efficiency information and the standard power generation efficiency information, when it is less than the standard power generation efficiency information, the drone is controlled to take pictures of each photovoltaic module in the photovoltaic power station piece by piece. Then, defect detection is performed based on the photovoltaic module image to determine the defect information of the photovoltaic module. By timely discovering the defect problem of the photovoltaic module, it is possible to avoid the expansion of the defect and cause greater losses to the photovoltaic power station.

[0050] Furthermore, in order to effectively allocate resources and ensure that emergency faults are handled quickly, and that routine faults can be repaired as planned, in the embodiment of the present application, after generating a fault report based on the fault assessment information, the following is also included: Fill out a work order based on the fault report to obtain a maintenance work order, and classify the work order type based on the maintenance time limit in the maintenance work order to determine the maintenance work order type, where the maintenance work order type includes: emergency work order and regular work order; Obtain the operation and maintenance personnel database, match maintenance personnel based on the maintenance work order type, operation and maintenance personnel database and maintenance work order, and determine the target maintenance personnel.

[0051] For the embodiment of the present application, a work order is filled out based on the fault report to obtain a maintenance work order, wherein the work order template is pre-stored in the electronic device, which can effectively standardize the fault details in the photovoltaic power station and reasonably integrate them into the maintenance work order. Of course, some information in the maintenance work order can also be filled out by manual input, such as the maintenance time limit, etc. The maintenance time limit in the maintenance work order reflects the urgency of the fault corresponding to the maintenance work order to a certain extent. Therefore, the work order type is divided based on the maintenance time limit in the maintenance work order to determine the maintenance work order type, wherein the maintenance work order type includes: emergency work orders and regular work orders. Dividing the maintenance work order into emergency work orders and regular work orders can allocate resources more effectively, ensuring that emergency faults are handled quickly, and regular faults can also be repaired as planned.

[0052] Furthermore, maintenance personnel are matched based on the maintenance work order type, operation and maintenance personnel database and maintenance work order to determine the target maintenance personnel. For emergency work orders, experienced maintenance personnel with rapid response capabilities need to be selected; for regular work orders, more detailed matching can be performed based on the maintenance personnel's professional fields and skills. There are many ways to match maintenance personnel. In one feasible way, when the maintenance work order type is a regular work order, a maintenance analysis is performed based on the maintenance work order to determine the maintenance skill requirements and the estimated maintenance time; skill screening is performed based on the maintenance skill requirements and the operation and maintenance personnel database to determine multiple maintenance personnel to be selected; the current maintenance schedule of each maintenance personnel to be selected is obtained, and maintenance personnel are matched based on the current maintenance schedule, estimated maintenance time and maintenance time limit of each maintenance personnel to be selected to determine the target maintenance personnel; when the maintenance work order type is an emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and the scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployable coefficient of each deployable maintenance personnel; the current position of each deployable maintenance personnel is obtained, and the deployment cost is calculated based on the location of the photovoltaic power station, the current position corresponding to each deployable maintenance personnel and the current maintenance schedule to obtain the deployment cost of each deployable maintenance personnel; maintenance personnel are matched based on the deployable coefficient and deployment cost of each deployable maintenance personnel to determine the target maintenance personnel.

[0053] It can be seen that in the embodiment of the present application, a work order is filled out based on the fault report to obtain a maintenance work order, and the work order type is divided based on the maintenance time limit in the maintenance work order to determine the type of maintenance work order. Then, maintenance personnel are matched based on the maintenance work order type, the operation and maintenance personnel database, and the maintenance work order to determine the target maintenance personnel. Dividing maintenance work orders into emergency work orders and regular work orders can allocate resources more effectively, ensuring that emergency faults are handled quickly, and regular faults can also be repaired as planned.

[0054] Furthermore, in order to reasonably allocate maintenance personnel and improve the efficiency of photovoltaic power station fault maintenance, in an embodiment of the present application, maintenance personnel matching is performed based on the maintenance work order type, the operation and maintenance personnel database, and the maintenance work order to determine the target maintenance personnel, including: When the maintenance work order type is a regular work order, a maintenance analysis is performed based on the maintenance work order to determine the maintenance skill requirements and estimated maintenance time; Perform skill screening based on maintenance skill requirements and the operation and maintenance personnel database to determine multiple candidate maintenance personnel; Obtain the current maintenance schedule of each candidate maintenance personnel, match the maintenance personnel based on the current maintenance schedule of each candidate maintenance personnel, the estimated maintenance time and the maintenance time limit in the maintenance work order, and determine the target maintenance personnel; For the embodiment of the present application, when the type of maintenance work order is a regular work order, a maintenance analysis is performed based on the maintenance work order to determine the maintenance skill requirements and the estimated maintenance time. There are many ways to implement maintenance analysis, which are not limited in the embodiment of the present application. Users can set it according to their needs, which are not limited in the embodiment of the present application. In one feasible way, the maintenance work order records detailed information about the fault of the photovoltaic power station, so a preliminary analysis of the fault is performed based on the maintenance work order, and a preliminary judgment is made on the possible impact range of the fault. Based on the preliminary fault analysis and the cause of the fault, the maintenance skills and tools required for fault repair are determined. This part may include specific technical knowledge, tool use, equipment debugging, etc. Then, based on the maintenance skill requirements determined by the preliminary fault analysis, the estimated maintenance time required to complete the fault repair work is estimated, wherein the estimated maintenance time includes but is not limited to: inspection time, time for purchasing special parts / tools, on-site maintenance time, etc.

[0055] Then, obtain the operation and maintenance personnel database, which records the skill information of all maintenance personnel in detail. The skill information includes but is not limited to: the qualification certification, work experience, technical field and other information of the maintenance personnel. The skill information can be obtained by consulting the maintenance personnel files, skill evaluation reports and other technical documents. Then, based on the maintenance skill requirements and the skill information corresponding to the operation and maintenance personnel database, select maintenance personnel with the required skills as candidate maintenance personnel. In the skill screening process, the maintenance personnel's professional skills, work experience and previous performance in handling similar faults can be considered.

[0056] Then, the current maintenance schedule of each maintenance personnel to be selected is obtained. The current maintenance schedule is used to characterize the maintenance work orders that the maintenance personnel to be selected have received and the sorting order of the maintenance work orders that have been received. Then, the maintenance personnel are matched based on the current maintenance schedule of each maintenance personnel to be selected, the estimated maintenance time and the maintenance time limit in the maintenance work order, and the target maintenance personnel are determined. In the maintenance personnel matching operation in this step, it is necessary to determine whether the time to complete the fault repair after arranging the maintenance work order to the current maintenance schedule of the maintenance personnel to be selected is within the maintenance time limit of the maintenance work order. If it is within the maintenance time limit, the maintenance personnel to be selected is recorded as the target maintenance personnel; if it is not within the maintenance time limit, the next maintenance personnel to be selected is selected for re-judgment until the maintenance personnel matching is completed. When there are multiple target maintenance personnel that meet the requirements, a random algorithm is also used to randomly select a maintenance personnel as the final target maintenance personnel.

[0057] When the maintenance work order type is an emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and the scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployment coefficient of each deployable maintenance personnel; Obtain the current location of each deployable maintenance personnel, and calculate the deployment cost based on the location of the photovoltaic power station, the current location of each deployable maintenance personnel and the current maintenance schedule, to obtain the deployment cost of each deployable maintenance personnel; Maintenance personnel matching is performed based on the deployment coefficient and deployment cost of each deployable maintenance personnel, and the target maintenance personnel is determined.

[0058] For the embodiment of the present application, when the maintenance work order type is an emergency work order, the current maintenance arrangement of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, wherein the deployable maintenance personnel are personnel who can undertake emergency fault maintenance, that is, these maintenance personnel are on-the-job, have a certain flexibility in work arrangement, and have efficient communication and collaboration capabilities. Then, a scheduling degree analysis is performed based on the current maintenance arrangement of each deployable maintenance personnel to determine the deployable coefficient of each deployable maintenance personnel, wherein the scheduling degree analysis is used to evaluate the adjustable space size of the current maintenance arrangement of the maintenance personnel to avoid the emergency work order affecting the other work arrangements of the maintenance personnel and failing to complete them on time. For the scheduling degree analysis, a scheduling degree analysis is performed based on the current maintenance of each deployable maintenance personnel, and the scheduling degree analysis includes but is not limited to: task volume analysis, time arrangement analysis, priority evaluation and workload balancing analysis, etc., to obtain the deployable coefficient, which can be a value or an indicator used to indicate the availability and dispatchability of the maintenance personnel in an emergency situation. The higher the deployable coefficient, the higher the availability of the maintenance personnel, and the more suitable it is for handling emergency maintenance work orders.

[0059] At the same time, the current location of each deployable maintenance personnel is obtained. There are many ways to obtain the current location, which can be obtained through GPS positioning, maintenance personnel reporting or location records in the maintenance management system to ensure that the geographical location coordinates of each deployable maintenance personnel can be accurately obtained. Then, the deployment cost is calculated based on the location of the photovoltaic power station, the current location of each deployable maintenance personnel and the current maintenance schedule to obtain the deployment cost of each deployable maintenance personnel. In the process of scheduling cost calculation, the round-trip cost of the maintenance personnel and the scheduling maintenance arrangement cost are integrated. The round-trip cost is determined by the location distance and traffic time between the photovoltaic power station location and the current location of the deployable maintenance personnel; the scheduling maintenance arrangement cost is calculated by the impact of accepting emergency work orders on other tasks in the current maintenance schedule of the deployable maintenance personnel. Finally, maintenance personnel matching is performed based on the adjustable coefficient and deployment cost of each deployable maintenance personnel, and the target maintenance personnel is determined. For the maintenance personnel matching operation in this step, the adjustable coefficient threshold and the deployment cost threshold are pre-set in the electronic device. A preliminary screening is performed based on the adjustable coefficient and deployment cost of each deployable maintenance personnel, and then the first weight corresponding to the adjustable coefficient and the second weight corresponding to the deployment cost are obtained, and the first weight, the second weight, the adjustable coefficient and the deployment cost are calculated, and the deployable maintenance personnel with the highest score value are selected as the target maintenance personnel. Based on the characteristics of the maintenance work order, the corresponding maintenance personnel matching method is adopted, which can make the maintenance personnel reasonably allocated and improve the efficiency of photovoltaic power station fault maintenance.

[0060] It can be seen that in the embodiment of the present application, when the type of maintenance work order is a regular work order, maintenance analysis is performed based on the maintenance work order to determine the maintenance skill requirements and the estimated maintenance time. Then, skill screening is performed based on the maintenance skill requirements and the operation and maintenance personnel database to determine multiple maintenance personnel to be selected. Then, the current maintenance schedule of each maintenance personnel to be selected is obtained, and maintenance personnel matching is performed based on the current maintenance schedule, estimated maintenance time and maintenance time limit in the maintenance work order of each maintenance personnel to be selected, and the target maintenance personnel is determined. When the type of maintenance work order is an emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and the scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployable coefficient of each deployable maintenance personnel. Then, the current position of each deployable maintenance personnel is obtained, and the deployment cost calculation is performed based on the photovoltaic power station position, the current position corresponding to each deployable maintenance personnel and the current maintenance schedule, and the deployment cost of each deployable maintenance personnel is obtained. Then, the maintenance personnel matching is performed based on the deployable coefficient and deployment cost of each deployable maintenance personnel to determine the target maintenance personnel. Based on the characteristics of the maintenance work order, a corresponding maintenance personnel matching method is adopted, which can make maintenance personnel get reasonable allocation and improve the efficiency of photovoltaic power station fault maintenance.

[0061] Furthermore, in order to understand the repair progress of the fault in real time and accurately, in the embodiment of the present application, after the fault report is dispatched to the target operation and maintenance personnel, the following steps are also included: Establish a maintenance dispatch process, obtain the maintenance records sent by the target operation and maintenance personnel's terminal in real time, and fill in the maintenance work order information based on the maintenance records until the maintenance dispatch process is completed and a complete maintenance work order is obtained.

[0062] For the embodiment of the present application, after determining the target maintenance personnel corresponding to the maintenance work order, a maintenance dispatching process is established, wherein the maintenance dispatching process includes but is not limited to: dispatching, received, being processed, completed, received, returned, closed, and other states. After the maintenance dispatching process is established, the maintenance records and maintenance instructions sent by the target operation and maintenance personnel terminal are obtained in real time, and the execution of the maintenance dispatching process is continuously promoted based on the maintenance instructions, so that the maintenance personnel and the photovoltaic power station management personnel can understand the progress of the fault repair in real time and accurately. The maintenance record is the maintenance record obtained after the target maintenance personnel arrives at the maintenance site to repair the fault, wherein the maintenance record includes but is not limited to: the condition before the fault repair, the condition after the fault repair, the picture before the fault repair, the picture after the fault repair, the replacement of the fault repair parts, etc. Then, the maintenance record is filled into the maintenance work order until the maintenance dispatching process is completed, that is, the state of the maintenance dispatching process is closed, and a complete maintenance work order is obtained.

[0063] It can be seen that in the embodiment of the present application, a dispatch repair process is established, the repair record sent by the target operation and maintenance personnel terminal is obtained in real time, and the repair work order is filled with information based on the repair record until the dispatch repair process is completed and a complete repair work order is obtained. Real-time acquisition of maintenance records facilitates maintenance personnel and photovoltaic power station managers to understand the repair progress of the fault in real time and accurately.

[0064] The above embodiment introduces an intelligent monitoring method for a photovoltaic power station from the perspective of a method flow, and the following embodiment introduces an intelligent monitoring device for a photovoltaic power station from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0065] The present application embodiment provides an intelligent monitoring device for a photovoltaic power station, such as Figure 2 As shown, the intelligent monitoring device of the photovoltaic power station may specifically include: The information acquisition module 210 is used to acquire meteorological information corresponding to the photovoltaic power station, and to acquire working information corresponding to the photovoltaic power station by using the photovoltaic monitoring sensor network, wherein the photovoltaic monitoring sensor network is a set of sensor networks covering various key equipment in the photovoltaic power station to monitor the working status of the photovoltaic power station in real time; A mining and analysis module 220 is used to perform multi-dimensional mining and analysis operations based on meteorological information and operation information to determine performance evaluation information and fault evaluation information corresponding to the photovoltaic power station; The optimization and adjustment module 230 is used to perform optimization and adjustment analysis based on meteorological information and performance evaluation information to determine optimization and adjustment information, wherein the optimization and adjustment information is used to improve the working performance of the photovoltaic power station; The fault dispatching module 240 is used to generate a fault report based on the fault assessment information when the fault assessment information includes an operation abnormality, and dispatch the fault report to target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station.

[0066] For the embodiment of the present application, the meteorological information and working operation information corresponding to the photovoltaic power station are obtained, and a multi-dimensional mining and analysis operation is performed based on the meteorological information and the working operation information to determine the performance evaluation information and fault assessment information corresponding to the photovoltaic power station. Furthermore, an optimization adjustment analysis is performed based on the meteorological information and the performance evaluation information to determine the optimization adjustment information, wherein the optimization adjustment information is used to improve the working performance of the photovoltaic power station. Performing the optimization adjustment analysis helps to improve the power generation efficiency and energy output stability by utilizing the real-time and dynamic adjustment capabilities when an abnormality is detected. When the fault assessment information includes an operational abnormality, a fault report is generated based on the fault assessment information, and the fault report is distributed to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When a potential fault is detected in the photovoltaic power station, the fault report distribution operation is automatically performed so that the operation and maintenance personnel can quickly respond to and handle the fault, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0067] In a possible implementation of the embodiment of the present application, when the optimization and adjustment module 230 performs optimization and adjustment analysis based on meteorological information and performance evaluation information to determine optimization and adjustment information, it is used to: Perform standard performance screening based on meteorological information to determine standard power generation efficiency information; The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When it is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic components, and the photovoltaic components are controlled to rotate to the target installation orientation to improve the power generation efficiency of the photovoltaic power station, wherein the target installation orientation is the optimization adjustment information determined by the optimization adjustment analysis.

[0068] In a possible implementation of the embodiment of the present application, the intelligent monitoring device of the photovoltaic power station further includes: A defect detection module is used to obtain the post-rotation working operation information corresponding to the photovoltaic power station in the preset time after the rotation operation, calculate the power generation efficiency based on the working operation information, and determine the post-rotation power generation efficiency information; Based on the comparison between the power generation efficiency information after rotation and the standard power generation efficiency information, when it is less than the standard power generation efficiency information, the drone is controlled to take pictures of each photovoltaic module in the photovoltaic power station piece by piece. The drone is equipped with a high-definition camera and an infrared thermal imager. Acquire the PV module images sent back by the drone, perform defect detection based on the PV module images, and determine the PV module defect information.

[0069] In a possible implementation of the embodiment of the present application, the intelligent monitoring device of the photovoltaic power station further includes: A work order processing module is used to fill in a work order based on a fault report to obtain a maintenance work order, and to classify the work order type based on the maintenance time limit in the maintenance work order to determine the maintenance work order type, wherein the maintenance work order types include: emergency work order and regular work order; Obtain the operation and maintenance personnel database, match maintenance personnel based on the maintenance work order type, operation and maintenance personnel database and maintenance work order, and determine the target maintenance personnel In a possible implementation of the embodiment of the present application, when the work order processing module performs maintenance personnel matching based on the maintenance work order type, the operation and maintenance personnel database and the maintenance work order to determine the target maintenance personnel, it is used to: When the maintenance work order type is a regular work order, a maintenance analysis is performed based on the maintenance work order to determine the maintenance skill requirements and estimated maintenance time; Perform skill screening based on maintenance skill requirements and the operation and maintenance personnel database to determine multiple candidate maintenance personnel; Obtain the current maintenance schedule of each candidate maintenance personnel, match the maintenance personnel based on the current maintenance schedule of each candidate maintenance personnel, the estimated maintenance time and the maintenance time limit in the maintenance work order, and determine the target maintenance personnel; When the maintenance work order type is an emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and the scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployment coefficient of each deployable maintenance personnel; Obtain the current location of each deployable maintenance personnel, and calculate the deployment cost based on the location of the photovoltaic power station, the current location of each deployable maintenance personnel and the current maintenance schedule, to obtain the deployment cost of each deployable maintenance personnel; Maintenance personnel matching is performed based on the deployment coefficient and deployment cost of each deployable maintenance personnel, and the target maintenance personnel is determined.

[0070] In a possible implementation of the embodiment of the present application, the intelligent monitoring device of the photovoltaic power station further includes: The maintenance tracking module is used to establish a maintenance dispatching process, obtain the maintenance records sent by the target operation and maintenance personnel terminal in real time, and fill in the maintenance work order information based on the maintenance records until the maintenance dispatching process is completed and a complete maintenance work order is obtained.

[0071] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the intelligent monitoring device for a photovoltaic power station described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0072] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0073] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0074] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0075] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0076] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0077] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0078] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0079] The embodiment of the present application provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the method in any of the above embodiments. Compared with the related art, the embodiment of the present application obtains meteorological information and working operation information corresponding to the photovoltaic power station, performs multi-dimensional mining and analysis operations based on the meteorological information and working operation information, and determines the performance evaluation information and fault evaluation information corresponding to the photovoltaic power station. Further, an optimization adjustment analysis is performed based on the meteorological information and the performance evaluation information to determine the optimization adjustment information, wherein the optimization adjustment information is used to improve the working performance of the photovoltaic power station. Performing the optimization adjustment analysis helps to improve the power generation efficiency and energy output stability by utilizing the real-time and dynamic adjustment capabilities when an abnormality is detected. When the fault evaluation information includes an operational abnormality, a fault report is generated based on the fault evaluation information, and the fault report is distributed to the target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station. When a potential fault is detected in the photovoltaic power station, the fault report distribution operation is automatically performed so that the operation and maintenance personnel can quickly respond to and handle the fault, thereby improving the operation and maintenance response efficiency of the photovoltaic power station.

[0080] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0081] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent monitoring method for a photovoltaic power station, characterized in that: include: Obtain meteorological information corresponding to the photovoltaic power station, and use the photovoltaic monitoring sensor network to obtain the corresponding operation information of the photovoltaic power station, wherein the photovoltaic monitoring sensor network is a set of sensor networks covering various key equipment in the photovoltaic power station to monitor the operation of the photovoltaic power station in real time; Perform multi-dimensional mining and analysis operations based on the meteorological information and the work operation information to determine performance evaluation information and fault evaluation information corresponding to the photovoltaic power station; Performing optimization and adjustment analysis based on the meteorological information and the performance evaluation information to determine optimization and adjustment information, wherein the optimization and adjustment information is used to improve the working performance of the photovoltaic power station; When the fault assessment information includes an operational abnormality, a fault report is generated based on the fault assessment information, and the fault report is distributed to target operation and maintenance personnel to improve the operation and maintenance response efficiency of the photovoltaic power station.

2. The intelligent monitoring method for a photovoltaic power station according to claim 1, characterized in that: The performing optimization adjustment analysis based on the meteorological information and the performance evaluation information to determine the optimization adjustment information includes: Performing standard performance screening based on the meteorological information to determine standard power generation efficiency information; The power generation efficiency information in the performance evaluation information is compared with the standard power generation efficiency information. When the power generation efficiency information is less than the standard power generation efficiency information, an angle analysis is performed based on the meteorological information to determine the target installation orientation corresponding to the photovoltaic component, and the photovoltaic component is controlled to rotate to the target installation orientation to improve the power generation efficiency of the photovoltaic power station, wherein the target installation orientation is the optimization adjustment information determined by the optimization adjustment analysis.

3. The intelligent monitoring method for a photovoltaic power station according to claim 2, characterized in that: After controlling the photovoltaic assembly to rotate to the target installation position, the method further includes: Obtaining the post-rotation operation information corresponding to the photovoltaic power station in the preset time after the rotation operation, calculating the power generation efficiency based on the operation information, and determining the post-rotation power generation efficiency information; Based on the comparison between the power generation efficiency information after rotation and the standard power generation efficiency information, when the power generation efficiency information is less than the standard power generation efficiency information, controlling the drone to photograph each photovoltaic component in the photovoltaic power station piece by piece, wherein the drone is equipped with a high-definition camera and an infrared thermal imager; The photovoltaic module image transmitted by the drone is obtained, and defect detection is performed based on the photovoltaic module image to determine the defect information of the photovoltaic module.

4. The intelligent monitoring method for a photovoltaic power station according to claim 1, characterized in that: After generating a fault report based on the fault assessment information, the method further includes: Filling out a work order based on the fault report to obtain a maintenance work order, and classifying the work order types based on the maintenance time limit in the maintenance work order to determine the type of maintenance work order, wherein the maintenance work order types include: emergency work orders and regular work orders; An operation and maintenance personnel database is obtained, and maintenance personnel are matched based on the maintenance work order type, the operation and maintenance personnel database, and the maintenance work order to determine a target maintenance personnel.

5. The intelligent monitoring method for a photovoltaic power station according to claim 4, characterized in that: The matching of maintenance personnel based on the maintenance work order type, the operation and maintenance personnel database and the maintenance work order to determine the target maintenance personnel includes: When the maintenance work order type is the conventional work order, a maintenance analysis is performed based on the maintenance work order to determine maintenance skill requirements and an estimated maintenance time; Perform skill screening based on the maintenance skill requirements and the operation and maintenance personnel database to determine a plurality of maintenance personnel to be selected; Obtaining the current maintenance schedule of each of the maintenance personnel to be selected, matching maintenance personnel based on the current maintenance schedule of each of the maintenance personnel to be selected, the estimated maintenance duration, and the maintenance time limit in the maintenance work order, and determining a target maintenance personnel; When the maintenance work order type is the emergency work order, the current maintenance schedule of each deployable maintenance personnel in the operation and maintenance personnel database is obtained, and a scheduling degree analysis is performed based on the current maintenance schedule of each deployable maintenance personnel to determine the deployable coefficient of each deployable maintenance personnel; Obtaining the current position of each deployable maintenance personnel, and calculating the deployment cost based on the location of the photovoltaic power station, the current position corresponding to each deployable maintenance personnel, and the current maintenance schedule, to obtain the deployment cost of each deployable maintenance personnel; Maintenance personnel matching is performed based on the deployable coefficient and the deployment cost of each deployable maintenance personnel to determine the target maintenance personnel.

6. The intelligent monitoring method for a photovoltaic power station according to claim 4, characterized in that: After the fault report is sent to the target operation and maintenance personnel, the method further includes: Establish a maintenance dispatching process, obtain the maintenance records sent by the target operation and maintenance personnel terminal in real time, and fill in the maintenance work order information based on the maintenance records until the maintenance dispatching process is completed and a complete maintenance work order is obtained.

7. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the intelligent monitoring method for a photovoltaic power station according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the intelligent monitoring method for a photovoltaic power station according to any one of claims 1 to 6.

9. A computer program product, characterized in that The method comprises a computer program, wherein the computer program is executed by a processor to implement the intelligent monitoring method for a photovoltaic power station according to any one of claims 1 to 6.

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