An automatic cleaning method and system based on remote monitoring of distributed photovoltaic power stations

Abstract

The present application provides an automatic cleaning method and system, electronic equipment and storage medium based on remote monitoring of distributed photovoltaic power stations, and relates to the field of new energy technology. After a single distributed photovoltaic power station is completed, the method pre-sets the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station; monitors the actual power generation power and light intensity of multiple periodic points collected from the photovoltaic power station to determine whether to generate an alarm message that the photovoltaic power station needs to be cleaned; if an alarm message that the photovoltaic power station needs to be cleaned is generated, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station are obtained according to the geographic coordinates of the photovoltaic power station in the alarm message, and the drone is assigned to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area. This embodiment does not require manual control and can achieve the purpose of accurately and efficiently cleaning distributed photovoltaic power stations.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and in particular to an automatic cleaning method and system, electronic equipment and storage medium based on remote monitoring of distributed photovoltaic power stations. Background Art

[0002] Distributed photovoltaic power stations are widely used in various scenarios due to their flexibility and scalability, such as residential rooftops, commercial buildings, industrial areas, water, etc. However, these power stations are usually distributed over a wide geographical area, with a large number of sites and dispersed locations, which poses a challenge to maintenance.

[0003] In order to maintain the power generation efficiency of the power station, it is essential to clean the photovoltaic panels regularly. Pollutants such as dust, dirt and bird droppings will reduce the light transmittance of photovoltaic panels, thereby reducing the efficiency of converting light energy into electrical energy. Studies have shown that regular cleaning can significantly improve the power generation efficiency of photovoltaic panels.

[0004] Cleaning needs to consider many factors, including geographical location, climate conditions, and pollution levels. For example, in areas with frequent sandstorms, the cleaning frequency may need to be higher. Therefore, how to accurately and efficiently clean distributed photovoltaic power stations has become a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the above problems, this application is proposed to provide an automatic cleaning method and system based on remote monitoring of distributed photovoltaic power stations, electronic equipment and storage medium that overcome the above problems or at least partially solve the above problems. The technical solution is as follows:

[0006] In a first aspect, an automatic cleaning method based on remote monitoring of a distributed photovoltaic power station is provided, comprising:

[0007] After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographical coordinates of the photovoltaic power station are pre-set when the drone cleans the photovoltaic power station;

[0008] For any photovoltaic power station among multiple distributed photovoltaic power stations, the actual power generation power and light intensity of the photovoltaic power station are collected according to the set period;

[0009] Monitor the actual power generation and light intensity of multiple periodic points of the photovoltaic power station to determine whether to generate an alarm message indicating that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographical coordinates of the photovoltaic power station;

[0010] If an alarm message is generated indicating that the photovoltaic power station needs to be cleaned, the pre-set cleaning route and photovoltaic panel area for the drone to clean the photovoltaic power station are obtained based on the geographic coordinates of the photovoltaic power station in the alarm message, and the drone is assigned to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0011] In a possible implementation, after a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set for the drone to clean the photovoltaic power station, including:

[0012] After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set in the remote system.

[0013] For any of the multiple distributed photovoltaic power stations, the actual power generation and light intensity of the photovoltaic power station are collected according to the set period, including:

[0014] For any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

[0015] In a possible implementation, according to the geographic coordinates of the photovoltaic power station in the alarm information, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station are obtained, including:

[0016] The remote system obtains the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station based on the geographic coordinates of the photovoltaic power station in the alarm information.

[0017] In a possible implementation, the actual power generation and light intensity of the photovoltaic power station collected at multiple periodic points are monitored to determine whether to generate alarm information that the photovoltaic power station needs to be cleaned, including:

[0018] For any periodic point, the theoretical power generation of the photovoltaic power station at that periodic point is calculated based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at that periodic point;

[0019] Calculate the power generation efficiency of the photovoltaic power station at this cycle point based on the theoretical power generation power and actual power generation power of the photovoltaic power station at this cycle point;

[0020] The power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station is averaged to obtain the average power generation efficiency;

[0021] If the average power generation efficiency is less than or equal to the preset threshold, it is determined that an alarm message indicating that the photovoltaic power station needs to be cleaned is generated.

[0022] In a possible implementation, the theoretical power generation power of the photovoltaic power station at the cycle point is calculated according to the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at the cycle point by the following formula, including:

[0023] The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

[0024] In a possible implementation, the preset threshold is a value between 0.75 and 0.85.

[0025] In a possible implementation, drones are assigned to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area, including:

[0026] The idle drone is called, and the cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station are sent to the drone. After the drone arrives at the photovoltaic power station, it cleans the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0027] In the second aspect, an automatic cleaning system based on remote monitoring of a distributed photovoltaic power station is provided, comprising:

[0028] The setting unit is used to pre-set the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station after the completion of a single distributed photovoltaic power station;

[0029] A collection unit is used to collect the actual power generation and light intensity of any one of the multiple distributed photovoltaic power stations according to a set period;

[0030] A determination unit, used to monitor the actual power generation power and light intensity of multiple periodic points of the photovoltaic power station collected, and determine whether to generate an alarm message that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographical coordinates of the photovoltaic power station;

[0031] The cleaning unit is used to obtain the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station according to the geographical coordinates of the photovoltaic power station in the alarm information if an alarm information indicating that the photovoltaic power station needs to be cleaned is generated, and allocate the drone to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0032] In a possible implementation manner, the setting unit is further configured to:

[0033] After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set in the remote system.

[0034] The acquisition unit is also used for:

[0035] For any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

[0036] In a possible implementation, the cleaning unit is further used for:

[0037] The remote system obtains the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station based on the geographic coordinates of the photovoltaic power station in the alarm information.

[0038] In a possible implementation manner, the determining unit is further configured to:

[0039] For any periodic point, the theoretical power generation of the photovoltaic power station at that periodic point is calculated based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at that periodic point;

[0040] Calculate the power generation efficiency of the photovoltaic power station at this cycle point based on the theoretical power generation power and actual power generation power of the photovoltaic power station at this cycle point;

[0041] The power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station is averaged to obtain the average power generation efficiency;

[0042] If the average power generation efficiency is less than or equal to the preset threshold, it is determined that an alarm message indicating that the photovoltaic power station needs to be cleaned is generated.

[0043] In a possible implementation manner, the determining unit is further configured to:

[0044] The theoretical power generation of the photovoltaic power station at this cycle point is calculated by the following formula based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at this cycle point, including:

[0045] The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

[0046] In a possible implementation, the preset threshold is a value between 0.75 and 0.85.

[0047] In a possible implementation, the cleaning unit is further used for:

[0048] The idle drone is called, and the cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station are sent to the drone. After the drone arrives at the photovoltaic power station, it cleans the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0049] In a third aspect, an electronic device is provided, comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the above-mentioned automatic cleaning methods based on remote monitoring of distributed photovoltaic power stations.

[0050] In a fourth aspect, a storage medium is provided, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above-mentioned automatic cleaning methods based on remote monitoring of distributed photovoltaic power stations when running.

[0051] By means of the above technical scheme, the automatic cleaning method and system, electronic device and storage medium based on remote monitoring of distributed photovoltaic power stations provided in the embodiment of the present application can pre-set the cleaning route, photovoltaic panel area and geographical coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station after the completion of a single distributed photovoltaic power station; for any photovoltaic power station among multiple distributed photovoltaic power stations, collect the actual power generation power and light intensity of the photovoltaic power station according to the set period; monitor the actual power generation power and light intensity of multiple periodic points of the collected photovoltaic power station to determine whether to generate an alarm information that requires cleaning of the photovoltaic power station; wherein the alarm information includes the geographical coordinates of the photovoltaic power station; if the alarm information that requires cleaning of the photovoltaic power station is generated, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station are obtained according to the geographical coordinates of the photovoltaic power station in the alarm information, and the drone is allocated to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area. It can be seen that the present embodiment can automatically allocate drones to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area according to the efficiency of the photovoltaic power station, without manual control, and can achieve the purpose of accurately and efficiently cleaning the distributed photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in describing the embodiments of the present application are briefly introduced below.

[0053] Figure 1 A flow chart of an automatic cleaning method based on remote monitoring of a distributed photovoltaic power station provided in an embodiment of the present application is shown;

[0054] Figure 2 A flow chart of an automatic cleaning method based on remote monitoring of a distributed photovoltaic power station provided by another embodiment of the present application is shown;

[0055] Figure 3 The structure diagram of the automatic cleaning system based on remote monitoring of distributed photovoltaic power stations provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0056] The exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present application are shown in the accompanying drawings, it should be understood that the present application can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present application and to fully convey the scope of the present application to those skilled in the art.

[0057] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that such use is interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the term "including" and its variants are to be interpreted as open-ended terms meaning "including but not limited to".

[0058] In order to solve the above technical problems, the embodiment of the present application provides an automatic cleaning method based on remote monitoring of distributed photovoltaic power stations, such as Figure 1 As shown, the automatic cleaning method based on remote monitoring of distributed photovoltaic power stations may include the following steps S101 to S104:

[0059] Step S101, after a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set when the drone cleans the photovoltaic power station.

[0060] In this step, the distributed photovoltaic power station can be built on residential roofs, commercial buildings, industrial areas, water, etc., and this embodiment does not limit this.

[0061] Step S102 : for any one of the plurality of distributed photovoltaic power stations, the actual power generation power and light intensity of the photovoltaic power station are collected according to a set period.

[0062] In this step, the set period can be set according to actual needs, such as setting the period to 15 minutes, 30 minutes or 60 minutes, etc., which is not limited in this embodiment.

[0063] Step S103, monitoring the actual power generation and light intensity of the photovoltaic power station at multiple periodic points collected, and determining whether to generate alarm information indicating that the photovoltaic power station needs to be cleaned; wherein the alarm information includes the geographic coordinates of the photovoltaic power station.

[0064] In this step, the actual power generation power and light intensity collected at multiple periodic points of the photovoltaic power station are monitored to determine whether an alarm message indicating that the photovoltaic power station needs to be cleaned is generated; that is, it can be determined whether an alarm message indicating that the photovoltaic power station needs to be cleaned is generated based on the actual power generation power and light intensity collected at multiple periodic points of the photovoltaic power station.

[0065] Here, the actual power generation and light intensity of the photovoltaic power station are collected according to the set period, so that the actual power generation and light intensity of multiple periodic points of the photovoltaic power station can be collected. For example, the set period is T, the actual power generation and light intensity of the photovoltaic power station are collected at t1, the actual power generation and light intensity of the photovoltaic power station are collected at t1+T, the actual power generation and light intensity of the photovoltaic power station are collected at t1+2T, the actual power generation and light intensity of the photovoltaic power station are collected at t1+3T, and so on, then t1, t1+T, t1+2T, t1+3T are multiple periodic points. It should be noted that the examples listed here are only illustrative and do not limit this embodiment.

[0066] Step S104, if an alarm message indicating that the photovoltaic power station needs to be cleaned is generated, the cleaning route and photovoltaic panel area of ​​the pre-set drone for cleaning the photovoltaic power station are obtained according to the geographic coordinates of the photovoltaic power station in the alarm message, and the drone is assigned to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0067] This embodiment can automatically allocate drones to clean the photovoltaic power station according to the cleaning routes and photovoltaic panel areas based on the efficiency of the photovoltaic power station, without the need for manual control, and can achieve the purpose of accurately and efficiently cleaning the distributed photovoltaic power station.

[0068] The present application provides a possible implementation method. After the single distributed photovoltaic power station in step S101 above is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station are pre-set, which may specifically include the following steps A1:

[0069] Step A1, after a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station are pre-set in the remote system;

[0070] Furthermore, the above step S102 collects the actual power generation power and light intensity of any one of the multiple distributed photovoltaic power stations according to a set period, which may specifically include the following steps A2:

[0071] Step A2: for any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

[0072] This embodiment uses a remote system to set the cleaning route, photovoltaic panel area, and geographical coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station. The remote system also collects the actual power generation power and light intensity of the photovoltaic power station according to the set period, without the need for human intervention, thereby improving the accuracy and efficiency of data processing.

[0073] In the embodiment of the present application, a possible implementation method is provided. In the above step S104, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station are obtained according to the geographical coordinates of the photovoltaic power station in the alarm information. Specifically, the remote system can obtain the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station according to the geographical coordinates of the photovoltaic power station in the alarm information. In this way, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station can be automatically obtained without manual intervention.

[0074] The embodiment of the present application provides a possible implementation method. The above step S103 monitors the actual power generation power and light intensity of multiple periodic points of the photovoltaic power station collected to determine whether to generate alarm information that requires cleaning of the photovoltaic power station. Specifically, the following steps B1 to B4 may be included:

[0075] Step B1, for any periodic point, according to the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at the periodic point, calculate the theoretical power generation power of the photovoltaic power station at the periodic point;

[0076] Step B2, calculating the power generation efficiency of the photovoltaic power station at the cycle point according to the theoretical power generation power and the actual power generation power of the photovoltaic power station at the cycle point;

[0077] Step B3, averaging the power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station to obtain an average power generation efficiency;

[0078] Step B4: if the average power generation efficiency is less than or equal to the preset threshold, it is determined to generate an alarm message indicating that the photovoltaic power station needs to be cleaned.

[0079] In this step, the preset threshold can be set according to actual needs, and can be a value between 0.75 and 0.85, for example, the preset threshold is 0.8, etc. This embodiment does not limit this.

[0080] In an embodiment of the present application, a possible implementation method is provided, which can calculate the theoretical power generation power of the photovoltaic power station at the cycle point according to the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at the cycle point by the following formula, including:

[0081] The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

[0082] This embodiment can automatically monitor the power generation efficiency of the photovoltaic power station and automatically generate a cleaning alarm when the efficiency drops to a certain threshold, so that the photovoltaic panels can be cleaned in time to maintain the power generation efficiency of the power station. This can not only reduce the need for manual inspections, but also improve the overall performance and reliability of the photovoltaic power station through preventive maintenance.

[0083] The present application provides a possible implementation method. In the above step S104, the drone is assigned to clean the photovoltaic power station according to the cleaning route and the photovoltaic panel area, which may specifically include the following steps C1:

[0084] Step C1, calling an idle drone, sending the drone's cleaning route and photovoltaic panel area when cleaning the photovoltaic power station to the drone, and the drone cleaning the photovoltaic power station according to the cleaning route and photovoltaic panel area after arriving at the photovoltaic power station.

[0085] This embodiment uses drones to automatically clean the photovoltaic power station, which improves the cleaning efficiency and the safety of the power station operation, while reducing maintenance costs and improving the overall power generation efficiency of the power station.

[0086] The above introduces Figure 1 There are various implementation methods for each link of the illustrated embodiment. The automatic cleaning method based on remote monitoring of distributed photovoltaic power stations in the embodiment of the present application will be further explained below through specific embodiments.

[0087] Figure 2 A flow chart of an automatic cleaning method based on remote monitoring of a distributed photovoltaic power station provided by another embodiment of the present application is shown. Figure 2 As shown, the automatic cleaning method based on remote monitoring of distributed photovoltaic power stations may include the following steps S201 to S207:

[0088] Step S201, after a single distributed photovoltaic power station is completed, the remote system pre-sets the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station for the drone to clean the photovoltaic power station.

[0089] Step S202: for any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

[0090] After a single distributed photovoltaic power station is completed, the photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station are determined. Here, the photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station can be directly obtained.

[0091] Step S203, for any periodic point, the theoretical power generation power of the photovoltaic power station at the periodic point is calculated according to the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at the periodic point.

[0092] In this step, the theoretical power generation power of the photovoltaic power station at this cycle point can be calculated by the following formula according to the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at this cycle point, including:

[0093] The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

[0094] Step S204, calculating the power generation efficiency of the photovoltaic power station at the cycle point according to the theoretical power generation power and the actual power generation power of the photovoltaic power station at the cycle point.

[0095] In this step, the power generation efficiency of the photovoltaic power station at this cycle point = actual power generation / theoretical power generation.

[0096] Step S205 , averaging the power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station to obtain an average power generation efficiency.

[0097] Step S206: if the average power generation efficiency is less than or equal to a preset threshold, it is determined to generate an alarm message indicating that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographic coordinates of the photovoltaic power station.

[0098] In this step, the preset threshold can be set according to actual needs, and can be a value between 0.75 and 0.85, for example, the preset threshold is 0.8, etc. This embodiment does not limit this.

[0099] If the average power generation efficiency is greater than a preset threshold, no alarm information indicating that the photovoltaic power station needs to be cleaned may be generated.

[0100] Step S207, if an alarm message indicating that the photovoltaic power station needs to be cleaned is generated, the remote system obtains the pre-set cleaning route and photovoltaic panel area for the drone to clean the photovoltaic power station based on the geographic coordinates of the photovoltaic power station in the alarm message, and allocates the drone to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0101] In this step, when allocating drones to clean the photovoltaic power station according to the cleaning route and the area of ​​the photovoltaic panels, the remote system can call the drones in an idle state, send the cleaning route and the area of ​​the photovoltaic panels when the drones clean the photovoltaic power station to the drones, and after the drones arrive at the photovoltaic power station, they clean the photovoltaic power station according to the cleaning route and the area of ​​the photovoltaic panels.

[0102] In this embodiment, the remote system can automatically allocate drones to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area based on the efficiency of the photovoltaic power station, without the need for manual control, and can achieve the purpose of accurately and efficiently cleaning the distributed photovoltaic power station.

[0103] It should be noted that the size of the sequence number of each step in the above embodiment does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application. In practical applications, all the above possible implementation methods can be combined in any way to form possible embodiments of the present application, which will not be described one by one here.

[0104] Based on the automatic cleaning method based on remote monitoring of distributed photovoltaic power stations provided in the above embodiments, based on the same inventive concept, the embodiments of the present application also provide an automatic cleaning system based on remote monitoring of distributed photovoltaic power stations.

[0105] Figure 3 is a structural diagram of an automatic cleaning system based on remote monitoring of distributed photovoltaic power stations provided in an embodiment of the present application. Figure 3 As shown, the automatic cleaning system based on remote monitoring of distributed photovoltaic power stations may specifically include a setting unit 310 , a collection unit 320 , a determination unit 330 and a cleaning unit 340 .

[0106] The setting unit 310 is used to pre-set the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station after the single distributed photovoltaic power station is completed;

[0107] The collection unit 320 is used to collect the actual power generation power and light intensity of any one of the multiple distributed photovoltaic power stations according to a set period;

[0108] The determination unit 330 is used to monitor the actual power generation power and light intensity of the collected photovoltaic power station at multiple periodic points to determine whether to generate an alarm message that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographical coordinates of the photovoltaic power station;

[0109] The cleaning unit 340 is used to obtain the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station according to the geographical coordinates of the photovoltaic power station in the alarm information if an alarm information indicating that the photovoltaic power station needs to be cleaned is generated, and allocate the drone to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0110] A possible implementation method is provided in an embodiment of the present application, wherein the setting unit 310 is further configured to:

[0111] After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set in the remote system.

[0112] The acquisition unit 320 is also used for:

[0113] For any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

[0114] A possible implementation method is provided in an embodiment of the present application, wherein the cleaning unit 340 is further used for:

[0115] The remote system obtains the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station based on the geographic coordinates of the photovoltaic power station in the alarm information.

[0116] A possible implementation manner is provided in an embodiment of the present application, wherein the determining unit 330 is further configured to:

[0117] For any periodic point, the theoretical power generation of the photovoltaic power station at that periodic point is calculated based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at that periodic point;

[0118] Calculate the power generation efficiency of the photovoltaic power station at this cycle point based on the theoretical power generation power and actual power generation power of the photovoltaic power station at this cycle point;

[0119] The power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station is averaged to obtain the average power generation efficiency;

[0120] If the average power generation efficiency is less than or equal to the preset threshold, it is determined that an alarm message indicating that the photovoltaic power station needs to be cleaned is generated.

[0121] A possible implementation manner is provided in an embodiment of the present application, wherein the determining unit 330 is further configured to:

[0122] The theoretical power generation of the photovoltaic power station at this cycle point is calculated by the following formula based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at this cycle point, including:

[0123] The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

[0124] A possible implementation method is provided in an embodiment of the present application, wherein the preset threshold is a value between 0.75 and 0.85.

[0125] A possible implementation method is provided in an embodiment of the present application, wherein the cleaning unit 340 is further used for:

[0126] The idle drone is called, and the cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station are sent to the drone. After the drone arrives at the photovoltaic power station, it cleans the photovoltaic power station according to the cleaning route and photovoltaic panel area.

[0127] Based on the same inventive concept, an embodiment of the present application also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute any one of the above-mentioned embodiments of the automatic cleaning method based on remote monitoring of distributed photovoltaic power stations.

[0128] Based on the same inventive concept, an embodiment of the present application further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute any one of the above-mentioned embodiments of the automatic cleaning method based on remote monitoring of distributed photovoltaic power stations when running.

[0129] Those skilled in the art can clearly understand that the specific working processes of the systems, devices, and modules described above can refer to the corresponding processes in the aforementioned method embodiments, and for the sake of brevity, they are not further described here.

[0130] Those skilled in the art can understand that the technical solution of the present application can be essentially or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, which includes a number of program instructions, so that an electronic device (such as a personal computer, a server, or a network device, etc.) executes all or part of the steps of the method described in each embodiment of the present application when running the program instructions. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0131] Alternatively, all or part of the steps of implementing the aforementioned method embodiments may be accomplished by hardware associated with program instructions (such as electronic devices such as personal computers, servers, or network devices), and the program instructions may be stored in a computer-readable storage medium. When the program instructions are executed by a processor of an electronic device, the electronic device executes all or part of the steps of the methods described in the embodiments of the present application.

[0132] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that within the spirit and principles of the present application, they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not deviate from the protection scope of the present application.

Claims

1. An automatic cleaning method based on remote monitoring of distributed photovoltaic power stations, characterized in that: The method comprises: After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographical coordinates of the photovoltaic power station are pre-set when the drone cleans the photovoltaic power station; For any photovoltaic power station among multiple distributed photovoltaic power stations, the actual power generation power and light intensity of the photovoltaic power station are collected according to the set period; Monitor the actual power generation and light intensity of multiple periodic points of the photovoltaic power station to determine whether to generate an alarm message indicating that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographical coordinates of the photovoltaic power station; If an alarm message is generated indicating that the photovoltaic power station needs to be cleaned, the pre-set cleaning route and photovoltaic panel area for the drone to clean the photovoltaic power station are obtained based on the geographic coordinates of the photovoltaic power station in the alarm message, and the drone is assigned to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

2. The method according to claim 1, characterized in that After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set for the drone to clean the photovoltaic power station, including: After a single distributed photovoltaic power station is completed, the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station are pre-set in the remote system. For any of the multiple distributed photovoltaic power stations, the actual power generation and light intensity of the photovoltaic power station are collected according to the set period, including: For any one of the multiple distributed photovoltaic power stations, the remote system collects the actual power generation power and light intensity of the photovoltaic power station according to a set period.

3. The method according to claim 2, characterized in that According to the geographic coordinates of the photovoltaic power station in the alarm information, the cleaning route and photovoltaic panel area of ​​the pre-set drone when cleaning the photovoltaic power station are obtained, including: The remote system obtains the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station based on the geographic coordinates of the photovoltaic power station in the alarm information.

4. The method according to any one of claims 1 to 3, characterized in that Monitor the actual power generation and light intensity of the photovoltaic power station at multiple periodic points to determine whether to generate alarm information that requires cleaning of the photovoltaic power station, including: For any periodic point, the theoretical power generation of the photovoltaic power station at that periodic point is calculated based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at that periodic point; Calculate the power generation efficiency of the photovoltaic power station at this cycle point based on the theoretical power generation power and actual power generation power of the photovoltaic power station at this cycle point; The power generation efficiency of at least two periodic points during the period between sunrise and sunset of the photovoltaic power station is averaged to obtain the average power generation efficiency; If the average power generation efficiency is less than or equal to the preset threshold, it is determined that an alarm message indicating that the photovoltaic power station needs to be cleaned is generated.

5. The method according to claim 4, characterized in that The theoretical power generation of the photovoltaic power station at this cycle point is calculated by the following formula based on the collected light intensity, photovoltaic panel area and photovoltaic panel conversion efficiency of the photovoltaic power station at this cycle point, including: The theoretical power generation of the photovoltaic power station at this cycle point = the light intensity of the photovoltaic power station at this cycle point × the area of ​​the photovoltaic panel × the conversion efficiency of the photovoltaic panel.

6. The method according to claim 4, characterized in that The preset threshold is a value between 0.75 and 0.

85.

7. The method according to any one of claims 1 to 3, characterized in that Assign drones to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area, including: The idle drone is called, and the cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station are sent to the drone. After the drone arrives at the photovoltaic power station, it cleans the photovoltaic power station according to the cleaning route and photovoltaic panel area.

8. An automatic cleaning system based on remote monitoring of distributed photovoltaic power stations, characterized in that: The system comprises: The setting unit is used to pre-set the cleaning route, photovoltaic panel area, and geographic coordinates of the photovoltaic power station when the drone cleans the photovoltaic power station after the completion of a single distributed photovoltaic power station; A collection unit is used to collect the actual power generation power and light intensity of any photovoltaic power station among the multiple distributed photovoltaic power stations according to a set period; A determination unit, used to monitor the actual power generation power and light intensity of multiple periodic points of the photovoltaic power station collected, and determine whether to generate an alarm message that the photovoltaic power station needs to be cleaned; wherein the alarm message includes the geographical coordinates of the photovoltaic power station; The cleaning unit is used to obtain the pre-set cleaning route and photovoltaic panel area of ​​the drone when cleaning the photovoltaic power station according to the geographical coordinates of the photovoltaic power station in the alarm information if an alarm information indicating that the photovoltaic power station needs to be cleaned is generated, and allocate the drone to clean the photovoltaic power station according to the cleaning route and photovoltaic panel area.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the automatic cleaning method based on remote monitoring of a distributed photovoltaic power station as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the automatic cleaning method based on remote monitoring of a distributed photovoltaic power station according to any one of claims 1 to 7 when running.

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