A digital twin constellation intelligent management system and method

Abstract

This invention relates to the field of intelligent control technology, specifically to a digital twin constellation intelligent management system and method. It includes an operational data acquisition unit, an operational impact analysis unit connected to its output, and an energy status management unit connected to its output. The energy status management unit controls the subsequent maintenance and management time and extent of the photovoltaic panels based on the impact of weather on the panels. This invention assesses whether weather conditions can remove deposits from the photovoltaic panel surface when the panels are affected by external environmental factors, and determines the subsequent cleaning and management time and extent based on the degree of removal. It analyzes the impact of external environmental factors on photovoltaic power plants during power generation and provides management data recommendations based on the data, enabling convenient energy management for photovoltaic power plants.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and more specifically, to a digital twin constellation intelligent management system and method. Background Technology

[0002] When a photovoltaic (PV) power station generates electricity, it uses a cluster of photovoltaic panels to absorb sunlight and convert heat energy into electrical energy. Currently, PV power stations are usually installed outdoors in remote areas, which leads to dust accumulation on the panels during use. When dust is present, the amount of solar energy absorbed by the panels is reduced. Therefore, the panels are usually cleaned at regular intervals. However, rain can delay the need for manual cleaning. But it is currently unknown whether rain can remove foreign objects such as bird droppings from the panels.

[0003] Meanwhile, even after the rain has cleaned the photovoltaic panels, the continued presence of foreign objects raises questions about whether the existing cleaning time for the photovoltaic panels needs to be optimized or improved, and there is currently no reasonable data to suggest an improvement. Summary of the Invention

[0004] The purpose of this invention is to provide a digital twin constellation intelligent management system and method to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, one objective of this invention is to provide a digital twin constellation intelligent management system, including an operational data acquisition unit for collecting weather data, photovoltaic panel operation data, and photovoltaic panel attachment data. The operational data acquisition unit is further used to simulate the situation when attachments detach due to weather conditions and to generate a judgment interval based on the weather data at the time of attachment detachment. The output of the operational data acquisition unit is connected to an operational impact analysis unit, which analyzes and judges the condition of the attachments on the photovoltaic panel based on the collected weather data, and judges the subsequent operational status of the photovoltaic panel based on the condition of the attachments. The output of the operational impact analysis unit is connected to an energy status management unit, which controls the subsequent maintenance and management time and extent of the photovoltaic panel based on the impact of weather on the photovoltaic panel.

[0006] As a further improvement to this technical solution, the operation data acquisition unit includes an operation data acquisition module, an abnormal attachment acquisition module, and a weather data acquisition module. The output end of the abnormal attachment acquisition module is connected to an attachment detachment simulation module for simulating the impact of weather data on the attached object.

[0007] As a further improvement to this technical solution, the weather conditions simulated by the attachment / detachment simulation module when simulating the impact of weather data on the attached object include:

[0008] Rainfall amount is small (less than 10mm), duration, and whether the attached material has detached;

[0009] Rainfall amount (10-25mm), duration, and whether the attached material has detached;

[0010] Heavy rainfall (over 25mm), duration of rainfall, and whether the attached material has detached;

[0011] Low rainfall, low wind (3.4-5.4 m / s), duration of rainfall and wind, and whether the attached material has detached;

[0012] Rainfall is light, wind speed is moderate (5.5-6.5 m / s), duration of rainfall and wind speed, and whether the attached material has detached;

[0013] The rainfall was small, the wind was large (above 6.5 m / s), the duration of the rainfall and wind, and whether the attached material had detached.

[0014] Rainfall volume, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0015] Rainfall, wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0016] During rainfall, wind volume is high; duration of rainfall and wind volume; whether the attached material has detached.

[0017] Heavy rainfall, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0018] Heavy rainfall, moderate wind, duration of rainfall and wind, and whether the attached material has detached;

[0019] Heavy rainfall, strong winds, duration of rainfall and wind, and whether the attached material has detached.

[0020] As a further improvement to this technical solution, the operation impact analysis unit includes a meteorological analysis and judgment module for determining future weather conditions based on weather data collected by the weather data acquisition module, and analyzing the impact of future weather conditions on photovoltaic panel attachments. The output end of the meteorological analysis and judgment module is connected to an operation comparison and analysis module, which is used to determine the operation status of the photovoltaic panel based on the degree of removal of attachments.

[0021] As a further improvement to this technical solution, the energy status management unit includes a cleaning time control module for controlling the subsequent cleaning time of the photovoltaic panels based on the degree of influence of weather conditions on the attachments on the photovoltaic panels. The output of the cleaning time control module is connected to a cleaning degree control module for controlling the degree of cleaning of the photovoltaic panels based on the degree of influence of the attachments on the photovoltaic panels.

[0022] A second objective of this invention is to provide a management method generated by the digital twin constellation intelligent management system according to any one of the above-mentioned methods, comprising the following steps:

[0023] S1. Collect weather data, photovoltaic panel operation data, and photovoltaic panel attachment data, and simulate the situation when the attachments are affected by the weather and detach. Generate a judgment interval based on the weather data when the attachments detach.

[0024] S2. Based on weather data, determine the condition of the attachment on the photovoltaic panel under the weather conditions by judging the judgment interval, and judge the subsequent operation of the photovoltaic panel based on the condition of the attachment;

[0025] S3. Based on the impact of weather on photovoltaic panels, control the timing and extent of subsequent maintenance and management of photovoltaic panels.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0027] In this digital twin constellation intelligent management system and method, the cleaning status of photovoltaic panels is simulated by simulating weather conditions. Based on the simulated conditions, a judgment interval is formed. The judgment interval is used to assess whether the weather conditions can remove the deposits on the surface of the photovoltaic panels when they are affected by deposits. Based on the degree to which the deposits are removed, the subsequent cleaning control time and degree of the photovoltaic panels are determined. This provides an analysis of the impact of the external environment on the current photovoltaic power generation process, and gives control data opinions on the photovoltaic panels under the current conditions based on the data information, enabling convenient energy management and processing of photovoltaic power plants. Attached Figure Description

[0028] Figure 1 This is an overall module block diagram of the present invention.

[0029] The meanings of the labels in the diagram are as follows:

[0030] 10. Run the data acquisition unit;

[0031] 101. Operational data acquisition module; 102. Abnormal attachment acquisition module; 103. Weather data acquisition module; 104. Attachment and detachment simulation module;

[0032] 20. Operational Impact Analysis Unit;

[0033] 201. Meteorological analysis and judgment module; 202. Operational comparison and analysis module;

[0034] 30. Energy Status Management Unit;

[0035] 301. Cleaning time control module; 302. Cleaning degree control module. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Example 1

[0038] Please see Figure 1 As shown, this embodiment provides a digital twin constellation intelligent management system, including an operation data acquisition unit 10 for collecting weather data, photovoltaic panel operation data, and photovoltaic panel attachment data. The operation data acquisition unit 10 is also used to simulate the situation when the attachment is affected by the weather and detaches, and to generate a judgment interval based on the weather data at the time of attachment detachment. The output end of the operation data acquisition unit 10 is connected to an operation impact analysis unit 20. The operation impact analysis unit 20 is used to analyze and judge the status of the attachment on the photovoltaic panel based on the collected weather data, and to judge the subsequent operation status of the photovoltaic panel based on the status of the attachment. The output end of the operation impact analysis unit 20 is connected to an energy status management unit 30. The energy status management unit 30 is used to control the subsequent maintenance and management time and degree of the photovoltaic panel based on the impact of the weather on the photovoltaic panel. The data acquisition unit 10 collects weather data and data on attachments on the photovoltaic panel. Attachment data refers to environmental factors that affect the photovoltaic panel's exposure to sunlight, such as bird droppings. Bird droppings are present because the photovoltaic panel is used outdoors and it is inevitable that some bird droppings will be present. When it is determined that there are bird droppings on the photovoltaic panel that affect sunlight, the data acquisition unit 10 creates a simulation system to build a simulation scenario based on the photovoltaic panel, bird droppings, and weather conditions. By simulating rain or wind and rain, the system determines whether the weather conditions can remove the bird droppings on the photovoltaic panel based on different rainfall amounts and wind speeds. When it is determined that the rainfall level, rainfall time, or wind speed can remove the attached bird droppings, a judgment interval is generated.

[0039] The impact analysis unit 20 determines the rainfall or wind level in the subsequent weather based on the collected subsequent weather data. When the determined rainfall, rainfall time, or wind level is within the judgment range, it is determined that the future weather can remove the attachments on the photovoltaic panel. Therefore, the operating data of the photovoltaic panel at this time can be re-acquired, and the previously acquired operating data can be compared with the currently acquired operating data to analyze whether the operating status of the photovoltaic panel is approaching the rated data range. The rated data range refers to the data range of the photovoltaic panel under normal operating conditions, realizing data analysis of the operating status of the photovoltaic panel. At the same time, this solution coordinates the management of the photovoltaic panel with the weather conditions to save manpower for cleaning and management of the photovoltaic panel.

[0040] After the aforementioned rainfall or wind conditions clean the photovoltaic panels, the degree of removal of adhering substances on the panels is used to determine whether the adhering substances have been removed. This degree of removal is determined based on the photovoltaic panel's operating data. When the operating data is within the normal range, it indicates that the adhering substances have been completely removed; conversely, it indicates that the adhering substances have not been completely removed. Whether the adhering substances are completely or not completely removed, the cleaning time for the photovoltaic panels during this weather event is extended according to the cleaning time of the current weather event. Specifically, when the adhering substances are completely removed, the next cleaning time for the photovoltaic panels is set according to the regular cleaning interval for photovoltaic panels. When the adhering substances are not completely removed and there is subsequent rainfall or wind, the operating data of the photovoltaic panels is analyzed again after the weather stops raining or winding to determine whether the adhering substances still exist. If the adhering substances still exist, the median value of the interval between the next cleaning time for the photovoltaic panels is determined. In this way, the energy of the photovoltaic panels can be conveniently managed and processed, while significantly saving labor costs.

[0041] Further elaboration on the above scheme:

[0042] The operational data acquisition unit 10 includes an operational data acquisition module 101, an abnormal attachment acquisition module 102, and a weather data acquisition module 103. The output of the abnormal attachment acquisition module 102 is connected to an attachment detachment simulation module 104, which simulates the impact of weather data on the attachments. The operational data acquisition module 101 acquires data by arranging multiple sensor nodes in the photovoltaic power plant. Each node includes a temperature sensor, a light sensor, and a current sensor. These multiple sensor nodes are connected to form a network via wireless communication, thus transmitting the operational data of the photovoltaic panel to the management system. The abnormal attachment acquisition module 102 acquires images of the attachments on the photovoltaic panel using drone equipment for image capture and analysis. The acquired images are then transmitted to the management system for analysis, enabling convenient data acquisition. The weather data acquisition module 103 directly acquires weather data released by the meteorological bureau and transmits it to the management system. The attachment detachment simulation module 104 analyzes the impact of virtual weather data, specifically different amounts of rainfall and wind, on the photovoltaic panel in the management system, determining under what weather conditions the attachments will detach from the photovoltaic panel.

[0043] When simulating the impact of weather data on the attached material, the attachment / detachment simulation module 104 simulates the following weather conditions:

[0044] Rainfall amount is small (less than 10mm), duration, and whether the attached material has detached;

[0045] Rainfall amount (10-25mm), duration, and whether the attached material has detached;

[0046] Heavy rainfall (over 25mm), duration of rainfall, and whether the attached material has detached;

[0047] Low rainfall, low wind (3.4-5.4 m / s), duration of rainfall and wind, and whether the attached material has detached;

[0048] Rainfall is light, wind speed is moderate (5.5-6.5 m / s), duration of rainfall and wind speed, and whether the attached material has detached;

[0049] The rainfall was small, the wind was large (above 6.5 m / s), the duration of the rainfall and wind, and whether the attached material had detached.

[0050] Rainfall volume, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0051] Rainfall, wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0052] During rainfall, wind volume is high; duration of rainfall and wind volume; whether the attached material has detached.

[0053] Heavy rainfall, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached;

[0054] Heavy rainfall, moderate wind, duration of rainfall and wind, and whether the attached material has detached;

[0055] Heavy rainfall, strong winds, and the duration of rainfall and wind, along with whether the attached materials have detached, are factors to consider. Therefore, the weather conditions simulated in the management system are used to determine when the attached materials are in a detached state. The actual detachment status of the attached materials is used to generate a judgment interval, which is then used to determine the detachment of the attached materials on the photovoltaic panels in the subsequent actual environment.

[0056] The operational impact analysis unit 20 includes a meteorological analysis and judgment module 201 for determining future weather conditions based on weather data collected by the weather data acquisition module 103 and analyzing the impact of these future weather conditions on the photovoltaic panel attachments. The output of the meteorological analysis and judgment module 201 is connected to an operational comparison and analysis module 202, which determines the operational status of the photovoltaic panel based on the degree of attachment removal. Based on the weather data collected by the weather data acquisition module 103, the meteorological analysis and judgment module 201 substitutes this weather data into the aforementioned judgment interval and determines whether the weather data can remove the attachments on the photovoltaic panel. When the judgment interval determines that the weather conditions can remove the attachments, it indicates that the photovoltaic panel is operational. If the deposits on the photovoltaic panel are completely removed, the subsequent electrical energy generated by the panel will be within the normal range. Conversely, if the deposits cannot be completely removed, the operation of the photovoltaic panel will be affected by their continued influence (it cannot fully receive sunlight), and the electrical energy generated by the panel will decrease. The decrease in electrical energy is calculated in equal measure to the area of ​​the photovoltaic panel that is blocked (area is proportional to power generation). Therefore, the decrease in electrical energy has a definite numerical range. In the above, the specific rainfall, wind volume, and duration required for the deposits to be removed can be determined by simulating weather conditions. Therefore, the current weather data can be compared with these conditions. The comparison is specifically implemented through a comparison algorithm, the steps of which are as follows:

[0057] Step 1: Set the rainfall in the collected weather data as X, the rainfall in the judgment interval as T, and the wind volume in the collected weather data as W, and the wind volume in the judgment interval as W.

[0058] Step 2: Compare the rainfall X in the collected weather data with the rainfall T in the judgment interval, and compare the wind volume W in the collected weather data with the wind volume Q in the judgment interval;

[0059] Step 3: When there is only rainfall, and X If the residue can be removed, it is determined that it cannot be completely removed; otherwise, it is determined that it cannot be completely removed.

[0060] Step 4: When there is rain and wind, and X With W If the value is Q, it is determined that the attached material can be removed; otherwise, it is determined that it cannot be completely removed.

[0061] The energy status management unit 30 includes a cleaning time control module 301 for controlling the subsequent cleaning time of photovoltaic panels based on the degree of impact of weather conditions on the attachments on the photovoltaic panels. The output of the cleaning time control module 301 is connected to a cleaning degree control module 302 for controlling the degree of cleaning of the photovoltaic panels based on the degree of impact of the attachments on the photovoltaic panels. The module determines the degree to which the attachments on the photovoltaic panels are removed under the weather conditions. When the attachments on the photovoltaic panels are completely removed under the weather conditions, it means that the photovoltaic panels have been cleaned under the influence of rain and wind. Therefore, it means that the photovoltaic panels are relatively clean at this time. The next cleaning time of the photovoltaic panels is determined according to the regular interval of cleaning the photovoltaic panels. For example, if the regular interval is 15 days, taking the cleaning of the photovoltaic panels under the current weather conditions as the base point, if the date of cleaning the photovoltaic panels this time is July 1, the next cleaning time of the photovoltaic panels will be July 16, and so on.

[0062] If the deposits on the photovoltaic panel are not completely removed under the weather conditions, it indicates that the photovoltaic panel was not completely cleaned under the influence of rain and wind. Subsequent weather data can then be analyzed to continuously determine whether the deposits can be cleaned. When there is no rain or wind in the subsequent weather, the next cleaning time is generated. The next cleaning time is the median of the interval time. The cleaning degree control module 302 sets the cleaning degree of the photovoltaic panel to level two. Level two refers to the degree of cleaning required when the photovoltaic panel has been washed by rain and the deposits have not been completely removed. The focus is on cleaning the deposits, and other parts of the photovoltaic panel are cleaned less frequently (focused cleaning means cleaning more than 10 times in the same position, and less frequent cleaning means cleaning less than 10 times in the same position).

[0063] The cleaning level is divided into Level 1 and Level 2. Level 1 refers to the cleaning level of the photovoltaic panels at regular intervals, which usually requires a complete cleaning of the photovoltaic panels. Therefore, the subsequent cleaning level can be reasonably planned according to the actual condition of the photovoltaic panels.

[0064] Secondly, regarding the aforementioned factor that the weather did not completely remove the deposits, the median time interval is chosen because: the weather, such as rain or wind, has already cleaned the photovoltaic panels once, reducing the degree of dirtiness (affected by external dust and deposits) and minimizing the impact on sunlight absorption. After a cleaning, the deposits are usually shaken by collisions or impacts, and the rainwater accelerates the dissolution of the deposits. Therefore, if the deposits are not removed under such weather conditions, extending the time allows for a natural shedding period (median time). When the deposits fall off automatically during this period, there is no need for manual cleaning of the photovoltaic panels. If the deposits do not fall off automatically during this period, manual cleaning of the photovoltaic panels can be performed after the period (median time).

[0065] A second objective of this invention is to provide a management method generated by a digital twin constellation intelligent management system according to any one of the above claims, comprising the following steps:

[0066] S1. Collect weather data, photovoltaic panel operation data, and photovoltaic panel attachment data, and simulate the situation when the attachments are affected by the weather and detach. Generate a judgment interval based on the weather data when the attachments detach.

[0067] S2. Based on weather data, determine the condition of the attachment on the photovoltaic panel under the weather conditions by judging the judgment interval, and judge the subsequent operation of the photovoltaic panel based on the condition of the attachment;

[0068] S3. Based on the impact of weather on photovoltaic panels, control the timing and extent of subsequent maintenance and management of photovoltaic panels.

[0069] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A digital twin constellation intelligent management system, characterized in that: The system includes an operation data acquisition unit (10) for collecting weather data, photovoltaic panel operation data, and photovoltaic panel attachment data. The operation data acquisition unit (10) is also used to simulate the situation when the attachment is affected by the weather and detaches, and to generate a judgment interval based on the weather data when the attachment detaches. The output end of the operation data acquisition unit (10) is connected to an operation impact analysis unit (20). The operation impact analysis unit (20) is used to analyze and judge the status of the attachment on the photovoltaic panel based on the collected weather data, and to judge the subsequent operation status of the photovoltaic panel based on the status of the attachment. The output end of the operation impact analysis unit (20) is connected to an energy status management unit (30). The energy status management unit (30) is used to control the subsequent maintenance and management time and degree of the photovoltaic panel based on the impact of the weather on the photovoltaic panel.

2. The digital twin constellation intelligent management system according to claim 1, characterized in that: The operation data acquisition unit (10) includes an operation data acquisition module (101), an abnormal attachment acquisition module (102), and a weather data acquisition module (103). The output end of the abnormal attachment acquisition module (102) is connected to an attachment detachment simulation module (104) for simulating the impact of weather data on the attached object.

3. The digital twin constellation intelligent management system according to claim 2, characterized in that: When simulating the impact of weather data on the attached material, the attachment and detachment simulation module (104) simulates the weather conditions including: Rainfall amount is small (less than 10mm), duration, and whether the attached material has detached; Rainfall amount (10-25mm), duration, and whether the attached material has detached; Heavy rainfall (over 25mm), duration of rainfall, and whether the attached material has detached; Low rainfall, low wind (3.4-5.4 m / s), duration of rainfall and wind, and whether the attached material has detached; Rainfall is light, wind speed is moderate (5.5-6.5 m / s), duration of rainfall and wind speed, and whether the attached material has detached; The rainfall was small, the wind was large (above 6.5 m / s), the duration of the rainfall and wind, and whether the attached material had detached. Rainfall volume, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached; Rainfall, wind volume, duration of rainfall and wind volume, and whether the attached material has detached; During rainfall, wind volume is high; duration of rainfall and wind volume; whether the attached material has detached. Heavy rainfall, low wind volume, duration of rainfall and wind volume, and whether the attached material has detached; Heavy rainfall, moderate wind, duration of rainfall and wind, and whether the attached material has detached; Heavy rainfall, strong winds, duration of rainfall and wind, and whether the attached material has detached.

4. The digital twin constellation intelligent management system according to claim 1, characterized in that: The operational impact analysis unit (20) includes a meteorological analysis and judgment module (201) for determining the future weather conditions based on the weather data collected by the weather data acquisition module (103) and analyzing the impact of the future weather conditions on the photovoltaic panel attachments. The output end of the meteorological analysis and judgment module (201) is connected to an operational comparison and analysis module (202), which is used to determine the operational status of the photovoltaic panel based on the degree of removal of the attachments.

5. The digital twin constellation intelligent management system according to claim 1, characterized in that: The energy status management unit (30) includes a cleaning time control module (301) for controlling the subsequent photovoltaic panel cleaning time based on the degree of influence of weather conditions on photovoltaic panel attachments. The output of the cleaning time control module (301) is connected to a cleaning degree control module (302) for controlling the degree of cleaning of photovoltaic panels based on the degree of influence of photovoltaic panel attachments.

6. A management method generated by the digital twin constellation intelligent management system according to any one of claims 3-5, characterized in that: Includes the following steps: S1. Collect weather data, photovoltaic panel operation data, and photovoltaic panel attachment data, and simulate the situation when the attachments are affected by the weather and detach. Generate a judgment interval based on the weather data when the attachments detach. S2. Based on weather data, determine the condition of the attachment on the photovoltaic panel under the weather conditions by judging the judgment interval, and judge the subsequent operation of the photovoltaic panel based on the condition of the attachment; S3. Based on the impact of weather on photovoltaic panels, control the timing and extent of subsequent maintenance and management of photovoltaic panels.

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