Photovoltaic access unit design method and system

Abstract

The present invention provides a photovoltaic access unit design method and system, belonging to the field of data processing technology. The method includes: controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets preset collection conditions for photovoltaic collection based on a first preset time period; and, in response to determining that the mobile photovoltaic terminal is fully loaded based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point associated with the photovoltaic point for multi-terminal power supply; controlling each mobile photovoltaic terminal to move to a lighting point that meets preset lighting conditions for lighting operation based on a second preset time period; and updating the lighting point upon determining that the lighting point corresponds to a flow attribute. The present invention at least improves photovoltaic collection efficiency.

Description

Technical Field

[0001] The present invention relates to data processing technology, and in particular to a photovoltaic access unit design method and system. Background Art

[0002] With the growing global demand for clean energy, photovoltaic power generation, as a key form of renewable energy, is playing an increasingly important role in electricity supply. In remote areas, outdoor operations, and temporary power needs, the lack of stable grid coverage or the high cost of grid construction limits the application of traditional fixed photovoltaic power plants. Mobile photovoltaic terminals, however, offer a flexible and convenient photovoltaic power generation solution that can be quickly deployed to different locations based on actual needs, providing power support for various electrical devices. Furthermore, at night or in low-light conditions, mobile photovoltaic terminals can be combined with energy storage devices to provide lighting services for specific areas, further expanding their scope of application. However, in practical applications, how to efficiently and accurately control the movement and positioning of mobile photovoltaic terminals to maximize the utilization of photovoltaic energy and achieve precise coverage of lighting services has become a key issue that needs to be addressed.

[0003] At present, the control technology for mobile photovoltaic terminals mainly focuses on simple path planning and timed movement. Some existing systems use preset movement paths to enable mobile photovoltaic terminals to move along established routes within fixed time intervals to cover different photovoltaic points or lighting points. However, this method lacks adaptability to real-time environmental conditions and cannot be flexibly adjusted according to dynamic factors such as light intensity and electricity demand, resulting in limited photovoltaic collection efficiency and lighting service quality. In addition, existing technologies have deficiencies in power supply strategies when handling mobile photovoltaic terminals at full load, and are often unable to distribute excess electricity to other areas in need of power in a timely and effective manner, resulting in energy waste. At the same time, in terms of lighting point management, existing technologies have difficulty in accurately identifying the flow properties of lighting points, resulting in low resource utilization and an inability to meet dynamically changing lighting needs.

[0004] In response to the above problems, existing mobile photovoltaic terminal control technology has the following key technical bottlenecks in positioning and scheduling: First, it lacks the ability to accurately locate and control movement based on real-time environmental conditions, making it impossible to dynamically adjust the collection position of the mobile photovoltaic terminal based on factors such as light intensity and weather changes; second, it lacks an efficient full-load state processing mechanism, making it impossible to quickly and accurately locate power supply points with point-to-point correlation when the mobile photovoltaic terminal is fully loaded, thereby achieving multi-terminal power supply and improving energy utilization efficiency; third, it lacks the ability to accurately identify and dynamically update the flow properties of lighting points, resulting in the inability of lighting services to accurately cover the target area and low resource utilization. Therefore, developing a technical solution that can accurately control the movement of mobile photovoltaic terminals to photovoltaic points or lighting points that meet preset conditions based on a preset time period, and achieve efficient power supply scheduling and dynamic updating of lighting points under full load conditions, is of great significance to improving the overall performance and application value of mobile photovoltaic terminals. Summary of the Invention

[0005] Based on the above problems, the present invention is proposed to provide a photovoltaic access unit design method and system that overcomes the above problems or at least partially solves the above problems.

[0006] According to one aspect of the present invention, a photovoltaic access unit design method is provided, comprising the following steps:

[0007] Controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets a preset collection condition based on a first preset time period to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point that has a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply;

[0008] Based on the second preset time period, each mobile photovoltaic terminal is controlled to move to a lighting point that meets the preset lighting conditions to perform lighting operations, and the lighting point is updated when it is determined that the lighting point corresponds to a flow attribute.

[0009] Optionally, in the method according to the present invention, controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets a preset collection condition to perform photovoltaic collection based on a first preset time period includes:

[0010] In response to the current moment being the same as the start moment of the first preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of the corresponding associated area based on a first preset altitude to acquire a first acquired image of the corresponding associated area;

[0011] Binarization is performed on the first collected image to obtain binarized images including each illuminated pixel point corresponding to the illuminated pixel value and each noise pixel point corresponding to the second pixel value;

[0012] Connect the adjacent illuminated pixels and determine the photovoltaic points that meet the preset acquisition conditions based on the obtained illuminated areas;

[0013] Control the mobile photovoltaic terminal associated with each collection drone to move to the photovoltaic point that meets the preset collection conditions for photovoltaic collection.

[0014] Optionally, in the method according to the present invention, determining photovoltaic points that meet preset collection conditions based on the obtained illumination areas includes:

[0015] Determine a region contour corresponding to each obtained illumination region, and amplify the region contour based on a preset amplification factor to obtain a buffer contour;

[0016] determining a region portion located in each buffer contour as a buffer region based on the first acquired image;

[0017] performing image recognition on the buffer region, and determining the number of elements corresponding to all human body elements indicating different moving human bodies located in each buffer region based on the recognition result;

[0018] Obtaining the area corresponding to each illuminated area, and determining a first evaluation value and a second evaluation value of the corresponding quantity dimension and area dimension based on the number of elements and the area corresponding to the same illuminated area;

[0019] Performing a weighted sum calculation on the first evaluation value and the second evaluation value to obtain a regional evaluation value corresponding to each illumination area;

[0020] The center point of the illumination area corresponding to the largest regional evaluation value of the first acquisition image is determined as the photovoltaic point position that meets the preset acquisition conditions.

[0021] Optionally, in the method according to the present invention, controlling a mobile photovoltaic terminal associated with each collection drone to move to a photovoltaic point that meets preset collection conditions to perform photovoltaic collection includes:

[0022] In response to a mobile photovoltaic terminal associated with each collection drone being controlled to move to a photovoltaic point that meets a preset collection condition, the photovoltaic components included in the mobile photovoltaic terminal are triggered to switch from a converged state to an extended state, and the collection drone is controlled to perform image collection based on a first preset height to obtain a second collected image corresponding to the associated area;

[0023] determining a photovoltaic area corresponding to the mobile photovoltaic end in the binarized image based on the second acquired image;

[0024] In response to a partial area of ​​the photovoltaic area covering any noise pixel point, rotating the photovoltaic area with the photovoltaic area as the center to obtain rotation areas corresponding to different rotation angles;

[0025] The number of each point position of the noise pixel points covered by each rotation area is obtained, and the photovoltaic component is controlled to rotate the component based on the rotation angle corresponding to the minimum number of points.

[0026] Optionally, in the method according to the present invention, the method further comprises:

[0027] In response to the mobile photovoltaic terminal performing photovoltaic collection based on the photovoltaic point, photovoltaic collection rates corresponding to different collection intervals are obtained at intervals of preset collection durations, and the photovoltaic collection rate corresponding to the first collection interval is determined as a reference collection rate;

[0028] When it is determined that the difference between the photovoltaic collection rate at any collection interval and the reference collection rate is greater than the preset collection rate, the photovoltaic collection rates at other collection intervals corresponding to the preset number of collections after the collection interval are determined as the test collection rate;

[0029] In response to the test acquisition rate showing a continuous downward trend, the acquisition drone is controlled to acquire images to obtain an updated first acquired image.

[0030] Optionally, in the method according to the present invention, in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point having a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply includes:

[0031] In response to the photovoltaic power collected by any mobile photovoltaic terminal being greater than a preset collected power, determining that the mobile photovoltaic terminal is in a full load state, triggering the photovoltaic assembly to switch from an extended state to a collapsed state;

[0032] Controlling the acquisition drone to acquire data from the associated area based on a first preset height, and performing image recognition on the obtained second acquired image;

[0033] When it is determined based on the image recognition that the second collected image includes a human element indicating a moving human body, obtaining human pixel points constituting the human element, and determining all human pixel points whose corresponding pixel spacing between adjacent pixels is less than a preset spacing as the same pixel division group;

[0034] Generate a pixel division area based on the maximum pixel coordinate point and the minimum pixel coordinate point located in the same pixel division group, and determine the area center point corresponding to the pixel division area as the power supply point having a point-association relationship with the photovoltaic point;

[0035] The mobile photovoltaic terminal is controlled to move from the photovoltaic point to the power supply point to perform multi-terminal power supply.

[0036] Optionally, in the method according to the present invention, the method further comprises:

[0037] When it is determined based on the image recognition that the second collected image does not include a human element indicating a moving human body, determining a correlation region corresponding to the second collected image as a reference region, and determining each other correlation region adjacent to the reference region as a collaborative region;

[0038] Controlling the acquisition drone to perform image acquisition based on a second preset height with the center point of the reference area as the acquisition center point, to obtain a collaborative acquisition image corresponding to each of the collaborative areas and the associated reference area;

[0039] Based on image recognition performed on the collaboratively collected images, the number of elements corresponding to all human body elements indicating different moving human bodies located in each collaborative area is determined, and collaborative areas corresponding to a maximum number are determined as new associated areas.

[0040] Optionally, in the method according to the present invention, controlling each mobile photovoltaic terminal to move to a lighting point that meets a preset lighting condition to perform a lighting operation based on a second preset time period, and updating the lighting point when determining that the lighting point corresponds to a flow attribute, includes:

[0041] In response to the current moment being the same as the start moment of the second preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of a region corresponding to the different associated areas based on a first preset altitude to acquire a third acquired image of the corresponding associated area;

[0042] performing image recognition on the third collected image, and in response to determining, based on the recognition result, that the third collected image includes a human element indicating any moving human body, determining a region center point of an associated region corresponding to the third collected image as a lighting point position that satisfies a preset lighting condition;

[0043] Control the mobile photovoltaic terminal associated with each collection drone to move to the lighting point to perform lighting operations and establish point monitoring tasks;

[0044] The point attribute corresponding to the lighting point is determined based on the point monitoring task, and the lighting point is updated when it is determined that the point attribute is a flow attribute.

[0045] Optionally, in the method according to the present invention, determining the point attribute corresponding to the lighting point based on the point monitoring task, and updating the lighting point when it is determined that the point attribute corresponding to the lighting point is a flow attribute, includes:

[0046] Determine, based on the point monitoring task, that the number of human body elements corresponding to the lighting point at any point monitoring moment becomes zero, and determine the point attribute corresponding to the lighting point as a fluid attribute, otherwise determine it as a fixed attribute;

[0047] Acquire the point attributes of other associated areas in the same photovoltaic field as the associated area corresponding to the lighting point, and determine all other associated areas with fixed point attributes as an updated positioning group;

[0048] The lighting point located in the associated area with the largest number of corresponding elements in the update point group is determined as the updated lighting point, and the mobile photovoltaic terminal is controlled to move to the updated lighting point.

[0049] According to another aspect of the present invention, a photovoltaic access unit design system is provided, comprising:

[0050] a collection module configured to control each mobile photovoltaic terminal to move to a photovoltaic point that meets preset collection conditions based on a first preset time period to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, control the mobile photovoltaic terminal to move to a power supply point that has a point-to-point relationship with the photovoltaic point to perform multi-terminal power supply;

[0051] The lighting module is configured to control each mobile photovoltaic terminal to move to a lighting point that meets the preset lighting conditions for lighting operations based on a second preset time period, and to update the lighting point when it is determined that the lighting point corresponds to a flow attribute.

[0052] The present invention is beneficial in that:

[0053] According to the solution of the present invention, the present invention can accurately control the mobile photovoltaic terminal to move to the photovoltaic point that meets the preset collection conditions based on the first preset time period, has a certain flexibility, and ensures more efficient photovoltaic collection. When it is detected that the mobile photovoltaic terminal is in a full load state, the server will control the mobile photovoltaic terminal to move to the power supply point that has a point-to-point relationship with the photovoltaic point to perform multi-terminal power supply, significantly improving the utilization efficiency and power supply stability of photovoltaic energy. In addition, the present invention can also control each mobile photovoltaic terminal to move to the lighting point that meets the preset lighting conditions to perform lighting operations based on the second preset time period, thereby achieving precise coverage of the lighting point by the mobile photovoltaic terminal. At the same time, the server will update the lighting point when determining the corresponding flow attribute of the lighting point, thereby improving the corresponding resource utilization rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A flow chart of a photovoltaic access unit design method according to an embodiment of the present invention is shown;

[0055] Figure 2 A schematic diagram showing an association area according to an embodiment of the present invention is shown;

[0056] Figure 3 A schematic diagram showing a buffer profile according to one embodiment of the present invention is shown;

[0057] Figure 4 A structural block diagram of a photovoltaic access unit design system according to another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0058] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0059] To solve the problems in the above background technology, the inventors propose the solution of the present invention. One embodiment of the present invention provides a photovoltaic access unit design method, which can be executed in a computing device.

[0060] Figure 1 A flowchart of a photovoltaic access unit design method according to an embodiment of the present invention is shown. The method is suitable for execution in a computing device, where the computing device can be understood as a terminal with data processing capabilities, such as a mobile phone or a computer.

[0061] like Figure 1 As shown, the photovoltaic access unit design method proposed in this embodiment begins with step S102. In step S102, the following contents are included:

[0062] Based on a first preset time period, each mobile photovoltaic terminal is controlled to move to a photovoltaic point that meets preset collection conditions to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full load state based on the photovoltaic collection, the mobile photovoltaic terminal is controlled to move to a power supply point that has a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply.

[0063] For example, in this embodiment, when the lighting conditions are good, the mobile photovoltaic terminal can collect photovoltaic energy more efficiently. Therefore, the administrator can pre-set a first preset time period in the server, for example, the first preset time period can be 8:00-18:00.

[0064] The photovoltaic field where the mobile photovoltaic terminal is located may have dense user areas or areas blocked by trees, buildings, and other factors, making it difficult for the mobile photovoltaic terminal to collect photovoltaic energy. To ensure efficient photovoltaic energy collection, the server identifies photovoltaic locations that meet pre-set collection conditions. During a first pre-set time period, each mobile photovoltaic terminal is then controlled to move to a photovoltaic location that meets these conditions for photovoltaic energy collection.

[0065] When the mobile photovoltaic terminal reaches full load during the photovoltaic power collection process, it means that it has sufficient photovoltaic power collection and can provide power to multiple terminals. Therefore, the server first determines the power supply point that has a point-to-point relationship with the photovoltaic point, and then controls the mobile photovoltaic terminal to move to the power supply point to provide power to multiple terminals, allowing people to use the mobile photovoltaic terminal to charge mobile phones and other electronic devices.

[0066] Furthermore, the above-mentioned “controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets the preset collection conditions to perform photovoltaic collection based on the first preset time period” further includes the following steps:

[0067] In response to the current moment being the same as the start moment of the first preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of the corresponding associated area based on a first preset altitude to acquire a first acquired image of the corresponding associated area;

[0068] Binarization is performed on the first collected image to obtain binarized images including each illuminated pixel point corresponding to the illuminated pixel value and each noise pixel point corresponding to the second pixel value;

[0069] Connect the adjacent illuminated pixels and determine the photovoltaic points that meet the preset acquisition conditions based on the obtained illuminated areas;

[0070] Control the mobile photovoltaic terminal associated with each collection drone to move to the photovoltaic point that meets the preset collection conditions for photovoltaic collection.

[0071] For example, in this embodiment, when the current time is the same as the start time of the first preset time period, it is the time for the mobile photovoltaic terminal to collect photovoltaic power. In order to ensure that the subsequent mobile photovoltaic terminals can be more evenly distributed in the photovoltaic field to improve the user's power supply experience, the server will first divide the photovoltaic field. Here, we regard the photovoltaic field as a rectangle, that is, after the field division, various associated areas distributed in an array and in the shape of rectangles will be obtained, such as Figure 2 As shown in the figure, each associated area corresponds to a collection drone.

[0072] Next, the server controls each acquisition drone to fly from an initial position to a center point of a corresponding associated area based on a first preset height to acquire images, thereby obtaining a first acquired image of the corresponding associated area.

[0073] In order to more accurately determine which locations in the associated area have good lighting, the server will binarize the first captured image based on the image grayscale, thereby obtaining binary images including each illuminated pixel point corresponding to the illumination pixel value and each noise pixel point corresponding to the second pixel value, that is, the point position of each illuminated pixel point corresponding to the illumination pixel value has good lighting.

[0074] The server then connects adjacent illuminated pixels to create illuminated areas. To ensure optimal photovoltaic collection efficiency, the server further identifies photovoltaic points within each illuminated area that meet pre-set collection criteria. It then controls the mobile photovoltaic terminals associated with each collection drone to move to the corresponding photovoltaic points for photovoltaic collection.

[0075] Furthermore, the above-mentioned “determining photovoltaic points that meet preset collection conditions based on the obtained illumination areas” further includes the following steps:

[0076] Determine a region contour corresponding to each obtained illumination region, and amplify the region contour based on a preset amplification factor to obtain a buffer contour;

[0077] determining a region portion located in each buffer contour as a buffer region based on the first acquired image;

[0078] performing image recognition on the buffer region, and determining the number of elements corresponding to all human body elements indicating different moving human bodies located in each buffer region based on the recognition result;

[0079] Obtaining the area corresponding to each illuminated area, and determining a first evaluation value and a second evaluation value of the corresponding quantity dimension and area dimension based on the number of elements and the area corresponding to the same illuminated area;

[0080] Performing a weighted sum calculation on the first evaluation value and the second evaluation value to obtain a regional evaluation value corresponding to each illumination area;

[0081] The center point of the illumination area corresponding to the largest regional evaluation value of the first acquisition image is determined as the photovoltaic point position that meets the preset acquisition conditions.

[0082] For example, in this embodiment, after determining each illumination area, the server will first determine the area contour corresponding to each illumination area, and amplify the area contour based on a preset amplification factor to obtain a buffer contour, such as Figure 3 Then, based on the first acquired image, the area located at the buffer contour is determined as the buffer area.

[0083] Then, the server will perform image recognition on the buffer area, and determine the number of elements of all human elements indicating different moving human bodies located in each buffer area based on the recognition results, that is, determine the total number of people located in each buffer area, and then obtain the area corresponding to each illumination area, so as to determine the first evaluation value and the second evaluation value of the corresponding quantity dimension and area dimension according to the number of elements and area area corresponding to the same illumination area.

[0084] The server then weights the first and second evaluation values ​​separately and sums the results to obtain a regional evaluation value for each illuminated area. Since the fewer elements in the buffer zone, the less impact the mobile photovoltaic terminal will have on people when collecting solar energy in the illuminated area of ​​that buffer zone, the first evaluation value is inversely proportional to the regional evaluation value. Since the larger the illuminated area, the better the collection effect of the mobile photovoltaic terminal in that area, the second evaluation value is directly proportional to the regional evaluation value.

[0085] The larger the regional evaluation value of the illuminated area, the more suitable the illuminated area is for the mobile photovoltaic terminal to perform photovoltaic collection. Therefore, the server will determine the regional center point of the illuminated area with the largest corresponding regional evaluation value in the first collection image as the photovoltaic point position that meets the preset collection conditions.

[0086] This embodiment can determine the most suitable photovoltaic point based on the quantity dimension and the area dimension with a certain degree of accuracy, and can improve the collection efficiency of the mobile photovoltaic terminal and reduce the impact of the mobile photovoltaic terminal on the user during photovoltaic collection.

[0087] Furthermore, the above-mentioned "controlling the mobile photovoltaic terminal having a device association relationship with each collection drone to move to a photovoltaic point that meets the preset collection conditions to perform photovoltaic collection" also includes the following steps:

[0088] In response to a mobile photovoltaic terminal associated with each collection drone being controlled to move to a photovoltaic point that meets a preset collection condition, the photovoltaic components included in the mobile photovoltaic terminal are triggered to switch from a converged state to an extended state, and the collection drone is controlled to perform image collection based on a first preset height to obtain a second collected image corresponding to the associated area;

[0089] determining a photovoltaic area corresponding to the mobile photovoltaic end in the binarized image based on the second acquired image;

[0090] In response to a partial area of ​​the photovoltaic area covering any noise pixel point, rotating the photovoltaic area with the photovoltaic area as the center to obtain rotation areas corresponding to different rotation angles;

[0091] The number of each point position of the noise pixel points covered by each rotation area is obtained, and the photovoltaic component is controlled to rotate the component based on the rotation angle corresponding to the minimum number of points.

[0092] For example, in this embodiment, once the mobile photovoltaic terminal associated with each collection drone is controlled to move to a photovoltaic location that meets the preset collection conditions, the mobile photovoltaic terminal can begin collecting photovoltaic energy. At this point, the server triggers the photovoltaic modules included in the mobile photovoltaic terminal to switch from a converged state to an extended state to improve subsequent collection efficiency.

[0093] Next, the server will control the acquisition drone to perform image acquisition based on the first preset height to obtain a second acquisition image of the corresponding associated area, and then determine the photovoltaic area corresponding to the mobile photovoltaic end in the binary image based on the image position of the mobile photovoltaic end in the second acquisition image.

[0094] If part of the photovoltaic area is covered by any noise pixel, it means that the mobile photovoltaic terminal is not completely located in a well-lit area. Therefore, the server will rotate the photovoltaic area around the photovoltaic area to obtain rotation areas corresponding to different rotation angles.

[0095] The server will obtain the number of noise pixels covered in each rotation area. The smaller the number of points, the smaller the portion of the mobile photovoltaic terminal located in the poorly illuminated area. Therefore, the server will control the photovoltaic module to rotate according to the rotation angle corresponding to the extremely small number of points.

[0096] This embodiment can calculate the number of noise pixel points covered by the photovoltaic area at different rotation angles, so that the mobile photovoltaic terminal can be located in a well-lit area as much as possible for photovoltaic collection after the photovoltaic component is rotated at a rotation angle corresponding to a very small number of points, thereby improving the corresponding collection efficiency.

[0097] Furthermore, the above method further includes the following steps:

[0098] In response to the mobile photovoltaic terminal performing photovoltaic collection based on the photovoltaic point, photovoltaic collection rates corresponding to different collection intervals are obtained at intervals of preset collection durations, and the photovoltaic collection rate corresponding to the first collection interval is determined as a reference collection rate;

[0099] When it is determined that the difference between the photovoltaic collection rate at any collection interval and the reference collection rate is greater than the preset collection rate, the photovoltaic collection rates at other collection intervals corresponding to the preset number of collections after the collection interval are determined as the test collection rate;

[0100] In response to the test acquisition rate showing a continuous downward trend, the acquisition drone is controlled to acquire images to obtain an updated first acquired image.

[0101] For example, in this embodiment, when the mobile photovoltaic terminal performs photovoltaic collection at a photovoltaic point, the server will obtain the photovoltaic collection rate corresponding to different collection intervals at intervals of preset collection time. For example, if the preset collection time is 5 minutes, the server will obtain the photovoltaic collection rate every 5 minutes, and the time for obtaining the photovoltaic collection rate is each collection interval.

[0102] Since the mobile photovoltaic terminal is in good lighting conditions at the initial stage of photovoltaic collection, the server determines the photovoltaic collection rate corresponding to the first collection interval as the benchmark collection rate.

[0103] When the acquisition rate difference between the photovoltaic acquisition rate and the reference acquisition rate at any acquisition interval is determined to be greater than the preset acquisition rate, it indicates that the acquisition rate difference is too large, that is, the lighting conditions at the photovoltaic point where the mobile photovoltaic terminal is located at the acquisition interval have changed.

[0104] At this point, the server will determine the PV acquisition rate at the other acquisition intervals corresponding to the preset number of acquisition intervals after the acquisition interval as the test acquisition rate. If the test acquisition rate shows a continuous downward trend, it indicates that the lighting conditions at the PV point are becoming increasingly poor. Therefore, the server will control the acquisition drone to collect images, obtain the updated first acquisition image, and thus determine the new PV point.

[0105] Furthermore, the above-mentioned “in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point having a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply” further includes the following steps:

[0106] In response to the photovoltaic power collected by any mobile photovoltaic terminal being greater than a preset collected power, determining that the mobile photovoltaic terminal is in a full load state, triggering the photovoltaic assembly to switch from an extended state to a collapsed state;

[0107] Controlling the acquisition drone to acquire data from the associated area based on a first preset height, and performing image recognition on the obtained second acquired image;

[0108] When it is determined based on the image recognition that the second collected image includes a human element indicating a moving human body, obtaining human pixel points constituting the human element, and determining all human pixel points whose corresponding pixel spacing between adjacent pixels is less than a preset spacing as the same pixel division group;

[0109] Generate a pixel division area based on the maximum pixel coordinate point and the minimum pixel coordinate point located in the same pixel division group, and determine the area center point corresponding to the pixel division area as the power supply point having a point-association relationship with the photovoltaic point;

[0110] The mobile photovoltaic terminal is controlled to move from the photovoltaic point to the power supply point to perform multi-terminal power supply.

[0111] For example, in this embodiment, when the photovoltaic power collected by any mobile photovoltaic terminal during photovoltaic collection is greater than the preset collection power, it means that the mobile photovoltaic terminal is already in a fully loaded state and there is no need to continue photovoltaic collection. Therefore, the server will trigger the photovoltaic component to switch from an extended state to a collapsed state to save a certain amount of floor space and reduce the impact on site users.

[0112] Then, the server will control the acquisition drone to acquire the associated area based on the first preset height again, and perform image recognition on the obtained second acquired image, so as to determine the human elements indicating the moving human body included in the second acquired image.

[0113] Next, the server retrieves the pixels that make up the human element and determines the pixel spacing between adjacent human pixels. If the pixel spacing is less than a preset spacing, it indicates that the pixel spacing between the corresponding human pixels is too small. Therefore, the server groups the human pixels whose corresponding pixel spacing is less than the preset spacing into the same pixel group.

[0114] Next, the server will generate a pixel division area based on the maximum pixel coordinate point and the minimum pixel coordinate point in the same pixel division group, and then determine the area center point of the corresponding pixel division area as the power supply point with a point-to-point relationship with the photovoltaic point. After controlling the mobile photovoltaic terminal to move from the photovoltaic point to the power supply point, the server can provide multi-terminal power supply in areas with more users as much as possible, which has a certain degree of flexibility and improves the user's power supply experience.

[0115] Furthermore, the above method further includes the following steps:

[0116] When it is determined based on the image recognition that the second collected image does not include a human element indicating a moving human body, determining a correlation region corresponding to the second collected image as a reference region, and determining each other correlation region adjacent to the reference region as a collaborative region;

[0117] Controlling the acquisition drone to perform image acquisition based on a second preset height with the center point of the reference area as the acquisition center point, to obtain a collaborative acquisition image corresponding to each of the collaborative areas and the reference area;

[0118] Based on image recognition performed on the collaboratively collected images, the number of elements corresponding to all human body elements indicating different moving human bodies located in each collaborative area is determined, and collaborative areas corresponding to a maximum number are determined as new associated areas.

[0119] For example, in this embodiment, when the server determines based on image recognition that no human element indicating a moving human body is included in the second captured image, the server will re-determine the associated area requiring the mobile photovoltaic terminal to perform multi-terminal power supply.

[0120] First, the server identifies the associated area corresponding to the second captured image as the base area and all other associated areas adjacent to the base area as collaborative areas. The server then controls the acquisition drone to capture images based on a second preset altitude, with the center point of the target area as the acquisition center point, to obtain a collaboratively captured image that includes all collaborative areas and associated areas.

[0121] Then, the server will perform image recognition on the collaboratively collected images to determine the number of elements corresponding to all human elements indicating different mobile human bodies located in each collaborative area. The more elements there are, the more people are located in the collaborative area. Therefore, the server will determine the corresponding collaborative area with a large number as a new associated area, so that the mobile photovoltaic terminal can go to the associated area to provide multi-terminal power supply.

[0122] In step S104, the following contents are included:

[0123] Based on the second preset time period, each mobile photovoltaic terminal is controlled to move to a lighting point that meets the preset lighting conditions to perform lighting operations, and the lighting point is updated when it is determined that the lighting point corresponds to a flow attribute.

[0124] For example, in this embodiment, when the lighting conditions are poor, the mobile photovoltaic terminal can provide lighting operations to the user. The administrator can pre-set a second preset time period in the server, for example, the second preset time period can be 18:00-8:00.

[0125] During the second preset time period, the server controls each mobile photovoltaic terminal to move to a lighting point that meets the preset lighting conditions and perform lighting operations. If it is determined that there are no users near the lighting point, that is, if the lighting point has a mobile attribute, the server will update the lighting point to improve the utilization rate of the mobile photovoltaic terminal.

[0126] Furthermore, the above-mentioned “controlling each mobile photovoltaic terminal to move to a lighting position that meets the preset lighting conditions to perform lighting operations based on the second preset time period, and updating the lighting position when determining that the lighting position corresponds to the flow attribute” further includes the following steps:

[0127] In response to the current moment being the same as the start moment of the second preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of a region corresponding to the different associated areas based on a first preset altitude to acquire a third acquired image of the corresponding associated area;

[0128] performing image recognition on the third collected image, and in response to determining, based on the recognition result, that the third collected image includes a human element indicating any moving human body, determining a region center point of an associated region corresponding to the third collected image as a lighting point position that satisfies a preset lighting condition;

[0129] Control the mobile photovoltaic terminal associated with each collection drone to move to the lighting point to perform lighting operations and establish point monitoring tasks;

[0130] The point attribute corresponding to the lighting point is determined based on the point monitoring task, and the lighting point is updated when it is determined that the point attribute is a flow attribute.

[0131] For example, in this embodiment, when the current moment is the same as the starting moment of the second preset time period, the server will control the collection drone corresponding to each associated area to fly from the initial position to the area center point of the corresponding associated area based on the first preset height to collect images, thereby obtaining a third collected image of the corresponding associated area.

[0132] The server will perform image recognition on the third collected image. When it is determined based on the recognition result that the third collected image includes human elements indicating any moving human body, that is, a user is located in the associated area, the server will then determine the area center point of the associated area corresponding to the third collected image as the lighting point that meets the preset lighting conditions, and then control the mobile photovoltaic end that has a device association relationship with each collection drone to move to the lighting point to perform lighting operations.

[0133] Since users may move, there may be a situation where there are no human elements in a certain associated area. In order to reduce unnecessary resource waste, the server will establish a point monitoring task based on the lighting point to determine the point attribute corresponding to the lighting point, and update the lighting point when it is determined that the point attribute is a flow attribute, that is, update the lighting point to the associated area where human elements exist, so as to improve the corresponding resource utilization.

[0134] Furthermore, the above-mentioned “determining the point attribute corresponding to the lighting point based on the point monitoring task, and updating the lighting point when it is determined that the point attribute corresponding to the lighting point is a flow attribute” further includes the following steps:

[0135] Determine, based on the point monitoring task, that the number of human body elements corresponding to the lighting point at any point monitoring moment becomes zero, and determine the point attribute corresponding to the lighting point as a fluid attribute, otherwise determine it as a fixed attribute;

[0136] Acquire the point attributes of other associated areas in the same photovoltaic field as the associated area corresponding to the lighting point, and determine all other associated areas with fixed point attributes as an updated positioning group;

[0137] The lighting point located in the associated area with the largest number of corresponding elements in the update point group is determined as the updated lighting point, and the mobile photovoltaic terminal is controlled to move to the updated lighting point.

[0138] For example, in this embodiment, when it is determined according to the point monitoring task that the number of elements of the corresponding human body elements of the lighting point at any point monitoring moment becomes zero, the server will determine the point attribute of the lighting point as a flowing attribute; when it is determined according to the point monitoring task that the number of elements of the corresponding human body elements of the lighting point at any point monitoring moment is not zero, the server will determine the point attribute of the lighting point as a fixed attribute.

[0139] Next, the server will obtain the point attributes of other associated areas in the same photovoltaic field as the associated area corresponding to the lighting point, and determine all other associated areas with fixed point attributes as the updated positioning group, so that the server can subsequently determine new lighting points from the associated areas in the updated positioning group.

[0140] The larger the number of human body elements corresponding to the associated area, the more people are located in the associated area. Therefore, the server will determine the lighting point in the associated area with the largest number of corresponding elements in the updated point group as the updated lighting point, and then control the mobile photovoltaic terminal to move to the updated lighting point for lighting operation.

[0141] According to the solution of the present invention, the present invention can accurately control the mobile photovoltaic terminal to move to the photovoltaic point that meets the preset collection conditions based on the first preset time period, has a certain flexibility, and ensures more efficient photovoltaic collection. When it is detected that the mobile photovoltaic terminal is in a full load state, the server will control the mobile photovoltaic terminal to move to the power supply point that has a point-to-point relationship with the photovoltaic point to perform multi-terminal power supply, significantly improving the utilization efficiency and power supply stability of photovoltaic energy. In addition, the present invention can also control each mobile photovoltaic terminal to move to the lighting point that meets the preset lighting conditions to perform lighting operations based on the second preset time period, thereby achieving precise coverage of the lighting point by the mobile photovoltaic terminal. At the same time, the server will update the lighting point when determining the corresponding flow attribute of the lighting point, thereby improving the corresponding resource utilization rate.

[0142] Another embodiment of the present invention provides a photovoltaic access unit design system, Figure 4 For its corresponding system block diagram, the system includes:

[0143] a collection module configured to control each mobile photovoltaic terminal to move to a photovoltaic point that meets preset collection conditions based on a first preset time period to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, control the mobile photovoltaic terminal to move to a power supply point that has a point-to-point relationship with the photovoltaic point to perform multi-terminal power supply;

[0144] The lighting module is configured to control each mobile photovoltaic terminal to move to a lighting point that meets the preset lighting conditions for lighting operations based on a second preset time period, and to update the lighting point when it is determined that the lighting point corresponds to a flow attribute.

[0145] In the description provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems may also be used in conjunction with the examples of the present invention. Based on the above description, it is apparent that the structure required for constructing such systems is well understood. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages ​​may be utilized to implement the present invention described herein, and the description of specific languages ​​above is provided for the purpose of disclosing preferred embodiments of the present invention.

[0146] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0147] Similarly, it should be understood that in order to streamline the disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof.

[0148] Those skilled in the art will appreciate that the modules, units, or components of the devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or further divided into multiple submodules.

[0149] Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and installed in one or more devices different from the embodiments. The modules, units, or components in the embodiments can be combined into one module, unit, or component, and furthermore, they can be divided into multiple submodules, subunits, or subcomponents.

[0150] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features and not other features included in other embodiments, the combination of features from different embodiments is intended to be within the scope of the invention and to form different embodiments.

[0151] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0152] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0153] Although the present invention has been described with respect to a limited number of embodiments, those skilled in the art, having benefit of the foregoing description, will appreciate that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and instructional purposes and is not selected to explain or limit the subject matter of the present invention.

Claims

1. A photovoltaic access unit design method, characterized in that: The following steps are involved: Determine the area contour corresponding to the illuminated area, and amplify the area contour based on a preset amplification factor to obtain a buffer contour; determining a region portion located in each buffer contour as a buffer region based on the first acquired image; performing image recognition on the buffer region, and determining the number of elements corresponding to all human body elements indicating different moving human bodies located in each buffer region based on the recognition result; Obtaining the area corresponding to each illuminated area, and determining a first evaluation value and a second evaluation value of the corresponding quantity dimension and area dimension based on the number of elements and the area corresponding to the same illuminated area; Performing a weighted sum calculation on the first evaluation value and the second evaluation value to obtain a regional evaluation value corresponding to each illumination area; Determining the center point of the illumination area of ​​the first acquisition image corresponding to the largest regional evaluation value as the photovoltaic point position that meets the preset acquisition conditions; Controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets a preset collection condition based on a first preset time period to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point that has a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply; Control each mobile photovoltaic terminal to move to a lighting point that meets the preset lighting conditions to perform lighting operations based on a second preset time period, determine, based on the point monitoring task, that the number of elements corresponding to the human body element at any point monitoring moment of the lighting point becomes zero, and determine the point attribute corresponding to the lighting point as a mobile attribute, otherwise it is determined as a fixed attribute; Acquire the point attributes of other associated areas in the same photovoltaic field as the associated area corresponding to the lighting point, and determine all other associated areas with fixed point attributes as an updated positioning group; The lighting point located in the associated area with the largest number of corresponding elements in the update point group is determined as the updated lighting point, and the mobile photovoltaic terminal is controlled to move to the updated lighting point.

2. The method according to claim 1, characterized in that Controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets a preset collection condition to perform photovoltaic collection based on a first preset time period includes: In response to the current moment being the same as the start moment of the first preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of the corresponding associated area based on a first preset altitude to acquire a first acquired image of the corresponding associated area; Binarization is performed on the first collected image to obtain binarized images including each illuminated pixel point corresponding to the illuminated pixel value and each noise pixel point corresponding to the second pixel value; Connect the adjacent illuminated pixels and determine the photovoltaic points that meet the preset acquisition conditions based on the obtained illuminated areas; Control the mobile photovoltaic terminal associated with each collection drone to move to the photovoltaic point that meets the preset collection conditions for photovoltaic collection.

3. The method according to claim 2, characterized in that Control the mobile photovoltaic terminal associated with each collection drone to move to the photovoltaic point that meets the preset collection conditions to perform photovoltaic collection, including: In response to a mobile photovoltaic terminal associated with each collection drone being controlled to move to a photovoltaic point that meets a preset collection condition, the photovoltaic components included in the mobile photovoltaic terminal are triggered to switch from a converged state to an extended state, and the collection drone is controlled to perform image collection based on a first preset height to obtain a second collected image corresponding to the associated area; determining a photovoltaic area corresponding to the mobile photovoltaic end in the binarized image based on the second acquired image; In response to a partial area of ​​the photovoltaic area covering any noise pixel point, rotating the photovoltaic area with the photovoltaic area as the center to obtain rotation areas corresponding to different rotation angles; The number of each point position of the noise pixel points covered by each rotation area is obtained, and the photovoltaic component is controlled to rotate the component based on the rotation angle corresponding to the minimum number of points.

4. The method according to claim 2, characterized in that The method further comprises: In response to the mobile photovoltaic terminal performing photovoltaic collection based on the photovoltaic point, photovoltaic collection rates corresponding to different collection intervals are obtained at intervals of preset collection durations, and the photovoltaic collection rate corresponding to the first collection interval is determined as a reference collection rate; When it is determined that the difference between the photovoltaic collection rate at any collection interval and the reference collection rate is greater than the preset collection rate, the photovoltaic collection rates at other collection intervals corresponding to the preset number of collections after the collection interval are determined as the test collection rate; In response to the test acquisition rate showing a continuous downward trend, the acquisition drone is controlled to acquire images to obtain an updated first acquired image.

5. The method according to claim 3, characterized in that In response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point having a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply, including: In response to the photovoltaic power collected by any mobile photovoltaic terminal being greater than a preset collected power, determining that the mobile photovoltaic terminal is in a full load state, triggering the photovoltaic assembly to switch from an extended state to a collapsed state; Controlling the acquisition drone to acquire data from the associated area based on a first preset height, and performing image recognition on the obtained second acquired image; When it is determined based on the image recognition that the second collected image includes a human element indicating a moving human body, obtaining human pixel points constituting the human element, and determining all human pixel points whose corresponding pixel spacing between adjacent pixels is less than a preset spacing as the same pixel division group; Generate a pixel division area based on the maximum pixel coordinate point and the minimum pixel coordinate point located in the same pixel division group, and determine the area center point corresponding to the pixel division area as the power supply point having a point-association relationship with the photovoltaic point; The mobile photovoltaic terminal is controlled to move from the photovoltaic point to the power supply point to perform multi-terminal power supply.

6. The method according to claim 5, characterized in that The method further comprises: When it is determined based on the image recognition that the second collected image does not include a human element indicating a moving human body, determining a correlation region corresponding to the second collected image as a reference region, and determining each other correlation region adjacent to the reference region as a collaborative region; Controlling the acquisition drone to perform image acquisition based on a second preset height with the center point of the reference area as the acquisition center point, to obtain a collaborative acquisition image corresponding to each of the collaborative areas and the reference area; Based on image recognition performed on the collaboratively collected images, the number of elements corresponding to all human body elements indicating different moving human bodies located in each collaborative area is determined, and collaborative areas corresponding to a maximum number are determined as new associated areas.

7. The method according to claim 1, characterized in that Controlling each mobile photovoltaic terminal to move to a lighting point that meets a preset lighting condition to perform a lighting operation based on a second preset time period includes: In response to the current moment being the same as the start moment of the second preset time period, controlling the acquisition drone corresponding to each associated area to fly from an initial position to a center point of a region corresponding to the different associated areas based on a first preset altitude to acquire a third acquired image of the corresponding associated area; performing image recognition on the third collected image, and in response to determining, based on the recognition result, that the third collected image includes a human element indicating any moving human body, determining a region center point of an associated region corresponding to the third collected image as a lighting point position that satisfies a preset lighting condition; Control the mobile photovoltaic terminal associated with each collection drone to move to the lighting point to perform lighting operations.

8. A photovoltaic access unit design system, characterized in that: include: an acquisition module configured to determine a region contour corresponding to the illuminated region, and amplify the region contour based on a preset amplification factor to obtain a buffer contour; determining a region portion located in each buffer contour as a buffer region based on the first acquired image; performing image recognition on the buffer region, and determining the number of elements corresponding to all human body elements indicating different moving human bodies located in each buffer region based on the recognition result; Obtaining the area corresponding to each illuminated area, and determining a first evaluation value and a second evaluation value of the corresponding quantity dimension and area dimension based on the number of elements and the area corresponding to the same illuminated area; Performing a weighted sum calculation on the first evaluation value and the second evaluation value to obtain a regional evaluation value corresponding to each illumination area; Determining the center point of the illumination area of ​​the first acquisition image corresponding to the largest regional evaluation value as the photovoltaic point position that meets the preset acquisition conditions; Controlling each mobile photovoltaic terminal to move to a photovoltaic point that meets a preset collection condition based on a first preset time period to perform photovoltaic collection, and in response to determining that the mobile photovoltaic terminal is in a full-load state based on the photovoltaic collection, controlling the mobile photovoltaic terminal to move to a power supply point that has a point-to-point association relationship with the photovoltaic point to perform multi-terminal power supply; a lighting module configured to control each mobile photovoltaic terminal to move to a lighting point that meets a preset lighting condition based on a second preset time period to perform a lighting operation, determine, based on a point monitoring task, when the number of elements corresponding to the human body element of the lighting point at any point monitoring moment becomes zero, and determine the point attribute corresponding to the lighting point as a mobile attribute, otherwise determine it as a fixed attribute; Acquire the point attributes of other associated areas in the same photovoltaic field as the associated area corresponding to the lighting point, and determine all other associated areas with fixed point attributes as an updated positioning group; The lighting point located in the associated area with the largest number of corresponding elements in the update point group is determined as the updated lighting point, and the mobile photovoltaic terminal is controlled to move to the updated lighting point.

Images