A tracking system for photovoltaic assembly deployment

Abstract

This invention provides a tracking system for photovoltaic module deployment, comprising: a distribution module for analyzing the distribution of photovoltaic modules and constructing a distribution map based on the distribution; a deployment module for determining and outputting the deployment position of a deployment device according to the distribution map; a configuration module for configuring the tracking target of the deployment device; and a tracking module for sending tracking tasks to the deployment device. This tracking system for photovoltaic module deployment enables the deployment and tracking of distributed photovoltaic modules.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power generation technology, and in particular to a tracking system for the deployment of photovoltaic modules. Background Technology

[0002] In recent years, photovoltaic (PV) power generation, as a technology for generating electricity using solar energy, has developed rapidly. PV modules, used for PV power generation, have appeared on rural rooftops, belonging to distributed PV power generation equipment. Distributed PV power generation follows the principles of adapting to local conditions, clean and efficient operation, decentralized layout, and local utilization, making full use of local solar energy resources. Moreover, installing PV equipment on rooftops not only effectively increases daily sunshine hours but also reduces land occupation. However, due to the relatively dispersed distribution of these PV modules, monitoring and tracking are difficult; how to achieve monitoring and tracking of distributed PV modules has always been a pressing technical problem to be solved. Summary of the Invention

[0003] One of the objectives of this invention is to provide a tracking system for the deployment of photovoltaic modules, thereby enabling the deployment and tracking of distributed photovoltaic modules.

[0004] This invention provides a tracking system for photovoltaic module deployment, comprising:

[0005] The distribution module is used to analyze the distribution of photovoltaic modules and construct a distribution map based on the distribution.

[0006] The deployment module is used to determine and output the deployment location of the deployment device based on the distribution map;

[0007] The configuration module is used to configure the tracking target of the deployment device;

[0008] The tracking module is used to send tracking tasks to the deployment device.

[0009] Preferably, the deployment module determines the deployment location of the deployment device based on the distribution map and performs the following operations:

[0010] The distribution map is divided into multiple subdivided regions based on a preset dividing grid.

[0011] Priority is assigned to each primary segmentation area based on the number of photovoltaic modules within it;

[0012] The deployment positions of the control devices in each primary segmentation area are determined sequentially from front to back according to priority.

[0013] Preferably, the deployment module assigns a priority to each primary segmentation area based on the number of photovoltaic modules within that area, and performs the following operations:

[0014] Compare the number of photovoltaic modules in a single-segment area with the number of photovoltaic modules in any surrounding single-segment area;

[0015] When the number of photovoltaic modules in a primary segmentation area is greater than the number of photovoltaic modules in any surrounding primary segmentation area, the priority of the primary segmentation area is configured as level zero.

[0016] Configure the priority of other segmented regions to be the number of segmented regions between other segmented regions and the nearest first-priority configured region plus one;

[0017] The priority order corresponds to level zero onwards.

[0018] Preferably, the deployment module determines the deployment position of the deployment device in each primary segmentation area and performs the following operations:

[0019] When determining the deployment location of the deployment device in the primary segmentation area of ​​level zero, the distance between each deployment point and each photovoltaic module in the primary segmentation area is determined.

[0020] The analysis values ​​are determined based on a pre-configured table of distances and corresponding analysis values.

[0021] Analyze the situation of each photovoltaic module and determine the correlation coefficient;

[0022] The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value;

[0023] The point with the smallest point analysis value is selected as the deployment location of the control device.

[0024] Preferably, the deployment module determines the deployment position of the deployment device in each primary segmentation area and performs the following operations:

[0025] When determining the deployment position of the control device in the first segmentation area after level zero, the first segmentation area is divided according to the determined deployment position and the control radius of the control device. The first segmentation area that is not within the control radius of the control device is taken as the second segmentation area.

[0026] When the size of the secondary segmented region is less than a preset threshold, adjacent secondary segmented regions are merged to obtain a combined region.

[0027] Determine the distance between each control point in the combined area and each photovoltaic module in pairs;

[0028] The analysis values ​​are determined based on a pre-configured table of distances and corresponding analysis values.

[0029] Analyze the situation of each photovoltaic module and determine the correlation coefficient;

[0030] The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value;

[0031] The point with the smallest point analysis value is selected as the deployment location of the control device.

[0032] Preferably, the tracking system for photovoltaic module deployment also includes:

[0033] The deployment optimization module is used to analyze the tracking and control records of the deployment device, determine the deployment optimization scheme, and execute it.

[0034] Preferably, the deployment optimization module performs the following operations:

[0035] Filter the tracking and control records and extract the fault records;

[0036] Based on the fault category records, determine the corresponding targets and the fault scores for each target from the distribution map;

[0037] Using a pre-configured mesh, slide it across the distribution map to capture areas of concentrated faults;

[0038] New control devices are deployed in areas with concentrated faults to share the tracking task of photovoltaic modules in these areas.

[0039] Preferably, the tracking tasks include:

[0040] The task of capturing on-site images of photovoltaic modules is to analyze the data monitored by the monitoring module corresponding to the photovoltaic module and use it as the target for shooting.

[0041] And / or,

[0042] The solar position tracking and control task is based on the analysis of environmental information.

[0043] Preferably, the deployment device includes: a drone platform, a drone, an image acquisition device mounted on the drone, a controller, and a communication module.

[0044] Preferably, when executing a shooting task for a shooting target obtained from risk analysis, the patrol path is updated based on the risk assessment of the photovoltaic modules around the patrol path.

[0045] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0046] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0047] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0048] Figure 1 This is a schematic diagram of a tracking system for photovoltaic module deployment in an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram illustrating the execution steps of the deployment module in an embodiment of the present invention. Detailed Implementation

[0050] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0051] This invention provides a tracking system for the deployment of photovoltaic modules, such as... Figure 1 As shown, it includes:

[0052] Distribution module 1 is used to analyze the distribution of photovoltaic modules and construct a distribution map based on the distribution.

[0053] The deployment module 2 is used to determine and output the deployment location of the deployment device based on the distribution map;

[0054] Configuration module 3 is used to configure the tracking target of the deployment device;

[0055] Tracking module 4 is used to send tracking tasks to the deployment device.

[0056] Given the wide distribution of distributed photovoltaic module networks, this embodiment analyzes the distribution of photovoltaic modules to construct a distribution map, then configures reasonable deployment locations, and uses the configured deployment devices to track, monitor, and control the photovoltaic modules; specifically, this is achieved by sending tracking tasks to the deployment devices.

[0057] To achieve the determination of reasonable deployment locations; in one embodiment, such as Figure 2 As shown, the deployment module determines the deployment location of the deployment device based on the distribution map and performs the following operations:

[0058] Step 1: Divide the distribution map into multiple subdivided regions based on the preset dividing grid. The size of each grid in the preset dividing grid can be configured. Generally, the size is obtained by taking the product of any value between 0.6 and 0.8 of the corresponding farthest working distance of the control device and then rounding it down.

[0059] Step 2: Assign priority to each primary segmentation area based on the number of photovoltaic modules within it;

[0060] Step 3: Determine the deployment positions of the control devices in each primary segmentation area in order of priority from front to back.

[0061] The deployment module assigns priorities to each primary segmentation area based on the number of photovoltaic modules within that area and performs the following operations:

[0062] Compare the number of photovoltaic modules in a single-segment area with the number of photovoltaic modules in any surrounding single-segment area;

[0063] When the number of photovoltaic modules in a primary segmentation area is greater than the number of photovoltaic modules in any surrounding primary segmentation area, the priority of the primary segmentation area is configured as level zero.

[0064] Configure the priority of other segmented regions to be the number of first-order segmented regions between other segmented regions and the nearest first-priority configured region plus one; for example, when there is a first-order segmented region of level zero next to other segmented regions, configure the priority of that segmented region as one; when other segmented regions are separated from the nearest first-order segmented region of level zero by one first-order segmented region, configure the priority of that segmented region as two, and so on.

[0065] The priority order corresponds to level zero onwards.

[0066] The deployment module determines the deployment location of the deployment devices in each primary segmentation area and performs the following operations:

[0067] When determining the deployment location of the control device in the primary segmentation area of ​​level zero, the distance between each control point and each photovoltaic module in the primary segmentation area is determined; each control point can be configured by the user or obtained by a pre-configured neural network model through analysis of the environment, adjacent equipment, and other parameters of each point in the distribution map.

[0068] Based on a pre-configured distance-analysis value mapping table, the analysis values ​​are determined; the analysis values ​​and distance values ​​in the distance-analysis value mapping table are associated one-to-one.

[0069] A situation analysis was conducted on each photovoltaic module to determine the correlation coefficients. The situation analysis specifically involved: querying a pre-configured coefficient table to determine the correlation coefficients corresponding to the parameters such as the average power generation, type (fixed, rotating), and corresponding weights of the photovoltaic modules. Among them, the fixed type means that the photovoltaic module does not track the angle of sunlight; the rotating type means that it can track the angle of sunlight and adjust its angle by rotating.

[0070] The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value;

[0071] The point with the lowest point analysis value is selected as the deployment location for the control device. This ensures that the control device is closest to the total distance of all photovoltaic modules, and also allows for closer proximity to photovoltaic modules with better distance performance, facilitating timely response to any problems.

[0072] The deployment module determines the deployment location of the deployment devices in each primary segmentation area and performs the following operations:

[0073] When determining the deployment position of the control device in the first segmentation area after level zero, the first segmentation area is divided according to the determined deployment position and the control radius of the control device. The first segmentation area that is not within the control radius of the control device is taken as the second segmentation area.

[0074] When the size of the secondary segmentation region is less than a preset threshold (0.5 times the area of ​​a single grid of the initial segmentation network), adjacent secondary segmentation regions are merged to obtain a combined region.

[0075] Determine the distance between each control point in the combined area and each photovoltaic module in pairs;

[0076] The analysis values ​​are determined based on a pre-configured table of distances and corresponding analysis values.

[0077] Analyze the situation of each photovoltaic module and determine the correlation coefficient;

[0078] The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value;

[0079] The point with the smallest point analysis value is selected as the deployment location of the control device.

[0080] Due to the uncertainty of photovoltaic module failures, some control devices may experience high loads. In one embodiment, the tracking system for photovoltaic module control further includes:

[0081] The deployment optimization module is used to analyze the tracking and control records of the deployment device, determine the deployment optimization scheme, and execute it.

[0082] The deployment optimization module performs the following operations:

[0083] Filter the tracking and control records and extract the fault records;

[0084] Based on the fault category records, the corresponding targets and fault scores for each target are determined from the distribution map. The fault scores are based on a pre-configured scoring library and are obtained through comprehensive analysis of fault type, components involved in the fault, repair time, etc.

[0085] Using a pre-configured selection grid, the system slides across the distribution map to select areas with concentrated faults. The selection grid is essentially a circular selection frame, with the center of the frame being changed sequentially to the control points on the distribution map, thus enabling the sliding operation on the distribution map.

[0086] New control devices are deployed in areas with concentrated faults to share the tracking task of photovoltaic modules in these areas.

[0087] In one embodiment, the tracking task includes:

[0088] The task of capturing on-site images of photovoltaic modules is to analyze the data monitored by the monitoring module corresponding to the photovoltaic module and use it as the target for shooting.

[0089] And / or,

[0090] The solar position tracking and control task is based on the analysis of environmental information.

[0091] The deployment device includes: a drone platform, a drone, an image acquisition device mounted on the drone, a controller, and a communication module.

[0092] Specifically, when executing shooting tasks for shooting targets obtained from risk analysis, the patrol path is updated based on the risk assessment of photovoltaic modules around the patrol path.

[0093] There are two scenarios in which photovoltaic modules are used as shooting targets. One is based on the analysis of monitoring data from monitoring terminals associated with each photovoltaic module. When the monitoring data is determined to meet the pre-configured suspected fault conditions, the photovoltaic module is used as the shooting target. The other is based on photovoltaic modules with higher risks identified through risk analysis.

[0094] The risk analysis for photovoltaic modules specifically includes:

[0095] The monitoring range (the interval of data that meets normal operating conditions) is divided into risk segments to determine multiple regional ranges and the corresponding risk assessment values ​​for each regional range;

[0096] Extract data from the most recent preset number of times (3 to 10 times) in the monitoring data; the monitoring data is essentially the output voltage and current of the photovoltaic modules for any configured time period from 2 minutes to 30 minutes;

[0097] Determine the regional scope corresponding to each data point, and then determine the risk assessment value corresponding to each data point;

[0098] The first assessment value is obtained by weighting the risk assessment values ​​of each data point; the more recent the data is from the current time, the larger the weighting coefficient.

[0099] Based on monitoring data and pre-configured conversion efficiency analysis, the conversion efficiency of each photovoltaic module is determined; the conversion efficiency is the correspondence between light energy and electrical energy; the standard power generation is determined based on the current environment; the conversion efficiency is the ratio between the actual power generation and the standard power generation.

[0100] Based on the conversion efficiency, query the pre-configured table of correspondence between conversion efficiency and second evaluation value to determine the second evaluation value; the table of correspondence between conversion efficiency and second evaluation value is pre-configured, and the second evaluation value and conversion efficiency are associated one-to-one in the table;

[0101] Calculate the difference between each adjacent data point and construct a stability analysis vector based on the difference; mainly calculate the difference between the power generation corresponding to each data point; arrange the differences in time sequence to form a stability analysis vector;

[0102] Using the stability analysis vector, query the pre-configured stability analysis library to determine the third evaluation value; the third evaluation value in the stability analysis library is associated with the stability analysis vector in a one-to-one correspondence.

[0103] The risk value is obtained by calculating the weighted sum of the first, second, and third assessment values. The weighting coefficients corresponding to the first, second, and third assessment values ​​are pre-configured.

[0104] The steps for updating the patrol route are as follows:

[0105] Obtain a photovoltaic module distribution map; mark the selected target to be detected on the photovoltaic module distribution map;

[0106] Construct a patrol path; the patrol path starts from a preset starting position and returns to a preset ending position, passing through the targets to be inspected in sequence;

[0107] The patrol path is estimated for patrol time. When the estimated patrol time is greater than or equal to the pre-configured patrol time (the maximum single flight time of the drone multiplied by a preset coefficient, which is any value between 0.6 and 0.9) and less than or equal to the alert time (the maximum single flight time of the drone), the patrol path is not updated. The patrol time estimation mainly includes estimating the travel time by dividing the distance traveled by the drone's speed and the shooting dwell time of each photoelectric component.

[0108] When the patrol time is less than the patrol time, the patrol path is updated; when the patrol time is greater than the warning time, the targets to be detected are grouped, and a patrol path is constructed for each group before the patrol path is updated.

[0109] The updates to the patrol routes include:

[0110] Extract the risk values ​​of photoelectric components within a certain distance range from the inspection path; sort the risk values, and set the photoelectric component with the highest risk value as the target to be detected and update the inspection path; until the inspection time of the updated inspection path is greater than or equal to the pre-configured inspection time and less than or equal to the warning time;

[0111] To improve update efficiency, the distance range can be determined first, thereby reducing the number of optoelectronic components that need to be analyzed. The value of the distance range is the same as the value obtained by subtracting a dwell time from the difference between the pre-configured patrol time and the patrol time of the patrol path, and then dividing by the moving speed of the UAV.

[0112] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A tracking system for the deployment of photovoltaic modules, characterized in that, include: The distribution module is used to analyze the distribution of photovoltaic modules and construct a distribution map based on the distribution. The deployment module is used to determine and output the deployment location of the deployment device based on the distribution map; The configuration module is used to configure the tracking target of the deployment device; The tracking module is used to send tracking tasks to the deployment device; The deployment optimization module is used to analyze the tracking and control records of the deployment device, determine the deployment optimization scheme, and execute it. The deployment module determines the deployment location of the deployment device based on the distribution map and performs the following operations: The distribution map is divided into multiple subdivided regions based on a preset dividing grid. Priority is assigned to each primary segmentation area based on the number of photovoltaic modules within it; The deployment positions of the control devices in each primary segmentation area are determined sequentially from front to back according to priority. The deployment module determines the deployment location of the deployment devices in each primary segmentation area and performs the following operations: When determining the deployment location of the deployment device in the primary segmentation area of ​​level zero, the distance between each deployment point and each photovoltaic module in the primary segmentation area is determined. The analysis values ​​are determined based on a pre-configured table of distances and corresponding analysis values. Analyze the situation of each photovoltaic module and determine the correlation coefficient; The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value; The point with the smallest point analysis value is selected as the deployment location of the control device.

2. The tracking system for photovoltaic module deployment as described in claim 1, characterized in that, The deployment module assigns priorities to each primary segmentation area based on the number of photovoltaic modules within that area and performs the following operations: Compare the number of photovoltaic modules in a single-segment area with the number of photovoltaic modules in any surrounding single-segment area; When the number of photovoltaic modules in a primary segmentation area is greater than the number of photovoltaic modules in any surrounding primary segmentation area, the priority of the primary segmentation area is configured as level zero. Configure the priority of other segmented regions to be the number of segmented regions between other segmented regions and the nearest first-priority configured region plus one; The priority order corresponds to level zero onwards.

3. The tracking system for photovoltaic module deployment as described in claim 1, characterized in that, The deployment module determines the deployment location of the deployment devices in each primary segmentation area and performs the following operations: When determining the deployment position of the control device in the first segmentation area after level zero, the first segmentation area is divided according to the determined deployment position and the control radius of the control device. The first segmentation area that is not within the control radius of the control device is taken as the second segmentation area. When the size of the secondary segmented region is less than a preset threshold, adjacent secondary segmented regions are merged to obtain a combined region. Determine the distance between each control point in the combined area and each photovoltaic module in pairs; The analysis values ​​are determined based on a pre-configured table of distances and corresponding analysis values. Analyze the situation of each photovoltaic module and determine the correlation coefficient; The sum of the product of the analytical values ​​corresponding to the distances from the control points to each photovoltaic module and the correlation coefficients is used as the point analysis value; The point with the smallest point analysis value is selected as the deployment location of the control device.

4. The tracking system for photovoltaic module deployment as described in claim 1, characterized in that, The deployment optimization module performs the following operations: Filter the tracking and control records and extract the fault records; Based on the fault category records, determine the corresponding targets and the fault scores for each target from the distribution map; Using a pre-configured mesh, slide it across the distribution map to capture areas of concentrated faults; New control devices are deployed in areas with concentrated faults to share the tracking task of photovoltaic modules in these areas.

5. The tracking system for photovoltaic module deployment as described in claim 4, characterized in that, The tracking tasks include: The task of capturing on-site images of photovoltaic modules is to analyze the data monitored by the monitoring module corresponding to the photovoltaic module and use it as the target for shooting. And / or, The solar position tracking and control task is based on the analysis of environmental information.

6. The tracking system for photovoltaic module deployment as described in claim 5, characterized in that, The deployment device includes: a drone platform, the drone, an image acquisition device mounted on the drone, a controller, and a communication module.

7. The tracking system for photovoltaic module deployment as described in claim 5, characterized in that, When executing a shooting task for a target obtained from risk analysis, the patrol path is updated based on the risk assessment of the photovoltaic modules around the patrol path.

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