Monitoring system, method and device for offshore photovoltaic grid, program product and equipment

Abstract

The invention provides a monitoring system, method, device, program product and equipment for an offshore photovoltaic net rack, and relates to the technical field of information monitoring. The monitoring system comprises a strain monitoring device which is arranged at a first point position of the offshore photovoltaic grid; wherein the first point location comprises a junction point of different frameworks of the offshore photovoltaic grid; the settlement monitoring equipment is arranged at a second point position of the offshore photovoltaic grid; wherein at least one second point location is located in the marginal area of the offshore photovoltaic grid; the vibration monitoring equipment is arranged at a third point location of the offshore photovoltaic grid; wherein the offshore photovoltaic grid is divided into a plurality of uniformly distributed sub-regions, and each sub-region comprises a third point location. According to the invention, comprehensive and systematic monitoring of the offshore photovoltaic grid can be realized.

Description

Technical Field

[0001] The present disclosure relates to the field of information monitoring technology, and in particular to a monitoring system for an offshore photovoltaic grid, a monitoring method for an offshore photovoltaic grid, a monitoring device for an offshore photovoltaic grid, a computer program product, and an electronic device. Background Art

[0002] In offshore photovoltaic projects, offshore photovoltaic grids are used to assemble, support, and secure photovoltaic panels. Due to their large size and long-term exposure to complex marine environments, they are prone to displacement and deformation.

[0003] In related technologies, there is a lack of systematic monitoring solutions for offshore photovoltaic grids, which makes it impossible to monitor and evaluate the actual conditions of the grids, hindering project maintenance. Summary of the Invention

[0004] The present disclosure provides an offshore photovoltaic grid monitoring system, an offshore photovoltaic grid monitoring method, an offshore photovoltaic grid monitoring device, a computer program product and an electronic device to achieve systematic monitoring of the offshore photovoltaic grid at least to a certain extent.

[0005] According to a first aspect of the present disclosure, a monitoring system for an offshore photovoltaic grid is provided, comprising: a strain monitoring device, arranged at a first point position of the offshore photovoltaic grid; wherein the first point position includes a junction point of different skeletons of the offshore photovoltaic grid; a settlement monitoring device, arranged at a second point position of the offshore photovoltaic grid; wherein at least one of the second point positions is located in an edge area of the offshore photovoltaic grid; and a vibration monitoring device, arranged at a third point position of the offshore photovoltaic grid; wherein the offshore photovoltaic grid is divided into a plurality of evenly distributed sub-areas, and each sub-area includes a third point position.

[0006] Optionally, the offshore photovoltaic grid includes two transverse frames and two longitudinal frames, the two transverse frames and the two longitudinal frames have four intersection points, and the first point position includes at least three of the intersection points.

[0007] Optionally, the first point also includes a midpoint and / or endpoint of at least one skeleton.

[0008] Optionally, at least one of the second points is located in the central area of the offshore photovoltaic grid.

[0009] According to a second aspect of the present disclosure, a method for monitoring an offshore photovoltaic grid is provided, which is applied to the monitoring system of the offshore photovoltaic grid of the first aspect; the method comprises: obtaining first monitoring data through a strain monitoring device of the monitoring system; obtaining second monitoring data through a settlement monitoring device of the monitoring system; obtaining third monitoring data through a vibration monitoring device of the monitoring system; and determining target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data.

[0010] Optionally, the target monitoring data includes deformation data; determining the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data includes: determining the first deformation data of multiple analysis points of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data; selecting at least one from the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point based on the numerical range of the first deformation data, and obtaining the second deformation data of the analysis point through analysis.

[0011] Optionally, after obtaining the second deformation data of multiple analysis points of the offshore photovoltaic grid, the method further includes: generating a deformation analysis model of the offshore photovoltaic grid based on the second deformation data of the multiple analysis points.

[0012] According to a third aspect of the present disclosure, a monitoring device for an offshore photovoltaic grid is provided, which is applied to the monitoring system for the offshore photovoltaic grid of the first aspect; the device comprises: a first monitoring data acquisition module, configured to acquire first monitoring data through a stress monitoring device of the monitoring system; a second monitoring data acquisition module, configured to acquire second monitoring data through a settlement monitoring device of the monitoring system; a third monitoring data acquisition module, configured to acquire third monitoring data through a vibration monitoring device of the monitoring system; and a target monitoring data determination module, configured to determine target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data and the third monitoring data.

[0013] According to a fourth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method of the second aspect and possible implementations thereof are implemented.

[0014] According to a fifth aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute the method of the above-mentioned second aspect and its possible implementation methods by executing the executable instructions.

[0015] The technical solution disclosed in this disclosure has the following beneficial effects:

[0016] Based on a monitoring system that includes strain monitoring equipment, settlement monitoring equipment, and vibration monitoring equipment, it is possible to monitor strain at the first point of the offshore photovoltaic grid, settlement at the second point, and vibration at the third point. This allows for comprehensive and systematic monitoring of the offshore photovoltaic grid, facilitating the development of a reasonable grid maintenance plan to extend its service life. It can also monitor typical stress results at different points on the grid, improving monitoring efficiency.

[0017] The first monitoring data is obtained through strain monitoring equipment, the second monitoring data is obtained through settlement monitoring equipment, and the third monitoring data is obtained through vibration monitoring equipment. Determining the target monitoring data based on the three types of monitoring data can make up for the problem of insufficient monitoring of some monitoring information at some points by a single monitoring data, which is conducive to obtaining comprehensive and sufficient monitoring results. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram showing an offshore photovoltaic grid in this exemplary embodiment is shown.

[0019] Figure 2 A schematic diagram showing a monitoring system for an offshore photovoltaic grid according to this exemplary embodiment is shown.

[0020] Figure 3 A flow chart showing a method for monitoring an offshore photovoltaic grid in this exemplary embodiment is shown.

[0021] Figure 4 A flowchart for obtaining deformation data in this exemplary embodiment is shown.

[0022] Figure 5 A schematic structural diagram of a monitoring device for an offshore photovoltaic grid in this exemplary embodiment is shown.

[0023] Figure 6 A schematic structural diagram of an electronic device in this exemplary embodiment is shown. DETAILED DESCRIPTION

[0024] Exemplary embodiments of the present disclosure will be described more fully hereinafter with reference to the accompanying drawings.

[0025] The accompanying drawings are schematic illustrations of the present disclosure and are not necessarily drawn to scale. Some of the block diagrams shown in the accompanying drawings may be functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, or in hardware modules or integrated circuits, or in networks, processors or microcontrollers. The embodiments can be implemented in various forms and should not be construed as being limited to the examples set forth herein. The features, structures or characteristics described in the present disclosure may be combined in one or more embodiments in any suitable manner. In the description below, many specific details are provided to provide a full description of the embodiments of the present disclosure. However, those skilled in the art will appreciate that one or more specific details may be omitted when implementing the technical solution of the present disclosure, or that other methods, components, devices, steps, etc. may be used to replace one or more specific details.

[0026] In offshore photovoltaic projects, offshore photovoltaic grids are used to assemble, support, and secure photovoltaic panels. Due to their large size and prolonged exposure to the complex marine environment, they are prone to displacement and deformation. However, there is a lack of systematic monitoring solutions for offshore photovoltaic grids, making it difficult to monitor and assess their performance, hindering project maintenance.

[0027] In view of the above problems, exemplary embodiments of the present disclosure provide a monitoring system for an offshore photovoltaic grid, aiming to achieve comprehensive and systematic monitoring of the grid.

[0028] Figure 1 A schematic diagram of an offshore photovoltaic unit is shown. The offshore photovoltaic unit may include an offshore photovoltaic grid 110 and a rod-shaped support for supporting the entire offshore photovoltaic unit. The offshore photovoltaic grid 110 includes multiple grids, within which photovoltaic panels may be fixedly mounted. Figure 1 The offshore photovoltaic grid 110 is shown to include two transverse frames 1101 and two longitudinal frames 1102. The frames are the main load-bearing parts of the offshore photovoltaic grid 110. In one embodiment, the frames are connected to the rod-shaped supports, and the connection points are the main support points for bearing the weight of the offshore photovoltaic grid 110 and the photovoltaic panels. Of course, the specific number, direction and distribution of the frames are not limited to Figure 1 The situation shown.

[0029] Figure 2 Schematic diagram of the monitoring system for offshore photovoltaic grids. Figure 2 As shown, the monitoring system 200 for offshore photovoltaic grid may include:

[0030] The strain monitoring device 210 is provided at a first point of the offshore photovoltaic grid; wherein the first point includes a junction point of different frames of the offshore photovoltaic grid;

[0031] The subsidence monitoring device 220 is provided at a second point of the offshore photovoltaic grid; wherein at least one second point is located at an edge area of the offshore photovoltaic grid;

[0032] The vibration monitoring device 230 is set at a third point of the offshore photovoltaic grid; wherein the offshore photovoltaic grid is divided into a plurality of evenly distributed sub-areas, and each sub-area includes a third point.

[0033] Each device in the offshore photovoltaic grid monitoring system 200 is described below.

[0034] Strain monitoring device 210 may be a strain sensor for monitoring strain conditions. Strain sensors may include resistive strain sensors, fiber optic strain sensors, and the like. For example, a differential resistance strain gauge includes a resistance strain gauge. When deformed by an external force, its resistance changes. Based on this characteristic, differential measurement is used to convert the resistance change of the resistance strain gauge into an easily measurable voltage or current signal, thereby improving measurement accuracy and anti-interference capabilities.

[0035] In one embodiment, the parameter references of the strain sensor are as follows: range (unit με, 1 με means that the deformation of the object is one millionth of its original size): ±3000; sensitivity (unit με / mV / V): 500; operating temperature range (°C): -20 to +80.

[0036] Alternatively, the strain monitoring device 210 may be a positioning device, such as a GNSS (Global Navigation Satellite System) positioning device, which can detect strain through high-precision microwave signals.

[0037] The strain monitoring device 210 is set at the first point of the offshore photovoltaic grid 110. Figure 1 As shown, the first point includes the intersection of the different frames of the offshore photovoltaic grid 110. Because the intersection is a major support point, it is prone to strain. High levels of strain can affect the mechanical stability of the entire offshore photovoltaic unit. Therefore, the intersection is used as the first point, and strain monitoring equipment 210 is installed to accurately monitor the strain at the intersection, allowing for timely implementation of corresponding measures and the development of a reasonable maintenance plan.

[0038] In one embodiment, the offshore photovoltaic grid 110 includes two transverse skeletons 1101 and two longitudinal skeletons 1102, and the two transverse skeletons 1101 and the two longitudinal skeletons 1102 have four intersection points, and the first point position includes at least three of the intersection points. It can be understood that it is not necessary to use all four intersection points as the first point position. The first point position can only include three of the intersection points. The strain data of the fourth intersection point can be calculated based on the strain data of the three intersection points. For example, the four intersection points of the two transverse skeletons 1101 and the two longitudinal skeletons 1102 are C1, C2, C3, and C4, respectively, where C1 and C3 are in a diagonal relationship, and C2 and C4 are in a diagonal relationship. The first point position is set at C1, C2, and C3, and the strain data of C1, C2, and C3 are monitored and recorded as ε(C1), ε(C2), and ε(C3), respectively. The strain data of C4 can be calculated as: ε(C4) = ε(C2) + α(ε(C1) - ε(C2)) + β(ε(C3) - (C2)), where α and β are empirical coefficients.

[0039] In one embodiment, the first point also includes the midpoint and / or end point of at least one skeleton. That is, the strain monitoring device 210 is set at the midpoint and / or end point of at least one skeleton to monitor the strain condition. Figure 1 As shown, an endpoint of a transverse skeleton 1101 can be used as a first point, and a midpoint of a longitudinal skeleton 1102 can be used as a first point. In this way, by combining the strain conditions of the intersection points and the midpoints or endpoints, the strain conditions of the entire skeleton can be estimated while setting fewer first points, thereby obtaining more comprehensive strain monitoring information.

[0040] The settlement monitoring device 220 can be a visual target. By shooting a monitoring video and detecting the displacement of the visual target, the settlement of the offshore photovoltaic grid is obtained, thereby determining the second monitoring data. Of course, the present disclosure does not limit the method of settlement monitoring, and other methods can also be used to monitor the settlement and obtain the second monitoring data. The visual target can have a clear geometric shape, a high-contrast color, a recognizable marking point, etc., to assist in the correction and optimization of shooting parameters, image analysis and recognition, etc. For example, a visual reflective target can be used, the surface of which has reflective properties, which can enhance the visibility and contrast of the target in the monitoring video screen.

[0041] Alternatively, the settlement monitoring device 220 may be a positioning device, such as a GNSS positioning device, which can detect displacement through high-precision microwave signals to obtain settlement information.

[0042] The settlement monitoring device 220 is set at the second point of the offshore photovoltaic grid 110. Figure 1As shown, at least one second point is located at the edge of the offshore photovoltaic grid 110. The edge can be a strip extending a certain width inward from the boundary of the offshore photovoltaic grid 110. Because the edge is farther from the boundary, it is prone to subsidence. Therefore, setting a second point within the edge allows for effective monitoring of the subsidence of the offshore photovoltaic grid 110.

[0043] In one embodiment, at least one second point is located in the center of the offshore photovoltaic grid 110. Figure 1 As shown, the center area of the offshore photovoltaic grid 110 is also far from the intersection point and is prone to settlement. Setting a second point in the center area can effectively monitor the settlement of the center area.

[0044] In one embodiment, at least one second point is located on the frame of the offshore photovoltaic grid 110. Since the frame is the main load-bearing part, the settlement of the frame has a significant impact on the entire structure. Monitoring the settlement of the frame can timely identify potential risks.

[0045] The vibration monitoring device 230 may be an acceleration sensor that can detect the local vibration acceleration data of the offshore photovoltaic grid 110 caused by external forces and obtain vibration information. For example, a three-axis accelerometer may be used, and its parameters are as follows:

[0046] The measurement range is ±50g; the frequency response (±10%) is 0.5 to 9,000Hz, and the frequency response (±3dB) is 0.2 to 12,000Hz; the operating temperature is -40℃ to +120℃.

[0047] The vibration monitoring device 230 is set at the third point of the offshore photovoltaic grid 110. Figure 1 As shown, the third points are relatively evenly distributed across the entire grid. Specifically, the offshore photovoltaic grid 110 is divided into multiple evenly distributed sub-areas, each of which includes a third point. This disclosure does not limit the specific method and parameters for dividing the sub-areas. By dividing the sub-areas and setting the third points, ensuring that the third points are relatively evenly distributed across the grid, a comprehensive monitoring effect can be achieved.

[0048] In one embodiment, at least one third point is located on the skeleton of the offshore photovoltaic grid 110. Since the skeleton is the primary load-bearing component, setting a third point on the skeleton to monitor vibration information can assess the vibration and stress of the entire offshore photovoltaic grid 110, which is important for estimating the stress state of the offshore photovoltaic grid 110.

[0049] Based on a monitoring system that includes strain monitoring equipment, settlement monitoring equipment, and vibration monitoring equipment, it is possible to monitor strain at the first point of the offshore photovoltaic grid, settlement at the second point, and vibration at the third point. This allows for comprehensive and systematic monitoring of the offshore photovoltaic grid, facilitating the development of a reasonable grid maintenance plan to extend its service life. It can also monitor typical stress results at different points on the grid, improving monitoring efficiency.

[0050] The exemplary embodiments of the present disclosure further provide a method for monitoring an offshore photovoltaic grid, which can be applied to the above-mentioned monitoring system 200 for the offshore photovoltaic grid. Figure 3 An exemplary process of a method for monitoring an offshore photovoltaic grid is shown, including the following steps S310 to S340:

[0051] Step S310, obtaining first monitoring data through a strain monitoring device of a monitoring system;

[0052] Step S320, obtaining second monitoring data through the settlement monitoring device of the monitoring system;

[0053] Step S330, obtaining third monitoring data through the vibration monitoring device of the monitoring system;

[0054] Step S340: determining target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data.

[0055] based on Figure 3 The method obtains the first monitoring data through the strain monitoring device, the second monitoring data through the settlement monitoring device, and the third monitoring data through the vibration monitoring device. The target monitoring data is determined based on the three types of monitoring data. This can make up for the problem that a single monitoring data is insufficient for monitoring some monitoring information at some points, and is conducive to obtaining comprehensive and sufficient monitoring results.

[0056] Below Figure 3 Provide detailed instructions for each step.

[0057] refer to Figure 3 In step S310, first monitoring data is obtained through the strain monitoring device of the monitoring system.

[0058] The deformation of the offshore photovoltaic grid can be measured by strain monitoring equipment, and the absolute value of the deformation can be used as the first monitoring data. Alternatively, a dimensionless strain value (such as the ratio of the deformation to the original size) can be used as the first monitoring data.

[0059] In one embodiment, the first monitoring data may be timestamped to indicate the time when the strain corresponding to the first monitoring data occurred (e.g., the time the data was collected or transmitted). For example, when collecting the first monitoring data, the strain sensor may record the collection time, obtain a timestamp, and output the first monitoring data along with the timestamp. Alternatively, after collecting the first monitoring data, the strain sensor may immediately transmit it to a monitoring center, which then adds a timestamp to the first monitoring data based on the time of receipt.

[0060] Continue to refer Figure 3 In step S320, the second monitoring data is obtained through the settlement monitoring equipment of the monitoring system.

[0061] In one embodiment, the settlement monitoring device may be a visual target, which detects the displacement of the visual target by shooting monitoring video, and calculates the settlement value of the offshore photovoltaic grid based on the displacement as the second monitoring data.

[0062] In one embodiment, the second monitoring data may include a timestamp indicating the time when the settlement corresponding to the second monitoring data occurred. For example, if a surveillance video includes time information, and if a change in the position of a visual target is detected in one or more frames of the surveillance video and the second monitoring data is calculated based on this change, the timestamp of the one or more frames may be used as the timestamp of the second monitoring data to indicate the time when the settlement occurred.

[0063] Continue to refer Figure 3 In step S330, third monitoring data is obtained through the vibration monitoring equipment of the monitoring system.

[0064] In one embodiment, the third monitoring data may be timestamped to indicate the time when the vibration corresponding to the third monitoring data occurred. For example, when an acceleration sensor outputs acceleration data, it may also output the data acquisition time, and use the acceleration data as the third monitoring data. Alternatively, vibration, stress, or strain data may be calculated based on the acceleration data as the third monitoring data, and the corresponding data acquisition time may be used as the timestamp of the third monitoring data to indicate the time when the vibration occurred.

[0065] Continue to refer Figure 3 In step S340, target monitoring data of the offshore photovoltaic grid is determined based on the first monitoring data, the second monitoring data, and the third monitoring data.

[0066] For example, the first monitoring data, the second monitoring data, and the third monitoring data may be combined to obtain target monitoring data of the offshore photovoltaic grid.

[0067] In one embodiment, the target monitoring data includes deformation data; Figure 4As shown, determining target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data includes the following steps S410 and S420:

[0068] Step S410, determining first deformation data of multiple analysis points of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data;

[0069] Step S420 , selecting at least one of the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point according to the numerical range of the first deformation data, and obtaining second deformation data of the analysis point through analysis.

[0070] The analysis points are points where stress, strain, and other conditions need to be characterized in detail, and may be one or more of the first point, the second point, and the third point, or may include points other than the first point, the second point, and the third point.

[0071] When obtaining the first monitoring data of the first point, the first monitoring data of the analysis point can be determined by interpolation or other methods. For example, when obtaining the first monitoring data of multiple first points near the analysis point, the first monitoring data of the multiple first points can be interpolated based on the distance between the analysis point and the multiple first points to obtain the first monitoring data of the analysis point. Similarly, when obtaining the second monitoring data of the second point, the second monitoring data of the analysis point can be determined by interpolation or other methods. When obtaining the third monitoring data of the third point, the third monitoring data of the analysis point can be determined by interpolation or other methods. Thus, one or more of the first monitoring data, the second monitoring data, and the third monitoring data are obtained for the analysis point.

[0072] The first deformation data represents initially determined deformation data. For example, the average value or weighted value of the first monitoring data, the second monitoring data, and the third monitoring data may be used as the first deformation data.

[0073] In general, the strain ranges detected by strain monitoring equipment, settlement monitoring equipment, and vibration monitoring equipment are different. For example, the strain range that can be detected by the settlement monitoring equipment is greater than the strain range that can be detected by the strain monitoring equipment, and further greater than the strain range that can be detected by the vibration monitoring equipment. It can be understood that the first monitoring data, the second monitoring data, and the third monitoring data have corresponding numerical ranges. Of course, there can be intersections between different numerical ranges. According to the numerical range in which the first deformation data is located, one of the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point is selected, and the second deformation data of the analysis point is obtained by analyzing the selected monitoring data, or multiple of the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point are weighted, such as according to the difference between the first deformation data and the boundary of different numerical ranges, the first monitoring data, the second monitoring data, and the third monitoring data are weighted. The larger the difference, the smaller the weight. If the first deformation data is within a certain numerical range, the weight corresponding to the numerical range can be the maximum weight (such as 1), and the second deformation data is obtained after weighting. The second deformation data is optimized deformation data and has higher accuracy.

[0074] In one embodiment, after obtaining the second deformation data of multiple analysis points of the offshore photovoltaic grid, the method further includes:

[0075] A deformation analysis model of the offshore photovoltaic grid is generated based on the second deformation data of multiple analysis points.

[0076] Among them, the deformation analysis model can display the second deformation data of each part of the offshore photovoltaic grid in a visual manner, so that users can intuitively see the distribution of deformation, the most severely deformed parts and other information.

[0077] The exemplary embodiment of the present disclosure further provides a monitoring device for an offshore photovoltaic grid, which can be applied to the above-mentioned monitoring system 200 for an offshore photovoltaic grid. Figure 5 As shown, the monitoring device 500 for an offshore photovoltaic grid may include the following modules:

[0078] A first monitoring data acquisition module 510 is configured to acquire first monitoring data through the stress monitoring device of the monitoring system;

[0079] A second monitoring data acquisition module 520 is configured to acquire second monitoring data through the settlement monitoring device of the monitoring system;

[0080] A third monitoring data acquisition module 530 is configured to acquire third monitoring data through the vibration monitoring device of the monitoring system;

[0081] The target monitoring data determination module 540 is configured to determine the target monitoring data of the offshore photovoltaic grid according to the first monitoring data, the second monitoring data, and the third monitoring data.

[0082] In one embodiment, the target monitoring data includes deformation data; determining the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data includes: determining the first deformation data of multiple analysis points of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data; selecting at least one from the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point based on the numerical range of the first deformation data, and obtaining the second deformation data of the analysis point through analysis.

[0083] In one embodiment, the device is further configured to: after obtaining the second deformation data of multiple analysis points of the offshore photovoltaic grid, generate a deformation analysis model of the offshore photovoltaic grid based on the second deformation data of the multiple analysis points.

[0084] The specific details of each part of the above-mentioned device have been described in detail in the implementation method part. The undisclosed details can be found in the implementation method part, so they will not be repeated here.

[0085] It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the exemplary embodiments of the present disclosure, the features and functions of two or more modules or units described above can be concretized in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0086] The exemplary embodiments of the present disclosure further provide a computer program product, which includes a computer program, and implements the above method when the computer program is executed by a processor.

[0087] In one embodiment, a computer program product may be a tangible product containing a computer program, such as a computer-readable storage medium storing the computer program. The computer-readable storage medium may be a storage medium based on electrical, magnetic, optical, electromagnetic, infrared, or other signals, including but not limited to random access memory (RAM), read-only memory (ROM), magnetic tape, floppy disk, flash memory (Flash), hard disk drive (HDD), solid state drive (SSD), and the like. Exemplarily, the computer program product may be implemented as a non-volatile storage medium storing the computer program, such as a read-only memory, a NAND flash memory, and the like.

[0088] In one embodiment, the computer program product may be an intangible product containing a computer program. For example, the computer program product may be implemented as a virtual digital product, such as a digital file such as an executable file or installation package storing the computer program.

[0089] The code of the computer program can be written in one or more programming languages. Programming languages include C, Java, C++, etc. The program code can be executed entirely on the user computing device, or partially on the user computing device, or as a separate software package, or partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device via any type of network, such as a local area network (LAN), a wide area network (WAN), etc., or can be connected to an external computing device (e.g., via an Internet connection provided by a carrier).

[0090] Computer programs can be carried or transmitted through electrical, magnetic, optical, electromagnetic, infrared and other signals. Electronic devices can convert signals carrying computer programs into digital signals, and then run the computer programs. When a computer program runs on an electronic device, its code is used to enable the electronic device to execute (more specifically, it can enable the processor of the electronic device to execute) the method steps of various exemplary embodiments of the present disclosure, for example: step S310, obtaining first monitoring data through the strain monitoring device of the monitoring system; step S320, obtaining second monitoring data through the settlement monitoring device of the monitoring system; step S330, obtaining third monitoring data through the vibration monitoring device of the monitoring system; step S340, determining the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data and the third monitoring data.

[0091] The above method is implemented based on a computer program. The first monitoring data is obtained through the strain monitoring device, the second monitoring data is obtained through the settlement monitoring device, and the third monitoring data is obtained through the vibration monitoring device. The target monitoring data is determined based on the three types of monitoring data. This can make up for the problem of insufficient monitoring of some monitoring information at some points by a single monitoring data, and is conducive to obtaining comprehensive and sufficient monitoring results.

[0092] The exemplary embodiments of the present disclosure further provide an electronic device. The electronic device may include a processor and a memory. The memory stores executable instructions for the processor, such as a computer program. The processor executes the executable instructions to perform the method steps of various exemplary embodiments of the present disclosure.

[0093] Reference below Figure 6 , the electronic device is exemplarily described in the form of a general-purpose computing device. It should be understood that Figure 6 The electronic device 600 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0094] like Figure 6 As shown, the electronic device 600 may include: a processor 610 , a memory 620 , a bus 630 , an I / O (input / output) interface 640 , and a network adapter 650 .

[0095] The memory 620 may include volatile memory, such as RAM 621 and cache unit 622, and may also include non-volatile memory, such as ROM 623. The memory 620 may also include one or more program modules 624. Such program modules 624 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. For example, the program modules 624 may include the modules in the aforementioned devices.

[0096] The processor 610 may include one or more processing units, for example: the processor 610 may include an AP (Application Processor), a modem processor, a GPU (Graphics Processing Unit), an ISP (Image Signal Processor), a controller, an encoder, a decoder, a DSP (Digital Signal Processor), a baseband processor and / or an NPU (Neural-Network Processing Unit) and other processing units.

[0097] The processor 610 can be used to execute executable instructions stored in the memory 620, which may include method steps of various exemplary embodiments of the present disclosure, for example: step S310, obtaining first monitoring data through the strain monitoring equipment of the monitoring system; step S320, obtaining second monitoring data through the settlement monitoring equipment of the monitoring system; step S330, obtaining third monitoring data through the vibration monitoring equipment of the monitoring system; step S340, determining the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data.

[0098] The above method is executed based on the processor 610, the first monitoring data is obtained through the strain monitoring equipment, the second monitoring data is obtained through the settlement monitoring equipment, and the third monitoring data is obtained through the vibration monitoring equipment. The target monitoring data is determined based on the three types of monitoring data. This can make up for the problem of insufficient monitoring of some monitoring information at some points by a single monitoring data, which is conducive to obtaining comprehensive and sufficient monitoring results.

[0099] The bus 630 is used to realize the connection between different components of the electronic device 600 and may include a data bus, an address bus, and a control bus.

[0100] The electronic device 600 can communicate with one or more external devices 700 (eg, a keyboard, a mouse, an external controller, etc.) through the I / O interface 640 .

[0101] The electronic device 600 can communicate with one or more networks via the network adapter 650. For example, the network adapter 650 can provide mobile communication solutions such as 3G / 4G / 5G, or wireless communication solutions such as wireless LAN, Bluetooth, and near-field communication. The network adapter 650 can communicate with other modules of the electronic device 600 via the bus 630.

[0102] although Figure 6 Not shown, other hardware and / or software modules may also be provided in the electronic device 600, including but not limited to: a display, microcode, device drivers, redundant processors, an external disk drive array, a tape drive, and a data backup storage system.

[0103] As can be seen from the above, the technical solutions of the present disclosure can be implemented as methods, devices, systems, computer program products, storage media, electronic devices, etc. Those skilled in the art will understand that various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation that combines hardware and software aspects, such as "circuit", "module" or "system".

[0104] It should be understood that the present disclosure is not limited to the specific method steps or structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from the scope thereof. Those skilled in the art will easily think of other embodiments based on the specific embodiments provided by the present disclosure. Therefore, the specific embodiments provided by the present disclosure are merely exemplary, and the scope and spirit of the present disclosure are indicated by the claims, which should cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the field of the present technology that are not disclosed in the present disclosure.

Claims

1. A monitoring system for offshore photovoltaic grid, characterized in that: include: A strain monitoring device is provided at a first point of an offshore photovoltaic grid; wherein the first point includes a junction point of different frames of the offshore photovoltaic grid; A settlement monitoring device is provided at a second point of the offshore photovoltaic grid; wherein at least one of the second points is located at an edge area of the offshore photovoltaic grid; The vibration monitoring equipment is set at the third point of the offshore photovoltaic grid; wherein the offshore photovoltaic grid is divided into a plurality of evenly distributed sub-areas, and each sub-area includes a third point.

2. The monitoring system according to claim 1, characterized in that The offshore photovoltaic grid includes two transverse frames and two longitudinal frames. The two transverse frames and the two longitudinal frames have four intersection points, and the first point position includes at least three of the intersection points.

3. The monitoring system according to claim 1, wherein: The first point also includes a midpoint and / or an end point of at least one skeleton.

4. The monitoring system according to any one of claims 1 to 3, characterized in that: At least one of the second points is located in the central area of the offshore photovoltaic grid.

5. A method for monitoring an offshore photovoltaic grid, characterized in that: A monitoring system for an offshore photovoltaic grid as claimed in any one of claims 1 to 4; the method comprising: acquiring first monitoring data through a strain monitoring device of the monitoring system; acquiring second monitoring data through the settlement monitoring device of the monitoring system; acquiring third monitoring data through the vibration monitoring device of the monitoring system; Target monitoring data of the offshore photovoltaic grid is determined based on the first monitoring data, the second monitoring data, and the third monitoring data.

6. The method according to claim 5, characterized in that The target monitoring data includes deformation data; and determining the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data includes: determining first deformation data of a plurality of analysis points of the offshore photovoltaic grid according to the first monitoring data, the second monitoring data, and the third monitoring data; According to the numerical range of the first deformation data, at least one of the first monitoring data, the second monitoring data, and the third monitoring data corresponding to the analysis point is selected, and the second deformation data of the analysis point is obtained through analysis.

7. The method according to claim 6, characterized in that After obtaining the second deformation data of the plurality of analysis points of the offshore photovoltaic grid, the method further includes: A deformation analysis model of the offshore photovoltaic grid is generated based on the second deformation data of the multiple analysis points.

8. A monitoring device for an offshore photovoltaic grid, characterized in that: A monitoring system for an offshore photovoltaic grid as claimed in any one of claims 1 to 4; the device comprising: a first monitoring data acquisition module, configured to acquire first monitoring data through the stress monitoring device of the monitoring system; a second monitoring data acquisition module configured to acquire second monitoring data through the settlement monitoring device of the monitoring system; a third monitoring data acquisition module, configured to acquire third monitoring data through the vibration monitoring device of the monitoring system; The target monitoring data determination module is configured to determine the target monitoring data of the offshore photovoltaic grid based on the first monitoring data, the second monitoring data, and the third monitoring data.

9. A computer program product, characterized in that The method comprises a computer program, which implements the method according to any one of claims 5 to 7 when the computer program is executed by a processor.

10. An electronic device, characterized in that: include: processor; as well as a memory for storing executable instructions of the processor; The processor is configured to perform the method according to any one of claims 5 to 7 by executing the executable instructions.

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