Offshore photovoltaic pile foundation scouring trend prediction method and device, medium and electronic equipment

Abstract

The invention provides a scouring trend prediction method and device for an offshore photovoltaic pile foundation scouring pit, a medium and electronic equipment, and relates to the field of offshore photovoltaic technologies. The method comprises the following steps: acquiring flow velocity data around a pile foundation corresponding to a plurality of historical time points; determining the scour depth change rate within a preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point; according to the flow velocity data and the scouring depth change rate corresponding to each historical time point, constructing a first mapping relation between the flow velocity data and the scouring depth change rate; acquiring the scouring depth at the current time point, and acquiring current flow velocity data corresponding to the periphery of the pile foundation at the current time point under the condition that the scouring depth at the current time point is smaller than a depth threshold value; and determining the scouring depth change rate of the current time point based on the current flow velocity data and the first mapping relation so as to output a first prediction result. According to the invention, the scouring trend of the scouring pit can be reasonably predicted at low cost.

Description

Technical Field

[0001] The present disclosure relates to the field of offshore photovoltaic technology, and in particular to a method and device for predicting the scour trend of an offshore photovoltaic pile foundation scour pit, as well as a medium and electronic equipment. Background Art

[0002] With the rapid development of offshore photovoltaic power plants, pile foundation stability has become a key factor restricting their safe operation. The complexity and variability of the offshore environment make pile foundations susceptible to factors such as erosion and corrosion, which can pose safety risks. Therefore, developing a system that can monitor pile foundation stability is crucial for ensuring the safe operation of offshore photovoltaic power plants.

[0003] Currently, traditional on-site monitoring of offshore photovoltaic pile foundation scour pits is costly and cannot cost-effectively and reasonably predict the scour trend of scour pits based on existing seawater velocity data.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in this field. Summary of the Invention

[0005] The purpose of the present disclosure is to provide a method and device, medium and electronic equipment for predicting the scour trend of offshore photovoltaic pile foundation scour pits, thereby at least to a certain extent overcoming the problems of high cost of on-site monitoring of scour pits and the inability to reasonably predict the scour trend of scour pits based on existing seawater flow rate data.

[0006] According to a first aspect of the present disclosure, a method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit is provided, comprising obtaining flow velocity data around the offshore photovoltaic pile foundation corresponding to a plurality of historical time points, wherein the preset time intervals between adjacent historical time points are the same and the intervals are determined based on the seabed soil type around the pile foundation; determining the scour depth change rate within the preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point; constructing a first mapping relationship between the flow velocity data and the scour depth change rate based on the flow velocity data and the scour depth change rate corresponding to each historical time point; obtaining the scour depth at the current time point, and when the scour depth at the current time point is less than a depth threshold, obtaining the current flow velocity data corresponding to the pile foundation at the current time point; determining the scour depth change rate at the current time point based on the current flow velocity data and the first mapping relationship to output a first prediction result.

[0007] Optionally, the scour depth change rate within a preset time interval from each historical time point is determined as the scour depth change rate corresponding to each historical time point, including: obtaining the first scour depth of the offshore photovoltaic pile foundation scour pit at each historical time point; obtaining the second scour depth of the offshore photovoltaic pile foundation scour pit after a preset time interval from each historical time point; determining the scour depth change rate within a preset time interval from each historical time point based on the first scour depth, the second scour depth and the preset time interval, as the scour depth change rate corresponding to each historical time point.

[0008] Optionally, based on the flow velocity data and the scour depth change rate corresponding to each historical time point, a first mapping relationship between the flow velocity data and the scour depth change rate is constructed, including: fitting the flow velocity data and the scour depth change rate corresponding to each historical time point to construct a first mapping relationship between the flow velocity data and the scour depth change rate.

[0009] Optionally, the method for determining the depth threshold includes: determining a reference pile foundation in history that is consistent with the pile foundation environment; and obtaining the depth corresponding to the reference pile foundation at the beginning of the scour pit being in a stable state as the depth threshold.

[0010] Optionally, the scour trend prediction method also includes: determining the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point; constructing a second mapping relationship between the flow rate data and the shape feature change rate based on the flow rate data and the shape feature change rate corresponding to each historical time point; determining the shape feature change rate at the current time point based on the current flow rate data and the second mapping relationship to output a second prediction result.

[0011] Optionally, determining the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point includes: obtaining the plane area change rate within a preset time interval from each historical time point as the plane area change rate corresponding to each historical time point; obtaining the average slope change rate within a preset time interval from each historical time point as the average slope change rate corresponding to each historical time point.

[0012] Optionally, the scour trend prediction method also includes: when the seabed soil type is the first soil type or the second soil type, outputting the second prediction result after outputting the first prediction result; when the seabed soil type is the third soil type, outputting the first prediction result after outputting the second prediction result.

[0013] According to a second aspect of the present disclosure, a scour trend prediction device for an offshore photovoltaic pile foundation scour pit is provided, comprising: a first data acquisition module for acquiring flow velocity data around the offshore photovoltaic pile foundation corresponding to a plurality of historical time points, wherein the preset time intervals between adjacent historical time points are the same and the intervals are determined based on the seabed soil type around the pile foundation; a first data processing module for determining the scour depth change rate within a preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point; a second data processing module for constructing a first mapping relationship between flow velocity data and scour depth change rate based on the flow velocity data and scour depth change rate corresponding to each historical time point; a second data acquisition module for acquiring the scour depth at a current time point, and when the scour depth at the current time point is less than a depth threshold, acquiring the current flow velocity data corresponding to the pile foundation at the current time point; a result output module for determining the scour depth change rate at the current time point based on the current flow velocity data and the first mapping relationship to output a first prediction result.

[0014] Optionally, the first data processing module is also used to determine the scour depth change rate within a preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point, including: obtaining the first scour depth of the offshore photovoltaic pile foundation scour pit at each historical time point; obtaining the second scour depth of the offshore photovoltaic pile foundation scour pit after a preset time interval from each historical time point; determining the scour depth change rate within a preset time interval from each historical time point based on the first scour depth, the second scour depth and the preset time interval as the scour depth change rate corresponding to each historical time point.

[0015] Optionally, the second data processing module is also used to construct a first mapping relationship between the flow velocity data and the scour depth change rate based on the flow velocity data and the scour depth change rate corresponding to each historical time point, including: fitting the flow velocity data and the scour depth change rate corresponding to each historical time point to construct a first mapping relationship between the flow velocity data and the scour depth change rate.

[0016] Optionally, the first data processing module is further used to determine the depth threshold value, including: determining a reference pile foundation in history that is consistent with the pile foundation environment; obtaining the depth corresponding to the reference pile foundation when the scour pit begins to be in a stable state as the depth threshold value.

[0017] Optionally, the second data processing module is also used for the scour trend prediction method, which also includes: determining the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point; constructing a second mapping relationship between the flow rate data and the shape feature change rate based on the flow rate data and the shape feature change rate corresponding to each historical time point; determining the shape feature change rate at the current time point based on the current flow rate data and the second mapping relationship to output a second prediction result.

[0018] Optionally, the second data processing module is also used to determine the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point, including: obtaining the plane area change rate within a preset time interval from each historical time point as the plane area change rate corresponding to each historical time point; obtaining the average slope change rate of the slope within a preset time interval from each historical time point as the average slope change rate corresponding to each historical time point.

[0019] Optionally, the result output module for the erosion trend prediction method also includes: when the seabed soil type is the first soil type or the second soil type, outputting the second prediction result after outputting the first prediction result; when the seabed soil type is the third soil type, outputting the first prediction result after outputting the second prediction result.

[0020] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, it implements any of the above-mentioned methods for predicting the scour trend of offshore photovoltaic pile foundation scour pits.

[0021] According to a fourth aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory for storing executable instructions of the processor; the processor is configured to implement any of the above-mentioned methods for predicting scour trends of offshore photovoltaic pile foundation scour pits by executing the executable instructions.

[0022] In the technical solutions provided by some embodiments of the present disclosure, the flow velocity data around the pile foundation at multiple historical time points are obtained, and then the scour depth change rate corresponding to each historical time point is determined, and then a first mapping relationship between the flow velocity data and the scour depth change rate is constructed, and then a first prediction result is output after the scour depth at the current time point is obtained. On the one hand, the present disclosure predicts the future scour trend of the scour pit based on current data and historical data, avoiding the disadvantage of high cost in real-time monitoring; on the other hand, the present disclosure determines the time interval of the sampling time points based on the soil type around the pile in the data acquisition stage, and samples and fits the shape characteristics of the scour pit in the data processing stage, and then obtains a second prediction result as a reference, and outputs the first prediction result or the second prediction result as appropriate, so that the prediction result obtained in this way is reasonable.

[0023] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0025] Figure 1 A flow chart of a method for predicting a scour trend of an offshore photovoltaic pile foundation scour pit according to an exemplary embodiment of the present disclosure is schematically shown.

[0026] Figure 2 A schematic diagram of a flow velocity sensor installed on a pile body is shown.

[0027] Figure 3 A schematic diagram showing the scouring degree of the first soil type and the third soil type per unit time.

[0028] Figure 4 The diagram shows the approximate relationship between time and scour depth and the sampling diagram at each historical time point.

[0029] Figure 5 A graph showing the flow velocity data and scour depth change rate corresponding to each historical time point is shown.

[0030] Figure 6 A graph showing the flow rate data and shape feature change rate corresponding to each historical time point is shown.

[0031] Figure 7 A block diagram of a scour trend prediction device for an offshore photovoltaic pile foundation scour pit according to an exemplary embodiment of the present disclosure is schematically shown.

[0032] Figure 8 A schematic structural diagram of an electronic device suitable for implementing the embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present disclosure will be more comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or that other methods, components, devices, steps, etc. may be employed. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0034] In addition, the accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0035] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all steps. For example, some steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation. In addition, all terms such as "first" and "second" below are used for the purpose of distinction only and should not be construed as limitations of this disclosure.

[0036] The various steps in the following method for predicting the scour trend of offshore photovoltaic pile foundation scour pits are performed by electronic devices. The embodiments of the present disclosure do not limit the type of electronic devices, for example, they can be servers, personal computers, mobile devices, etc.

[0037] Figure 1 The flowchart of the method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to an exemplary embodiment of the present disclosure is schematically shown. Figure 1 The scour trend prediction method for offshore photovoltaic pile foundation scour pits may include the following steps:

[0038] S10. Obtain flow velocity data around the offshore photovoltaic pile foundation corresponding to multiple historical time points, wherein the preset time intervals between adjacent historical time points are the same and the intervals are determined based on the seabed soil type around the pile foundation.

[0039] According to an exemplary embodiment of the present disclosure, Figure 2 As shown, the flow velocity data around the offshore photovoltaic pile foundation corresponding to multiple historical time points can be obtained by the flow velocity sensor 21 pre-installed on the offshore photovoltaic pile foundation, wherein the flow velocity measurement range can be the water area corresponding to the soil with scouring tendency around the pile foundation.

[0040] Although the preset time intervals between adjacent historical time points are the same, different values ​​are required for the same preset time intervals under different soil types around pile foundations, because the scouring effects produced by the same flow rate in the same time under two different soil types are different. Figure 3 For example, the soil in the left image is Type 1, such as dense sand, while the soil in the right image is Type 3, such as soft clay. After the same period of time, the dense sand in the left image has no obvious scour pits, making it difficult to measure changes in the pit depth and shape parameters, while the soft clay in the right image has obvious scour pits. Therefore, the preset time interval should be determined based on the soil type. For example, in the case of medium-dense sand, the preset time interval could be 6 months; in the case of soft clay, the preset time interval could be 1 month.

[0041] S12. Determine the scour depth change rate within a preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point.

[0042] According to an exemplary embodiment of the present disclosure, a multi-beam bathymetric system is used to measure the depth of the offshore photovoltaic pile foundation scour pit at each historical time to obtain a first scour depth. After a preset time interval from each historical time point, the depth of the offshore photovoltaic pile foundation scour pit is measured again to obtain the first scour depth. Finally, the scour depth change rate is determined based on the result of subtracting the first scour depth from the second scour depth and dividing it by the preset time interval. The actual meaning of this scour depth change rate is the scour depth change rate within the preset time interval from each time point, and it can also be understood as the scour depth change rate corresponding to each of the historical time points. Here, the scour depth change rate is valid within the preset time interval. For the convenience of expression, it is referred to as the scour depth change rate corresponding to each of the historical time points.

[0043] by Figure 4 For example, the horizontal axis represents time, and the vertical axis represents the depth of the offshore photovoltaic pile foundation scour pit. t0, t1, t2, and t3 represent historical time points, where t0 represents the initial time and Δt represents the preset time interval. d0 represents the initial scour depth, d1 represents the depth measured after d0, d2 represents the depth measured after d1, and d3 represents the depth measured after d2.

[0044] It should be noted that when calculating the scour depth change rate from the initial time to t1, d0 is used as the first scour depth and d2 is used as the second scour depth; when calculating the scour depth change rate from t1 to t2, d1 is used as the first scour depth and d2 is used as the second scour depth.

[0045] Therefore, the scour depth change rate k0 = (d1-d0) / Δt from t0 can be calculated as the scour depth change rate corresponding to the historical time point t0. Similarly, the scour depth change rate k1 = (d2-d1) / Δt from t1 can be calculated as the scour depth change rate corresponding to the historical time point t1. Similarly, the scour depth change rates at t2 and t3 can be determined.

[0046] For ease of explanation, Figure 4 Only the historical time points t0, t1, t2, and t3 and the corresponding scour depths d0, d1, d2, and d3 are marked. However, in actual calculations, for different soil types, it is necessary to comprehensively consider accuracy and time span to determine the appropriate number of historical time points.

[0047] S14. Construct a first mapping relationship between the flow velocity data and the scour depth change rate according to the flow velocity data and the scour depth change rate corresponding to each historical time point.

[0048] According to some embodiments of the present disclosure, based on the flow velocity data v0, v1, v2, v3 and the scour depth change rates k0, k1, k2, k3 corresponding to the historical time points t0, t1, t2, t3, it is possible to obtain Figure 5 , so that by fitting Figure 5 The first mapping relationship between the flow velocity data and the scour depth change rate is constructed using multiple sets of data in the .

[0049] In an exemplary embodiment of the present disclosure, the shape characteristic change rate of the offshore photovoltaic pile foundation scour pit within a preset time interval Δt from the historical time points t0, t1, t2, and t3 can also be determined as the shape characteristic change rate k0', k1', k2', and k3' corresponding to the historical time points t0, t1, t2, and t3. Based on the flow velocity data v0, v1, v2, and v3 corresponding to the historical time points t0, t1, t2, and t3 and the shape characteristic change rates k0', k1', k2', and k3', it can be obtained Figure 6 , so that by fitting Figure 6 The second mapping relationship between the flow velocity data and the scour depth change rate is constructed using multiple sets of data in the .

[0050] S16. Obtain the scour depth at the current time point, and if the scour depth at the current time point is less than the depth threshold, obtain the current flow velocity data corresponding to the pile foundation at the current time point.

[0051] According to an exemplary embodiment of the present disclosure, after determining the first mapping relationship based on data at historical time points, current flow rate data at the current time point may be acquired to be mapped to the scour depth change rate through the first mapping relationship.

[0052] It is understandable that when the scour depth of the offshore photovoltaic pile foundation scour pit reaches a stable state, the rate of change of the offshore photovoltaic pile foundation scour pit depth is no longer significantly positively correlated with the flow velocity. To ensure the accuracy of the prediction results, the depth threshold can be obtained by subtracting the reserved depth from the offshore photovoltaic pile foundation scour pit depth in the stable state. Alternatively, the offshore photovoltaic pile foundation scour pit depth in the stable state can be directly used as the depth threshold. This reserved depth is determined based on the seabed soil type.

[0053] After determining the depth threshold, the scour depth at the current time point is obtained and it is determined whether it is less than the depth threshold. If the scour depth at the current time point is less than the depth threshold, the current flow velocity data corresponding to the pile foundation at the current time point is obtained.

[0054] S18. Determine the scour depth change rate at the current time point based on the current flow velocity data and the first mapping relationship to output a first prediction result.

[0055] According to an exemplary embodiment of the present disclosure, after obtaining the current flow velocity data corresponding to the pile foundation at the current time point, the scour depth change rate at the current time point can be determined based on the first mapping relationship and output as the first prediction result.

[0056] In an exemplary embodiment of the present disclosure, after obtaining the current flow velocity data corresponding to the pile foundation and pile periphery at the current time point, a second mapping relationship between the flow velocity data and the shape feature change rate can be constructed based on the flow velocity data and the shape feature change rate corresponding to each historical time point, and the shape feature change rate at the current time point can be determined based on the current flow velocity data and the second mapping relationship to output a second prediction result.

[0057] In addition, in order to optimize the prediction results, when the seabed soil of the offshore photovoltaic pile foundation is the first soil type or the second soil type, the first prediction result can be output first, and then the second prediction result can be output as an alternative; when the seabed soil of the offshore photovoltaic pile foundation is the third soil type, the second prediction result can be output first, and then the first prediction result can be output as an alternative.

[0058] In the classification of soil types in the present disclosure, the first soil type is a soil type with a higher bearing capacity, which may include dense sand layers and hard clay; the second soil type is a soil type with a moderate bearing capacity, which may include medium-dense sand layers and calcareous soil; the third soil type is a soil type with a weaker bearing capacity or other complex soil types, which may include soft clay and loose sand layers.

[0059] It should be noted that although the steps of the method of the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all steps must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0060] Furthermore, this example embodiment also provides a scour trend prediction device for an offshore photovoltaic pile foundation scour pit.

[0061] Figure 7 Schematically shows a block diagram of a device for acquiring subject-related information according to an exemplary embodiment of the present disclosure. Figure 7 According to an exemplary embodiment of the present disclosure, the subject-related information acquisition device 7 may include a first data acquisition module 71 , a first data processing module 73 , a second data processing module 75 , a second data acquisition module 77 and a result output module 79 .

[0062] Specifically, the first data acquisition module 71 can be used to obtain flow velocity data around the offshore photovoltaic pile foundation corresponding to multiple historical time points, wherein the preset time intervals between adjacent historical time points are the same and the intervals are determined based on the seabed soil type around the pile foundation; the first data processing module 73 can be used to determine the scour depth change rate within the preset time interval from each of the historical time points as the scour depth change rate corresponding to each of the historical time points; the second data processing module 75 can be used to construct a first mapping relationship between flow velocity data and scour depth change rate based on the flow velocity data and scour depth change rate corresponding to each of the historical time points; the second data acquisition module 77 can be used to obtain the scour depth at the current time point, and when the scour depth at the current time point is less than the depth threshold, obtain the current flow velocity data corresponding to the pile foundation at the current time point; the result output module 79 can be used to determine the scour depth change rate at the current time point based on the current flow velocity data and the first mapping relationship to output a first prediction result.

[0063] According to an exemplary embodiment of the present disclosure, the first data processing module 71 can be used to determine the scour depth change rate within a preset time interval from each historical time point as the scour depth change rate corresponding to each historical time point, including: obtaining the first scour depth of the offshore photovoltaic pile foundation scour pit at each historical time point; obtaining the second scour depth of the offshore photovoltaic pile foundation scour pit after a preset time interval from each historical time point; determining the scour depth change rate within a preset time interval from each historical time point based on the first scour depth, the second scour depth and the preset time interval as the scour depth change rate corresponding to each historical time point.

[0064] According to an exemplary embodiment of the present disclosure, the second data processing module 75 can be used to construct a first mapping relationship between flow velocity data and scour depth change rate based on the flow velocity data and scour depth change rate corresponding to each historical time point, including: fitting the flow velocity data and scour depth change rate corresponding to each historical time point to construct a first mapping relationship between the flow velocity data and the scour depth change rate.

[0065] According to an exemplary embodiment of the present disclosure, the first data processing module 73 can be used for a method of determining a depth threshold including: determining a reference pile foundation in history that is consistent with the pile foundation environment; obtaining the depth corresponding to the reference pile foundation at the beginning of the scour pit in a stable state as the depth threshold.

[0066] According to an exemplary embodiment of the present disclosure, the second data processing module 75 can be used for the flushing trend prediction method, which also includes: determining the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point; constructing a second mapping relationship between the flow rate data and the shape feature change rate based on the flow rate data and the shape feature change rate corresponding to each historical time point; determining the shape feature change rate at the current time point based on the current flow rate data and the second mapping relationship to output a second prediction result.

[0067] According to an exemplary embodiment of the present disclosure, the second data processing module 77 can be used to determine the shape feature change rate within a preset time interval from each historical time point as the shape feature change rate corresponding to each historical time point, including: obtaining the plane area change rate within a preset time interval from each historical time point as the plane area change rate corresponding to each historical time point; obtaining the average slope change rate of the slope within a preset time interval from each historical time point as the average slope change rate corresponding to each historical time point.

[0068] According to an exemplary embodiment of the present disclosure, the result output module 79 can be used for the scour trend prediction method, which also includes: when the seabed soil type is the first soil type or the second soil type, outputting the second prediction result after outputting the first prediction result; when the seabed soil type is the third soil type, outputting the first prediction result after outputting the second prediction result.

[0069] Since the functional modules of the scour trend prediction device for offshore photovoltaic pile foundation scour pits in the embodiment of the present disclosure are the same as those in the above-mentioned method embodiment, they will not be described in detail here.

[0070] In exemplary embodiments of the present disclosure, a computer-readable storage medium is also provided, on which is stored a program product capable of implementing the aforementioned methods of this specification. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to execute the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of the present disclosure.

[0071] The program product for implementing the above-mentioned method according to an embodiment of the present disclosure may be a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0072] The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more conductors, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical disk, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0073] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0074] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0075] Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, and the like, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0076] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0077] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods, or program products. Therefore, various aspects of the present disclosure may be implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "circuits," "modules," or "systems."

[0078] Refer to the following Figure 8 An electronic device 800 according to this embodiment of the present invention will be described. Figure 8 The electronic device 800 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present invention.

[0079] like Figure 8 As shown, electronic device 800 is implemented as a general-purpose computing device. Components of electronic device 800 may include, but are not limited to, the aforementioned at least one processing unit 810, the aforementioned at least one storage unit 820, a bus 830 connecting various system components (including storage unit 820 and processing unit 810), and a display unit 840.

[0080] The storage unit stores program codes, which can be executed by the processing unit 810, so that the processing unit 810 performs the steps according to various exemplary embodiments of the present invention described in the above “Exemplary Method” section of this specification. For example, the processing unit 810 can perform the following steps: Figure 1 Steps S10 to S18 shown in FIG.

[0081] The storage unit 820 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 8201 and / or a cache memory unit 8202 , and may further include a read-only memory unit (ROM) 8203 .

[0082] The storage unit 820 may also include a program / utility 8204 having a set (at least one) of program modules 8205, such program modules 8205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0083] Bus 830 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0084] The electronic device 800 can also communicate with one or more external devices 900 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 800, and / or any device that enables the electronic device 800 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication can occur via an input / output (I / O) interface 850. Furthermore, the electronic device 800 can also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 860. As shown, the network adapter 860 communicates with other modules of the electronic device 800 via a bus 830. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 800, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0085] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

[0086] Furthermore, the above-described figures are merely illustrative of the processes included in the method according to exemplary embodiments of the present invention and are not intended to be limiting. It is readily understood that the processes illustrated in the above-described figures do not indicate or limit the temporal order of these processes. Furthermore, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0087] It should be noted that although several modules or units of the device for action execution are mentioned in the detailed description above, this division is not mandatory. In fact, according to the 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.

[0088] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0089] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit, characterized in that: include: Obtaining flow velocity data around an offshore photovoltaic pile foundation corresponding to a plurality of historical time points, wherein the preset time intervals between adjacent historical time points are the same and the preset time intervals are determined based on the seabed soil type around the pile foundation; Determining a scour depth change rate within the preset time interval from each of the historical time points as the scour depth change rate corresponding to each of the historical time points; Constructing a first mapping relationship between the flow velocity data and the scour depth change rate according to the flow velocity data and the scour depth change rate corresponding to each of the historical time points; Obtaining the scour depth at the current time point, and if the scour depth at the current time point is less than a depth threshold, obtaining current flow velocity data corresponding to the pile foundation at the current time point; The scour depth change rate at the current time point is determined based on the current flow velocity data and the first mapping relationship to output a first prediction result.

2. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 1, characterized in that: Determining the scour depth change rate within the preset time interval from each of the historical time points as the scour depth change rate corresponding to each of the historical time points includes: Obtaining a first scouring depth of the offshore photovoltaic pile foundation scouring pit at each of the historical time points; Obtaining a second scouring depth of the offshore photovoltaic pile foundation scouring pit after the preset time interval from each of the historical time points; A scour depth change rate within the preset time interval from each of the historical time points is determined according to the first scour depth, the second scour depth, and the preset time interval as the scour depth change rate corresponding to each of the historical time points.

3. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 1, characterized in that: Constructing a first mapping relationship between the flow velocity data and the scour depth change rate according to the flow velocity data and the scour depth change rate corresponding to each of the historical time points includes: The flow velocity data and the scour depth change rate corresponding to each of the historical time points are fitted to construct a first mapping relationship between the flow velocity data and the scour depth change rate.

4. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 1, characterized in that: The method for determining the depth threshold includes: Determine a historical reference pile foundation that is consistent with the surrounding environment of the offshore photovoltaic pile foundation; The depth corresponding to the reference pile foundation at the beginning of the scour pit being in a stable state is obtained, and the depth threshold is determined by subtracting a reserved depth from the depth, where the reserved depth is determined based on the seabed soil type.

5. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 1, characterized in that: The scour trend prediction method further includes: Determining a shape feature change rate within the preset time interval from each of the historical time points as the shape feature change rate corresponding to each of the historical time points; constructing a second mapping relationship between the flow velocity data and the shape feature change rate according to the flow velocity data and the shape feature change rate corresponding to each of the historical time points; The shape feature change rate at the current time point is determined based on the current flow velocity data and the second mapping relationship to output a second prediction result.

6. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 5, characterized in that: Determining the shape feature change rate within the preset time interval from each of the historical time points as the shape feature change rate corresponding to each of the historical time points includes: Obtaining a plane area change rate within the preset time interval from each of the historical time points as the plane area change rate corresponding to each of the historical time points; The average slope change rate of the side slope within the preset time interval from each of the historical time points is obtained as the average slope change rate corresponding to each of the historical time points.

7. The method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to claim 5, characterized in that: The scour trend prediction method further includes: When the seabed soil type is the first soil type or the second soil type, outputting a second prediction result after outputting the first prediction result; When the seabed soil type is the third soil type, the first prediction result is output after the second prediction result is output.

8. A device for predicting the scour trend of an offshore photovoltaic pile foundation scour pit, characterized in that: include: A first data acquisition module is configured to acquire flow velocity data around an offshore photovoltaic pile foundation corresponding to a plurality of historical time points, wherein the preset time intervals between adjacent historical time points are the same and are determined based on the seabed soil type around the pile foundation; a first data processing module, configured to determine a scour depth change rate within the preset time interval from each of the historical time points as the scour depth change rate corresponding to each of the historical time points; A second data processing module is configured to construct a first mapping relationship between the flow velocity data and the scour depth change rate according to the flow velocity data and the scour depth change rate corresponding to each of the historical time points; A second data acquisition module is configured to acquire a scour depth at a current time point, and if the scour depth at the current time point is less than a depth threshold, acquire current flow velocity data corresponding to the pile foundation at the current time point; The result output module is configured to determine a scour depth change rate at the current time point based on the current flow velocity data and the first mapping relationship, so as to output a first prediction result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: processor; A memory for storing one or more programs, which, when executed by the processor, enables the processor to implement the method for predicting the scour trend of an offshore photovoltaic pile foundation scour pit according to any one of claims 1 to 7.

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