Seabed stability evaluation method and device in offshore photovoltaic scene, medium and equipment

Abstract

The invention provides a seabed stability evaluation method and device in an offshore photovoltaic scene, a medium and equipment, and relates to the technical field of computers. The method comprises the following steps: collecting seabed surface sediments in an offshore area, determining sediment particle size characteristics and sediment type characteristics according to the collected seabed surface sediments, and evaluating the sediment stability according to the sediment particle size characteristics and the sediment type characteristics; the method comprises the steps of determining historical shoreline data and historical isobath data corresponding to an offshore area in an offshore photovoltaic scene, determining a shoreline advance and retreat rate according to the historical shoreline data, determining an isobath displacement rate according to the historical isobath data, and determining a seabed erosion and deposition rate by combining the shoreline advance and retreat rate and the isobath displacement rate. Evaluating the scouring and silting stability according to the seabed scouring and silting rate; and evaluating the seabed stability by using the evaluation result of the sediment stability and the evaluation result of the erosion and deposition stability. According to the invention, the accuracy of seabed stability evaluation in the offshore photovoltaic scene can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to a method and apparatus, medium, and equipment for evaluating seabed stability in an offshore photovoltaic scenario. Background Art

[0002] Seabed stability is crucial for offshore photovoltaics and a key factor in ensuring the safe and efficient operation of offshore photovoltaic projects. A stable seabed provides solid support for photovoltaic infrastructure, ensuring the stability of equipment, reducing component wear and failure caused by sway and subsidence, extending equipment life, and reducing maintenance costs. It also helps maintain a stable marine ecological environment, ensuring continuous and stable power generation throughout the project's design life, and is of great significance in improving the project's overall efficiency and return on investment.

[0003] At present, the assessment of seabed stability still relies on human experience, which may lead to problems of non-objective assessment and insufficient accuracy.

[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 the field. Summary of the Invention

[0005] The purpose of the present disclosure is to provide a method and device, medium and equipment for evaluating seabed stability in an offshore photovoltaic scenario, thereby overcoming the problem of insufficient accuracy of seabed stability evaluation in an offshore photovoltaic scenario at least to a certain extent.

[0006] According to a first aspect of the present disclosure, a method for assessing seabed stability in an offshore photovoltaic scenario is provided, comprising: collecting seabed surface sediments in the offshore area using a plurality of geological sampling points deployed in the offshore area of ​​the offshore photovoltaic scenario, determining sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments, and assessing sediment stability based on the sediment particle size characteristics and sediment type characteristics; determining historical shoreline data and historical isobath data corresponding to the offshore area in the offshore photovoltaic scenario, determining a shoreline advance and retreat rate based on the historical shoreline data, determining an isobath displacement rate based on the historical isobath data, determining a seabed scouring and silting rate based on the shoreline advance and retreat rate and the isobath displacement rate, and assessing scouring and silting stability based on the seabed scouring and silting rate; and assessing seabed stability using the assessment results of sediment stability and scouring and silting stability.

[0007] Optionally, determining the sediment particle size characteristics based on the collected seabed surface sediments includes: determining the median particle size of the seabed surface sediments; and determining the distribution uniformity of sediments with the median particle size on the seabed surface to obtain the sediment particle size characteristics.

[0008] Optionally, determining the sediment type characteristics based on the collected seabed surface sediments includes: determining the target type sediments in the seabed surface sediments; determining the proportion of the target type sediments in the seabed surface sediments and the distribution uniformity of the target type sediments in the seabed surface; and determining the sediment type characteristics based on the proportion and the distribution uniformity.

[0009] Optionally, determining the sediment type characteristics according to the proportion and distribution uniformity includes: performing data standardization conversion on the distribution uniformity to obtain a weight of the proportion; and determining the sediment type characteristics using the proportion and the weight of the proportion.

[0010] Optionally, determining the shoreline advance and retreat rate based on historical shoreline data includes: constructing a linear regression model, fitting the linear regression model using the historical shoreline data, and determining the shoreline advance and retreat rate from the fitting result.

[0011] Optionally, determining the seabed scouring and silting rate in combination with the shoreline advance and retreat rate and the isobath displacement rate includes: when the shoreline advance and retreat direction is consistent with the isobath displacement direction, determining the weight of the shoreline advance and retreat rate and the weight of the isobath displacement rate according to the sediment type characteristics of the seabed surface sediments; and determining the seabed scouring and silting rate using the shoreline advance and retreat rate, the weight of the shoreline advance and retreat rate, the isobath displacement rate, and the weight of the isobath displacement rate.

[0012] Optionally, evaluating seabed stability using the assessment results of sediment stability and the assessment results of scouring and deposition stability includes: converting the assessment results of sediment stability into a first stability score; converting the assessment results of scouring and deposition stability into a second stability score; calculating the sum of the first stability score and the second stability score to obtain a seabed stability score; if the seabed stability score is greater than or equal to a safety score threshold, outputting information indicating that the seabed stability meets the requirements; if the seabed stability score is less than the safety score threshold, outputting information indicating that the seabed stability does not meet the requirements.

[0013] According to a second aspect of the present disclosure, a seabed stability assessment device in an offshore photovoltaic scenario is provided, comprising: a sediment assessment module for collecting seabed surface sediments in the offshore area using a plurality of geological sampling points deployed in the offshore area in the offshore photovoltaic scenario, determining sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments, and assessing sediment stability based on the sediment particle size characteristics and sediment type characteristics; a scouring and silting assessment module for determining historical shoreline data and historical isobath data corresponding to the offshore area in the offshore photovoltaic scenario, determining a shoreline advance and retreat rate based on the historical shoreline data, determining an isobath displacement rate based on the historical isobath data, determining a seabed scouring and silting rate in combination with the shoreline advance and retreat rate and the isobath displacement rate, and assessing scouring and silting stability based on the seabed scouring and silting rate; and a seabed assessment module for assessing seabed stability using the assessment results of sediment stability and the assessment results of scouring and silting stability.

[0014] Optionally, the sediment assessment module is used to determine the median particle size of the seabed surface sediments; determine the distribution uniformity of the sediments with the median particle size on the seabed surface to obtain the sediment particle size characteristics.

[0015] Optionally, the sediment assessment module is used to determine the target type of sediment in the seabed surface sediments; determine the proportion of the target type of sediment in the seabed surface sediments and the distribution uniformity of the target type of sediment in the seabed surface; and determine the sediment type characteristics based on the proportion and distribution uniformity.

[0016] Optionally, the sediment assessment module is used to perform data standardization conversion on the distribution uniformity to obtain a weight of a proportion; and to determine sediment type characteristics using the proportion and the weight of the proportion.

[0017] Optionally, the scouring and silting assessment module is used to construct a linear regression model, fit the linear regression model using historical shoreline data, and determine the shoreline advance and retreat rate from the fitting results.

[0018] Optionally, the scouring and silting assessment module is used to determine the weight of the shoreline advance and retreat rate and the weight of the isobath displacement rate based on the sediment type characteristics of the seabed surface sediments when the shoreline advance and retreat direction is consistent with the isobath displacement direction; and to determine the seabed scouring and silting rate using the shoreline advance and retreat rate, the weight of the shoreline advance and retreat rate, the isobath displacement rate, and the weight of the isobath displacement rate.

[0019] Optionally, the seabed assessment module is used to convert the assessment result of sediment stability into a first stability score; convert the assessment result of scouring and deposition stability into a second stability score; calculate the sum of the first stability score and the second stability score to obtain a seabed stability score; if the seabed stability score is greater than or equal to a safety score threshold, output information indicating that the seabed stability meets the requirements; if the seabed stability score is less than the safety score threshold, output information indicating that the seabed stability does not meet the requirements.

[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, the method for evaluating seabed stability in an offshore photovoltaic scenario is implemented.

[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 the above-mentioned seabed stability assessment method in an offshore photovoltaic scenario by executing the executable instructions.

[0022] In the technical solutions provided in some embodiments of the present disclosure, on the one hand, the sediments in the sea area are analyzed to evaluate the sediment stability, and the scouring and silting stability of the sea area is analyzed to evaluate the scouring and silting stability. The evaluation results of the stability of the seabed are then combined with the evaluation results of the sediment stability and scouring and silting stability. The present disclosure comprehensively considers the impact of sediments and scouring and silting on the offshore photovoltaic seabed, objectively reflects the factors affecting the stability of the seabed, and the evaluation results are highly accurate. On the other hand, for sediment stability, it involves sediment particle size characteristics and sediment type characteristics. This algorithmic processing method of refined features helps to further improve the accuracy of the evaluation results. On the other hand, for scouring and silting stability, the coastline and isobath are characterized and analyzed separately to obtain the seabed scouring and silting rate, and then obtain the scouring and silting stability evaluation results, thereby further improving the accuracy of the evaluation results.

[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 1A schematic diagram of a seabed stability assessment solution in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure is schematically shown.

[0026] Figure 2 A flow chart of a method for assessing seabed stability in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure is schematically shown.

[0027] Figure 3 A detailed flow chart of evaluating seabed stability using the evaluation results of sediment stability and scouring and deposition stability according to an embodiment of the present disclosure is schematically shown.

[0028] Figure 4 A block diagram of a device for evaluating seabed stability in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure is schematically shown.

[0029] Figure 5 A block diagram schematically illustrates an electronic device according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0030] 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.

[0031] 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.

[0032] 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.

[0033] Figure 1 The following schematically illustrates a schematic diagram of a seabed stability assessment scheme in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure. Figure 1 The embodiment of the present disclosure analyzes seabed surface sediments, historical shoreline data, and historical isobath data to determine the seabed stability assessment results.

[0034] Specifically, on the one hand, surface seafloor sediments are analyzed to determine the sediment particle size and type characteristics, and then the sediment stability assessment results are determined based on the sediment particle size and sediment type characteristics. On the other hand, historical shoreline data are analyzed to determine the shoreline advance and retreat rate, and historical isobath data are analyzed to determine the isobath displacement rate. The scouring and deposition stability assessment results are then determined based on the shoreline advance and retreat rates and the isobath displacement rates. Subsequently, the seabed stability assessment results can be determined based on the sediment stability and scouring and deposition stability assessment results.

[0035] The following describes a method for assessing seabed stability in an offshore photovoltaic scenario according to an embodiment of the present disclosure. It should be noted that each step of the exemplary method for assessing seabed stability in an offshore photovoltaic scenario can be implemented by an electronic device, and this disclosure does not limit the type of electronic device, such as a server, personal computer, or mobile terminal.

[0036] Figure 2 The flowchart of the method for evaluating seabed stability in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure is schematically shown. Figure 2 The seabed stability assessment method under offshore photovoltaic scenarios may include the following steps:

[0037] S22. Collect seabed surface sediments from the offshore area using multiple geological sampling points deployed in the offshore photovoltaic scenario. Determine sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments. Evaluate sediment stability based on the sediment particle size characteristics and sediment type characteristics.

[0038] According to some embodiments of the present disclosure, multiple geological sampling points can be deployed within an offshore area of ​​an offshore photovoltaic scenario. Specifically, the offshore area can be divided into multiple blocks, with a geological sampling point deployed at the center of each block. The sea surface area of ​​each block can be, for example, 2 square kilometers to 4 square kilometers. In addition, each geological sampling point can be equipped with a clam sampler to collect seafloor surface sediments within the offshore area.

[0039] On the one hand, the sediment particle size characteristics can be determined based on the collected seabed surface sediments.

[0040] According to some embodiments of the present disclosure, the electronic device can determine the median particle size of the seabed surface sediments and determine the distribution uniformity of the sediments with the median particle size on the seabed surface to obtain the sediment particle size characteristics.

[0041] It should be noted that the median particle size determined in the embodiment of the present disclosure can be a numerical range, that is, it can be a numerical range obtained by adding or subtracting the error amount from the median of the absolute particle size. The present disclosure does not limit the specific value of the error amount.

[0042] Regarding the process of obtaining the median particle size, in some embodiments of the present disclosure, a particle size detection device can be used to detect the particle size of the seabed surface sediments, and the data can be recorded in an electronic device. The electronic device determines the median of these values ​​to obtain the median particle size.

[0043] In other embodiments of the present disclosure, in the absence of a particle size detection device, a photograph of the seafloor surface sediment can be taken to obtain an image of the seafloor surface sediment. The image can also include a reference object whose particle size is known. Thus, upon acquiring the image, the electronic device can analyze the particle size distribution of the seafloor surface sediment within the image through image analysis. It is understood that the above-mentioned median particle size can be obtained by performing the above-mentioned processing on all seafloor surface sediments or a certain number of seafloor surface sediment samples.

[0044] Since the correspondence between sediments and offshore locations is pre-calibrated, after determining the median particle size, the distribution uniformity of sediments with the median particle size on the seabed surface can be determined, and the description of the distribution uniformity can be determined as the sediment particle size characteristic.

[0045] According to other embodiments of the present disclosure, the description of the distribution uniformity may be subjected to data normalization processing to obtain sediment particle size characteristics applied to subsequent algorithms.

[0046] On the other hand, the sediment type characteristics can be determined based on the collected seabed surface sediments.

[0047] According to some embodiments of the present disclosure, first, the electronic device may determine target type sediments in seafloor surface sediments, wherein the target type sediments may include clay and / or silt.

[0048] Next, the electronic device can determine the proportion of the target type of sediment in the seabed surface sediment and the distribution uniformity of the target type of sediment on the seabed surface, and determine the sediment type characteristics based on the proportion and distribution uniformity.

[0049] Specifically, the distribution uniformity can be converted into data standardization and mapped into a proportional weight, and then the above proportion and the corresponding weight can be used to determine the sediment type characteristics.

[0050] The electronic device can then use the sediment particle size characteristics and sediment type characteristics to evaluate sediment stability. Specifically, given that the above process has standardized the data mapping of the sediment particle size characteristics and the sediment type characteristics, the sum of the sediment particle size characteristics and the sediment type characteristics can be determined as the sediment stability evaluation result.

[0051] S24. Determine the historical shoreline data and historical isobath data corresponding to the offshore area in the offshore photovoltaic scenario, determine the shoreline advance and retreat rate based on the historical shoreline data, determine the isobath displacement rate based on the historical isobath data, determine the seabed scouring and deposition rate based on the shoreline advance and retreat rate and the isobath displacement rate, and evaluate the scouring and deposition stability based on the seabed scouring and deposition rate.

[0052] According to some embodiments of the present disclosure, the electronic device may determine the shoreline advance and retreat rate based on historical shoreline data corresponding to the offshore area in an offshore photovoltaic scenario.

[0053] Specifically, a linear regression model can be constructed, fitted using historical shoreline data, and the shoreline advance and retreat rate can be determined based on the fitting results, where the unit of the shoreline advance and retreat rate is, for example, meters per year.

[0054] Similarly, the displacement rate of the equipotential line can still be determined by linear regression. In order to simplify the processing and improve the processing efficiency, only the equipotential lines of 5 m, 10 m, and 20 m can be processed.

[0055] When determining the shoreline advance and retreat rate and the isobath displacement rate, the two can be combined to characterize the seabed scouring and deposition rate. Specifically, when the shoreline advance and retreat direction is consistent with the isobath displacement direction, the electronic device can determine the weight of the shoreline advance and retreat rate and the weight of the isobath displacement rate based on the sediment type characteristics of the seabed surface sediments. For example, when the sediment type characteristics indicate that the offshore photovoltaic system belongs to a sandy coast, the weight of the shoreline advance and retreat rate is greater than the weight of the isobath displacement rate; when the sediment type characteristics indicate that the offshore photovoltaic system belongs to a muddy coast, the weight of the shoreline advance and retreat rate is less than the weight of the isobath displacement rate. The range of both weights is [0,1].

[0056] Next, the electronic device may determine the seabed erosion and deposition rate using the shoreline advance and retreat rate, the weight of the shoreline advance and retreat rate, the isobath displacement rate, and the weight of the isobath displacement rate. For example, the electronic device may perform a weighted calculation to obtain the seabed erosion and deposition rate.

[0057] In addition, when the direction of shoreline advance and retreat is inconsistent with the direction of displacement of the isobath, the electronic equipment will report an error, thereby reminding the user to check whether the data is wrong.

[0058] It should be noted that the embodiment of the present disclosure does not limit the execution order of step S22 and step S24, that is, step S24 can also be executed before step S22, or step S22 and step S24 can be executed at the same time.

[0059] S26. Assess seabed stability using the sediment stability assessment results and the erosion and deposition stability assessment results.

[0060] refer to Figure 3 , the process of evaluating seabed stability according to the embodiment of the present disclosure is described.

[0061] In step S302 , the evaluation result of the sediment stability may be converted into a first stability score.

[0062] In step S304, the evaluation result of the scouring and silting stability may be converted into a second stability score.

[0063] On the one hand, the embodiment of the present disclosure can convert the results of step S22 and step S24 into corresponding scores through a further data mapping process, and the present disclosure does not limit this process. On the other hand, the present disclosure does not limit the execution order of step S302 and step S304.

[0064] In step S306 , the sum of the first stability score and the second stability score may be calculated to obtain a seabed stability score.

[0065] In step S308, a determination is made as to whether the seabed stability score calculated in step S306 is less than a safety score threshold. If the seabed stability score is greater than or equal to the safety score threshold, step S310 is executed; if the seabed stability score is less than the safety score threshold, step S312 is executed. The safety score threshold is determined based on the safety requirements for offshore photovoltaic pile foundations, and this disclosure does not impose any restrictions on its specific value.

[0066] In step S310, information indicating that the seabed stability meets the requirements may be output. For example, the information may include at least one of text information, voice information, and image information, which is not limited in the present disclosure.

[0067] In step S312, information indicating that the seabed stability does not meet the requirements may be output. Similarly, the information may also include at least one of text information, voice information, and image information, which is not limited in the present disclosure.

[0068] 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.

[0069] Furthermore, this example embodiment also provides a device for evaluating seabed stability in an offshore photovoltaic scenario.

[0070] Figure 4 The block diagram of the device for evaluating seabed stability in an offshore photovoltaic scenario according to an exemplary embodiment of the present disclosure is schematically shown. Figure 4 According to an exemplary embodiment of the present disclosure, the seabed stability assessment device 4 in an offshore photovoltaic scenario may include a sediment assessment module 41 , a scouring and silting assessment module 43 , and a seabed assessment module 45 .

[0071] Specifically, the sediment assessment module 41 can be used to collect seabed surface sediments in the offshore area using multiple geological sampling points deployed in the offshore area of ​​the offshore photovoltaic scenario, determine the sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments, and evaluate the sediment stability based on the sediment particle size characteristics and sediment type characteristics; the scouring and silting assessment module 43 can be used to determine the historical shoreline data and historical isobath data corresponding to the offshore area in the offshore photovoltaic scenario, determine the shoreline advance and retreat rate based on the historical shoreline data, determine the isobath displacement rate based on the historical isobath data, determine the seabed scouring and silting rate based on the shoreline advance and retreat rate and the isobath displacement rate, and evaluate the scouring and silting stability based on the seabed scouring and silting rate; the seabed assessment module 45 can be used to evaluate the seabed stability using the sediment stability assessment results and the scouring and silting stability assessment results.

[0072] According to an exemplary embodiment of the present disclosure, the sediment assessment module 41 can be used to determine the median particle size of the seabed surface sediments; determine the distribution uniformity of the sediments with the median particle size on the seabed surface to obtain the sediment particle size characteristics.

[0073] According to an exemplary embodiment of the present disclosure, the sediment assessment module 41 can be used to determine the target type of sediment in the seabed surface sediments; determine the proportion of the target type of sediment in the seabed surface sediments and the distribution uniformity of the target type of sediment in the seabed surface; and determine the sediment type characteristics based on the proportion and distribution uniformity.

[0074] According to an exemplary embodiment of the present disclosure, the sediment assessment module 41 may be used to perform data standardization conversion on the distribution uniformity to obtain a weight of a proportion; and determine sediment type characteristics using the proportion and the weight of the proportion.

[0075] According to an exemplary embodiment of the present disclosure, the scouring and silting assessment module 43 may be used to construct a linear regression model, fit the linear regression model using historical shoreline data, and determine the shoreline advance and retreat rate from the fitting result.

[0076] According to an exemplary embodiment of the present disclosure, the scouring and silting assessment module 43 can be used to determine the weight of the shoreline advance and retreat rate and the weight of the isobath displacement rate according to the sediment type characteristics of the seabed surface sediments when the shoreline advance and retreat direction is consistent with the isobath displacement direction; and to determine the seabed scouring and silting rate using the shoreline advance and retreat rate, the weight of the shoreline advance and retreat rate, the isobath displacement rate, and the weight of the isobath displacement rate.

[0077] According to an exemplary embodiment of the present disclosure, the seabed assessment module 45 can be used to convert the assessment result of sediment stability into a first stability score; convert the assessment result of scouring and deposition stability into a second stability score; calculate the sum of the first stability score and the second stability score to obtain a seabed stability score; if the seabed stability score is greater than or equal to a safety score threshold, output information indicating that the seabed stability meets the requirements; if the seabed stability score is less than the safety score threshold, output information indicating that the seabed stability does not meet the requirements.

[0078] Since the functional modules of the seabed stability assessment device in an offshore photovoltaic scenario according to 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.

[0079] 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.

[0080] 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.

[0081] 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 with one or more wires, 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.

[0082] 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.

[0083] 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.

[0084] The 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).

[0085] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0086] 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."

[0087] Refer to the following Figure 5 hereinafter, an electronic device 500 according to this embodiment of the present disclosure is described. Figure 5 The electronic device 500 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0088] like Figure 5As shown, electronic device 500 is implemented as a general-purpose computing device. Components of electronic device 500 may include, but are not limited to, the aforementioned at least one processing unit 510, the aforementioned at least one storage unit 520, a bus 530 connecting various system components (including storage unit 520 and processing unit 510), and a display unit 540.

[0089] The storage unit stores program code that can be executed by the processing unit 510, causing the processing unit 510 to perform the steps described in the "Exemplary Methods" section above according to various exemplary embodiments of the present disclosure. For example, the processing unit 510 can perform the steps of the method for assessing seabed stability in an offshore photovoltaic scenario according to an embodiment of the present disclosure.

[0090] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 5201 and / or a cache memory unit 5202 , and may further include a read-only memory unit (ROM) 5203 .

[0091] The storage unit 520 may also include a program / utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 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.

[0092] Bus 530 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.

[0093] The electronic device 500 can also communicate with one or more external devices 600 (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 500, and / or any device that enables the electronic device 500 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 550. Furthermore, the electronic device 500 can 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 560. As shown, the network adapter 560 communicates with other modules of the electronic device 500 via a bus 530. 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 500, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0094] 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.

[0095] Furthermore, the figures above are merely illustrative of the processes included in the methods according to exemplary embodiments of the present disclosure and are not intended to be limiting. It is readily understood that the processes illustrated in the figures above 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.

[0096] 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.

[0097] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing what is disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the claims.

[0098] 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 assessing seabed stability in an offshore photovoltaic scenario, characterized in that: include: collecting seabed surface sediments in the offshore area using multiple geological sampling points deployed in the offshore photovoltaic scenario, determining sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments, and evaluating sediment stability based on the sediment particle size characteristics and sediment type characteristics; Determining historical shoreline data and historical isobath data corresponding to the offshore area in the offshore photovoltaic scenario, determining a shoreline advance and retreat rate based on the historical shoreline data, determining an isobath displacement rate based on the historical isobath data, determining a seabed scouring and deposition rate based on the shoreline advance and retreat rate and the isobath displacement rate, and evaluating scouring and deposition stability based on the seabed scouring and deposition rate; The seabed stability is evaluated using the evaluation results of the sediment stability and the evaluation results of the scouring and silting stability.

2. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 1, characterized in that: Determining the sediment particle size characteristics based on the collected seabed surface sediments includes: determining a median particle size of the seafloor surface sediment; The distribution uniformity of the sediments with the median particle size on the seabed surface is determined to obtain the sediment particle size characteristics.

3. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 1, characterized in that: Determining the sediment type characteristics based on the collected seabed surface sediments includes: determining target sediment types in the seafloor surface sediments; Determining the proportion of the target type of sediment in the seabed surface sediment and the distribution uniformity of the target type of sediment in the seabed surface; The sediment type characteristics are determined according to the ratio and the distribution uniformity.

4. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 3, characterized in that: Determining sediment type characteristics according to the ratio and the distribution uniformity includes: Performing data standardization conversion on the distribution uniformity to obtain the weight of the proportion; Sediment type characteristics are determined using the ratios and weights of the ratios.

5. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 1, characterized in that: Determining the shoreline advance and retreat rate based on the historical shoreline data includes: A linear regression model is constructed, the historical shoreline data is used to fit the linear regression model, and the shoreline advance and retreat rate is determined from the fitting result.

6. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 1 or 5, characterized in that: Determining the seabed scouring and deposition rate by combining the shoreline advance and retreat rate and the isobath displacement rate includes: In the case where the direction of shoreline advance and retreat is consistent with the direction of isobath displacement, the weight of the shoreline advance and retreat rate and the weight of the isobath displacement rate are determined according to the sediment type characteristics of the seabed surface sediments; The seabed scouring and silting rate is determined using the shoreline advance and retreat rate, the weight of the shoreline advance and retreat rate, the isobath displacement rate, and the weight of the isobath displacement rate.

7. The method for assessing seabed stability in an offshore photovoltaic scenario according to claim 1, characterized in that: Assessing seabed stability using the sediment stability assessment results and the scouring and silting stability assessment results includes: converting the sediment stability assessment result into a first stability score; converting the evaluation result of the scouring and silting stability into a second stability score; calculating a sum of the first stability score and the second stability score to obtain a seabed stability score; If the seabed stability score is greater than or equal to the safety score threshold, outputting information indicating that the seabed stability meets the requirements; If the seabed stability score is less than the safety score threshold, information indicating that the seabed stability does not meet the requirements is output.

8. A device for evaluating seabed stability in an offshore photovoltaic scenario, characterized in that: include: a sediment assessment module, configured to collect seabed surface sediments in the offshore area using a plurality of geological sampling points deployed in the offshore photovoltaic scenario, determine sediment particle size characteristics and sediment type characteristics based on the collected seabed surface sediments, and assess sediment stability based on the sediment particle size characteristics and sediment type characteristics; a scouring and silting assessment module, configured to determine historical shoreline data and historical isobath data corresponding to an offshore area in the offshore photovoltaic scenario, determine a shoreline advance and retreat rate based on the historical shoreline data, determine an isobath displacement rate based on the historical isobath data, determine a seabed scouring and silting rate based on the shoreline advance and retreat rate and the isobath displacement rate, and assess scouring and silting stability based on the seabed scouring and silting rate; The seabed assessment module is used to assess the seabed stability using the assessment results of the sediment stability and the assessment results of the scouring and silting stability.

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 evaluating seabed stability in an offshore photovoltaic scenario according to any one of claims 1 to 7 is implemented.

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 implement the method for assessing seabed stability in an offshore photovoltaic scenario according to any one of claims 1 to 7 by executing the executable instructions.

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