Methods, devices, media and equipment for assessing the health status of offshore photovoltaic mid-pillar foundation groups

Abstract

This disclosure provides a method, apparatus, medium, and equipment for assessing the health status of pile foundation groups in offshore photovoltaic systems, relating to the field of computer technology. The method includes: pre-selecting multiple key pile foundations from each pile foundation using environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, determining detection points on the key pile foundations, and deploying sensing devices at the detection points; in response to the initiation of the pile foundation group health status assessment task, acquiring raw assessment data from the sensing devices deployed on the key pile foundations; performing a multi-dimensional feature extraction process on the raw assessment data to determine the assessment features of each dimension of the key pile foundations; fusing the assessment features of each dimension and inputting the fused features into a trained classifier to determine the health status assessment results of the key pile foundations; and combining the health status assessment results of all key pile foundations to determine the overall health status assessment result of the pile foundation group in the offshore photovoltaic system. This disclosure can effectively assess the health status of pile foundation groups.

Description

Technical Field

[0001] This disclosure relates to the field of computer technology, and more specifically, to a method, apparatus, medium, and equipment for assessing the health status of offshore photovoltaic central pile foundation groups. Background Technology

[0002] Offshore photovoltaics, with its advantages of vast sea space, abundant solar resources, and clean environment, has become one of the important solutions to energy problems.

[0003] With the rapid development of offshore photovoltaic power plants, the health of the pile foundation group has become one of the key factors restricting the safe operation of offshore photovoltaic systems. Currently, there is no scheme for assessing the health status of the pile foundation group.

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

[0005] The purpose of this disclosure is to provide a method, apparatus, medium, and equipment for assessing the health status of offshore photovoltaic (PV) pile foundation groups, thereby overcoming, to at least some extent, the problem of the inability to effectively assess the health status of offshore PV pile foundation groups.

[0006] According to a first aspect of this disclosure, a method for assessing the health status of a pile foundation group in an offshore photovoltaic system is provided, comprising: pre-selecting multiple key pile foundations from each pile foundation using environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, determining detection points on the key pile foundations, and deploying sensing devices at the detection points; wherein the sensing devices are used to acquire raw assessment data, which includes stress data, vibration data, and displacement data of the key pile foundations; in response to the initiation of the pile foundation group health status assessment task, acquiring the raw assessment data from the sensing devices deployed on the key pile foundations; performing a multi-dimensional feature extraction process on the raw assessment data to determine the assessment features of each dimension of the key pile foundations; fusing the assessment features of each dimension and inputting the fused features into a trained classifier to determine the health status assessment result of the key pile foundations; and combining the health status assessment results of all key pile foundations to determine the health status assessment result of the pile foundation group in the offshore photovoltaic system.

[0007] Optionally, multiple key pile foundations are pre-selected from each pile foundation based on the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system. This includes: creating geometric models of each pile foundation and the seabed surface in the offshore photovoltaic system using 3D modeling software; importing the geometric models into the material point method software, applying various loads, and then performing software calculations to obtain calculation results; processing the calculation results using ParaView to obtain load-bearing cloud maps of each pile foundation; and selecting multiple key pile foundations from each pile foundation based on the load-bearing cloud maps.

[0008] Optionally, selecting multiple key pile foundations from each pile foundation based on the load stress cloud map includes: sorting each pile foundation in descending order of load stress based on the load stress cloud map to obtain a sorting result; selecting the top n pile foundations as key pile foundations from the sorting result; where n is a positive integer greater than 1.

[0009] Optionally, the method for assessing the health status of pile foundation groups in offshore photovoltaic systems also includes: obtaining current meteorological and hydrological information; comparing the current meteorological and hydrological information with standard meteorological and hydrological information; and, if the current meteorological and hydrological information is abnormal compared to the standard meteorological and hydrological information, initiating the pile foundation group health status assessment task.

[0010] Optionally, the current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow.

[0011] Optionally, a multi-dimensional feature extraction process is performed on the original assessment data to determine the assessment characteristics of each dimension of the key pile foundation. This includes: normalizing the stress data, vibration data, and displacement data contained in the original assessment data; using a first neural network to extract features from the normalized stress data to determine the stress assessment characteristics of the key pile foundation; using a second neural network to extract features from the normalized vibration data to determine the vibration assessment characteristics of the key pile foundation; and using a third neural network to extract features from the normalized displacement data to determine the displacement assessment characteristics of the key pile foundation.

[0012] Optionally, the fusion of evaluation features from various dimensions includes: converting the stress evaluation features of the key pile foundation into a first evaluation vector; converting the vibration evaluation features of the key pile foundation into a second evaluation vector; converting the displacement evaluation features of the key pile foundation into a third evaluation vector; and connecting the first evaluation vector, the second evaluation vector, and the third evaluation vector end to end to construct a total one-dimensional evaluation vector, which serves as the fused feature.

[0013] Optionally, the stress assessment features, vibration assessment features, and displacement assessment features of the key pile foundation can be spliced ​​together in terms of feature dimensions to form multi-dimensional input features, which are then used as the fused features.

[0014] Optionally, the health status assessment results of the critical pile foundations include a health status assessment level; wherein, by combining the health status assessment results of all critical pile foundations, the health status assessment results of the pile foundation group in the offshore photovoltaic system are determined, including: identifying the target critical pile foundation with the lowest health status assessment level from the health status assessment results of all critical pile foundations; and determining the health status assessment results of the target critical pile foundation as the health status assessment results of the pile foundation group in the offshore photovoltaic system.

[0015] According to a second aspect of this disclosure, a health status assessment device for a pile foundation group in offshore photovoltaic systems is provided, comprising: a key pile foundation determination module, used to pre-select multiple key pile foundations from each pile foundation using the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, determine detection points on the key pile foundations, and deploy sensing devices at the detection points; wherein, the sensing devices are used to acquire raw assessment data, including stress data, vibration data, and displacement data of the key pile foundations; a data acquisition module, used to acquire raw assessment data from the sensing devices deployed on the key pile foundations in response to the initiation of the pile foundation group health status assessment task; a feature extraction module, used to perform a multi-dimensional feature extraction process on the raw assessment data to determine the assessment features of each dimension of the key pile foundations; a first assessment module, used to fuse the assessment features of each dimension and input the fused features into a trained classifier to determine the health status assessment result of the key pile foundations; and a second assessment module, used to combine the health status assessment results of all key pile foundations to determine the health status assessment result of the pile foundation group in the offshore photovoltaic system.

[0016] Optionally, the key pile foundation determination module is used to create geometric models of each pile foundation and the seabed surface in offshore photovoltaic systems using 3D modeling software; import the geometric models into the material point method software, apply various loads, and then perform software calculations to obtain calculation results; process the calculation results using ParaView to obtain load-bearing cloud maps of each pile foundation; and select multiple key pile foundations from each pile foundation based on the load-bearing cloud maps.

[0017] Optionally, the critical pile foundation determination module is used to sort each pile foundation according to the load stress cloud map in descending order of load stress to obtain the sorting result; and select the first n pile foundations as critical pile foundations from the sorting result; where n is a positive integer greater than 1.

[0018] Optionally, the data acquisition module is used to acquire current meteorological and hydrological information; compare the current meteorological and hydrological information with standard meteorological and hydrological information; and if the current meteorological and hydrological information is abnormal compared with the standard meteorological and hydrological information, then initiate the pile foundation group health status assessment task.

[0019] Optionally, the current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow.

[0020] Optionally, the feature extraction module is used to normalize the stress data, vibration data, and displacement data contained in the original evaluation data respectively; to extract features from the normalized stress data using a first neural network to determine the stress evaluation features of the key pile foundation; to extract features from the normalized vibration data using a second neural network to determine the vibration evaluation features of the key pile foundation; and to extract features from the normalized displacement data using a third neural network to determine the displacement evaluation features of the key pile foundation.

[0021] Optionally, the first evaluation module is used to convert the stress evaluation characteristics of the key pile foundation into a first evaluation vector; convert the vibration evaluation characteristics of the key pile foundation into a second evaluation vector; convert the displacement evaluation characteristics of the key pile foundation into a third evaluation vector; and connect the first evaluation vector, the second evaluation vector, and the third evaluation vector end to end to construct a total one-dimensional evaluation vector as the fused features.

[0022] Optionally, the health status assessment results of the critical pile foundations include a health status assessment level. The second assessment module is used to identify the target critical pile foundation with the lowest health status assessment level from all the health status assessment results of the critical pile foundations; the health status assessment results of the target critical pile foundation are then used as the health status assessment results of the pile foundation group in the offshore photovoltaic system.

[0023] According to a third aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the above-described method for assessing the health status of pile foundation groups in offshore photovoltaic systems.

[0024] According to a fourth aspect of this 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-described method for assessing the health status of pile foundation groups in offshore photovoltaic systems by executing the executable instructions.

[0025] In some embodiments of the present disclosure, the technical solutions provided include, on the one hand, the analysis of stress, vibration, and displacement of key pile foundations, which can effectively assess the health status of the pile foundation group with high accuracy. On the other hand, the present disclosure selects and analyzes key pile foundations, thereby avoiding the problem of excessive resource consumption caused by analyzing each pile foundation individually. Furthermore, the present disclosure, combined with the assessment results of the health status of the pile foundation group, enables further equipment maintenance and hazard warnings, improving the safety of offshore photovoltaic systems.

[0026] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0027] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0028] Figure 1 The diagram illustrates a schematic representation of a health status assessment scheme for pile foundation groups in offshore photovoltaic systems, based on an exemplary embodiment of this disclosure.

[0029] Figure 2 A flowchart illustrating an exemplary embodiment of the present disclosure of a method for assessing the health status of pile foundation groups in offshore photovoltaic systems is shown.

[0030] Figure 3 A flowchart illustrating the process of screening key pile foundations according to an embodiment of the present disclosure is shown.

[0031] Figure 4 A block diagram illustrating a health status assessment device for offshore photovoltaic pile foundation groups according to an exemplary embodiment of the present disclosure is shown.

[0032] Figure 5 A block diagram of an electronic device according to an exemplary embodiment of the present disclosure is shown schematically. Detailed Implementation

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

[0034] Furthermore, the accompanying drawings are merely illustrative of this disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0035] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all steps. For example, some steps may be broken down, while others may be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances. Furthermore, all terms such as "first," "second," and "third" used below are for distinction purposes only and should not be construed as limiting the scope of this disclosure.

[0036] Figure 1 This illustration schematically depicts a health status assessment scheme for pile foundation groups in offshore photovoltaic systems, based on an exemplary embodiment of this disclosure. (Reference) Figure 1 The health status assessment scheme for offshore photovoltaic pile foundation groups according to this disclosure may include a critical pile foundation identification process and a pile foundation group health status assessment process. It is understood that the critical pile foundation identification process can be a pre-executed process; once the critical pile foundations are identified, subsequent analyses can utilize them. The pile foundation group health status assessment process, on the other hand, is a process performed when the assessment requirement arises.

[0037] For the pre-executed critical pile foundation identification process, multiple critical pile foundations can be selected from each pile foundation using the environmental characteristics corresponding to each pile foundation in offshore photovoltaic systems. For each critical pile foundation, in order to obtain relevant data, detection points can be identified on the critical pile foundation, and sensing devices can be deployed at these points. The sensing devices are used to acquire raw evaluation data, which may include at least one of the following types: stress data, vibration data, and displacement data.

[0038] For the health status assessment process of the pile foundation group, firstly, in response to the initiation of the pile foundation group health status assessment task, raw assessment data can be acquired from the sensing devices deployed on the key pile foundations. Next, a multi-dimensional feature extraction process can be performed on this data to determine the assessment features of each dimension of the key pile foundations. Subsequently, the assessment features of each dimension can be fused, and the fused features can be input into a trained classifier to determine the health status assessment result of the key pile foundations. Finally, the health status assessment results of all key pile foundations can be combined to determine the overall health status assessment result of the pile foundation group in the offshore photovoltaic system.

[0039] like Figure 1As shown, after determining the health status assessment results of the pile foundation group in offshore photovoltaic systems, operations such as outputting assessment results, issuing alarms, and maintenance can also be performed, and this disclosure does not impose any restrictions on these operations.

[0040] The following describes the method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to embodiments of this disclosure. It should be noted that each step of the method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to embodiments of this disclosure can be performed by electronic devices, such as servers, personal computers, mobile devices, etc., and this disclosure does not impose any limitations on this.

[0041] Figure 2 A flowchart illustrating an exemplary embodiment of the method for assessing the health status of pile foundation groups in offshore photovoltaic systems is shown. (Reference) Figure 2 The health status assessment method for offshore photovoltaic (PV) pile foundation groups may include the following steps:

[0042] S20. In advance, multiple key pile foundations are selected from each pile foundation by utilizing the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, the detection points on the key pile foundations are determined, and sensing devices are deployed at the detection points.

[0043] In an exemplary embodiment of this disclosure, the location of the detection points on the critical pile foundation can be determined manually. Furthermore, considering the marine pile foundation environment, to address failure risks such as corrosion, redundant detection points can be configured, i.e., 20% to 30% more detection points than theoretically designed.

[0044] The sensing devices can be used to acquire raw assessment data. Specifically, the raw assessment data may include stress data, vibration data, and displacement data of key pile foundations. It is understood that the sensing devices described in this disclosure can be a collection of various sensing and detection units. In addition, compared with this integrated collection, sensing devices can also be distributed at detection points, and this disclosure does not limit this.

[0045] According to some embodiments of this disclosure, key pile foundations can be selected based on the stress conditions of each pile foundation. See below for further details. Figure 3 These embodiments are described below.

[0046] In step S300, geometric models of each pile foundation and the seabed surface in the offshore photovoltaic system are created using 3D modeling software.

[0047] Specifically, through manual operation, the geometric models of each pile foundation and the seabed surface in the offshore photovoltaic system are created using the various modules of 3D modeling software. The specific parameter data can be obtained based on project design and on-site data, such as the location of each pile foundation, the type of each pile foundation, the depth of the seabed surface, and the soil type of the seabed surface.

[0048] In step S302, the geometric model is imported into the material point method software, and after applying various loads, the software is used to perform calculations to obtain the calculation results.

[0049] In these embodiments, the loads include, for example, ocean current loads, wind loads, and the photovoltaic system's own load, and this disclosure does not limit this. Furthermore, for data accuracy, these loads can be obtained through multiple on-site measurements.

[0050] After identifying various loads, these load constraints can be manually input into a computer, where the material point method software will perform calculations to obtain the results.

[0051] In step S304, ParaView is used to process the calculation results to obtain the load-bearing cloud diagram of each pile foundation.

[0052] Next, several key pile foundations can be selected from each pile foundation based on the load stress cloud diagram. For details, please refer to steps S306 and S308.

[0053] In step S306, based on the load stress cloud map, each pile foundation is sorted in descending order of load stress to obtain the sorting result.

[0054] In step S308, the top n pile foundations are selected as key pile foundations from the sorting results.

[0055] Specifically, n is a positive integer greater than 1.

[0056] According to other embodiments of this disclosure, key pile foundations can be selected directly based on the soil type of the seabed surface. Specifically, pile foundations in areas with thin seabed soil layers, steep slopes, or reefs can be selected as key pile foundations.

[0057] According to further embodiments of this disclosure, key piles can also be selected based on the relative positions of the piles in the pile array. For example, the center pile and corner piles in the pile array can be selected as key piles. As another example, one pile can be selected every four piles as a key pile.

[0058] S22. In response to the initiation of the pile foundation health status assessment task, acquire raw assessment data from the sensing devices deployed on the critical pile foundations.

[0059] In an exemplary embodiment of this disclosure, the initiation of a pile foundation group health assessment task can be used as a condition for the current execution of the algorithm process.

[0060] According to some embodiments of this disclosure, it can be determined whether to initiate a health assessment task for a pile foundation group based on meteorological and hydrological conditions.

[0061] First, the electronic device can acquire current meteorological and hydrological information, which includes one or a combination of information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow. Next, the electronic device can compare the current meteorological and hydrological information with standard meteorological and hydrological information. If the current meteorological and hydrological information is abnormal compared to the standard meteorological and hydrological information, a pile foundation health status assessment task is initiated; if the current meteorological and hydrological information is within the normal range, the pile foundation health status assessment task is not initiated. Furthermore, this disclosure does not restrict the information comparison process or the criteria for determining abnormality; these can all be predefined. It is understood that the aforementioned standard meteorological and hydrological information, corresponding to the current meteorological and hydrological information, can also include one or a combination of information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow.

[0062] According to other embodiments of this disclosure, the pile foundation group health status assessment task can be initiated at predetermined time intervals (e.g., once a week, every half month, once a month, etc.). That is, when the predetermined task initiation time arrives, the electronic device automatically initiates the pile foundation group health status assessment task.

[0063] When a pile foundation health status assessment task is initiated, electronic equipment can acquire raw assessment data from sensors deployed on key pile foundations. It is understood that the raw assessment data is the original sensor data currently collected by the sensors.

[0064] S24. Perform a multi-dimensional feature extraction process on the original assessment data to determine the assessment characteristics of each dimension of the key pile foundation.

[0065] According to some embodiments of this disclosure, firstly, the stress data, vibration data, and displacement data included in the original evaluation data can be normalized. Normalization ensures consistent rules for subsequent data calculations, facilitating computation. Next, on one hand, a first neural network can be used to extract features from the normalized stress data to determine the stress evaluation characteristics of the key pile foundation; on the other hand, a second neural network can be used to extract features from the normalized vibration data to determine the vibration evaluation characteristics of the key pile foundation; furthermore, a third neural network can be used to extract features from the normalized displacement data to determine the displacement evaluation characteristics of the key pile foundation.

[0066] The first, second, and third neural networks mentioned above are all convolutional neural networks built based on convolutional layers and pooling layers. This disclosure does not limit their network structure or training process.

[0067] S26. The evaluation features of each dimension are fused together, and the fused features are input into the trained classifier to determine the health status assessment results of the key pile foundation.

[0068] According to some embodiments of this disclosure, firstly, the stress assessment characteristics of the critical pile foundation can be converted into a first assessment vector, the vibration assessment characteristics of the critical pile foundation can be converted into a second assessment vector, and the displacement assessment characteristics of the critical pile foundation can be converted into a third assessment vector.

[0069] Next, the first evaluation vector, the second evaluation vector, and the third evaluation vector can be concatenated end to end to construct a total one-dimensional evaluation vector, which serves as the fused feature.

[0070] Then, the fused features are input into the trained classifier to determine the health status assessment results of the key pile foundation.

[0071] According to other embodiments of this disclosure, the stress assessment features, vibration assessment features, and displacement assessment features of the critical pile foundation can be concatenated along their feature dimensions to form multi-dimensional input features. These multi-dimensional features are then input into a trained classifier to determine the health status assessment result of the critical pile foundation. It should be noted that the classifiers in these embodiments are not the same as the classifier described above that uses a one-dimensional assessment vector as input; at least in terms of the number of neurons in the classifier's input layer and the parameter configuration, they are different machine learning models.

[0072] S28. Combine the health status assessment results of all key pile foundations to determine the health status assessment results of the pile foundation group in offshore photovoltaic projects.

[0073] In an exemplary embodiment of this disclosure, the health status assessment results of the critical pile foundation include a health status assessment level. For example, the health level can be characterized by grades A, B, C, and D, with grade A being the healthiest and grade D being the least healthy. Alternatively, the health level can be characterized by normal, warning, or failure. This disclosure does not impose any limitations on this.

[0074] In this scenario, electronic devices can identify the target critical pile with the lowest health status assessment level from all critical pile health status assessment results, and determine the health status assessment result of the target critical pile as the health status assessment result of the pile group in offshore photovoltaic.

[0075] In addition, the health status of the pile foundation group can be characterized by multiple key pile foundations. Taking five key pile foundations as an example, similar health status assessment results such as 4A1B, 3A1B1C, and 5A can be formed.

[0076] Furthermore, after obtaining the health status assessment results of the offshore photovoltaic central pile foundation group, the electronic equipment can also perform operations such as outputting assessment results, issuing alarms, and performing maintenance, which are not limited in this disclosure.

[0077] It should be noted that although the steps of the method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0078] Furthermore, this example embodiment also provides a health status assessment device for offshore photovoltaic pile foundation groups.

[0079] Figure 4 A block diagram schematically illustrates a health status assessment device for pile foundation groups in offshore photovoltaic systems, representing an exemplary embodiment of this disclosure. (Reference) Figure 4 The offshore photovoltaic pile foundation group health status assessment device 4 according to an exemplary embodiment of the present disclosure may include a key pile foundation determination module 41, a data acquisition module 43, a feature extraction module 45, a first assessment module 47, and a second assessment module 49.

[0080] According to an exemplary embodiment of this disclosure, the key pile foundation determination module 41 can be used to create geometric models of each pile foundation and the seabed surface in offshore photovoltaic using three-dimensional modeling software; import the geometric model into the material point method software, apply various loads and perform software calculations to obtain calculation results; process the calculation results using ParaView to obtain load stress cloud diagrams of each pile foundation; and select multiple key pile foundations from each pile foundation based on the load stress cloud diagrams.

[0081] According to an exemplary embodiment of this disclosure, the critical pile foundation determination module 41 can be used to sort each pile foundation in descending order of load force based on the load force cloud map to obtain a sorting result; and select the first n pile foundations as critical pile foundations from the sorting result; where n is a positive integer greater than 1.

[0082] According to an exemplary embodiment of this disclosure, the data acquisition module 43 can be used to acquire current meteorological and hydrological information; compare the current meteorological and hydrological information with standard meteorological and hydrological information; and if the current meteorological and hydrological information is abnormal compared to the standard meteorological and hydrological information, initiate a pile foundation group health status assessment task.

[0083] According to an exemplary embodiment of this disclosure, the feature extraction module 45 can be used to perform data normalization processing on the stress data, vibration data and displacement data contained in the original evaluation data respectively; use a first neural network to extract features from the normalized stress data to determine the stress evaluation features of the key pile foundation; use a second neural network to extract features from the normalized vibration data to determine the vibration evaluation features of the key pile foundation; and use a third neural network to extract features from the normalized displacement data to determine the displacement evaluation features of the key pile foundation.

[0084] According to an exemplary embodiment of this disclosure, the first evaluation module 47 can be used to convert the stress evaluation features of the key pile foundation into a first evaluation vector; convert the vibration evaluation features of the key pile foundation into a second evaluation vector; convert the displacement evaluation features of the key pile foundation into a third evaluation vector; and connect the first evaluation vector, the second evaluation vector, and the third evaluation vector end to end to construct a total one-dimensional evaluation vector as the fused features.

[0085] According to an exemplary embodiment of this disclosure, the health status assessment result of the critical pile foundation includes a health status assessment level. The second assessment module 49 can be used to determine the target critical pile foundation with the lowest health status assessment level from all the health status assessment results of the critical pile foundations; and to determine the health status assessment result of the target critical pile foundation as the health status assessment result of the pile foundation group in the offshore photovoltaic system.

[0086] Since the functional modules of the offshore photovoltaic pile foundation health status assessment device of this embodiment are the same as those in the above-described method embodiments, they will not be described again here.

[0087] In exemplary embodiments of this disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the methods described above is stored. In some possible implementations, various aspects of this disclosure may also be implemented as a program product including program code that, when the program product is run on a terminal device, causes the terminal device to perform the steps of the various exemplary embodiments of this disclosure described in the "Exemplary Methods" section above.

[0088] The program product for implementing the above-described method according to embodiments of the present disclosure may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may 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, the readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0089] The program product may take the form of any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), an optical disk, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0090] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various 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, capable of sending, propagating, or transmitting programs for use by or in conjunction with an instruction execution system, apparatus, or device.

[0091] The program code contained on the readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0092] Program code for performing the operations of this disclosure can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0093] In an exemplary embodiment of this disclosure, an electronic device capable of implementing the above-described method is also provided.

[0094] Those skilled in the art will understand that various aspects of this disclosure can be implemented as a system, method, or program product. Therefore, various aspects of this disclosure can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0095] The following reference Figure 5 To describe an electronic device 500 according to such an embodiment of the present disclosure. Figure 5 The electronic device 500 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments disclosed herein.

[0096] like Figure 5 As shown, the electronic device 500 is presented in the form of a general-purpose computing device. The components of the electronic device 500 may include, but are not limited to: at least one processing unit 510, at least one storage unit 520, a bus 530 connecting different system components (including storage unit 520 and processing unit 510), and a display unit 540.

[0097] 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 of this specification according to various exemplary embodiments of this disclosure. For example, the processing unit 510 can perform various steps of the method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to embodiments of this disclosure.

[0098] Storage unit 520 may include readable media in the form of volatile storage units, such as random access memory (RAM) 5201 and / or cache memory 5202, and may further include read-only memory (ROM) 5203.

[0099] Storage unit 520 may also include a program / utility 5204 having a set (at least one) program module 5205, such program module 5205 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0100] Bus 530 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0101] Electronic device 500 can also communicate with one or more external devices 600 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 500, and / or with any device that enables electronic device 500 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 550. Furthermore, electronic device 500 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 560. As shown, network adapter 560 communicates with other modules of electronic device 500 via bus 530. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with 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.

[0102] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0103] Furthermore, the above figures are merely illustrative of the processes included in the method according to exemplary embodiments of this disclosure and are not intended to be limiting. It is readily understood that the processes shown in the above figures do not indicate or limit the temporal order of these processes. Additionally, it is readily understood that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0104] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0105] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

[0106] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for assessing the health status of pile foundation groups in offshore photovoltaic systems, characterized in that, include: By pre-selecting key pile foundations from each pile foundation using the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, detection points are determined on the key pile foundations. The detection points include redundant detection points, and sensing devices are deployed at the detection points. The sensing devices are used to acquire raw evaluation data, which includes stress data, vibration data, and displacement data of the key pile foundations. The system acquires current meteorological and hydrological information and compares it with standard meteorological and hydrological information. If the current meteorological and hydrological information is abnormal compared to the standard meteorological and hydrological information, a pile foundation group health status assessment task is initiated. In response to the initiation of the pile foundation group health status assessment task, raw assessment data is acquired from the sensing devices deployed on the key pile foundations. The current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow. The original evaluation data is subjected to a multi-dimensional feature extraction process to determine the evaluation features of the key pile foundation in each dimension. The evaluation features of each dimension are fused together, and the fused features are input into the trained classifier to determine the health status evaluation result of the key pile foundation. The health status evaluation result of the key pile foundation includes the health status evaluation level. By combining the health status assessment results of all the aforementioned key pile foundations, the health status assessment results of the pile foundation group in the offshore photovoltaic project can be determined. Among them, several key pile foundations were pre-selected from each pile foundation by utilizing the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, including: Geometric models of each pile foundation and the seabed surface in the offshore photovoltaic system were created using 3D modeling software. The parameter data included the location of each pile foundation, the type of each pile foundation, the depth of the seabed surface, and the soil type of the seabed surface. The geometric model was imported into the material point method software, and after applying various loads, the software was used to calculate the results. The loads included ocean current load, wind load, and photovoltaic self-load, which were obtained through multiple field measurements. The calculation results are processed using ParaView to obtain the load-bearing cloud diagrams of each pile foundation. Based on the load stress cloud map, the pile foundations are sorted in descending order of load stress to obtain the sorting result; Select the top n pile foundations from the sorting results as key pile foundations, where n is a positive integer greater than 1.

2. The method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to claim 1, characterized in that, The original evaluation data undergoes a multi-dimensional feature extraction process to determine the evaluation characteristics of the key pile foundation in each dimension, including: The stress data, vibration data, and displacement data contained in the original evaluation data are respectively normalized. The first neural network is used to extract features from the normalized stress data to determine the stress assessment features of the key pile foundation. The vibration assessment characteristics of the key pile foundation are determined by using a second neural network to extract features from the normalized vibration data. The displacement assessment characteristics of the key pile foundation are determined by using a third neural network to extract features from the normalized displacement data.

3. The method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to claim 2, characterized in that, The fusion of the evaluation features from each dimension includes: The stress assessment characteristics of the key pile foundation are converted into a first assessment vector; The vibration assessment characteristics of the key pile foundation are converted into a second assessment vector; The displacement assessment characteristics of the key pile foundation are converted into a third assessment vector; The first evaluation vector, the second evaluation vector, and the third evaluation vector are concatenated end to end to construct a total one-dimensional evaluation vector, which serves as the fused feature.

4. The method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to claim 2, characterized in that, The fusion of the evaluation features from each dimension includes: The stress assessment features, vibration assessment features, and displacement assessment features of the key pile foundation are spliced ​​together along the feature dimensions to form multi-dimensional input features, which serve as the fused features.

5. The method for assessing the health status of pile foundation groups in offshore photovoltaic systems according to claim 1, characterized in that, Based on the health status assessment results of all the aforementioned key pile foundations, the health status assessment results of the pile foundation group in offshore photovoltaic projects are determined, including: The target critical pile foundation with the lowest health status assessment level was identified from all the health status assessment results of the critical pile foundations. The health status assessment results of the target key pile foundations are determined as the health status assessment results of the pile foundation group in offshore photovoltaic systems.

6. A health status assessment device for offshore photovoltaic pile foundation groups, characterized in that, include: The critical pile foundation identification module is used to pre-select multiple critical pile foundations from each pile foundation using the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic system, and to determine the detection points on the critical pile foundations. The detection points include redundant detection points, and sensing devices are deployed at the detection points. The sensing devices are used to acquire raw evaluation data, which includes stress data, vibration data, and displacement data of the critical pile foundations. The data acquisition module is used to acquire current meteorological and hydrological information, compare the current meteorological and hydrological information with standard meteorological and hydrological information, and if the current meteorological and hydrological information is abnormal compared with the standard meteorological and hydrological information, initiate a pile foundation group health status assessment task; in response to the initiation of the pile foundation group health status assessment task, acquire raw assessment data from the sensing devices deployed on the key pile foundations; wherein, the current meteorological and hydrological information includes one or a combination of multiple information such as temperature, wind force, wind speed, wind direction, ocean current intensity, ocean current direction, and rain / snow. The feature extraction module is used to perform a multi-dimensional feature extraction process on the original evaluation data to determine the evaluation features of the key pile foundation in each dimension. The first evaluation module is used to fuse the evaluation features of each dimension and input the fused features into the trained classifier to determine the health status evaluation result of the key pile foundation. The health status evaluation result of the key pile foundation includes the health status evaluation level. The second assessment module is used to combine the health status assessment results of all the key pile foundations to determine the health status assessment results of the pile foundation group in the offshore photovoltaic project. The key pile foundation determination module is used to create geometric models of each pile foundation and the seabed surface in the offshore photovoltaic system using 3D modeling software. Parameter data includes the location of each pile foundation, the type of each pile foundation, the depth of the seabed surface, and the soil type of the seabed surface. The geometric model is imported into the material point method software, and various loads are applied before the software calculations are performed to obtain the calculation results. These loads include ocean current loads, wind loads, and the photovoltaic system's own loads, which are obtained through multiple on-site measurements. The calculation results are processed using ParaView to obtain load-bearing cloud maps for each pile foundation. Based on these load-bearing cloud maps, the pile foundations are sorted in descending order of load force to obtain a sorting result. The top n pile foundations from the sorting result are selected as key pile foundations, where n is a positive integer greater than 1.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for assessing the health status of offshore photovoltaic pile foundation groups as described in any one of claims 1 to 5.

8. An electronic device, characterized in that, include: processor; as well as Memory for storing the executable instructions of the processor; The processor is configured to implement the method for assessing the health status of offshore photovoltaic pile foundation groups as described in any one of claims 1 to 5 by executing the executable instructions.

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