Offshore photovoltaic pile foundation group health state assessment method and device, medium and equipment

Abstract

The invention provides an offshore photovoltaic pile foundation group health state assessment method and device, a medium and equipment, and relates to the technical field of computers. The method comprises the following steps: screening out a plurality of key pile foundations from pile foundations by utilizing environmental characteristics corresponding to the pile foundations in offshore photovoltaic in advance, determining detection points on the key pile foundations, and deploying sensing equipment at the detection points; in response to starting of the pile foundation group health state assessment task, original assessment data are obtained from sensing equipment deployed on the key pile foundation; performing a fractal-dimension feature extraction process on the original evaluation data to determine evaluation features of each dimension of the key pile foundation; fusing the evaluation features of each dimension, and inputting the fused features into the trained classifier to determine a health state evaluation result of the key pile foundation; and combining the health state evaluation results of all the key pile foundations to determine the health state evaluation result of the offshore photovoltaic pile foundation group. According to the invention, the health state of the pile foundation group can be effectively evaluated.

Description

Background Art

[0002] Offshore photovoltaic power generation has become one of the important solutions to energy problems due to its advantages such as vast offshore space, rich light resources, and clean environment.

[0003] With the rapid development of offshore photovoltaic power stations, the health status of the pile group has become one of the key factors restricting the safe operation of offshore photovoltaics. Currently, there is no solution for evaluating the health status of the pile group.

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

[0005] The purpose of the present disclosure is to provide a method, device, medium, and equipment for evaluating the health status of a pile group in offshore photovoltaics, so as to at least overcome the problem of being unable to effectively evaluate the health status of the pile group in offshore photovoltaics to a certain extent.

[0006] According to a first aspect of the present disclosure, there is provided a method for evaluating the health status of a pile group in offshore photovoltaics, including: screening out a plurality of key piles from each pile by using the environmental characteristics corresponding to each pile in offshore photovoltaics in advance, determining the detection points on the key piles, and deploying sensing devices at the detection points; wherein, the sensing devices are used to obtain original evaluation data, and the original evaluation data includes stress data, vibration data, and displacement data of the key piles; in response to the start of the pile group health status evaluation task, obtaining the original evaluation data from the sensing devices deployed on the key piles; performing a feature extraction process in different dimensions on the original evaluation data to determine the evaluation features of each dimension of the key piles; fusing the evaluation features of each dimension, and inputting the fused features into a trained classifier to determine the health status evaluation result of the key piles; combining the health status evaluation results of all key piles to determine the health status evaluation result of the pile group in offshore photovoltaics.

[0007] Optionally, screening out a plurality of key piles from each pile by using the environmental characteristics corresponding to each pile in offshore photovoltaics in advance includes: creating a geometric model of each pile and the seabed surface layer in offshore photovoltaics by using three-dimensional modeling software; importing the geometric model into the material point method software, performing software calculations after applying various loads to obtain calculation results; using ParaView to process the calculation results to obtain the load stress nephogram of each pile; screening out a plurality of key piles from each pile according to the load stress nephogram.

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

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

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

[0011] Optionally, a process of extracting features in different dimensions from the original evaluation data to determine the evaluation features of each dimension of the key pile foundation includes: respectively performing data normalization processing on the stress data, vibration data and displacement data included in the original evaluation data; using the first neural network to extract features from the normalized stress data to determine the stress evaluation features of the key pile foundation; using the second neural network to extract features from the normalized vibration data to determine the vibration evaluation features of the key pile foundation; using the third neural network to extract features from the normalized displacement data to determine the displacement evaluation features of the key pile foundation.

[0012] Optionally, fusing the evaluation features of each dimension 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; 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 as the fused feature.

[0013] Optionally, splicing the stress evaluation features, vibration evaluation features and displacement evaluation features of the key pile foundation in the feature dimension to form a multi-dimensional input feature as the fused feature.

[0014] Optionally, the health status evaluation result of the key pile foundation includes the health status evaluation level; among them, combining the health status evaluation results of all key pile foundations to determine the health status evaluation result of the pile foundation group in offshore photovoltaic includes: determining the target key pile foundation with the lowest health status evaluation level from the health status evaluation results of all key pile foundations; determining the health status evaluation result of the target key pile foundation as the health status evaluation result of the pile foundation group in offshore photovoltaic.

[0015] According to a second aspect of the present disclosure, there is provided a device for evaluating the health status of a pile group in offshore photovoltaic power generation, including: a key pile determination module, configured to pre-screen a plurality of key piles from each pile by using the environmental characteristics corresponding to each pile in offshore photovoltaic power generation, determine the detection points on the key piles, and deploy sensing devices at the detection points; wherein, the sensing devices are used to obtain original evaluation data, and the original evaluation data includes stress data, vibration data and displacement data of the key piles; a data acquisition module, configured to, in response to the start of the health status evaluation task of the pile group, obtain the original evaluation data from the sensing devices deployed on the key piles; a feature extraction module, configured to perform a feature extraction process in different dimensions on the original evaluation data to determine the evaluation features of each dimension of the key piles; a first evaluation module, configured to fuse the evaluation features of each dimension and input the fused features into a trained classifier to determine the health status evaluation result of the key piles; a second evaluation module, configured to combine the health status evaluation results of all the key piles to determine the health status evaluation result of the pile group in offshore photovoltaic power generation.

[0016] Optionally, the key pile determination module is configured to create a geometric model of each pile and the seabed surface layer in offshore photovoltaic power generation by using 3D modeling software; import the geometric model into the material point method software, perform software calculations after applying various loads to obtain calculation results; use ParaView to process the calculation results to obtain the load stress nephogram of each pile; screen a plurality of key piles from each pile according to the load stress nephogram.

[0017] Optionally, the key pile determination module is configured to sort each pile in descending order of load stress based on the load stress nephogram to obtain a sorting result; select the first n piles from the sorting result as the key piles; wherein, n is a positive integer greater than 1.

[0018] Optionally, the data acquisition module is configured to obtain the current meteorological and hydrological information; compare the current meteorological and hydrological information with the standard meteorological and hydrological information; if the current meteorological and hydrological information is abnormal compared with the standard meteorological and hydrological information, start the health status evaluation task of the pile group.

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

[0020] Optionally, the feature extraction module is used to perform data normalization processing on the stress data, vibration data, and displacement data included in the original evaluation data respectively; use the first neural network to extract features from the normalized stress data to determine the stress evaluation features of the key pile foundations; use the second neural network to extract features from the normalized vibration data to determine the vibration evaluation features of the key pile foundations; use the third neural network to extract features from the normalized displacement data to determine the displacement evaluation features of the key pile foundations.

[0021] Optionally, the first evaluation module is used to convert the stress evaluation features of the key pile foundations into a first evaluation vector; convert the vibration evaluation features of the key pile foundations into a second evaluation vector; convert the displacement evaluation features of the key pile foundations into a third evaluation vector; 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 evaluation result of the key pile foundation includes a health status evaluation level. The second evaluation module is used to determine the target key pile foundation with the lowest health status evaluation level from the health status evaluation results of all key pile foundations; determine the health status evaluation result of the target key pile foundation as the health status evaluation result of the pile foundation group in the offshore photovoltaic.

[0023] According to a third aspect of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above-mentioned method for evaluating the health status of a pile foundation group in an offshore photovoltaic is implemented.

[0024] According to a fourth aspect of the present disclosure, there is provided an electronic device, including: a processor; and a memory for storing executable instructions of the processor; the processor is configured to implement the above-mentioned method for evaluating the health status of a pile foundation group in an offshore photovoltaic by executing the executable instructions.

[0025] In the technical solutions provided by some embodiments of the present disclosure, on the one hand, the present disclosure can effectively evaluate the health status of the pile foundation group with high accuracy by analyzing the stress, vibration, and displacement of the key pile foundations. On the other hand, the present disclosure selects and analyzes the key pile foundations, thereby avoiding the problem of excessive resource consumption caused by analyzing each pile foundation. On the other hand, the present disclosure can perform further equipment maintenance and danger warning in combination with the evaluation result of the health status of the pile foundation group, improving the safety of the offshore photovoltaic.

[0026] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. Description of the Drawings

[0027] The accompanying drawings here are incorporated into and constitute a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure. Obviously, the drawings in the following description are only some embodiments of the present disclosure, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0028] Figure 1 A schematic diagram showing a scheme for evaluating the health status of a pile group in an offshore photovoltaic power generation according to an exemplary embodiment of the present disclosure is schematically shown.

[0029] Figure 2 A flowchart showing a method for evaluating the health status of a pile group in an offshore photovoltaic power generation according to an exemplary embodiment of the present disclosure is schematically shown.

[0030] Figure 3 A flowchart showing the process of screening key piles according to an embodiment of the present disclosure is schematically shown.

[0031] Figure 4 A block diagram showing a device for evaluating the health status of a pile group in an offshore photovoltaic power generation according to an exemplary embodiment of the present disclosure is schematically shown.

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

[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more complete and comprehensive, and will 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 thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. can be used. In other cases, well-known technical solutions are not shown or described in detail to avoid obscuring the various aspects of the present disclosure.

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

[0035] The flowcharts shown in the accompanying drawings are only exemplary illustrations and do not necessarily include all steps. For example, some steps can be further decomposed, while some steps can be combined or partially combined. Therefore, the actual execution order may be changed according to the actual situation. In addition, all the following terms "first", "second", "third", etc. are only for the purpose of distinction and should not be construed as a limitation of the content of the present disclosure.

[0036] Figure 1 Schematically shows a schematic diagram of a pile group health state assessment scheme in offshore photovoltaic power generation according to an exemplary embodiment of the present disclosure. Refer to Figure 1 , the pile group health state assessment scheme in offshore photovoltaic power generation according to the embodiment of the present disclosure may include a key pile determination process and a pile group health state assessment process. It can be understood that the key pile determination process can be a pre-executed process. Once the key piles are confirmed, subsequent analyses can be carried out using them. The pile group health state assessment process is a processing process executed when the current assessment requirement occurs.

[0037] For the pre-executed key pile determination process, multiple key piles can be screened out from each pile using the environmental characteristics corresponding to each pile in offshore photovoltaic power generation. For the key piles, in order to obtain data related to them, the detection points on the key piles can be determined, and sensing devices can be deployed at the detection points. Among them, the sensing devices are used to obtain the original assessment data, and the types included in the original assessment data can include at least one of stress data, vibration data, and displacement data.

[0038] For the pile group health state assessment process, first, in response to the start of the pile group health state assessment task, the original assessment data can be obtained from the sensing devices deployed on the key piles. Next, a dimensionality-based feature extraction process can be performed on these data to determine the assessment features of each dimension of the key piles. Subsequently, the assessment features of each dimension can be fused, and the fused features can be input into the trained classifier to determine the health state assessment result of the key piles. Then, in combination with the health state assessment results of all the key piles, the health state assessment result of the pile group in offshore photovoltaic power generation can be determined.

[0039] As Figure 1As shown, after determining the health status assessment results of the pile group in the offshore photovoltaic system, operations such as outputting the assessment results, alarming, and maintenance can also be performed, and the present disclosure does not limit this.

[0040] Next, the method for assessing the health status of the pile group in the offshore photovoltaic system according to the embodiments of the present disclosure will be described. It should be noted that each step of the method for assessing the health status of the pile group in the offshore photovoltaic system according to the embodiments of the present disclosure can be executed by an electronic device, and the type of the electronic device can be, for example, a server, a personal computer, a mobile device, etc., and the present disclosure does not limit this.

[0041] Figure 2 Schematically shows a flowchart of the method for assessing the health status of the pile group in the offshore photovoltaic system according to an exemplary embodiment of the present disclosure. Refer to Figure 2 , the method for assessing the health status of the pile group in the offshore photovoltaic system may include the following steps: S20. First, use the environmental characteristics corresponding to each pile in the offshore photovoltaic system to screen out multiple key piles from each pile, determine the detection points on the key piles, and deploy sensing devices at the detection points.

[0042] In an exemplary embodiment of the present disclosure, the positions of the detection points on the key piles can be determined manually. In addition, considering the offshore pile environment, in order to cope with failure risks such as corrosion, redundant detection points can be configured, that is, for example, 20% to 30% more detection points are configured than in the theoretical design.

[0043] The sensing device can be used to obtain the original assessment data. Specifically, the original assessment data may include stress data, vibration data, and displacement data of the key piles. It can be understood that the sensing device referred to in the present disclosure can be a set composed of various sensing detection units. In addition, compared with this integrated configuration method, the sensing devices can also be separately and dispersedly configured at the detection points, and the present disclosure does not limit this.

[0044] According to some embodiments of the present disclosure, the key piles can be screened according to the force conditions of each pile. Next, refer to Figure 3 to illustrate these embodiments.

[0045] In step S300, a geometric model of each pile in the offshore photovoltaic system and the seabed surface layer is created using 3D modeling software.

[0046] Specifically, through manual operation, using the various module functions of the 3D modeling software, a geometric model of each pile in the offshore photovoltaic system and the seabed surface layer is created in the 3D modeling software. Among them, the specific parameter data can be obtained based on the project design and the data collected on site, and these data include, for example, the positions of each pile, the categories of each pile, the depth of the seabed surface layer, the soil type of the seabed surface layer, etc.

[0047] In step S302, the geometric model is imported into the material point method software. After applying various loads, the software is executed for calculation to obtain the calculation results.

[0048] In these embodiments, the loads include, for example, ocean current loads, wind loads, self-loads of the photovoltaic power generation, etc., and the present disclosure does not limit this. Additionally, for the accuracy of data, these loads can be obtained through multiple on-site measurements.

[0049] After determining various loads, these load constraints can be input into the computer manually, and the material point method software performs calculations to obtain the calculation results.

[0050] In step S304, ParaView is used to process the calculation results to obtain the load stress nephogram of each pile foundation.

[0051] Next, multiple key pile foundations can be screened out from each pile foundation according to the load stress nephogram. Specifically, reference can be made to step S306 and step S308.

[0052] In step S306, based on the load stress nephogram, each pile foundation is sorted in descending order of load stress to obtain a sorting result.

[0053] In step S308, the first n pile foundations are selected from the sorting result as the key pile foundations.

[0054] Specifically, n is a positive integer greater than 1.

[0055] According to some other embodiments of the present disclosure, the key pile foundations can be directly screened according to the soil type of the seabed surface layer. Specifically, the pile foundations in areas with weak seabed soil layers, large slopes, or the existence of reef areas can be selected as the key pile foundations.

[0056] According to still some other embodiments of the present disclosure, the key pile foundations can also be screened based on the relative positions of the pile foundations in the pile foundation array. For example, the central pile and corner piles in the pile foundation array are selected as the key pile foundations. Another example is that one pile foundation can be selected every four pile foundations as the key pile foundation.

[0057] S22. In response to the start of the pile group health status assessment task, the original assessment data is obtained from the sensing devices deployed on the key pile foundations.

[0058] In the exemplary embodiment of the present disclosure, the start of the pile group health assessment task can be used as a condition for the current execution algorithm process.

[0059] According to some embodiments of the present disclosure, whether to start the pile group health assessment task can be determined based on the meteorological and hydrological conditions.

[0060] First, the electronic device can obtain the current meteorological and hydrological information, where the current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, sea current intensity, sea current direction, rain, and snow. Next, the electronic device can compare the current meteorological and hydrological information with the standard meteorological and hydrological information. Compared with the standard meteorological and hydrological information, if the current meteorological and hydrological information is abnormal, the health status assessment task of the pile foundation group is started; if the current meteorological and hydrological information is within the normal range, the health status assessment task of the pile foundation group is not started. In addition, the present disclosure does not limit the process of information comparison and the determination scale of abnormality or normality, and these can all be defined artificially in advance. It can be understood that corresponding to the current meteorological and hydrological information, the above standard meteorological and hydrological information can also include one or a combination of information such as temperature, wind force, wind speed, wind direction, sea current intensity, sea current direction, rain, and snow.

[0061] According to some other embodiments of the present disclosure, the health status assessment task of the pile foundation group can be started at regular intervals (such as one week, half a month, one month, etc.). That is to say, when the scheduled task start time arrives, the electronic device automatically starts the health status assessment task of the pile foundation group.

[0062] When the health status assessment task of the pile foundation group is started, the electronic device can obtain the original assessment data from the sensing devices deployed on the key pile foundations. It can be understood that the original assessment data is the original sensed data collected by the sensing devices at present.

[0063] S24. Perform a feature extraction process in different dimensions on the original assessment data to determine the assessment features of each dimension of the key pile foundation.

[0064] According to some embodiments of the present disclosure, first, data normalization processing can be performed on the stress data, vibration data, and displacement data included in the original assessment data respectively. The normalization processing enables subsequent data operations to be unified in rules and facilitates the operations. Next, on the one hand, a first neural network can be used to extract features from the normalized stress data to determine the stress assessment features 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 assessment features of the key pile foundation; on the other hand, a third neural network can be used to extract features from the normalized displacement data to determine the displacement assessment features of the key pile foundation.

[0065] The above first neural network, second neural network, and third neural network are all convolutional neural networks constructed based on convolutional layers and pooling layers, and the present disclosure does not limit their network structures and training processes.

[0066] S26. 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 foundations.

[0067] According to some embodiments of the present disclosure, first, the stress evaluation features of the key pile foundations can be converted into a first evaluation vector, the vibration evaluation features of the key pile foundations can be converted into a second evaluation vector, and the displacement evaluation features of the key pile foundations can be converted into a third evaluation vector.

[0068] Next, the first evaluation vector, the second evaluation vector, and the third evaluation vector can be connected end to end to construct a total one-dimensional evaluation vector as the fused features.

[0069] Then, input the fused features into the trained classifier to determine the health status evaluation result of the key pile foundations.

[0070] According to some other embodiments of the present disclosure, the stress evaluation features, vibration evaluation features, and displacement evaluation features of the key pile foundations can also be spliced in terms of feature dimensions to form multi-dimensional input features as the fused features and input them into the trained classifier to determine the health status evaluation result of the key pile foundations. It should be noted that the classifiers in these embodiments are not the same classifier as the classifier with the one-dimensional evaluation vector as the input above, and they are at least different machine learning models in terms of the number of neurons in the input layer of the classifier and parameter configuration.

[0071] S28. Combine the health status evaluation results of all key pile foundations to determine the health status evaluation result of the pile foundation group in the offshore photovoltaic power station.

[0072] In the exemplary embodiment of the present disclosure, the health status evaluation result of the key pile foundation includes a health status evaluation level. For example, the health degree is characterized by levels such as A, B, C, and D, where level A is the healthiest and level D is the least healthy. For another example, the health degree is characterized by normal, warning, failure, etc. The present disclosure does not limit this.

[0073] In this case, the electronic device can determine the target key pile foundation with the lowest health status evaluation level from the health status evaluation results of all key pile foundations and determine the health status evaluation result of the target key pile foundation as the health status evaluation result of the pile foundation group in the offshore photovoltaic power station.

[0074] In addition, the health status of the pile foundation group can also be characterized by multiple key pile foundations. Taking five key pile foundations as an example, health status evaluation results such as 4A1B, 3A1B1C, and 5A can be formed.

[0075] Further, after obtaining the health status assessment result of the pile group in the offshore photovoltaic system, the electronic device can also perform operations such as outputting the assessment result, alarming, and maintenance. The present disclosure places no restrictions on this.

[0076] It should be noted that although the steps of the methods in the present disclosure are described in a specific order in the drawings, this does not require or imply that these steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution, etc.

[0077] Further, in the present exemplary embodiment, a device for assessing the health status of a pile group in an offshore photovoltaic system is also provided.

[0078] Figure 4 A block diagram of the device for assessing the health status of a pile group in an offshore photovoltaic system according to an exemplary embodiment of the present disclosure is schematically shown. Refer to Figure 4 , the device 4 for assessing the health status of a pile group in an offshore photovoltaic system according to an exemplary embodiment of the present disclosure may include a key pile determination module 41, a data acquisition module 43, a feature extraction module 45, a first assessment module 47, and a second assessment module 49.

[0079] According to an exemplary embodiment of the present disclosure, the key pile determination module 41 may be configured to create a geometric model of each pile and the seabed surface layer in the offshore photovoltaic system using three-dimensional modeling software; import the geometric model into the material point method software, perform software calculations after applying various loads to obtain calculation results; process the calculation results using ParaView to obtain the load stress nephogram of each pile; and screen out multiple key piles from each pile according to the load stress nephogram.

[0080] According to an exemplary embodiment of the present disclosure, the key pile determination module 41 may be configured to sort each pile in descending order of load stress based on the load stress nephogram to obtain a sorting result; select the first n piles from the sorting result as the key piles; where n is a positive integer greater than 1.

[0081] According to an exemplary embodiment of the present disclosure, the data acquisition module 43 may be configured to acquire current meteorological and hydrological information; compare the current meteorological and hydrological information with the standard meteorological and hydrological information; if the current meteorological and hydrological information is abnormal compared to the standard meteorological and hydrological information, start the task of assessing the health status of the pile group.

[0082] According to an exemplary embodiment of the present disclosure, the feature extraction module 45 may be configured to perform data normalization processing on the stress data, vibration data, and displacement data included 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 critical pile foundations; use a second neural network to extract features from the normalized vibration data to determine the vibration evaluation features of the critical pile foundations; use a third neural network to extract features from the normalized displacement data to determine the displacement evaluation features of the critical pile foundations.

[0083] According to an exemplary embodiment of the present disclosure, the first evaluation module 47 may be configured to convert the stress evaluation features of the critical pile foundations into a first evaluation vector; convert the vibration evaluation features of the critical pile foundations into a second evaluation vector; convert the displacement evaluation features of the critical pile foundations into a third evaluation vector; 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.

[0084] According to an exemplary embodiment of the present disclosure, the health status evaluation result of the critical pile foundations includes a health status evaluation level. The second evaluation module 49 may be configured to determine the target critical pile foundation with the lowest health status evaluation level from the health status evaluation results of all critical pile foundations; determine the health status evaluation result of the target critical pile foundation as the health status evaluation result of the pile foundation group in the offshore photovoltaic.

[0085] Since each functional module of the health status evaluation device for the pile foundation group in the offshore photovoltaic according to the embodiments of the present disclosure is the same as that in the above method embodiments, it will not be described in detail herein.

[0086] In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above method of this specification. In some possible implementation manners, various aspects of the present disclosure may also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the "Exemplary Method" section of this specification.

[0087] The program product for implementing the above method according to an embodiment of the present disclosure may be a portable compact disc read-only memory (CD-ROM) and includes 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 that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.

[0088] The program product may employ any combination of one or more readable media. The readable media 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 of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0089] A computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which the readable program code is carried. Such a propagated data signal may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable signal medium may also be any readable medium other than the readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.

[0090] The program code contained 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.

[0091] 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++, etc., and also including conventional procedural programming languages such as the "C" language or similar programming languages. The program code may execute 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 the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through 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., through the Internet using an Internet service provider).

[0092] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0093] Those skilled in the art can understand that various aspects of the present disclosure can be implemented as a system, a method, or a program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuits", "modules", or "systems" here.

[0094] Reference will be made below Figure 5 to describe the electronic device 500 according to such an embodiment of the present disclosure. Figure 5 The displayed electronic device 500 is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present disclosure.

[0095] As Figure 5 shown, the electronic device 500 is presented in the form of a general computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510 described above, the at least one storage unit 520 described above, a bus 530 connecting different system components (including the storage unit 520 and the processing unit 510), and a display unit 540.

[0096] Among them, the storage unit stores program codes, and the program codes can be executed by the processing unit 510, so that the processing unit 510 executes the steps according to various exemplary embodiments of the present disclosure described in the "Exemplary Method" section of this specification above. For example, the processing unit 510 can execute each step of the method for evaluating the health status of a pile group in the offshore photovoltaic of the embodiment of the present disclosure.

[0097] The storage unit 520 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and / or a cache storage unit 5202, and may further include a read-only storage unit (ROM) 5203.

[0098] The storage unit 520 may further include a program / utilities 5204 having a set (at least one) of program modules 5205. Such program modules 5205 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment.

[0099] The bus 530 may represent one or more of several types of bus structures, including a storage unit bus or a storage unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any bus structure in a variety of bus structures.

[0100] The electronic device 500 may also communicate with one or more external devices 600 (such as a keyboard, a pointing device, a Bluetooth device, etc.), and may also communicate with one or more devices that enable a user to interact with the electronic device 500, and / or communicate with any device that enables the electronic device 500 to communicate with one or more other computing devices (such as a router, a modem, etc.). Such communication may be performed through the input / output (I / O) interface 550. Moreover, the electronic device 500 may also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 560. As shown in the figure, the network adapter 560 communicates with other modules of the electronic device 500 through the bus 530. It should be understood that, although not shown in the figure, other hardware and / or software modules may 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, etc.

[0101] Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein can be implemented by software, or can be implemented by a combination of software and necessary hardware. Therefore, the technical solutions 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, including 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.

[0102] In addition, the above drawings are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, rather than for limiting purposes. It is easy to understand that the processes shown in the above drawings do not indicate or limit the time sequence of these processes. Additionally, it is also easy to understand that these processes may be executed synchronously or asynchronously, for example, in multiple modules.

[0103] It should be noted that although several modules or units of devices for action execution are mentioned in the above detailed description, such a 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 may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above may be further divided and embodied by multiple modules or units.

[0104] Other embodiments of the present disclosure will be readily apparent 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 the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed herein. The specification and examples are only illustrative, and the true scope and spirit of the present disclosure are pointed out by the claims.

[0105] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A method for evaluating the health status of a pile foundation group in offshore photovoltaic power generation, characterized in that, Including: Previously, multiple key piles are screened out from each of the piles by using the environmental characteristics corresponding to each pile in the offshore photovoltaic, detection points on the key piles are determined, and sensing devices are deployed at the detection points; wherein, the sensing devices are used to obtain original evaluation data, and the original evaluation data includes stress data, vibration data and displacement data of the key piles; Obtain the current meteorological and hydrological information, compare the current meteorological and hydrological information with the standard meteorological and hydrological information. Compared with the standard meteorological and hydrological information, if the current meteorological and hydrological information is abnormal, start the health status evaluation task of the pile group; in response to the start of the health status evaluation task of the pile group, obtain the original evaluation data from the sensing devices deployed on the key piles; wherein, the current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, sea current intensity, sea current direction, rain and snow; Perform a feature extraction process for the original evaluation data in different dimensions to determine the evaluation features of each dimension of the key piles; Fuse the evaluation features of each dimension, and input the fused features into a trained classifier to determine the health status evaluation result of the key piles; Combine the health status evaluation results of all the key piles to determine the health status evaluation result of the pile group in the offshore photovoltaic.

2. The method for evaluating the health status of a pile foundation group in an offshore photovoltaic power station according to claim 1, wherein Previously, screening out multiple key piles from each of the piles by using the environmental characteristics corresponding to each pile in the offshore photovoltaic includes: Create geometric models of each pile in the offshore photovoltaic and the seabed surface layer by using 3D modeling software; Import the geometric model into the material point method software, apply various loads and perform software calculations to obtain calculation results; Use ParaView to process the calculation results to obtain the load stress nephogram of each pile; Screen out multiple key piles from each of the piles according to the load stress nephogram.

3. The method for evaluating the health status of a pile foundation group in an offshore photovoltaic power station according to claim 2, wherein Screening out multiple key piles from each of the piles according to the load stress nephogram includes: Based on the load stress nephogram, sort each of the piles in descending order of load stress to obtain a sorting result; Select the first n piles from the sorting result as the key piles; Wherein, n is a positive integer greater than 1.

4. The method for evaluating the health status of a pile foundation group in offshore photovoltaic according to claim 1, wherein Performing a feature extraction process for the original evaluation data in different dimensions to determine the evaluation features of each dimension of the key piles includes: Perform data normalization processing on the stress data, vibration data and displacement data included in the original evaluation data respectively; Use a first neural network to perform feature extraction on the normalized stress data to determine the stress evaluation feature of the key piles; Use a second neural network to perform feature extraction on the normalized vibration data to determine the vibration evaluation feature of the key piles; Use a third neural network to perform feature extraction on the normalized displacement data to determine the displacement evaluation feature of the key piles.

5. The method for evaluating the health status of a pile foundation group in an offshore photovoltaic power station according to claim 4, wherein Fusing the evaluation features of each dimension includes: Convert the stress evaluation feature of the key pile into a first evaluation vector; Convert the vibration evaluation feature of the key pile into a second evaluation vector; Convert the displacement evaluation feature of the key pile foundation into a third evaluation vector; 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 feature.

6. The method for evaluating the health status of a pile foundation group in an offshore photovoltaic power station according to claim 4, characterized in that, The fusion of the evaluation features of each dimension includes: Perform feature dimension splicing on the stress evaluation feature, vibration evaluation feature, and displacement evaluation feature of the key pile foundation to form a multi-dimensional input feature as the fused feature.

7. The method for evaluating the health status of a pile foundation group in an offshore photovoltaic system according to claim 1, characterized in that, The health status evaluation result of the key pile foundation includes a health status evaluation level; among them, combining the health status evaluation results of all the key pile foundations to determine the health status evaluation result of the pile foundation group in the offshore photovoltaic, including: Determine the target key pile foundation with the lowest health status evaluation level from the health status evaluation results of all the key pile foundations; Determine the health status evaluation result of the target key pile foundation as the health status evaluation result of the pile foundation group in the offshore photovoltaic.

8. An apparatus for evaluating the health status of a group of pile foundations in offshore photovoltaic power generation, characterized in that, Include: A key pile foundation determination module, configured to pre-screen multiple key pile foundations from each pile foundation by using the environmental characteristics corresponding to each pile foundation in the offshore photovoltaic, determine the detection points on the key pile foundations, and deploy sensing devices at the detection points; wherein, the sensing devices are used to obtain original evaluation data, and the original evaluation data includes stress data, vibration data, and displacement data of the key pile foundation; A data acquisition module, configured 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, start a health status evaluation task for the pile foundation group; in response to the start of the health status evaluation task for the pile foundation group, obtain original evaluation data from the sensing devices deployed on the key pile foundations; wherein, the current meteorological and hydrological information includes one or a combination of information such as temperature, wind force, wind speed, wind direction, sea current intensity, sea current direction, rain, and snow; A feature extraction module, configured to perform a dimension-based feature extraction process on the original evaluation data to determine the evaluation features of each dimension of the key pile foundation; A first evaluation module, configured to fuse the evaluation features of each dimension and input the fused features into a trained classifier to determine the health status evaluation result of the key pile foundation; A second evaluation module, configured to combine the health status evaluation results of all the key pile foundations to determine the health status evaluation result of the pile foundation group in the offshore photovoltaic.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method for evaluating the health status of a pile foundation group in an offshore photovoltaic according to any one of claims 1 to 7.

10. An electronic device, characterized in that, Include: A processor; And A memory for storing executable instructions of the processor; Wherein, the processor is configured to implement the method for evaluating the health status of a pile foundation group in an offshore photovoltaic according to any one of claims 1 to 7 by executing the executable instructions.

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