Fan tower footing settlement analysis method, device and equipment and storage medium

By constructing a three-dimensional model of the fan tower foundation and performing settlement observations, the accuracy and real-time problems of the fan tower foundation settlement analysis in the existing technology are solved, and accurate monitoring and timely early warning are achieved.

CN120252631APending Publication Date: 2025-07-04DATANG (DANZHOU) MARINE ENERGY DEVELOPMENT CO LTD
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Patent Information

Application Number
CN202510231737.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-07-04

AI Technical Summary

Technical Problem

The prior art cannot accurately perform fan tower foundation settlement analysis, resulting in limited analysis accuracy, poor real-time performance, and susceptible to observation environment and human factors.

Method used

By collecting image data from the fan tower foundation, building a three-dimensional model, selecting target points for settlement observation, using observation data for settlement analysis, determining the settlement trend and providing timely early warning.

Benefits of technology

It realizes accurate monitoring and timely warning of fan tower foundation settlement, improves the accuracy and efficiency of analysis, and reduces the investment in manpower and material resources.

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Patent Text Reader

Abstract

The invention discloses a draught fan tower footing settlement analysis method, device and equipment and a storage medium, and relates to the technical field of data analysis, and the method comprises the steps that image data of a target draught fan tower footing is collected, and a three-dimensional model corresponding to the target draught fan tower footing is constructed according to the image data; selecting a plurality of target point locations from the three-dimensional model, and performing settlement observation on the target fan tower footing according to the target point locations to obtain observation data; and performing settlement analysis on the target fan tower footing according to the observation data to obtain a settlement trend corresponding to the target fan tower footing. According to the method, the settlement observation is performed on the target fan tower footing according to the plurality of target point positions selected from the three-dimensional model corresponding to the target fan tower footing, so that the settlement analysis can be accurately performed on the target fan tower footing according to the obtained observation data to obtain the settlement trend corresponding to the target fan tower footing; therefore, accurate monitoring and timely early warning of settlement of the target fan tower footing are realized.
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Description

Technical Field

[0001] The present application relates to the technical field of data analysis, and particularly to a method, device, equipment and storage medium for analyzing the settlement of a wind turbine tower foundation. Background Art

[0002] The settlement of a wind turbine tower foundation is mainly affected by various factors such as the soil quality of the foundation, the change of the groundwater level, the self-weight of the wind power tower, the wind load, and the earthquake. The combined action of these factors may cause abnormal settlement of the wind turbine tower foundation, thereby affecting the structural stability and power generation efficiency of the wind power tower. Therefore, the settlement analysis of the wind turbine tower foundation is a key link to ensure the stability and safety of the wind power generation system.

[0003] Traditional wind turbine tower foundation settlement analysis is achieved through simple methods such as level observation and total station observation. Although these methods are easy to operate and have low costs, they have problems such as low observation efficiency, poor real-time performance, and are easily affected by the observation environment and human operation factors, resulting in limited analysis accuracy. Based on this, there is an urgent need in the industry for a method that can accurately analyze the settlement of wind turbine tower foundations. Summary of the Invention

[0004] The main purpose of the present application is to provide a method, device, equipment and storage medium for analyzing the settlement of a wind turbine tower foundation, aiming to solve the technical problem that the prior art cannot accurately analyze the settlement of a wind turbine tower foundation.

[0005] To achieve the above purpose, the present application provides a method for analyzing the settlement of a wind turbine tower foundation, and the method includes the following steps:

[0006] Collect image data of a target wind turbine tower foundation, and construct a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data;

[0007] Select a number of target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data;

[0008] Perform settlement analysis on the target wind turbine tower foundation according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation.

[0009] In one embodiment, the step of collecting image data of a target wind turbine tower foundation and constructing a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data includes:

[0010] Collect image data of a target wind turbine tower foundation, and the image data includes front image data, side image data and oblique image data;

[0011] Preprocess the image data, and perform feature extraction on the preprocessed image data to obtain key feature points;

[0012] Construct a three-dimensional model corresponding to the target wind turbine tower foundation based on the key feature points and the image data.

[0013] In one embodiment, the step of constructing a three-dimensional model corresponding to the target wind turbine tower foundation based on the key feature points and the image data includes:

[0014] Obtain the pose information of the camera corresponding to the acquisition of the image data, and generate a sparse point cloud according to the pose information and the key feature points;

[0015] Convert the sparse point cloud into a dense point cloud by a multi-view stereo vision method, and construct an initial model according to the dense point cloud;

[0016] Perform noise removal and model simplification on the initial model to obtain a three-dimensional model corresponding to the target wind turbine tower foundation.

[0017] In one embodiment, the step of selecting several target points from the three-dimensional model, performing settlement observation on the target wind turbine tower foundation according to the target points, and obtaining observation data includes:

[0018] Determine the force conditions of each point in the target wind turbine tower foundation, and select several target points from the three-dimensional model according to the force conditions;

[0019] Perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data, where the observation data includes the settlement amount, settlement time, and settlement position corresponding to the target wind turbine tower foundation.

[0020] In one embodiment, the step of performing settlement analysis on the target wind turbine tower foundation according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation includes:

[0021] Determine the settlement rate and settlement curvature corresponding to the target wind turbine tower foundation according to the observation data;

[0022] If the settlement rate is less than a first preset value and the settlement curvature is less than a second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is a normal trend;

[0023] If the settlement rate is greater than or equal to the first preset value or the settlement curvature is greater than or equal to the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is an abnormal trend.

[0024] In one embodiment, after the step of performing settlement analysis on the target wind turbine tower foundation according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation, it further includes:

[0025] If the settlement trend is an abnormal trend, calculate the settlement difference value between each observation point in the target wind turbine tower foundation according to the observation data;

[0026] Judge whether there is a risk of uneven settlement in the target wind turbine tower foundation according to the settlement difference value.

[0027] In addition, to achieve the above object, the present application also proposes a wind turbine tower foundation settlement analysis device, and the wind turbine tower foundation settlement analysis device includes:

[0028] A model construction module, configured to collect image data of a target wind turbine tower foundation, and construct a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data;

[0029] A settlement observation module, configured to select a plurality of target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data;

[0030] A settlement analysis module, configured to perform settlement analysis on the target wind turbine tower foundation according to the observation data to obtain a settlement trend corresponding to the target wind turbine tower foundation.

[0031] In addition, to achieve the above object, the present application also proposes a wind turbine tower foundation settlement analysis device, and the device includes: a memory, a processor, and a wind turbine tower foundation settlement analysis program stored on the memory and executable on the processor, and the wind turbine tower foundation settlement analysis program is configured to implement the steps of the wind turbine tower foundation settlement analysis method as described above.

[0032] In addition, to achieve the above object, the present application also proposes a storage medium, the storage medium is a computer-readable storage medium, and a wind turbine tower foundation settlement analysis program is stored on the storage medium, and when the wind turbine tower foundation settlement analysis program is executed by a processor, it implements the steps of the wind turbine tower foundation settlement analysis method as described above.

[0033] In addition, to achieve the above object, the present invention also provides a computer program product, the computer program product includes a wind turbine tower foundation settlement analysis program, and when the wind turbine tower foundation settlement analysis program is executed by a processor, it implements the steps of the wind turbine tower foundation settlement analysis method as described above.

[0034] This application collects image data of the target wind turbine tower base, constructs a three-dimensional model corresponding to the target wind turbine tower base according to the image data; selects several target points from the three-dimensional model, performs settlement observation on the target wind turbine tower base according to the target points, and obtains observation data; performs settlement analysis on the target wind turbine tower base according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower base. Compared with the traditional wind turbine tower base settlement analysis method, since the above method of this application performs settlement observation on the target wind turbine tower base according to several target points selected from the three-dimensional model corresponding to the target wind turbine tower base, it can accurately perform settlement analysis on the target wind turbine tower base according to the obtained observation data to obtain the settlement trend corresponding to the target wind turbine tower base, thereby realizing precise monitoring and timely warning of the settlement of the target wind turbine tower base. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a schematic structural diagram of a wind turbine tower base settlement analysis device for the hardware operating environment involved in the solution of the embodiment of this application;

[0036] Figure 2 is a schematic flowchart of the first embodiment of the wind turbine tower base settlement analysis method of this application;

[0037] Figure 3 is a schematic flowchart of the second embodiment of the wind turbine tower base settlement analysis method of this application;

[0038] Figure 4 is a schematic flowchart of the third embodiment of the wind turbine tower base settlement analysis method of this application;

[0039] Figure 5 is a structural block diagram of the first embodiment of the wind turbine tower base settlement analysis device of this application.

[0040] The implementation, functional features and advantages of the purpose of this application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0042] Refer to Figure 1 , Figure 1 is a schematic structural diagram of a wind turbine tower base settlement analysis device for the hardware operating environment involved in the solution of the embodiment of this application.

[0043] As Figure 1As shown in the figure, the fan tower foundation settlement analysis device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display) and an input unit such as a keyboard (Keyboard). Optionally, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed Random Access Memory (RAM) or a stable Non-Volatile Memory (NVM), such as a disk memory. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0044] Those skilled in the art can understand that Figure 1 the structure shown in the figure does not constitute a limitation on the fan tower foundation settlement analysis device, and it may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0045] As Figure 1 shown, the memory 1005, as a storage medium, may include an operating system, a network communication module, a user interface module, and a fan tower foundation settlement analysis program.

[0046] In Figure 1 the fan tower foundation settlement analysis device shown in the figure, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the fan tower foundation settlement analysis device of the present application may be arranged in the fan tower foundation settlement analysis device. The fan tower foundation settlement analysis device calls the fan tower foundation settlement analysis program stored in the memory 1005 through the processor 1001 and executes the fan tower foundation settlement analysis method provided in the embodiments of the present application.

[0047] The embodiments of the present application provide a fan tower foundation settlement analysis method. Referring to Figure 2 , Figure 2 which is a schematic flowchart of the first embodiment of the fan tower foundation settlement analysis method of the present application.

[0048] In this embodiment, the fan tower foundation settlement analysis method includes the following steps:

[0049] Step S10: Collect the image data of the target wind turbine tower foundation, and construct a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data.

[0050] It should be noted that the execution subject of the method in this embodiment can be a terminal device with functions of model construction, data processing, and program running, such as a smart phone, a computer, etc., or an electronic device with the same or similar functions, such as the above-mentioned wind turbine tower foundation settlement analysis device. Hereinafter, the wind turbine tower foundation settlement analysis device will be taken as an example to illustrate this embodiment and the following embodiments.

[0051] It can be understood that the above-mentioned target wind turbine tower foundation is a basic structure used to support the wind turbine tower body in a wind farm. Its main function is to bear the weight of the wind turbine and various loads caused by wind force, and ensure the stability and safety of the wind turbine tower and its upper structure. Structurally, the target wind turbine tower foundation usually consists of a foundation bottom plate, columns, connecting components, etc. The foundation bottom plate is used to be in close contact with the foundation soil and transfer the load to the foundation; the columns are used to support the wind turbine tower body to ensure its verticality and stability; the connecting components are responsible for tightly connecting each part together to form an integral structure.

[0052] It should be understood that the above-mentioned image data can be the image data corresponding to the target wind turbine tower foundation at different angles, such as front image data, side image data, oblique image data, top-down image data, etc. This embodiment does not limit this.

[0053] In a specific implementation, the three-dimensional coordinates corresponding to the target wind turbine tower foundation in a three-dimensional space coordinate system can be determined according to the image data at different angles, and then a three-dimensional model corresponding to the target wind turbine tower foundation can be constructed according to these three-dimensional coordinates.

[0054] Step S20: Select several target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data.

[0055] It should be noted that the above-mentioned target points can be the preferred points for performing settlement observation on the target wind turbine tower foundation. In particular, the above-mentioned preferred points should be stable and reliable, not easily affected and damaged by external factors. The selection of the preferred points should avoid areas easily affected by environmental factors such as vibration and temperature changes, and at the same time should be convenient for measurement and observation to ensure the accuracy and reliability of the settlement data. Therefore, the observation points should be selected at the key parts of the wind turbine tower foundation, such as the four corners, the center point of the foundation, and the areas that may be affected by larger settlements.

[0056] It should be understood that the above-mentioned observation data can include the settlement amount, settlement time, settlement position, etc. corresponding to the target wind turbine tower foundation.

[0057] Step S30: Perform settlement analysis on the target wind turbine tower foundation based on the observed data to obtain the settlement trend corresponding to the target wind turbine tower foundation.

[0058] It should be understood that in actual use scenarios, the wind turbine tower foundation may be affected by various factors such as foundation soil quality, groundwater level changes, the weight of the wind power tower itself, wind loads, and earthquakes, resulting in a settlement trend of the wind turbine tower foundation. It can be seen that the emergence of the settlement trend is inevitable. The settlement trend can be divided into a normal trend and an abnormal trend. If the settlement trend corresponding to the target wind turbine tower foundation is a normal trend, it indicates that the working state of the target wind turbine tower foundation is normal at this time and can continue to be put into operation; if the settlement trend corresponding to the target wind turbine tower foundation is an abnormal trend, it indicates that the working state of the target wind turbine tower foundation is abnormal at this time and effective intervention needs to be carried out in a timely manner to avoid serious damage to the target wind turbine tower foundation.

[0059] In this embodiment, image data of the target wind turbine tower foundation is collected, and a three-dimensional model corresponding to the target wind turbine tower foundation is constructed based on the image data; several target points are selected from the three-dimensional model, and settlement observations are performed on the target wind turbine tower foundation according to the target points to obtain observed data; settlement analysis is performed on the target wind turbine tower foundation according to the observed data to obtain the settlement trend corresponding to the target wind turbine tower foundation. Compared with the traditional method for settlement analysis of wind turbine tower foundations, since the above method in this embodiment performs settlement observations on the target wind turbine tower foundation according to several target points selected from the three-dimensional model corresponding to the target wind turbine tower foundation, it is possible to accurately perform settlement analysis on the target wind turbine tower foundation according to the obtained observed data to obtain the settlement trend corresponding to the target wind turbine tower foundation, thereby realizing precise monitoring and timely warning of the settlement of the target wind turbine tower foundation.

[0060] Reference Figure 3 , Figure 3 is a schematic flowchart of the second embodiment of the method for settlement analysis of the wind turbine tower foundation in this application.

[0061] In a feasible implementation manner, the step S10 may include:

[0062] Step S101: Collect image data of the target wind turbine tower foundation, where the image data includes front image data, side image data, and oblique image data.

[0063] In specific implementation, the above-mentioned image data of the target wind turbine tower foundation can be collected by image acquisition devices such as high-resolution cameras, cameras carried by unmanned aerial vehicles, and three-dimensional laser scanners. Before collection, the collection environment can be cleaned and sorted out to avoid the influence of obstacles or reflective objects on the image quality, and at the same time ensure that the lighting conditions are appropriate to avoid blurred or distorted images caused by too strong or too weak light.

[0064] Step S102: Preprocess the image data, and extract features from the preprocessed image data to obtain key feature points.

[0065] It should be noted that the above key feature points may refer to corner points, edge points or points with significant texture changes in the preprocessed image data.

[0066] It can be understood that the steps for preprocessing the above image data may include operations such as denoising, enhancing contrast, and correcting distortion to ensure the clarity and accuracy of the image data, thereby providing a data basis for subsequent 3D model construction.

[0067] Step S103: Construct a 3D model corresponding to the target wind turbine tower base based on the key feature points and the image data.

[0068] In a specific implementation, 3D point cloud data can be generated based on the above key feature points and the above image data, and then the 3D point cloud data is converted into a 3D mesh model, thereby obtaining the 3D model corresponding to the above target wind turbine tower base.

[0069] In a feasible implementation manner, the step S103 may include:

[0070] Step S1031: Obtain the pose information of the camera corresponding to when the image data is collected, and generate a sparse point cloud according to the pose information and the key feature points.

[0071] Step S1032: Convert the sparse point cloud into a dense point cloud by a multi-view stereo vision method, and construct an initial model according to the dense point cloud.

[0072] It should be noted that the above sparse point cloud refers to point cloud data with a small number of points and a large distance between points, and the above dense point cloud refers to point cloud data with a large number of points and a small distance between points.

[0073] In a specific implementation, the depth maps of the target wind turbine tower base from different perspectives can be determined based on the above sparse point cloud, and then these depth maps are fused to obtain the above dense point cloud.

[0074] Step S1033: Remove noise and simplify the model for the initial model to obtain the 3D model corresponding to the target wind turbine tower base.

[0075] In this embodiment, image data of the target wind turbine tower foundation is collected. The image data includes front image data, side image data, and oblique image data. The image data is preprocessed, and key feature points are obtained by extracting features from the preprocessed image data. The pose information of the camera corresponding to the image data when it is collected is obtained, and a sparse point cloud is generated based on the pose information and the key feature points. The sparse point cloud is converted into a dense point cloud by a multi-view stereo vision method, and an initial model is constructed based on the dense point cloud. The initial model is subjected to noise removal and model simplification to obtain the three-dimensional model corresponding to the target wind turbine tower foundation. Compared with the traditional method for analyzing the settlement of wind turbine tower foundations, the above method in this embodiment constructs the three-dimensional model corresponding to the target wind turbine tower foundation according to the image data of the target wind turbine tower foundation and the key feature points in the image data. On the premise of ensuring the accuracy of the three-dimensional model, it avoids spending a large amount of manpower and material resources on on-site surveying and mapping and model construction of the target wind turbine tower foundation, thereby reducing the cost of model construction and improving the efficiency of model construction.

[0076] Reference Figure 4 , Figure 4 is a schematic flowchart of the third embodiment of the method for analyzing the settlement of the wind turbine tower foundation in this application.

[0077] In a feasible implementation manner, the step S20 may include:

[0078] Step S201: Determine the force conditions of each point in the target wind turbine tower foundation, and select several target points from the three-dimensional model according to the force conditions.

[0079] Step S202: Perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data, where the observation data includes the settlement amount, settlement time, and settlement location corresponding to the target wind turbine tower foundation.

[0080] It should be noted that the above settlement amount refers to the vertical displacement of the target wind turbine tower foundation relative to its original position, and this displacement amount is usually used to measure the stability and safety of the wind turbine foundation. The normal range of wind turbine settlement varies depending on geological conditions, design standards, and wind turbine models. Generally, when designing, a maximum allowable settlement amount will be determined based on geological exploration results and engineering requirements. The maximum settlement amount is usually controlled within a few millimeters to the centimeter level to ensure the stability and safety of the wind turbine. The settlement time refers to the time when the settlement phenomenon occurs in the target wind turbine tower foundation, and the settlement location refers to the specific part where the settlement phenomenon occurs in the wind turbine tower foundation.

[0081] In specific implementation, tower foundation settlement sensors can be arranged at the above target points to perform settlement observation on the target wind turbine tower foundation, so as to obtain observation data.

[0082] In a feasible implementation manner, step S30 may include:

[0083] Step S301: Determine the settlement rate and settlement curvature corresponding to the target wind turbine tower foundation according to the observation data.

[0084] It should be understood that the settlement amount that occurs to the target wind turbine tower foundation within a preset time period can be determined according to the above observation data, and then the ratio of the settlement amount to the preset time period is used as the settlement rate corresponding to the above target wind turbine tower foundation; the settlement curve corresponding to the target wind turbine tower foundation can be fitted according to the above observation data, and then the settlement curvature corresponding to the target wind turbine tower foundation is determined according to the settlement curve.

[0085] Step S302: If the settlement rate is less than the first preset value and the settlement curvature is less than the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is a normal trend.

[0086] Step S303: If the settlement rate is greater than or equal to the first preset value or the settlement curvature is greater than or equal to the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is an abnormal trend.

[0087] It should be noted that the above first preset value can be flexibly set based on the actual scenario, and the default value is 0.02 mm / d; the above second preset value can also be flexibly set based on the actual scenario, and the default value is 0.2%.

[0088] In a feasible implementation manner, after step S30, it may further include:

[0089] Step S40: If the settlement trend is an abnormal trend, calculate the settlement difference value between each observation point in the target wind turbine tower foundation according to the observation data.

[0090] Step S50: Judge whether there is a risk of uneven settlement in the target wind turbine tower foundation according to the settlement difference value.

[0091] It should be understood that the settlement difference value between each observation point in the target wind turbine tower foundation can be compared with the average settlement value of each observation point. If the absolute value of the difference between the settlement difference value and the average settlement value accounts for a proportion of the average settlement value exceeding the preset proportion, it can be determined that there is a risk of uneven settlement in the target wind turbine tower foundation; if the absolute value of the difference between the settlement difference value and the average settlement value accounts for a proportion of the average settlement value not exceeding the preset proportion, it can be determined that there is no risk of uneven settlement in the target wind turbine tower foundation.

[0092] In this embodiment, the stress conditions of each point in the target wind turbine tower foundation are determined, and several target points are selected from the three-dimensional model according to the stress conditions; the target wind turbine tower foundation is subjected to settlement observation according to the target points to obtain observation data, where the observation data includes the settlement amount, settlement time, and settlement position corresponding to the target wind turbine tower foundation; the settlement rate and settlement curvature corresponding to the target wind turbine tower foundation are determined according to the observation data; if the settlement rate is less than the first preset value and the settlement curvature is less than the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is a normal trend; if the settlement rate is greater than or equal to the first preset value or the settlement curvature is greater than or equal to the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is an abnormal trend; if the settlement trend is an abnormal trend, the settlement difference value between each observation point in the target wind turbine tower foundation is calculated according to the observation data; whether there is a risk of uneven settlement of the target wind turbine tower foundation is judged according to the settlement difference value. Compared with the traditional wind turbine tower foundation settlement analysis method, the above method in this embodiment accurately determines whether the settlement trend corresponding to the target wind turbine tower foundation is a normal trend or an abnormal trend through the calculated settlement rate and settlement curvature corresponding to the target wind turbine tower foundation. At the same time, when the settlement trend is determined to be an abnormal trend, whether there is a risk of uneven settlement of the target wind turbine tower foundation is judged according to the settlement difference value between each observation point in the target wind turbine tower foundation, so that the maintenance personnel can intervene and take measures in time when there is a risk of uneven settlement of the target wind turbine tower foundation, and avoid serious damage to the target wind turbine tower foundation.

[0093] In addition, an embodiment of the present application also proposes a storage medium, on which a wind turbine tower foundation settlement analysis program is stored. When the wind turbine tower foundation settlement analysis program is executed by a processor, the steps of the wind turbine tower foundation settlement analysis method described above are implemented.

[0094] Refer to Figure 5 , Figure 5 which is the structural block diagram of the first embodiment of the wind turbine tower foundation settlement analysis device of the present application.

[0095] As Figure 5 shown, the wind turbine tower foundation settlement analysis device proposed in the embodiment of the present application includes:

[0096] A model construction module 501, configured to collect image data of the target wind turbine tower foundation and construct a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data;

[0097] A settlement observation module 502, configured to select several target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data;

[0098] A settlement analysis module 503, configured to perform settlement analysis on the target wind turbine tower foundation according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation.

[0099] In this embodiment, image data of the target wind turbine tower foundation is collected, and a three-dimensional model corresponding to the target wind turbine tower foundation is constructed according to the image data; several target points are selected from the three-dimensional model, and settlement observation is performed on the target wind turbine tower foundation according to the target points to obtain observation data; settlement analysis is performed on the target wind turbine tower foundation according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation. Compared with the traditional wind turbine tower foundation settlement analysis method, since the method in this embodiment performs settlement observation on the target wind turbine tower foundation according to several target points selected from the three-dimensional model corresponding to the target wind turbine tower foundation, the settlement analysis of the target wind turbine tower foundation can be accurately performed according to the obtained observation data to obtain the settlement trend corresponding to the target wind turbine tower foundation, thereby realizing precise monitoring and timely warning of the settlement of the target wind turbine tower foundation.

[0100] Based on the first embodiment of the above-mentioned wind turbine tower foundation settlement analysis device of the present application, a second embodiment of the wind turbine tower foundation settlement analysis device of the present application is proposed.

[0101] In this embodiment, the model construction module 501 is further configured to collect image data of the target wind turbine tower foundation, where the image data includes front image data, side image data, and oblique view image data; preprocess the image data, and extract features from the preprocessed image data to obtain key feature points; construct a three-dimensional model corresponding to the target wind turbine tower foundation based on the key feature points and the image data.

[0102] Further, the model construction module 501 is further configured to obtain the pose information of the camera corresponding to the image data when the image data is collected, and generate a sparse point cloud according to the pose information and the key feature points; convert the sparse point cloud into a dense point cloud by a multi-view stereo vision method, and construct an initial model according to the dense point cloud; remove noise and simplify the model from the initial model to obtain the three-dimensional model corresponding to the target wind turbine tower foundation.

[0103] Further, the settlement observation module 502 is further configured to determine the force conditions of each point in the target wind turbine tower foundation, and select several target points from the three-dimensional model according to the force conditions; perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data, where the observation data includes the settlement amount, settlement time, and settlement position corresponding to the target wind turbine tower foundation.

[0104] Further, the settlement analysis module 503 is further configured to determine the settlement rate and settlement curvature corresponding to the target wind turbine tower foundation according to the observation data; if the settlement rate is less than a first preset value and the settlement curvature is less than a second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is a normal trend; if the settlement rate is greater than or equal to the first preset value or the settlement curvature is greater than or equal to the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower foundation is an abnormal trend.

[0105] Further, the settlement observation module 502 is further configured to, if the settlement trend is an abnormal trend, calculate the settlement difference value between each observation point in the target wind turbine tower foundation according to the observation data; and determine whether there is a risk of uneven settlement of the target wind turbine tower foundation according to the settlement difference value.

[0106] Other embodiments or specific implementation manners of the wind turbine tower foundation settlement analysis device of the present application may refer to the above method embodiments, and will not be described in detail here.

[0107] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover a non-exclusive inclusion, so that a process, method, article or system including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or system. Without further limitation, an element defined by the phrase "including one..." does not exclude the existence of additional identical elements in the process, method, article or system including the element.

[0108] The serial numbers of the above embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments.

[0109] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as a read-only memory / random access memory, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present application.

[0110] The above are only the preferred embodiments of the present application, and do not limit the patent scope of the present application accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present application, or directly or indirectly applied to other related technical fields, shall be equally included in the patent protection scope of the present application.

Claims

1. A method for analyzing the settlement of a wind turbine tower foundation, characterized in that, The method includes the following steps: Collect image data of the target wind turbine tower base, and construct a three-dimensional model corresponding to the target wind turbine tower base according to the image data; Select several target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower base according to the target points to obtain observation data; Perform settlement analysis on the target wind turbine tower base according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower base.

2. The method for analyzing the settlement of a wind turbine tower foundation according to claim 1, wherein The step of collecting image data of the target wind turbine tower base and constructing a three-dimensional model corresponding to the target wind turbine tower base according to the image data includes: Collect image data of the target wind turbine tower base, where the image data includes front image data, side image data, and oblique image data; Preprocess the image data, and extract features from the preprocessed image data to obtain key feature points; Construct a three-dimensional model corresponding to the target wind turbine tower base based on the key feature points and the image data.

3. The method for analyzing the settlement of a wind turbine tower foundation according to claim 2, characterized in that, The step of constructing a three-dimensional model corresponding to the target wind turbine tower base based on the key feature points and the image data includes: Obtain the pose information of the camera corresponding to when the image data is collected, and generate a sparse point cloud according to the pose information and the key feature points; Convert the sparse point cloud into a dense point cloud by the multi-view stereo vision method, and construct an initial model according to the dense point cloud; Remove noise and simplify the model of the initial model to obtain a three-dimensional model corresponding to the target wind turbine tower base.

4. The method for analyzing the settlement of a wind turbine tower foundation according to claim 1, wherein, The step of selecting several target points from the three-dimensional model, performing settlement observation on the target wind turbine tower base according to the target points, and obtaining observation data includes: Determine the force conditions of each point in the target wind turbine tower base, and select several target points from the three-dimensional model according to the force conditions; Perform settlement observation on the target wind turbine tower base according to the target points to obtain observation data, where the observation data includes the settlement amount, settlement time, and settlement position corresponding to the target wind turbine tower base.

5. The method for analyzing the settlement of a wind turbine tower foundation according to claim 1, characterized in that, The step of performing settlement analysis on the target wind turbine tower base according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower base includes: Determine the settlement rate and settlement curvature corresponding to the target wind turbine tower base according to the observation data; If the settlement rate is less than a first preset value and the settlement curvature is less than a second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower base is a normal trend; If the settlement rate is greater than or equal to the first preset value or the settlement curvature is greater than or equal to the second preset value, it is determined that the settlement trend corresponding to the target wind turbine tower base is an abnormal trend.

6. The method for analyzing the settlement of a wind turbine tower foundation according to claim 1, wherein, After the step of performing settlement analysis on the target wind turbine tower base according to the observation data to obtain the settlement trend corresponding to the target wind turbine tower base, it further includes: If the settlement trend is an abnormal trend, calculate the settlement difference value between each observation point in the target wind turbine tower base according to the observation data; Judge whether there is a risk of uneven settlement of the target wind turbine tower base according to the settlement difference value.

7. A device for analyzing the settlement of a wind turbine tower foundation, characterized in that, The wind turbine tower base settlement analysis device includes: A model construction module, configured to collect image data of a target wind turbine tower foundation and construct a three-dimensional model corresponding to the target wind turbine tower foundation according to the image data; A settlement observation module, configured to select a plurality of target points from the three-dimensional model, and perform settlement observation on the target wind turbine tower foundation according to the target points to obtain observation data; A settlement analysis module, configured to perform settlement analysis on the target wind turbine tower foundation according to the observation data to obtain a settlement trend corresponding to the target wind turbine tower foundation.

8. An equipment for analyzing the settlement of a wind turbine tower foundation, characterized in that, The device includes: a memory, a processor, and a wind turbine tower foundation settlement analysis program stored on the memory and executable on the processor, and the wind turbine tower foundation settlement analysis program is configured to implement the steps of the wind turbine tower foundation settlement analysis method according to any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a wind turbine tower foundation settlement analysis program is stored on the storage medium. When the wind turbine tower foundation settlement analysis program is executed by a processor, the steps of the wind turbine tower foundation settlement analysis method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that, The computer program product includes a wind turbine tower foundation settlement analysis program. When the wind turbine tower foundation settlement analysis program is executed by a processor, the steps of the wind turbine tower foundation settlement analysis method according to any one of claims 1 to 6 are implemented.