Change trend analysis method and device, storage medium and electronic device

Abstract

The invention discloses a change trend analysis method and device, a storage medium and an electronic device, and relates to the field of computers.The change trend analysis method comprises the steps that data collection is conducted on a target area, first data and second data are obtained, the first data are satellite data, the second data are radar data, and the first data and the second data are acquired; the first data and the second data are both used for indicating geological information of the target area; performing data fusion on the first data and the second data to obtain third data; analyzing the change trend of the first object in the target area according to the third data; by adopting the scheme, the problems that in the prior art, only differential settlement of a single fan in a small range can be monitored through a tilt angle sensor, and the uniform settlement of the fan and the topographic change of the whole wind power plant cannot be well monitored are solved.

Description

Technical Field

[0001] The present application relates to the field of computers, and in particular, to a method and device for analyzing a change trend, a storage medium, and an electronic device. Background Art

[0002] Wind turbine settlement not only affects the structural stability of the wind turbine, but may also affect its safe operation and power generation efficiency. Therefore, regular observation and analysis of wind turbine settlement is essential. Regarding wind turbine settlement analysis, the commonly used method on the market is to deploy inclination sensors, which measure the changes in the inclination angle of the wind turbine tower and calculate the possible settlement of the foundation. This method has the characteristics of strong real-time performance and accurate data.

[0003] Although the tilt sensor is used to monitor the wind turbine settlement, it monitors the tilt angle of the wind turbine, but the tilt angle of the wind turbine also indirectly reflects the settlement of the wind turbine foundation. The tilt sensor can measure the tilt angle of the wind turbine tower in real time and quickly transmit the data to the monitoring system, so that the management personnel can timely understand the tilt state of the wind turbine and then evaluate the settlement of the foundation. However, in a fast-moving or vibrating environment, its response speed may be affected to a certain extent. This may result in the inability to capture settlement changes in time in extreme weather or when the wind turbine is operating abnormally. At the same time, this method is only applicable to a single wind turbine, with a small monitoring range, and cannot make good monitoring of terrain changes in a large area.

[0004] Regarding the related technology, currently only the uneven settlement of a single wind turbine within a small range can be monitored through the inclination sensor. The uniform settlement of the wind turbine and the terrain changes of the entire wind farm cannot be well monitored, and no effective solution has been proposed yet.

[0005] Therefore, it is necessary to improve the related technology to overcome the above-mentioned defects in the related technology. Summary of the invention

[0006] The embodiments of the present application provide a method and device for analyzing changing trends, a storage medium and an electronic device, so as to at least solve the problem in the related art that currently only the uneven settlement of a single wind turbine within a small range can be monitored through the inclination sensor, and the uniform settlement of the wind turbine and the terrain changes of the entire wind farm cannot be well monitored.

[0007] According to one aspect of an embodiment of the present application, a method for analyzing a change trend is provided, comprising: collecting data on a target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and the first data and the second data are both used to indicate geological information of the target area; fusing the first data and the second data to obtain third data; and analyzing the change trend of a first object in the target area based on the third data.

[0008] In an exemplary embodiment, before fusing the first data and the second data to obtain the third data, the method further includes: performing data solution on the first data to obtain fourth data, wherein the fourth data is used to indicate the three-dimensional coordinate change information of the target area; performing data interference processing on the second data to obtain fifth data, wherein the fifth data is used to indicate the surface deformation change information of the target area; and performing data fusion on the fourth data and the fifth data to obtain the third data.

[0009] In an exemplary embodiment, performing data solution on the first data to obtain fourth data includes: performing data preprocessing on the first data to obtain processed first data, wherein the data preprocessing includes: filtering processing and data completion processing; performing coordinate solution on the processed first data to obtain three-dimensional coordinate information of the target area; determining three-dimensional coordinate change information of the target area according to the historical three-dimensional coordinate information of the target area and the three-dimensional coordinate information to obtain the fourth data.

[0010] In an exemplary embodiment, data interference processing is performed on the second data to obtain fifth data, including: performing image registration on the second data based on the terrain model of the target area to obtain the registered second data; performing phase difference calculation on the registered second data according to the historical image data of the target area, and generating a differential interference map according to the calculation result; performing phase unwrapping processing on the differential interference map to extract the surface deformation information of the target area from the differential interference map; and correcting the surface deformation information to obtain the fifth data.

[0011] In an exemplary embodiment, analyzing the change trend of the first object in the target area based on the third data includes: analyzing the third data of multiple time dimensions through a time series analysis model to obtain the change rate of the first object in the multiple time dimensions; analyzing the change trend of the first object based on the multiple change rates.

[0012] In an exemplary embodiment, after analyzing the change trend of the first object in the target area according to the third data, the method further includes: obtaining an analysis result corresponding to the change trend of the first object, wherein the analysis result is used to indicate the change trend and change rate of the first object; analyzing the cause of the change of the target area according to the environmental data of the target area and the analysis result, and generating an analysis report; and sending the analysis result and the analysis report to the second object.

[0013] According to another aspect of an embodiment of the present application, a device for analyzing a change trend is also provided, including: a data acquisition module, used to collect data on a target area to obtain first data and second data, wherein the first data is satellite data, and the second data is radar data, and the first data and the second data are both used to indicate geological information of the target area; a data fusion module, used to fuse the first data and the second data to obtain third data; and an analysis module, used to analyze the change trend of a first object in the target area according to the third data.

[0014] According to another aspect of the embodiments of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned change trend analysis method when running.

[0015] According to another aspect of an embodiment of the present application, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the above-mentioned change trend analysis method through the computer program.

[0016] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0017] Through the present application, data is first collected on the target area to obtain first data and second data, wherein the first data is satellite data and the second data is radar data, and the first data and the second data are both used to indicate the geological information of the target area; then the first data and the second data are data fused to obtain third data; finally, the change trend of the first object in the target area is analyzed in all directions based on the third data; by adopting the above scheme, the monitoring data obtained by satellite monitoring and radar monitoring are fully utilized to monitor the wind turbine in all directions, and the time series observation of the wind turbine settlement is realized by calculating the deformation amount and other information; thereby solving the problem in the related technology that currently only the uneven settlement of a single wind turbine in a small range can be monitored through the inclination sensor, and the uniform settlement of the wind turbine and the terrain changes of the entire wind farm cannot be well monitored. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0020] Figure 1 It is a hardware structure block diagram of a computer terminal of a method for analyzing a change trend according to an embodiment of the present application;

[0021] Figure 2 is a flow chart of a method for analyzing a change trend according to an embodiment of the present application;

[0022] Figure 3 It is a schematic diagram of the logical architecture of an optional method for monitoring wind turbine settlement analysis based on satellite remote sensing technology according to an embodiment of the present application;

[0023] Figure 4 It is a schematic diagram of a flow chart of an optional method for monitoring wind turbine settlement analysis based on satellite remote sensing technology according to an embodiment of the present application;

[0024] Figure 5 It is a structural block diagram of a device for analyzing a change trend according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a computer terminal for analyzing a change trend according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor (Central Processing Unit, CPU) or a programmable logic device (Field Programmable Gate Array, FPGA)) and a memory 104 for storing data, wherein the above-mentioned computer terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0028] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the analysis method of the change trend in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0029] A wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0030] In this embodiment, a method for analyzing a change trend is provided. Figure 2is a flow chart of a method for analyzing a change trend according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps S202-S206:

[0031] Step S202: collecting data on the target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area;

[0032] It should be noted that the first data mentioned above can be understood as GNSS data, and the second data can be understood as inSAR data. GNSS monitoring stations and InSAR observation points can be deployed in key parts and sensitive areas of the wind farm station (i.e., the target area mentioned above). These stations will serve as the source of data collection and provide basic data (i.e., the first data and the second data mentioned above) for subsequent settlement analysis.

[0033] It should be noted that the above-mentioned first data collection process can be carried out by periodically receiving satellite signals through a GNSS receiver, and transmitting the collected data (i.e., the first data) to a data center; the second data collection process can use an InSAR sensor to obtain a radar image of the wind farm station area, which usually requires multiple observations at different time points to obtain deformation information.

[0034] It should be noted that the above-mentioned first data and second data can be understood as time series data formed by data collected at multiple time points, so that the continuous changes of the target area within a period of time can be obtained.

[0035] Step S204: performing data fusion on the first data and the second data to obtain third data;

[0036] It should be noted that GNSS data (first data) provides high-precision point deformation information, which can be used as control points of InSAR data to improve the accuracy of InSAR deformation analysis. The specific operation is to insert the displacement data of the GNSS monitoring point into the InSAR deformation map as a known high-precision ground deformation point. Then, these point data are extended to the entire InSAR monitoring area using spatial interpolation methods (such as inverse distance weighting (IDW), Kriging interpolation (Kriging), radial basis function interpolation (RBF), etc.) to generate a high-precision settlement distribution map covering the entire area. The purpose of spatial interpolation is to fill in the settlement information of locations that are not directly observed in the InSAR data, and to correct the systematic errors of the InSAR data. Optionally, the interpolation method can be selected according to the data characteristics and monitoring requirements, and a gradient boosted tree regression model (GBRT) or other machine learning models can be constructed to correct the interpolation results and improve the accuracy of settlement monitoring. During the correction process, terrain features, time features, and meteorological factors can be introduced as input variables to enhance the prediction ability of the model.

[0037] Step S206: analyzing the change trend of the first object in the target area according to the third data.

[0038] It should be noted that the analysis of the change trend of the first object can be understood as the analysis of the settlement trend of the wind turbine, and can also be understood as the analysis of the terrain change trend of several areas in the target area.

[0039] Through the above steps, data is first collected on the target area to obtain first data and second data, wherein the first data is satellite data and the second data is radar data, and the first data and the second data are both used to indicate the geological information of the target area; then the first data and the second data are data fused to obtain third data; finally, the change trend of the first object in the target area is analyzed in all directions according to the third data; by adopting the above scheme, the monitoring data obtained by satellite monitoring and radar monitoring are fully utilized to monitor the wind turbine in all directions, and the time series observation of the settlement of the wind turbine is realized by calculating the deformation amount and other information; thereby solving the problem in the related technology that the inclination sensor can only monitor the uneven settlement of a single wind turbine in a small range, and cannot monitor the uniform settlement of the wind turbine and the terrain changes of the entire wind farm well.

[0040] In an exemplary embodiment, before fusing the first data and the second data to obtain the third data, the method further includes: performing data solution on the first data to obtain fourth data, wherein the fourth data is used to indicate the three-dimensional coordinate change information of the target area; performing data interference processing on the second data to obtain fifth data, wherein the fifth data is used to indicate the surface deformation change information of the target area; and performing data fusion on the fourth data and the fifth data to obtain the third data.

[0041] Before fusing the two types of data, it is necessary to first perform data solution on the first data to obtain the three-dimensional coordinate change information of the monitoring point (the fourth data), and perform data interference processing on the second data to generate a differential interference map and extract the surface deformation information (the fifth data); and then perform data fusion on the processed fourth data and fifth data to obtain the third data.

[0042] Optionally, performing data solution on the first data to obtain fourth data includes: performing data preprocessing on the first data to obtain processed first data, wherein the data preprocessing includes: filtering processing and data completion processing; performing coordinate solution on the processed first data to obtain three-dimensional coordinate information of the target area; determining three-dimensional coordinate change information of the target area according to historical three-dimensional coordinate information of the target area and the three-dimensional coordinate information to obtain the fourth data.

[0043] The process of performing data solving on the first data includes:

[0044] 1. Data preprocessing: The received GNSS data often contains noise and errors, and the processing stage includes denoising, smoothing and outlier detection of the raw data. This usually involves using filtering techniques (such as Kalman filtering) to eliminate or reduce noise in the signal to ensure data quality. At the same time, check the continuity and integrity of the data, and interpolate the missing data (that is, the above-mentioned data completion processing) to ensure the continuity and integrity of the data.

[0045] 2. Coordinate calculation: Use GNSS data calculation software, such as GAMIT / GLOBK, Bernese GNSS, RTKLIB, etc., to accurately calculate the pre-processed data to obtain high-precision three-dimensional coordinate information of the monitoring point. During the calculation process, the data of the monitoring station is compared with the data of the base station to eliminate common errors and improve positioning accuracy.

[0046] 3. Coordinate change analysis: Compare the solved three-dimensional coordinates with the historical coordinates to calculate the coordinate change of the monitoring point over time, that is, the displacement. This step is crucial to identify whether the wind turbine foundation has changes such as settlement and tilt. Coordinate change analysis usually includes statistical analysis and trend analysis to identify possible systematic changes or abnormal situations.

[0047] Optionally, data interference processing is performed on the second data to obtain fifth data, including: performing image registration on the second data based on the terrain model of the target area to obtain registered second data; performing phase difference calculation on the registered second data according to historical image data of the target area, and generating a differential interference map according to the calculation result; performing phase unwrapping processing on the differential interference map to extract surface deformation information of the target area from the differential interference map; and correcting the surface deformation information to obtain the fifth data.

[0048] The process of performing data interference processing on the second data includes:

[0049] 1. Image registration: InSAR technology is based on radar images. First, it is necessary to accurately register the images acquired at different time points to ensure that the two images can be accurately aligned. This is the prerequisite for generating differential interferograms. The registration process may require the assistance of terrain models to reduce the phase error caused by terrain.

[0050] 2. Interference processing: Use InSAR software (such as ISCE, Snap, etc.) to generate differential interferograms, which involves calculating the phase difference of the registered images. The differential interferogram reflects the deformation information of the surface between two observations. By analyzing the phase changes on the interferogram, the ground settlement can be inferred.

[0051] 3. Deformation extraction and correction: Extract deformation information from the differential interferogram, which usually involves a phase unwrapping process to restore the complete surface deformation. Then, the extracted deformation information is corrected to remove the influence of non-surface deformation factors such as atmospheric phase delay and orbit error, ensuring that the final deformation information reflects the real surface settlement.

[0052] Optionally, analyzing the change trend of the first object in the target area based on the third data includes: analyzing the third data of multiple time dimensions through a time series analysis model to obtain the change rate of the first object in the multiple time dimensions; analyzing the change trend of the first object based on the multiple change rates.

[0053] Time series analysis technology (or model) mainly constructs the third data of periodic (such as monthly, quarterly) (i.e. the above multiple time dimensions) into time series data. The time series data can be preprocessed first, including missing value filling, outlier detection and removal. Select a suitable time series analysis model, such as the autoregressive integrated moving average model (ARIMA), long short-term memory network (LSTM), etc. These models can capture the inherent laws of time series data and are used to predict future settlement trends. Through these models, key parameters such as settlement rate and settlement amount in the fan area can be analyzed, and future settlement conditions can be predicted.

[0054] Optionally, after analyzing the change trend of the first object in the target area according to the third data, the method further includes: obtaining an analysis result corresponding to the change trend of the first object, wherein the analysis result is used to indicate the change trend and change rate of the first object; analyzing the cause of the change of the target area according to the environmental data of the target area and the analysis result, and generating an analysis report; and sending the analysis result and the analysis report to the second object.

[0055] Finally, after obtaining the analysis results, the differential interference diagram and other geological data (such as geological structure, hydrogeological conditions, etc.) (i.e. the above-mentioned environmental data) can be combined to comprehensively analyze the settlement trend, rate and cause of the wind turbine foundation, obtain the above-mentioned analysis results and analysis reports, and send them to the user, presenting the analysis results to the user in the form of icons, reports, etc., to provide a scientific basis for the operation and maintenance management of the wind farm. Icons include downward trend diagrams, rate diagrams, contour diagrams, etc.; reports include settlement cause analysis, impact assessment, recommended measures, etc.

[0056] Through the above embodiments, the present application provides a method for monitoring wind turbine settlement analysis based on satellite remote sensing technology. The overall logical architecture of the method is as follows: Figure 3 As shown:

[0057] Among them, the combination of GNSS and InSAR data acquisition and processing, mainly through the combination of GNSS and InSAR monitoring technology, forms a point-to-surface combined three-dimensional ground deformation monitoring method, which not only breaks through the application limitations of a single monitoring technology, but also greatly improves the spatiotemporal resolution of three-dimensional deformation monitoring results. It includes multiple monitoring stations set up at different locations in the area to be monitored, a base station set up in a geologically stable area outside the area to be monitored, and a monitoring and early warning center.

[0058] The analysis of interannual changes in settlement is mainly based on spatial difference and time series analysis techniques. After obtaining the data of ground control points (GCP) or known settlement points as the reference for spatial difference, the spatial interpolation technique selects appropriate spatial interpolation methods, such as inverse distance weighting (IDW), Kriging interpolation (Kriging), radial basis function interpolation (RBF), etc., and selects according to data characteristics and monitoring needs to build a gradient boosted tree regression model (GBRT) or other machine learning models to correct the interpolation results and improve the accuracy of settlement monitoring. In the correction process, terrain features, time features, and meteorological factors can be introduced as input variables to enhance the prediction ability of the model. Time series analysis technology mainly constructs regular (such as monthly and quarterly) surface deformation data obtained by satellite remote sensing technology into time series data, and preprocesses the time series data, including missing value filling, outlier detection and removal, etc. Select appropriate time series analysis models, such as autoregressive integrated moving average model (ARIMA), long short-term memory network (LSTM), etc. These models can capture the inherent laws of time series data and be used to predict future settlement trends. Finally, combined with differential interferograms and other geological data (such as geological structure, hydrogeological conditions, etc.), a comprehensive analysis of the settlement trend, rate and causes of wind turbine foundations is conducted.

[0059] Optionally, the present application further describes the above-mentioned wind turbine settlement monitoring analysis method based on satellite remote sensing technology in combination with another optional embodiment, such as Figure 4 As shown, it mainly includes the following steps:

[0060] Step 1: Deploy GNSS monitoring stations and InSAR observation points at key locations and sensitive areas of wind farm stations. These stations will serve as the source of data collection and provide basic data for subsequent settlement analysis.

[0061] Step 2: The GNSS receiver receives satellite signals regularly and transmits the collected data to the data center. Using InSAR sensors to obtain radar images of the wind farm station area usually requires multiple observations at different time points to obtain deformation information.

[0062] Step 3: Solve the GNSS data to obtain the three-dimensional coordinate change information of the monitoring points. Perform interference processing on the InSAR data to generate differential interference maps and extract surface deformation information.

[0063] Step 4: Fusion processing of GNSS and InSAR data to obtain more comprehensive surface subsidence information, combined with other geological data (such as geological structure, hydrogeological conditions, etc.).

[0064] Step 5: The analysis process involves technical means such as spatial interpolation and time series analysis to comprehensively analyze the settlement trend, rate and causes of the wind turbine foundation. Using the acquired satellite remote sensing data and ground control point data, a surface settlement distribution map of the entire wind turbine area is generated through a spatial difference algorithm. The settlement rate, settlement amount and other key parameters of the wind turbine area are analyzed through a time series model, and future settlement conditions are predicted.

[0065] Step 6: Present the analysis results in the form of icons and reports to provide a scientific basis for the operation and maintenance of the wind farm. The charts include downward trend charts, rate charts, contour charts, etc. The reports include settlement cause analysis, impact assessment, and recommended measures.

[0066] Through the above methods, on the one hand, satellite remote sensing technology can obtain surface impact data from high altitudes, and can realize continuous and comprehensive monitoring of the entire wind farm and even a wider area, without being restricted by natural conditions such as terrain and climate. In addition, satellite remote sensing technology has high sensitivity and can capture tiny surface deformation information, which is particularly important for monitoring the settlement of wind turbine foundations. On the other hand, satellite remote sensing technology can achieve long-term and continuous monitoring, providing strong support for analyzing the settlement trend of wind turbine foundations. Combining a variety of remote sensing data and technical means such as geographic information systems (GIS), it can conduct a comprehensive and in-depth analysis of the settlement of wind turbine foundations and reveal the causes and laws of settlement.

[0067] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0068] In the present embodiment, a device for analyzing a change trend is also provided, and the device is used to implement the above-mentioned embodiment and preferred implementation mode, and the descriptions that have been made are not repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the equipment described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceived.

[0069] Figure 5 : is a structural block diagram of a device for analyzing a change trend according to an embodiment of the present application, the device comprising:

[0070] A data acquisition module 52 is used to collect data on the target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and the first data and the second data are both used to indicate geological information of the target area;

[0071] A data fusion module 54, configured to fuse the first data and the second data to obtain third data;

[0072] The analysis module 56 is used to analyze the change trend of the first object in the target area according to the third data.

[0073] Through the above-mentioned device, data is first collected on the target area to obtain first data and second data, wherein the first data is satellite data and the second data is radar data, and the first data and the second data are both used to indicate the geological information of the target area; then the first data and the second data are data fused to obtain third data; finally, the change trend of the first object in the target area is analyzed in all directions according to the third data; by adopting the above-mentioned scheme, the monitoring data obtained by satellite monitoring and radar monitoring are fully utilized to monitor the wind turbine in all directions, and the time series observation of the settlement of the wind turbine is realized by calculating the deformation amount and other information; thereby solving the problem in the related technology that the inclination sensor can only monitor the uneven settlement of a single wind turbine in a small range, and cannot make good monitoring of the uniform settlement of the wind turbine and the terrain changes of the entire wind farm.

[0074] Optionally, the above-mentioned data acquisition module 52 is also used to perform data solution on the first data to obtain fourth data, wherein the fourth data is used to indicate the three-dimensional coordinate change information of the target area; perform data interference processing on the second data to obtain fifth data, wherein the fifth data is used to indicate the surface deformation change information of the target area; perform data fusion on the fourth data and the fifth data to obtain the third data.

[0075] Optionally, the above-mentioned data acquisition module 52 is also used to perform data preprocessing on the first data to obtain processed first data, wherein the data preprocessing includes: filtering processing, data completion processing; performing coordinate calculation on the processed first data to obtain three-dimensional coordinate information of the target area; determining the three-dimensional coordinate change information of the target area according to the historical three-dimensional coordinate information of the target area and the three-dimensional coordinate information to obtain the fourth data.

[0076] Optionally, the above-mentioned data acquisition module 52 is also used to perform image registration on the second data based on the terrain model of the target area to obtain the registered second data; perform phase difference calculation on the registered second data according to the historical image data of the target area, and generate a differential interference map according to the calculation result; perform phase unwrapping processing on the differential interference map to extract the surface deformation information of the target area from the differential interference map; and correct the surface deformation information to obtain the fifth data.

[0077] Optionally, the above-mentioned analysis module 56 is also used to analyze the third data of multiple time dimensions through a time series analysis model to obtain the change rate of the first object in the multiple time dimensions; and analyze the change trend of the first object according to the multiple change rates.

[0078] Optionally, the above-mentioned analysis module 56 is also used to obtain analysis results corresponding to the change trend of the first object, wherein the analysis results are used to indicate the change trend and change rate of the first object; analyze the reasons for the change of the target area according to the environmental data of the target area and the analysis results, and generate an analysis report; and send the analysis results and the analysis report to the second object.

[0079] An embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when run.

[0080] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0081] S1, collecting data on a target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area;

[0082] S2, performing data fusion on the first data and the second data to obtain third data;

[0083] S3: Analyze the change trend of the first object in the target area according to the third data.

[0084] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0085] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0086] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0087] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0088] S1, collecting data on a target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area;

[0089] S2, performing data fusion on the first data and the second data to obtain third data;

[0090] S3: Analyze the change trend of the first object in the target area according to the third data.

[0091] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0092] An embodiment of the present application further provides a computer program product, comprising a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0093] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0094] S1, collecting data on a target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area;

[0095] S2, performing data fusion on the first data and the second data to obtain third data;

[0096] S3: Analyze the change trend of the first object in the target area according to the third data.

[0097] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail herein.

[0098] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0099] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for analyzing a change trend, characterized in that: include: Collecting data on the target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area; Performing data fusion on the first data and the second data to obtain third data; The change trend of the first object in the target area is analyzed according to the third data.

2. The method according to claim 1, characterized in that Before fusing the first data and the second data to obtain third data, the method further includes: Performing data analysis on the first data to obtain fourth data, wherein the fourth data is used to indicate three-dimensional coordinate change information of the target area; Performing data interference processing on the second data to obtain fifth data, wherein the fifth data is used to indicate the surface deformation change information of the target area; The fourth data and the fifth data are fused to obtain the third data.

3. The method according to claim 2, characterized in that Performing data solving on the first data to obtain fourth data includes: Performing data preprocessing on the first data to obtain processed first data, wherein the data preprocessing includes: filtering processing and data completion processing; Performing coordinate calculation on the processed first data to obtain three-dimensional coordinate information of the target area; The three-dimensional coordinate change information of the target area is determined according to the historical three-dimensional coordinate information of the target area and the three-dimensional coordinate information to obtain the fourth data.

4. The method according to claim 2, characterized in that: Performing data interference processing on the second data to obtain fifth data includes: Performing image registration on the second data based on the terrain model of the target area to obtain registered second data; Performing phase difference calculation on the registered second data according to the historical image data of the target area, and generating a differential interference map according to the obtained calculation result; Performing phase unwrapping processing on the differential interferogram to extract surface deformation information of the target area from the differential interferogram; The surface deformation information is corrected to obtain the fifth data.

5. The method according to claim 1, characterized in that Analyzing the change trend of the first object in the target area according to the third data includes: Analyze the third data in multiple time dimensions by using a time series analysis model to obtain the change rate of the first object in the multiple time dimensions; The change trend of the first object is analyzed according to the multiple change rates.

6. The method according to claim 1, characterized in that After analyzing the change trend of the first object in the target area according to the third data, the method further includes: Obtaining an analysis result corresponding to the change trend of the first object, wherein the analysis result is used to indicate the change trend and change rate of the first object; Analyze the cause of the change of the target area according to the environmental data of the target area and the analysis result, and generate an analysis report; The analysis result and the analysis report are sent to a second object.

7. A device for analyzing a change trend, characterized in that: include: A data acquisition module, used to collect data from a target area to obtain first data and second data, wherein the first data is satellite data, the second data is radar data, and both the first data and the second data are used to indicate geological information of the target area; A data fusion module, used for fusing the first data and the second data to obtain third data; An analysis module is used to analyze the change trend of the first object in the target area according to the third data.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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