A method for measuring the strength of turbine blades in hydropower plants

Abstract

The invention provides a method for measuring the strength of a turbine blade in a hydropower plant, which relates to the technical field of turbine blade detection, and comprises the following steps: S1, data acquisition and preprocessing; S2, database establishment and data integration; S3, three-dimensional coordinate reconstruction and digital modeling; S4, fluid-solid coupling analysis and strength testing; S5, environmental adaptability analysis; S6, safety analysis and result application; S7, big data comparison and data backup; The advantage of this design is that the three-dimensional coordinate data and fluid-solid coupling analysis results of the blade can be accurately obtained without damaging the blade, and then through the integration of three-dimensional reconstruction technology and database, through detailed flow field simulation and stress analysis, the performance of the blade in actual operation can be more accurately predicted, and targeted improvement measures can be taken, so that detection is carried out without actually applying a mechanical load, thereby reducing detection costs and time consumption.

Description

Technical Field

[0001] The invention relates to the technical field of water turbine blade detection, and in particular to a method for measuring the strength of water turbine blades in a hydropower plant. Background Art

[0002] The turbine blades of a hydropower plant are key components that convert water flow energy into mechanical energy. Through carefully designed shape and layout, they guide the water flow to impact at the optimal angle, thereby efficiently converting energy, driving the turbine to rotate, and then driving the generator to generate electricity.

[0003] In some existing technologies, the strength testing of turbine blades in hydropower plants often relies on physical strength testing methods. These methods usually involve applying actual mechanical loads to the blades to simulate the forces they may encounter during operation, thereby evaluating their strength and durability.

[0004] However, physical testing usually requires special equipment and professionals to operate. This requirement not only significantly increases the cost of blade testing, but also leads to a longer testing cycle. Due to the high cost of purchasing and maintaining special equipment, coupled with the training and labor costs of professionals, the overall cost is high. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and provide a method for measuring the strength of turbine blades in a hydropower plant.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: a method for measuring the strength of a turbine blade in a hydropower plant, comprising the following steps:

[0007] S1, data collection and preprocessing;

[0008] S2, database establishment and data integration;

[0009] S3, 3D coordinate reconstruction and digital modeling;

[0010] S4, fluid-solid coupling analysis and strength testing;

[0011] S5. Environmental adaptability analysis;

[0012] S6. Safety analysis and application of results;

[0013] S7. Database update and report generation.

[0014] As a preferred implementation, in step S1, the specific steps are: selecting specific areas of the turbine blades as positions to be measured, and pasting marking points on these positions;

[0015] In step S1, the specific steps are: using a high-precision digital camera to take multi-angle photos of the leaves with the marker points attached to them to obtain comprehensive image data;

[0016] In the step S1, the specific steps are: inputting the captured image data into a computer, and using specific measurement software to pre-process the image, including image correction, enhancement and preliminary identification of landmarks.

[0017] The technical effect of adopting the above technical solution is: through multi-angle shooting and image preprocessing, the details of the blade surface can be captured more comprehensively, providing a high-quality image source for three-dimensional reconstruction.

[0018] As a preferred implementation, in step S2, the specific steps are: designing a database structure capable of storing three-dimensional coordinate data and fluid-solid coupling analysis results, and the structure should contain necessary model elements, attributes and association relationships;

[0019] In step S2, the specific steps are: importing the three-dimensional coordinate data of the blade obtained by photogrammetry into the designed database;

[0020] In step S2, the specific steps are: integrating the results of the fluid-solid coupling analysis with the three-dimensional coordinate data obtained by photogrammetry, and verifying the consistency and integrity of the data.

[0021] The technical effect of adopting the above technical solution is that the stress distribution and deformation of the turbine blades under actual working conditions can be accurately simulated.

[0022] As a preferred implementation, in step S3, the specific steps are: using measurement software to accurately identify and locate the marker points of the image input into the computer, and determining the two-dimensional coordinates of each marker point;

[0023] In step S3, the specific steps are: matching corresponding landmark points with the same name in images of different viewing angles to ensure that the coordinates of the same physical point in different images can accurately correspond;

[0024] In step S3, the specific steps are: using the coordinates of the matched landmarks with the same name in multiple two-dimensional images, applying three-dimensional reconstruction technology to calculate the three-dimensional coordinates of each landmark;

[0025] In step S3, the specific steps are: constructing a three-dimensional model of the turbine blade according to the calculated three-dimensional coordinates of a large number of marking points, and using the model to measure the outer dimensions and profile of the blade.

[0026] The technical effect of adopting the above technical solution is that it can realize accurate 3D modeling of turbine blades, thus providing reliable data support for subsequent strength analysis and structural optimization. Through this 3D model, engineers can intuitively observe the geometric shape of the blades, identify possible defects or wear areas, and then carry out targeted maintenance and repair.

[0027] As a preferred implementation, in step S4, the specific steps are: using 3D modeling software to establish an accurate 3D geometric model of the turbine runner, and extracting a flow channel model therefrom;

[0028] In the step S4, the specific steps are: meshing the extracted flow channel model and assigning corresponding physical parameters according to material properties;

[0029] In step S4, the specific steps are: using flow field simulation software to perform flow field numerical simulation on the meshed flow channel model to obtain data such as velocity and pressure distribution in the flow channel;

[0030] In step S4, the specific steps are: importing the data obtained from the flow field simulation into the statics analysis software, meshing the impeller geometric model in the software, setting boundary conditions, and loading the centrifugal load.

[0031] The technical effect of adopting the above technical solution is that it can simulate the flow field conditions of the turbine in actual operation, so as to accurately predict the stress state of the blades under different working conditions.

[0032] As a preferred implementation, in step S5, the specific steps are: determining the main environmental factors affecting the performance of turbine blades;

[0033] In step S5, the specific steps are: analyzing how these environmental factors affect the performance of turbine blades;

[0034] In step S5, the specific steps are: simulating the hydrodynamic performance of turbine blades under different environmental conditions, analyzing flow velocity, pressure distribution, etc.;

[0035] In step S5, the specific steps are: verifying the accuracy of the simulation results through model tests and field tests, and adjusting the design parameters to optimize the blade performance.

[0036] The technical effect of adopting the above technical solution is that it can comprehensively evaluate the impact of environmental factors on blade performance, thereby providing a scientific basis for blade design.

[0037] As a preferred implementation, in step S6, the specific steps are: performing static stress analysis and dynamic stress analysis on the long blades and short blades of the turbine respectively, and calculating the stresses on the blades under different working conditions;

[0038] In step S6, the specific steps are: based on the results of static stress and dynamic stress analysis, a safety analysis is performed on the turbine runner blades to identify weak parts of the blades;

[0039] In step S6, the specific steps are: according to the results of the safety analysis, formulate a blade inspection and maintenance plan, and guide the design modification of the blade.

[0040] The technical effect of adopting the above technical solution is that it can ensure the safe operation of the turbine blades under various working conditions.

[0041] As a preferred implementation, in step S7, the specific steps are: using a data analysis tool to compare and analyze a large amount of collected data to identify patterns, trends and outliers in the data;

[0042] In step S7, the specific steps are: comparing data at different time points and under different conditions to evaluate the change and stability of turbine blade performance;

[0043] In step S7, the specific steps are: performing data backup operations in real time to ensure that all key data are safely stored in the backup medium and the database.

[0044] The technical effect of adopting the above technical solution is that potential problems of blade performance can be discovered and solved in a timely manner, thereby extending the service life of the turbine blades and improving their operating efficiency.

[0045] Compared with the prior art, the advantages and positive effects of the present invention are:

[0046] By sticking marker points on specific areas of the turbine blades and using a high-precision digital camera to take multi-angle photos, comprehensive image data is obtained, and then the image data is input into a computer and pre-processed using specific measurement software, including image correction, enhancement and preliminary identification of marker points. The advantage of this design is that it can accurately obtain the three-dimensional coordinate data and fluid-solid coupling analysis results of the blades without damaging the blades. This method not only improves the safety of detection, but also reduces detection costs and time consumption. In addition, through the integration of three-dimensional reconstruction technology and database, the performance of the blades in actual operation can be simulated more accurately, providing more reliable data support for the design and maintenance of the blades.

[0047] By building a three-dimensional model of the turbine runner and accurately describing the blade geometry, the blade flow field can be numerically simulated in detail by extracting and meshing the flow channel model to obtain velocity and pressure data. These data are then imported into the static analysis software to mesh the impeller model; the benefit of this design is that it provides a non-destructive testing method. Through detailed flow field simulation and stress analysis, it can more accurately predict the performance of the blade in actual operation and take targeted improvement measures. In this way, the test can be carried out without actually applying mechanical loads, thereby reducing the cost and time consumption of testing.

[0048] By using data analysis tools to conduct in-depth analysis of the large amount of collected data, patterns, trends and outliers in the data can be identified. At the same time, real-time data backup technology is used to ensure that all key data is securely stored in backup media and databases. The benefit of this design is that through the application of three-dimensional reconstruction technology and databases, a more comprehensive understanding and prediction of blade performance can be achieved, providing a richer data foundation, providing data for detection, and ensuring that all key data is securely stored in backup media and databases, avoiding the risk of data loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of a flow chart of a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0050] Figure 2 A schematic diagram of a data collection and preprocessing process based on a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0051] Figure 3 A schematic diagram of a database establishment and data integration process based on a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0052] Figure 4 A schematic diagram of a three-dimensional coordinate reconstruction and digital modeling process based on a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0053] Figure 5 A schematic diagram of a flow chart of fluid-solid coupling analysis and strength test based on a strength determination method for a turbine blade in a hydropower plant provided by the present invention;

[0054] Figure 6 A schematic diagram of an environmental adaptability analysis process based on a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0055] Figure 7 A schematic diagram of a safety analysis and result application process based on a method for determining the strength of a turbine blade in a hydropower plant provided by the present invention;

[0056] Figure 8 A schematic diagram of a big data comparison and data backup process based on a hydropower plant turbine blade strength determination method provided by the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 and Figure 2 As shown, this embodiment provides a technical solution: a method for measuring the strength of a turbine blade in a hydropower plant, comprising the following steps:

[0059] S1, data acquisition and preprocessing; in step S1, the specific steps are: select specific areas of the turbine blades as positions to be measured, and paste marking points at these positions; in step S1, the specific steps are: use a high-precision digital camera to shoot the blades with marking points at multiple angles to obtain comprehensive image data; in step S1, the specific steps are: input the captured image data into a computer, and use specific measurement software to preprocess the image, including image correction, enhancement and preliminary identification of marking points;

[0060] Select the location to be tested to determine the specific area of ​​the turbine blade, select the location where stress is concentrated as the location to be tested, and paste the marking points at these locations for subsequent image processing and measurement. Multi-angle shooting Use a high-precision digital camera to shoot the blades with the marking points at multiple angles to ensure that all important angles are covered. Keep the camera stable during shooting to avoid blur. Data input and preprocessing Import the captured image data into the computer and use specific measurement software for image preprocessing;

[0061] Among them, the geometric distortion of the image is adjusted to ensure the accuracy of the position of the marker points;

[0062] Among them, filters and contrast adjustments are applied to improve image clarity and readability;

[0063] Among them, an image processing algorithm is used to identify and mark the pasted landmark points;

[0064] like Figure 1 and Figure 3As shown, S2, database establishment and data integration; in step S2, the specific steps are: designing a database structure capable of storing three-dimensional coordinate data and fluid-solid coupling analysis results, and the structure should contain necessary model elements, attributes and associations; in step S2, the specific steps are: importing the three-dimensional coordinate data of the blade obtained by photogrammetry into the designed database; in step S2, the specific steps are: integrating the results of the fluid-solid coupling analysis with the three-dimensional coordinate data obtained by photogrammetry, and verifying the consistency and integrity of the data;

[0065] According to the characteristics of 3D coordinate data and fluid-solid coupling analysis results, a database structure with a star or snowflake schema is designed. The star schema includes a central fact table and multiple dimension tables, while the snowflake schema is an extension of the star schema. Data redundancy is reduced by further normalizing the dimension tables. The fact table should contain the measurement values ​​of the 3D coordinate data and fluid-solid coupling analysis results, as well as foreign keys pointing to the dimension tables. Unique identifiers, measurement values, and foreign keys need to be considered. The dimension tables store model elements, attributes, and other information. Each dimension table should have a unique identifier and attributes, such as time, location, product information, etc., to ensure that the database design meets the third normal form to avoid data redundancy and maintain data consistency.

[0066] Convert the three-dimensional coordinate data obtained by photogrammetry into a format suitable for database storage, and then import the data into the designed database;

[0067] Map the results of fluid-solid coupling analysis with the 3D coordinate data to ensure the correct correspondence between the data, and check whether the integrated data meets the predetermined consistency rules, such as foreign key constraints, to ensure the relevance and consistency of the data;

[0068] like Figure 1 and Figure 4 As shown, S3, three-dimensional coordinate reconstruction and digital modeling; in step S3, the specific steps are: use measurement software to accurately identify and locate the marker points of the image input to the computer, and determine the two-dimensional coordinates of each marker point; in step S3, the specific steps are: match the corresponding marker points with the same name in images of different perspectives to ensure that the coordinates of the same physical point in different images can accurately correspond; in step S3, the specific steps are: use the coordinates of the matched marker points with the same name in multiple two-dimensional images, and apply three-dimensional reconstruction technology to calculate the three-dimensional coordinates of each marker point; in step S3, the specific steps are: construct a three-dimensional model of the turbine blade according to the three-dimensional coordinates of a large number of marker points calculated, and use the model to measure the outer dimensions and profile of the blade;

[0069] By applying an image recognition algorithm, the landmarks in the image are identified, and for each identified landmark, its two-dimensional coordinates on the image plane are determined using measurement software;

[0070] In images from different perspectives, the corresponding landmarks with the same name are matched through feature matching technology to ensure that the landmarks with the same name in different images are in a unified coordinate system for accurate 3D reconstruction. The accuracy and consistency of the matched landmarks with the same name are ensured through geometric verification or statistical methods.

[0071] According to project requirements, select appropriate 3D reconstruction technology, such as stereo vision, structured light scanning or point cloud-based reconstruction methods, use the coordinates of matching landmarks with the same name in multiple 2D images, calculate the 3D coordinates of each landmark through a 3D reconstruction algorithm, and optimize the reconstruction results, such as removing outliers and smoothing, to improve the accuracy of the model;

[0072] Based on the calculated 3D coordinates of a large number of landmark points, a 3D model of the turbine blade is constructed using 3D modeling software. The 3D model is refined, including filling holes, smoothing surfaces, optimizing topological structures, etc., to improve the quality and practicality of the model. The constructed 3D model is used to measure the outer dimensions and profile of the blade to provide accurate data support for subsequent engineering applications.

[0073] like Figure 1 and Figure 5 As shown, S4, fluid-solid coupling analysis and strength test; in step S4, the specific steps are: using three-dimensional modeling software to establish an accurate three-dimensional geometric model of the turbine runner, and extracting the flow channel model from it; in step S4, the specific steps are: meshing the extracted flow channel model, and assigning corresponding physical parameters according to material properties; in step S4, the specific steps are: using flow field simulation software to perform flow field numerical simulation on the meshed flow channel model to obtain data such as velocity and pressure distribution in the flow channel; in step S4, the specific steps are: importing the data obtained from the flow field simulation into the static analysis software, and meshing the impeller geometric model in the software, setting boundary conditions, and loading centrifugal loads;

[0074] Refine the model, including filling holes, smoothing surfaces, optimizing topological structures, etc., to improve the quality and practicality of the model. Extract the flow channel part from the overall turbine runner model, which involves geometric cutting or separation operations. Ensure that the extracted flow channel model is consistent with the actual geometry and size to facilitate the accuracy of subsequent analysis. Mesh the extracted flow channel model, select the appropriate mesh type and mesh density to ensure the accuracy and efficiency of the calculation, assign corresponding physical parameters according to material properties, and use flow field simulation software to perform flow field numerical simulation on the meshed flow channel model. , define the boundary conditions of the flow channel model, including inlet velocity, outlet pressure, wall conditions, etc., perform numerical simulation of the flow field, obtain data such as velocity and pressure distribution in the flow channel for subsequent fluid-solid coupling analysis, import the data obtained from the flow field simulation into the static analysis software, mesh the impeller geometry model, select the appropriate unit type and mesh density, load the centrifugal load according to the operating conditions of the turbine, simulate the force of the impeller under high-speed rotation, run the solver, perform static analysis, calculate the displacement, stress, strain and other results of the impeller, and evaluate the strength and stability of the impeller;

[0075] like Figure 1 and Figure 6 As shown, S5, environmental adaptability analysis; in step S5, the specific steps are: determining the main environmental factors that affect the performance of turbine blades; in step S5, the specific steps are: analyzing how these environmental factors affect the performance of turbine blades; in step S5, the specific steps are: simulating the hydrodynamic performance of turbine blades under different environmental conditions, analyzing flow velocity, pressure distribution, etc.; in step S5, the specific steps are: verifying the accuracy of simulation results through model tests and field tests, and adjusting design parameters to optimize blade performance;

[0076] Identify environmental factors including temperature, humidity, pressure, water quality, flow rate, altitude, etc., which will affect the performance of turbine blades, and evaluate the specific effects of environmental factors on turbine blade performance, such as the effects of temperature and atmospheric pressure changes on cavitation performance, and the corrosive effects of water quality on blade materials;

[0077] Use CFD technology to simulate the hydrodynamic performance of turbine blades under different environmental conditions, analyze flow velocity, pressure distribution, etc., including the calculation of the inflow angle and pitch angle of the blades, and the application of the momentum theorem in the calculation of fluid thrust and torque. Conduct model tests and field tests to verify the accuracy of the simulation results, including testing the hydrodynamic characteristics of turbine blades and verifying the optimal tip speed ratio of the designed blades. According to the simulation and test results, adjust the design parameters to optimize the blade performance, including changing the blade angle, shape or material to improve efficiency and durability;

[0078] Combine BEM theory and CFD numerical simulation to analyze key parameters in blade design, such as the distribution of load parameters in speed ratio and blade span position. Based on CFD simulation technology, analyze the hydrodynamic performance of impellers running at different scales and flow rates, consider the impact of Reynolds number changes on turbine performance, analyze the changes and causes of hydrodynamic performance during cavitation, and how to reduce the impact of cavitation through design;

[0079] like Figure 1 and Figure 7 As shown, S6, safety analysis and result application; in step S6, the specific steps are: static stress analysis and dynamic stress analysis are performed on the long blades and short blades of the turbine respectively, and the stresses on the blades under different working conditions are calculated; in step S6, the specific steps are: according to the results of the static stress and dynamic stress analysis, safety analysis is performed on the turbine runner blades to identify the weak parts of the blades; in step S6, the specific steps are: according to the results of the safety analysis, a blade inspection and maintenance plan is formulated, and the design modification of the blades is guided;

[0080] Conduct static stress analysis and dynamic stress analysis on the long and short blades of the turbine respectively;

[0081] First, it is necessary to build a three-dimensional model of the turbine runner, which is usually completed through three-dimensional modeling software. The long blades and short blades are meshed separately. This is a pre-step for finite element analysis. It is used to discretize the continuous geometric model and analyze the load conditions on the turbine runner, including water pressure, centrifugal force, etc. According to the load conditions on the runner and the force field distribution of the turbine, the force fields of the long blades and short blades are obtained. Static stress analysis is performed on the blades to calculate the static stress on the blades under different working conditions. Dynamic stress analysis is performed on the blades to calculate the dynamic stress on the blades during rotation, including the stress caused by the impact force of the water flow and the centrifugal force.

[0082] Based on the results of static and dynamic stress analysis, safety analysis of turbine runner blades is performed;

[0083] Based on the results of static and dynamic stress analysis, conduct safety analysis on turbine runner blades to determine whether the blades meet the safety requirements of design and operation. By analyzing the stress distribution, identify the weak parts of the blades, which are in areas of high stress concentration or where the stress exceeds the allowable value of the material;

[0084] According to the results of safety analysis, formulate inspection and maintenance plans for blades, and guide the design modification of blades;

[0085] Check the weak parts of the blades and use non-destructive testing methods such as ultrasound and X-ray to find potential cracks or defects. According to the operating conditions and test results of the blades, formulate maintenance plans, including repairing or replacing damaged blades, and performing regular maintenance and servicing. Use the results of the safety analysis to redesign the blades to improve their safety and reliability, including changing the shape and material of the blades or adding reinforcement structures, etc. Perform performance estimation through CFD flow field simulation. If the blade performance does not meet the requirements, further modify the blade geometry based on the flow field analysis results, and then perform CFD flow field simulation again, and repeat this process until the blade performance meets the requirements.

[0086] like Figure 1 and Figure 8 As shown, S7, big data comparison and data backup; in step S7, the specific steps are: using data analysis tools to compare and analyze the large amount of data collected to identify patterns, trends and outliers in the data; in step S7, the specific steps are: comparing data at different time points and under different conditions to evaluate the changes and stability of turbine blade performance; in step S7, the specific steps are: performing data backup operations in real time to ensure that all key data are securely stored in the backup medium and database;

[0087] You need to prepare the data source and import it into the data analysis tool. When performing data comparison and analysis, use the screening and filtering functions to extract abnormal data for more accurate comparative analysis. Use bar charts and pie charts to display the composition and proportion of small data sets for intuitive comparison. Use box plots to display data distribution and outliers, which are suitable for comparing the central trend and dispersion of different data sets. Perform a full backup of the database and back up the database data to a file. On the basis of the full backup, use an incremental backup strategy to only back up data that has changed since the last backup, which can reduce the use of storage space.

[0088] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for measuring the strength of turbine blades in a hydropower plant, characterized in that: The following steps are involved: S1, data collection and preprocessing; S2, database establishment and data integration; S3, 3D coordinate reconstruction and digital modeling; S4, fluid-solid coupling analysis and strength testing; S5. Environmental adaptability analysis; S6. Safety analysis and application of results; S7. Big data comparison and data backup.

2. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In the step S1, the specific steps are: selecting specific areas of the turbine blades as positions to be measured, and pasting marking points on these positions; In step S1, the specific steps are: using a high-precision digital camera to take multi-angle photos of the leaves with the marker points attached to them to obtain comprehensive image data; In step S1, the specific steps are: inputting the captured image data into a computer, and using specific measurement software to pre-process the image, including image correction, enhancement and preliminary identification of landmarks.

3. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In step S2, the specific steps are: designing a database structure capable of storing three-dimensional coordinate data and fluid-solid coupling analysis results, and the structure should contain necessary model elements, attributes and association relationships; In step S2, the specific steps are: importing the three-dimensional coordinate data of the blade obtained by photogrammetry into the designed database; In step S2, the specific steps are: integrating the results of the fluid-solid coupling analysis with the three-dimensional coordinate data obtained by photogrammetry, and verifying the consistency and integrity of the data.

4. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In step S3, the specific steps are: using measurement software to accurately identify and locate the marker points of the image input to the computer, and determine the two-dimensional coordinates of each marker point; In step S3, the specific steps are: matching corresponding landmark points with the same name in images of different viewing angles to ensure that the coordinates of the same physical point in different images can accurately correspond; In step S3, the specific steps are: using the coordinates of the matched landmarks with the same name in multiple two-dimensional images, applying three-dimensional reconstruction technology to calculate the three-dimensional coordinates of each landmark; In step S3, the specific steps are: constructing a three-dimensional model of the turbine blade according to the calculated three-dimensional coordinates of a large number of marking points, and using the model to measure the outer dimensions and profile of the blade.

5. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In the step S4, the specific steps are: using 3D modeling software to establish an accurate 3D geometric model of the turbine runner, and extracting a flow channel model therefrom; In the step S4, the specific steps are: meshing the extracted flow channel model and assigning corresponding physical parameters according to material properties; In step S4, the specific steps are: using flow field simulation software to perform flow field numerical simulation on the meshed flow channel model to obtain data such as velocity and pressure distribution in the flow channel; In step S4, the specific steps are: importing the data obtained from the flow field simulation into the static analysis software, and meshing the impeller geometric model in the software, setting boundary conditions, and loading the centrifugal load.

6. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In the step S5, the specific steps are: determining the main environmental factors affecting the performance of the turbine blades; In step S5, the specific steps are: analyzing how these environmental factors affect the performance of turbine blades; In step S5, the specific steps are: simulating the hydrodynamic performance of turbine blades under different environmental conditions, analyzing flow velocity, pressure distribution, etc.; In step S5, the specific steps are: verifying the accuracy of the simulation results through model tests and field tests, and adjusting the design parameters to optimize the blade performance.

7. The method for measuring the strength of a turbine blade in a hydropower plant according to claim 1, characterized in that: In step S6, the specific steps are: performing static stress analysis and dynamic stress analysis on the long blades and short blades of the turbine respectively, and calculating the stresses on the blades under different working conditions; In step S6, the specific steps are: based on the results of static stress and dynamic stress analysis, a safety analysis is performed on the turbine runner blades to identify weak parts of the blades; In step S6, the specific steps are: according to the results of the safety analysis, formulate a blade inspection and maintenance plan, and guide the design modification of the blade.

8. The method for measuring the strength of turbine blades in a hydropower plant according to claim 1, characterized in that: In step S7, the specific steps are: using data analysis tools to compare and analyze the large amount of collected data to identify patterns, trends and outliers in the data; In step S7, the specific steps are: comparing data at different time points and under different conditions to evaluate the change and stability of turbine blade performance; In step S7, the specific steps are: performing data backup operations in real time to ensure that all key data are safely stored in the backup medium and the database.

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