Experimental measurement method for simultaneously measuring dynamic caustic and DIC

Abstract

The invention discloses an experimental measurement method for simultaneously measuring dynamic caustic and DIC, and compared with an existing traditional measurement technology, the method for simultaneously measuring the dynamic caustic and the DIC is remarkably improved. In traditional measurement, a single experimental method often has a large error range, and the requirements of high precision and high reliability are difficult to consider. By introducing data fusion of the two systems, the method effectively makes up for the defects of a single measurement technology, and provides more accurate and reliable experimental data. Repeated calculation and fine analysis of each step enable the final measurement result to be greatly optimized, particularly in the measurement of object deformation, fine changes can be better captured, and the influence of external interference is reduced. The novel experimental measurement method not only improves the precision of the experimental result, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of the modern experimental technology.

Description

Technical Field

[0001] The present application relates to the field of experimental measurement technology, and in particular to an experimental measurement method for simultaneous measurement of dynamic caustics and DIC. Background Art

[0002] Dynamic caustics experiments and digital image correlation (DIC) are two important strain measurement techniques. Dynamic caustics experiments, based on the transmission principle, use a camera to continuously capture a sequence of images of an object's surface deformation to measure surface strain. DIC, on the other hand, precisely tracks surface deformation or displacement by capturing and analyzing the formation and movement of the spray pattern. Each offers its own advantages for different measurement needs.

[0003] While dynamic caustics experiments and DIC techniques each have their own advantages, they also have certain limitations in practical applications. A single experimental measurement method is often affected by factors such as changes in the external environment, equipment precision limitations, and data processing methods, which can affect the accuracy of the measurement results. Specifically, dynamic caustics experiments rely on cameras to capture image sequences of the object surface and perform subsequent analysis. Their accuracy is easily affected by factors such as external force fluctuations and surface coating characteristics. DIC technology, on the other hand, is limited by the quality of the spray pattern and image resolution, which can lead to errors in deformation measurement. Summary of the Invention

[0004] The main purpose of this application is to provide an experimental measurement method for simultaneous measurement of dynamic focal dispersion and DIC, so as to solve the problem that the single experimental measurement method proposed in the above background technology is often affected by factors such as changes in the external environment, equipment accuracy limitations and data processing methods, resulting in a certain impact on the accuracy of the measurement results.

[0005] To achieve the above objectives, this application provides the following technical solutions:

[0006] An experimental measurement method for simultaneous measurement of dynamic caustics and DIC, characterized by the following specific steps:

[0007] S1, data acquisition and preprocessing, start the dynamic caustics system and DIC system, start data acquisition, and perform preliminary preprocessing on the collected data;

[0008] S2. First data calculation and analysis: perform the first calculation and analysis on the initially collected dynamic caustics data and DIC speckle pattern data;

[0009] S3, the second data calculation and analysis, based on the results of the first calculation, further analysis and refinement of the data, combined with the synchronous data of the dynamic caustics and DIC system, to perform a more accurate analysis;

[0010] S4. The third data calculation and analysis: Based on the second calculation and analysis, further optimize the data processing and analysis. By integrating and comparing the dynamic caustics and DIC system data, a consistent and highly reliable experimental result is obtained.

[0011] S5. Feedback to the terminal: the final calculation results and analysis data are fed back to the terminal system or operating platform for user viewing.

[0012] Preferably, in step S1, multifunctional detection software and a sensor group are deployed to collect data during the operation of the DIC system, including laser output power, image resolution of the speckle pattern, camera exposure time, camera sampling rate, lens focal length, lens angle, speckle particle size, camera sensor temperature, object surface temperature, time synchronization signal, laser beam diameter, and laser beam expansion ratio;

[0013] In step S1, the collected data is preprocessed and dimensionless, and reorganized into a first data group and a second data group;

[0014] The first data set includes laser output power A, camera exposure time B, camera sampling rate C, camera sensor temperature D, object surface temperature E, lens focal length F, lens angle G, and time synchronization signal H;

[0015] The second data set includes the image resolution I of the speckle pattern, the speckle particle size J, the laser beam diameter K, and the laser beam expansion ratio L.

[0016] Preferably, in step S2, the data in the first data group and the second data group are integrated, wherein the ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration, the ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern, the ratio of the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam on the object surface, the ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the influence of environmental conditions on the sampling accuracy, and the lens angle affects the field of view and image distortion and directly affects the angular accuracy of image acquisition. The above ratios are weighted and overall coupled to obtain a preliminary analysis coefficient CBC.

[0017] The specific calculation formula is as follows:

[0018]

[0019] Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, a1, a2, a3, a4, and a5 are weight values, and the values of a1, a2, a3, a4, and a5 are adjusted by the user.

[0020] Preferably, in step S2, the specific analysis method of the preliminary analysis coefficient CBC is as follows:

[0021] S2.1. Perform an error correction on the preliminary analysis coefficient CBC to obtain the corrected preliminary analysis coefficient XCBC. The specific calculation method is as follows:

[0022] XCBC=CBC×(1+X);

[0023] Where: CBC is the preliminary analysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions;

[0024] S2.2. Compare the obtained corrected preliminary analysis coefficient XCBC with the standard value Y. Based on the comparison results, determine whether a secondary correction is required. The specific method is as follows:

[0025] When XCBC≤Y, it means that the current parameters do not need to be corrected again and the adjustment has been completed;

[0026] When XCBC>Y, it means that the current parameters need to be corrected twice;

[0027] S2.3. Perform a second error correction on the corrected preliminary analysis coefficient XCBC to obtain the re-corrected preliminary analysis coefficient ZCBC. The specific calculation formula is as follows:

[0028] XCBC=CBC+(XCBC-CBC) 2 ;

[0029] Where: CBC is the preliminary analysis coefficient, XCBC is the modified preliminary analysis coefficient;

[0030] S2.4. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows:

[0031] When XCBC≤Y, it means that the current parameters do not need to be reanalyzed and the adjustment has been completed;

[0032] When XCBC>Y, it means that the current parameters need to be reanalyzed.

[0033] Preferably, in step S3, by integrating the data in the first data group and the second data group, the ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration, the ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern, the ratio of the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam on the object surface, the ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the influence of environmental conditions on the sampling accuracy, the lens angle affects the field of view and image distortion and directly affects the angular accuracy of image acquisition, and the ratio of the lens angle to the time synchronization signal reflects the influence of the lens angle on the synchronization signal accuracy. The above ratios are weighted and coupled to obtain the reanalysis coefficient ZFX.

[0034] The specific calculation formula is as follows:

[0035]

[0036] Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, b1, b2, b3, b4 and b5 are weight values, and the values of b1, b2, b3, b4 and b5 are adjusted by the user.

[0037] Preferably, in step S3, the specific steps of reanalysis are as follows:

[0038] S3.1. Perform an error correction on the reanalysis coefficient ZFX to obtain the corrected reanalysis coefficient XZFX. The specific calculation method is as follows:

[0039] XZFX=ZFX×(1+X);

[0040] Where: ZFX is the reanalysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions;

[0041] S3.2. Compare the obtained corrected reanalysis coefficient XZFX with the standard value R. Based on the comparison result, determine whether a second correction is required. The specific method is as follows:

[0042] When XCBC≤R, it means that the current parameters do not need to be corrected again and the adjustment has been completed;

[0043] When XCBC>R, it means that the current parameters need to be corrected twice;

[0044] S3.3. Perform a second error correction on the corrected reanalysis coefficient XZFX to obtain the corrected reanalysis coefficient ZZFX. The specific calculation formula is as follows:

[0045] XZFX=ZFX+(XZFX-ZFX) 2 ;

[0046] Where: ZFX is the reanalysis coefficient, XZFX is the modified reanalysis coefficient;

[0047] S3.4. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows:

[0048] When XZFX≤R, it means that the current parameters do not need to be reanalyzed and the adjustment has been completed;

[0049] When XZFX>R, it means that the current parameters need to be reanalyzed.

[0050] Preferably, in step S4, by integrating the data in the first data group and the second data group, taking into account the output power and exposure time of the laser, combined with the influence of the camera sensor temperature and the object surface temperature on the final result, by adding the ratio of the camera sampling rate to the lens focal length, the relationship between the focal length and the sampling rate is reflected; the ratio of the product of the lens angle and the time synchronization signal to the image resolution reflects how the lens angle and the synchronization signal affect image acquisition at different resolutions; the ratio of the product of the speckle particle size and the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam size and the beam expansion ratio on the speckle particles, and the final analysis coefficient ZFC is obtained by weighted calculation of the above ratios;

[0051] The specific formula is as follows:

[0052]

[0053] Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, c1, c2, c3, c4 and c5 are weight values, and the values of c1, c2, c3, c4 and c5 are adjusted by the user.

[0054] Preferably, in step S4, the ZFC method for the final analysis coefficient is as follows:

[0055] S4.1. Compare the final analysis coefficient ZFC with the standard value S. Based on the comparison results, determine whether the final analysis coefficient ZFC has a fluctuation error;

[0056] When XCBC ≤ S, it means that there is no fluctuation error in the current parameter and the adjustment has been completed;

[0057] When XCBC > S, it means that there is a fluctuation error in the current parameter and correction is required;

[0058] S4.2. Perform an error correction on the final analysis coefficient ZFC to obtain the corrected final analysis coefficient XZFC. The specific calculation method is as follows:

[0059] XZFC = ZFX × (1 + X);

[0060] Where: ZFX is the final analysis coefficient, and X is the error coefficient, which is obtained by the laboratory according to the experimental conditions for adjustment;

[0061] S4.2. Compare the obtained corrected final analysis coefficient XZFC with the standard value S. According to the comparison result, determine whether to correct the error. The specific method is as follows:

[0062] When XZFC < S, it means that the current parameter has been corrected for error and the adjustment is completed;

[0063] When XZFC = S, it means that the current parameter has been corrected for error, but calibration is still required;

[0064] When XZFC > S, it means that the error of the current parameter cannot be repaired and needs to be obtained again.

[0065] Preferably, in step S4, the second analysis method is as follows;

[0066] S4.2.1. Perform a second error correction on the corrected final analysis coefficient XZFC to obtain the re-corrected and re-analyzed coefficient ZZFC. The specific calculation formula is as follows:

[0067] XZFC = ZFC + (XZFC - ZFC) 2 ;

[0068] Where: ZFC is the final analysis coefficient, and XZFX is the corrected final analysis coefficient;

[0069] S4.2.2. Compare the re-corrected preliminary analysis coefficient ZCBC with the standard value Y. According to the comparison result, determine whether to enter the re-analysis step. The specific method is as follows: [[ID=第44]]

[0070] When ZZFX ≤ R, it means that the current parameter has been calibrated and can be used;

[0071] When XZFX > R, it means that the error of the current parameter cannot be calibrated and needs to be obtained again.

[0072] Compared with the prior art, the beneficial effects of the present invention are: It should be noted that there is a misspelling in "[[ID=第44]]", which should probably be corrected to the correct ID number in the original text. Also, the "XZFX" in the formula in step S4.2.1 might be a miswriting, it should be "XZFC" as in the previous context.

[0073] 1. Compared with existing traditional measurement technologies, this method of simultaneous measurement of dynamic caustics and DIC has brought significant improvements. In traditional measurements, a single experimental method often has a large error range and it is difficult to meet the requirements of high precision and high reliability. By introducing the data fusion of the two systems, this method effectively makes up for the shortcomings of a single measurement technology and provides more accurate and reliable experimental data. The repeated calculation and detailed analysis of each step greatly optimize the final measurement results, especially in the measurement of object deformation, which can better capture subtle changes and reduce the influence of external interference. This new experimental measurement method not only improves the accuracy of experimental results, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of modern experimental technology.

[0074] 2. Multiple Error Correction and Intelligent Judgment Mechanism: In step S4.2, the corrected ZFC is compared with the standard value to determine whether further correction or calibration is necessary. This step not only ensures high accuracy during error correction, but also, through a meticulous error correction strategy, further refines the data and reduces the impact of errors on experimental results. This multiple correction mechanism ensures that the final experimental data meets the required accuracy, making it particularly suitable for complex experiments requiring high-precision measurements. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 This is a step diagram of the application method.

[0076] Figure 2 This is the layout diagram of the experimental equipment for this application.

[0077] Figure 3 Schematic diagram of the inclination angle change of the experimental equipment in this application.

[0078] Figure 4 This is a comparison chart of experimental imaging for this application. DETAILED DESCRIPTION

[0079] The technical solutions 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 making creative work are within the scope of protection of this application.

[0080] The terms "first", "second" and "third" in this application are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features specified as "first", "second" and "third" may explicitly or implicitly include at least one of the features. In the description of this application, "plurality" means at least two, for example, two, three, etc. Unless otherwise clearly and specifically defined, all directional indications in the embodiments of this application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement, etc. between the components in a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0081] Reference to "embodiment" in this document means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0082] Example 1: Please refer to Figure 1-4 , an experimental measurement method for simultaneous measurement of dynamic caustics and DIC, the specific steps are as follows:

[0083] S1, data acquisition and preprocessing, start the dynamic caustics system and DIC system, start data acquisition, and perform preliminary preprocessing on the collected data;

[0084] S2. First data calculation and analysis: perform the first calculation and analysis on the initially collected dynamic caustics data and DIC speckle pattern data;

[0085] S3, the second data calculation and analysis, based on the results of the first calculation, further analysis and refinement of the data, combined with the synchronous data of the dynamic caustics and DIC system, to perform a more accurate analysis;

[0086] S4. The third data calculation and analysis: Based on the second calculation and analysis, further optimize the data processing and analysis. By integrating and comparing the dynamic caustics and DIC system data, a consistent and highly reliable experimental result is obtained.

[0087] S5. Feedback to the terminal: the final calculation results and analysis data are fed back to the terminal system or operating platform for user viewing.

[0088] In this embodiment, data acquisition and preprocessing in step S1 are fundamental to ensuring the accuracy and reliability of the entire measurement process. The dynamic caustics system and the DIC system are activated to record the object's transmitted light information and the spray pattern, respectively. This data serves as the basis for subsequent analysis. After data acquisition, preliminary preprocessing, such as denoising and correction, is performed to eliminate the effects of external interference on the experimental results and ensure data quality. This process ensures the integrity and accuracy of the collected data, avoids measurement deviations caused by experimental environment or equipment errors, and lays a solid foundation for subsequent data analysis.

[0089] Step S2, after preliminary data collection, involves the initial data calculation and analysis, a crucial step in the entire experimental process. During this stage, the transmitted light data acquired by the dynamic caustics system reveals changes in the object's transparency, while the spray pattern captured by the DIC system helps analyze surface deformation. By calculating and analyzing these preliminary data, preliminary measurement results can be obtained, which can be used to verify initial hypotheses or evaluate the effectiveness of the experiment. This step provides valuable data support for subsequent improvements and adjustments, ensuring that the experimental process moves towards greater precision.

[0090] Step S3, the second data calculation and analysis, is a refined processing stage based on the first calculation. By combining data collected simultaneously by the dynamic caustics and DIC systems, the accuracy of the analysis is further improved. This stage involves detailed steps such as optical comparison and error correction to ensure the accuracy and reliability of the results. This process helps identify and correct errors that may have occurred in the previous analysis, thereby providing more accurate data on object deformation and transparency changes. This step not only improves data reliability but also makes the experimental results more consistent with actual physical phenomena, enhancing the scientific nature and credibility of the experiment.

[0091] Step S4, the third round of data calculation and analysis, further optimizes and refines the previous work. This stage may involve more complex algorithms and refined models to further improve measurement accuracy. By deeply integrating dynamic caustics and DIC system data and comprehensively considering various factors, consistent and highly reliable final experimental results are achieved. The core goal of this process is to eliminate potential sources of error and ensure the high accuracy of the final result through multiple iterative calculations. The final precise measurement results provide users with a scientific basis and further enhance the repeatability and reliability of experimental measurements.

[0092] Step S5, the final step of the experiment, is to feed the calculation results and analysis data back to the terminal system or operating platform. At this point, after multiple calculations and analysis verifications, the experimental results have achieved a high degree of reliability and accuracy. The feedback results are presented through a visual interface, allowing users to intuitively review the experimental data and make further decisions or experimental adjustments. This stage allows users to obtain experimental results in real time and use them to make subsequent optimizations and decisions, greatly improving the flexibility and efficiency of the experiment.

[0093] Compared with existing traditional measurement technologies, this method of simultaneous measurement of dynamic caustics and DIC has brought significant improvements. In traditional measurements, a single experimental method often has a large error range and it is difficult to meet the requirements of high precision and high reliability. By introducing the data fusion of the two systems, this method effectively makes up for the shortcomings of a single measurement technology and provides more accurate and reliable experimental data. The repeated calculation and detailed analysis of each step greatly optimize the final measurement results, especially in the measurement of object deformation, which can better capture subtle changes and reduce the influence of external interference. This new experimental measurement method not only improves the accuracy of experimental results, but also enhances the controllability and flexibility of the measurement process, significantly improves the accuracy of mechanical properties and deformation analysis, and promotes the development of modern experimental technology.

[0094] An experimental method for simultaneous measurement of dynamic caustics and DIC, see Figure 2 , assemble the entire set of experimental measurement equipment in sequence, among which, the laser 1 is used to provide a transmitted light source, the laser beam expander 2 expands the range of the transmitted light source emitted by the laser, and the convex lens 3 makes the near focus and the far focus of the convex lens within a suitable distance range, so that obvious image position changes can be observed; the loading system 4 is a dynamic loading system for blasting loads, which loads the object to be measured in the system and applies the blasting load, as well as performs a new type of spraying operation; the convex lens 5 makes the imaging of the high-speed camera more complete, the dynamic focus high-speed camera 6 records the destruction process of the object to be measured in real time, the DIC bias lens 7 records the speckle process of the object to be measured, and the computer 8 collects relevant experimental data to facilitate the later processing of experimental data and the derivation of conclusions.

[0095] See also Figure 3 and Figure 4 , a new DIC spot spraying technology is introduced into the experimental measurement method. Referring to the concept of ultra-fine shutter optical technology, the object to be measured at which the dynamic focus high-speed camera is aimed horizontally is in a transparent state. The DIC lens is placed at a 45° angle to the object to be measured, and this offset lens is used to observe the speckle effect of the object to be measured. The object to which the DIC lens is aimed at in the 45° offset direction is the opaque spot spraying effect area.

[0096] Example 2: Please refer to Figure 1, an experimental measurement method for simultaneous measurement of dynamic caustics and DIC, in step S1, by deploying multifunctional detection software and a sensor group, collecting data during the operation of the DIC system, including laser output power, image resolution of the speckle pattern, camera exposure time, camera sampling rate, lens focal length, lens angle, speckle particle size, camera sensor temperature, object surface temperature, time synchronization signal, laser beam diameter, and laser beam expansion ratio;

[0097] In step S1, the collected data is preprocessed and dimensionless, and reorganized into a first data group and a second data group;

[0098] The first data set includes laser output power A, camera exposure time B, camera sampling rate C, camera sensor temperature D, object surface temperature E, lens focal length F, lens angle G, and time synchronization signal H;

[0099] The second data set includes the image resolution I of the speckle pattern, the speckle particle size J, the laser beam diameter K, and the laser beam expansion ratio L.

[0100] In this embodiment, by deploying multifunctional detection software and a sensor suite, step S1 comprehensively collects various data during the DIC system's operation, covering key parameters such as laser output power, speckle pattern image resolution, camera exposure time, camera sampling rate, lens focal length, lens angle, speckle particle size, camera sensor temperature, object surface temperature, time synchronization signal, laser beam diameter, and laser beam expansion ratio. This improvement not only enables multi-angle and multi-dimensional data acquisition, ensuring the comprehensiveness and diversity of experimental data, but also accurately reflects the impact of different experimental environments and equipment settings on measurement results, providing a richer data foundation for subsequent analysis.

[0101] Furthermore, preprocessing and dimensionless processing of the collected data ensures uniformity and comparability, effectively avoiding errors caused by inconsistent units or differences in data magnitude. This improvement, by organizing the data into primary and secondary data groups, allows each data set to more effectively reflect its actual role and contribution in the experiment, optimizing the accuracy and reliability of data analysis.

[0102] Compared to traditional experimental methods, this multi-parameter, multi-data source acquisition and processing approach not only improves data accuracy and diversity, but also facilitates a comprehensive understanding of the specific impact of each parameter during the experiment, avoiding the limitations and errors associated with a single data source. This comprehensive measurement approach better captures the true deformation behavior of objects under external forces, effectively improving the reliability of experimental data analysis results and providing a more accurate reference for subsequent experiments.

[0103] Example 3: Please refer to Figure 1 In step S2, the data in the first data group and the second data group are integrated. The ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration. The ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern. The ratio of the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam on the object surface. The ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the influence of environmental conditions on the sampling accuracy. The lens angle affects the field of view and image distortion and directly affects the angular accuracy of image acquisition. The above ratios are weighted and coupled to obtain a preliminary analysis coefficient CBC.

[0104] The specific calculation formula is as follows:

[0105]

[0106] Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, a1, a2, a3, a4, and a5 are weight values, and the values of a1, a2, a3, a4, and a5 are adjusted by the user.

[0107] In this embodiment, by integrating the data from the first and second data sets in step S2, the experimental method is optimized in multiple dimensions, making the measurement process more accurate and comprehensive. Specifically, by calculating the ratio of the product of the laser output power and the camera exposure time to the lens focal length, the ratio of the image resolution to the speckle particle size, the ratio of the laser beam diameter to the beam expansion ratio, and the ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature, the impact of various parameters on the experimental results can be accurately quantified. This process not only ensures a close correlation between the various data sets but also reflects the actual impact of environmental conditions and equipment configuration on deformation measurement.

[0108] These key ratios are coupled and calculated using a weighted approach to generate the preliminary analysis coefficients (CBCs), effectively incorporating the interactions between the various parameters. This approach allows the experiment to adaptively adjust the weighting coefficients under varying conditions, ensuring accurate and representative measurement results across a wide range of experimental environments. Compared to traditional single-measurement methods, this multi-dimensional, weighted coupled calculation approach significantly improves the comprehensiveness and accuracy of experimental data and is more adaptable to complex experimental environments and equipment configurations.

[0109] Furthermore, by introducing user-adjustable weight coefficients, this method enables the system to be flexibly optimized and adjusted based on actual experimental needs, further improving the operability and adaptability of the experiment. This improvement not only enhances data accuracy but also ensures the reliability of the measurement process, ultimately providing higher-quality data support for deformation measurement and mechanical property analysis, greatly enhancing the repeatability and scientific nature of experimental results.

[0110] Example 4: Please refer to Figure 1 In step S2, the specific analysis method of the preliminary analysis coefficient CBC is as follows:

[0111] S2.1. Perform an error correction on the preliminary analysis coefficient CBC to obtain the corrected preliminary analysis coefficient XCBC. The specific calculation method is as follows:

[0112] XCBC=CBC×(1+X);

[0113] Where: CBC is the preliminary analysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions;

[0114] S2.2. Compare the obtained corrected preliminary analysis coefficient XCBC with the standard value Y. Based on the comparison results, determine whether a secondary correction is required. The specific method is as follows:

[0115] When XCBC≤Y, it means that the current parameters do not need to be corrected again and the adjustment has been completed;

[0116] When XCBC>Y, it means that the current parameters need to be corrected twice;

[0117] S2.3. Perform a second error correction on the corrected preliminary analysis coefficient XCBC to obtain the re-corrected preliminary analysis coefficient ZCBC. The specific calculation formula is as follows:

[0118] XCBC=CBC+(XCBC-CBC) 2 ;

[0119] Where: CBC is the preliminary analysis coefficient, XCBC is the modified preliminary analysis coefficient;

[0120] S2.4. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows:

[0121] When XCBC≤Y, it means that the current parameters do not need to be reanalyzed and the adjustment has been completed;

[0122] When XCBC>Y, it means that the current parameters need to be reanalyzed.

[0123] In this embodiment, the error correction process for the preliminary analysis coefficient CBC in step S2 demonstrates significant technical improvements, particularly in improving the accuracy and reliability of experimental results. First, the error correction mechanism (S2.1) introduces corrections to the preliminary analysis coefficient CBC, enabling adaptive adjustment of experimental results based on the actual environment and experimental conditions. By introducing the error coefficient X, the system dynamically corrects errors during the experiment, ensuring that the measurement results are closer to the true value. This correction process not only increases the accuracy of the experimental results but also addresses errors under different experimental conditions, greatly improving the adaptability of the experiment.

[0124] Secondly, during the secondary correction judgment mechanism and second error correction, the experimental system further optimizes the data processing process by comparing the corrected analysis coefficient with the standard value Y. When the corrected initial analysis coefficient XCBC is compared with the standard value Y, the system automatically determines whether a secondary correction is necessary, avoiding unnecessary repetitive operations and ensuring the efficiency of the analysis process. If the corrected result still does not meet the standard requirements, the system automatically performs a second error correction, further improving measurement accuracy.

[0125] This gradual correction and comparison mechanism not only identifies and corrects potential errors in the initial analysis but also allows for flexible adjustments based on real-time feedback, ensuring the reliability and accuracy of the final analysis results. Through this multi-stage correction process, experiments can effectively avoid the influence of a single error source on the results, ultimately producing more accurate and reliable measurement data. Compared to traditional measurement methods, this technology significantly improves error control capabilities during the experimental process, enabling the acquisition of stable and highly accurate experimental data even in complex or highly variable experimental environments.

[0126] Furthermore, the system's reanalysis step determination mechanism ensures that reanalysis is initiated only when necessary, avoiding unnecessary recalculation and data processing, improving experimental efficiency and operational convenience. This flexible, adaptive analysis approach allows the experimental system to dynamically adjust and make timely corrections based on actual measurement results, providing more reliable data support for subsequent decision-making and experimental adjustments.

[0127] Example 5: Please refer to Figure 1In step S3, by integrating the data in the first data group and the second data group, the ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration. The ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern. The ratio of the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam on the object surface. The ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the influence of environmental conditions on the sampling accuracy. The lens angle affects the field of view and image distortion and directly affects the angular accuracy of image acquisition. The ratio of the lens angle to the time synchronization signal reflects the influence of the lens angle on the synchronization signal accuracy. The above ratios are weighted and coupled to obtain the reanalysis coefficient ZFX.

[0128] The specific calculation formula is as follows:

[0129]

[0130] Where A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, b1, b2, b3, b4, and b5 are weight values, and the values of b1, b2, b3, b4, and b5 are adjusted by the user.

[0131] In this embodiment, in step S3, the data from the first and second data sets are integrated, and a weighted approach is used to couple the key ratios to obtain the reanalysis coefficient ZFX. This method significantly improves both the technology and experimental performance. Specifically, by comprehensively calculating the proportional relationships between multiple parameters, it comprehensively measures the combined effects of multiple factors on the experimental results, including laser and camera configuration, image resolution, speckle particle size, laser beam effects, camera sampling rate, environmental conditions, and lens angle. Compared to traditional measurement methods, this multi-dimensional, weighted calculation approach more accurately quantifies the impact of various factors on object deformation and mechanical property analysis.

[0132] First, the weighted coupling calculation method considers the importance of each parameter when integrating different data, and flexibly adjusts these parameters through user-adjustable weight coefficients, allowing the system to adapt to changing experimental conditions. This flexibility ensures that the system can optimize the contribution of each factor according to actual needs, thereby improving the accuracy and reliability of experiments.

[0133] Specifically, the ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration, ensuring that the effect of laser irradiation matches the quality of image acquisition; the ratio of image resolution to speckle particle size reflects the fineness of the speckle pattern, which helps to further improve the accuracy of object deformation measurement; the ratio of laser beam diameter to beam expansion ratio can reflect the impact of the laser beam on the surface of the object, thereby helping to control the uniform irradiation of the light source on the surface of the object; the ratio of camera sampling rate to camera sensor temperature and object surface temperature reflects the impact of environmental conditions on sampling accuracy, ensuring the stability of measurement results under different environments; the ratio of lens angle to time synchronization signal can reflect the impact of lens angle on the accuracy of synchronization signal, which directly affects the accurate acquisition of images and subsequent data processing.

[0134] By weighting these key ratios, the ZFX coefficients can more comprehensively and accurately reflect the interaction of various physical factors in the experiment and ensure the consistency between the measurement results and the experimental environment and settings. By adjusting the weight coefficients, users can flexibly optimize the analysis results according to specific experimental conditions, thereby improving the controllability and adaptability of the experimental process and ensuring that reliable measurement data can be obtained under complex conditions.

[0135] Example 6: Please refer to Figure 1 , in step S3, the specific steps of further analysis are as follows:

[0136] S3.1. Perform an error correction on the reanalysis coefficient ZFX to obtain the corrected reanalysis coefficient XZFX. The specific calculation method is as follows:

[0137] XZFX=ZFX×(1+X);

[0138] Where: ZFX is the reanalysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions;

[0139] S3.2. Compare the obtained corrected reanalysis coefficient XZFX with the standard value R. Based on the comparison result, determine whether a second correction is required. The specific method is as follows:

[0140] When XCBC≤R, it means that the current parameters do not need to be corrected again and the adjustment has been completed;

[0141] When XCBC>R, it means that the current parameters need to be corrected twice;

[0142] S3.3. Perform a second error correction on the corrected reanalysis coefficient XZFX to obtain the corrected reanalysis coefficient ZZFX. The specific calculation formula is as follows:

[0143] XZFX=ZFX+(XZFX-ZFX) 2 ;

[0144] Where: ZFX is the reanalysis coefficient, XZFX is the modified reanalysis coefficient;

[0145] S3.4. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows:

[0146] When XZFX≤R, it means that the current parameters do not need to be reanalyzed and the adjustment has been completed;

[0147] When XZFX>R, it means that the current parameters need to be reanalyzed.

[0148] In this embodiment, multiple error corrections are performed on the reanalysis coefficients ZFX in step S3, significantly improving the accuracy and reliability of the experimental data. This method ensures the accuracy of the final experimental results by gradually correcting and comparing the errors in each calculation step, offering significant technical improvements and advantages.

[0149] First, within the error correction mechanism, the system eliminates bias introduced by experimental environment variations or measurement equipment errors by modifying the reanalysis coefficient ZFX. The introduced error coefficient X can be adjusted based on actual experimental conditions, ensuring that data processing is more realistic. This flexible error correction approach allows for adaptive adjustment of measurement results across different experimental environments, enhancing the system's accuracy and adaptability.

[0150] Secondly, during the secondary correction judgment mechanism and the second error correction, the corrected reanalysis coefficient XZF is compared with the standard value to automatically determine whether a secondary correction is necessary. If the corrected coefficient still does not meet the standard, the system will make further corrections, using the squared error formula to minimize the error. This process avoids unnecessary recalculation and ensures that each correction step effectively improves the experimental results.

[0151] This gradual correction and judgment mechanism significantly reduces the impact of errors on experimental results, not only improving measurement accuracy but also ensuring that, after multiple corrections, the final experimental data is closer to the true value. Compared with traditional single calculation methods, gradual correction and comparison with standard values significantly enhances the reliability and consistency of experimental data, providing more robust technical support for complex experiments.

[0152] Furthermore, a reanalysis step judgment mechanism ensures that reanalysis steps are only initiated when necessary, avoiding unnecessary reprocessing and thus improving experimental efficiency. Through this mechanism, the system can intelligently determine which data requires further analysis and which data is sufficiently accurate, further optimizing the experimental process and improving experimental efficiency.

[0153] Example 7: Please refer to Figure 1 In step S4, the data in the first data group and the second data group are integrated, the output power and exposure time of the laser are considered, and the influence of the camera sensor temperature and the object surface temperature on the final result is combined. The relationship between the focal length and the sampling rate is reflected by adding the ratio of the camera sampling rate to the lens focal length. The ratio of the product of the lens angle and the time synchronization signal to the image resolution reflects how the lens angle and the synchronization signal affect image acquisition at different resolutions. The ratio of the product of the speckle particle size and the laser beam diameter to the beam expansion ratio reflects the influence of the laser beam size and the beam expansion ratio on the speckle particles. The final analysis coefficient ZFC is obtained by weighted calculation of the above ratios.

[0154] The specific formula is as follows:

[0155]

[0156] Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, c1, c2, c3, c4, and c5 are weight values, and the values of c1, c2, c3, c4, and c5 are adjusted by the user.

[0157] In step S4, the ZFC method for the final analysis coefficient is as follows;

[0158] S4.1. Compare the final analysis coefficient ZFC with the standard value S. Based on the comparison results, determine whether the final analysis coefficient ZFC has a fluctuation error;

[0159] When XCBC≤S, it means that the current parameters have no fluctuation error and the adjustment has been completed;

[0160] When XCBC>S, it means that the current parameters have fluctuation errors and need to be corrected;

[0161] S4.2. Perform an error correction on the final analysis coefficient ZFC to obtain the corrected final analysis coefficient XZFC. The specific calculation method is as follows:

[0162] XZFC=ZFX×(1+X);

[0163] Where: ZFX is the final analysis coefficient, X is the error coefficient, which is obtained by the laboratory according to the experimental conditions;

[0164] S4.2. Compare the obtained corrected final analysis coefficient XZFC with the standard value S. Based on the comparison result, determine whether to correct the error. The specific method is as follows:

[0165] When XZFC < S, it means that the current parameter has corrected the error and the adjustment is completed;

[0166] When XZFC = S, it means that the current parameter has corrected the error, but calibration is still required;

[0167] When XZFC > S, it means that the error of the current parameter cannot be repaired and needs to be obtained again.

[0168] In step S4, the second analysis method is as follows;

[0169] S4.2.1. Perform a second error correction on the corrected final analysis coefficient XZFC to obtain the re-corrected and re-analyzed coefficient ZZFC. The specific calculation formula is as follows:

[0170] XZFC = ZFC + (XZFC - ZFC) 2 ;

[0171] In the formula: ZFC is the final analysis coefficient, and XZFX is the corrected final analysis coefficient;

[0172] S4.2.2. Compare the re-corrected preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison result, determine whether to enter the re-analysis step. The specific method is as follows:

[0173] When ZZFX ≤ R, it means that the current parameter has been calibrated and can be used;

[0174] When XZFX > R, it means that the error of the current parameter cannot be calibrated and needs to be obtained again.

[0175] In this embodiment: First, considering the relationship between the output power of the laser and the exposure time, and the relationship between the camera sensor temperature and the object surface temperature, the influence of optical settings and environmental factors on the experimental results can be effectively quantified. Second, adding the ratio of the camera sampling rate to the lens focal length to the calculation reflects the relationship between the focal length and the sampling rate, helping to better control the imaging accuracy in the experiment. At the same time, the ratio of the product of the lens angle and the time synchronization signal to the image resolution ensures the cooperation accuracy between the lens angle and the synchronization signal at different resolutions. By performing weighted calculations on these ratios, the finally obtained ZFC coefficient can fully combine various factors and improve the accuracy of the overall data.

[0176] Dynamic Adjustment and Optimization of Experimental Results: During the ZFC error correction process, the system compares the ZFC to the standard value S to determine whether fluctuation errors exist and, therefore, whether correction is necessary. This mechanism allows for automatic adjustment of experiments under varying conditions, reducing errors introduced by environmental changes or improper experimental setup, and ensuring data stability and reliability. By correcting the ZFC, the system can flexibly adapt to different experimental scenarios, enhancing the flexibility and adaptability of the experimental process.

[0177] Multiple Error Correction and Intelligent Decision Mechanism: In step S4.2, the corrected ZFC is compared with the standard value to determine whether further correction or calibration is necessary. This step not only ensures high accuracy during error correction, but also, through a meticulous error correction strategy, further refines the data and reduces the impact of errors on experimental results. This multiple correction mechanism ensures that the final experimental data meets the required accuracy, making it particularly suitable for complex experiments requiring high-precision measurements.

[0178] Improve experimental accuracy and the reliability of experimental results: Through the re-correction mechanism, when the system determines that an error cannot be corrected, it can automatically enter the reanalysis step to re-acquire the data, effectively avoiding inaccurate results caused by uncorrectable errors. This mechanism not only optimizes the reliability of experimental data, but also ensures the efficiency and accuracy of the data processing process, avoiding ineffective experimental repetitions and redundant operations.

[0179] In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated units may be implemented in the form of hardware or in the form of software functional units. The above are only implementation methods of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the description and drawings of this application, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of this application.

[0180] The above describes in detail the specific embodiments of the invention, but it is only an example. The present application is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions of the invention are also within the scope of the present application. Therefore, equivalent changes, modifications, improvements, etc. made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. An experimental measurement method for simultaneous measurement of dynamic caustics and DIC, characterized by: The specific steps are as follows: S1, data acquisition and preprocessing, start the dynamic caustics system and DIC system, start data acquisition, and perform preliminary preprocessing on the collected data; S2. First data calculation and analysis: perform the first calculation and analysis on the initially collected dynamic caustics data and DIC speckle pattern data; S3, the second data calculation and analysis, based on the results of the first calculation, further analysis and refinement of the data, combined with the synchronous data of the dynamic caustics and DIC system, to perform a more accurate analysis; S4. The third data calculation and analysis: Based on the second calculation and analysis, further optimize the data processing and analysis. By integrating and comparing the dynamic caustics and DIC system data, a consistent and highly reliable experimental result is obtained. S5. Feedback to the terminal: the final calculation results and analysis data are fed back to the terminal system or operating platform for user viewing.

2. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 1, characterized in that: In step S1, by deploying multifunctional detection software and sensor groups, data during the operation of the DIC system is collected, including laser output power, image resolution of the speckle pattern, camera exposure time, camera sampling rate, lens focal length, lens angle, speckle particle size, camera sensor temperature, object surface temperature, time synchronization signal, laser beam diameter, and laser beam expansion ratio; In step S1, the collected data is preprocessed and dimensionless, and reorganized into a first data group and a second data group; The first data set includes laser output power A, camera exposure time B, camera sampling rate C, camera sensor temperature D, object surface temperature E, lens focal length F, lens angle G, and time synchronization signal H; The second data set includes the image resolution I of the speckle pattern, the speckle particle size J, the laser beam diameter K, and the laser beam expansion ratio L.

3. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 2, characterized in that: In step S2, the data in the first data group and the second data group are integrated. The ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration. The ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern. The ratio of the laser beam diameter to the beam expansion ratio reflects the impact of the laser beam on the object surface. The ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the impact of environmental conditions on the sampling accuracy. The lens angle affects the field of view and image distortion and directly affects the angular accuracy of image acquisition. The above ratios are then weighted and coupled to obtain a preliminary analysis coefficient CBC. The specific calculation formula is as follows: Where: A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, a1, a2, a3, a4, and a5 are weight values, and the values of a1, a2, a3, a4, and a5 are adjusted by the user.

4. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 3, characterized in that: In step S2, the specific analysis method for the preliminary analysis coefficient CBC is as follows: S2.

1. Perform an error correction on the preliminary analysis coefficient CBC to obtain the corrected preliminary analysis coefficient XCBC. The specific calculation method is as follows: XCBC=CBC×(1+X); Where: CBC is the preliminary analysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions; S2.

2. Compare the obtained corrected preliminary analysis coefficient XCBC with the standard value Y. Based on the comparison results, determine whether a secondary correction is required. The specific method is as follows: When XCBC≤Y, it means that the current parameters do not need to be corrected again and the adjustment has been completed; When XCBC>Y, it means that the current parameters need to be corrected twice; S2.

3. Perform a second error correction on the corrected preliminary analysis coefficient XCBC to obtain the re-corrected preliminary analysis coefficient ZCBC. The specific calculation formula is as follows: XCBC=CBC+(XCBC-CBC) 2 ; Where: CBC is the preliminary analysis coefficient, XCBC is the modified preliminary analysis coefficient; S2.

4. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows: When XCBC≤Y, it means that the current parameters do not need to be reanalyzed and the adjustment has been completed; When XCBC>Y, it means that the current parameters need to be reanalyzed.

5. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 4, characterized in that: In step S3, by integrating the data in the first data group and the second data group, the ratio of the product of the laser output power and the camera exposure time to the lens focal length measures the efficiency of the laser and camera optical configuration, the ratio of the image resolution to the speckle particle size reflects the fineness of the speckle pattern, the ratio of the laser beam diameter to the beam expansion ratio reflects the impact of the laser beam on the object surface, the ratio of the camera sampling rate to the camera sensor temperature and the object surface temperature reflects the impact of environmental conditions on the sampling accuracy, the lens angle affects the field of view and image distortion, and directly affects the angular accuracy of image acquisition, and the ratio of the lens angle to the time synchronization signal reflects the impact of the lens angle on the synchronization signal accuracy. The above ratios are then weighted and coupled to obtain the reanalysis coefficient ZFX. The specific calculation formula is as follows: Where A is the laser output power, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, b1, b2, b3, b4, and b5 are weight values, and the values of b1, b2, b3, b4, and b5 are adjusted by the user.

6. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 5, characterized in that: In step S3, the specific steps of reanalysis are as follows: S3.

1. Perform an error correction on the reanalysis coefficient ZFX to obtain the corrected reanalysis coefficient XZFX. The specific calculation method is as follows: XZFX=ZFX×(1+X); Where: ZFX is the reanalysis coefficient, X is the error coefficient, which is obtained by the laboratory according to experimental conditions; S3.

2. Compare the obtained corrected reanalysis coefficient XZFX with the standard value R. Based on the comparison result, determine whether a second correction is required. The specific method is as follows: When XCBC ≤ R, it means that the current parameter does not need to be corrected twice and the adjustment has been completed; When XCBC > R, it means that the current parameter needs to be corrected twice; S3.

3. Perform the second error correction on the corrected reanalysis coefficient XZFX to obtain the re-corrected reanalysis coefficient ZZFX. The specific calculation formula is as follows: XZFX=ZFX+(XZFX-ZFX) 2 ; In the formula: ZFX is the reanalysis coefficient, and XZFX is the corrected reanalysis coefficient; S3.

4. Compare the re-corrected preliminary analysis coefficient ZCBC with the standard value Y. According to the comparison result, judge whether it is necessary to enter the reanalysis step. The specific method is as follows: When XZFX ≤ R, it means that the current parameter does not need to enter the reanalysis step and the adjustment has been completed; When XZFX > R, it means that the current parameter needs to enter the reanalysis step.

7. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 6, characterized in that: In step S4, by integrating the data in the first data group and the second data group, considering the influence of the output power and exposure time of the laser, combining the camera sensor temperature and the object surface temperature on the final result, by adding the ratio of the camera sampling rate to the lens focal length, which reflects the relationship between the focal length and the sampling rate, the ratio of the product of the lens angle and the time synchronization signal to the image resolution, which reflects how the lens angle and the synchronization signal affect image acquisition at different resolutions, the ratio of the product of the speckle particle size and the laser beam diameter to the beam expansion ratio, which reflects the influence of the size of the laser beam and the beam expansion ratio on the speckle particles, and by performing weighted calculation on the above ratios to obtain the final analysis coefficient ZFC; The specific formula is as follows: In the formula: A is the output power of the laser, B is the camera exposure time, C is the camera sampling rate, D is the camera sensor temperature, E is the object surface temperature, F is the lens focal length, G is the lens angle, I is the image resolution, J is the speckle particle size, K is the laser beam diameter, L is the laser beam expansion ratio, H is the time synchronization signal, c1, c2, c3, c4, and c5 are weight values, and the values of c1, c2, c3, c4, and c5 are adjusted and set by the user.

8. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 7, characterized in that: In step S4, the method for the final analysis coefficient ZFC is as follows; S4.

1. Compare the final analysis coefficient ZFC with the standard value S. According to the comparison result, judge whether there is a fluctuation error in the final analysis coefficient ZFC; When XCBC ≤ S, it means that the current parameter does not have a fluctuation error and the adjustment has been completed; When XCBC > S, it means that the current parameter has a fluctuation error and needs to be corrected; S4.

2. Perform one error correction on the final analysis coefficient ZFC to obtain the corrected final analysis coefficient XZFC. The specific calculation method is as follows: XZFC = ZFX × (1 + X); In the formula: ZFX is the final analysis coefficient, and X is the error coefficient, which is obtained by the laboratory according to the experimental conditions; S4.

2. Compare the obtained corrected final analysis coefficient XZFC with the standard value S. According to the comparison result, judge whether to correct the error. The specific method is as follows: When XZFC < S, it means that the current parameter has corrected the error and the adjustment is completed; When XZFC = S, it means that the current parameter has corrected the error but still needs to be calibrated; When XZFC > S, it means that the error of the current parameter cannot be repaired and needs to be obtained again.

9. The experimental measurement method for simultaneous measurement of dynamic caustics and DIC according to claim 8, characterized in that: In step S4, the second analysis method is as follows: S4.2.

1. Perform a second error correction on the corrected final analysis coefficient XZFC to obtain the re-corrected reanalysis coefficient ZZFC. The specific calculation formula is as follows: XZFC=ZFC+(XZFC-ZFC) 2 ; Where: ZFC is the final analysis coefficient, XZFX is the modified final analysis coefficient; S4.2.

2. Compare the revised preliminary analysis coefficient ZCBC with the standard value Y. Based on the comparison results, determine whether to proceed to the reanalysis step. The specific method is as follows: When ZZFX≤R, it means that the current parameters have been calibrated and can be used; When XZFX>R, it means that the error of the current parameters cannot be calibrated and needs to be re-acquired.

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