High-precision bridge dynamic weighing test system and method

Abstract

The invention discloses a high-precision bridge dynamic weighing test system and method, and relates to the technical field of bridge engineering, and the method comprises the steps: obtaining first design weight distribution and second design weight distribution; dynamically testing to obtain first test weights of the plurality of first fulcrums and second test weights of the plurality of second fulcrums, and obtaining first test weight distribution and second test weight distribution; generating a second expected weight distribution, and performing fulcrum alignment calculation on the second test weight distribution to obtain an expected weight deviation; carrying out fulcrum alignment calculation to obtain a design weight deviation; and according to the expected weight deviation and the design weight deviation, calculating to obtain the weighing deviation of the swivel structure, and taking the weighing deviation as a weighing test result. The technical problems that in the prior art, the stress state of the bridge swivel structure cannot be accurately evaluated, and the deviation between the actual test weight and the design target and the deviation between the actual test weight and the symmetry expectation cannot be accurately quantified are solved, and the technical effect of accurately evaluating the stress state of the bridge swivel structure is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge engineering, and particularly relates to a high-precision bridge dynamic weighing test system and method. Background Art

[0002] During the existing bridge rotation construction process, in order to ensure the safety and stability of the rotating structure, it is usually necessary to conduct dynamic weighing tests on the stress state of the bridge rotating structure. However, when the existing technology evaluates the stress state of the bridge rotating structure, there is a technical problem that it cannot accurately reflect the deviation between the actual test weight and the design target and the symmetry expectation. Most of the traditional bridge dynamic weighing test methods rely on a single data source or a simplified model, lacking the comprehensive analysis ability of multi-dimensional weight distribution, resulting in poor correlation between the test data and the design theory. In addition, due to the failure to fully consider the symmetry design of the bridge rotating structure and the complexity of its actual stress, when the existing technology compares the test weight distribution with the design weight distribution, problems such as incomplete deviation analysis and insufficient calculation accuracy are likely to occur, making it difficult to meet the accurate evaluation requirements of the stress state of the rotating structure in engineering practice. Summary of the Invention

[0003] This application provides a high-precision bridge dynamic weighing test system and method for solving the technical problem that the existing technology cannot accurately evaluate the stress state of the bridge rotating structure and lacks the accurate quantification of the deviation between the actual test weight and the design target and the symmetry expectation.

[0004] In view of the above problems, this application provides a high-precision bridge dynamic weighing test system and method.

[0005] In the first aspect of this application, a high-precision bridge dynamic weighing test system is provided. The system includes:

[0006] An information acquisition module, which is used to acquire the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge. Wherein, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of a plurality of first fulcrums and the second designed weights of a plurality of second fulcrums; A testing module, which is used to perform trial rotation on the first rotating structure and the second rotating structure, dynamically test to obtain the first test weights of the plurality of first fulcrums and the second test weights of the plurality of second fulcrums, and obtain the first test weight distribution and the second test weight distribution; A first alignment calculation module, which is used to generate a second expected weight distribution according to the first test weight distribution, and perform fulcrum alignment calculation on the second test weight distribution based on the second expected weight distribution to obtain an expected weight deviation; A second alignment calculation module, which is used to perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution respectively based on the first designed weight distribution and the second designed weight distribution to obtain a designed weight deviation; A test result acquisition module, which is used to calculate and obtain the weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation, as the weighing test result.

[0007] In the second aspect of the present application, a high-precision bridge dynamic weighing test method is provided, and the method includes:

[0008] Acquire the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge. Wherein, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of a plurality of first fulcrums and the second designed weights of a plurality of second fulcrums; Perform trial rotation on the first rotating structure and the second rotating structure, dynamically test to obtain the first test weights of the plurality of first fulcrums and the second test weights of the plurality of second fulcrums, and obtain the first test weight distribution and the second test weight distribution; Generate a second expected weight distribution according to the first test weight distribution, and perform fulcrum alignment calculation on the second test weight distribution based on the second expected weight distribution to obtain an expected weight deviation; Perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution respectively based on the first designed weight distribution and the second designed weight distribution to obtain a designed weight deviation; Calculate and obtain the weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation, as the weighing test result.

[0009] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0010] This application obtains the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge. Among them, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of multiple first fulcrums and the second designed weights of multiple second fulcrums; conduct trial rotations on the first rotating structure and the second rotating structure, dynamically test to obtain the first test weights of the multiple first fulcrums and the second test weights of the multiple second fulcrums, and obtain the first test weight distribution and the second test weight distribution; generate a second expected weight distribution according to the first test weight distribution, and based on the second expected weight distribution, perform fulcrum alignment calculation on the second test weight distribution to obtain the expected weight deviation; respectively perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution based on the first designed weight distribution and the second designed weight distribution to obtain the designed weight deviation; calculate and obtain the weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation as the weighing test result. The present invention solves the technical problems that the prior art cannot accurately evaluate the stress state of the bridge rotating structure and lacks precise quantification of the deviation between the actual test weight and the design target and the symmetry expectation. By performing alignment calculations on the designed weight distribution, the test weight distribution, and the expected weight distribution of the bridge rotating structure, and through weighted analysis of the expected weight deviation and the designed weight deviation, the weighing deviation of the rotating structure is calculated to quantify the deviation degree of the test weight from the design target and the symmetry expectation, achieving the technical effect of accurately evaluating the stress state of the bridge rotating structure. Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0012] Figure 1 Structural schematic diagram of a high-precision bridge dynamic weighing test system provided by an embodiment of this application;

[0013] Figure 2 Flow schematic diagram of a high-precision bridge dynamic weighing test method provided by an embodiment of this application.

[0014] Description of the reference numerals: Information acquisition module 11, test module 12, first alignment calculation module 13, second alignment calculation module 14, test result acquisition module 15. Detailed Embodiments

[0015] The present application provides a high-precision bridge dynamic weighing test system and method, aiming to solve the technical problem that the prior art cannot accurately evaluate the stress state of the bridge rotation structure and lacks accurate quantification of the deviation between the actual test weight and the design target and the symmetry expectation. By performing alignment calculations on the designed weight distribution, test weight distribution, and expected weight distribution of the bridge rotation structure, and through weighted analysis of the expected weight deviation and the designed weight deviation, the weighing deviation of the rotation structure is calculated, quantifying the deviation degree of the test weight from the design target and the symmetry expectation, achieving the technical effect of accurately evaluating the stress state of the bridge rotation structure.

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0017] It should be noted that any variations of the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products, or devices.

[0018] Embodiment 1, as Figure 1 shown, the embodiment of the present application provides a high-precision bridge dynamic weighing test system, and the system includes:

[0019] An information acquisition module 11, and the information acquisition module 11 is used to acquire the first designed weight distribution and the second designed weight distribution of the first rotation structure and the second rotation structure of the bridge. Among them, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of a plurality of first fulcrums and the second designed weights of a plurality of second fulcrums.

[0020] In the embodiment of the present application, the information acquisition module 11 is used to acquire the designed weight distributions of the first rotation structure and the second rotation structure of the bridge. Specifically, the information acquisition module 11 obtains the rotation design data of the bridge, including relevant information of the first rotation structure and the second rotation structure, and parses and extracts the designed weights of a plurality of fulcrums therein. Subsequently, the first designed weight distribution and the second designed weight distribution are respectively constructed according to the extracted data. The first designed weight distribution covers the first designed weights of a plurality of first fulcrums within the first rotation structure, and the second designed weight distribution covers the second designed weights of a plurality of second fulcrums within the second rotation structure.

[0021] Further, in the system provided by the application embodiment, the information acquisition module 11 is further configured to:

[0022] Obtain the rotation design data of the bridge, wherein the rotation design data includes a first rotation structure and a second rotation structure; respectively extract the design weights of a plurality of first fulcrums and a plurality of second fulcrums in the first rotation structure and the second rotation structure to obtain a plurality of first design weights and a plurality of second design weights, and construct a first design weight distribution and a second design weight distribution.

[0023] In the embodiment of the present application, the information acquisition module 11 first obtains the rotation design data of the bridge from the design database or engineering documents of the bridge. The rotation design data contains detailed information of the first rotation structure and the second rotation structure. Specifically, the rotation design data includes two parts. One part is the relevant design information of the first rotation structure, and the other part is the design data of the second rotation structure. These data cover key information such as the geometric shape of the bridge rotation structure, the fulcrum position, and the design load of each fulcrum. Then, the design weights of a plurality of fulcrums of the first rotation structure and the second rotation structure are extracted from these design data, that is, the design weights of a plurality of first fulcrums and a plurality of second fulcrums in the first rotation structure and the second rotation structure are extracted. The design weight corresponding to the first fulcrum is called the first design weight, and the design weight corresponding to the second fulcrum is called the second design weight. Through this process, a plurality of first design weights and a plurality of second design weights are obtained.

[0024] After extracting the design weight of each fulcrum, finally, the plurality of first design weights and the plurality of second design weights are respectively sorted according to the arrangement order and distribution position of the fulcrums to construct a first design weight distribution and a second design weight distribution.

[0025] A test module 12, the test module 12 is configured to perform a trial rotation on the first rotation structure and the second rotation structure, dynamically test to obtain a first test weight of the plurality of first fulcrums and a second test weight of the plurality of second fulcrums, and obtain a first test weight distribution and a second test weight distribution.

[0026] In the embodiment of the present application, the test module 12 rotates the first rotation structure and the second rotation structure through a trial rotation. The purpose of the trial rotation is to simulate the dynamic loads and motion states that the bridge rotation structure may experience during actual operation. The trial rotation is completed by a mechanical drive system (such as an electric motor or a hydraulic drive device), aiming to bring the rotation structure to a certain rotation state so as to stimulate the dynamic response of the structure during movement.

[0027] During the trial rotation, dynamic testing is carried out. The testing module 12 uses sensors installed at the fulcrums of the rotating structure to monitor the instantaneous weight of each fulcrum in real time. The sensors are usually pressure sensors, and their function is to accurately record the actual force-bearing state of each fulcrum of the rotating structure at the moment when the trial rotation ends. The test weight is the dynamic load borne by each fulcrum at the moment when the trial rotation ends. Through testing, the first test weights of multiple first fulcrums and the second test weights of multiple second fulcrums are obtained.

[0028] Finally, the obtained multiple first test weights and second test weights are sorted according to the arrangement order and distribution position of the fulcrums to construct the first test weight distribution and the second test weight distribution.

[0029] The first alignment calculation module 13 is used to generate a second expected weight distribution according to the first test weight distribution, and based on the second expected weight distribution, perform fulcrum alignment calculation on the second test weight distribution to obtain the expected weight deviation.

[0030] In the embodiment of the present application, the first alignment calculation module 13 first inputs the first test weight distribution into a pre-constructed expected weight distribution generation path to generate a second expected weight distribution.

[0031] Next, based on the second expected weight distribution, the second test weight distribution is subjected to fulcrum alignment calculation through a pre-prepared formula to obtain the expected weight deviation.

[0032] Further, in the system provided by the embodiment of the application, the first alignment calculation module 13 is further used for:

[0033] Adopt a generative adversarial network to construct an expected weight distribution generation path; input the first test weight distribution into the expected weight distribution generation path to generate a second expected weight distribution.

[0034] Further, in the system provided by the embodiment of the application, the first alignment calculation module 13 is further used for:

[0035] According to the historical design data of the bridge rotating structure, collect a set of sample first test weight distributions. According to each sample first test weight distribution, based on the structural symmetry relationship, process and obtain a sample second expected weight distribution to obtain a set of sample second expected weight distributions; based on the generative adversarial network, construct the expected weight distribution generation path, where the expected weight distribution generation path includes a generator and a discriminator; use the set of sample first test weight distributions and the set of sample second expected weight distributions as the generator training data and the discriminator training data, and alternately train the generator and the discriminator until convergence to obtain the expected weight distribution generation path.

[0036] In the embodiment of the present application, first, a generative adversarial network is adopted to construct an expected weight distribution generation path in combination with the symmetry of the bridge rotation structure and historical design data. Specifically, first, data is collected from the operation history database of the bridge, historical test records of multiple first rotation structures are extracted, and valid data containing the test weight distribution of the fulcrum is screened out, and the sample first test weight distribution set is sorted out. These data reflect the dynamic stress state of the first rotation structure in historical tests. Then, according to the characteristic that the two rotation structures in bridge design usually have symmetry, the sample first test weight distribution is processed using the structural symmetry relationship to generate a sample second expected weight distribution set. In this process, first, the symmetry rules of the two rotation structures are clarified by analyzing the bridge design drawings, for example, the symmetric mapping relationship of the fulcrum in geometric distribution is identified; then, for each sample first test weight distribution, according to the symmetric mapping relationship, the weight of each fulcrum of the first rotation structure is mapped to the corresponding symmetric fulcrum of the second rotation structure, and the total weight and moment balance are kept consistent; finally, after the transformation is completed, a corresponding second expected weight distribution is generated for each first test weight distribution, and the sample second expected weight distribution set is sorted out.

[0037] After generating the sample data, an expected weight distribution generation path is constructed through a generative adversarial network. The generative adversarial network consists of a generator and a discriminator. The generator is used to receive the first test weight distribution as input and generate the corresponding second expected weight distribution; the discriminator is used to judge whether the distribution generated by the generator is consistent with the sample second expected weight distribution. Specifically, the generator learns the mapping relationship between the first test weight distribution and the second expected weight distribution through a neural network, extracts features, such as the load relationship between the fulcrums and the weight change law; the discriminator guides the generator to continuously optimize by evaluating the similarity between the generated distribution and the real distribution. The input of the generator is the sample first test weight distribution set, and the output is the second expected weight distribution, while the discriminator compares the distribution generated by the generator with the sample second expected weight distribution and outputs the probability of judging whether the generated data is close to the real one. The network design of the generator and the discriminator usually adopts a multi-layer fully connected neural network, and the number of layers and parameters of the network are determined according to the complexity of the weight distribution data.

[0038] Subsequently, it enters the training phase of the generative adversarial network. The generation path is optimized through the alternating training of the generator and the discriminator until convergence. During training, the discriminator first fixes the generator, takes the second expected weight distribution of the samples as the real samples, and the distribution generated by the generator as the fake samples. The parameters are optimized by calculating the classification error between the two (using the cross-entropy loss function) to improve the discriminator's ability to distinguish between real and fake distributions. Then, the discriminator is fixed, and the first test weight distribution of the samples is input into the generator to generate the second expected weight distribution. The discriminator evaluates whether the distribution generated by the generator is close to the real distribution, and the parameters of the generator are optimized according to the error of the generation result. The convergence criterion is that the average error between the second expected weight distribution generated by the generator and the second expected weight distribution of the samples drops below 1% (for example, the average deviation of the generated distribution and the real distribution at each fulcrum is less than 0.01), or the classification accuracy of the discriminator for the generated data and the real data is close to 50% (that is, the discriminator cannot distinguish between the generated distribution and the real distribution). Through the alternating optimization of the generator and the discriminator, the generator gradually learns to generate a second expected weight distribution that conforms to the symmetry characteristics and is close to the real one. The training continues until the above convergence conditions are met. Through this process, the generation path of the expected weight distribution is finally obtained.

[0039] Finally, the first test weight distribution is input into the generation path of the expected weight distribution, and the generator generates the corresponding second expected weight distribution according to the input data through the learned mapping rules.

[0040] Furthermore, in the system provided by the application embodiment, the first alignment calculation module 13 is further configured to:

[0041] Based on multiple second expected weights within the second expected weight distribution; according to multiple second test weights within the second test weight distribution, the expected weight deviation is calculated as follows:

[0042] ;

[0043] Where is the expected weight deviation, M is the number of multiple second fulcrums, is the second test weight of the i-th second fulcrum within the second test weight distribution, is the second expected weight of the i-th second fulcrum within the second expected weight distribution.

[0044] In an embodiment of the present application, based on multiple second expected weights within the second expected weight distribution and in combination with multiple second test weights within the second test weight distribution, an expected weight deviation is calculated. In this process, the benchmark refers to the second expected weight of each fulcrum in the second expected weight distribution, which represents the theoretical expected load distribution of each fulcrum in the second rotating structure under ideal design conditions. The role of the benchmark is to provide a theoretical reference for comparing the second test weights in the actual test weight distribution, thereby measuring the deviation between the actual test results and the theoretical design target.

[0045] By calculating the expected weight deviation, where is the expected weight deviation, M is the number of multiple second fulcrums, is the second test weight of the i-th second fulcrum within the second test weight distribution, is the second expected weight of the i-th second fulcrum within the second expected weight distribution. By accumulating and summing the relative deviations of all fulcrums and calculating their average value, the overall expected weight deviation is finally obtained.

[0046] The second alignment calculation module 14 is used to perform fulcrum alignment calculations on the first test weight distribution and the second test weight distribution respectively based on the first design weight distribution and the second design weight distribution as benchmarks, so as to obtain a design weight deviation.

[0047] In an embodiment of the present application, the second alignment calculation module 14 calculates the first design weight deviation and the second design weight deviation respectively by performing fulcrum alignment calculations on the first test weight distribution and the second test weight distribution based on the first design weight distribution and the second design weight distribution as benchmarks, and finally obtains the overall design weight deviation. Among them, the benchmarks are the first design weight and the second design weight, which represent the theoretical target loads of each fulcrum under design conditions; the test weights represent the actual loads obtained through sensors during the trial rotation process. By calculating the relative deviation of the actual test weight from the design weight for each fulcrum, in the calculation, based on the first design weight distribution and the second design weight distribution as benchmarks respectively, the relative deviation values of the first test weight distribution and the second test weight distribution are calculated for each fulcrum, and then the relative deviation values of all fulcrums are summed and averaged to obtain the first design weight deviation and the second design weight deviation respectively. Finally, by calculating the average value of the two, the final design weight deviation is obtained.

[0048] Furthermore, in the system provided by the application embodiment, the second alignment calculation module 14 is further used for:

[0049] Based on a plurality of first design weights and a plurality of second design weights within the first design weight distribution and the second design weight distribution respectively, perform pivot alignment calculations on the first test weight distribution and the second test weight distribution to obtain a first design weight deviation and a second design weight deviation, as shown in the following formula:

[0050] ;

[0051] where, is the design weight deviation, M is the number of a plurality of pivots, is the test weight of the i-th pivot within the test weight distribution, is the design weight of the i-th pivot within the design weight distribution; calculate the mean value of the first design weight deviation and the second design weight deviation to obtain the design weight deviation.

[0052] In the embodiments of the present application, by taking the first design weight distribution and the second design weight distribution as a basis, perform pivot alignment calculations on the first test weight distribution and the second test weight distribution respectively. Finally, calculate the first design weight deviation and the second design weight deviation, and calculate the overall design weight deviation through the mean value of the two.

[0053] Specifically, first, take a plurality of first design weights and second design weights in the first design weight distribution and the second design weight distribution as a basis. Subsequently, perform pivot alignment calculations on the first test weight distribution and the second test weight distribution. When performing the calculations, use the formula for the calculation, where, is the design weight deviation, M is the number of a plurality of pivots, is the test weight of the i-th pivot within the test weight distribution, is the design weight of the i-th pivot within the design weight distribution. By accumulating and summing the relative deviation values of all pivots and taking the average, obtain the first design weight deviation and the second design weight deviation respectively.

[0054] Finally, take the mean value of the first design weight deviation and the second design weight deviation to calculate the overall design weight deviation.

[0055] A test result acquisition module 15, the test result acquisition module 15 is used to calculate and obtain the weighing deviation of the swivel structure according to the expected weight deviation and the design weight deviation as the weighing test result.

[0056] In the embodiments of the present application, the test result acquisition module 15 performs weighted calculations on the expected weight deviation and the design weight deviation to obtain the weighing deviation of the swivel structure, where the weights of the expected weight deviation and the design weight deviation are the same. Take the calculated weighing deviation of the swivel structure as the weighing test result.

[0057] Further, in the system provided by the application embodiment, the test result acquisition module 15 is further configured to:

[0058] Perform weighted calculation on the expected weight deviation and the designed weight deviation to obtain the weighing deviation of the rotating structure; use the weighing deviation of the rotating structure as the weighing test result.

[0059] In the embodiment of the present application, to determine the weighing deviation of the rotating structure, weighted calculation is performed on the expected weight deviation and the designed weight deviation. Among them, the weights of the expected weight deviation and the designed weight deviation are the same. Through calculation, the weighing deviation of the rotating structure is obtained. Finally, the calculated weighing deviation of the rotating structure is used as the weighing test result.

[0060] In the embodiment of the present application, in summary, the embodiment of the present application has at least the following technical effects:

[0061] The present application obtains the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge. Among them, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of multiple first fulcrums and the second designed weights of multiple second fulcrums; perform trial rotation on the first rotating structure and the second rotating structure, and dynamically test to obtain the first test weights of the multiple first fulcrums and the second test weights of the multiple second fulcrums, and obtain the first test weight distribution and the second test weight distribution; generate a second expected weight distribution according to the first test weight distribution, and perform fulcrum alignment calculation on the second test weight distribution based on the second expected weight distribution to obtain the expected weight deviation; perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution respectively based on the first designed weight distribution and the second designed weight distribution to obtain the designed weight deviation; calculate and obtain the weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation, and use it as the weighing test result. The present invention solves the technical problem that the prior art cannot accurately evaluate the stress state of the bridge rotating structure and lacks precise quantification of the deviation between the actual test weight and the design target and the symmetry expectation. By performing alignment calculation on the designed weight distribution, the test weight distribution and the expected weight distribution of the bridge rotating structure, and through weighted analysis of the expected weight deviation and the designed weight deviation, the weighing deviation of the rotating structure is calculated, and the deviation degree of the test weight from the design target and the symmetry expectation is quantified, achieving the technical effect of accurately evaluating the stress state of the bridge rotating structure.

[0062] Embodiment 2, based on the same inventive concept as a high-precision bridge dynamic weighing test system in the foregoing embodiment, as Figure 2 shown, the embodiment of the present application provides a high-precision bridge dynamic weighing test method, and the method includes:

[0063] Obtain the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge, wherein the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of a plurality of first fulcrums and the second designed weights of a plurality of second fulcrums; conduct trial rotations on the first rotating structure and the second rotating structure, dynamically test to obtain the first test weights of the plurality of first fulcrums and the second test weights of the plurality of second fulcrums, and obtain the first test weight distribution and the second test weight distribution; generate and obtain the second expected weight distribution according to the first test weight distribution, and perform fulcrum alignment calculation on the second test weight distribution based on the second expected weight distribution to obtain the expected weight deviation; respectively perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution based on the first designed weight distribution and the second designed weight distribution to obtain the designed weight deviation; calculate and obtain the weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation as the weighing test result.

[0064] Further, when obtaining the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge, the method further includes:

[0065] Obtain the rotating design data of the bridge, wherein the rotating design data includes the first rotating structure and the second rotating structure; respectively extract the designed weights of a plurality of first fulcrums and a plurality of second fulcrums in the first rotating structure and the second rotating structure to obtain a plurality of first designed weights and a plurality of second designed weights, and construct the first designed weight distribution and the second designed weight distribution.

[0066] Further, when generating the second expected weight distribution according to the first test weight distribution, the method further includes:

[0067] Adopt a generative adversarial network to construct a generation path for the expected weight distribution; input the first test weight distribution into the generation path for the expected weight distribution to generate the second expected weight distribution.

[0068] Further, when adopting a generative adversarial network to construct a generation path for the expected weight distribution, the method further includes:

[0069] According to the historical design data of the bridge rotation structure, collect the first test weight distribution set of samples. Based on each first test weight distribution of the samples and the structural symmetry relationship, process and obtain the second expected weight distribution of the samples, and obtain the second expected weight distribution set of the samples; Based on the generative adversarial network, construct the generation path of the expected weight distribution, where the generation path of the expected weight distribution includes a generator and a discriminator; Use the first test weight distribution set of the samples and the second expected weight distribution set of the samples as the generation training data and the discriminant training data, and alternately train the generator and the discriminator until convergence to obtain the generation path of the expected weight distribution.

[0070] Further, taking the second expected weight distribution as a benchmark, perform fulcrum alignment calculation on the second test weight distribution to obtain the expected weight deviation. The method further includes:

[0071] Taking multiple second expected weights in the second expected weight distribution as a benchmark; According to multiple second test weights in the second test weight distribution, calculate the expected weight deviation as follows:

[0072] ;

[0073] Where, is the expected weight deviation, M is the number of multiple second fulcrums, is the second test weight of the i-th second fulcrum in the second test weight distribution, is the second expected weight of the i-th second fulcrum in the second expected weight distribution.

[0074] Further, taking the first design weight distribution and the second design weight distribution as benchmarks respectively, perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution to obtain the design weight deviation. The method further includes:

[0075] Taking multiple first design weights and multiple second design weights in the first design weight distribution and the second design weight distribution as benchmarks respectively, perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution to obtain the first design weight deviation and the second design weight deviation as follows:

[0076] ;

[0077] Where, is the design weight deviation, M is the number of multiple fulcrums, is the test weight of the i-th fulcrum in the test weight distribution, is the design weight of the i-th fulcrum in the design weight distribution; Calculate the mean value of the first design weight deviation and the second design weight deviation to obtain the design weight deviation.

[0078] Further, according to the expected weight deviation and the designed weight deviation, a weighing deviation of the rotating structure is calculated and obtained as a weighing test result. The method further includes:

[0079] The expected weight deviation and the designed weight deviation are weighted and calculated to obtain a weighing deviation of the rotating structure; the weighing deviation of the rotating structure is used as the weighing test result.

[0080] It should be noted that the above sequence of embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above description of specific embodiments of this specification has been made. The processes depicted in the drawings do not necessarily require the specific order and continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0081] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included within the protection scope of the present application.

[0082] This specification and the drawings are only exemplary descriptions of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. A high-precision bridge dynamic weighing test system, characterized in that The system includes: An information acquisition module, which is used to acquire the first designed weight distribution and the second designed weight distribution of the first rotating structure and the second rotating structure of the bridge. Wherein, the first designed weight distribution and the second designed weight distribution respectively include the first designed weights of a plurality of first fulcrums and the second designed weights of a plurality of second fulcrums; A test module, which is used to conduct trial rotations on the first rotating structure and the second rotating structure, dynamically test to obtain the first test weights of the plurality of first fulcrums and the second test weights of the plurality of second fulcrums, and obtain the first test weight distribution and the second test weight distribution; A first alignment calculation module, which is used to generate a second expected weight distribution according to the first test weight distribution, and perform fulcrum alignment calculation on the second test weight distribution based on the second expected weight distribution to obtain an expected weight deviation; A second alignment calculation module, which is used to perform fulcrum alignment calculation on the first test weight distribution and the second test weight distribution respectively based on the first designed weight distribution and the second designed weight distribution to obtain a designed weight deviation; A test result acquisition module, which is used to calculate and obtain a weighing deviation of the rotating structure according to the expected weight deviation and the designed weight deviation as a weighing test result.

2. The high-precision bridge dynamic weighing test system according to claim 1, characterized in that, The information acquisition module is used for: Acquiring the rotating design data of the bridge, wherein the rotating design data includes a first rotating structure and a second rotating structure; Respectively extracting the designed weights of a plurality of first fulcrums and a plurality of second fulcrums in the first rotating structure and the second rotating structure to obtain a plurality of first designed weights and a plurality of second designed weights, and constructing a first designed weight distribution and a second designed weight distribution.

3. The high-precision bridge dynamic weighing test system according to claim 1, wherein The first alignment calculation module is used for: Adopting a generative adversarial network to construct an expected weight distribution generation path; Inputting the first test weight distribution into the expected weight distribution generation path to generate a second expected weight distribution.

4. The high-precision bridge dynamic weighing test system according to claim 1, characterized in that The first alignment calculation module is used for: According to the historical design data of the bridge rotating structure, collecting a sample first test weight distribution set, and processing and obtaining a sample second expected weight distribution based on the structural symmetry relationship according to each sample first test weight distribution to obtain a sample second expected weight distribution set; Based on the generative adversarial network, constructing the expected weight distribution generation path, wherein the expected weight distribution generation path includes a generator and a discriminator; Using the sample first test weight distribution set and the sample second expected weight distribution set as generative training data and discriminative training data, and alternately training the generator and the discriminator until convergence to obtain the expected weight distribution generation path.

5. The high-precision bridge dynamic weighing test system according to claim 1, wherein The first alignment calculation module is used for: Taking the plurality of second expected weights in the second expected weight distribution as a benchmark; Calculating and obtaining an expected weight deviation according to the plurality of second test weights in the second test weight distribution as follows: ； Wherein, is the expected weight deviation, M is the number of multiple second fulcrums, is the second test weight of the i-th second fulcrum in the second test weight distribution, is the second expected weight of the i-th second fulcrum in the second expected weight distribution.

6. The high-precision bridge dynamic weighing test system according to claim 1, characterized in that The second alignment calculation module is used for: Based on a plurality of first design weights and a plurality of second design weights within the first design weight distribution and the second design weight distribution respectively, perform fulcrum alignment calculations on the first test weight distribution and the second test weight distribution to obtain a first design weight deviation and a second design weight deviation, as shown in the following formula: ； Among them, is the design weight deviation, M is the number of multiple fulcrums, is the test weight of the i-th fulcrum within the test weight distribution, is the design weight of the i-th fulcrum within the design weight distribution; Calculate the mean of the first design weight deviation and the second design weight deviation to obtain a design weight deviation.

7. The high-precision bridge dynamic weighing test system according to claim 1, characterized in that, A test result acquisition module, configured to: Perform weighted calculations on the expected weight deviation and the design weight deviation to obtain a weighing deviation of the rotating structure; Use the weighing deviation of the rotating structure as the weighing test result.

8. A high-precision bridge dynamic weighing test method, characterized in that, The method is executed by a high-precision bridge dynamic weighing test system according to any one of claims 1 to 7, and includes: Obtain a first design weight distribution and a second design weight distribution of a first rotating structure and a second rotating structure of a bridge, wherein the first design weight distribution and the second design weight distribution respectively include first design weights of a plurality of first fulcrums and second design weights of a plurality of second fulcrums; Perform trial rotations on the first rotating structure and the second rotating structure, and dynamically test to obtain first test weights of the plurality of first fulcrums and second test weights of the plurality of second fulcrums, to obtain a first test weight distribution and a second test weight distribution; Generate a second expected weight distribution based on the first test weight distribution, and perform fulcrum alignment calculations on the second test weight distribution based on the second expected weight distribution to obtain an expected weight deviation; Perform fulcrum alignment calculations on the first test weight distribution and the second test weight distribution respectively based on the first design weight distribution and the second design weight distribution to obtain a design weight deviation; Calculate and obtain a weighing deviation of the rotating structure based on the expected weight deviation and the design weight deviation, as the weighing test result.

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