Device and method for measuring static rigidity of bridge girder erection machine

Abstract

The invention provides equipment and a method for measuring the static rigidity of a bridge girder erection machine. The method comprises the following steps: determining the strain contribution degree of each stage of static load to a target bridge girder erection machine through strain data of the target bridge girder erection machine under each stage of static load; according to all the strain contribution degrees and the structural characteristics of the target bridge erecting machine, determining the loss gradient of the strain state in the target bridge erecting machine when the static load increases progressively, and determining the dominant strain mode of each stage of static load to the bridge erecting machine based on the loss gradient of the strain; according to the displacement data and the strain data of the target bridge girder erection machine under each stage of static load, determining an inter-stage coupling residual error between each adjacent static load on the target bridge girder erection machine; and determining the structural stiffness of the target bridge girder erection machine under each stage of static load based on the static stiffness measurement model in combination with all the dominant strain modes and the inter-stage coupling residual errors between the adjacent static loads. By adopting the scheme of the invention, the influence of the displacement and strain coupling relationship on the measurement of the static rigidity of the bridge girder erection machine during dynamic strain change can be reduced.

Description

Technical Field

[0001] The present application relates to the technical field of stiffness measurement, and more specifically, to a static stiffness measurement device and method for a bridge erection machine. Background Art

[0002] Stiffness refers to the ability of a structure or component to resist deformation. It is a key indicator for measuring structural performance in engineering fields (such as mechanical manufacturing, aerospace, civil engineering, etc.). The core goal of stiffness measurement is to quantify the deformation law of a structure under specific loads through experimental or computational means, providing data support for structural design, safety assessment, fault diagnosis and performance optimization.

[0003] With the continuous expansion of the scale of bridge construction projects, the structural stiffness of bridge-building machines, as key construction equipment, directly affects the safety and construction accuracy of bridge erection. Existing bridge-building machine static stiffness measurement methods mostly rely on a single parameter (such as displacement or strain) for evaluation, which is difficult to fully reflect the true mechanical properties of the structure under complex load conditions. On the one hand, traditional methods do not fully consider the differences in contributions of different parts of the structure during the load-bearing process, and ignore the influence of the strain distribution of key components on the overall stiffness; on the other hand, they do not deeply analyze the coupling relationship between displacement and strain data, and cannot effectively identify stiffness degradation caused by material nonlinearity, contact effect or local damage. In addition, there is a lack of quantitative analysis of the strain state change trend during the static load increase process, making it difficult to accurately capture the dynamic characteristics of the structural stiffness changing with load, resulting in insufficient measurement accuracy. Therefore, how to reduce the influence of the displacement and strain coupling relationship on the measurement of the static stiffness of the bridge-building machine during dynamic strain changes has become a problem faced by the industry. Summary of the Invention

[0004] The present application provides a bridge erection machine static stiffness measurement device and method, which can reduce the influence of the displacement and strain coupling relationship on the measurement of the static stiffness of the bridge erection machine when the strain changes dynamically.

[0005] In a first aspect, the present application provides a method for measuring the static stiffness of a bridge erection machine, wherein a sensor network is pre-arranged on a target bridge erection machine, and a graded static load is applied to the target bridge erection machine via a loading device. The method comprises the following steps: Based on the sensor network, strain data of the target bridge erection machine under various levels of static load are collected; Determine the strain contribution of each level of static load to the target bridge erection machine through all strain data; Performing a gradient analysis on the strain state of the static load on the target bridge-erecting machine based on all strain contributions and the structural characteristics of the target bridge-erecting machine, obtaining a loss gradient of the strain state in the target bridge-erecting machine when the static load increases, and determining the dominant strain mode of the bridge-erecting machine at each level of static load based on the loss gradient of the strain state; monitoring the displacement data of the target bridge erecting machine under various levels of static loads, performing coupling analysis on the displacement data and strain data under various levels of static loads, and thereby obtaining inter-stage coupling residuals between adjacent static loads on the target bridge erecting machine; A static stiffness measurement model of the target bridge-building machine is constructed, and the structural stiffness of the target bridge-building machine under each level of static load is determined based on the static stiffness measurement model combined with all dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

[0006] In some embodiments, determining the strain contribution of each level of static load to the target bridge erection machine through all strain data specifically includes: A first-level static load is selected as the selected static load, and the contribution component of the corresponding position of each sensor in the target bridge-erecting machine under the selected static load is determined according to the strain data corresponding to the selected static load; Determine the strain contribution of the selected static load to the target bridge erection machine through all contribution components; Continue to determine the strain contribution of the residual static load to the target bridge-erecting machine.

[0007] In some embodiments, a gradient analysis is performed on the strain state of the static load on the target bridge erection machine based on all strain contributions and the structural characteristics of the target bridge erection machine, and the loss gradient of the strain state in the target bridge erection machine when the static load increases is obtained, specifically including: Determine the structural characteristics of the target bridge-erecting machine; Determine multiple local strain gradients of static load on the target bridge erection machine based on all strain contributions; The loss gradient of the strain state in the target bridge erection machine during the static load increase is determined by all local strain gradients.

[0008] In some embodiments, determining the dominant strain mode of each level of static load on the bridge erection machine based on the loss gradient of the strain state specifically includes: Obtain the structural dynamic characteristics of the target bridge-erecting machine; Classifying and analyzing the strains under various levels of static loads according to the loss gradient of the strain state and the structural dynamic characteristics to obtain multiple similar strain clusters; The dominant strain modes of the bridge erection machine under various levels of static load are determined through all similar strain clusters.

[0009] In some embodiments, coupling analysis is performed on the displacement data and strain data under each level of static load to obtain the inter-level coupling residuals between adjacent static loads on the target bridge erection machine, specifically including: Matching and aligning the displacement data and strain data under each level of static load to obtain displacement-strain matching data; Determining coupling characteristics between adjacent static loads on the target bridge erection machine based on the displacement-strain matching data; The inter-stage coupling residuals between adjacent static loads on the target bridge erection machine are determined based on all coupling degree characteristics.

[0010] In some embodiments, determining the structural stiffness of the target bridge erecting machine under each level of static load based on the static stiffness measurement model in combination with all dominant strain modes and the inter-stage coupling residuals between each adjacent static load specifically includes: Determine the main deformation area and deformation trend of the target bridge-erecting machine based on all dominant strain modes; Determining the coupling relationship coefficient between displacement and strain through the inter-stage coupling residuals between the adjacent static loads; The main deformation area, the deformation trend and the coupling relationship coefficient are input into the static stiffness measurement model, and the structural stiffness of the target bridge-building machine under various levels of static load is output through the static stiffness measurement model.

[0011] In some embodiments, the displacement data of the target bridge erection machine under various levels of static load is monitored by a laser displacement sensor.

[0012] In a second aspect, the present application provides a bridge erection machine static stiffness measurement device, the bridge erection machine static stiffness measurement device includes a stiffness measurement unit, and the stiffness measurement unit includes: An acquisition module, configured to acquire strain data of the target bridge erection machine under various levels of static load based on the sensor network; A processing module is used to determine the strain contribution of each level of static load to the target bridge erection machine through all strain data; The processing module is further configured to perform a gradient analysis on the strain state of the static load on the target bridge erection machine based on all strain contributions and the structural characteristics of the target bridge erection machine, obtain a loss gradient of the strain state in the target bridge erection machine when the static load increases, and determine the dominant strain mode of each level of static load on the bridge erection machine based on the loss gradient of the strain state; The processing module is further used to monitor the displacement data of the target bridge erection machine under various levels of static load, perform coupling analysis on the displacement data and strain data under various levels of static load, and thereby obtain the inter-stage coupling residuals between adjacent static loads on the target bridge erection machine; An execution module is used to construct a static stiffness measurement model of the target bridge-building machine, and determine the structural stiffness of the target bridge-building machine under each level of static load based on the static stiffness measurement model combined with all dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

[0013] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned bridge-building machine static stiffness measurement method.

[0014] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned bridge-building machine static stiffness measurement method is implemented.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: In the static stiffness measurement equipment and method for bridge-building machine provided in the present application, first, the strain data of the target bridge-building machine under each level of static load is collected based on the sensor network; the strain contribution of each level of static load to the target bridge-building machine is determined through all the strain data; the strain state of the static load on the target bridge-building machine is gradient analyzed according to all the strain contributions and the structural characteristics of the target bridge-building machine, and the loss gradient of the strain state in the target bridge-building machine when the static load increases is obtained, and the dominant strain mode of each level of static load on the bridge-building machine is determined based on the loss gradient of the strain state; the displacement data of the target bridge-building machine under each level of static load is monitored, and the displacement data and strain data under the static loads at each level are coupled and analyzed, thereby obtaining the inter-stage coupling residuals between each adjacent static load on the target bridge-building machine; a static stiffness measurement model of the target bridge-building machine is constructed, and the structural stiffness of the target bridge-building machine under each level of static load is determined based on the static stiffness measurement model in combination with all the dominant strain modes and the inter-stage coupling residuals between the each adjacent static load.

[0016] It can be seen that in the process of measuring the static stiffness of the bridge-building machine, the present application first determines the strain contribution of each level of static load to the target bridge-building machine through all strain data, so as to filter out the interference of secondary loads, focus on the core load segment that has a significant impact on the coupling relationship, reduce the noise interference of redundant data on the coupling analysis, and make the subsequent gradient analysis more accurately locate the dominant strain mode, and indirectly weaken the influence of displacement-strain nonlinear coupling under non-dominant load; secondly, according to all strain contributions and the structural characteristics of the target bridge-building machine, the strain state of the static load on the target bridge-building machine is gradient analyzed to obtain the loss gradient of the strain state in the target bridge-building machine when the static load increases, and the dominant strain mode of each level of static load on the bridge-building machine is determined based on the loss gradient of the strain state, and the dominant mode with weaker coupling with displacement is separated through gradient analysis, and a "pure" mapping relationship between load and strain is established to avoid the interference of displacement on complex strain modes in dynamic changes, which is a good method for measuring the static stiffness of the bridge-building machine. The stiffness measurement provides characteristic variables uncontaminated by coupling relationships. Then, a coupling analysis is performed on the displacement and strain data under each static load stage, resulting in the inter-stage coupling residuals between adjacent static loads on the target bridge-erecting machine. This residual analysis removes the nonlinear perturbations of displacement on strain during the load increment (such as non-proportional displacement-strain changes caused by structural geometric nonlinearity), converting the coupling effects into quantifiable correction parameters, providing a basis for error compensation in subsequent models. Finally, the structural stiffness of the target bridge-erecting machine under each static load stage is determined based on the static stiffness measurement model, combining all dominant strain modes and the inter-stage coupling residuals between adjacent static loads. The dominant strain modes and inter-stage coupling residuals eliminate the interference term introduced by displacement during dynamic strain changes, allowing the stiffness calculation to rely solely on the linear relationship between static load and strain. This reduces the influence of coupling relationships on the measurement results at the model level, ultimately achieving high-precision static stiffness measurement. This approach can reduce the influence of the displacement-strain coupling relationship on the static stiffness measurement of the bridge-erecting machine during dynamic strain changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is an exemplary flow chart of a bridge erection machine static stiffness measurement method according to some embodiments of the present application; Figure 2 is a schematic diagram of a bridge erection machine according to some embodiments of the present application; Figure 3 is an exemplary flow chart for determining the loss gradient of a strain state according to some embodiments of the present application; Figure 4 is a schematic structural diagram of a stiffness measurement unit according to some embodiments of the present application; Figure 5 It is a structural diagram of a computer device for implementing a bridge erection machine static stiffness measurement method according to some embodiments of the present application. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 , which is an exemplary flow chart of a bridge erection machine static stiffness measurement method according to some embodiments of the present application. The bridge erection machine static stiffness measurement method 100 mainly includes the following steps: In some embodiments, the pre-arrangement of a sensor network on the target bridge-building machine can be achieved in the following manner, namely: on the main beam, sensors (such as resistance strain gauge sensors) are arranged at a certain distance (such as 2-5 meters) along the length direction and in the mid-span and near the support point where the bending moment is large; in the support leg part, sensors are installed at the upper and lower ends connected to the main beam and at the key cross-section where the force is concentrated; for the crossbeam, sensors are set at the connection nodes between it and the main beam and the support legs, and in the area in the middle of the crossbeam that is prone to deformation. At the same time, following the principle of symmetrical distribution, ensure that the sensors appear in pairs at corresponding positions on both sides of the bridge-building machine, forming a sensor network layout that fully covers the key force areas and is interconnected, so as to ensure that the collected data can accurately reflect the overall strain of the bridge-building machine; and adopt professional installation technology to ensure that the sensors are tightly fitted to the bridge-building machine structure and can accurately sense the structural strain; in other embodiments, other arrangements can be adopted, which are not limited here.

[0020] In some embodiments, applying a graded static load to the target bridge-building machine through a loading device can be achieved in the following manner, namely: gradually increasing the hydraulic pressure according to a certain load gradient (such as increasing the design load by 5%-10% each time) by adding a device (such as a hydraulic cylinder), and applying the static load evenly to the designated loading points of the bridge-building machine through the hydraulic cylinder. These loading points are usually selected at key stress-bearing locations such as the mid-span of the main beam, the support points, and the tops of the legs; in other embodiments, other loading methods can be used, which are not limited here.

[0021] In step 101, strain data of the target bridge erection machine under various levels of static loads are collected based on the sensor network.

[0022] In specific implementation, after the target bridge-building machine completes the sensor network layout, each sensor is connected to the data acquisition instrument through a dedicated cable to form a complete data acquisition channel. The data acquisition instrument pre-sets the sampling frequency (such as 100Hz, which can be adjusted according to the deformation speed of the bridge-building machine and the measurement accuracy requirements) and the acquisition time (1-2 minutes of acquisition after each level of load is applied and stabilized). When the loading device applies various levels of static loads to the bridge-building machine and maintains the load stably, the data acquisition instrument synchronously starts the collection of all sensor data according to the set parameters, and collects the strain data of the target bridge-building machine under various levels of static loads; in other embodiments, other methods of collection can also be used, which are not limited here.

[0023] It should be noted that the strain data in this application includes a collection of all strain values. Each sensor collects the strain value of the corresponding position once under a primary static load. The strain data represents the strain degree of the target bridge-building machine under a sub-static load, which can be used to analyze the static stiffness of the target bridge-building machine.

[0024] In some embodiments, reference Figure 2 As shown, this figure is a schematic diagram of a bridge erection machine in some embodiments of the present application, such as Figure 2 As mentioned above, the horizontal long beam component in the figure is the main beam, which is used to bear the weight of the hoisted beam body and the load during its own operation. It is mostly made of steel structure and has high strength and rigidity; the structure supporting the main beam in the figure is the support leg, which plays the role of supporting and stabilizing the bridge-building machine. It can be divided into front support legs, middle support legs and rear support legs. Different support legs have different functions when the bridge-building machine moves longitudinally, transversely and erects beams. The lifting mechanism in the figure includes a hook component (with a hook for hanging heavy objects in the figure), which realizes the vertical lifting and lowering of the beam body through a winch, wire rope, etc., and is the key executive mechanism for the beam erection operation; the bridge-building machine is supported on the pier or the erected beam body through the support legs, and the prefabricated beam is lifted from the beam transport vehicle by the lifting mechanism, and then the beam body is accurately placed at the predetermined position of the pier through longitudinal and transverse movements to complete the bridge erection work.

[0025] In step 102, the strain contribution of each level of static load to the target bridge erection machine is determined through all strain data.

[0026] In some embodiments, determining the strain contribution of each level of static load to the target bridge erection machine through all strain data can be achieved by using the following steps: A first-level static load is selected as the selected static load, and the contribution component of the corresponding position of each sensor in the target bridge-erecting machine under the selected static load is determined according to the strain data corresponding to the selected static load; Determine the strain contribution of the selected static load to the target bridge erection machine through all contribution components; Continue to determine the strain contribution of the residual static load to the target bridge-erecting machine.

[0027] It should be noted that within the scope of elastic mechanics, the strain of the bridge crane structure is linearly related to the static load, that is, the strain generated when each level of load acts alone can be superimposed to obtain the total strain. Therefore, by separating the strain data corresponding to each level of load, its contribution to the total strain can be quantified.

[0028] In the specific implementation, first, the strain data collected by each sensor in the target bridge-building machine under the selected static load is normalized using the normalization algorithm in the existing technology, that is: the strain value of each sensor is divided by the sum of the strain values ​​of all sensors, and the normalized value of each sensor is used as the contribution component of the corresponding position of the corresponding sensor, wherein the contribution component reflects the contribution ratio of the position of each sensor to the overall strain; then, based on the weighted summation method in statistics, the contribution component of the corresponding position of each sensor is used as the weight, combined with the importance coefficient of the structural part where the sensor is located (this coefficient can be pre-set according to the bridge-building machine structure design specification), all contribution components are weighted summed, and the value obtained by the weighted summation is used as the strain contribution of the selected static load to the target bridge-building machine; in other embodiments, other methods can also be used for determination, which are not limited here.

[0029] It should be noted that the strain contribution in this application represents the parameter value of the contribution degree of the static load to the strain condition of the target bridge-building machine, and can be used to analyze the strain state of the target bridge-building machine.

[0030] In step 103, a gradient analysis is performed on the strain state of the static load on the target bridge-building machine based on all strain contributions and the structural characteristics of the target bridge-building machine to obtain the loss gradient of the strain state in the target bridge-building machine when the static load increases. Based on the loss gradient of the strain state, the dominant strain mode of each level of static load on the bridge-building machine is determined.

[0031] In some embodiments, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart for determining the loss gradient of the strain state in some embodiments of the present application. In this embodiment, the strain state of the static load on the target bridge-erecting machine is subjected to a gradient analysis based on all strain contributions and the structural characteristics of the target bridge-erecting machine. The loss gradient of the strain state in the target bridge-erecting machine when the static load increases can be obtained by the following steps: First, in step 1031, the structural characteristics of the target bridge erection machine are determined; Next, in step 1032 , multiple local strain gradients of the static load on the target bridge erection machine are determined based on all strain contributions; Finally, in step 1033 , the loss gradient of the strain state in the target bridge erection machine when the static load is increased is determined through all local strain gradients.

[0032] It should be noted that the strain gradient indicates that the strain distribution inside the structure is not only related to the current load, but also to the strain gradient of the adjacent area. During the increasing static load, the stiffness differences and stress concentration factors in various parts of the structure will lead to a decrease in strain transfer efficiency, resulting in a "loss" phenomenon. The structural characteristics of the target bridge-building machine (such as component size, connection method, and material properties) determine its stress transfer path and strain distribution law, and the strain contribution reflects the strain proportion of different parts under each level of load. The combination of the two can quantify the attenuation trend of strain with increasing load, that is, the loss gradient of the strain state in the target bridge-building machine when the static load increases.

[0033] In the specific implementation, first, the structural characteristics of the target bridge-building machine are extracted from the design drawings of the target bridge-building machine, wherein the structural characteristics include the material properties (such as elastic modulus, yield strength), geometric dimensions (cross-sectional shape, length), connection methods (welding, bolt connection) and constraints (support type) of the main beam and key components of the support legs of the bridge-building machine; in other embodiments, other methods can also be used for determination, which is not limited here.

[0034] In specific implementation, the following method can be used to determine multiple local strain gradients of the static load on the target bridge-building machine based on all strain contributions, namely: for each level of static load, the finite difference method in the existing technology is used in combination with the structural characteristics of the target bridge-building machine to divide the structure of the bridge-building machine into multiple micro-element segments, wherein the micro-element segment refers to the smallest analysis unit obtained after discretizing the overall structure of the bridge-building machine. For example, based on the key parts of the main beam and the support legs, it is divided according to a certain length (such as 1-2 meters) or by structural units (such as each beam, each section of the column), and a corresponding relationship between the micro-element segment and the sensor position is established, and all strain contributions of the corresponding sensors of each micro-element segment under two adjacent levels of static load are extracted from all strain contributions. If a micro-element segment contains multiple sensors, The comprehensive strain contribution of the microelement segment under each level of load is calculated by the weighted average method (the weight is set according to the importance of the sensor position or the coverage area). Then, for each microelement segment, the comprehensive strain contribution under the next level of load is subtracted from the comprehensive strain contribution of the previous level to obtain the strain contribution difference; at the same time, the values ​​of the two adjacent levels of load are obtained, and the difference between the two is calculated as the load increment. Finally, the strain contribution difference of the microelement segment is divided by the corresponding load increment, and the value obtained by division is used as the local strain gradient of the microelement segment, thereby obtaining multiple local strain gradients of the static load on the target bridge-building machine, wherein the local strain gradient reflects the rate at which the strain of different parts changes with the load; in other embodiments, other methods can also be used for determination, which is not limited here.

[0035] In specific implementation, the loss gradient of the strain state in the target bridge-building machine when the static load increases can be determined by all local strain gradients. This can be achieved in the following way, namely: first, based on the design drawings, material properties and historical failure data of the target bridge-building machine, a comprehensive assessment is made of the importance and vulnerability of each structural part in the load-bearing process. For example, the mid-span of the main beam is judged to be a high-importance part due to the large bending moment it bears, and the leg connection is considered to be a high-vulnerability part due to the stress concentration and the fatigue damage it causes. By establishing a weighted average model and combining the local strain gradients of different parts to assign weights (the size of the weight is related to the importance and vulnerability of the part in the structure), the target bridge-building machine is obtained when the static load increases. The loss gradient of the strain state in the machine, for example: a judgment matrix is ​​constructed using the hierarchical analysis method to compare and score the importance and vulnerability of each structural part in pairs, and the weight coefficient of each structural part is determined by calculating the eigenvector of the matrix. For example, the weight coefficient range is 0-1, and the larger the weight coefficient, the greater the influence of the part in the structure. Then, the local strain gradient of each microelement segment is multiplied by the weight coefficient of the corresponding structural part to obtain the weighted local strain gradient value of each microelement segment. Finally, all weighted local strain gradient values ​​are used as the loss gradient of the strain state in the target bridge-building machine when the static load increases; in other embodiments, other methods can also be used for determination, which are not limited here.

[0036] It should be noted that the loss gradient in this application represents the gradient of the loss degree of the strain state in the target bridge-building machine when the static load increases, and can be used to quantify the changing trend of the strain growth efficiency of the structure during the loading process.

[0037] In some embodiments, determining the dominant strain mode of each level of static load on the bridge erection machine based on the loss gradient of the strain state can be achieved by using the following steps: Obtain the structural dynamic characteristics of the target bridge-erecting machine; Classifying and analyzing the strains under various levels of static loads according to the loss gradient of the strain state and the structural dynamic characteristics to obtain multiple similar strain clusters; The dominant strain modes of the bridge erection machine under various levels of static load are determined through all similar strain clusters.

[0038] It should be noted that the loss gradient of the strain state reflects the attenuation trend of the strain growth efficiency of various parts of the bridge-building machine when the static load increases, and the dominant strain mode refers to the main deformation mode of the structure under a specific load (such as bending, tension, shear or combined deformation). When the load increases step by step, the difference in strain loss gradients at different parts will reveal its deformation characteristics: the high loss gradient area (slow strain growth) may show local deformation dominance due to the material entering the nonlinear stage or the degradation of structural stiffness, while the low loss gradient area (stable strain growth) may maintain the dominant overall mode of elastic deformation. Therefore, the dominant strain mode of the bridge-building machine at each level of static load can be determined based on the loss gradient of the strain state.

[0039] In a specific implementation, first, the structural dynamic characteristics of the bridge-building machine are calculated using a modal analysis algorithm combined with the detailed structural parameters (such as component dimensions, material properties, and connection methods) of the target bridge-building machine and boundary conditions. The structural dynamic characteristics include natural frequencies and vibration modes, and reflect the deformation characteristics of the bridge-building machine under a dynamic state. Next, an existing clustering analysis algorithm (such as a K-means clustering algorithm) is used to classify the strains under various static loads in combination with the structural dynamic characteristics. During the clustering process, static loads with similar strain characteristics are classified into the same category based on the change trend of the loss gradient, the position of the strain peak, and the structural dynamic vibration mode, thereby obtaining multiple similar strain clusters. Each similar strain cluster represents the strain mode of the bridge-building machine under a similar mechanical state. Finally, for each similar strain cluster, a principal component analysis algorithm is used to extract the principal component of the strain within the same strain cluster from all the strains within the same strain cluster. The strain shape corresponding to the principal component of the strain is the dominant strain mode under this type of static load, thereby determining the dominant strain mode of the target bridge-building machine under each static load. In other embodiments, other methods can also be used for determination, which is not limited here.

[0040] It should be noted that the dominant strain mode in this application represents the dominant strain distribution mode of the target bridge-building machine under static load, which can be used to accurately identify the main deformation mode of the bridge-building machine under different load conditions.

[0041] In step 104, the displacement data of the target bridge-building machine under each level of static load is monitored, and the displacement data and strain data under each level of static load are coupled and analyzed to obtain the inter-stage coupling residuals between adjacent static loads on the target bridge-building machine.

[0042] In specific implementation, the displacement data of the target bridge-building machine under various levels of static load can be monitored in the following manner, namely: arranging displacement sensors (such as laser displacement sensors) at key positions of the target bridge-building machine, such as the mid-span of the main beam, the two end supports, and the top and bottom of the legs, which are prone to significant displacement. When installing the sensors, it is necessary to ensure that their reference points are firmly connected to the bridge-building machine structure, and that the measurement direction is consistent with the expected displacement direction. During the process of the loading device applying various levels of static load to the bridge-building machine, the data acquisition system collects the signals output by the displacement sensors in real time at a fixed frequency (such as 10 times per second). After each level of load application is completed and the load is maintained stably for 3-5 minutes, the displacement data of each displacement sensor under this level of load is recorded, and the corresponding load level and acquisition time are marked. The displacement data includes a set of multiple displacement values, and the displacement values ​​in the displacement data represent the spatial movement distance of the corresponding positions of each displacement sensor. In other embodiments, other monitoring methods can also be used, which are not limited here.

[0043] In some embodiments, coupling analysis of the displacement data and strain data under each level of static load is performed to obtain the inter-level coupling residuals between adjacent static loads on the target bridge erection machine by using the following steps: Matching and aligning the displacement data and strain data under each level of static load to obtain displacement-strain matching data; Determining coupling characteristics between adjacent static loads on the target bridge erection machine based on the displacement-strain matching data; The inter-stage coupling residuals between adjacent static loads on the target bridge erection machine are determined based on all coupling degree characteristics.

[0044] It should be noted that under static load, the structure is in equilibrium, and the displacement increments and strain increments of adjacent load levels should satisfy the theoretical coupling relationship. The inter-level coupling residual is defined as the degree of deviation from the theoretical coupling relationship of the measured displacement and strain increments, that is, this deviation is quantified by calculating the difference between the measured data.

[0045] In specific implementation, first, the displacement data and strain data under each level of static load are matched and aligned based on the load application sequence combined with a data alignment algorithm (such as a dynamic time warping algorithm), and the results of the matching alignment are used as displacement-strain matching data. For example, the dynamic time warping algorithm calculates the similarity between the two time series, and finds the best matching path for the displacement data and the strain data while allowing the time axis to bend, thereby eliminating the time deviation caused by the sampling frequency difference or the data acquisition delay, thereby obtaining the displacement-strain matching data under each level of static load, wherein the displacement-strain matching data includes a displacement data group and a strain data group, and the displacement-strain matching data represents the data of displacement and strain matching under each level of static load; then, a canonical correlation analysis algorithm is used to combine the displacement data group and the strain data in the displacement-strain matching data. The strain data group calculates the correlation value between adjacent static loads, and uses the correlation value as the coupling degree feature between the corresponding adjacent static loads, wherein the coupling degree feature represents the feature of the degree of correlation between the displacement and strain between adjacent static loads; finally, based on the principle of least squares method and the coupling degree feature under each level of static load, a coupling relationship model between adjacent load levels is constructed, and the coupling degree under each level of adjacent static load is predicted by this coupling relationship model. For each level of adjacent static load, the square sum of the difference between the predicted coupling degree of each level of adjacent static load and the corresponding coupling degree feature is calculated, and all the values ​​obtained by the square sum are normalized, and each value obtained by the normalization is used as the inter-level coupling residual between the corresponding adjacent static loads on the target bridge-building machine; in other embodiments, other methods can also be used for determination, which is not limited here.

[0046] It should be noted that the inter-stage coupling residual in this application represents a quantitative indicator of the degree of deviation between the actual and theoretical coupling relationship between the displacement data and strain data measured by the bridge-building machine under the action of two adjacent static loads, and can be used to evaluate the stability and degree of difference in the displacement and strain coupling relationship when adjacent loads change.

[0047] In step 105, a static stiffness measurement model of the target bridge-building machine is constructed, and the structural stiffness of the target bridge-building machine under each level of static load is determined based on the static stiffness measurement model in combination with all dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

[0048] In specific implementation, the static stiffness measurement model of the target bridge-building machine can be constructed in the following manner, namely: based on the basic principles of material mechanics, structural mechanics and machine learning algorithms, combined with the actual structural parameters of the target bridge-building machine (such as the cross-sectional dimensions of the main beam and support legs, the material elastic modulus, Poisson's ratio), connection methods (welding, bolt connection, etc.) and boundary conditions (support form of support legs), a static stiffness measurement model of the target bridge-building machine is established. At the same time, a correction coefficient is introduced to optimize the static stiffness measurement model. The correction coefficient can be adjusted according to the deviation between the actual measurement data and the theoretical calculation results. Finally, the optimized static stiffness measurement model is used as the static stiffness measurement model of the mechanical behavior of the target bridge-building machine under various levels of static loads, wherein the static stiffness measurement model represents a model of the measured stiffness of the mechanical behavior of the target bridge-building machine under various levels of static loads.

[0049] In some embodiments, the structural stiffness of the target bridge erection machine under each level of static load is determined based on the static stiffness measurement model in combination with all dominant strain modes and the inter-stage coupling residuals between each adjacent static load by using the following steps: Determine the main deformation area and deformation trend of the target bridge-erecting machine based on all dominant strain modes; Determining the coupling relationship coefficient between displacement and strain through the inter-stage coupling residuals between the adjacent static loads; The main deformation area, the deformation trend and the coupling relationship coefficient are input into the static stiffness measurement model, and the structural stiffness of the target bridge-building machine under various levels of static load is output through the static stiffness measurement model.

[0050] In the specific implementation, first, the pattern recognition algorithm is used to identify and analyze all the dominant strain modes to identify the area where the strain distribution of the target bridge-building machine is most concentrated under various static loads, and this area is used as the main deformation area of ​​the target bridge-building machine. At the same time, the deformation trend is judged based on the direction of all the dominant strain modes based on the modal superposition method in the finite element software, such as bending, stretching or shearing; then, the inter-stage coupling residuals, corresponding displacement increments and strain increments under various static loads are sorted out to form a data set containing inter-stage coupling residuals, displacement increments and strain increments, and a linear combination of inter-stage coupling residuals, displacement increments and strain increments is constructed according to a regression analysis model (such as a linear regression model) (i.e., inter-stage coupling residuals = α × displacement increment + β × Strain increment + noise term), where α and β are coupling relationship coefficients to be solved, the least squares method is used to optimize the parameters (α and β) in the linear combination, and the optimized parameters are used as the coupling relationship coefficients of displacement and strain. The coupling relationship coefficient represents the coefficient of the coupling degree between displacement and strain, which can be used to correct the deviation of the displacement-strain theoretical relationship caused by structural nonlinearity and measurement error factors; finally, the main deformation area, deformation trend and coupling relationship coefficient are input as input parameters to the static stiffness measurement model, and the static stiffness measurement model is used to output the structural stiffness of the target bridge-building machine under various levels of static loads, thereby realizing accurate calculation and evaluation of the structural stiffness of the bridge-building machine; in other embodiments, other methods can also be used for determination, which is not limited here.

[0051] In addition, in another aspect of the present application, in some embodiments, the present application provides a bridge erection machine static stiffness measurement device, the bridge erection machine static stiffness measurement device includes a stiffness measurement unit, reference Figure 4 , which is a schematic structural diagram of a stiffness measurement unit according to some embodiments of the present application. The stiffness measurement unit 400 includes: an acquisition module 401, a processing module 402, and an execution module 403, which are described as follows: Acquisition module 401, in this application, acquisition module 401 is mainly used to collect strain data of the target bridge erection machine under various levels of static load based on the sensor network; Processing module 402, in this application, is used to determine the strain contribution of each level of static load to the target bridge erection machine through all strain data; It should be noted that the processing module 402 in the present application is also used to perform a gradient analysis on the strain state of the static load on the target bridge-erecting machine based on all strain contributions and the structural characteristics of the target bridge-erecting machine, obtain the loss gradient of the strain state in the target bridge-erecting machine when the static load increases, and determine the dominant strain mode of the bridge-erecting machine at each level of static load based on the strain loss gradient; In addition, it should be noted that the processing module 402 in the present application is also used to monitor the displacement data of the target bridge erection machine under various levels of static load, perform coupling analysis on the displacement data and strain data under the various levels of static load, and thereby obtain the inter-stage coupling residual between each adjacent static load on the target bridge erection machine; Execution module 403. In this application, execution module 403 is mainly used to construct a static stiffness measurement model of the target bridge-building machine, and determine the structural stiffness of the target bridge-building machine under each level of static load based on the static stiffness measurement model combined with all the dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

[0052] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned bridge-building machine static stiffness measurement method.

[0053] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a bridge erection machine static stiffness measurement method according to some embodiments of the present application. The bridge erection machine static stiffness measurement method in the above embodiment can be achieved by Figure 5 The computer device 500 shown in FIG. 5 is implemented as shown in FIG. 5 . The computer device 500 includes at least one processor 501 , a communication bus 502 , a memory 503 , and at least one communication interface 504 .

[0054] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0055] The communication bus 502 may be used to transmit information between the aforementioned components.

[0056] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CDROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 503 may be independent and connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0057] The memory 503 is used to store program code for executing the solution of the present application, and is controlled by the processor 501. The processor 501 is used to execute the program code stored in the memory 503. The program code may include one or more software modules. The method used in the above embodiment can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0058] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0059] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (singleCPU) processor or a multi-core (multiCPU) processor. The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0060] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0061] In addition, the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the above-mentioned bridge-building machine static stiffness measurement method.

[0062] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0063] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for measuring the static stiffness of a bridge erection machine, wherein: A sensor network is pre-arranged on a target bridge erection machine, and a graded static load is applied to the target bridge erection machine through a loading device. The method is characterized in that it includes the following steps: Based on the sensor network, strain data of the target bridge erection machine under various levels of static load are collected; Determine the strain contribution of each level of static load to the target bridge erection machine through all strain data; Performing a gradient analysis on the strain state of the static load on the target bridge-erecting machine based on all strain contributions and the structural characteristics of the target bridge-erecting machine, obtaining a loss gradient of the strain state in the target bridge-erecting machine when the static load increases, and determining the dominant strain mode of the bridge-erecting machine at each level of static load based on the loss gradient of the strain state; monitoring the displacement data of the target bridge erecting machine under various levels of static loads, performing coupling analysis on the displacement data and strain data under various levels of static loads, and thereby obtaining inter-stage coupling residuals between adjacent static loads on the target bridge erecting machine; A static stiffness measurement model of the target bridge-building machine is constructed, and the structural stiffness of the target bridge-building machine under each level of static load is determined based on the static stiffness measurement model combined with all dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

2. The method according to claim 1, wherein The strain contribution of each level of static load to the target bridge erection machine is determined through all strain data, including: A first-level static load is selected as the selected static load, and the contribution component of the corresponding position of each sensor in the target bridge-erecting machine under the selected static load is determined according to the strain data corresponding to the selected static load; Determine the strain contribution of the selected static load to the target bridge erection machine through all contribution components; Continue to determine the strain contribution of the residual static load to the target bridge-erecting machine.

3. The method according to claim 1, wherein Based on all strain contributions and the structural characteristics of the target bridge-erecting machine, a gradient analysis of the strain state of the static load on the target bridge-erecting machine is performed, and the loss gradient of the strain state in the target bridge-erecting machine when the static load increases is obtained, which specifically includes: Determine the structural characteristics of the target bridge-erecting machine; Determine multiple local strain gradients of static load on the target bridge erection machine based on all strain contributions; The loss gradient of the strain state in the target bridge erection machine during the static load increase is determined by all local strain gradients.

4. The method according to claim 1, wherein Determining the dominant strain modes of the bridge erection machine at each level of static load based on the loss gradient of the strain state specifically includes: Obtain the structural dynamic characteristics of the target bridge-erecting machine; Classifying and analyzing the strains under various levels of static loads according to the loss gradient of the strain state and the structural dynamic characteristics to obtain multiple similar strain clusters; The dominant strain modes of the bridge erection machine under various levels of static load are determined through all similar strain clusters.

5. The method according to claim 1, wherein The displacement data and strain data under the static loads at each level are coupled and analyzed, and the inter-stage coupling residuals between adjacent static loads on the target bridge erection machine are obtained, specifically including: Matching and aligning the displacement data and strain data under each level of static load to obtain displacement-strain matching data; Determining coupling characteristics between adjacent static loads on the target bridge erection machine based on the displacement-strain matching data; The inter-stage coupling residuals between adjacent static loads on the target bridge erection machine are determined based on all coupling degree characteristics.

6. The method according to claim 1, wherein Determining the structural stiffness of the target bridge erecting machine under each level of static load based on the static stiffness measurement model in combination with all dominant strain modes and the inter-stage coupling residuals between each adjacent static load specifically includes: Determine the main deformation area and deformation trend of the target bridge-erecting machine based on all dominant strain modes; Determining the coupling relationship coefficient between displacement and strain through the inter-stage coupling residuals between the adjacent static loads; The main deformation area, the deformation trend and the coupling relationship coefficient are input into the static stiffness measurement model, and the structural stiffness of the target bridge-building machine under various levels of static load is output through the static stiffness measurement model.

7. The method according to claim 1, wherein The displacement data of the target bridge-building machine under various levels of static load are monitored by a laser displacement sensor.

8. A bridge erection machine static stiffness measurement device, the bridge erection machine static stiffness measurement device includes a stiffness measurement unit, characterized in that: The stiffness measurement unit comprises: An acquisition module, configured to acquire strain data of the target bridge erection machine under various levels of static load based on the sensor network; A processing module is used to determine the strain contribution of each level of static load to the target bridge erection machine through all strain data; The processing module is further configured to perform a gradient analysis on the strain state of the static load on the target bridge erection machine based on all strain contributions and the structural characteristics of the target bridge erection machine, obtain a loss gradient of the strain state in the target bridge erection machine when the static load increases, and determine the dominant strain mode of each level of static load on the bridge erection machine based on the loss gradient of the strain state; The processing module is further used to monitor the displacement data of the target bridge erection machine under various levels of static load, perform coupling analysis on the displacement data and strain data under various levels of static load, and thereby obtain the inter-stage coupling residuals between adjacent static loads on the target bridge erection machine; An execution module is used to construct a static stiffness measurement model of the target bridge-building machine, and determine the structural stiffness of the target bridge-building machine under each level of static load based on the static stiffness measurement model combined with all dominant strain modes and the inter-stage coupling residuals between the adjacent static loads.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a code, and the processor is configured to obtain the code and execute the static stiffness measurement method of the bridge erection machine according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the static stiffness measurement method of the bridge erection machine as described in any one of claims 1 to 7 is implemented.

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