Box girder ground pre-assembling support system based on limiting bracket integration

Abstract

The present application relates to the technical field of ground support, especially to a box girder ground pre-assembling support system based on a limiting bracket integration, comprising: determining a discrete slope based on the pressure value of each main beam connection; identifying a discrete anomaly point based on the discrete slope to determine whether to correct the operation of the stable module; determining a deposition state by combining the discrete anomaly point and the anomaly concentration to determine whether to correct the hoisting process; determining an abnormal distribution category by combining the deposition state and the extension tendency value to determine whether to correct the sling length for the current hoisting point. The hoisting stability is effectively improved.

Description

Technical Field

[0001] This invention relates to the field of ground support technology, and in particular to a ground pre-assembly support system for box girders based on a limit bracket integrated system. Background Technology

[0002] Box girders, as a key structural form in modern bridge engineering, have been widely used in urban bridge construction due to their significant advantages such as light weight, high rigidity, and high construction efficiency. Domestic box girder prefabrication and support systems are a core technology that has developed alongside the transformation of bridge construction from "on-site casting" to a modern industrialized model of "factory prefabrication and on-site assembly." As a crucial link between "factory manufacturing" and "on-site assembly," it covers the entire process from beam yard construction to segmental assembly.

[0003] Chinese Patent Publication No. CN120797556A discloses a method for assembling steel box girder segments for a cross-street landscape corridor bridge, and the steel box girder segments themselves. The assembly method includes: decomposing the steel box girder segments into box units, support units, and decorative units based on a BIM platform model; prefabricating the box units, support units, decorative units, and servo hydraulic tie rods, and pre-assembling them; setting up a linear jig at the prefabrication plant, establishing a three-dimensional coordinate control network using a total station, and temporarily tightening and fixing the two steel box girder segments using servo hydraulic tie rods; first, erecting the middle steel box girder segment onto the bridge pier, and then assembling it by connecting it to both ends; pulling the adjacent two steel box girder segments together using servo hydraulic tie rods; welding the joints after splicing; and after removing the servo hydraulic tie rods, installing the decorative units on the outer walls of the box units in their original positions.

[0004] It is evident that the above technical solution has the following problems: it fails to consider dynamically adjusting the hoisting parameters based on the abnormal stress distribution of the main beam under real-time monitoring, thus affecting the hoisting stability. Summary of the Invention

[0005] To address this issue, the present invention provides a ground pre-assembly support system for box girders based on a limit bracket integration, which overcomes the problem in the prior art that does not consider dynamically adjusting hoisting parameters according to the abnormal stress distribution of the main beam under real-time monitoring, thus affecting hoisting stability.

[0006] To achieve the above objectives, the present invention provides a ground pre-assembly support system for box girders based on a limit bracket integration, comprising: The stabilization module includes several hydraulic damping cylinders located at the lower end of the main beam to attenuate hoisting vibrations. The data acquisition module includes several pressure sensors installed at the main beam connection to acquire pressure values. The hoisting monitoring module is connected to the stabilization module and the acquisition module respectively, and is used to identify discrete anomaly points based on discrete slope and anomaly duration, so as to correct the operation of the stabilization module based on the discrete anomaly points. A diffusion identification module, which is connected to the acquisition module and the hoisting monitoring module respectively, is used to determine the deposition state by combining discrete anomaly points and anomaly concentration, so as to determine whether to correct the hoisting process; A linear analysis module, which is connected to the acquisition module and the diffusion identification module respectively, is used to determine the abnormal distribution category by combining the deposition state and the extension tendency value, so as to determine whether to correct the sling length for the current hoisting point.

[0007] Furthermore, the stabilization module also includes; The gantry support unit includes steel pipe piers and double-section steel main beams to provide a load-bearing foundation; The ground-mounted assembly support frame includes a bottom rigid platform composed of steel brackets and distribution beams, and a full-span support erected on the distribution beams. The bottom of each upright of the full-span support is connected to the distribution beams through limiting top brackets.

[0008] Furthermore, the hoisting monitoring module includes: The data processing subunit is used to determine the abnormal discrete values ​​based on the pressure values ​​of each monitoring point within the interference range centered on the hoisting point, so as to determine the discrete slope of each time node in the time domain curve of the abnormal discrete values.

[0009] Furthermore, the hoisting monitoring module also includes: The discrete anomaly sub-unit is used to determine the current time node as the discrete anomaly point under the conditions that the discrete slope is greater than the preset discrete slope and the anomaly duration is greater than the preset anomaly duration.

[0010] Furthermore, the hoisting monitoring module also includes: The stabilization and correction subunit is used to complete the operation of the stabilization and correction module under the condition of identifying discrete anomaly points; among them, the increase in hydraulic damping corresponding to each abnormal main beam is positively correlated with the discrete slope of the discrete anomaly point.

[0011] Furthermore, the diffusion identification module includes: The anomaly statistics subunit is used to determine the anomaly concentration based on the number of main beams in each abnormal main beam cluster, provided that the hoisting monitoring module has completed the identification of discrete anomaly points. A single abnormal main beam cluster includes several abnormal main beams with adjacent installation positions.

[0012] Furthermore, the diffusion identification module also includes: The sedimentation state identification sub-unit is used to identify the corresponding main region of anomaly as a latent sedimentation state when the anomaly concentration is greater than the preset concentration, and to determine the correction hoisting process.

[0013] Furthermore, the diffusion identification module also includes: The hoisting control subunit is used to correct the hoisting process, and the reduction in the hoisting process is positively correlated with the anomaly concentration.

[0014] Furthermore, the linear analysis module includes: The extension tendency value calculation sub-unit is used to determine the latent deposition state in the main anomaly region, and determines the extension tendency value based on the position of each anomalous main beam in the main anomaly region.

[0015] Furthermore, the linear analysis module also includes: The distribution identification sub-unit is used to determine that each abnormal main beam is a linear abnormal distribution category when the extension tendency value is greater than the preset extension tendency value, and to determine the correction sling length for the current hoisting point.

[0016] Furthermore, the linear analysis module also includes: The sling correction subunit is used to correct the sling length at the current lifting point based on the pressure imbalance. The reduction in the sling length at the imbalance end is positively correlated with the pressure imbalance.

[0017] Compared with the prior art, the beneficial effects of the present invention are that it identifies the situation where the stability of the support frame is weakened due to different degrees of anomalies at each monitoring point of the support frame by discrete slope and abnormal duration, effectively avoids the situation of short-term interference caused by the external environment by quantifying the duration of abnormality, effectively quantifies the actual abnormal situation of the hoisting support, adjusts the hydraulic damping of the corresponding abnormal main beam when there are obvious different degrees of anomalies at each monitoring point, and improves the stability of the ground pre-assembled support frame by correcting the control parameters of the abnormal main beam by the stabilization module before the hoisting support frame shows obvious shaking.

[0018] Furthermore, upon identifying discrete anomaly points, the continuous coverage of the abnormal main beam is determined based on the anomaly concentration to identify and address large-area anomalies, preventing the impact of large-area stress on the overall support strength of the hoisting support frame. In actual hoisting processes, deviations in hoisting parameters can lead to several small-scale, normal discrete anomalies. This solution only corrects the hoisting process for large-area anomalies caused by support frame instability. By reducing hoisting acceleration and optimizing the load transfer path, it effectively suppresses vibrations and localized overloads caused by structural anomalies in the hoisting support frame, preventing chain-like damage propagation and significantly improving the stability and safety of the entire hoisting process.

[0019] Furthermore, by determining the quantitative extension tendency value of the projected circumscribed rectangle of the main abnormal region, the abnormal distribution category of the abnormal main beam is analyzed. When it is determined that the distribution of the abnormal main beam shows obvious linear extension, the force applied to the box girder by the slings on both sides is changed by adjusting the length of the slings, thereby balancing the unbalanced compression of the abnormal main beam and the stress of the abnormal main beam, so as to achieve the stability of the lifting support frame during the lifting of the box girder, and improve the accuracy and safety of subsequent installation. Attached Figure Description

[0020] Figure 1 This is a block diagram of a ground pre-assembly support system for box girders based on a limit bracket integrated according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the steps of the ground pre-assembly support method for box girders based on a limit bracket integrated according to an embodiment of the present invention. Figure 3 This is a logic diagram for determining the deposition state based on the anomaly concentration in an embodiment of the present invention; Figure 4 This is a logic diagram for determining the abnormal distribution category based on the extension tendency value in an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0022] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0023] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0024] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0025] Please see Figure 1 As shown, it is a modular block diagram of a box girder ground pre-assembly support system based on a limiting bracket integrated according to an embodiment of the present invention. The system of the present invention includes: The stabilization module includes several hydraulic damping cylinders located at the lower end of the main beam to attenuate hoisting vibrations. The data acquisition module includes several pressure sensors installed at the main beam connection to acquire pressure values; wherein, all pressure sensors are located on the same horizontal plane. The hoisting monitoring module is connected to the stabilization module and the acquisition module respectively, and is used to identify discrete anomaly points based on discrete slope and anomaly duration, so as to correct the operation of the stabilization module based on the discrete anomaly points. A diffusion identification module, which is connected to the acquisition module and the hoisting monitoring module respectively, is used to determine the deposition state by combining discrete anomaly points and anomaly concentration, so as to determine whether to correct the hoisting process; wherein, the hoisting process is the hoisting acceleration during the hoisting of the box girder; A linear analysis module, which is connected to the acquisition module and the diffusion identification module respectively, is used to determine the abnormal distribution category by combining the deposition state and the extension tendency value, so as to determine whether to correct the sling length for the current hoisting point.

[0026] Please see Figure 2 The diagram shown is a flowchart illustrating the steps of a ground pre-assembly support method for box girders based on a limit bracket integrated according to an embodiment of the present invention. The method of the present invention includes: S1, the discrete slope is determined based on the pressure value of each main beam connection; S2 identifies discrete anomaly points based on discrete slope to determine whether to correct the operation of the stable module; S3, combining discrete anomaly points and anomaly concentration to determine the deposition state, in order to determine whether to correct the hoisting process; S4. Combine the sedimentation state and extension tendency value to determine the abnormal distribution category, so as to determine whether to correct the sling length for the current hoisting point.

[0027] In this embodiment, a gantry support unit is pre-installed on the bridge piers for beam erection; the gantry support unit consists of steel pipe pier columns and double-section steel main beams to provide a load-bearing foundation for subsequent construction. The ground assembly support frame consists of a steel bracket and a distribution beam forming a rigid platform at the bottom, and then a full-span support frame is erected on the distribution beam. The bottom of each upright of the support frame is connected to the distribution beam through a limiting top bracket. The work of completing box girder segments on the combined support frame includes laying the bottom formwork, tying the reinforcing bars, accurately positioning the prestressed ducts, erecting the side formwork, pouring concrete and curing. After the concrete reaches its strength, a crane is used to lift the combined support frame and the entire box girder and place them on the main beam of the portal frame support unit. After installation, the combined support frame is removed from the bottom of the box girder, moved to the ground and reassembled for use in the construction of the next box girder segment; The gantry support unit slides forward to provide support for the next segment of the box girder.

[0028] Specifically, the hoisting monitoring module includes: The data processing subunit determines abnormal discrete values ​​based on the pressure values ​​of each monitoring point within the interference range centered on the hoisting point. This determines the discrete slope of each time node in the time-domain curve of the abnormal discrete values. The abnormal discrete values ​​characterize the uniformity of the influence of external force interference on each monitoring point; the larger the abnormal discrete value, the more dispersed the abnormal force at each monitoring point, and the worse the stability of the hoisting support. The discrete slope quantifies the variation of uneven force at each monitoring point; the larger the discrete slope, the more significant the abrupt changes at each monitoring point within the interference range centered on the hoisting point.

[0029] In a single embodiment, the predicted pressure values ​​of each monitoring point in the hoisting support frame, centered on the hoisting point and with a preset interference range as the radius, are determined. The hoisting point is the point of maximum stress on the hoisting support frame during the current hoisting process, and the monitoring point is the location where pressure sensors are installed. The predicted pressure values ​​of each monitoring point can be determined based on the mass, volume, hoisting acceleration of the current hoisted box girder, and the straight-line distance between a single monitoring point and the support point. Specifically, this can be determined using finite element analysis. Using engineering simulation software, a three-dimensional model of the box girder and the hoisting support frame is established. The mass of the box girder, hoisting acceleration, and geometric positional relationship are used as inputs. Through finite element calculations, detailed stress and pressure distribution diagrams of each monitoring point on the hoisting support frame under various working conditions are obtained.

[0030] The pressure difference value of each monitoring point is determined based on the difference between the actual pressure value and the predicted pressure value. The pressure difference value is used to characterize the difference between each monitoring point under external force interference and the predicted standard condition. The larger the pressure difference value, the more significant the abnormal condition of the corresponding monitoring point. The variance of each pressure difference value is calculated to obtain the abnormal discrete values; For each abnormal discrete value at a single hoisting point, a time-domain curve of the abnormal discrete value is plotted to determine the discrete slope of each time node in the time-domain curve of the abnormal discrete value.

[0031] Specifically, the hoisting monitoring module also includes: The discrete anomaly sub-unit is used to determine the current time node as the discrete anomaly point when the discrete slope is greater than a preset discrete slope and the anomaly duration is greater than a preset anomaly duration. The anomaly duration is the length of time the discrete slope remains greater than a preset stable slope. The anomaly duration characterizes the duration of the abnormal change in the hoisting support frame; the longer the anomaly duration, the more significant the hoisting instability caused by the structural abnormality of the hoisting support frame.

[0032] In a single embodiment, the preset discrete slope can be experimentally established by creating several scaled-down models, determining the time-domain curves of abnormal discrete values ​​under pressure for each scaled-down model, and identifying the discrete slope of each abnormal collapse scaled-down model at the time point before swaying. The minimum value among these discrete slopes is then determined as the preset discrete slope. The preset abnormal duration can be determined by constructing scaled-down models, applying pressure to the scaled-down models until damage occurs, recording pressure data, and calculating the discrete slope. The duration of a single damage event is determined from the moment the discrete slope first exceeds the preset stable slope until the occurrence of irreversible structural abnormality. The minimum value among the calculated damage durations of each scaled-down model is then determined as the preset abnormal duration. The preset stable slope is determined by analyzing stable hoisting data, obtaining several discrete slopes during the smooth hoisting process, obtaining a stable slope sample, and calculating the mean of the stable slope sample as the preset stable slope.

[0033] Specifically, the hoisting monitoring module also includes: The stabilization and correction subunit is used to correct the operation of the stabilization module under the condition of identifying discrete anomaly points. The increase in hydraulic damping corresponding to each abnormal main beam is positively correlated with the discrete slope of the discrete anomaly point. The larger the discrete slope of the discrete anomaly point, the greater the difference in the degree of anomaly among the support points of the hoisting support frame, and the worse the stability of the hoisting support frame. The greater the increase in hydraulic damping, the greater the stability boost to each abnormal main beam.

[0034] In a single embodiment, the abnormal main girder is a main girder whose pressure difference value is greater than a preset pressure difference value. The preset pressure difference value can be determined by taking the sum of the mean of the pressure difference values ​​and the tolerance standard deviation under normal operating conditions, where the tolerance standard deviation is three times the standard deviation of the pressure difference values.

[0035] In this embodiment, the stability of the support frame is weakened due to varying degrees of anomalies at different monitoring points by using discrete slope and anomaly duration. By quantifying the duration of anomalies, the temporary interference caused by the external environment is effectively avoided. The actual anomalies of the hoisting support are effectively quantified. When significant anomalies occur at different monitoring points, the hydraulic damping of the corresponding abnormal main beam is adjusted. Before the hoisting support frame exhibits obvious swaying, the control parameters of the abnormal main beam by the stabilization module are corrected, thereby improving the stability of the ground pre-assembled support frame.

[0036] Specifically, the diffusion identification module includes: The anomaly statistics subunit is used to determine the anomaly concentration degree based on the number of main beams in each anomalous main beam cluster, provided that the hoisting monitoring module has identified discrete anomaly points. Each anomalous main beam cluster includes several anomalous main beams located adjacent to each other. The anomaly concentration degree is the maximum number of main beams in each anomalous main beam cluster, representing the degree of dense coverage of the anomaly range. A higher anomaly concentration degree corresponds to a larger anomaly coverage area for each anomalous main beam, indicating a more concentrated concentration of anomalous main beams and a greater impact on the overall support strength of the hoisting support frame.

[0037] Please see Figure 3 As shown, this is a logic diagram for determining the deposition state based on the anomaly concentration in an embodiment of the present invention. The diffusion identification module of the present invention further includes: The sedimentary state identification subunit is used to identify the corresponding main anomalous region as a latent sedimentary state when the anomalous concentration is greater than a preset concentration, and to determine the corrected hoisting process. The latent sedimentary state corresponds to a large-area anomaly under applied pressure. In this case, the hoisting process is corrected to reduce the impact of external pressure on the region.

[0038] In a single embodiment, if the anomaly concentration is less than or equal to a preset concentration, the corresponding main anomaly region is determined to be in a non-depositional state, and the current lifting parameters are used continuously for lifting. In a single embodiment, the preset concentration can be determined through experimental analysis. Several proportionally scaled-down models are established, and the experiments are conducted on a plane with the same soil as the actual lifting work. Multiple tests are performed to determine the abnormal concentration reached when land deposition occurs, and the average value of the abnormal concentration is used as a threshold.

[0039] The main region of anomaly is the area covered by each abnormal main beam in the cluster of significantly abnormal main beams. The cluster of significantly abnormal main beams is the cluster of abnormal main beams corresponding to the maximum number of main beams.

[0040] Specifically, the diffusion identification module further includes: The hoisting control subunit is used to correct the hoisting process. The reduction in the hoisting process is positively correlated with the anomaly concentration. The greater the anomaly concentration, the more it indicates that the abnormal main beam has formed a continuous, large-area coverage area, rather than a scattered, isolated distribution, and the more unstable the hoisting is. The smaller the hoisting acceleration, the smoother the hoisting process. The hoisting process is defined as the hoisting acceleration.

[0041] In this embodiment, when discrete anomaly points are identified, the continuous coverage of the abnormal main beam is determined based on the anomaly concentration to identify and process large-area anomalies, avoiding the impact of large-area stress on the overall support strength of the hoisting support frame. In actual hoisting processes, deviations in hoisting parameters can lead to several small-scale, normal discrete anomalies. This solution only corrects the hoisting process for large-area anomalies caused by instability in the support frame. By reducing hoisting acceleration and optimizing the load transfer path, it effectively suppresses vibrations and local overloads caused by structural anomalies in the hoisting support frame, preventing chain-like damage propagation and significantly improving the stability and safety of the entire hoisting process.

[0042] Specifically, the linear analysis module includes: The extension tendency value calculation sub-unit is used to determine the latent deposition state in the main anomaly region, and determines the extension tendency value based on the position of each anomalous main beam within the main anomaly region. The extension tendency value characterizes the degree of linear extension of the anomalous main beam; the larger the extension tendency value, the more obvious the linear extension trend of the anomalous main beam. In a single embodiment, the projected bounding rectangle of the main anomaly region is determined, and the aspect ratio of the determined projected bounding rectangle is used to determine the extension tendency value.

[0043] Please see Figure 4 As shown, this is a logic decision diagram for determining the abnormal distribution category based on the extension tendency value in an embodiment of the present invention. The linear analysis module of the present invention further includes: The distribution identification subunit is used to determine that each abnormal main girder belongs to the linear abnormal distribution category when the extension tendency value is greater than the preset extension tendency value, and to determine the correct sling length for the current lifting point. When the extension tendency value is less than or equal to the preset extension tendency value, each abnormal main girder is determined to belong to the regional abnormal distribution category, and the current lifting parameters are used to complete the lifting of each box girder. By identifying the linear trend of each abnormal main girder within the main abnormal region, it is determined whether the lifting support frame is tilted, causing each part of the main girder to be linearly affected.

[0044] Specifically, the linear analysis module further includes: The sling correction subunit is used to correct the sling length at the current lifting point based on the pressure imbalance. The reduction in the sling length at the imbalance end is positively correlated with the pressure imbalance.

[0045] The pressure loss measure is the difference in pressure between the two main beams marked with abnormality, located at the two ends of the longest chord passing through the centroid of the main abnormal region. The pressure loss measure characterizes the deviation caused by uneven lifting under linear extension during the hoisting process. A larger pressure loss measure indicates a more significant stress imbalance caused by the instability of the hoisting support frame. The greater the reduction in the length of the sling corresponding to the unbalanced end, the less pressure is applied to the unbalanced end during hoisting. Adjusting the hoisting ropes reduces the pressure on the unbalanced end to balance the uneven stress caused by the deviation of the hoisting support. The unbalanced end is the main beam with the larger pressure difference between the two marked abnormal beams. The sling corresponding to the unbalanced end is the single rope with the shortest straight-line distance to the unbalanced end.

[0046] In this embodiment, after determining the quantitative extension tendency value of the projected circumscribed rectangle of the main abnormal region, the abnormal distribution category of the abnormal main beam is analyzed. When it is determined that the distribution of the abnormal main beam shows obvious linear extension, the force applied to the box girder by the slings on both sides is changed by adjusting the length of the slings, thereby balancing the unbalanced compression of the abnormal main beam and the stress of the abnormal main beam, so as to achieve the stability of the lifting support frame during the lifting of the box girder, and improve the accuracy and safety of subsequent installation.

[0047] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0048] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A ground pre-assembly support system for box girders based on a limit bracket integration, characterized in that, include: The stabilization module includes several hydraulic damping cylinders located at the lower end of the main beam to attenuate hoisting vibrations. The data acquisition module includes several pressure sensors installed at the main beam connection to acquire pressure values. The hoisting monitoring module is used to identify discrete anomaly points based on discrete slope and anomaly duration, and to correct and stabilize the operation of the module based on the discrete anomaly points. The diffusion identification module is used to combine discrete anomaly points and anomaly concentration to determine the deposition state in order to determine whether to correct the hoisting process; The linear analysis module combines sedimentation state and extension tendency values ​​to determine the category of anomalies, in order to determine whether to correct the sling length for the current hoisting point.

2. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 1, Its features are, The stabilization module also includes; The gantry support unit includes steel pipe piers and double-section steel main beams to provide a load-bearing foundation; The ground-mounted assembly support frame includes a bottom rigid platform composed of steel brackets and distribution beams, and a full-span support erected on the distribution beams. The bottom of each upright of the full-span support is connected to the distribution beams through limiting top brackets.

3. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 2, Its features are, The hoisting monitoring module includes: The data processing subunit is used to determine the abnormal discrete values ​​based on the pressure values ​​of each monitoring point within the interference range centered on the hoisting point, so as to determine the discrete slope of each time node in the time domain curve of the abnormal discrete values. The discrete anomaly sub-unit is used to determine the current time node as the discrete anomaly point under the conditions that the discrete slope is greater than the preset discrete slope and the anomaly duration is greater than the preset anomaly duration.

4. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 3, Its features are, The hoisting monitoring module also includes: The stabilization and correction subunit is used to correct the operation of the stabilization module under the condition of identifying discrete anomaly points; among them, the increase in hydraulic damping corresponding to each abnormal main beam is positively correlated with the discrete slope of the discrete anomaly point.

5. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 4, Its features are, The diffusion identification module includes: The anomaly statistics subunit is used to determine the anomaly concentration based on the number of main beams in each abnormal main beam cluster, provided that the hoisting monitoring module has completed the identification of discrete anomaly points. A single abnormal main beam cluster includes several abnormal main beams with adjacent installation positions.

6. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 5, Its features are, The diffusion identification module further includes: The sedimentation state identification sub-unit is used to identify the corresponding main region of anomaly as a latent sedimentation state when the anomaly concentration is greater than the preset concentration, and to determine the correction hoisting process.

7. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 6, Its features are, The diffusion identification module further includes: The hoisting control subunit is used to correct the hoisting process, and the reduction in the hoisting process is positively correlated with the anomaly concentration.

8. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 7, Its features are, The linear analysis module includes: The extension tendency value calculation sub-unit is used to determine the latent deposition state in the main anomaly region, and determines the extension tendency value based on the position of each anomalous main beam in the main anomaly region.

9. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 8, Its features are, The linear analysis module further includes: The distribution identification sub-unit is used to determine that each abnormal main beam is a linear abnormal distribution category when the extension tendency value is greater than the preset extension tendency value, and to determine the correction sling length for the current hoisting point.

10. The box girder ground pre-assembly support system based on limit bracket integration as described in claim 9, Its features are, The linear analysis module further includes: The sling correction subunit is used to correct the sling length at the current lifting point based on the pressure imbalance. The reduction in the sling length at the imbalance end is positively correlated with the pressure imbalance.

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