Construction management method of large-span steel box girder integral top-pushing line based on BIM technology

Abstract

The present invention relates to a construction management method for a large-span steel box girder integral joint top-pushing line type based on BIM technology, and relates to the field of construction management, including: randomly configuring a first support point position sequence and a first top-pushing rate through a control parameter configuration module; constructing a top-pushing area BIM scene model based on these; modeling and meshing the large-span steel box girder integral joint; performing simulated top-pushing in the BIM scene model to obtain force time series information of each integral steel box girder; performing posture prediction to obtain posture time series information; constructing a first predicted top-pushing line type trajectory; and when it is consistent with the conceptual trajectory, top-pushing construction is performed according to the configured parameters. By performing three-dimensional mesh segmentation of the material of the large-span steel box girder integral joint BIM model, and performing force analysis in units of grids, the accuracy of the force analysis is improved, and then the accuracy of the posture analysis results is improved, and the technical effect of optimizing the safety of the large-span steel box girder integral joint top-pushing construction is achieved.

Description

Technical Field

[0001] The present invention relates to the field of construction management, and in particular to a construction management method for a large-span steel box girder integral joint top-pushing line based on BIM technology. Background Art

[0002] The whole-unit jacking method is often used in the construction process of large-span steel box girders. In order to ensure the safety and reliability of the whole-unit jacking construction of large-span steel box girders, BIM technology is used to simulate and analyze the jacking process. However, the BIM simulation in the prior art mainly analyzes the force of the steel box girder as a whole, and does not perform fine spatial position division and grid processing on the materials of the steel box girder, resulting in insufficient accuracy of the force analysis, which in turn affects the accuracy of the subsequent posture analysis results. Specifically, the BIM simulation process in the prior art simplifies the steel box girder into an integral structure, only considers the overall force situation, and ignores the differences in stress distribution borne by different positions and materials inside the steel box girder. During the jacking process of the steel box girder, due to the effects of its own weight, support conditions and jacking force, the materials at different positions inside the steel box girder will be subjected to different stress states. Ignoring these local stress distribution differences will lead to deviations between the force analysis results and the actual situation. Due to the lack of force analysis accuracy, it is also difficult to obtain accurate results for subsequent posture analysis. The posture changes of the steel box girder during the jacking process, such as lateral offset and longitudinal deformation, are closely related to its stress state. If there are errors in the force analysis, the posture changes of the steel box girder cannot be accurately predicted, which in turn affects the safety and reliability of the jacking construction. Summary of the invention

[0003] The present invention aims to solve the technical problem that in the prior art, during the integral jacking construction of large-span steel box girders, the BIM simulation process lacks grid division and refined force analysis of steel box girder materials, resulting in insufficient accuracy of posture analysis. A linear construction management method for integral jacking of large-span steel box girders based on BIM technology is provided to solve the problem.

[0004] The technical solution of the present invention to solve the above technical problems is as follows:

[0005] In a first aspect, the present invention provides a method for construction management of an integral jacking line of a large-span steel box girder based on BIM technology, comprising: randomly configuring a first support point position sequence and a first jacking rate through a control parameter configuration module; constructing a jacking area BIM scene model based on the first support point position sequence and the first jacking rate, wherein the jacking area BIM scene model has a conceptual jacking line trajectory; modeling the integral large-span steel box girder to obtain an integral large-span steel box girder BIM model; performing material three-dimensional mesh segmentation on the integral large-span steel box girder BIM model to obtain an integral large-span steel box girder BIM mesh model; performing BIM simulation jacking on the integral large-span steel box girder BIM mesh model in the jacking area BIM scene model to obtain a force time sequence of the first integral steel box girder. information, the stress timing information of the second whole steel box girder until the stress timing information of the Nth whole steel box girder; perform posture prediction of the whole steel box girder according to the stress timing information of the first whole steel box girder, the stress timing information of the second whole steel box girder until the stress timing information of the Nth whole steel box girder, and obtain the posture timing information of the first whole steel box girder, the posture timing information of the second whole steel box girder until the posture timing information of the Nth whole steel box girder; construct a first predicted jacking linear trajectory according to the posture timing information of the first whole steel box girder, the posture timing information of the second whole steel box girder until the posture timing information of the Nth whole steel box girder; when the first predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the whole large-span steel box girder according to the first support point position sequence and the first jacking rate.

[0006] In a second aspect, the present application provides an electronic device, comprising: a processor; a memory for storing executable instructions of the processor; wherein the processor is used to execute the BIM technology-based large-span steel box girder integral jacking line construction management method provided in the present application.

[0007] On the third aspect, the present application provides a computer-readable storage medium storing a computer program, which is used to execute the BIM technology-based large-span steel box girder integral top-pushing linear construction management method provided by the present application.

[0008] The beneficial effects of the present invention are:

[0009] By controlling the parameter configuration module, the first support point position sequence and the first jacking speed are randomly configured, which provides the initial conditions for the subsequent BIM simulation and determines the position distribution of the support points and the setting of the jacking speed; based on the first support point position sequence and the first jacking speed, a BIM scene model of the jacking area is constructed, which includes the conceptual jacking linear trajectory, and a virtual scene of jacking construction is established, which provides a basic platform for subsequent simulation analysis; the large-span steel box girder is modeled as a whole to obtain the large-span steel box girder integrated BIM model, and the actual steel box girder structure is converted into a digital model to prepare for refined analysis; on this basis, the large-span steel box girder integrated BIM model is segmented into three-dimensional meshes to obtain the large-span steel box girder integrated BIM mesh model, and the steel box girder model is discretized through mesh division, laying the foundation for the subsequent refined force analysis; the large-span steel box girder integrated BIM mesh model is subjected to BIM simulation jacking in the jacking area BIM scene model to obtain the force sequence of the first whole steel box girder The force sequence information of the first and second integrated steel box girders is obtained, and the force sequence information of the second integrated steel box girders is obtained, and the force sequence information of the Nth integrated steel box girders is obtained. Through simulation of jacking, the force information of the steel box girders at different times and positions during the jacking process is obtained, and a refined force analysis is realized. According to the obtained force sequence information, the posture of the integrated steel box girders is predicted, and the posture sequence information of the first integrated steel box girders, the posture sequence information of the second integrated steel box girders, and the posture sequence information of the Nth integrated steel box girders is obtained. Through posture prediction, the posture change of the steel box girders during the jacking process is estimated. , providing a basis for optimizing the jacking construction; according to the time series information of the posture of the entire steel box girder, the first predicted jacking line type trajectory is constructed, and the predicted jacking line type is generated for comparison with the conceptual jacking line type; when the first predicted jacking line type trajectory is consistent with the conceptual jacking line type trajectory, the entire large-span steel box girder is jacked according to the first support point position sequence and the first jacking rate. By comparing the consistency of the predicted trajectory with the conceptual trajectory, the feasibility and optimization of the jacking construction plan are ensured, and the safety and reliability of the jacking construction are guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A schematic diagram of the flow of the large-span steel box girder integral top-pushing line construction management method based on BIM technology provided by the present invention;

[0011] Figure 2 A schematic diagram of the structure of an electronic device provided by the present invention;

[0012] Figure 3 A schematic diagram of the structure of a computer-readable storage medium provided by the present invention.

[0013] In the accompanying drawings, the components represented by the reference numerals are listed as follows:

[0014] Electronic device 100 , memory 110 , processor 120 , computer program 111 , computer readable storage medium 200 , computer program 211 . DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0016] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0017] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0018] Embodiment 1:

[0019] like Figure 1 As shown, the embodiment of the present invention provides a construction management method for a large-span steel box girder integral top-pushing line based on BIM technology, including:

[0020] Step S100: randomly configuring a first support point position sequence and a first pushing rate through a control parameter configuration module.

[0021] Specifically, the control parameter configuration module is used to generate and optimize the control parameters in the process of top-pushing construction, which is implemented in the form of a computer program and runs on a computer hardware platform. In order to realize the configuration of parameters, the control parameter configuration module adopts a random number generation algorithm to randomly generate a set of support point position sequences and top-pushing rates under preset constraints, which are recorded as the first support point position sequence and the first top-pushing rate. Among them, the constraints include the top-pushing rate range, support point layout area, number, spacing, etc., which are pre-set according to the structural characteristics of the steel box girder and the construction process requirements.

[0022] Through random configuration, a variety of different construction plans can be generated, providing more alternatives for subsequent plan screening and optimization, improving the efficiency of construction plan formulation, and laying the foundation for subsequent BIM modeling and simulation analysis.

[0023] Step S200: Based on the first support point position sequence and the first jacking rate, construct a jacking area BIM scene model, wherein the jacking area BIM scene model has a conceptual jacking linear trajectory.

[0024] Specifically, the first support point position sequence and the first jacking rate are used to construct a BIM scene model of the jacking area. This model is a digital expression of the actual construction environment, which includes three-dimensional geometric information and attribute information of elements such as topography, support point layout, and jacking channels.

[0025] First, based on the surveying and mapping data of the construction site, a three-dimensional terrain model of the construction area is established as the basis for the BIM scene model of the jacking area. Then, the generated first support point position sequence is imported into the model, and a three-dimensional solid model of the support point is generated at the corresponding position, and attribute information such as material and size is attached. Next, based on the first jacking rate and the predetermined jacking path of the steel box girder, a corresponding jacking channel is generated in the BIM scene model to guide the subsequent jacking simulation of the steel box girder model. The channel consists of a series of line segments in contact with the support points, simulating the motion trajectory of the steel box girder under multi-point support, which is called the conceptual jacking linear trajectory.

[0026] Through BIM technology, the randomly generated construction control parameters are expressed visually, and a digital model that is highly consistent with the actual construction environment is constructed, laying the foundation for subsequent simulation analysis and construction optimization analysis.

[0027] Step S300: Modeling the entire long-span steel box girder to obtain an integrated BIM model of the long-span steel box girder.

[0028] Specifically, BIM modeling is performed on the large-span steel box girder that actually participates in the top-pushing construction. Among them, the large-span steel box girder is an integral structure formed by on-site assembly of the first steel box girder, the second steel box girder, and the Nth steel box girder. In order to accurately evaluate the stress and deformation performance of each integrated steel box girder in the subsequent simulation analysis, a high-precision BIM model corresponding to it is constructed. In the modeling process, first, the control parameters of each integrated steel box girder, such as span, height, width and other key dimensions, are determined according to the design drawings. Then, the parametric component library provided by the BIM software is used to generate three-dimensional models of the main components (such as top plate, bottom plate, web plate, etc.) of the first integrated steel box girder, the second integrated steel box girder, and the Nth integrated steel box girder. Next, the components of each integral steel box girder are assembled, longitudinal and transverse stiffening ribs are added, and corresponding constraints are applied to form the first integral steel box girder BIM model, the second integral steel box girder BIM model, and so on until the Nth integral steel box girder BIM model, thus constituting the integral BIM model of the large-span steel box girder.

[0029] Through BIM technology, three-dimensional modeling of the entire large-span steel box girder is carried out, which provides a reliable foundation for subsequent jacking simulation and construction management, thereby improving the efficiency of construction management.

[0030] Step S400: performing material three-dimensional mesh segmentation on the integrated BIM model of the large-span steel box girder to obtain an integrated BIM mesh model of the large-span steel box girder.

[0031] Specifically, on the basis of the first integrated steel box girder BIM model, the second integrated steel box girder BIM model, and the Nth integrated steel box girder BIM model, each integrated steel box girder BIM model is meshed and discretized into a finite number of regular grid units. Specifically, considering the structural characteristics, force distribution, and calculation efficiency of each integrated steel box girder, a hexahedral grid is used to divide it. By controlling the grid density, the calculation accuracy is guaranteed while the analysis speed is taken into account. After meshing, the first integrated steel box girder BIM model is converted into the first integrated steel box girder grid model, the second integrated steel box girder BIM model is converted into the second integrated steel box girder grid model, and so on, until the Nth integrated steel box girder BIM model is converted into the Nth integrated steel box girder grid model, laying the foundation for the subsequent top push force analysis. Afterwards, the first integrated steel box girder grid model, the second integrated steel box girder grid model, and the Nth integrated steel box girder grid model are assembled according to the actual assembly position to form a large-span steel box girder integrated BIM grid model.

[0032] Through meshing, the BIM model of the entire steel box girder was improved, allowing it to transition from a geometric model to an analytical model, providing data support for the realization of refined jacking construction simulation.

[0033] Step S500: The integrated BIM grid model of the large-span steel box girder is subjected to BIM simulation jacking in the BIM scene model of the jacking area to obtain the stress timing information of the first integrated steel box girder, the stress timing information of the second integrated steel box girder, and so on until the stress timing information of the Nth integrated steel box girder.

[0034] Specifically, the constructed large-span steel box girder integrated BIM grid model is used to simulate the jacking process in the jacking area BIM scene model, so as to obtain the data of the stress state of each integrated steel box girder changing with time during the jacking process, that is, the stress timing information of the first integrated steel box girder, the stress timing information of the second integrated steel box girder, and the stress timing information of the Nth integrated steel box girder. Specifically, first, the obtained large-span steel box girder integrated BIM grid model, including the first integrated steel box girder grid model, the second integrated steel box girder grid model, and the Nth integrated steel box girder grid model, is imported into the constructed jacking area BIM scene model so that it is located at the predetermined jacking starting point. Then, according to the actual working conditions of the jacking construction, boundary conditions and load conditions are applied in the model, including the constraint conditions of the support point, the thrust load of the jacking jack, the deadweight load of the steel box girder, etc.

[0035] Next, the finite element analysis tool integrated in the BIM software platform is used to simulate the entire jacking process step by step. In each jacking step, according to the current support point arrangement and jacking load, the force calculation and deformation analysis are performed on the first integrated steel box girder grid model, the second integrated steel box girder grid model, and the Nth integrated steel box girder grid model, respectively, to obtain the force distribution of each integrated steel box girder in the current jacking step. As the jacking process progresses, the force timing information of the first integrated steel box girder, the second integrated steel box girder, and the Nth integrated steel box girder are obtained by continuously calculating the grid models of each integrated steel box girder step by step, and storing and sorting the calculation results of each step in chronological order. These force timing information correspond to the corresponding integrated steel box girder grid models one by one, reflecting the changes in the force state of each integrated steel box girder during the actual jacking process, providing an important basis for subsequent construction management and optimization control.

[0036] Step S600: Predict the posture of the integrated steel box girder according to the first integrated steel box girder stress timing information, the second integrated steel box girder stress timing information, and up to the Nth integrated steel box girder stress timing information, and obtain the first integrated steel box girder posture timing information, the second integrated steel box girder posture timing information, and up to the Nth integrated steel box girder posture timing information.

[0037] Specifically, after obtaining the stress time series information of each integrated steel box girder, the spatial posture change of the entire steel box girder during the entire jacking process is further predicted, thereby obtaining the posture time series information of the first integrated steel box girder, the posture time series information of the second integrated steel box girder, and the posture time series information of the Nth integrated steel box girder. The posture information of the integrated steel box girder can intuitively reflect its deformation status and spatial position during the jacking process, providing an important basis for the safety control of the jacking construction. Specifically, using the obtained stress time series information of the first integrated steel box girder, the stress time series information of the second integrated steel box girder, and the stress time series information of the Nth integrated steel box girder, combined with the structural parameters and material properties of each integrated steel box girder, a steel box girder jacking posture prediction and analysis model is established. The model takes into account the deformation and displacement characteristics of the steel box girder during the jacking process, and accurately simulates the spatial deformation behavior of the steel box girder under multi-point support. When performing posture prediction, the stress time series information of each integrated steel box girder is first imported into the posture prediction and analysis model according to the time step as the load input condition of the model. Then, the deformation response of the steel box girder unit at each time step is solved by numerical solution methods, such as nonlinear finite element method and differential method, to obtain the displacement field and strain field of the entire steel box girder unit including each steel box girder unit. Based on the obtained displacement field and strain field, the key information such as the spatial position coordinates and attitude angle of the first steel box girder unit, the second steel box girder unit, and the Nth steel box girder unit at each time step are further extracted to form the corresponding attitude timing information. This information is presented in a visual way to generate a three-dimensional animation demonstration of the steel box girder unit pushing process, intuitively displaying the attitude change and deformation trend of the steel box girder, and obtaining the attitude timing information of the first steel box girder unit, the attitude timing information of the second steel box girder unit, and the attitude timing information of the Nth steel box girder unit.

[0038] Through posture prediction and analysis, the posture change information of the steel box girder during the whole process of jacking can be obtained before construction, and dangerous conditions that may occur during the jacking process, such as excessive local deformation and excessive support reaction force, can be predicted, providing a basis for formulating the optimal jacking construction plan.

[0039] Step S700: constructing a first predicted jacking linear trajectory according to the first integrated steel box girder posture timing information, the second integrated steel box girder posture timing information, and up to the Nth integrated steel box girder posture timing information.

[0040] Specifically, the obtained first integrated steel box girder posture timing information, the second integrated steel box girder posture timing information, and the Nth integrated steel box girder posture timing information are used to generate spatial curves adapted to the postures of each integrated steel box girder through methods such as geometric analysis and numerical fitting, and these curves are connected and combined according to the assembly order of the steel box girder to form a complete first predicted push-up linear trajectory. In the process of generating the first predicted push-up linear trajectory, the posture timing information of each integrated steel box girder is first preprocessed and data converted to extract the coordinates of the key control points. Then, mathematical tools such as spline curves and Bezier curves are used to generate smooth and continuous spatial parameter curves based on the control points as the push-up trajectories of each integrated steel box girder. Next, considering that the steel box girder is assembled from multiple integrated steel box girders, when combining the push-up trajectories of each integrated steel box girder, the position continuity and tangential continuity of the trajectory at the assembly point of the integrated steel box girder are ensured to avoid the occurrence of sharp points or mutations. To this end, curve transition, curvature matching and other methods can be used to smoothly transition the trajectories of adjacent integral steel box girders to ensure the overall smoothness of the first predicted jacking linear trajectory.

[0041] Through linear trajectory prediction, the spatial motion path of the entire steel box girder during the jacking process can be obtained before construction, providing an important reference for determining the jacking construction plan.

[0042] Step S800: When the first predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the entire long-span steel box girder according to the first support point position sequence and the first jacking rate.

[0043] Specifically, the predicted first predicted jacking linear trajectory is compared with the planned conceptual jacking linear trajectory to evaluate the degree of deviation, and to judge the feasibility of the first support point position sequence and the first jacking rate scheme. If the deviation between the two trajectories is within an acceptable range, it is considered that the current construction scheme meets the design requirements and can be adopted in actual jacking construction.

[0044] First, the conceptual jacking linear trajectory is extracted from the BIM scene model of the jacking area, reflecting the preliminary planning and expectation of the jacking process of the entire large-span steel box girder. Then, the first predicted jacking linear trajectory is geometrically compared with the conceptual jacking linear trajectory, and the deviation indicators of the two trajectories in spatial position and shape, such as trajectory distance, trajectory angle, etc., are calculated. When evaluating the trajectory deviation, the upper limit of the allowable deviation of the trajectory distance and trajectory angle is set. When the deviation indicators of the first predicted jacking linear trajectory and the conceptual jacking linear trajectory meet the requirements, it can be considered that the two trajectories have achieved substantial consistency. If the deviation between the first predicted jacking linear trajectory and the conceptual jacking linear trajectory meets the requirements, it means that the construction plan based on the first support point position sequence and the first jacking rate is feasible and can be applied in actual projects. At this time, the first support point position sequence and the first jacking rate are used as control parameters for jacking construction to guide the jacking operation on site, ensure that the jacking process proceeds smoothly along the expected trajectory, and complete the jacking construction of the steel box girder safely, efficiently and with high quality.

[0045] Furthermore, the embodiment of the present application also includes:

[0046] Step S900: when the first predicted push linear trajectory is inconsistent with the conceptual push linear trajectory, the first support point position sequence and / or the first push rate are updated to obtain a second support point position sequence and a second push rate;

[0047] Step S1000: predicting a pushing linear trajectory according to the second support point position sequence and the second pushing rate to obtain a second predicted pushing linear trajectory;

[0048] Step S1100: When the second predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the entire long-span steel box girder according to the second support point position sequence and the second jacking rate.

[0049] In a feasible implementation, when the first predicted jacking linear trajectory is inconsistent with the conceptual jacking linear trajectory, the predicted jacking linear trajectory is matched with the conceptual jacking linear trajectory by optimizing the support point position and the jacking rate, thereby ensuring the feasibility and safety of the jacking construction plan.

[0050] Specifically, when it is determined that the first predicted jacking linear trajectory is inconsistent with the conceptual jacking linear trajectory, at least one of the first support point position sequence and the first jacking rate is adjusted and updated to obtain the second support point position sequence and the second jacking rate. The adjustment of the support point position sequence includes the increase or decrease of the number of support points, the change of the support point spacing, and the optimization of the support point arrangement area; the adjustment of the jacking rate can be an increase or decrease on the basis of the original rate, or it can be an optimization of the rate change law. The purpose of the adjustment is to minimize the deviation between the predicted jacking linear trajectory and the conceptual jacking linear trajectory while ensuring the safety and feasibility of the jacking construction. After obtaining the second support point position sequence and the second jacking rate, use them as new control parameters, re-execute the BIM simulation jacking and the whole steel box girder posture prediction, and obtain the second predicted jacking linear trajectory. Then, the deviation between the second predicted jacking linear trajectory and the conceptual jacking linear trajectory is evaluated. If the two trajectories meet the consistency requirements, it is considered that the jacking construction plan based on the second support point position sequence and the second jacking rate can meet the requirements. At this time, the corresponding second support point position sequence and the second jacking rate are used as control parameters for jacking construction to guide the on-site construction operations and ensure that the jacking process proceeds smoothly along the expected trajectory. By optimizing the support arrangement and the jacking rate, the matching of the predicted jacking linear trajectory and the conceptual jacking linear trajectory is achieved, which improves the pertinence and reliability of the jacking construction plan. In addition, when the second predicted jacking linear trajectory is still inconsistent with the conceptual jacking linear trajectory, it is repeated through iterative optimization until the consistency requirements are met.

[0051] Furthermore, the embodiment of the present application also includes:

[0052] Step S110: the control parameter configuration module stores a push rate constraint interval, and randomly selects a value according to the push rate constraint interval to obtain the first push rate;

[0053] Step S120: the control parameter configuration module stores support point deployment constraint coordinate areas, support point pair quantity constraint intervals, support point transverse distance constraint intervals and support point longitudinal distance threshold intervals, support points are deployed in pairs, and the connecting line of each pair of support points is perpendicular to the span direction of the bridge;

[0054] Step S130: deploying constraint coordinate areas at the support points, and randomly deploying them based on the support point pair quantity constraint interval, the support point lateral distance constraint interval, and the support point longitudinal distance threshold interval to obtain the first support point position sequence.

[0055] In a preferred embodiment, first, the first jacking rate is randomly generated using the jacking rate constraint interval preset in the control parameter configuration module. The jacking rate constraint interval is determined based on factors such as the structural characteristics of the steel box girder, construction process requirements, and safety specifications, and a range of values ​​for the jacking rate is given. In actual configuration, a random number generation algorithm such as uniform distribution and normal distribution is used to randomly select a rate value within the jacking rate constraint interval as the first jacking rate. The jacking rate constraint interval ensures that the randomly generated jacking rate is within a reasonable range, avoiding the adverse effects of excessive or too small rates on the safety and feasibility of jacking construction.

[0056] Then, the constraints of support point arrangement are preset in the control parameter configuration module, including support point deployment constraint coordinate area, support point pair quantity constraint interval, support point transverse distance constraint interval and support point longitudinal distance threshold interval. Among them, the support point deployment constraint coordinate area limits the plane range where the support points can be arranged, which is determined according to factors such as the bridge location terrain, construction site conditions and the location of existing structures; the support point pair quantity constraint interval specifies the number range of support points arranged in pairs, which not only ensures that the number of support points meets the force requirements, but also avoids the cost waste caused by too many support points; the support point transverse distance constraint interval controls the transverse spacing between the same pair of support points to ensure the stability and coordination of the paired support points; the support point longitudinal distance threshold interval controls the distance between two adjacent pairs of support points in the top-pushing direction, which not only meets the requirements of the spanning capacity of the steel box girder, but also takes into account the economy of the support point arrangement. In addition, it is also stipulated that the support points must be arranged in pairs, and the connecting line of each pair of support points is perpendicular to the span direction of the bridge to ensure the symmetry and balance of the force during the top-pushing process of the steel box girder. Subsequently, under the given constraints, the first support point position sequence is generated using a random algorithm. In the support point deployment constraint coordinate area, the number of support point pairs to be arranged is first randomly determined according to the support point pair number constraint interval; then, for each pair of support points, its coordinates are randomly generated on the premise of satisfying the support point horizontal distance constraint interval and the support point longitudinal distance threshold interval, forming the first support point position sequence, providing a search starting point for top-pushing construction.

[0057] Furthermore, the embodiment of the present application also includes:

[0058] Step S410: the large-span steel box girder integration includes a first integrated steel box girder BIM model, a second integrated steel box girder BIM model, and so on until the Nth integrated steel box girder BIM model;

[0059] Step S420: traversing the first integrated steel box girder BIM model, the second integrated steel box girder BIM model, and the Nth integrated steel box girder BIM model to perform material three-dimensional mesh segmentation, and obtaining the first integrated steel box girder mesh model, the second integrated steel box girder mesh model, and the Nth integrated steel box girder mesh model, wherein the material type of any mesh of the first integrated steel box girder mesh model, the second integrated steel box girder mesh model, and the Nth integrated steel box girder mesh model is the same;

[0060] Step S430: According to the large-span steel box girder integrated BIM model, the first integrated steel box girder grid model, the second integrated steel box girder grid model, and up to the Nth integrated steel box girder grid model are spliced ​​to obtain the large-span steel box girder integrated BIM grid model.

[0061] In a preferred embodiment, the integrated BIM model of the long-span steel box girder is composed of the first integrated steel box girder BIM model, the second integrated steel box girder BIM model, and the Nth integrated steel box girder BIM model. The first integrated steel box girder BIM model, the second integrated steel box girder BIM model, and the Nth integrated steel box girder BIM model are sequentially subjected to three-dimensional material mesh division, and are discretized into regular hexahedral mesh units. In the division process, the mesh density and size are controlled according to the structural characteristics, stress distribution, and construction process of the steel box girder, so as to ensure the calculation accuracy while taking into account the calculation efficiency. For stress concentration areas, such as near the support point and the plate connection, a local encryption processing method is adopted to accurately capture the change of stress gradient. Since the integrated steel box girder adopts the same steel material, when the mesh is divided, it is ensured that the material type of any mesh unit of the first integrated steel box girder mesh model, the second integrated steel box girder mesh model, and the Nth integrated steel box girder mesh model is the same, so as to facilitate the subsequent material attribute assignment and parameter input. Subsequently, according to the assembly relationship of each integrated steel box girder BIM model in the integrated BIM model of the large-span steel box girder, the first integrated steel box girder grid model, the second integrated steel box girder grid model, and the Nth integrated steel box girder grid model are combined and spliced ​​to obtain a complete large-span steel box girder integrated BIM grid model. During the splicing process, the node positions of adjacent integrated grid models on the contact surface are accurately aligned, and the continuity and consistency of the node numbers are ensured to ensure the connectivity and integrity of the overall grid model, providing high-quality geometric models and discretized data support for subsequent top-pushing simulation analysis.

[0062] Furthermore, the embodiment of the present application also includes:

[0063] Step S510: performing BIM simulation jacking on the integrated BIM grid model of the large-span steel box girder in the BIM scene model of the jacking area to obtain a plurality of grid force information of the first integrated steel box girder grid model at the first moment;

[0064] Step S520: storing the force information of a plurality of grids at the first moment and the model of the first integrated steel box girder together as the force information of the first integrated steel box girder at the first moment;

[0065] Step S530: adding the force information of the first integrated steel box girder at the first moment into the force time series information of the first integrated steel box girder;

[0066] Among them, the acquisition process of the second integrated steel box girder force timing information until the Nth integrated steel box girder force timing information is the same as the acquisition process of the first integrated steel box girder force timing information.

[0067] In a preferred embodiment, different from the traditional integral simulation analysis, a time-stepping discretization method is adopted to obtain the grid stress state of each integral steel box girder step by step in units of time, and then organize and store it in time series to form a complete stress timing information of the jacking process. This not only improves the efficiency and speed of the simulation calculation, but also can refine the change law of the stress state with time, providing richer and more accurate data support for subsequent posture analysis and linear trajectory optimization.

[0068] First, in the BIM simulation jacking environment, when the BIM grid model of the large-span steel box girder is jacked in the BIM scene model of the jacking area, the force information of several grid units of the first integrated steel box girder grid model at the first moment is obtained through BIM finite element simulation analysis. Specifically, the large-span steel box girder integrated BIM grid model is first imported into the BIM scene model of the jacking area to form a complete jacking simulation model; then, the initial conditions and boundary conditions such as jacking rate, support point arrangement and material properties are defined, and the simulation model is finite element calculated; in the calculation process, the force information of several grid units in the grid model of the first integrated steel box girder is obtained in units of time, such as gravity, support force, tension, etc., to reflect the overall force state of the first integrated steel box girder at that moment. Since jacking construction is a slowly changing quasi-static process, the quasi-static analysis method is adopted in BIM simulation jacking, that is, at each time step, the equilibrium position and internal force distribution of the structure are determined by iterative solution. At the same time, due to the constraints of known conditions such as jacking rate, support point arrangement and material parameters, the freedom and uncertainty of the calculation can be reduced, and the convergence and reliability of the simulation results can be improved. Subsequently, the force information of several grids of the grid model of the first integrated steel box girder at the first moment is associated with the model of the first integrated steel box girder, and stored together as the force information of the first integrated steel box girder at the first moment. Among them, the model is used to uniquely identify the first integrated steel box girder. Subsequently, the force information of the first integrated steel box girder at the first moment is added to the force time series information of the first integrated steel box girder in chronological order, and the force state of the first integrated steel box girder at each moment during the jacking process is recorded, reflecting the evolution law of the force performance over time. By continuously adding the force information of the new moment to the time series information, the continuous tracking and description of the entire jacking process is realized. The method for obtaining the stress time series information of the second to the Nth complete steel box girder is the same as that of the first complete steel box girder, which is to extract the grid stress information moment by moment through BIM simulation jacking, and then store it together with the model information, and finally add it to the corresponding time series information in chronological order, thereby realizing the complete recording and storage of the jacking process of all complete steel box girders.

[0069] Through the discretization of the time dimension and the associative storage of the data structure, a refined description and dynamic tracking of the stress state of the entire steel box girder during the jacking process is achieved, which not only improves the timeliness and pertinence of the simulation analysis, but also provides a data basis for subsequent construction monitoring and intelligent decision-making to guide the jacking construction of large-span steel box girders.

[0070] Furthermore, the embodiment of the present application also includes:

[0071] Step S610: extracting the force information of the first integrated steel box girder at the first moment according to the force time series information of the first integrated steel box girder, wherein the force information of the first integrated steel box girder at the first moment includes the force information of a plurality of grids at the first moment and the model of the first integrated steel box girder;

[0072] Step S620: matching a steel box girder posture prediction model from a posture prediction model library according to the first integrated steel box girder model;

[0073] Step S630: Processing the force information of a plurality of grids at the first moment by the steel box girder posture prediction model to obtain steel box girder posture prediction parameters;

[0074] Step S640: constructing the posture of the first integrated steel box girder at the first moment according to the predicted posture parameters of the steel box girder, and adding the posture time series information of the first integrated steel box girder;

[0075] Among them, the acquisition process of the second integrated steel box girder posture timing information until the Nth integrated steel box girder posture timing information is the same as the acquisition process of the first integrated steel box girder posture timing information.

[0076] In a preferred embodiment, first, according to the stress time series information of the first integrated steel box girder, the stress information data at the first moment is extracted as the input condition for posture prediction. The stress information at this moment mainly includes two parts: one is the stress information of several grid units at the first moment, such as gravity, support force, tension, etc., reflecting the overall stress state of the first integrated steel box girder at this moment; the other is the model of the first integrated steel box girder, which is used to identify the integrated steel box girder. Then, according to the extracted model of the first integrated steel box girder, the posture prediction model of the steel box girder of the corresponding model is matched from the pre-built posture prediction model library. The so-called steel box girder posture prediction model refers to a machine learning model that takes the stress state of the steel box girder as input and its spatial posture parameters as output, such as a neural network model, a support vector machine model, etc. By training a large amount of known force-posture data, it is possible to automatically learn and master the intrinsic relationship between the force and posture of the steel box girder, and use it for subsequent posture prediction. In practical applications, since different types of steel box girders have different structural stress characteristics and deformation laws, it is necessary to establish multiple prediction models that correspond to the steel box girder models one by one to ensure the pertinence and accuracy of the prediction results.

[0077] Then, the matched steel box girder posture prediction model is used to process and analyze several grid force information of the first integrated steel box girder at the first moment, and a series of prediction parameters representing the steel box girder posture at this moment are obtained, such as deflection, rotation angle, inclination, etc. The specific prediction process includes steps such as data preprocessing, feature extraction, model calculation, and result output. By inputting the grid force information into the prediction model, the numerical value of the posture prediction parameter is obtained through forward propagation and reverse iteration. After that, according to the steel box girder posture prediction parameters, the spatial posture of the first integrated steel box girder at the first moment is geometrically constructed and visualized, and the corresponding first integrated steel box girder posture at the first moment is generated, and then it is added to the first integrated steel box girder posture time series information, so as to realize the continuous recording and storage of the posture changes of the integrated steel box girder during the entire jacking process. For the second to the Nth set of steel box girders, the process of acquiring their posture timing information is the same as that of the first set of steel box girders, realizing posture prediction and timing construction at each moment and each set, forming posture change data for the entire bridge and the entire process, providing a basis for jacking construction.

[0078] Furthermore, the embodiment of the present application also includes:

[0079] Step S621: performing three-dimensional mesh segmentation on the preset model steel box girder to obtain a BIM mesh model of the preset model steel box girder;

[0080] Step S622: performing force simulation on the preset model steel box girder BIM grid model to obtain a preset model steel box girder grid force vector record data set and a preset model steel box girder posture parameter record data set;

[0081] Step S623: constructing a preset model steel box girder posture prediction graph neural network architecture according to the preset model steel box girder BIM grid model, wherein the preset model steel box girder posture prediction graph neural network architecture is the same as the topological structure of the preset model steel box girder BIM grid model, each grid distribution position is an input node, and the output of the preset model steel box girder posture prediction graph neural network architecture is a preset model steel box girder posture description vector;

[0082] Step S624: using the preset model steel box girder posture parameter record data set as supervision data and the preset model steel box girder grid force vector record data set as input data, training the preset model steel box girder posture prediction graph neural network architecture to obtain a preset model steel box girder posture prediction model;

[0083] Step S625: The preset model steel box girder posture prediction model is stored in association with the preset model, and added into the posture prediction model library.

[0084] In a preferred embodiment, a preset steel box girder is firstly subjected to BIM modeling and meshing to obtain a corresponding preset steel box girder BIM mesh model. The model not only reflects the geometric shape and size of the steel box girder, but also contains the topological relationship and connection relationship of the mesh units, providing a data basis for subsequent mesh numerical simulation and network feature learning. Then, based on the preset steel box girder BIM mesh model, a comprehensive force analysis is performed on the preset steel box girder through numerical simulation techniques such as finite element simulation to obtain the force state data of the mesh units, and the mesh units are associated and recorded with the posture parameters of the steel box girder at the corresponding moment to form two data sets: one is a preset steel box girder grid force vector record data set, which describes the force components and distribution laws of the mesh units of the preset steel box girder under different working conditions; the other is a preset steel box girder posture parameter record data set, which describes the spatial morphological characteristics and change trends of the preset steel box girder under different working conditions. Subsequently, according to the preset steel box girder BIM mesh model, a matching preset steel box girder posture prediction graph neural network architecture is designed as the basic framework of the preset steel box girder posture prediction model. Among them, the nodes and edges of the graph neural network architecture of the preset model steel box girder posture prediction correspond to the grid units and connection relationships in the preset model steel box girder BIM grid model. At the same time, the spatial position and number of the grid unit are mapped to the input node of the graph network, and the overall posture parameters of the steel box girder are mapped to the output vector of the graph network, building an end-to-end association between grid data and posture representation.

[0085] Then, the two obtained data sets are used to train parameters and optimize the performance of the neural network architecture of the preset model steel box girder posture prediction graph. Among them, the grid force vector records in the preset model steel box girder posture parameter record data set are used as input samples, and the posture parameter records in the preset model steel box girder grid force vector record data set are used as supervision labels. Through machine learning algorithms such as random gradient descent and back propagation, the network weights and thresholds are adaptively adjusted while minimizing the prediction error, and the accuracy and generalization ability of posture prediction are continuously improved. After multiple rounds of iterative training, the preset model steel box girder posture prediction model corresponding to the preset model steel box girder is obtained. The model quickly and accurately outputs the spatial posture parameters of the steel box girder at any time according to the grid force input at any time. Then, the trained preset model steel box girder posture prediction model is associated with the corresponding preset model and stored, and added to the posture prediction model library. The posture prediction model library brings together prediction models of steel box girders of different models. In practical applications, the posture prediction function can be realized by quickly retrieving and matching the corresponding prediction model according to the model of the steel box girder to be predicted, without repeated modeling and training, which improves the prediction efficiency and convenience.

[0086] Furthermore, the embodiment of the present application also includes:

[0087] Step S1200: Counting the length of non-overlapping trajectories between the first predicted push-up linear trajectory and the conceptual push-up linear trajectory and the maximum angle between the non-overlapping trajectories;

[0088] Step S1300: Calculate the ratio of the non-coincidence trajectory length to the concept push-line trajectory length, and set it as an evaluation factor;

[0089] Step S1400: When the evaluation factor is greater than or equal to the evaluation factor threshold, or / and the maximum angle of the non-coincident trajectory is greater than or equal to the angle threshold, it is considered that the first predicted push-up linear trajectory is inconsistent with the conceptual push-up linear trajectory;

[0090] Step S1500: When the evaluation factor is less than the evaluation factor threshold, and the maximum angle of the non-coincident trajectory is less than the angle threshold, it is considered that the first predicted push linear trajectory is consistent with the conceptual push linear trajectory.

[0091] In a preferred embodiment, by introducing the non-overlapping trajectory length ratio and the non-overlapping trajectory maximum angle, the deviation degree between the first predicted push-up linear trajectory and the conceptual push-up linear trajectory is quantitatively evaluated, and this is used as the basis for consistency judgment.

[0092] First, the length of the non-overlapping trajectory and the maximum angle of the non-overlapping trajectory between the first predicted top-pushing linear trajectory and the conceptual top-pushing linear trajectory are counted. Among them, the length of the non-overlapping trajectory reflects the absolute deviation distance of the two trajectories in the spatial position, and the maximum angle of the non-overlapping trajectory reflects the maximum deviation angle of the two trajectories in the spatial direction. When the first predicted top-pushing linear trajectory deviates from the conceptual top-pushing linear trajectory, the deviated part will form a certain spatial angle. The larger the angle, the more serious the deviation, and there will be a safety hazard of top-pushing. Then, based on the statistical data, the ratio of the non-overlapping trajectory length to the entire conceptual top-pushing linear trajectory length is calculated, which is used as a comprehensive indicator to evaluate the degree of deviation of the two trajectories, called the evaluation factor, which reflects the proportion of the non-overlapping part length in the overall trajectory length. The larger the value, the greater the deviation between the first predicted top-pushing linear trajectory and the conceptual top-pushing linear trajectory. Subsequently, according to the preset evaluation factor threshold and angle threshold, the consistency of the first predicted top-pushing linear trajectory and the conceptual top-pushing linear trajectory is determined. When the evaluation factor is greater than or equal to the evaluation factor threshold, or the maximum angle of the non-coinciding trajectory is greater than or equal to the angle threshold, the two trajectories are considered inconsistent, that is, the predicted trajectory deviates too much from the conceptual trajectory and exceeds the safety range of the top-pushing construction, and the top-pushing construction plan needs to be optimized and adjusted. When the evaluation factor is less than the evaluation factor threshold, and the maximum angle of the non-coinciding trajectory is less than the angle threshold, the two trajectories are considered consistent, and the first predicted top-pushing linear trajectory and the conceptual top-pushing linear trajectory are well matched, meeting the accuracy requirements of top-pushing construction, and can be applied to actual projects.

[0093] By using the two indicators of non-overlapping trajectory length and non-overlapping trajectory maximum angle and setting the judgment threshold, the feasibility and safety of the jacking construction plan can be judged, providing a basis for determining the jacking construction plan.

[0094] The BIM-based large-span steel box girder integrated top-pushing linear construction management method provided by the embodiment of the present invention has at least the following technical effects:

[0095] By controlling the parameter configuration module, the first support point position sequence and the first jacking rate are randomly configured to provide initial conditions for subsequent BIM simulation. By randomly configuring the support point position and the jacking rate, different construction plans can be generated, providing diverse options for optimization selection. Based on the first support point position sequence and the first jacking rate, a jacking area BIM scene model is constructed, wherein the jacking area BIM scene model has a conceptual jacking linear trajectory, and a virtual scene of jacking construction is constructed. The parameters such as the support point position and the jacking rate are combined with the BIM model to generate a conceptual jacking linear trajectory, providing a benchmark for subsequent simulation analysis and comparison. The large-span steel box girder is modeled as a whole, and the large-span steel box girder integrated BIM model is obtained. The actual steel box girder structure is converted into a digital BIM model, providing a data basis for subsequent refined analysis and simulation. The material three-dimensional mesh segmentation of the integrated BIM model of the large-span steel box girder is performed to obtain the integrated BIM mesh model of the large-span steel box girder. By meshing the BIM model, the steel box girder is discretized into many small units, and each unit can be independently subjected to force analysis, thereby achieving refined force calculation and improving analysis accuracy. The integrated BIM mesh model of the large-span steel box girder is subjected to BIM simulation jacking in the BIM scene model of the jacking area to obtain the force timing information of the first integrated steel box girder, the second integrated steel box girder, and the Nth integrated steel box girder. Through BIM simulation, the force state of the steel box girder during the jacking process is simulated, and refined force data at different times and positions are obtained, providing a basis for subsequent posture prediction. According to the stress timing information of the first steel box girder, the stress timing information of the second steel box girder, and the stress timing information of the Nth steel box girder, the posture of the whole steel box girder is predicted, and the posture timing information of the first steel box girder, the posture timing information of the second steel box girder, and the posture timing information of the Nth steel box girder are obtained. The posture changes of the steel box girder during the jacking process, such as lateral offset and longitudinal deformation, are predicted using the refined stress data to provide a reference for optimizing the jacking construction. According to the posture timing information of the first steel box girder, the posture timing information of the second steel box girder, and the posture timing information of the Nth steel box girder, the first predicted jacking linear trajectory is constructed, and according to the predicted posture change data, the predicted jacking linear trajectory is generated for comparison with the initial conceptual jacking linear trajectory to evaluate the feasibility and optimization degree of the construction plan. When the first predicted jacking line trajectory is consistent with the conceptual jacking line trajectory, the entire large-span steel box girder is jacked according to the first support point position sequence and the first jacking rate. The predicted jacking line is compared with the conceptual jacking line. When the two are consistent, it indicates that the construction plan obtained through BIM simulation and analysis is feasible and optimized. At this time, the actual jacking construction operation can be guided according to the optimized support point position and jacking rate and other parameters, and the jacking construction process of the entire large-span steel box girder can be optimized to ensure the safety and efficiency of the jacking construction.

[0096] Embodiment 2:

[0097] See also Figure 2 , Figure 2 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 2 As shown, an electronic device 100 provided by an embodiment of the present invention includes a memory 110, a processor 120, and a computer program 111 stored in the memory 110 and executable on the processor 120. When the processor 120 executes the computer program 111, a large-span steel box girder integral top-pushing linear construction management method based on BIM technology is implemented.

[0098] Embodiment three:

[0099] See also Figure 3 , Figure 3 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 3 As shown, this embodiment provides a computer-readable storage medium 200 on which a computer program 211 is stored. When the computer program 211 is executed by a processor, a method for managing the construction of a large-span steel box girder integral top-pushing line based on BIM technology is implemented.

[0100] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0101] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0105] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0106] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. The construction management method of large-span steel box girder integral joint top-pushing line based on BIM technology is characterized by: include: By controlling the parameter configuration module, the first support point position sequence and the first pushing rate are randomly configured; Based on the first support point position sequence and the first jacking rate, constructing a jacking area BIM scene model, wherein the jacking area BIM scene model has a conceptual jacking linear trajectory; Model the entire long-span steel box girder to obtain the BIM model of the entire long-span steel box girder; Performing material three-dimensional mesh segmentation on the integrated BIM model of the large-span steel box girder to obtain an integrated BIM mesh model of the large-span steel box girder; The integrated BIM grid model of the large-span steel box girder is subjected to BIM simulation jacking in the BIM scene model of the jacking area to obtain the stress timing information of the first integrated steel box girder, the stress timing information of the second integrated steel box girder, and so on until the stress timing information of the Nth integrated steel box girder; According to the stress timing information of the first integrated steel box girder, the stress timing information of the second integrated steel box girder, and the stress timing information of the Nth integrated steel box girder, the posture timing information of the first integrated steel box girder, the posture timing information of the second integrated steel box girder, and the posture timing information of the Nth integrated steel box girder are obtained; Constructing a first predicted jacking linear trajectory according to the first integrated steel box girder posture timing information, the second integrated steel box girder posture timing information, and up to the Nth integrated steel box girder posture timing information; When the first predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the entire large-span steel box girder according to the first support point position sequence and the first jacking rate.

2. The method according to claim 1, characterized in that Also includes: When the first predicted push linear trajectory is inconsistent with the conceptual push linear trajectory, the first support point position sequence and / or the first push rate are updated to obtain a second support point position sequence and a second push rate; Predicting a pushing linear trajectory according to the second support point position sequence and the second pushing rate to obtain a second predicted pushing linear trajectory; When the second predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the entire large-span steel box girder according to the second support point position sequence and the second jacking rate.

3. The method according to claim 1, characterized in that The first support point position sequence and the first pushing rate are randomly configured through the control parameter configuration module, including: The control parameter configuration module stores a push rate constraint interval, and randomly selects a value according to the push rate constraint interval to obtain the first push rate; The control parameter configuration module stores support point deployment constraint coordinate areas, support point pair quantity constraint intervals, support point transverse distance constraint intervals and support point longitudinal distance threshold intervals. Support points are deployed in pairs, and the connecting line of each pair of support points is perpendicular to the span direction of the bridge. In the support point deployment constraint coordinate area, random deployment is performed based on the support point pair quantity constraint interval, the support point lateral distance constraint interval and the support point longitudinal distance threshold interval to obtain the first support point position sequence.

4. The method according to claim 1, characterized in that The material three-dimensional mesh segmentation is performed on the integrated BIM model of the large-span steel box girder to obtain the integrated BIM mesh model of the large-span steel box girder, including: The large-span steel box girder integration includes a first integrated steel box girder BIM model, a second integrated steel box girder BIM model, and up to an Nth integrated steel box girder BIM model; Traversing the first integrated steel box girder BIM model, the second integrated steel box girder BIM model, and the Nth integrated steel box girder BIM model to perform material three-dimensional mesh segmentation, and obtaining the first integrated steel box girder mesh model, the second integrated steel box girder mesh model, and the Nth integrated steel box girder mesh model, wherein the material type of any mesh of the first integrated steel box girder mesh model, the second integrated steel box girder mesh model, and the Nth integrated steel box girder mesh model is the same; According to the large-span steel box girder integrated BIM model, the first integrated steel box girder grid model, the second integrated steel box girder grid model, and up to the Nth integrated steel box girder grid model are spliced ​​to obtain the large-span steel box girder integrated BIM grid model.

5. The method according to claim 1, characterized in that The integrated BIM grid model of the large-span steel box girder is subjected to BIM simulation jacking in the BIM scene model of the jacking area to obtain the stress timing information of the first integrated steel box girder, the stress timing information of the second integrated steel box girder, and finally the stress timing information of the Nth integrated steel box girder, including: The integrated BIM grid model of the large-span steel box girder is subjected to BIM simulation jacking in the BIM scene model of the jacking area to obtain a plurality of grid force information of the first integrated steel box girder grid model at the first moment; The force information of the plurality of grids at the first moment and the model of the first integrated steel box girder are stored together as the force information of the first integrated steel box girder at the first moment; Adding the force information of the first integrated steel box girder at the first moment into the force time series information of the first integrated steel box girder; Among them, the acquisition process of the second integrated steel box girder force timing information until the Nth integrated steel box girder force timing information is the same as the acquisition process of the first integrated steel box girder force timing information.

6. The method according to claim 5, characterized in that According to the first integral steel box girder stress timing information, the second integral steel box girder stress timing information, and up to the Nth integral steel box girder stress timing information, the integral steel box girder posture prediction is performed to obtain the first integral steel box girder posture timing information, the second integral steel box girder posture timing information, and up to the Nth integral steel box girder posture timing information, including: Extracting the force information of the first integrated steel box girder at the first moment according to the force time series information of the first integrated steel box girder, wherein the force information of the first integrated steel box girder at the first moment includes the force information of a plurality of grids at the first moment and the model of the first integrated steel box girder; According to the first integrated steel box girder model, matching the steel box girder posture prediction model from the posture prediction model library; Processing the force information of a plurality of grids at the first moment by the steel box girder posture prediction model to obtain the steel box girder posture prediction parameters; According to the predicted parameters of the steel box girder posture, construct the posture of the first whole steel box girder at the first moment, and add the timing information of the posture of the first whole steel box girder into it; Among them, the acquisition process of the second integrated steel box girder posture timing information until the Nth integrated steel box girder posture timing information is the same as the acquisition process of the first integrated steel box girder posture timing information.

7. The method according to claim 6, characterized in that According to the first integrated steel box girder model, a steel box girder posture prediction model is matched from a posture prediction model library, including: Perform material 3D mesh segmentation on the preset steel box girder model to obtain the BIM mesh model of the preset steel box girder model; Performing force simulation on the preset model steel box girder BIM grid model to obtain a preset model steel box girder grid force vector record data set and a preset model steel box girder posture parameter record data set; According to the preset model steel box girder BIM grid model, a preset model steel box girder posture prediction graph neural network architecture is constructed, wherein the preset model steel box girder posture prediction graph neural network architecture is the same as the topological structure of the preset model steel box girder BIM grid model, each grid distribution position is an input node, and the output of the preset model steel box girder posture prediction graph neural network architecture is a preset model steel box girder posture description vector; Taking the preset model steel box girder posture parameter record data set as supervision data and the preset model steel box girder grid force vector record data set as input data, the preset model steel box girder posture prediction graph neural network architecture is trained to obtain the preset model steel box girder posture prediction model; The preset model steel box girder posture prediction model is associated with the preset model and stored, and added to the posture prediction model library.

8. The method according to claim 1, characterized in that When the first predicted jacking linear trajectory is consistent with the conceptual jacking linear trajectory, jacking construction is performed on the entire long-span steel box girder according to the first support point position sequence and the first jacking rate, which includes: Counting the length of non-overlapping trajectories between the first predicted push-up linear trajectory and the conceptual push-up linear trajectory and the maximum angle of non-overlapping trajectories; Calculate the ratio of the non-coincidence trajectory length to the concept push-line trajectory length, and set it as an evaluation factor; When the evaluation factor is greater than or equal to the evaluation factor threshold, or / and the maximum angle of the non-coincident trajectory is greater than or equal to the angle threshold, it is considered that the first predicted push linear trajectory is inconsistent with the conceptual push linear trajectory; When the evaluation factor is less than the evaluation factor threshold, and the maximum angle of the non-coincident trajectory is less than the angle threshold, it is considered that the first predicted push linear trajectory is consistent with the conceptual push linear trajectory.

9. An electronic device, characterized in that: include: Memory for storing computer software programs; A processor is used to read and execute the computer software program, thereby implementing the large-span steel box girder integral top-pushing linear construction management method based on BIM technology as described in any one of claims 1-8.

10. A non-transitory computer-readable storage medium, characterized in that: The storage medium stores a computer software program, which, when executed by a processor, implements the BIM-based large-span steel box girder integral top-pushing linear construction management method as described in any one of claims 1 to 8.

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