Intelligent construction method for prefabricated profile steel pedestal in precast beam field

Abstract

The invention discloses an intelligent construction method for a prefabricated section steel pedestal in a precast beam field, and relates to the technical field of building construction, the method comprises the following steps: extracting a precast beam construction sequence from a precast beam order; obtaining a plurality of profile steel pedestal models of the plurality of assembled profile steel pedestals; obtaining a profile steel pedestal scheduling requirement; idle profile steel pedestals are called, and a standby profile steel pedestal library is obtained; the K construction scheduling sequences are optimized according to the prefabricated time consumption analysis result and the profile steel pedestal scheduling requirements, and K updated scheduling sequences are obtained; and intelligent construction preparation is carried out. The technical problems of low efficiency and low production efficiency due to unreasonable scheduling of the profile steel pedestal caused by resource mismatching due to the fact that matching of a construction sequence and an assembly type profile steel pedestal often depends on artificial experience scheduling in existing profile steel pedestal construction are solved, accurate matching of the construction sequence and equipment scheduling is realized, and the construction efficiency is improved. The technical effects of improving the utilization rate, the production flexibility and the production efficiency of the profile steel pedestal are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to building construction technology, and in particular to an intelligent construction method for an assembled steel pedestal in a prefabricated beam yard. Background Art

[0002] With the rapid development of infrastructure construction today, precast beams, as an important part of engineering structures such as bridges and buildings, have a production efficiency and quality control that are directly related to the progress and quality of the entire project. Precast beams usually refer to reinforced concrete precast beams. The production process of precast beams usually involves complex geometric dimension requirements, strict construction scheduling, and a large amount of equipment calling and management. However, this information often relies on manual recording and analysis, which is not only inefficient but also prone to errors. There are many challenges in the production process of precast beams, such as long construction period, unreasonable resource allocation, and low production efficiency. As the key construction equipment for the production of precast beams, the design and scheduling of prefabricated steel pedestals are directly related to production efficiency and cost control. Traditional steel pedestals are often fixed and difficult to adapt to the production needs of precast beams of different sizes. Traditional construction methods are difficult to combine the geometric dimension information of precast beams for correlation analysis, and realize dynamic scheduling and optimal configuration of steel pedestals, thereby affecting the utilization rate and production efficiency of steel pedestal equipment.

[0003] In the current technologies related to the construction of prefabricated steel pedestals in prefabricated beam yards, the matching of the existing construction sequence and the prefabricated steel pedestals often relies on manual experience scheduling, resulting in resource mismatch, which in turn leads to technical problems such as low efficiency of the steel pedestals due to unreasonable scheduling and low production efficiency. Summary of the invention

[0004] The present application provides an intelligent construction method for assembled steel pedestals in a prefabricated beam yard, thereby solving the technical problem that the matching of the construction sequence and the assembled steel pedestals in the existing steel pedestal construction often relies on manual experience scheduling, resulting in resource mismatch, and further leading to low efficiency and low production efficiency of the steel pedestals due to unreasonable scheduling. The application realizes the precise matching of the construction sequence and equipment scheduling, and achieves the technical effect of improving the utilization rate of the steel pedestals, production flexibility and production efficiency.

[0005] The present application provides an intelligent construction method for an assembled steel pedestal in a prefabricated beam yard, comprising: receiving a prefabricated beam order, and extracting a prefabricated beam construction sequence from the prefabricated beam order, wherein the prefabricated beam construction sequence includes K geometric dimension information of K prefabricated beams to be manufactured and K construction scheduling orders, wherein K is a positive integer; an interactive construction management center obtains multiple steel pedestal models of multiple assembled steel pedestals; performing correlation analysis based on the K geometric dimension information and the multiple steel pedestal models to obtain the steel pedestal scheduling requirements; and According to the scheduling requirements of the steel pedestals, idle steel pedestals are called from the construction management center, and the calling results are stacked in the prefabricated beam yard to obtain a spare steel pedestal library; prefabrication time analysis is performed on the K prefabricated beams to be manufactured, and the K construction scheduling orders are optimized according to the prefabrication time analysis results and the scheduling requirements of the steel pedestals to obtain K updated scheduling orders; with the K updated scheduling orders as constraints, prefabricated steel pedestals are called from the spare steel pedestal library to perform intelligent construction preparation for the K prefabricated beams to be manufactured.

[0006] In a possible implementation, an association analysis is performed based on the K geometric dimension information and multiple steel pedestal models to obtain the scheduling requirements of the steel pedestals, and the following processing is also performed: K prefabricated beam models are modeled and restored based on the K geometric dimension information; assembly fitting is performed on the multiple steel pedestal models with the K prefabricated beam models as constraints to obtain K steel pedestal configurations and K steel pedestal layouts; an association analysis is performed on the K steel pedestal configurations and multiple prefabricated steel pedestals to obtain the scheduling requirements of the steel pedestals.

[0007] In a possible implementation, the K prefabricated beam models are used as constraints, and assembly fitting is performed on the multiple steel pedestal models to obtain K steel pedestal configurations and K steel pedestal layouts, and the following processing is also performed: multiple sample configuration information of multiple decomposed basic beams is interactively obtained, wherein each sample configuration information in the multiple sample configuration information includes a sample steel pedestal configuration and a sample steel pedestal layout; the multiple decomposed basic beams and the multiple sample configuration information are stored based on the knowledge graph association to obtain a prefabricated beam configuration model; multiple sample geometric size information and multiple groups of decomposition of multiple sample prefabricated beams are interactively obtained. foundation beam; after constructing multiple sample precast beam models of the multiple sample precast beams based on the multiple sample geometric dimension information, adopt the multiple sample precast beam models and multiple groups of decomposed foundation beam training to obtain a precast beam decomposition model; synchronize the K precast beam models to the precast beam decomposition model to obtain K groups of decomposed foundation beams; adopt the K groups of decomposed foundation beams to traverse the precast beam configuration model to obtain K groups of decomposed steel pedestal layouts and the K steel pedestal configurations; perform spatial positioning on the K groups of decomposed steel pedestal layouts based on the K precast beam models to obtain the K steel pedestal layouts.

[0008] In a possible implementation, an association analysis is performed on the K steel pedestal configurations and the various prefabricated steel pedestals to obtain the scheduling requirements of the steel pedestals, and the following processing is performed: the various prefabricated steel pedestals are used to traverse the K steel pedestal configurations to perform application frequency statistics to obtain multiple application frequency arrays; extreme value calls are performed on the multiple application frequency arrays to obtain multiple steel pedestal scheduling quantities; the various prefabricated steel pedestals and the multiple steel pedestal scheduling quantities are associated and stored to obtain the steel pedestal scheduling requirements.

[0009] In a possible implementation, correlation analysis is performed on the K steel pedestal configurations and multiple prefabricated steel pedestals to obtain the steel pedestal scheduling requirements, and the following processing is also performed: among the multiple application frequency arrays, each application frequency array includes K application frequency parameters.

[0010] In a possible implementation, the construction management center calls idle steel pedestals based on the multiple steel pedestals, and stacks the call results in the precast beam yard. Before that, the following processing is also performed: overhead projection extraction is performed on the K precast beam models to obtain K overhead projection images; maximum overlapping area fitting is performed on the K overhead projection images to obtain a comprehensive overhead projection image; a standard construction operation interval is obtained by selecting the comprehensive overhead projection image; the standard construction operation interval is copied and spliced ​​according to preset arrangement and splicing rules to obtain the precast beam yard, wherein the precast beam yard is 4 times the size of the standard construction operation interval.

[0011] In a possible implementation, a prefabrication time analysis is performed on the K prefabricated beams to be manufactured, and the K construction scheduling orders are optimized according to the prefabrication time analysis results and the scheduling requirements of the steel pedestal to obtain K updated scheduling orders, and the following processing is also performed: K prefabricated beam reinforcement configurations and K prefabricated beam prestressing forces are extracted from the prefabricated beam order; The K prefabricated beam reinforcement configurations, the K prefabricated beam prestressing forces and the K prefabricated beam models are synchronized to a pre-built prefabrication time consumption analysis model, and the prefabrication time consumption analysis results are output, wherein the prefabrication time consumption analysis results include K prefabrication time consumption information; the K prefabrication time consumption information is serialized with reference to the K construction scheduling orders to obtain a prefabrication time consumption sequence, and the first prefabrication time consumption information is sequentially called from the prefabrication time consumption sequence; the K section steel pedestal configurations are serialized with reference to the K construction scheduling orders to obtain a configuration calling sequence, and the first section steel pedestal configurations are sequentially called from the configuration calling sequence steel pedestal configuration; in the scheduling requirement of the steel pedestal, the first steel pedestal configuration is eliminated to obtain a first configuration redundancy; the first configuration redundancy and the first prefabrication time-consuming information are used to traverse the remaining K-1 prefabrication time-consuming information in the prefabrication time-consuming sequence and the remaining K-1 steel pedestal configurations in the configuration call sequence, locate the synchronous prefabricated beams, and update the scheduling order according to the mapping of the synchronous prefabricated beams in the K construction scheduling orders; and so on, according to the prefabrication time analysis results and the scheduling requirement of the steel pedestal, the K construction scheduling orders are optimized to obtain the K updated scheduling orders.

[0012] In a possible implementation, the K update scheduling orders are used as constraints, and the prefabricated steel pedestal is called from the spare steel pedestal library to perform intelligent construction preparation of the K prefabricated beams to be manufactured, and the following processing is also performed: the first update scheduling order is sequentially extracted from the K update scheduling orders; based on the mapping relationship between the first update scheduling order and the K construction scheduling orders, the first steel pedestal configuration is obtained from the K steel pedestal configuration calls, and the first steel pedestal layout is obtained from the K steel pedestal layout calls; the first steel pedestal configuration is used as the construction call constraint of the prefabricated steel pedestal, and the first steel pedestal layout is used as the construction position constraint of the prefabricated steel pedestal, and the prefabricated steel pedestal is called and spliced ​​from the spare steel pedestal library to perform construction preparation of the prefabricated beams to be manufactured; and so on, the construction preparation of the K prefabricated beams to be manufactured is performed.

[0013] The intelligent construction method of prefabricated steel pedestals in a prefabricated beam yard proposed in this application is proposed to obtain the prefabricated beam construction sequence from the prefabricated beam order; the interactive construction management center obtains multiple steel pedestal models of various prefabricated steel pedestals; obtains the scheduling requirements of the steel pedestals; calls idle steel pedestals to obtain a spare steel pedestal library; and optimizes K construction scheduling sequences according to the prefabrication time analysis results and the scheduling requirements of the steel pedestals, obtains K updated scheduling sequences; and performs intelligent construction preparation. It solves the technical problem that the matching of the construction sequence and the prefabricated steel pedestals in the existing steel pedestal construction often relies on manual experience scheduling, resulting in resource mismatch, which in turn leads to low efficiency and low production efficiency of the steel pedestals due to unreasonable scheduling, and realizes the precise matching of construction sequence and equipment scheduling, achieving the technical effect of improving the utilization rate of steel pedestals, production flexibility and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of a process flow of an intelligent construction method for an assembled steel pedestal in a prefabricated beam yard provided in an embodiment of the present application; Figure 2 A schematic diagram of a flow chart for obtaining a configuration layout of a steel pedestal in an intelligent construction method for an assembled steel pedestal in a precast beam yard provided in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0017] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0018] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0019] The present application embodiment provides an intelligent construction method for a prefabricated beam field assembled steel pedestal, such as Figure 1 As shown, the method includes: Step S100, receiving a precast beam order, and extracting a precast beam construction sequence from the precast beam order, wherein the precast beam construction sequence includes K geometric dimension information of K precast beams to be manufactured and K construction scheduling orders, wherein K is a positive integer.

[0020] Preferably, the prefabricated pedestal of the assembled steel box girder mainly transfers the box girder load to the concrete foundation from top to bottom through the panel, channel steel, and I-beam in sequence. The standard section I-beam and channel steel are the main components of the pedestal to bear the vertical load, the panel is used as the bottom support of the beam, and all contact surfaces are connected by welding. Specifically, the prefabricated beam production demand of the project is received, and the specific information of the prefabricated beam is obtained from the order, that is, the prefabricated beam construction sequence is extracted. The prefabricated beam construction sequence refers to the order of production according to the construction plan, including geometric dimension information (such as length, width, height, etc.) of K prefabricated beams to be manufactured and their construction scheduling order, wherein K is a positive integer, indicating that there are K prefabricated beams, and these beams have unique geometric dimensions and production order, and the K geometric dimension information indicates that each prefabricated beam to be manufactured has its specific geometric dimensions (such as length, width, height, etc.), and a total of K geometric dimension data are included. The production and construction of these prefabricated beams need to be carried out in a certain order, and the K construction scheduling orders refer to the production scheduling and priority order arrangement of these K prefabricated beams.

[0021] Step S200: the interactive construction management center obtains multiple steel pedestal models of multiple types of assembled steel pedestals.

[0022] Preferably, during the construction process, multiple construction models corresponding to the steel pedestals can be accessed and obtained by interacting with the construction management center. These models represent different types of assembled steel pedestals, and their function is to be used for the production of precast beams. By obtaining multiple steel pedestal models, the geometric and structural characteristics of each pedestal can be analyzed, and reasonable scheduling can be performed to select a suitable pedestal for the construction of precast beams of different geometric sizes. Among them, the main function of the steel pedestal in the precast beam yard is to serve as a supporting structure for supporting and fixing the position and shape of the precast beams during the production process, ensuring that the beam body can remain stable during the pouring and hardening of concrete. The main function is to provide strong and stable support for the precast beams, rather than completely wrapping and forming an object like a mold, and maintaining the precise shape and angle of the beam body during the production process; the steel pedestal is usually assembled, can be adjusted according to different beam and column sizes, and can be disassembled and reused. Unlike traditional mold blanks (usually disposable or non-adjustable), assembled steel pedestals provide higher flexibility and efficiency.

[0023] Step S300: performing correlation analysis based on the K geometric dimension information and multiple steel pedestal models to obtain the scheduling requirements of the steel pedestal.

[0024] Preferably, by comparing and analyzing the geometric dimension information of K precast beams with multiple steel pedestal models, the scheduling requirements of the steel pedestals are determined, that is, the types and quantities of suitable steel pedestals are determined. Specifically, the geometric information of the precast beams, such as length, width, and height, is analyzed and matched with the size and structural characteristics of the steel pedestals to determine which pedestals are suitable for the production of each precast beam; according to the pedestal model and the geometric information of the precast beams, combined with the production process requirements, the load capacity of each pedestal, the geometric range of the precast beams, and other parameters are analyzed to ensure that the pedestals can meet the manufacturing requirements; by analyzing the number and type of suitable pedestals, the scheduling requirements of the steel pedestals are generated, that is, in order to complete the production of these precast beams, which steel pedestals are needed, and the time and order in which each steel pedestal needs to be scheduled, which helps to reasonably arrange the resource allocation in the production process and avoid resource waste and production interruption. The use of steel pedestals is optimized through association analysis, and the production efficiency is improved, ensuring that the manufacturing requirements of precast beams of different sizes can be flexibly responded to during the production process.

[0025] In a possible implementation, step S300 further includes step S310, modeling and restoring K prefabricated beam models based on the K geometric dimension information; step S320, using the K prefabricated beam models as constraints, performing assembly fitting on the multiple steel pedestal models to obtain K steel pedestal configurations and K steel pedestal layouts; step S330, performing correlation analysis on the K steel pedestal configurations and multiple prefabricated steel pedestals to obtain steel pedestal scheduling requirements.

[0026] Preferably, the key information extracted from the precast beam order includes the geometric data of each precast beam, such as length, width, height, shape, etc., and CAD (computer-aided design) is used to establish a three-dimensional model for each corresponding precast beam to be manufactured based on these geometric dimension information, and the geometric dimensions are converted into a three-dimensional digital model, that is, K precast beam models are obtained. These models can accurately restore the structure and dimensions of each precast beam. The generation of these precast beam models is used to simulate and verify the construction process to ensure that the manufacture of each precast beam meets the design requirements; the precast beam model not only shows its geometric dimensions, but also defines the dimensions that need to be used in the manufacturing process. The type and layout of the pedestals are determined by the constraints. The size and shape of these models will directly determine which steel pedestals need to be used for support and assembly. The steel pedestal model is a structure that provides support for precast beams of different geometric sizes and shapes. According to the model characteristics of each precast beam, find the steel pedestals that can match these beams. The steel pedestals can be standardized components, but they can also be adjusted according to special requirements. Specifically, by pairing the precast beam model and the pedestal model, determine which pedestals can adapt to the structure and size of the precast beam, ensure that the steel pedestal can provide stable support for the precast beam, and avoid using errors or mismatches. The configuration of steel pedestals refers to determining which specific types of steel pedestals are required for each precast beam based on the fitting results, which may include the number, specifications, load-bearing capacity and other information of the pedestals. For example, a larger precast beam may require a combination of multiple high-strength pedestals, while a small precast beam may only require a few pedestals. The layout of steel pedestals refers to how to place these pedestals in the precast beam yard to support each precast beam, ensuring that the pedestal layout can maximize the use of space, avoid conflicts between pedestals, facilitate robot arm operation, reduce the frequency of pedestal adjustments, etc.; compare and analyze the generated pedestal configuration and layout with the existing pedestal resources, To determine whether there are sufficient resources to meet the demand and whether additional pedestals need to be purchased or scheduled. For example, check whether there are pedestals in the existing steel pedestal library that meet the current configuration requirements. By analyzing the use of pedestals in the current construction tasks, identify whether there are idle pedestals that can be reused, optimize the scheduling and utilization of resources, and finally obtain the scheduling requirements for steel pedestals, that is, the resource requirement table generated according to the above analysis results, which describes the types, quantities and time arrangements of steel pedestals required to meet the current construction plan, ensure that suitable steel pedestal supports can be obtained during the construction process, and ensure the smooth manufacture of prefabricated beams.

[0027] In one possible implementation, Figure 2As shown, step S320 further includes step S321, interactively obtaining multiple sample configuration information of multiple decomposed foundation beams, wherein each sample configuration information in the multiple sample configuration information includes a sample steel pedestal configuration and a sample steel pedestal layout; step S322, storing the multiple decomposed foundation beams and the multiple sample configuration information based on the knowledge graph association, and obtaining a precast beam configuration model; step S323, interactively obtaining multiple sample geometric size information of multiple sample precast beams and multiple groups of decomposed foundation beams; step S324, constructing the multiple precast beams based on the multiple sample geometric size information After obtaining multiple sample precast beam models of K sample precast beams, the multiple sample precast beam models and multiple groups of decomposed basic beams are used to train to obtain a precast beam decomposition model; step S325, synchronizing the K precast beam models to the precast beam decomposition model to obtain K groups of decomposed basic beams; step S326, using the K groups of decomposed basic beams to traverse the precast beam configuration model to obtain K groups of decomposed steel pedestal layouts and the K steel pedestal configurations; step S327, performing spatial positioning on the K groups of decomposed steel pedestal layouts based on the K precast beam models to obtain the K steel pedestal layouts.

[0028] Preferably, the multiple decomposed foundation beams refer to the foundation beam structure used to construct the precast beams. The decomposed foundation beams are the basic modules used to describe the precast beam manufacturing process. The sample configuration information includes the steel pedestal configuration and layout of the multiple sample precast beams. Each sample configuration information includes the sample steel pedestal configuration and the sample steel pedestal layout. The sample steel pedestal configuration is detailed information about how to use the steel pedestal to support and fix the sample precast beam, involving the type, quantity, specifications, etc. of the pedestal. The sample steel pedestal layout refers to how to place these pedestals in the precast beam manufacturing process so that they can effectively support the decomposed foundation beams. The knowledge graph is used to store the decomposed foundation beams and sample The association relationship between configuration information. The knowledge graph is a data structure used to associate and store a large amount of complex information. The knowledge graph is used to understand the relationship between different foundation beams and the configuration and layout of steel pedestals. By analyzing the information stored in the knowledge graph, a precast beam configuration model is generated, that is, a model that describes how to configure steel pedestals, decomposed foundation beams and related equipment in actual production; sample geometric dimension information and multiple groups of decomposed foundation beams are obtained interactively. The geometric dimension information of each sample precast beam describes the physical properties of the precast beam, such as length, width, and height. Through decomposition, the pedestal can be managed and configured more flexibly to cope with precast beams of different sizes and shapes.

[0029] Preferably, a three-dimensional model is established for each sample precast beam according to the acquired geometric dimension information to accurately describe the physical structure of the precast beam. By combining the sample precast beam model with the decomposed foundation beam, a precast beam decomposition model is constructed and trained based on the machine learning model. It is learned how to decompose different precast beams into foundation beams and configure suitable steel pedestals for support, and finally a model that can handle the decomposition and configuration problems of different precast beams is obtained. The K precast beam models in the actual project are synchronized with the precast beam decomposition model obtained by the previous training. That is, the K precast beams are input into the precast beam decomposition model for automatic decomposition. Through the decomposition model, the K precast beams are decomposed into a combination of foundation beams, and each precast beam model will generate a set of decomposed foundation beams corresponding thereto. By traversing the precast beam configuration model, a suitable pedestal configuration scheme and layout are found for each decomposed foundation beam. The beam configuration model stores the configuration rules and layout plans for steel pedestals. Each decomposed base beam of a precast beam will have a corresponding pedestal layout, which describes the specific placement method, position and arrangement order of the pedestal to ensure that the pedestal can provide sufficient support for the decomposed base beam. It also generates a configuration plan for K steel pedestals, that is, the type, quantity and specifications of the steel pedestals required in the decomposition process of each precast beam; spatial positioning refers to determining the position of the steel pedestal in the actual construction site based on the three-dimensional structure of each precast beam model, including assigning accurate physical coordinates to each pedestal to ensure that the pedestal can be placed in the correct position during construction. Specifically, by spatially positioning K groups of decomposed steel pedestals, the specific layout of the steel pedestals in the construction site is finally determined. These layouts not only meet the geometric requirements of precast beams, but also take into account the spatial limitations and resource distribution of the construction site.

[0030] In a possible implementation, step S330 further includes step S331, using the multiple prefabricated steel pedestals to traverse the K steel pedestal configurations to perform application frequency statistics to obtain multiple application frequency arrays; step S332, performing extreme value calls on the multiple application frequency arrays to obtain multiple steel pedestal scheduling quantities; step S333, associatively storing the multiple prefabricated steel pedestals and the multiple steel pedestal scheduling quantities to obtain the steel pedestal scheduling requirements.

[0031] Furthermore, step S332 also includes that, in the multiple application frequency arrays, each application frequency array includes K application frequency parameters.

[0032] Preferably, by traversing K steel pedestal configurations, the frequency of use of each steel pedestal in the configuration of K precast beams is counted, and the application frequency of each steel pedestal is determined. For example, some precast beams of common sizes may frequently use certain types of pedestals, while special precast beams may use fewer specific types of pedestals; multiple application frequency arrays are statistical results of the application frequencies of different types of steel pedestals in K precast beams, each steel pedestal (or each pedestal type) has its own application frequency array, which is used to record the use of the pedestal in multiple precast beam construction projects, each application frequency array includes K application frequency parameters, and the K application frequency parameters are parameters for recording in detail the application frequency of a certain steel pedestal in K precast beam projects, K is a positive integer representing the number of different precast beam projects, and each parameter reflects the use of the steel pedestal in a specific precast beam. Each application frequency parameter may include the number of uses, usage time, pedestal position and usage status, etc. For example, the use frequency of a certain type of steel pedestal may change with the increase in the number of precast beams. Extreme value calling refers to extracting extreme value information (maximum value) from these application frequency data. Through extreme value calling, frequently used steel pedestals and less frequently used pedestals can be identified; the dispatch quantity of multiple steel pedestals refers to the number of steel pedestals required to meet construction needs. The actual dispatch quantity of each steel pedestal is determined based on the extreme value calling results to ensure that they can be dispatched on time during the construction process to meet production needs and avoid insufficient or waste of resources; the model information of the steel pedestal (such as specifications, type, and load-bearing capacity) is associated with the corresponding dispatch quantity information and stored to ensure that the appropriate number of pedestals is accurately called during the construction process, and it is more convenient to query and manage the pedestal inventory, dispatch history records, and future dispatch plans; based on the results of frequency statistics and extreme value calling, the number of pedestals that need to be dispatched for each construction task is determined, usually including the types and quantities of multiple pedestals, as well as when and where these pedestals are needed, to ensure that the steel pedestals required during the construction process can be dispatched in a timely and reasonable manner, thereby optimizing resource utilization and dispatch efficiency.

[0033] Step S400: call idle steel pedestals from the construction management center according to the steel pedestal scheduling requirements, and stack the call results in the prefabricated beam yard to obtain a spare steel pedestal library.

[0034] Preferably, during the construction process, the construction management center calls up the currently unused idle steel pedestals according to the previously analyzed scheduling requirements for steel pedestals to ensure that they can be reasonably allocated and used. Specifically, the scheduling requirements for steel pedestals refer to the analysis of the construction project requirements to determine the types and quantities of required steel pedestals. Calling up idle pedestals refers to mobilizing those pedestals that are not in use temporarily from the construction management center according to the scheduling requirements. These called pedestals are stacked or prepared in the precast beam yard for easy use at any time, forming a temporary spare pedestal resource library for immediate call when needed during the production process, to prevent construction interruptions caused by insufficient resources or untimely scheduling, wherein the precast beam yard is a place for producing precast beams. In this way, the pedestal resources in the construction process are reasonably scheduled to avoid waste and improve construction efficiency.

[0035] In a possible implementation, step S400 further includes step S410, performing overhead projection extraction on the K prefabricated beam models to obtain K overhead projection images; step S420, performing maximum overlapping area fitting on the K overhead projection images to obtain a comprehensive overhead projection image; step S430, selecting the comprehensive overhead projection image to obtain a standard construction operation interval; step S440, copying and splicing the standard construction operation interval according to preset arrangement and splicing rules to obtain the prefabricated beam yard, wherein the prefabricated beam yard is 4 times the size of the standard construction operation interval.

[0036] Preferably, the bird's-eye view projection is to project the three-dimensional model onto a plane from a top perspective to form a two-dimensional image, and to perform bird's-eye view projection on the three-dimensional model of each precast beam to obtain bird's-eye view projection images of K precast beam models, each image showing the geometric shape, size and outline of the precast beam from a top perspective; the K bird's-eye view projection images are aligned, and their overlapping areas are found to find the maximum spatial area required by all precast beam models during the construction process. The overlapping area reflects the area that may be used in common by multiple precast beams during construction. Space can be used more efficiently through fitting. The fitted comprehensive bird's-eye view projection image is a two-dimensional image that integrates the projections of K precast beam models, showing their overlapping parts and the boundaries of each model; frame selection is to select a rectangular or other geometric area from the comprehensive bird's-eye view projection image as a standard construction operation interval, which represents the area that can accommodate multiple precast beams for simultaneous construction. Space, standard construction operation interval is used to optimize the utilization of construction space. The size and shape of this interval depends on the overlap and layout of precast beams in the overhead projection image, ensuring that construction equipment and materials can operate efficiently in this area; the arrangement and splicing rules are the arrangement methods designed for standard construction operation intervals, ensuring that multiple intervals can be seamlessly spliced ​​to form a larger construction site, including how to arrange intervals (such as horizontal or vertical arrangement), whether overlap is required, and spacing settings. According to the preset splicing rules, the standard construction operation interval is copied and spliced ​​to expand the construction site. For example, if the standard interval is a rectangular area, multiple such areas can be copied in the vertical and horizontal directions to form a larger precast beam yard. The area of ​​the spliced ​​precast beam yard is 4 times that of a single standard construction operation interval, that is, by copying twice the standard interval in the horizontal and vertical directions, a precast beam yard with a total area of ​​4 times the original standard construction operation interval is formed. It effectively provides a solution for space planning and layout optimization for complex precast beam construction, ensuring that the construction site can accommodate more precast beams while optimizing space utilization.

[0037] Step S500, performing prefabrication time analysis on the K prefabricated beams to be manufactured, and optimizing the K construction scheduling orders according to the prefabrication time analysis results and the scheduling requirements of the steel pedestal to obtain K updated scheduling orders.

[0038] Preferably, in the intelligent construction method of the assembled steel pedestal in the precast beam yard, a precast time consumption analysis is performed on K precast beams to be manufactured, and the K construction scheduling orders are optimized according to the precast time consumption analysis results and the scheduling requirements of the steel pedestal. Specifically, the precast time consumption analysis refers to referring to the production data of similar precast beams in the past, combining the current production conditions and technical level, and simulating the production process by using simulation technology. According to the geometric dimension information (such as length, width, height, weight, etc.) of each precast beam and specific process requirements (such as concrete strength grade, steel bar configuration, etc.), the production complexity and time consumption of each precast beam are analyzed, and the time consumption of each production link from batching, mixing, pouring, curing to demoulding is analyzed in detail, especially the impact of key links (such as curing time) on the overall production cycle, so as to predict the time consumption of each production link; the optimization goal is determined to minimize the total production time (by optimizing the construction scheduling order, Reduce waiting time and idle time to shorten the overall production time) and balance the resource utilization of steel pedestals (ensure that key resources such as steel pedestals are fully utilized to avoid resource waste and bottlenecks). According to the results of prefabrication time analysis, prefabricated beams that take a long time are given priority in production to reduce waiting time. Combined with the scheduling requirements of steel pedestals (such as the number, specifications, and location of pedestals), the production sequence of prefabricated beams is reasonably arranged to ensure that pedestal resources are fully utilized. During the production process, the construction scheduling sequence is dynamically adjusted according to actual conditions (such as equipment failure, material supply, etc.) to ensure the flexibility and executability of the production plan. Finally, K updated scheduling sequences are obtained, that is, the production sequence of K new prefabricated beams to be manufactured. The new scheduling sequence can better adapt to the actual production situation, ensure that the production sequence of each prefabricated beam is more reasonable, resource utilization efficiency is higher, waiting and idle time is reduced, and production efficiency and resource utilization are improved.

[0039] In a possible implementation, step S500 further includes step S510, extracting and obtaining K prefabricated beam reinforcement configurations and K prefabricated beam prestresses from the prefabricated beam order; step S520, synchronizing the K prefabricated beam reinforcement configurations, K prefabricated beam prestresses and K prefabricated beam models to a pre-built prefabrication time consumption analysis model, and outputting the prefabrication time consumption analysis result, wherein the prefabrication time consumption analysis result includes K prefabrication time consumption information; step S530, serializing the K prefabrication time consumption information with reference to the K construction scheduling orders, obtaining a prefabrication time consumption sequence, and sequentially calling the first prefabrication time consumption information from the prefabrication time consumption sequence; step S540, serializing the K steel sections with reference to the K construction scheduling orders Pedestal configuration, obtain a configuration calling sequence, and sequentially call the first steel pedestal configuration from the configuration calling sequence; step S550, remove the first steel pedestal configuration from the steel pedestal scheduling requirement to obtain the first configuration redundancy; step S560, use the first configuration redundancy and the first prefabrication time information to traverse the remaining K-1 prefabrication time information in the prefabrication time sequence and the remaining K-1 steel pedestal configurations in the configuration calling sequence, locate the synchronous prefabricated beams, and update the scheduling order according to the synchronous prefabricated beams mapped in the K construction scheduling orders; step S570, and so on, optimize the K construction scheduling orders according to the prefabrication time analysis results and the steel pedestal scheduling requirements, and obtain the K updated scheduling orders.

[0040] Preferably, the reinforcement configuration of each precast beam extracted from the precast beam order determines the strength, structural stability and construction difficulty of each precast beam. The extracted K precast beam prestresses refer to the prestress design in the precast beam. The prestress is an additional force applied to the beam body during the manufacturing process. The purpose is to increase the tensile strength of the beam. The size and distribution of the prestress will also affect the construction complexity and time consumption of the precast beam. The K precast beam reinforcement configurations and the K precast beam prestresses are synchronized to the precast time consumption analysis model, and the time consumption information of each precast beam is output, that is, K precast time consumption information, which represents the time consumption of each precast beam in The estimated time required in the production process, wherein the prefabrication time analysis model is a pre-built analysis model that can calculate the prefabrication time of each prefabricated beam based on the design, reinforcement configuration, prestressing, and geometric structure of the prefabricated beam, taking into account multiple factors including construction difficulty, material preparation time, and construction technology, and arrange the K prefabrication time information in a certain order (such as the construction scheduling order) to form a prefabrication time sequence, which is helpful to call the corresponding time information according to the priority of the construction scheduling. According to the priority in the sequence, the time information of the first prefabricated beam is called first.

[0041] Preferably, similar to the prefabrication time-consuming information, the steel pedestal configuration is also sorted according to the construction scheduling order. This configuration calls the serialization process to arrange the K steel pedestal configurations in order to ensure that the pedestal resources can be reasonably scheduled, and the first steel pedestal configuration is called from the sequence to match the construction of the first prefabricated beam. The steel pedestal configuration of the first prefabricated beam is eliminated in the steel pedestal scheduling requirements to avoid repeated scheduling and waste of resources. The result after elimination is that the first configuration is redundant, which refers to the remaining steel pedestal resources; for the remaining K-1 prefabricated beams, continue to traverse the remaining time-consuming information and steel pedestal configurations, and each prefabricated beam will be synchronously scheduled based on its time-consuming information and steel pedestal configuration to ensure reasonable resource allocation. In each traversal, the same The precast beam is prefabricated in steps, that is, the steel pedestals with matching time consumption information and completely different steel pedestal configurations are found in the scheduling requirements of the eliminated steel pedestals. For example, two precast beams to be manufactured with matching time consumption information but different steel pedestal configurations can be operated in the precast beam yard, and then the construction scheduling order is dynamically adjusted according to the scheduling results of each synchronous precast beam to ensure that the construction resources are optimally utilized in both time and space; by continuously analyzing the time consumption of each precast beam and the scheduling requirements of the steel pedestal, the construction scheduling order of K precast beams is optimized, aiming to reduce the construction time and improve the resource utilization rate, and finally a set of updated scheduling orders are generated, which are the results of time consumption analysis and resource allocation, ensuring that each precast beam can be completed according to the optimal time and resource arrangement.

[0042] Step S600, taking the K update scheduling orders as constraints, calling the assembled steel pedestal from the spare steel pedestal library, and performing intelligent construction preparation of the K prefabricated beams to be manufactured.

[0043] Preferably, K update scheduling orders are used as the core constraints of intelligent construction, and the construction time and priority of each precast beam are arranged according to this update scheduling order to ensure that the construction process is carried out in the optimal order. Specifically, assembled steel pedestals of different models and configurations are called from the spare steel pedestal library to adapt to precast beams of different sizes and shapes, ensuring that suitable pedestals can be flexibly called when manufacturing different precast beams, wherein the time point of the call is determined by the scheduling order, ensuring that each precast beam can obtain a suitable pedestal in time when a pedestal support is needed, and dynamically allocate suitable steel pedestals according to the real-time construction progress, the geometric dimensions of the precast beams and the current availability of the pedestals, so that the steel pedestals are optimally obtained. The intelligent construction refers to the combination of automation equipment, intelligent scheduling system and information technology to achieve efficient construction process. In prefabricated beam manufacturing, intelligent construction includes intelligent control of mechanical equipment, automatic scheduling of pedestal resources, and real-time monitoring and adjustment of construction progress. Specifically, the production time, pedestal call time and resource allocation of each prefabricated beam are automatically arranged to ensure that the entire construction process is carried out in the optimal scheduling order. The manufacturing process of prefabricated beams is completed by mechanical equipment, and the operation of the equipment is also controlled by the intelligent system. For example, the installation of steel pedestals, the forming and processing of prefabricated beams can be achieved through automation technology. Through intelligent system scheduling, the utilization rate of steel pedestal resources is maximized, avoiding resource waste. The dynamic call and real-time deployment of steel pedestals make the construction process more efficient. Due to the intelligent optimization of construction order and resource scheduling, the production cycle of the entire prefabricated beam is shortened, the efficiency is significantly improved, and the utilization rate of steel pedestal resources is also improved.

[0044] In a possible implementation, step S600 further includes step S610, sequentially extracting a first update scheduling order from the K update scheduling orders; step S620, based on the mapping relationship between the first update scheduling order and the K construction scheduling orders, obtaining a first steel pedestal configuration from the K steel pedestal configuration calls, and obtaining a first steel pedestal layout from the K steel pedestal layout calls; step S630, using the first steel pedestal configuration as the construction call constraint of the prefabricated steel pedestal, using the first steel pedestal layout as the construction position constraint of the prefabricated steel pedestal, calling and splicing the prefabricated steel pedestal from the spare steel pedestal library, and executing the construction preparation of the prefabricated beams to be manufactured; step S640, and so on, executing the construction preparation of the K prefabricated beams to be manufactured.

[0045] Preferably, the first updated scheduling order is extracted in sequence from the K updated scheduling orders to guide the construction plan of the earliest batch of precast beams to be manufactured. According to the mapping relationship between the first updated scheduling order and the K construction scheduling orders, it helps to understand how to trace back to the initial construction plan from the optimized update order, so as to ensure that the resource call is consistent with the original plan. From the K steel pedestal configurations, the first steel pedestal configuration is called out according to the first updated scheduling order, that is, the specific pedestal type, quantity and specification required for the precast beam are found to support the construction of the precast beam. From the K steel pedestal layouts, the steel pedestal layout corresponding to the first precast beam is called out, and the specific position arrangement of the steel pedestals in the construction site is defined to ensure that the pedestals can be reasonably distributed to support the entire precast beam structure. The first steel pedestal configuration will be used as a construction call constraint, and the first steel pedestal layout will be used as a construction position constraint to ensure The dispatched steel pedestals meet this configuration requirement, avoiding the inappropriate or mismatched pedestals, and the placement of the pedestals at the construction site meets the predetermined design requirements. Then, according to the above configuration and layout constraints, the system calls the corresponding steel pedestals from the spare steel pedestal library, that is, calls out the unoccupied pedestals from the existing resources, and splices and combines multiple steel pedestals as needed to support the prefabricated beams to be manufactured. After the steel pedestals are dispatched in place, the specific prefabricated beam construction process begins, including the actual generation of the prefabricated beam model, using the dispatched steel pedestals as the supporting structure for production, strictly abiding by the configuration and layout of the steel pedestals, ensuring that each pedestal is reasonably used at the right time and location, thereby ensuring the accuracy and effectiveness of the construction. When the construction of the first prefabricated beam is completed, the construction preparation of K prefabricated beams will continue to be gradually executed in accordance with the updated scheduling order until the construction tasks of all K prefabricated beams are completed. Through strict call constraints and position control, the accuracy and efficiency of the construction process are ensured, while maximizing resource utilization.

[0046] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An intelligent construction method for a prefabricated beam field assembled steel pedestal, characterized in that: The method comprises: Receiving a prefabricated beam order, and extracting a prefabricated beam construction sequence from the prefabricated beam order, wherein the prefabricated beam construction sequence includes K geometric dimension information of K prefabricated beams to be manufactured and K construction scheduling orders, wherein K is a positive integer; The interactive construction management center obtains multiple steel pedestal models of various assembled steel pedestals; Perform correlation analysis based on the K geometric dimension information and multiple steel pedestal models to obtain the scheduling requirements of the steel pedestal; According to the scheduling requirements of the steel pedestals, idle steel pedestals are called from the construction management center, and the call results are stacked in the prefabricated beam yard to obtain a spare steel pedestal library; Performing prefabrication time analysis on the K prefabricated beams to be manufactured, and optimizing the K construction scheduling orders according to the prefabrication time analysis results and the scheduling requirements of the steel pedestal to obtain K updated scheduling orders; With the K update scheduling orders as constraints, the assembled steel pedestals are called from the spare steel pedestal library to carry out intelligent construction preparation of the K prefabricated beams to be manufactured.

2. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 1, characterized in that: According to the K geometric dimension information and the multiple steel pedestal models, correlation analysis is performed to obtain the scheduling requirements of the steel pedestal, and the method further includes: Modeling and restoring K prefabricated beam models according to the K geometric dimension information; Using the K prefabricated beam models as constraints, performing assembly fitting on the multiple steel pedestal models to obtain K steel pedestal configurations and K steel pedestal layouts; The K steel pedestal configurations and various assembled steel pedestals are analyzed in association to obtain the scheduling requirements of the steel pedestals.

3. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 2, characterized in that: Using the K prefabricated beam models as constraints, performing assembly fitting on the multiple steel pedestal models to obtain K steel pedestal configurations and K steel pedestal layouts, the method further includes: Interactively obtain multiple sample configuration information of multiple decomposed foundation beams, wherein each sample configuration information in the multiple sample configuration information includes a sample steel pedestal configuration and a sample steel pedestal layout; The plurality of decomposed basic beams and the plurality of sample configuration information are stored in association with each other based on the knowledge graph to obtain a precast beam configuration model; Interactively obtain multiple sample geometric size information of multiple sample precast beams and multiple groups of decomposed foundation beams; After constructing a plurality of sample precast beam models of the plurality of sample precast beams based on the plurality of sample geometric dimension information, a precast beam decomposition model is obtained by using the plurality of sample precast beam models and a plurality of groups of decomposed basic beam training; Synchronize the K precast beam models to the precast beam decomposition model to obtain K groups of decomposed foundation beams; The K groups of decomposed foundation beams are used to traverse the precast beam configuration model to obtain the K groups of decomposed steel pedestal layouts and the K steel pedestal configurations; Based on the K precast beam models, spatial positioning is performed on the K groups of decomposed steel pedestal layouts to obtain the K steel pedestal layouts.

4. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 2, characterized in that: Performing correlation analysis on the K steel pedestal configurations and multiple assembled steel pedestals to obtain the steel pedestal scheduling requirements, the method further includes: Using the multiple types of assembled steel pedestals to traverse the K steel pedestal configurations to perform application frequency statistics to obtain multiple application frequency arrays; Performing extreme value calls on the multiple application frequency arrays to obtain multiple section steel pedestal scheduling quantities; The plurality of assembled steel pedestals and the scheduling quantities of the plurality of steel pedestals are stored in association to obtain the scheduling requirements of the steel pedestals.

5. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 4, characterized in that: Among the multiple application frequency arrays, each application frequency array includes K application frequency parameters.

6. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 2, characterized in that: The construction management center calls idle steel pedestals according to the plurality of steel pedestals, and stacks the call results in the prefabricated beam yard. Before that, the method further includes: Performing top-view projection extraction on the K prefabricated beam models to obtain K top-view projection images; Performing maximum overlapping area fitting on the K top-view projection images to obtain a comprehensive top-view projection image; Select the comprehensive overhead projection image to obtain a standard construction operation area; The standard construction operation interval is copied and spliced ​​according to preset arrangement and splicing rules to obtain the precast beam yard, wherein the precast beam yard is 4 times the size of the standard construction operation interval.

7. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 2, characterized in that: Performing prefabrication time analysis on the K prefabricated beams to be manufactured, and optimizing the K construction scheduling orders according to the prefabrication time analysis results and the scheduling requirements of the steel pedestal to obtain K updated scheduling orders, the method further comprising: Extract K precast beam reinforcement configurations and K precast beam prestressing forces from the precast beam order; Synchronize the K prefabricated beam reinforcement configurations, the K prefabricated beam prestresses and the K prefabricated beam models to the pre-built prefabrication time consumption analysis model, and output the prefabrication time consumption analysis result, wherein the prefabrication time consumption analysis result includes K prefabrication time consumption information; Serialize the K prefabrication time-consuming information with reference to the K construction scheduling orders to obtain a prefabrication time-consuming sequence, and sequentially call the first prefabrication time-consuming information from the prefabrication time-consuming sequence; Serialize the K section steel pedestal configurations with reference to the K construction scheduling orders to obtain a configuration calling sequence, and sequentially call the first section steel pedestal configuration from the configuration calling sequence; Eliminating the first steel pedestal configuration in the steel pedestal scheduling requirement to obtain a first configuration redundancy; The first configuration redundancy and the first prefabrication time-consuming information are used to traverse the remaining K-1 prefabrication time-consuming information in the prefabrication time-consuming sequence and the remaining K-1 steel pedestal configurations in the configuration call sequence, locate the synchronous prefabricated beams, and update the scheduling order according to the synchronous prefabricated beams mapped in the K construction scheduling orders; By analogy, the K construction scheduling orders are optimized according to the prefabrication time analysis results and the steel pedestal scheduling requirements to obtain the K updated scheduling orders.

8. The intelligent construction method of the prefabricated beam field assembled steel pedestal as claimed in claim 7, characterized in that: Taking the K update scheduling orders as constraints, calling the assembled steel pedestal from the spare steel pedestal library, and performing intelligent construction preparation of the K prefabricated beams to be manufactured, the method further includes: sequentially extracting a first update scheduling order from the K update scheduling orders; Based on the mapping relationship between the first update scheduling order and the K construction scheduling orders, a first steel pedestal configuration is obtained from the K steel pedestal configuration calls, and a first steel pedestal layout is obtained from the K steel pedestal layout calls; The first steel pedestal is configured as a construction call constraint for an assembled steel pedestal, and the first steel pedestal layout is used as a construction position constraint for an assembled steel pedestal. The assembled steel pedestal is called and spliced ​​from the spare steel pedestal library to perform construction preparation for the prefabricated beam to be manufactured. In this way, the construction preparation of the K prefabricated beams to be manufactured is performed.

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