Intelligent construction method, device, equipment and medium for large steel structure

Abstract

The embodiment of the present application discloses a method, device, equipment and medium for intelligent construction of large steel structures. The method includes: obtaining a BIM model of a large steel structure; cutting the component plates corresponding to the BIM models of each component plate respectively by automatic cutting equipment; obtaining the component plate point cloud model of each component plate; performing cutting accuracy verification on the component plate by the corresponding component plate point cloud model and the corresponding component plate BIM model to obtain the cutting accuracy verification result corresponding to the component plate; when the cutting accuracy verification results of each component plate are all verified, assembling and welding to obtain the steel components of the corresponding steel component BIM model; performing splicing accuracy verification on each steel component; when the splicing accuracy inspection results of each steel component are all verified, assembling and welding based on the steel component lofting auxiliary assembly and welding to obtain the large steel structure BIM model corresponding to the large steel structure. This embodiment can reduce the processing error of the steel structure and improve the construction efficiency.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence technology, and in particular to intelligent construction methods, devices, equipment and media for large steel structures. Background Art

[0002] With the increasing number of infrastructure construction, the construction of large and complex public buildings such as airports, stadiums, stations, shopping malls, etc. is increasing, and large buildings are mainly large-span and diversified in appearance. Steel structures are light in weight, fast in construction speed, large in span, and can meet the needs of special-shaped structure construction. These characteristics of building requirements determine that steel structures are the choice of large and complex buildings.

[0003] Due to the requirements of architectural characteristics, the size of steel components in large steel structures is getting larger and larger. These large-sized steel components are assembled and welded from multiple component plates. During the assembly and welding process, it is very easy for the steel components to accumulate large errors due to the cutting errors of each component plate. However, in the prior art, due to the large scale of the component plates in the steel components and the fact that some component plates are special-shaped components, it is difficult to accurately cut and measure the component plates manually. Therefore, the steel components obtained by welding and assembly in the later stage are prone to large steel structure processing errors due to the accumulated errors. Steel structures with large processing errors need to be reworked, which reduces the construction efficiency. Summary of the invention

[0004] The embodiments of the present application provide a method, device, equipment and medium for intelligent construction of large steel structures, which can reduce processing errors of steel structures and improve construction efficiency.

[0005] In a first aspect, an embodiment of the present application provides an intelligent construction method for a large steel structure, which includes:

[0006] Acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models;

[0007] Inputting the three-dimensional size information of the component plates of each component plate BIM model into the automatic cutting device respectively, so as to obtain component plates corresponding to each component plate BIM model respectively through the automatic cutting device;

[0008] By three-dimensional laser scanning, a point cloud model of each component plate is obtained;

[0009] For each of the component plates, the cutting accuracy of the component plate is verified by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate;

[0010] For each of the steel component BIM models, when the cutting accuracy verification results of each of the associated component plates are all verified to be passed, the steel component BIM model is input into a first laser-assisted measurement and layout device, so that the first laser-assisted measurement and layout device is used to assist in the layout of the associated multiple component plates, and the steel component corresponding to the steel component BIM model is obtained by assembling and welding the component plates based on the auxiliary layout;

[0011] Obtaining steel component point cloud models of each of the steel components through three-dimensional laser scanning;

[0012] For each of the steel components, the splicing accuracy of the steel component is checked by using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy test result corresponding to the steel component;

[0013] When all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into the second laser-assisted measurement and layout device, so that the second laser-assisted measurement and layout device is used to assist in the layout of the multiple steel components, and the large-scale steel structure BIM model corresponding to the large-scale steel structure is obtained based on the steel component layout-assisted assembly and welding.

[0014] In a second aspect, the present application also provides an intelligent construction device for a large steel structure, which includes:

[0015] A first acquisition unit is used to acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models;

[0016] The first input unit is used to input the three-dimensional size information of the component plate of each component plate BIM model into the automatic cutting device, so as to obtain the component plates corresponding to each component plate BIM model respectively through the automatic cutting device;

[0017] A second acquisition unit is used to respectively acquire a component plate point cloud model of each component plate through three-dimensional laser scanning;

[0018] The first verification unit is used to verify the cutting accuracy of each component plate by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain a cutting accuracy verification result corresponding to the component plate;

[0019] The second input unit is used for inputting the steel component BIM model into the first laser-assisted measurement and layout device for assisting the associated plurality of component plates in component plate layout, and obtaining the steel component corresponding to the steel component BIM model by assembling and welding the component plates based on the component plate layout assistance, when the cutting accuracy verification results of the associated component plates are all verified to have passed the verification;

[0020] A third acquisition unit is used to respectively acquire a steel component point cloud model of each of the steel components through three-dimensional laser scanning;

[0021] A second verification unit is used to verify the splicing accuracy of each steel component through the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component, so as to obtain a splicing accuracy inspection result corresponding to the steel component;

[0022] The third input unit is used to input the large-scale steel structure BIM model into the second laser-assisted measurement and layout device when all the splicing accuracy inspection results are passed, so as to assist in the layout of the multiple steel components through the second laser-assisted measurement and layout device, and obtain the large-scale steel structure corresponding to the large-scale steel structure BIM model based on the steel component layout-assisted assembly and welding.

[0023] In a third aspect, an embodiment of the present application further provides a computer device, which includes a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the above method when executing the computer program.

[0024] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the storage medium stores a computer program, wherein the computer program includes program instructions, and wherein the program instructions can implement the above method when executed by a processor.

[0025] The embodiments of the present application provide a method, device, equipment and medium for intelligent construction of large steel structures. The method includes: obtaining a large steel structure BIM model, wherein the large steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models; inputting the three-dimensional size information of the component plates of each of the component plate BIM models into the automatic cutting equipment respectively, so as to obtain the component plates corresponding to each of the component plate BIM models respectively through the automatic cutting equipment; obtaining the component plate point cloud model of each of the component plates respectively through three-dimensional laser scanning; for each of the component plates, performing a cutting accuracy check on the component plate through the corresponding component plate point cloud model and the corresponding component plate BIM model, and obtaining the cutting accuracy check result corresponding to the component plate; for each of the steel component BIM models, when the cutting accuracy check results of the associated component plates are all checked, inputting the steel component BIM model into the first laser-assisted The laser-assisted measurement and layout device is used to assist in the component plate layout of the associated multiple component plates through the first laser-assisted measurement and layout device, and the steel components corresponding to the steel component BIM model are obtained by assembling and welding the component plates based on the component plate layout assistance; the steel component point cloud models of each steel component are respectively obtained through three-dimensional laser scanning; for each steel component, the splicing accuracy of the steel component is checked through the corresponding steel component point cloud model and the corresponding steel component BIM model, and the splicing accuracy inspection result corresponding to the steel component is obtained; when all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into the second laser-assisted measurement and layout device, so as to assist in the steel component layout of the multiple steel components through the second laser-assisted measurement and layout device, and the large-scale steel structure corresponding to the large-scale steel structure BIM model is obtained based on the steel component layout assistance assembly and welding. On the one hand, the embodiment of the present application guides the automatic cutting equipment to perform component cutting through the three-dimensional size information of the component plate, and before using the component plate to process the steel component, the cutting accuracy of the component plate will be verified. Only the component plate that has passed the verification can participate in the steel component processing, thereby reducing the processing error of the steel structure, reducing the rework rate of the steel structure, and thus improving the construction efficiency; on the other hand, the embodiment of the present application uses a laser-assisted measurement and layout device to assist in the layout of the component plate and the layout of the steel component, which can ensure the processing and assembly accuracy of the steel component, as well as the installation accuracy of the component, thereby improving the construction accuracy of large steel structures. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 A schematic diagram of a process for an intelligent construction method of a large steel structure provided in an embodiment of the present application;

[0028] Figure 2 A schematic diagram of a sub-process of the intelligent construction method of a large steel structure provided in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of a process flow of an intelligent construction method for a large steel structure provided in another embodiment of the present application;

[0030] Figure 4 A schematic diagram of a sub-process of a method for intelligently constructing a large steel structure provided in another embodiment of the present application;

[0031] Figure 5 A schematic block diagram of an intelligent construction device for a large steel structure provided in an embodiment of the present application;

[0032] Figure 6 A schematic block diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0034] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0035] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0036] It should be further understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0037] The embodiments of the present application provide a method, device, equipment and medium for intelligent construction of large steel structures.

[0038] The executor of the intelligent construction method of the large steel structure may be the intelligent construction device of the large steel structure provided in the embodiment of the present application, or a computer device integrating the intelligent construction device of the large steel structure, wherein the intelligent construction device of the large steel structure may be implemented in hardware or software, and the computer device may be a terminal or a server.

[0039] Figure 1 Schematic diagram of the process of intelligent construction of large steel structures provided in the embodiment of the present application. Figure 1 As shown, the method includes the following steps S110-S180.

[0040] S110, obtaining a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models.

[0041] In this embodiment, the large-scale steel structure building information modeling (BIM) model is a BIM model drawn from a large-scale steel structure design drawing provided by a design institute.

[0042] Among them, the large-scale steel structure BIM model includes multiple steel component BIM models, each of which includes multiple component plate BIM models, and the component plate BIM model contains the three-dimensional size information of the component plate and the position information of the corresponding component plate in the large-scale steel structure BIM model;

[0043] S120, inputting the three-dimensional size information of the component plates of each of the component plate BIM models into the automatic cutting equipment respectively, so as to obtain the component plates corresponding to each of the component plate BIM models respectively by the automatic cutting equipment.

[0044] In this embodiment, the three-dimensional size information of each component plate is input into the automatic cutting device respectively, and the automatic cutting device cuts the component plate according to the corresponding three-dimensional size information of the component plate. Compared with manual cutting, the cutting efficiency and cutting accuracy can be improved.

[0045] S130, respectively obtaining a component plate point cloud model of each component plate through three-dimensional laser scanning.

[0046] In this embodiment, in order to ensure the accuracy of the component plate, after the component plate is cut, the cutting accuracy of the cut component plate must be checked. The cut component plate can be subjected to three-dimensional laser scanning using a handheld three-dimensional laser scanner or other three-dimensional scanning equipment to obtain a corresponding component plate point cloud model.

[0047] Specifically, the point cloud data of each component plate is obtained by three-dimensional laser scanning, and then the point cloud data is denoised to obtain a point cloud model of the component plate and size information of the component plate.

[0048] Among them, in some embodiments, the cutting accuracy can be checked for all component plates obtained by cutting. In other embodiments, since component plates of general shapes generally do not have accuracy problems after being cut by automatic cutting equipment, at this time, only some component plates can be checked for cutting accuracy according to the settings. For example, only the component plates marked with special-shaped labels in the large steel structure BIM model are checked for cutting accuracy, while the component plates not marked with special-shaped labels are not checked for cutting accuracy.

[0049] When only the component plates marked with special-shaped labels in the large-scale steel structure BIM model are checked for cutting accuracy, step S130 includes: determining the component plates marked with special-shaped labels in the large-scale steel structure BIM model as special-shaped component plates; and obtaining the component plate point cloud models of each of the special-shaped component plates through three-dimensional laser scanning.

[0050] At this time, for step S140, it is only necessary to perform cutting accuracy verification on each special-shaped component plate to obtain the cutting accuracy verification results of each special-shaped component plate.

[0051] S140. For each component plate, perform cutting accuracy verification on the component plate through the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain a cutting accuracy verification result corresponding to the component plate.

[0052] In this embodiment, after the component plate point cloud model of each component plate or each special-shaped component plate is obtained, the cutting accuracy of the corresponding component plate will be checked based on the corresponding component plate point cloud model and the corresponding component plate BIM model.

[0053] Specifically, the actual size data of the component plate is obtained from the point cloud model of the component plate, and the standard size data of the component plate is obtained from the BIM model of the component plate, and then the size difference data between the actual size data and the standard size data is compared, and the cutting accuracy verification result is generated based on the size difference data.

[0054] Furthermore, after obtaining the cutting accuracy verification result corresponding to the component plate, the method further includes:

[0055] If the cutting accuracy verification result is a verification failure, a re-cutting instruction is generated according to the cutting accuracy evaluation corresponding to the cutting accuracy verification result, wherein the re-cutting instruction instructs to re-cut the associated component plate, or to adjust the cutting parameters of the automatic cutting device and re-cut the associated component plate;

[0056] Specifically, the re-cutting in the above re-cutting instruction includes re-cutting or processing cutting based on the original component plate.

[0057] In response to the re-cutting instruction, the associated component plate is re-cut based on the corresponding component plate BIM model until the cutting accuracy verification result corresponding to the cut component plate is verified to pass.

[0058] Specifically, the cutting accuracy evaluation generates a re-cutting instruction based on a trained cutting accuracy evaluation processing model. The cutting accuracy verification result carrying the size difference data and the corresponding standard size data are input into the cutting accuracy evaluation processing model. The size difference data and the standard size data in the cutting accuracy verification result are analyzed by the cutting accuracy evaluation processing model, and the corresponding re-cutting instruction is output.

[0059] Among them, if the re-cutting instruction indicates that the associated component plate is to be re-cut, the corresponding component plate is re-cut by the automatic cutting equipment. If the re-cutting instruction indicates that the cutting parameters of the automatic cutting equipment are adjusted and the associated component plate is to be re-cut, at this time, the parameters of the automatic cutting equipment can be automatically adjusted based on the cutting parameters of the automatic cutting equipment, or the cutting parameters can be sent to the user as a reference, so that the user can adjust the parameters of the automatic cutting equipment with reference to the cutting parameters. After the parameters of the automatic cutting equipment are adjusted, the associated component plate is further re-cut.

[0060] S150. For each of the steel component BIM models, when the cutting accuracy verification results of the associated component plates are all verified to have passed, the steel component BIM model is input into a first laser-assisted measurement and layout device, so that the first laser-assisted measurement and layout device is used to assist in the layout of the associated multiple component plates, and the steel component corresponding to the steel component BIM model is obtained by assembling and welding the component plates based on the layout assistance.

[0061] In this embodiment, in order to improve the processing speed of steel components, steel component processing is performed based on the steel component BIM model. Specifically, one steel component BIM model is associated with multiple component plates. When the cutting accuracy verification results of the associated component plates are all verified to pass, the cutting accuracy of each component plate can be guaranteed to be high, thereby avoiding the situation where large errors in steel components are caused by the cumulative errors of the component plates.

[0062] In order to ensure the processing and assembly accuracy of steel components, this embodiment inputs the BIM model of the steel component into the first laser-assisted measurement and layout device, and assists in the layout of the component plates of the corresponding steel components. Specifically, the first laser-assisted measurement and layout device marks the accurate welding positions in the form of laser points and / or laser lines at the pre-installed positions of each component plate in the steel component, thereby facilitating the processing operation of the component plates.

[0063] The first laser-assisted measurement and layout device is composed of at least one laser-assisted measurement and layout equipment, and the laser-assisted measurement and layout equipment has the functions of being easy to place and automatically locating the spatial position.

[0064] S160, obtaining the steel component point cloud model of each of the steel components through three-dimensional laser scanning.

[0065] In this embodiment, in order to ensure the accuracy of the steel components, after the steel components are cut, it is also necessary to check the splicing accuracy of the welded steel components. First, the welded steel components are scanned in three dimensions by a handheld three-dimensional laser scanner or other three-dimensional scanning equipment to obtain a corresponding point cloud model of the steel components.

[0066] Specifically, the point cloud data of each steel component is obtained by three-dimensional laser scanning, and then the point cloud data is denoised to obtain a point cloud model of the steel component and the size information of the steel component.

[0067] S170. For each of the steel components, perform a splicing accuracy check on the steel component using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain a splicing accuracy check result corresponding to the steel component.

[0068] See also Figure 2 In some embodiments, step S170 includes:

[0069] S171, acquiring the current angular position and current angle of a specified angle in the steel component from the point cloud model of the steel component;

[0070] S172, acquiring the standard angle position and standard angle of the designated angle from the steel member BIM model;

[0071] S173, determining a position deviation value according to the current angular position and the standard angular position, and determining an angle deviation value according to the current angle and the standard angle;

[0072] S174, if the position deviation value is less than a preset position deviation threshold, and the angle deviation value is less than a preset angle deviation threshold, taking the verification pass as the stitching accuracy inspection result;

[0073] S175. If the position deviation value is greater than or equal to a preset position deviation threshold, or the angle deviation value is greater than or equal to a preset angle deviation threshold, then failure of the verification is taken as the result of the stitching accuracy inspection.

[0074] The above-mentioned designated angles include multiple ones, and the current angle position and the current angle can be the distance and angle between the designated angle and the designated reference point in the point cloud model of the steel component.

[0075] Furthermore, after obtaining the splicing accuracy test result corresponding to the steel component, the method further includes:

[0076] If the splicing accuracy test result is a check failure, a component adjustment instruction is generated according to the splicing position deviation data corresponding to the splicing accuracy test result, wherein the splicing position deviation data includes a position deviation value and an angle deviation value;

[0077] In response to the component adjustment instruction, the associated steel component is subjected to component adjustment processing until the splicing accuracy inspection result corresponding to the adjusted steel component passes the inspection.

[0078] The component adjustment processing of the associated steel component can be specifically performed by manually adjusting the original steel component, or re-cutting and assembling the component plate of the steel component, that is, re-executing S120 to S170 on the steel component until the splicing accuracy test result corresponding to the adjusted steel component passes the verification.

[0079] S180. When all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into a second laser-assisted measurement and layout device, so as to assist in the layout of the multiple steel components through the second laser-assisted measurement and layout device, and obtain the large-scale steel structure corresponding to the large-scale steel structure BIM model based on the steel component layout-assisted assembly and welding.

[0080] Specifically, after all steel components have been verified, the large-scale steel structure BIM model is input into the second laser-assisted measurement and layout device to assist in the layout of multiple steel components. Specifically, the accurate welding positions are marked in the form of laser points and / or laser lines at the pre-installed positions in the large steel structure by the second laser-assisted measurement and layout device, so as to facilitate the processing operations of the steel components.

[0081] The first laser-assisted measurement and layout device is composed of a plurality of laser-assisted measurement and layout equipment, and the laser-assisted measurement and layout equipment has the function of being easy to place and automatically locating the spatial position.

[0082] To summarize, on the one hand, the embodiment of the present application guides the automatic cutting equipment to perform component cutting through the three-dimensional size information of the component plate, and before using the component plate to process the steel component, the cutting accuracy of the component plate will be verified. Only the component plate that has passed the verification can participate in the steel component processing, thereby reducing the processing error of the steel structure, reducing the rework rate of the steel structure, and thus improving the construction efficiency; on the other hand, the embodiment of the present application uses a laser-assisted measurement and layout device to assist in the layout of the component plate and the layout of the steel component, which can ensure the processing and assembly accuracy of the steel component, as well as the installation accuracy of the component, thereby improving the construction accuracy of large steel structures.

[0083] Figure 3 FIG. 1 is a flow chart of a method for intelligently constructing a large steel structure according to another embodiment of the present application. Figure 3 As shown, the intelligent construction method of large steel structure in this embodiment includes steps S210-S2100. Steps S210-S280 are similar to steps S110-S180 in the above embodiment, and will not be repeated here. The following is a detailed description of the added steps S290-S2100 in this embodiment.

[0084] S290. When the large-scale steel structure is completely installed, initial steel structure point cloud data of the large-scale steel structure is obtained through three-dimensional laser scanning.

[0085] In this embodiment, in order to later detect the deformation of the steel structure during later use, after the large-scale steel structure is completely installed, it is necessary to obtain the initial steel structure point cloud data of the large-scale steel structure through three-dimensional laser scanning. Specifically, the initial steel structure point cloud data can be obtained by scanning with a three-dimensional laser scanner mounted on an unmanned aerial vehicle.

[0086] S2100. During the use of the large steel structure, based on the initial steel structure point cloud data, deformation detection is performed on the large steel structure according to a preset detection cycle to obtain a deformation detection result.

[0087] In this embodiment, in order to ensure the safety of the large steel structure, during the use of the large steel structure, it is necessary to perform deformation detection on the large steel structure according to a preset detection period (for example, the 15th of each month), obtain deformation detection results, obtain overall and local deformation parameters of the structure, and carry out refined safety monitoring for deformation of large-span structures and complex structures.

[0088] Specifically, in some embodiments, see Figure 4 , step S2100 includes:

[0089] S2101, obtaining current steel structure point cloud data of the large steel structure by three-dimensional laser scanning in the current detection cycle;

[0090] S2102. Determine a deformation detection result during use according to the current steel structure point cloud data and the initial steel structure point cloud data.

[0091] Specifically, the size deviation value and the angle deviation value of each steel component in the current steel structure point cloud data and the initial steel structure point cloud data are obtained by comparison, and the deformation detection result during use is determined according to the size deviation value and the angle deviation value.

[0092] Among them, the deformation detection result during use includes the overall deformation detection result during use and the local deformation detection result during use. The overall deformation detection result during use indicates the overall deformation degree of the large steel structure, and is generated according to the size deviation value and the angle deviation value of the overall steel component; the large steel structure includes multiple steel structure detection areas, and there are multiple local deformation detection results during use, which respectively correspond to the deformation detection results of different steel structure detection areas in the large steel structure, and different local deformation detection results during use are respectively generated according to the size deviation value and the angle deviation value of the steel component in different steel structure detection areas.

[0093] S2103. Determine the current period structure change rate detection result corresponding to the current detection period based on the current steel structure point cloud data and the previous steel structure point cloud data, wherein the previous steel structure point cloud data is the steel structure point cloud data of the large steel structure acquired in the previous detection period of the current detection period.

[0094] Specifically, the size deviation value and the angle deviation value of each steel component in the current steel structure point cloud data and the previous steel structure point cloud data are obtained by comparison, and the current periodic structure change rate is determined according to the size deviation value and the angle deviation value.

[0095] Among them, the current period structure change rate detection result includes the current period overall structure change rate detection result and the current period local structure change rate detection result. The current period overall structure change rate detection result indicates the overall deformation degree of the large steel structure in the current period, and is generated according to the size deviation value and angle deviation value of the overall steel member in the current period; the large steel structure includes multiple steel structure detection areas, and there are multiple current period local structure change rate detection results, which respectively correspond to the local structure change rate detection results of different steel structure detection areas in the large steel structure, and different local structure change rate detection results are respectively generated according to the size deviation value and angle deviation value of the steel member in different steel structure detection areas.

[0096] S2104. Determine the maximum deformation detection result corresponding to the current detection cycle based on the current steel structure point cloud data and the component plate BIM model.

[0097] Specifically, the size deviation value and the angle deviation value of each steel component in the component plate BIM model are obtained by comparison, and the maximum deformation detection result is determined according to the size deviation value and the angle deviation value. The maximum deformation detection result indicates the degree of deformation between the current steel structure and the initially designed steel structure (large steel structure BIM model).

[0098] Among them, the maximum deformation detection result includes the overall maximum deformation detection result and the local maximum deformation detection result. The overall maximum deformation detection result indicates the current overall maximum deformation degree of the large steel structure, and is generated according to the size deviation value and the angle deviation value of the overall steel member. The large steel structure includes multiple steel structure detection areas, and there are multiple local maximum deformation detection results, which respectively correspond to the local maximum deformation detection results of different steel structure detection areas in the large steel structure, and different local maximum deformation detection results are respectively generated according to the size deviation value and the angle deviation value of the steel member in different steel structure detection areas.

[0099] Furthermore, after obtaining the deformation detection result, the method further includes:

[0100] If the maximum deformation value corresponding to the usage process deformation detection result is greater than the preset usage process deformation threshold, or the maximum change rate corresponding to the current periodic structure change rate detection result is greater than the preset periodic structure change rate threshold, or the maximum deformation value corresponding to the maximum deformation detection result is greater than the preset maximum deformation threshold, a structural abnormality warning is generated.

[0101] Specifically, the deformation threshold during use includes an overall deformation threshold during use and a local deformation threshold during use. The overall deformation threshold during use and the local deformation threshold during use respectively perform deformation anomaly checks on the overall and local parts of the steel structure.

[0102] After receiving the structural anomaly warning, the staff will further conduct an anomaly analysis on the large steel structure to ensure its safety.

[0103] To sum up, this embodiment can not only realize the refined and intelligent construction of large steel structures, and carry out refined intelligent construction of large steel structures, but also conduct regular deformation detection of the large steel structures during their use, carry out refined safety monitoring of deformation of large-span structures and complex structures, and ensure the safety of large steel structures.

[0104] Figure 5 is a schematic block diagram of an intelligent construction device 500 for a large steel structure provided in an embodiment of the present application. Figure 5As shown, corresponding to the above intelligent construction method for large steel structures, the present application also provides an intelligent construction device 500 for large steel structures. The intelligent construction device 500 for large steel structures includes a unit for executing the above intelligent construction method for large steel structures, and the intelligent construction device 500 for large steel structures can be configured in a terminal or a server. Figure 5 The intelligent construction device 500 of the large steel structure includes a first acquisition unit 501, a first input unit 502, a second acquisition unit 503, a first verification unit 504, a second input unit 505, a third acquisition unit 506, a second verification unit 507 and a third input unit 508.

[0105] A first acquisition unit 501 is used to acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models;

[0106] The first input unit 502 is used to input the three-dimensional size information of the component plate of each component plate BIM model into the automatic cutting device, so as to obtain the component plates corresponding to each component plate BIM model respectively through the automatic cutting device;

[0107] The second acquisition unit 503 is used to respectively acquire the component plate point cloud model of each component plate through three-dimensional laser scanning;

[0108] The first verification unit 504 is used to verify the cutting accuracy of each component plate by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate;

[0109] The second input unit 505 is used for inputting the steel component BIM model into the first laser-assisted measurement and layout device for assisting the associated plurality of component plates in component plate layout, and obtaining the steel component corresponding to the steel component BIM model by assembling and welding the component plates based on the component plate layout assistance.

[0110] A third acquisition unit 506 is used to respectively acquire a steel component point cloud model of each of the steel components through three-dimensional laser scanning;

[0111] The second verification unit 507 is used to verify the splicing accuracy of each steel component through the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component, so as to obtain the splicing accuracy verification result corresponding to the steel component;

[0112] The third input unit 508 is used to input the large-scale steel structure BIM model into the second laser-assisted measurement and layout device when all the splicing accuracy inspection results are passed, so as to assist in the layout of the multiple steel components through the second laser-assisted measurement and layout device, and obtain the large-scale steel structure corresponding to the large-scale steel structure BIM model based on the steel component layout-assisted assembly and welding.

[0113] In some embodiments, the second verification unit is specifically used to:

[0114] Acquire the current angular position and current angle of a specified angle in the steel component from the point cloud model of the steel component;

[0115] Acquire the standard angle position and standard angle of the designated angle from the steel member BIM model;

[0116] Determine a position deviation value according to the current angular position and the standard angular position, and determine an angle deviation value according to the current angle and the standard angle;

[0117] If the position deviation value is less than a preset position deviation threshold, and the angle deviation value is less than a preset angle deviation threshold, the verification is passed as the stitching accuracy test result;

[0118] If the position deviation value is greater than or equal to a preset position deviation threshold, or the angle deviation value is greater than or equal to a preset angle deviation threshold, then failure of the check is taken as the result of the stitching accuracy check.

[0119] In some embodiments, the large-scale steel structure intelligent construction device 500 further includes:

[0120] A first instruction generating unit is used for generating a re-cutting instruction according to the cutting accuracy evaluation corresponding to the cutting accuracy verification result if the cutting accuracy verification result is verification failure, wherein the re-cutting instruction instructs to re-cut the associated component plate, or adjust the cutting parameters of the automatic cutting device and re-cut the associated component plate;

[0121] The re-cutting unit is used to respond to the re-cutting instruction and re-cut the associated component plate based on the corresponding component plate BIM model until the cutting accuracy verification result corresponding to the cut component plate is verified to pass.

[0122] In some embodiments, the large-scale steel structure intelligent construction device 500 further includes:

[0123] A second instruction generating unit is configured to generate a component adjustment instruction according to the splicing position deviation data corresponding to the splicing accuracy inspection result if the splicing accuracy inspection result is a verification failure, wherein the splicing position deviation data includes a position deviation value and an angle deviation value;

[0124] The component adjustment unit is used to respond to the component adjustment instruction and perform component adjustment processing on the associated steel component until the splicing accuracy inspection result corresponding to the adjusted steel component is verified to pass.

[0125] In some embodiments, the large-scale steel structure intelligent construction device 500 further includes:

[0126] A fourth acquisition unit is used to acquire initial steel structure point cloud data of the large steel structure through three-dimensional laser scanning when the large steel structure is completely installed;

[0127] The deformation detection unit is used to perform deformation detection on the large steel structure according to a preset detection cycle based on the initial steel structure point cloud data during the use of the large steel structure to obtain a deformation detection result.

[0128] In some embodiments, the deformation detection unit is specifically used to:

[0129] Acquire current steel structure point cloud data of the large steel structure by three-dimensional laser scanning in the current detection cycle;

[0130] Determine the deformation detection result during use according to the current steel structure point cloud data and the initial steel structure point cloud data;

[0131] Determine the current period structure change rate detection result corresponding to the current detection period according to the current steel structure point cloud data and the previous steel structure point cloud data, wherein the previous steel structure point cloud data is the steel structure point cloud data of the large steel structure acquired in the previous detection period of the current detection period;

[0132] According to the current steel structure point cloud data and the component plate BIM model, the maximum deformation detection result corresponding to the current detection cycle is determined.

[0133] In some embodiments, the large-scale steel structure intelligent construction device 500 further includes:

[0134] A warning generation unit is used to generate a structural abnormality warning if the maximum deformation value corresponding to the use process deformation detection result is greater than a preset use process deformation threshold, or the maximum change rate corresponding to the current periodic structure change rate detection result is greater than a preset periodic structure change rate threshold, or the maximum deformation value corresponding to the maximum deformation detection result is greater than a preset maximum deformation threshold.

[0135] To sum up, on the one hand, the intelligent construction device 500 for large steel structures provided in the embodiment of the present application guides the automatic cutting equipment to perform component cutting through the three-dimensional size information of the component plate, and before using the component plate to process the steel component, the cutting accuracy of the component plate will be verified. Only the component plate that has passed the verification can participate in the steel component processing, thereby reducing the processing error of the steel structure, reducing the rework rate of the steel structure, and thus improving the construction efficiency; on the other hand, the intelligent construction device 500 for large steel structures provided in the embodiment of the present application uses a laser-assisted measurement and layout device to assist in the layout of the component plate and the layout of the steel component, which can ensure the processing and assembly accuracy of the steel component and the installation accuracy of the component, thereby improving the construction accuracy of the large steel structure.

[0136] It should be noted that technicians in the relevant field can clearly understand that the specific implementation process of the above-mentioned intelligent construction device for large steel structures and each unit can refer to the corresponding description in the aforementioned method embodiment, and for the convenience and conciseness of the description, it will not be repeated here.

[0137] The above-mentioned intelligent construction device for large steel structures can be realized in the form of a computer program. The computer program can be used in Figure 6 Runs on the computer device shown.

[0138] See also Figure 6 , Figure 6 600 is a schematic block diagram of a computer device provided in an embodiment of the present application. The computer device 600 may be a terminal or a server.

[0139] See also Figure 6 The computer device 600 includes a processor 602 , a memory and a network interface 605 connected via a system bus 601 , wherein the memory may include a non-volatile storage medium 603 and an internal memory 604 .

[0140] The non-volatile storage medium 603 can store an operating system 6031 and a computer program 6032. The computer program 6032 includes program instructions, and when the program instructions are executed, the processor 602 can execute an intelligent construction method for a large steel structure.

[0141] The processor 602 is used to provide computing and control capabilities to support the operation of the entire computer device 600 .

[0142] The internal memory 604 provides an environment for the operation of the computer program 6032 in the non-volatile storage medium 603. When the computer program 6032 is executed by the processor 602, the processor 602 can execute an intelligent construction method for a large steel structure.

[0143] The network interface 605 is used to communicate with other devices over the network. Figure 6 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device 600 to which the solution of the present application is applied. The specific computer device 600 may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0144] The processor 602 is used to run a computer program 6032 stored in the memory to implement the following steps:

[0145] Acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models;

[0146] Inputting the three-dimensional size information of the component plates of each component plate BIM model into the automatic cutting device respectively, so as to obtain component plates corresponding to each component plate BIM model respectively through the automatic cutting device;

[0147] By three-dimensional laser scanning, a point cloud model of each component plate is obtained;

[0148] For each of the component plates, the cutting accuracy of the component plate is verified by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate;

[0149] For each of the steel component BIM models, when the cutting accuracy verification results of each of the associated component plates are all verified to be passed, the steel component BIM model is input into a first laser-assisted measurement and layout device, so that the first laser-assisted measurement and layout device is used to assist in the layout of the associated multiple component plates, and the steel component corresponding to the steel component BIM model is obtained by assembling and welding the component plates based on the auxiliary layout;

[0150] Obtaining steel component point cloud models of each of the steel components through three-dimensional laser scanning;

[0151] For each of the steel components, the splicing accuracy of the steel component is checked by using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy test result corresponding to the steel component;

[0152] When all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into the second laser-assisted measurement and layout device, so that the second laser-assisted measurement and layout device is used to assist in the layout of the multiple steel components, and the large-scale steel structure BIM model corresponding to the large-scale steel structure is obtained based on the steel component layout-assisted assembly and welding.

[0153] It should be understood that in the embodiment of the present application, the processor 602 may be a central processing unit (CPU), and the processor 602 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0154] It can be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiment can be completed by instructing the relevant hardware through a computer program. The computer program includes program instructions, and the computer program can be stored in a storage medium, which is a computer-readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the process steps of the embodiment of the above method.

[0155] Therefore, the present application also provides a storage medium. The storage medium may be a computer-readable storage medium. The storage medium stores a computer program, wherein the computer program includes program instructions. When the program instructions are executed by a processor, the processor executes the following steps:

[0156] Acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models;

[0157] Inputting the three-dimensional size information of the component plates of each component plate BIM model into the automatic cutting device respectively, so as to obtain component plates corresponding to each component plate BIM model respectively through the automatic cutting device;

[0158] By three-dimensional laser scanning, a point cloud model of each component plate is obtained;

[0159] For each of the component plates, the cutting accuracy of the component plate is verified by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate;

[0160] For each of the steel component BIM models, when the cutting accuracy verification results of each of the associated component plates are all verified to be passed, the steel component BIM model is input into a first laser-assisted measurement and layout device, so that the first laser-assisted measurement and layout device is used to assist in the layout of the associated multiple component plates, and the steel component corresponding to the steel component BIM model is obtained by assembling and welding the component plates based on the auxiliary layout;

[0161] Obtaining steel component point cloud models of each of the steel components through three-dimensional laser scanning;

[0162] For each of the steel components, the splicing accuracy of the steel component is checked by using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy test result corresponding to the steel component;

[0163] When all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into the second laser-assisted measurement and layout device, so that the second laser-assisted measurement and layout device is used to assist in the layout of the multiple steel components, and the large-scale steel structure BIM model corresponding to the large-scale steel structure is obtained based on the steel component layout-assisted assembly and welding.

[0164] The storage medium may be a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk, or an optical disk, etc., which are computer-readable storage media that can store program codes.

[0165] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0166] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of each unit is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed.

[0167] The steps in the method of the embodiment of the present application can be adjusted in order, combined and deleted according to actual needs. The units in the device of the embodiment of the present application can be combined, divided and deleted according to actual needs. In addition, the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0168] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, terminal, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application.

[0169] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. An intelligent construction method for a large steel structure, characterized in that: include: Acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models; Inputting the three-dimensional size information of the component plates of each component plate BIM model into the automatic cutting device respectively, so as to obtain component plates corresponding to each component plate BIM model respectively through the automatic cutting device; By three-dimensional laser scanning, a point cloud model of each component plate is obtained; For each of the component plates, the cutting accuracy of the component plate is verified by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate; For each of the steel component BIM models, when the cutting accuracy verification results of each of the associated component plates are all verified to be passed, the steel component BIM model is input into a first laser-assisted measurement and layout device, so that the first laser-assisted measurement and layout device is used to assist in the layout of the associated multiple component plates, and the steel component corresponding to the steel component BIM model is obtained by assembling and welding the component plates based on the auxiliary layout; Obtaining steel component point cloud models of each of the steel components through three-dimensional laser scanning; For each of the steel components, the splicing accuracy of the steel component is checked by using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy test result corresponding to the steel component; When all the splicing accuracy inspection results are passed, the large-scale steel structure BIM model is input into a second laser-assisted measurement and layout device, so that the second laser-assisted measurement and layout device is used to assist in the layout of the steel components, and based on the steel component layout assistance assembly and welding, the large-scale steel structure BIM model corresponding to the large-scale steel structure is obtained; The splicing accuracy check of the steel component is performed by using the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy check result corresponding to the steel component, including: Acquire the current angular position and current angle of a specified angle in the steel component from the point cloud model of the steel component; Acquire the standard angle position and standard angle of the designated angle from the steel member BIM model; Determine a position deviation value according to the current angular position and the standard angular position, and determine an angle deviation value according to the current angle and the standard angle; If the position deviation value is less than a preset position deviation threshold, and the angle deviation value is less than a preset angle deviation threshold, the verification is passed as the stitching accuracy test result; If the position deviation value is greater than or equal to a preset position deviation threshold, or the angle deviation value is greater than or equal to a preset angle deviation threshold, then failure of the check is taken as the result of the stitching accuracy check; After the cutting accuracy of the component plate is verified by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain the cutting accuracy verification result corresponding to the component plate, the method further includes: If the cutting accuracy verification result is a verification failure, a re-cutting instruction is generated according to the cutting accuracy evaluation corresponding to the cutting accuracy verification result, wherein the re-cutting instruction instructs to re-cut the associated component plate, or to adjust the cutting parameters of the automatic cutting device and re-cut the associated component plate; In response to the re-cutting instruction, the associated component plate is re-cut based on the corresponding component plate BIM model until the cutting accuracy verification result corresponding to the cut component plate is verified to pass; After performing splicing accuracy verification on the steel component through the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component to obtain the splicing accuracy verification result corresponding to the steel component, the method further includes: If the splicing accuracy test result is a check failure, a component adjustment instruction is generated according to the splicing position deviation data corresponding to the splicing accuracy test result, wherein the splicing position deviation data includes a position deviation value and an angle deviation value; In response to the component adjustment instruction, the associated steel component is subjected to component adjustment processing until the splicing accuracy inspection result corresponding to the adjusted steel component passes the inspection.

2. The method according to claim 1, characterized in that: After obtaining the large steel structure BIM model corresponding to the large steel structure based on the steel member lofting auxiliary assembly welding, the method further includes: When the large-scale steel structure is completely installed, initial steel structure point cloud data of the large-scale steel structure is obtained by three-dimensional laser scanning; During the use of the large steel structure, deformation detection is performed on the large steel structure according to a preset detection cycle based on the initial steel structure point cloud data to obtain a deformation detection result.

3. The method according to claim 2, characterized in that The method of performing deformation detection on the large steel structure based on the initial steel structure point cloud data according to a preset detection cycle to obtain a deformation detection result includes: Acquire current steel structure point cloud data of the large steel structure by three-dimensional laser scanning in the current detection cycle; Determine the deformation detection result during use according to the current steel structure point cloud data and the initial steel structure point cloud data; Determine the current period structure change rate detection result corresponding to the current detection period according to the current steel structure point cloud data and the previous steel structure point cloud data, wherein the previous steel structure point cloud data is the steel structure point cloud data of the large steel structure acquired in the previous detection period of the current detection period; According to the current steel structure point cloud data and the component plate BIM model, the maximum deformation detection result corresponding to the current detection cycle is determined.

4. The method according to claim 3, characterized in that After performing deformation detection on the large steel structure based on the initial steel structure point cloud data and according to a preset detection cycle and obtaining the deformation detection result, the method further includes: If the maximum deformation value corresponding to the usage process deformation detection result is greater than the preset usage process deformation threshold, or the maximum change rate corresponding to the current periodic structure change rate detection result is greater than the preset periodic structure change rate threshold, or the maximum deformation value corresponding to the maximum deformation detection result is greater than the preset maximum deformation threshold, a structural abnormality warning is generated.

5. An intelligent construction device for large steel structures, characterized in that: include: A first acquisition unit is used to acquire a large-scale steel structure BIM model, wherein the large-scale steel structure BIM model includes a plurality of steel component BIM models, and each of the steel component BIM models includes a plurality of component plate BIM models; The first input unit is used to input the three-dimensional size information of the component plate of each component plate BIM model into the automatic cutting device, so as to obtain the component plates corresponding to each component plate BIM model respectively through the automatic cutting device; A second acquisition unit is used to respectively acquire a component plate point cloud model of each component plate through three-dimensional laser scanning; The first verification unit is used to verify the cutting accuracy of each component plate by using the corresponding point cloud model of the component plate and the corresponding BIM model of the component plate to obtain a cutting accuracy verification result corresponding to the component plate; The second input unit is used for inputting the steel component BIM model into the first laser-assisted measurement and layout device for assisting the associated plurality of component plates in component plate layout, and obtaining the steel component corresponding to the steel component BIM model by assembling and welding the component plates based on the component plate layout assistance, when the cutting accuracy verification results of the associated component plates are all verified to have passed the verification; A third acquisition unit is used to respectively acquire a steel component point cloud model of each of the steel components through three-dimensional laser scanning; A second verification unit is used to verify the splicing accuracy of each steel component through the corresponding point cloud model of the steel component and the corresponding BIM model of the steel component, so as to obtain a splicing accuracy inspection result corresponding to the steel component; A third input unit is used for inputting the large-scale steel structure BIM model into a second laser-assisted measurement and layout device when all the splicing accuracy inspection results are passed, so as to assist in the steel component layout of the plurality of steel components through the second laser-assisted measurement and layout device, and to obtain the large-scale steel structure corresponding to the large-scale steel structure BIM model based on the steel component layout-assisted assembly and welding; The second verification unit is specifically used for: Acquire the current angular position and current angle of a specified angle in the steel component from the point cloud model of the steel component; Acquire the standard angle position and standard angle of the designated angle from the steel member BIM model; Determine a position deviation value according to the current angular position and the standard angular position, and determine an angle deviation value according to the current angle and the standard angle; If the position deviation value is less than a preset position deviation threshold, and the angle deviation value is less than a preset angle deviation threshold, the verification is passed as the stitching accuracy test result; If the position deviation value is greater than or equal to a preset position deviation threshold, or the angle deviation value is greater than or equal to a preset angle deviation threshold, then failure of the check is taken as the result of the stitching accuracy check; The intelligent construction device for large steel structures also includes: A first instruction generating unit is used for generating a re-cutting instruction according to the cutting accuracy evaluation corresponding to the cutting accuracy verification result if the cutting accuracy verification result is verification failure, wherein the re-cutting instruction instructs to re-cut the associated component plate, or adjust the cutting parameters of the automatic cutting device and re-cut the associated component plate; A re-cutting unit, configured to re-cut the associated component plate based on the corresponding component plate BIM model in response to the re-cutting instruction, until the cutting accuracy verification result corresponding to the cut component plate is verified to pass; The intelligent construction device for large steel structures also includes: A second instruction generating unit is configured to generate a component adjustment instruction according to the splicing position deviation data corresponding to the splicing accuracy inspection result if the splicing accuracy inspection result is a verification failure, wherein the splicing position deviation data includes a position deviation value and an angle deviation value; The component adjustment unit is used to respond to the component adjustment instruction and perform component adjustment processing on the associated steel component until the splicing accuracy inspection result corresponding to the adjusted steel component is verified to pass.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the intelligent construction method for a large steel structure according to any one of claims 1 to 4 is implemented.

7. A storage medium, characterized in that: The storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes the intelligent construction method for large steel structures as described in any one of claims 1 to 4.

Images