CN115618472B - Engineering structure digital pre-assembly method, system and application based on BIM model - Google Patents
Engineering structure digital pre-assembly method, system and application based on BIM model Download PDFInfo
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Abstract
The invention belongs to the technical field of component prefabrication data identification, and discloses a method, a system and application for digitally pre-assembling an engineering structure based on a BIM model. Scanning the machined section beams to be assembled and converting the section beams into a model to obtain accurate component errors; the point cloud model is combined with the BIM model to perform segment beam simulation pre-assembly; and detecting the bridge alignment and splicing precision by utilizing a three-dimensional laser scanning technology. The invention realizes three-dimensional high-precision recording and data analysis of the construction process of the segmental beam and plays an important role in improving the assembly precision. The segment beams to be assembled after processing are scanned and converted into a model, so that accurate component errors are obtained, simulation pre-assembly is performed, and the prefabricated installation is assisted, so that the application of the three-dimensional laser scanning combined with the BIM technology in improving the assembly precision of the prefabricated segment beams is realized.
Description
Technical Field
The invention belongs to the technical field of component prefabrication data identification, and particularly relates to a method, a system and application for digitally pre-assembling an engineering structure based on a BIM model.
Background
The prefabricated segment assembling process is a construction process for dividing the whole bridge body into a plurality of segments, carrying out prefabrication processing in a factory, and then transporting to a construction site, and integrally assembling the segment beams into the bridge by applying prestress. Compared with the traditional cast-in-situ structure, the prefabricated section beam is prefabricated by a factory, so that the on-site assembly precision requirement is very high. If the production or construction cannot meet the precision requirement, the appearance of the segment beam cannot meet the aesthetic requirement, and even the quality and safety of the segment beam are affected. The mass of the prefabricated section beam is a weight of the control before construction. The three-dimensional laser scanning technology has the characteristics of high precision and high sampling speed, can reconstruct a scanned object rapidly and highly accurately to obtain original mapping data, can realize rapid reverse three-dimensional data acquisition and model reconstruction directly from a structure, and represents a three-dimensional model after actual construction. BIM technology itself has three-dimensional visual high, information integration ability strong characteristics, BIM model carries out three-dimensional modeling through the design drawing, and the embodiment is the design three-dimensional model. Under the technical background, the project utilizes the three-dimensional laser scanning technology and the BIM technology to control the quality of the section beam and improve the assembly precision in the prefabrication and assembly construction process of the section beam.
The total length of the route of the east four-ring project in certain city is about 17.8km. The project construction mark section is k26+300-k32+880.604, and the whole length is 5740.604m. The main construction structure is as follows: ground trunks, highways, auxiliary roads, etc. There are a Jincheng overpass 1, a hong Bao tunnel 1, a main bridge 3 seat and a pedestrian overpass 2 seat along the line. A two-way 10 lane is used. The Jincheng overpass is positioned at the position of a main line pile number K27+000, and the total of the section beams is 462 truss; the new dragon road bridge is positioned at the main line pile number K30+400, and the total of the section beams is 416 truss (wherein the standard section is 240 truss and the variable section is 176 truss).
Although the factory prefabrication of bridge segments can greatly improve the machining precision of components, the prefabricated segments which are subjected to concrete material characteristics have the characteristics of high discreteness and nonuniform shrinkage creep control, particularly the prefabricated segments which are supported by engineering have the characteristics of transverse prestress and the like, and certain deviation exists between the prefabricated segments and the design size of the bridge, so that the bridge linearity is influenced from the source.
Through the above analysis, the problems and defects existing in the prior art are as follows:
(1) In the prior art, the working efficiency of the component prefabrication construction mode is low, the material cost is high, and the construction quality cannot be effectively ensured.
(2) The prior art is not combined with a fine three-dimensional laser scanning technology and a BIM technology, so that the accuracy of three-dimensional recording and data analysis of the construction process of the segmental beam is low, and accurate data support cannot be provided for quality detection of achievements in construction sites.
Disclosure of Invention
In order to overcome the problems in the related art, the disclosed embodiments of the invention provide a method, a system and an application for digitally pre-assembling engineering structures based on a BIM model.
The technical scheme is as follows: the digital pre-assembly method of the engineering structure based on the BIM model comprises the following steps:
S1, scanning the machined section beams waiting for assembly, and converting the section beams into a model to obtain accurate component errors;
s2, performing segment beam simulation pre-assembly by combining a point cloud model with a BIM model;
S3, detecting bridge alignment and splicing accuracy by utilizing a three-dimensional laser scanning technology.
In one embodiment, in step S1, scanning and converting the machined segment beams waiting to be assembled into a model includes: carrying out three-dimensional laser scanning on the incoming prefabricated segment beam through a three-dimensional laser scanner, acquiring field data, processing field data to obtain segment Liang Shanti point cloud data, converting the point cloud data into a BIM model, and obtaining an actual entity model through modeling software;
in one embodiment, in step S1, obtaining accurate component errors includes:
And carrying out coordinate system unification, one-key three-dimensional detection, real-time recording of measurement comparison deviation results, actual deviation value extraction of a plurality of slices, data comparison analysis, obtaining a comparison analysis report of design and actual entity models, checking whether the appearance geometric dimension of the segmental beam meets the deviation requirements of the design and the specification, and checking the prefabrication machining precision.
In one embodiment, in step S2, the step of performing segment beam simulation pre-assembly by combining the point cloud model with the BIM model includes:
carrying out three-dimensional laser scanning on the constructed section beam to obtain a solid point cloud model and carrying out reverse modeling;
unifying coordinates of a BIM design model of the next section beam and a solid point cloud model obtained by the constructed section beam in software, and simulating and pre-assembling; and checking whether the abutted seam can be fit.
In one embodiment, in step S2, the step of performing the segment beam simulation pre-assembly by combining the point cloud model with the BIM model further includes:
Performing deviation analysis according to the pre-assembled model, and providing corresponding control or compensation measures according to the analysis result, and setting the pre-camber and support alignment of the bracket; meanwhile, according to monitoring results of the bridge line type and the bracket system on the construction site, influence factors of the line type deviation caused by the line type deviation in actual occurrence are analyzed.
In one embodiment, in step S3, the bridge alignment and assembly accuracy detection is performed using a three-dimensional laser scanning technique,
And selecting the assembled and erected two-span section beams to perform three-dimensional laser scanning, combining with a BIM model to perform bridge linear measurement, and checking the assembly precision.
Another object of the present invention is to provide a digital pre-assembly system for engineering structures based on a BIM model, comprising:
the component error acquisition module is used for scanning the machined section beams waiting to be assembled and converting the section beams into a model to obtain accurate component errors;
the segment beam simulation pre-assembly module is used for carrying out segment beam simulation pre-assembly by combining the point cloud model with the BIM model;
and the assembly precision detection module is used for detecting the bridge alignment and assembly precision by utilizing a three-dimensional laser scanning technology.
It is a further object of the present invention to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the BIM model based engineering structure digitization pre-assembly method.
It is another object of the present invention to provide a computer readable storage medium storing a computer program, which when executed by a processor, causes the processor to perform the method for digitally pre-assembling engineering structures based on a BIM model.
Another object of the present invention is to provide an information data processing terminal for implementing the method for digitally pre-assembling engineering structures based on the BIM model by providing a user input interface when executed on an electronic device.
By combining all the technical schemes, the invention has the advantages and positive effects that:
first, aiming at the technical problems existing in the prior art and the difficulty of solving the problems, the technical problems solved by the technical scheme of the invention to be protected, results and data in the research and development process and the like are closely combined, the technical problems solved by the technical scheme of the invention are analyzed in detail and deeply, and some technical effects with creativity brought after the problems are solved are specifically described as follows: the three-dimensional laser scanning technology provided by the invention can perform three-dimensional scanning on the prefabricated section beam transported to a construction site, reconstruct a model, determine the structural geometric dimension of the prefabricated section beam and test the prefabricated quality of the section beam. Meanwhile, the on-site entity section beam can be quickly converted into an entity BIM model and rechecked with the designed BIM model, and the comparison analysis of the entity model and the design is carried out.
Secondly, the technical proposal is regarded as a whole or from the perspective of products, and the technical proposal to be protected has the technical effects and advantages as follows: the concept of component prefabrication is already applied to the field of infrastructure construction, and the mode can improve working efficiency, save material cost and guarantee construction quality for a construction stage. The construction is performed in a mode of prefabricating the components, and quality and precision control of the prefabricated components are particularly important. The invention mainly analyzes the exploration application of the three-dimensional laser scanning technology and the BIM technology in improving the prefabrication and assembly precision of the segmental beam. The three-dimensional laser scanning technology is combined with the BIM technology by taking the Zhengzhou eastern four-ring project Jincheng overpass section beam as a research carrier, so that three-dimensional high-precision recording and data analysis of the construction process of the section beam are realized, and an important role is played in improving the assembly precision. Scanning the machined section beams waiting for assembly, converting the section beams into a model, obtaining accurate component errors, and performing simulation pre-assembly to assist in pre-assembly installation. The method mainly comprises BIM modeling, three-dimensional laser scanning implementation, three-dimensional point cloud data splicing, reverse modeling, simulation pre-splicing, segment beam and construction site achievement quality detection and the like, and application of exploring and researching the combination of the three-dimensional laser scanning and the BIM technology in improving the splicing precision of the prefabricated segment beam.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flowchart of a method for digitally pre-assembling engineering structures based on BIM model provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a digital pre-assembly system of engineering structures based on BIM model provided by the embodiment of the invention;
FIG. 3 is a flow chart of monitoring construction quality by combining three-dimensional laser scanning with BIM technology, which is provided by the embodiment of the invention;
In the figure: 1. a component error acquisition module; 2. the segment beam simulates a pre-assembly module; 3. and the assembly precision detection module.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to the appended drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The invention may be embodied in many other forms than described herein and similarly modified by those skilled in the art without departing from the spirit or scope of the invention, which is therefore not limited to the specific embodiments disclosed below.
1. Explanation of the examples:
Example 1
As shown in fig. 1, the embodiment of the invention provides an engineering structure digital pre-assembly method based on a BIM model, which comprises the following steps:
s101, scanning the machined section beams waiting for assembly, and converting the section beams into a model to obtain accurate component errors;
s102, performing segment beam simulation pre-assembly by combining a point cloud model with a BIM model;
s103, detecting bridge alignment and splicing accuracy by utilizing a three-dimensional laser scanning technology.
In one embodiment, in step S1, scanning and converting the machined segment beams waiting to be assembled into a model includes: carrying out three-dimensional laser scanning on the incoming prefabricated segment beam through a three-dimensional laser scanner, acquiring field data, processing field data to obtain segment Liang Shanti point cloud data, converting the point cloud data into a BIM model, and obtaining an actual entity model through modeling software;
In a preferred embodiment, in step S101, obtaining accurate component errors includes:
And carrying out coordinate system unification, one-key three-dimensional detection, real-time recording of measurement comparison deviation results, actual deviation value extraction of a plurality of slices, data comparison analysis, obtaining a comparison analysis report of design and actual entity models, checking whether the appearance geometric dimension of the segmental beam meets the deviation requirements of the design and the specification, and checking the prefabrication machining precision.
In a preferred embodiment, in step S102, the point cloud model is combined with the BIM model to perform the segment beam simulation pre-assembly, including:
carrying out three-dimensional laser scanning on the constructed section beam to obtain a solid point cloud model and carrying out reverse modeling;
unifying coordinates of a BIM design model of the next section beam and a solid point cloud model obtained by the constructed section beam in software, and simulating and pre-assembling; and checking whether the abutted seam can be fit.
In a preferred embodiment, in step S102, the method further includes:
Performing deviation analysis according to the pre-assembled model, and providing corresponding control or compensation measures according to the analysis result, and setting the pre-camber and support alignment of the bracket; meanwhile, according to monitoring results of the bridge line type and the bracket system on the construction site, influence factors of the line type deviation caused by the line type deviation in actual occurrence are analyzed.
In a preferred embodiment, in step S103, the bridge alignment and assembly accuracy is detected using a three-dimensional laser scanning technique,
And selecting the assembled and erected two-span section beams to perform three-dimensional laser scanning, combining with a BIM model to perform bridge linear measurement, and checking the assembly precision.
As shown in fig. 2, an embodiment of the present invention provides an engineering structure digital pre-assembly system based on a BIM model, including:
The component error acquisition module 1 is used for scanning the machined section beams waiting to be assembled and converting the section beams into a model to obtain accurate component errors;
the segment beam simulation pre-assembly module 2 is used for carrying out segment beam simulation pre-assembly by combining a point cloud model with a BIM model;
and the assembly precision detection module 3 is used for detecting the bridge alignment and assembly precision by utilizing a three-dimensional laser scanning technology.
Example 2
BIM (Building Information Model) technology is a data model based on integration of various relevant information in three-dimensional digital engineering projects. The application of BIM technology in quality management mainly comprises drawing auditing, optimal design, three-dimensional visual intersection and the like.
When the three-dimensional modeling is carried out on the structure according to the company bridge BIM model standard, the model depth should meet the project BIM application requirement, and different stages correspond to different depths. The three-dimensional modeling is carried out on the golden city interchange structure, the bridge line shape is guaranteed, and the model precision has no deviation with the drawing. And related engineering information such as elevation point coordinates, engineering quantity and the like can be extracted through the model.
The three-dimensional laser scanning technology is to obtain the space three-dimensional coordinate information of the measured object by utilizing the laser beam and the laser signal reflected by the measured object, and is also called as 'real scene copying technology'. Compared with the traditional single-point distributed measurement method, the technology adopts a continuous integral data acquisition mode, avoids the introduction of human errors and time errors, and is suitable for any complex field environment and objects, and point cloud data is obtained through scanning, so that a three-dimensional model can be quickly reconstructed. The point cloud data can be imported into Sketchup, civil, D, revit and other BIM software for subsequent engineering design. At present, three-dimensional laser scanning is mainly applied to mapping engineering, industrial measurement, cultural relic protection, ancient building reconstruction, natural disaster investigation and the like.
Trimble TX5 is selected for three-dimensional laser scanning, and the scanner parameters are as follows: the measuring speed is up to 976,000 points per second, and the measuring range is 130 meters.
Trimble TX5 three-dimensional laser scanning is light, small and convenient to carry, the size is only 240x200x100 mm, the weight is only 5.2 kg, data are stored on an SD card, and the data can be conveniently and safely transmitted to a computer. The data is processed and registered with the SCENE software and can be seamlessly imported onto the tenbao RealWorks software to produce a final result, such as a test result, a measurement result, or a three-dimensional model. The data may also be transmitted to a three-dimensional CAD software package for provision to third party design software. The operation can be clearly and simply performed through the simple touch screen interface of Trimble TX 5. The steps required for setting the scanning parameters, managing the items and scanning are intuitive and easy to learn. This greatly reduces the time required for high efficiency.
In a three-dimensional laser scanning technology application, comprising:
(1) Point cloud data acquisition
Monolithic segmented beams prefabricated by the factory into the field were three-dimensionally scanned by a Trimble TX5 three-dimensional laser scanner. The subsequent data splicing and pretreatment are completed in a mode of using a labeling target for any frame station, wherein the single structure is scanned for 24 stations altogether, and the time is 6 hours.
The instrument rapidly scans the segment beam by emitting laser pulses, emits and receives the space information of the segment beam by the principle of slow reflection, carries out the internal calculation of the real point cloud of the travel object, and the point cloud information contains and retains the coordinate information, RGB and gray values of the object.
(2) Point cloud data preprocessing
And performing data splicing, data rejection, data reduction, denoising and the like on the point cloud data through professional Trimble RealWorks internal processing software.
And (3) data splicing: because the segment beam body has larger volume, the scanning can not be completed at one time. The scanning of different measuring stations is needed to be carried out for a plurality of times, and the data of each measuring station are in different coordinate systems, so that the coordinates are required to be unified, and the data are required to be spliced.
And (3) data elimination: the scanning data outside the single segment beam are invalid data, and the process of deleting the invalid data is called data rejection.
Data reduction: the point cloud data is huge data, and therefore, data simplification processing, called data reduction, is required without affecting the accuracy.
Denoising: unavoidable noise points are caused by environmental factors such as dust reflection in the air. Removing these unavoidable noise points with software is called denoising.
Furthermore, BIM reverse modeling includes:
And importing the point cloud data into Revit modeling software to perform three-dimensional reverse modeling, wherein Revit supports the importing of various point cloud data formats, exporting the rcs format from the segment Liang Dianyun data after internal processing in RealWorks, and importing the point cloud file into the Revit software. Slicing in Revit results in section Liang Deping, vertical, section, etc. plane contours and creates a solid section beam BIM model.
The engineering structure digital pre-assembly method (application of three-dimensional laser scanning combined with BIM technology in improving assembly precision of prefabricated section beams) based on the BIM model provided by the embodiment of the invention comprises the following steps:
1. And detecting the entrance quality of the prefabricated section beam, as shown in a construction quality monitoring flow chart of the combination of the three-dimensional laser scanning and the BIM technology in FIG. 2.
The three-dimensional laser scanning technology can accurately scan the space of the prefabricated section transported to the construction site, determine the structural size of the prefabricated section, check the prefabricated quality of the component, and create a bridge BIM model according to the prefabricated section, so that engineering management is facilitated. And carrying out three-dimensional laser scanning on the incoming prefabricated segment beam through a three-dimensional laser scanner, acquiring field data, processing field data to obtain segment Liang Shanti point cloud data, converting the point cloud data into a BIM model, and obtaining the BIM with a design drawing through modeling software.
The model performs coordinate system unification, one-key three-dimensional detection, real-time recording of measurement comparison deviation results, actual deviation value extraction of a plurality of slices, data comparison analysis, and comparison analysis report of the design and the actual model, and whether the appearance geometric dimension of the section beam meets the deviation requirements of the design and the specification is checked, and the prefabrication machining precision is checked, so that the assembly precision of the section beam is ensured.
By means of three-dimensional laser scanning and comparison analysis of four different segments Liang Shanti on site, the three-dimensional point cloud of an actual segment beam is compared with a designed BIM model, the deviation value of the final result is 1mm at the maximum, the concrete surface is flat, no honeycomb pitting surface exists, the quality is good, because the actual production objects are more than the BIM model, the structural bodies are not used as deviation calculation, the result meets the design and specification deviation requirements, and the quality of the prefabricated segment beam is good.
2. Point cloud model and BIM model combined segment beam simulation pre-assembly
Besides the stage prefabrication precision, factors influencing the assembly precision in the assembly process of the bridge segments are more complex. Firstly, the prefabricated section has longer age, the zero block and the wet joint are cast in situ, and the zero block and the wet joint have larger age difference with the prefabricated section, and the shrinkage and creep of the concrete are inconsistent; longitudinal prestress tensioning will cause deformation of the structure; the subsidence of foundation and lower part support deformation also can make the line of assembling influenced, all can influence the assembly precision of next section roof beam.
Before the segment beam of the No. 1 block is assembled, carrying out three-dimensional laser scanning on the zero block which is already constructed to obtain a solid point cloud model, and then carrying out
And (5) performing reverse modeling. And unifying coordinates of the BIM design model of the No.1 block and the zero block entity model in revit software, and simulating and pre-assembling. And checking whether the splice joints of the No.1 block and the No. 0 block can be fit.
And (3) carrying out deviation analysis according to the pre-assembled model, and providing corresponding control or compensation measures according to the analysis result, and setting the pre-camber of the bracket, the support alignment and the like. Meanwhile, according to monitoring results of bridge line type and support systems on a construction site, the actually-occurring line type deviation is analyzed, and influence factors causing the line type deviation are searched.
3. Bridge alignment and assembly precision detection by three-dimensional laser scanning technology
The precision control and the linear control in the process of assembling the segmental beams are the most critical and difficult links in the construction process, and also determine the success or failure of engineering construction. The assembly process is based on accurate prefabrication and simulated pre-assembly of the segments, the segments are temporarily positioned and accurately matched with each other by adopting reasonable hoisting and posture adjustment technology, the construction scheme of assembling the segments is matched with the prefabricated support, and the segments are accurately and quickly assembled by combining three-dimensional laser scanning and a BIM model.
The three-dimensional laser scanning technology can scan the prefabricated segment, can scan the whole bridge structure, determine the bridge line shape, and verify the construction assembly precision, so that the obtained BIM model can be a reference information model for later bridge management and maintenance. In addition, the three-dimensional laser scanning technology can be adopted to conduct linear measurement in the construction process.
According to the invention, the two-span segmental beams which are assembled and erected are selected to perform three-dimensional laser scanning, and the BIM model is combined to perform bridge linear measurement, and the assembly accuracy is checked.
In summary. The three-dimensional laser scanning technology is applied to the simulation pre-assembly of the prefabricated section beam, so that the problems of small information quantity, single comparison method, low measurement precision, large workload and the like of the conventional simulation pre-assembly data are solved; the advantages of the solid pre-assembly of the segmented beams in terms of time saving, labor and mechanical equipment use are more pronounced than those of the solid pre-assembly of the segmented beams.
The invention improves the prefabrication and assembly precision of the section beam of the four-ring project in the city and solves the problems of quality detection, bridge line shape measurement, assembly precision verification and the like of the field section beam entrance based on the organic combination of the three-dimensional laser scanning and BIM technology. With the increasing of the future oversized projects, the three-dimensional laser scanning technology combined with the BIM technology is increasingly applied to engineering quality management, and plays a greater role in improving project construction management level.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
The content of the information interaction and the execution process between the devices/units and the like is based on the same conception as the method embodiment of the present invention, and specific functions and technical effects brought by the content can be referred to in the method embodiment section, and will not be described herein.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
2. Application examples:
the embodiment of the invention also provides a computer device, which comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.
Embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of the respective method embodiments described above.
The embodiment of the invention also provides an information data processing terminal, which is used for providing a user input interface to implement the steps in the method embodiments when being implemented on an electronic device, and the information data processing terminal is not limited to a mobile phone, a computer and a switch.
The embodiment of the invention also provides a server, which is used for realizing the steps in the method embodiments when being executed on the electronic device and providing a user input interface.
Embodiments of the present invention provide a computer program product which, when run on an electronic device, causes the electronic device to perform the steps of the method embodiments described above.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal device, recording medium, computer memory, read-only memory (ROM), random access memory (RandomAccessMemory, RAM), electrical carrier signals, telecommunications signals, and software distribution media. Such as a U-disk, removable hard disk, magnetic or optical disk, etc.
While the invention has been described with respect to what is presently considered to be the most practical and preferred embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications, equivalents, and alternatives falling within the spirit and scope of the invention.
Claims (5)
1. The digital pre-assembly method of the engineering structure based on the BIM model is characterized by comprising the following steps of:
S1, scanning the machined section beams waiting for assembly, and converting the section beams into a model to obtain accurate component errors;
s2, combining the point cloud model with the BIM model to perform segment beam simulation pre-assembly;
s3, detecting bridge line shape and assembly precision by utilizing a three-dimensional laser scanning technology;
In step S2, performing segment beam simulation pre-assembly with the point cloud model combined with the BIM model includes:
carrying out three-dimensional laser scanning on the constructed section beam to obtain a solid point cloud model and carrying out reverse modeling;
unifying coordinates of a BIM design model of the next section beam and a solid point cloud model obtained by the constructed section beam in software, and simulating and pre-assembling; checking whether the joint can be fit;
in step S2, performing segment beam simulation pre-assembly by combining the point cloud model with the BIM model further includes:
Performing deviation analysis according to the pre-assembled model, and providing corresponding control or compensation measures according to analysis results, and setting the pre-camber and support alignment of the bracket; meanwhile, according to monitoring results of the bridge line type and the bracket system on the construction site, the influence factors of the line type deviation caused by the actual line type deviation are analyzed;
in step S3, the bridge alignment and assembly accuracy detection using the three-dimensional laser scanning technique includes:
Selecting two sections of assembled and erected cross-section beams to perform three-dimensional laser scanning, combining with a BIM model to perform bridge linear measurement, and checking assembly accuracy;
in step S1, scanning and converting the machined segment beams to be assembled into a model includes: carrying out three-dimensional laser scanning on the incoming prefabricated segment beam through a three-dimensional laser scanner, acquiring field data, processing field data to obtain segment Liang Shanti point cloud data, converting the point cloud data into a BIM model, and obtaining an actual entity model through modeling software;
in step S1, obtaining accurate component errors includes:
And carrying out coordinate system unification, one-key three-dimensional detection, real-time recording of measurement comparison deviation results, actual deviation value extraction of a plurality of slices, data comparison analysis, obtaining a comparison analysis report of design and actual entity models, checking whether the appearance geometric dimension of the segmental beam meets the deviation requirements of the design and the specification, and checking the prefabrication machining precision.
2. A system for implementing the BIM model-based engineering structure digitized pre-assembly method of claim 1, the BIM model-based engineering structure digitized pre-assembly system comprising:
The component error acquisition module (1) is used for scanning the machined section beams waiting to be assembled and converting the section beams into a model to obtain accurate component errors;
the segment beam simulation pre-assembly module (2) is used for carrying out segment beam simulation pre-assembly by combining a point cloud model with a BIM model;
And the assembly precision detection module (3) is used for detecting the bridge alignment and assembly precision by utilizing a three-dimensional laser scanning technology.
3. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the BIM model-based engineering structure digitization pre-assembly method of claim 1.
4. A computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, causes the processor to perform the BIM model based engineering structure digitization pre-assembly method of claim 1.
5. An information data processing terminal, wherein the information data processing terminal is configured to provide a user input interface to implement the BIM model-based engineering structure digitized pre-assembly method of claim 1 when implemented on an electronic device.
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Families Citing this family (3)
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| CN116911002A (en) * | 2023-07-03 | 2023-10-20 | 中建三局总承包建设有限公司 | BIM and point cloud technology-based virtual pre-assembly method for assembled machine room |
| CN118094707B (en) * | 2024-02-27 | 2024-09-20 | 重庆交通大学 | Digital pre-splicing manufacturing control method for large-span arch bridge |
| CN118114347B (en) * | 2024-03-25 | 2024-09-10 | 中交公路长大桥建设国家工程研究中心有限公司 | Method for controlling overall process construction precision based on prefabricated T beam |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992643A (en) * | 2017-10-25 | 2018-05-04 | 刘界鹏 | It is a kind of to be produced and installation accuracy control technique with the construction industry structure component calculated based on 3-D scanning cloud data and artificial intelligence identification |
| CN108090284A (en) * | 2017-12-19 | 2018-05-29 | 建基工程咨询有限公司 | Application of reverse engineering technology in construction monitoring based on laser scanning modeling |
| CN111121733A (en) * | 2019-12-30 | 2020-05-08 | 青岛国信海天中心建设有限公司 | Construction quality detection method and system based on BIM and three-dimensional laser scanning |
| CN112417564A (en) * | 2020-11-23 | 2021-02-26 | 江苏科技大学 | Segment beam prefabrication construction monitoring method based on three-dimensional laser scanning and BIM technology |
| CN113239429A (en) * | 2021-04-26 | 2021-08-10 | 河南省交通规划设计研究院股份有限公司 | Method for manufacturing precast assembled bridge of concrete segments |
| CN115130170A (en) * | 2022-05-26 | 2022-09-30 | 宁波大学 | Steel truss bridge construction monitoring method and system based on three-dimensional laser scanning and BIM |
-
2022
- 2022-10-27 CN CN202211325504.1A patent/CN115618472B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107992643A (en) * | 2017-10-25 | 2018-05-04 | 刘界鹏 | It is a kind of to be produced and installation accuracy control technique with the construction industry structure component calculated based on 3-D scanning cloud data and artificial intelligence identification |
| CN108090284A (en) * | 2017-12-19 | 2018-05-29 | 建基工程咨询有限公司 | Application of reverse engineering technology in construction monitoring based on laser scanning modeling |
| CN111121733A (en) * | 2019-12-30 | 2020-05-08 | 青岛国信海天中心建设有限公司 | Construction quality detection method and system based on BIM and three-dimensional laser scanning |
| CN112417564A (en) * | 2020-11-23 | 2021-02-26 | 江苏科技大学 | Segment beam prefabrication construction monitoring method based on three-dimensional laser scanning and BIM technology |
| CN113239429A (en) * | 2021-04-26 | 2021-08-10 | 河南省交通规划设计研究院股份有限公司 | Method for manufacturing precast assembled bridge of concrete segments |
| CN115130170A (en) * | 2022-05-26 | 2022-09-30 | 宁波大学 | Steel truss bridge construction monitoring method and system based on three-dimensional laser scanning and BIM |
Non-Patent Citations (5)
| Title |
|---|
| "Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data";Guocheng Qin 等;《Smart Manufacturing for Industrialized Construction》;20210108;第2021卷;全文 * |
| "基于 BIM 的空间钢结构拼装及模拟预拼装尺寸检测技术研究与开发";茹高明 等;《施工技术》;第47卷(第15期);第4.2-4.5节 * |
| BIM 技术在复杂异形钢结构项目中的应用;梁建军 等;《施工技术》;第1-5节 * |
| BIM 结合三维激光扫描技术在异形幕墙设计上的应用;秦国成 等;《测绘科学技术学报》;第1-5节 * |
| 基于BIM的空间钢结构拼装及模拟预拼装尺寸检测技术研究与开发;茹高明;戴立先;王剑涛;;施工技术(15);第4.2-4.5节 * |
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