CN117574595A - Intelligent construction method for selecting component hoisting equipment based on BIM technology - Google Patents
Intelligent construction method for selecting component hoisting equipment based on BIM technology Download PDFInfo
- Publication number
- CN117574595A CN117574595A CN202311073489.0A CN202311073489A CN117574595A CN 117574595 A CN117574595 A CN 117574595A CN 202311073489 A CN202311073489 A CN 202311073489A CN 117574595 A CN117574595 A CN 117574595A
- Authority
- CN
- China
- Prior art keywords
- crane
- hoisting
- model
- intelligent
- construction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010276 construction Methods 0.000 title claims abstract description 87
- 238000005516 engineering process Methods 0.000 title claims abstract description 28
- 238000000034 method Methods 0.000 claims abstract description 46
- 238000004458 analytical method Methods 0.000 claims abstract description 42
- 238000004364 calculation method Methods 0.000 claims abstract description 29
- 230000008569 process Effects 0.000 claims abstract description 26
- 238000010586 diagram Methods 0.000 claims abstract description 20
- 230000000694 effects Effects 0.000 claims abstract description 16
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 12
- 238000005457 optimization Methods 0.000 claims abstract description 5
- 239000000725 suspension Substances 0.000 claims description 18
- 229910000831 Steel Inorganic materials 0.000 claims description 4
- 238000005259 measurement Methods 0.000 claims description 4
- 239000010959 steel Substances 0.000 claims description 4
- 238000011900 installation process Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 abstract description 6
- 238000004088 simulation Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 230000002411 adverse Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 238000009430 construction management Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000010205 computational analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/18—Manufacturability analysis or optimisation for manufacturability
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computer Graphics (AREA)
- Software Systems (AREA)
- Jib Cranes (AREA)
Abstract
The invention discloses an intelligent model selection construction method of component hoisting equipment based on BIM technology, which comprises the following steps: building a hoisting intelligent analysis system based on BIM; identifying a crane construction site area and a hoisting member; setting a lifting point and selecting a member destination; setting a lifting point of a destination, and performing intelligent analysis and calculation through a constraint calculation algorithm; intelligently analyzing proper crane positions and optimal crane models, and issuing a calculation analysis process report; performing optimization of a crane model and parameter information table based on the process report; outputting a three-dimensional effect diagram and a hoisting sectional diagram; the intelligent type selection construction method of the component hoisting equipment based on the BIM technology can analyze proper crane placement positions, simulate crane construction flows and analyze hoisting construction technology feasibility, display three-dimensional visual effects and hoisting pictures, quickly and effectively select cranes of optimal types, and is suitable for hoisting construction of drainage pipelines, box girders and prefabricated pipe galleries, so that the accuracy of crane type selection and the safety of construction are improved.
Description
Technical Field
The invention belongs to the technical field of municipal engineering hoisting construction, and particularly relates to a component hoisting intelligent selection construction method based on a BIM technology.
Background
The type and construction of the hoisting equipment for various components of municipal engineering are carried out according to the two-dimensional drawing, the weight specification of the components, the construction conditions and other data information, the experience of technicians is combined, the performance table of the hoisting equipment is checked after calculation and verification, the proper automobile crane or crawler crane is determined, and the implementation scheme of the components is formed after checking. Under BIM application popularization, a plurality of projects can turn over the selected hoisting equipment, place the hoisting equipment in the established construction environment model and display three-dimensional space relation. Determining the hoisting type of the component depends on the experience of technicians, and the process simulation needs a fine model and endows various important parameters to provide actual references, so that the workload is large, the time consumption is long, the working efficiency is low, and an intelligent analysis type selection system is lacking.
The invention discloses a model selection and arrangement optimization method for steel structure hoisting equipment based on a BIM model, which is characterized in that BIM model data are read and analyzed by calling a BIM software API interface, whether each member can be hoisted and reports of all members can be checked according to the selected crane model and arrangement, and the proper crane model can be selected according to the crane position arrangement, so that the model selection efficiency and accuracy of a crane are improved. Disadvantages: the invention needs to primarily select the model of the crane, also needs to determine the arrangement of the crane, and still depends on the experience of technicians, so that intelligent model selection cannot be realized; after the starting program traverses all model components, for the condition that the model is not met, a crane model is needed to be selected again, the program is repeatedly operated, the operation amount is large, only the horizontal distance position condition of one point when the components and the crane are arranged is analyzed, and the process analysis from the ground lifting point to the lifting target position is lacking, so that the model selection is not comprehensive enough, and if the actual requirement is not met, the phenomenon that the crane leans backwards or the components are pulled and inclined easily occurs.
The disadvantages of this technique are as follows:
the model number and the placement position of the crane are determined firstly by the experience of technicians, and then the model number and placement position of the crane are checked continuously by a program, so that the workload is large, the efficiency is low, the placement position of the crane and the optimal selection type cannot be analyzed intelligently (the reason is that after the model number of the crane is selected firstly and the placement position of the crane is determined, the program is started to traverse all the models to obtain results, and the model number and the placement position of the crane are selected manually and the program check is repeated continuously for the condition which is not met); only the two-dimensional plane horizontal distance relation between the crane arrangement points and the components is analyzed, dynamic technical feasibility demonstration and safety analysis of elevation angle change of a main arm of the crane, height change of the components, collision of the components and construction sites and the like during construction are lacked, three-dimensional visual effects and lifting pictures cannot be displayed, the accuracy of model selection results is low, and the reliability is poor.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide the intelligent model selection construction method for the component hoisting equipment based on the BIM technology, which is used for intelligently analyzing the proper crane placement position, simulating the crane construction flow and analyzing the hoisting construction technology feasibility based on the BIM technology, displaying the three-dimensional visual effect and hoisting pictures, rapidly and effectively selecting the crane with the optimal model, is suitable for the hoisting construction of a drainage pipeline, a box girder and a prefabricated pipe gallery, and improves the accuracy of crane model selection and the safety of construction.
The invention solves the technical problems by adopting the technical scheme that:
the intelligent construction method for selecting the component hoisting equipment based on the BIM technology comprises the following steps:
building a BIM-based intelligent hoisting analysis system with a built-in parameterized crane model family library, a crane model information table, a performance parameter table, a regional distance and a selection constraint calculation algorithm;
identifying a crane construction site area and a hoisting member, and introducing a hoisting member model and a construction site environment model into a BIM-based hoisting intelligent analysis system;
setting a lifting point and selecting a member destination;
setting a lifting point of a destination, and performing intelligent analysis and calculation through a constraint calculation algorithm;
intelligently analyzing proper crane positions and optimal crane models, and issuing a calculation analysis process report;
performing optimization of a crane model and parameter information table based on the process report;
and outputting a three-dimensional effect drawing and a hoisting sectional drawing.
Preferably, the parameterized crane model family library is formed by parameterizing characteristic information of one or more of a crane model, a weight, a length, a width, a height, an arm length, a lateral distance of supporting legs, a longitudinal distance of the supporting legs, a working radius and an elevation angle.
Preferably, the crane model information table and the performance parameter table are formed by linking and associating a parameterized crane model with an information table and a performance parameter table of a common brand crane, and automatically generating 1 containing corresponding characteristic information after determining the crane model: 1 crane model.
Preferably, the area distance and selection constraint calculation algorithm is implemented by the following method:
setting the condition that the maximum lifting weight of the crane is larger than the weight of the suspended object, and searching a crane model range interval in a database through the weight of the suspended object;
judging whether all cranes in the crane model range can be placed in a crane area of a construction site or not;
judging whether the maximum working radius in the crane data is larger than or equal to the actual working radius calculated currently according to the result, so that the most suitable crane arrangement position is selected in the area;
according to the result, circularly judging whether the proper weight in the crane data is more than or equal to the weight of the current suspended object;
according to the analysis result, through the crane elevation point, the minimum angle of the lifting member Gao Chengdian, the lifting rope and the lifting member, the distance between the farthest lifting rope and the center of the lifting point, the horizontal distance of the lifting member at the position of the suspension arm and the angle between the suspension arm and the vehicle body are used as judgment basis as information, whether the suspension arm collides with the lifting member is judged, and meanwhile, whether the angle between the suspension arm and the vehicle body meets the standard requirement is judged until the condition result is met.
Preferably, the method for introducing the hoisting component model and the construction site environment model into the intelligent hoisting analysis system based on BIM comprises the following steps:
inputting known setting parameters: crane elevation, destination tank Liang Gaocheng, crane brand;
inputting known component information: box girder density, steel plate area and pressure coefficient;
selecting an area for placing a crane, connecting the area into a plane shape by using line segments, representing the field range which can be provided by actual construction, selecting a box girder to be lifted after system identification is completed, and completing system identification of the box girder volume;
from the identified box girder volume and the known density, the box girder weight is calculated.
Preferably, a lifting point is set, and the method for selecting the destination of the component is as follows:
after the lifting points are set in a spot selection mode, the lifting points of the box girders are set;
setting the box girder to rotate along the central axis in the length direction, and repeatedly adjusting parameters of the elevation angle, the arm length and the horizontal rotation angle of the crane according to working conditions in the girder installation process;
copying the box girder to the position of the bridge higher than the support seat, moving and rotating to adjust the destination elevation, realizing the vertical and horizontal rotation of the crane, and realizing the real-time measurement of the horizontal corner and the elevation of the simulated crane;
recording parameters of unfavorable working conditions in the dynamic hoisting process of the box girder.
Preferably, the method for issuing the report of the calculation analysis process comprises the following steps:
simulating site conditions according to the imported model, environment and hoisting important data information, and intelligently analyzing and planning a space operation range;
and (3) determining crane positions and crane parameters which meet the field and lifting requirements through program calculation, and determining the optimal crane model.
Preferably, entering a manual selection option after program calculation, if the manual selection is not entered, defaulting to a crane position calculated by a BIM-based hoisting intelligent analysis system, obtaining a hoisting box Liang Zuiyou crane model information table, and inquiring calculation result information; if the manual selection is selected, selecting one point to set the position of the crane in the crane construction field area, if the arranged position is not placed under the crane, prompting that the hoisting area range is too small, and reselecting the position of the other point again until the arranged position capable of placing down the crane is obtained.
Preferably, the parameter information table comprises crane information data, size parameters, weight parameters, working state parameter information and minimum ground bearing capacity information required by the crane and the member during lifting.
Preferably, the three-dimensional effect diagram is a three-dimensional crane model, the three-dimensional crane model comprises model information parameters and working state information parameters, and the hoisting section diagram is marked with the main arm length, the top elevation, the main arm elevation and the working radius of the crane.
Compared with the prior art, the invention has the beneficial effects that:
1. the crane arrangement position and the preliminary crane model selection are not needed to be determined by a technician, the optimal crane model is selected through intelligent system analysis, the general crane placement position is analyzed by manual experience, after the position is determined, the horizontal distance between the crane and the hoisting member during construction is analyzed by drawing, namely the working radius of the crane is determined, the crane placement positions are different, the working radius is different, the transposition is also different, and the crane model selection is influenced;
2. the method has the advantages that each working condition of crane installation can be accurately simulated based on BIM technology, the effects of hoisting construction flow, automobile crane placement position and surrounding environment are intuitively reflected through a 3D model, information such as arm length, operation radius, elevation angle and arm top elevation and the like under each working condition is analyzed, the accuracy of selection and feasibility of an installation scheme are improved, the existing BIM progress simulation is only used for carrying out video display of one process sequence, the analysis working condition is not carried out, and three-dimensional accurate simulation cannot be achieved or is not fused into an intelligent analysis program temporarily, and the method mainly depends on technician experience and two-dimensional drawing analysis;
3. and generating a crane BIM model and an equipment parameter information table, outputting an accurate and comprehensive three-dimensional effect diagram and a hoisting section diagram, and drawing a plan diagram illustration for a construction scheme without additional manpower.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a generic family schematic diagram of a parameterized crane model;
FIG. 2 is a schematic diagram of an analysis system interface;
FIG. 3 is a schematic view of the placement of crane locations and selection of hoisting members;
FIG. 4 is a schematic view of a set lifting point;
FIG. 5 is a schematic view of the set box girder lifting points;
FIG. 6 is a schematic view of a rotating box girder and a placement box girder at an elevation;
FIG. 7 is a schematic diagram of a set destination lifting point and operational calculations;
FIG. 8 is a schematic illustration of the determination of crane position after calculation;
FIG. 9 is a schematic view of a manual select crane arrangement position;
FIG. 10 is a diagram of query computation result information;
FIG. 11 is a diagram of calculated crane information;
FIG. 12 is a schematic view of a hoisting three-dimensional preview situation;
FIG. 13 is a cross-sectional view of a crane;
FIG. 14 is a second cross-sectional view of the crane;
FIG. 15 is a plan view of a crane operating mode.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
The intelligent model selection construction method for the component hoisting equipment based on the BIM technology comprises the following steps:
and step 1, building a hoisting intelligent analysis system based on BIM. The intelligent hoisting analysis system of the BIM is internally provided with a parameterized crane model family base, a common brand crane model information table, a performance parameter table and a regional distance and selection constraint calculation algorithm.
1.1, establishing a general model family of a parameterized crane, such as a general automobile crane and a crawler crane, and carrying out parameterization setting on characteristic information including a crane model, weight, length, width, height, arm length, support leg transverse spacing, support leg longitudinal spacing, working radius, elevation angle and the like.
And 1.2, importing model information tables and performance parameter tables of all brands of cranes, and carrying out linkage association on the parameterized crane models, the information tables and the performance parameter tables of the ordinary brands of cranes. After the crane model is determined, 1 containing corresponding characteristic information can be automatically generated: 1 crane model.
1.3, area distance and selection constraint calculation algorithm.
(1) Firstly, taking the condition that the maximum hoisting weight of a crane is required to be larger than the weight of a hoisted object as a precondition, and searching a crane model range interval in a database through the weight of the hoisted object;
(2) Secondly, judging whether all cranes in the crane model range can be placed in a crane area of a construction site or not;
(3) Step three, judging whether the maximum working radius in the crane data is larger than or equal to the actual working radius calculated currently according to the result of the step two, so that the most suitable crane arrangement position is selected in the area;
(4) Step four, according to the result of the step three, circularly judging whether the weight of the proper weight in the crane data is more than or equal to the weight of the current suspended object;
(5) And fifthly, according to the analysis result of the fourth step, judging whether the suspension arm collides with the lifting member or not by taking information such as the distance between the suspension rope and the center of the lifting point, the horizontal distance between the suspension arm and the lifting member, the horizontal distance between the suspension arm and the vehicle body angle (r is more than or equal to 25 and less than or equal to 75) and the like of the suspension arm through the minimum angle (45 degrees) between the lifting member Gao Chengdian and the suspension rope and the lifting member of the suspension vehicle as judgment basis, and judging whether the angle between the suspension arm and the vehicle body meets the standard requirement or not until the condition result is met.
The crane model meeting the requirements is quickly generated through the automatic linkage crane model information and the performance parameter table, so that the time and the workload of manual modeling and calculation are reduced; determining the most suitable crane model and arrangement position according to factors such as the weight of the suspended object, the working radius, the construction site conditions and the like by using a regional distance and selection constraint calculation algorithm, and improving the hoisting effect to the greatest extent on the premise of meeting the safety and technical requirements; by means of automatic data linkage and algorithm judgment, errors and misjudgment possibly caused by manually selecting the model and the hoisting position of the crane are reduced, and accuracy and reliability of a hoisting scheme are improved; through multiple judgment bases, such as collision of the suspension arm, angle requirements and the like, a designer can be helped to optimize the hoisting scheme, and potential problems and potential safety hazards are avoided.
And 2, identifying a crane construction site area and a hoisting member. Leading in a hoisting member model and a construction site environment model, starting an analysis system interface of the step 1, wherein the interface is shown in fig. 2, and inputting known setting parameters: the crane elevation is 0m, the destination box girder (member) elevation is 15m, and the crane is brand; inputting known component information: box girder (member) density 0.5 ton/m 3 The area of the steel plate is 0.5 square meter, and the pressure coefficient is 1.3; and selecting an area for placing a crane, connecting the area into a plane shape by using line segments, representing the field range which can be provided by actual construction, selecting a box girder (component) to be lifted after the system identification is completed, and completing the system identification of the box girder (component) volume and the maximum appearance size information, as shown in fig. 3. From the identified box girder (component) volume and known density, the system calculated the box girder (component) weight 2.315 tons, as shown in the interface of fig. 4.
The known setting parameters and the known component information are input through the interface, so that a user can conveniently and quickly set the parameters, and the area for placing the crane and the component to be lifted are selected. The system can automatically identify and calculate the field range, the component volume and the weight which can be provided by the crane, so that the complicated manual calculation steps are simplified; by introducing the hoisting component model and the construction site environment model, the system can accurately identify and measure the components, and calculate the maximum appearance size and weight information. Thus, errors possibly generated by artificial estimation or measurement can be avoided, and the accuracy and reliability of data are improved.
The system displays the identified component volume and the calculated weight information on the interface in real time, and a user can intuitively know the relevant parameters of the hoisting component. Thus, the crane model selection can be timely adjusted by a user and reasonable construction decisions can be made; through the BIM model and the system interface, each relevant party can share and view the identified component parameters, including designers, constructors, proctoring personnel and the like. Therefore, the communication efficiency can be improved, information transmission errors are reduced, and each party is ensured to have clear knowledge of the construction process.
And 3, setting a lifting point and selecting a member destination. After the lifting points are set in a point selection mode, the lifting points of the box girder (component) are set, and single-point lifting or multi-point lifting can be set, as shown in fig. 5. Setting the box girder to rotate along the central axis in the length direction, repeatedly adjusting parameters of the elevation angle, the arm length and the horizontal rotation angle of the crane according to various working conditions in the girder installation process under the possibly existing unfavorable working conditions during the rotation construction, copying the box girder to the position of the bridge higher than the support seat, and carrying out movement and rotation adjustment to obtain the destination elevation, as shown in fig. 6. The vertical and horizontal rotation of the crane can be realized, the real-time measurement of the horizontal rotation angle and the elevation angle of the simulated crane is realized, and the system program records the parameters of the least adverse working condition in the dynamic hoisting process of the box girder (member).
The system allows single-point lifting or multi-point lifting to be set, and selection is carried out according to actual requirements. Thus, the construction method can adapt to the shapes and weight distribution conditions of different components and improve the safety and efficiency of construction; through setting up case roof beam and rotating along length direction center pin, can simulate the unfavorable operating mode that the crane probably runs into when carrying out the rotation construction. The user can repeatedly adjust parameters such as the elevation angle, the arm length, the horizontal rotation angle and the like of the crane according to actual conditions, and the hoisting scheme is optimized. This reduces the risk during construction and ensures accurate position and attitude of the component.
The system can measure the vertical and horizontal rotation angles of the crane in real time and simulate the change process of the horizontal rotation angle and the elevation angle of the crane. Meanwhile, the system can record parameters of the least adverse working condition in the dynamic hoisting process of the box girder. Thus, accurate construction data can be provided, and support is provided for subsequent engineering analysis and evaluation; through the moving and rotating adjusting functions of the system, the box girder can be quickly copied to the position of the bridge higher than the support seat, and the destination elevation can be moved and rotated for adjustment. Thus, the construction time and the labor cost can be saved, and the construction efficiency is improved.
And 4, setting a lifting point of the destination, and intelligently analyzing and calculating by the system. After the step 3 is completed, the box girder hoisting in-place elevation is set, the initial hoisting point can be defaulted, the hoisting point can be reset, and after the system recording is completed, intelligent analysis and calculation are carried out, as shown in fig. 7.
The system allows the user to default to the initial lifting point or reset the lifting point. Therefore, the most suitable lifting point can be selected at the lifting position elevation according to actual conditions and requirements. Through intelligent analysis and calculation, the system can consider various factors such as the shape of a component, weight distribution and the like, and provide the optimal hoisting point position for a user; the intelligent analysis and calculation capability is provided, various factors such as the weight, the shape, the moment of inertia and the like of the components can be comprehensively considered, and the analysis can be carried out by combining the actual conditions of the construction site. By means of the support of the algorithm and the model, the system can give an optimal hoisting scheme aiming at specific components and hoisting conditions. Therefore, the construction risk can be reduced, and the hoisting efficiency and the safety are improved; the lifting point initially selected or reset by the user and the elevation of the finished lifting in place will be recorded. These data will be used for intelligent analysis calculations and can provide basis for subsequent engineering analysis and evaluation. Through the data recording and analyzing functions of the system, a user can better know the parameter change and effect in the hoisting process, and a reference is provided for optimization and improvement of a construction scheme.
And 5, after running calculation, intelligently analyzing the proper crane position and the optimal crane model, and issuing a calculation and analysis process report. The system simulates site conditions, intelligently analyzes and plans the space operation range according to the imported model, environment and hoisting important data information, and determines the crane position and crane parameters which meet the site and hoisting requirements through program calculation, so that the accurate and optimal crane model is determined quickly and efficiently. Wherein after the calculation of the program is completed, it is prompted whether a specific crane position is manually selected by means of technical experience, as shown in fig. 8.
5.1, selecting no, defaulting the crane position calculated by the system, simultaneously obtaining a hoisting box Liang Zuiyou crane model information table, and inquiring calculation result information: according to the weight 2.315 tons of the suspended object, the distance from the crane to 25.237 meters is equal to the optimal model QY70K-1, the balance weight of the crane is 0 tons, the working radius of the crane is 26 meters, the arm length of the crane is 44.5 meters, and the adaptive weight of the suspension arm is as follows: 2.5 tons, the length 33.943 meters of the actual boom extension, the horizontal turning angle 41.969 degrees of the crane, the vertical turning angle-94.751 degrees of the crane, the diameter of the lifting rope of 0.06 meter, the transverse spacing of the supporting legs of 7.3 meters, the longitudinal spacing of the supporting legs of 6.1 meters, the length of the crane of 13.9 meters, the width of the crane of 2.8 meters, the height of the crane of 3.575 meters, the diameter of the supporting legs of 0.22 meters and the diameter of the cushion block: 1 meter, and a minimum ground bearing capacity of 45.315 tons. With computing preferred process information. As shown in FIG. 10
5.2 if the position of the crane is selected to be set manually, a point is selected in the crane construction site area for setting the position of the crane, and if the arranged position is not placed under the crane, the indication that the hoisting area range is too small is provided, as shown in fig. 9. The position of another point can be selected again and the program runs the calculation quickly until the optimal crane model is obtained.
The system rapidly determines the proper crane position and the optimal crane model through intelligent analysis and program calculation. Therefore, the time for manually selecting the position and the model can be saved, and the working efficiency is improved; the system performs simulation and calculation according to the imported model, environment and hoisting data information, and can accurately determine crane positions and parameters suitable for sites and hoisting requirements. Thus, subjective errors of manual selection can be avoided, and the accuracy of the crane position and model is ensured.
The system calculates according to specific hoisting weight, distance and other parameters by combining a crane model information table, and gives the most suitable crane model. Therefore, the crane can be scientifically selected according to the calculation result, the construction risk is reduced, and meanwhile, the parameters such as the adaptive weight and arm length of the crane can be verified and evaluated based on the calculation result; the system can generate reports of computational analysis processes, including calculation processes of crane positions and optimal crane models, calculation result graphs, and the like. Therefore, the method is convenient for users to review and store, and provides basis for subsequent construction and evaluation.
And 6, optimizing a crane model and parameter information table. The method can accurately simulate the crane to install each working condition based on BIM technology, intuitively reflect the hoisting construction flow, the placing position of the automobile crane and the influence of the surrounding environment through a 3D model, analyze the information such as arm length, working radius, elevation angle and arm top elevation under each working condition, and obtain the result as shown in figure 11, and obtain the optimal crane information parameters: model QY70K-I, the driving state parameter table contains general parameters of the crane, and the working state parameter table contains parameters of the construction working condition. The automatically generated crane model has corresponding QY70K-I crane information data, size parameters, weight parameters and working state parameter information, and meanwhile, the component information field displays the minimum ground bearing capacity 45.315 tons required when the crane and the component are lifted, so that data support is better provided for ground hardening treatment of construction, the minimum foundation bearing load is met, and collapse accidents caused by overlarge bearing capacity and overlarge waste of materials are avoided.
The BIM technology is based on, the installation condition of the crane under each working condition can be accurately simulated, and the influence of the hoisting construction flow, the crane placement position and the surrounding environment can be intuitively displayed through the 3D model. Therefore, parameters such as arm length, operation radius, elevation angle and the like of the crane under different working conditions can be more accurately analyzed, and the optimal crane information parameters are obtained. Through visual display, a user can clearly understand the hoisting construction process, and decision making and evaluation are better carried out.
The automatically generated crane model has relevant data and parameters of the QY70K-I crane, including size, weight, working state and other information. At the same time, the component information bar also provides the minimum ground bearing capacity required by the crane and the component when lifted. The method provides data support for construction parties, can help the construction parties to reasonably plan and design ground hardening treatment, ensures the bearing capacity of the foundation to meet the requirements, and avoids wasting materials or causing collapse accidents.
By accurately simulating and optimizing the model and parameters of the crane based on BIM technology, the construction efficiency and safety can be improved. The accurate crane information parameters can ensure the stability and reliability in the hoisting construction process, and avoid safety accidents caused by improper selection. Meanwhile, through visual display, constructors can better understand the hoisting flow and the working condition requirements, so that the construction efficiency is improved.
Simulation and preferred crane solutions based on BIM technology can generate detailed data and reports including crane models, parameter information, component load capacity, etc. These data may be recorded and backed up for use in subsequent construction management, process improvement, and project assessment.
And 7, outputting an accurate and comprehensive three-dimensional effect diagram and a hoisting sectional diagram. Clicking on "model preview" in fig. 11 generates a three-dimensional crane model and lifting conditions, as in fig. 12. And displaying the relation between the distribution position, the working radius and the construction site area of the crane after intelligent analysis. The crane model comprises model information parameters and working state information parameters, and the elevation angle, arm length, horizontal rotation angle and the like of the crane model on the left side of fig. 12 can be adjusted to visually check the three-dimensional dynamic effect diagram.
Clicking the "section view" in fig. 11 outputs a plan view of each working condition of the hoisting and a section view of a parallel main arm, as shown in fig. 13, 14 and 15, wherein the section details the main arm length and the top elevation, the main arm elevation angle and the working radius of the hoisting, and the section is used as a scheme accessory to guide construction without additionally manually drawing drawings.
The crane model and the hoisting condition can be accurately presented through the three-dimensional effect map and the hoisting sectional map generated by intelligent analysis. The crane model comprises model information parameters and working state information parameters, and can be adjusted according to actual needs to visually check the three-dimensional dynamic effect of the crane under different parameters. Parameters such as main arm length, top elevation, main arm elevation angle and working radius of the crane are marked in detail in the section view, comprehensive information is provided for construction, and the workload of manually drawing drawings is reduced.
Through the three-dimensional effect diagram and the hoisting sectional diagram, a user can intuitively know the distribution position, the working radius and the relation of the construction site area of the crane. Through adjusting parameters such as crane elevation angle, arm length, horizontal rotation angle and the like, the performance of the crane model under different working conditions can be checked in real time, and a user is helped to better understand the hoisting scheme and make decisions.
The generated three-dimensional effect drawing and hoisting sectional drawing can be used as scheme accessories and directly used for construction guidance without additional manual drawing. Therefore, time and energy can be saved, and the working efficiency is improved. Meanwhile, detailed labels in the drawings facilitate understanding and operation of constructors, and misunderstanding and mistakes are reduced.
And the generated three-dimensional effect graph and the hoisting section graph are consistent with the model data through simulation analysis based on BIM technology. Thus, the accuracy and consistency of the data are ensured, and a reliable reference basis can be provided in the subsequent construction management and evaluation process. Meanwhile, the drawing data can be recorded and backed up, so that the subsequent use and the reference are convenient.
In summary, the intelligent optimal hoisting equipment is arranged in position and model, the actual hoisting construction dynamic process is simulated, and the hoisting equipment model and parameter information table are generated, so that the defect that the operation information, the site information and the equipment information of the hoisting equipment cannot be well embodied in a two-dimensional plane is overcome, the three-dimensional visual display is realized, the model selection accuracy and the technical feasibility of the hoisting equipment are improved, the scheme is directly shown, and the manual drawing of the section view and the working condition diagrams of various adverse points are omitted. Has higher popularization value for engineering construction in the application range.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of units is only one logical function division, and there may be other divisions in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. The intelligent type selection construction method of the component hoisting equipment based on the BIM technology is characterized by comprising the following steps of:
building a BIM-based intelligent hoisting analysis system with a built-in parameterized crane model family library, a crane model information table, a performance parameter table, a regional distance and a selection constraint calculation algorithm;
identifying a crane construction site area and a hoisting member, and introducing a hoisting member model and a construction site environment model into a BIM-based hoisting intelligent analysis system;
setting a lifting point and selecting a member destination;
setting a lifting point of a destination, and performing intelligent analysis and calculation through a constraint calculation algorithm;
intelligently analyzing proper crane positions and optimal crane models, and issuing a calculation analysis process report;
performing optimization of a crane model and parameter information table based on the process report;
and outputting a three-dimensional effect drawing and a hoisting sectional drawing.
2. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, which is characterized in that: the parameterized crane model family library is used for parameterizing the characteristic information of one or more of a crane model, a weight, a length, a width, a height, an arm length, a lateral distance of supporting legs, a longitudinal distance of the supporting legs, a working radius and an elevation angle.
3. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, which is characterized in that: the crane model information table and the performance parameter table are formed by carrying out linkage association on a parameterized crane model, an information table of a common brand crane and a performance parameter table, and automatically generating 1 containing corresponding characteristic information after determining the crane model: 1 crane model.
4. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to any one of claims 1-3, wherein the regional distance and model selection constraint calculation algorithm is realized by adopting the following method:
setting the condition that the maximum lifting weight of the crane is larger than the weight of the suspended object, and searching a crane model range interval in a database through the weight of the suspended object;
judging whether all cranes in the crane model range can be placed in a crane area of a construction site or not;
judging whether the maximum working radius in the crane data is larger than or equal to the actual working radius calculated currently according to the result, so that the most suitable crane arrangement position is selected in the area;
according to the result, circularly judging whether the proper weight in the crane data is more than or equal to the weight of the current suspended object;
according to the analysis result, through the crane elevation point, the minimum angle of the lifting member Gao Chengdian, the lifting rope and the lifting member, the distance between the farthest lifting rope and the center of the lifting point, the horizontal distance of the lifting member at the position of the suspension arm and the angle between the suspension arm and the vehicle body are used as judgment basis as information, whether the suspension arm collides with the lifting member is judged, and meanwhile, whether the angle between the suspension arm and the vehicle body meets the standard requirement is judged until the condition result is met.
5. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, wherein the method for introducing the hoisting component model and the construction site environment model into the intelligent analysis system based on the BIM technology is as follows:
inputting known setting parameters: crane elevation, destination tank Liang Gaocheng, crane brand;
inputting known component information: box girder density, steel plate area and pressure coefficient;
selecting an area for placing a crane, connecting the area into a plane shape by using line segments, representing the field range which can be provided by actual construction, selecting a box girder to be lifted after system identification is completed, and completing system identification of the box girder volume;
from the identified box girder volume and the known density, the box girder weight is calculated.
6. The intelligent type selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, wherein the method for setting the hoisting point and selecting the component destination is as follows:
after the lifting points are set in a spot selection mode, the lifting points of the box girders are set;
setting the box girder to rotate along the central axis in the length direction, and repeatedly adjusting parameters of the elevation angle, the arm length and the horizontal rotation angle of the crane according to working conditions in the girder installation process;
copying the box girder to the position of the bridge higher than the support seat, moving and rotating to adjust the destination elevation, realizing the vertical and horizontal rotation of the crane, and realizing the real-time measurement of the horizontal corner and the elevation of the simulated crane;
recording parameters of unfavorable working conditions in the dynamic hoisting process of the box girder.
7. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, wherein the method for providing a calculation analysis process report is as follows:
simulating site conditions according to the imported model, environment and hoisting important data information, and intelligently analyzing and planning a space operation range;
and (3) determining crane positions and crane parameters which meet the field and lifting requirements through program calculation, and determining the optimal crane model.
8. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology as claimed in claim 7, wherein the method comprises the following steps: entering a manual selection option after program calculation, if the manual selection is not entered, defaulting to a crane position calculated by a BIM-based hoisting intelligent analysis system, obtaining a hoisting box Liang Zuiyou crane model information table, and inquiring calculation result information; if the manual selection is selected, selecting one point to set the position of the crane in the crane construction field area, if the arranged position is not placed under the crane, prompting that the hoisting area range is too small, and reselecting the position of the other point again until the arranged position capable of placing down the crane is obtained.
9. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, which is characterized in that: the parameter information table comprises crane information data, size parameters, weight parameters, working state parameter information and minimum ground bearing capacity information required by the crane and the member during hoisting.
10. The intelligent model selection construction method for the component hoisting equipment based on the BIM technology according to claim 1, which is characterized in that: the three-dimensional effect diagram is a three-dimensional crane model, the three-dimensional crane model comprises model information parameters and working state information parameters, and the hoisting section diagram is marked with the main arm length, the top elevation, the main arm elevation angle and the working radius of the crane.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311073489.0A CN117574595B (en) | 2023-08-24 | Intelligent construction method for selecting component hoisting equipment based on BIM technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311073489.0A CN117574595B (en) | 2023-08-24 | Intelligent construction method for selecting component hoisting equipment based on BIM technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117574595A true CN117574595A (en) | 2024-02-20 |
| CN117574595B CN117574595B (en) | 2024-07-19 |
Family
ID=
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017016489A (en) * | 2015-07-03 | 2017-01-19 | 日立造船株式会社 | Crane interference check system, bridge construction simulation system and 3d construction plan system having the systems |
| CN106372302A (en) * | 2016-08-31 | 2017-02-01 | 浙江精工钢结构集团有限公司 | Tower crane automatic model selection and optimization system and method based on BIM (Building Information Modeling) technology |
| CN108319741A (en) * | 2017-12-12 | 2018-07-24 | 上海建工五建集团有限公司 | Tower crane arrangement methods of comparison and selection based on BIM and system |
| KR20190078984A (en) * | 2017-12-27 | 2019-07-05 | 대우조선해양 주식회사 | Monitoring system for preventing lift objects collision against crane |
| KR102003198B1 (en) * | 2018-09-21 | 2019-07-24 | 한국리깅기술연구소(주) | selection system of crane and method thereof |
| CN110135757A (en) * | 2019-05-23 | 2019-08-16 | 中铁二局集团有限公司 | A kind of method of weight in determining limited space, big lifting component scheme |
| CN111461927A (en) * | 2020-04-01 | 2020-07-28 | 华中科技大学 | Tower crane type selection system and method based on BIM and time-varying reliability analysis |
| CN111539570A (en) * | 2020-04-23 | 2020-08-14 | 中国建筑一局(集团)有限公司 | Tower crane type selection and arrangement optimization method and system for group towers |
| CN112069698A (en) * | 2020-09-27 | 2020-12-11 | 中国化学工程第六建设有限公司 | Hoisting simulation construction method and system based on BIM |
| CN112069671A (en) * | 2020-08-28 | 2020-12-11 | 中冶(上海)钢结构科技有限公司 | Steel structure hoisting equipment type selection and arrangement optimization method based on BIM model |
| CN113003448A (en) * | 2021-03-22 | 2021-06-22 | 中建四局第五建筑工程有限公司 | Assembly type engineering tower crane arrangement method based on BIM technology |
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017016489A (en) * | 2015-07-03 | 2017-01-19 | 日立造船株式会社 | Crane interference check system, bridge construction simulation system and 3d construction plan system having the systems |
| CN106372302A (en) * | 2016-08-31 | 2017-02-01 | 浙江精工钢结构集团有限公司 | Tower crane automatic model selection and optimization system and method based on BIM (Building Information Modeling) technology |
| CN108319741A (en) * | 2017-12-12 | 2018-07-24 | 上海建工五建集团有限公司 | Tower crane arrangement methods of comparison and selection based on BIM and system |
| KR20190078984A (en) * | 2017-12-27 | 2019-07-05 | 대우조선해양 주식회사 | Monitoring system for preventing lift objects collision against crane |
| KR102003198B1 (en) * | 2018-09-21 | 2019-07-24 | 한국리깅기술연구소(주) | selection system of crane and method thereof |
| CN110135757A (en) * | 2019-05-23 | 2019-08-16 | 中铁二局集团有限公司 | A kind of method of weight in determining limited space, big lifting component scheme |
| CN111461927A (en) * | 2020-04-01 | 2020-07-28 | 华中科技大学 | Tower crane type selection system and method based on BIM and time-varying reliability analysis |
| CN111539570A (en) * | 2020-04-23 | 2020-08-14 | 中国建筑一局(集团)有限公司 | Tower crane type selection and arrangement optimization method and system for group towers |
| CN112069671A (en) * | 2020-08-28 | 2020-12-11 | 中冶(上海)钢结构科技有限公司 | Steel structure hoisting equipment type selection and arrangement optimization method based on BIM model |
| CN112069698A (en) * | 2020-09-27 | 2020-12-11 | 中国化学工程第六建设有限公司 | Hoisting simulation construction method and system based on BIM |
| CN113003448A (en) * | 2021-03-22 | 2021-06-22 | 中建四局第五建筑工程有限公司 | Assembly type engineering tower crane arrangement method based on BIM technology |
Non-Patent Citations (4)
| Title |
|---|
| ALAAELDIN MAGDY HEBIBA ET AL: "Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location", JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, vol. 148, no. 11, 9 September 2022 (2022-09-09), pages 1 - 17 * |
| 万元;: "BIM技术在群塔机管理控制中的应用", 建筑施工, no. 09, 25 September 2018 (2018-09-25), pages 159 - 160 * |
| 刘猛;黄春;王京京;王文琦;张睿;: "基于混合整数线性规划的塔吊选型与布置优化", 土木工程与管理学报, no. 02, 15 April 2020 (2020-04-15), pages 145 - 153 * |
| 李娜: "基于粒子群算法的施工现场塔吊布置规划及应用研究", 中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑, no. 8, 15 August 2021 (2021-08-15), pages 2 - 5 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114511202B (en) | BIM-based full-period engineering project management method and platform | |
| US20220309201A1 (en) | Artificial-intelligence-assisted method for providing urban design form and layout with improved wind environment | |
| CN110008591B (en) | Continuous rigid frame bridge construction management control method based on BIM | |
| CN109594591A (en) | A kind of real-time system for monitoring and pre-warning and its monitoring and pre-alarming method of Metro station excavation | |
| CN111062081A (en) | Underground continuous wall construction method based on BIM technology | |
| CN106227977A (en) | A kind of method of steel structure net rack hydraulic pressure lift time-varying finite element analysis based on BIM | |
| US20220404834A1 (en) | Simulator | |
| CN111337944B (en) | Tower footing acceptance check method and device based on foundation laser radar | |
| CN112434364A (en) | IFC-based construction project early-stage digital delivery and review system and method | |
| CN111291436A (en) | BIM-based high formwork safety management monitoring method and monitoring system | |
| CN111429575A (en) | Three-dimensional visual monitoring method, system, equipment and storage medium | |
| CN115560690A (en) | Structural object overall deformation analysis method based on three-dimensional laser scanning technology | |
| CN112330184A (en) | Construction risk prediction method, device, equipment and medium | |
| CN110991918A (en) | Safety risk assessment method in existing building construction project | |
| CN113902321A (en) | Micro site selection evaluation method and device for wind power plant and computer readable storage medium | |
| CN112051817A (en) | Intelligent paving monitoring system for earth and rockfill dam and monitoring method thereof | |
| CN116863079A (en) | Three-dimensional modeling method, system, equipment and medium for overhead line | |
| CN117574595B (en) | Intelligent construction method for selecting component hoisting equipment based on BIM technology | |
| CN108364348B (en) | Control rule verification method, system and platform for urban design | |
| CN111046475B (en) | Method and device for calculating building area and storage medium | |
| CN117574595A (en) | Intelligent construction method for selecting component hoisting equipment based on BIM technology | |
| CN112926027B (en) | Foundation pit risk monitoring system based on machine learning | |
| CN104394039A (en) | Evaluation system and evaluation method for network performance maturity based on Sigmoid exponential model | |
| CN112484695A (en) | Building indoor space clear height analysis method and device based on BIM model | |
| CN110634186A (en) | Arch cover method underground excavation construction method based on BIM |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant |