CN118094844A - Deepening design method of assembled prefabricated member - Google Patents
Deepening design method of assembled prefabricated member Download PDFInfo
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- 238000010276 construction Methods 0.000 claims abstract description 19
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- 238000005457 optimization Methods 0.000 claims abstract description 4
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- 238000009417 prefabrication Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
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- 229910001294 Reinforcing steel Inorganic materials 0.000 description 2
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- 238000007619 statistical method Methods 0.000 description 2
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- 238000005259 measurement Methods 0.000 description 1
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- 239000010959 steel Substances 0.000 description 1
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Abstract
The invention discloses a deepened design method of an assembled prefabricated member, which comprises the following steps: step one, reading and primarily analyzing model and drawing data; step two, carrying out deepening design on the target prefabricated member; step three, automatically generating a deepened design drawing and a visualized model according to the deepened design data; step four, statistics and optimization of prefabricated member production data; step five, planning site stacking points of prefabricated members, planning a carrying and installing path and planning a transportation loading sequence; and step six, simulating the on-site carrying and installing process of the prefabricated member. The method of the invention can rapidly acquire the information meeting the algorithm requirement through the optimized pretreatment workflow aiming at CAD construction drawings with larger differences of layout and drawing modes provided by different projects, thereby instantaneously obtaining the output result of the deepened design algorithm; the efficiency of the traditional operation mode is obviously improved, the data output of the system can guide the construction of site workers, and the corresponding robot products can be used to energize the building robot.
Description
Technical Field
The invention belongs to the technical field of building construction design, and particularly relates to a deepened design method of an assembled prefabricated member.
Background
The existing deepening design method in the building construction field is mostly to manually design and draw based on a construction drawing CAD file, manually count deepening design results and manufacture production and production scheduling tables, and the working mode of CAD drawing deepening design drawings is still mainstream although the fact that BIM forward design is a future trend is considered, the current utilization rate is not high. CAD drawing and model information management have great differences among various projects, many projects are not standardized enough, existing related software has great limitation on processing drawings, and the data information is not directly inherited and used by subsequent works, such as factory production or field mechanized construction.
Disclosure of Invention
In order to solve the problems, the invention provides a deepened design method of an assembled prefabricated member, which not only can extract BIM model information, but also can intelligently identify two-dimensional data information of CAD drawings and obtain accurate three-dimensional information, and further can be used for deepened design of the prefabricated member.
The invention provides a deepened design method of an assembled prefabricated member, which comprises the following steps:
step one: reading and primarily analyzing model and drawing data;
step two: carrying out deepening design on the target prefabricated member;
step three: automatically generating a deepened design drawing and a visualized model according to the deepened design data;
step four: carrying out statistics and optimization on prefabricated member production data;
Step five: planning site stacking points of prefabricated parts, planning a carrying and installing path and planning a transportation loading sequence;
Step six: and simulating the on-site carrying and installing process of the prefabricated part.
In some embodiments, the first step specifically includes: the method comprises the steps of obtaining CAD files or/and BIM files, classifying and merging different professional file data, preprocessing a target model and a drawing so as to enable a program to identify, determining geometric features and attribute information of a target prefabricated member and geometric features and attribute information of other building components, and translating a K-nearest neighbor algorithm by using a KNN algorithm, so that the method is a non-parameter statistical method for classification and regression, and the geometric matching speed is improved.
In some embodiments, the step one further comprises: and automatically acquiring detailed size and position information of the building model by the program for the CAD file or/and the BIM model file after preprocessing the unified format, checking whether the acquired target prefabricated member wall body to be deeply designed meets the deep design condition, and adjusting and confirming the position and shape of the target prefabricated member wall body finally used for the deep design according to project side requirements.
In some embodiments, the step two specifically includes: and inputting standard size and non-standard size ranges of the prefabricated members, applying a double-layer embedded evolution algorithm according to the determined prefabricated member splitting rules and construction process requirements, constructing an adaptive value function, and optimizing a splitting result.
In some embodiments, the step three specifically includes: generating prefabricated member CAD graph blocks or/and BIM model elements with adjustable parameters according to the prefabricated member information input in the second step; and (3) automatically drawing CAD drawings and BIM models meeting factory production requirements and suitable for on-site construction of deepened designs according to the splitting result of the step two and corresponding prefabricated member information.
In some embodiments, the step three comprises: and (3) generating a three-dimensional environment model except for the target prefabricated member wall according to the size and position information of the first step, and using the three-dimensional environment model for subsequent planning algorithms and visual simulation.
In some embodiments, the step four specifically includes: according to the principle of mounting the allowable error range and reducing the production cost, producing and uniformly cutting prefabricated members with similar modulus by adopting the same die; and marking the produced prefabricated member, and marking by spraying a bar code or/and RFID labeling.
In some embodiments, the fifth step specifically includes: searching a reasonable area for stacking the prefabricated members, wherein the reasonable area is in a two-dimensional plane and a height range, the prefabricated members are allowed not to collide with the surrounding environment or/and at least one side of the reasonable area is reserved to enable workers or robots to move.
In some embodiments, the fifth step further comprises: the transportation and installation path planning plans an installation sequence according to the priority order, and after the installation sequence is acquired, the path from the transportation elevator to the stacking position and the movement planning from the stacking position to the installation position are carried out on the prefabricated member;
Wherein the priority order is as follows: the target installation positions of the prefabricated parts which are not installed are in an reachable state, the prefabricated parts in the same wall body are sequentially installed according to the space adjacent positions, the same wall body is installed from one side close to the barrier to the other side, and the whole installation sequence is installed according to the direction from a far stacking point to a position close to the stacking point.
In some embodiments, the step six includes: simulating a prefabricated member carrying process and estimating a project period based on stacking point planning, path planning, loading sequence planning and corresponding manual or robot operation mode and efficiency parameters planned in the step five; dynamically and visually presenting the step in the step five, and synchronously presenting the engineering progress and other engineering real-time data; and comparing the real-time positioning information of the laser radar with the data information of the robot by real-time feedback on a visual platform and a simulation process.
Compared with the prior art, the deepened design method of the fabricated prefabricated member is mainly characterized in that the information meeting the algorithm requirement can be quickly obtained through optimized pretreatment workflow according to CAD construction drawings with larger differences of layout and drawing modes provided by different projects, so that the output result of the deepened design algorithm is obtained instantaneously; the efficiency of the traditional operation mode is remarkably improved, the data output of the system can guide site workers to construct, and corresponding robot products can be used, for example, the result of a motion planning algorithm can be used for a transfer robot to finish prefabricated member transportation operation, so that a construction robot is energized.
Drawings
In order to more clearly explain the technical solutions in the embodiments of the present application, the drawings that are used in the embodiments of the present application will be described below.
Fig. 1 is a flowchart of a method for deepening design of an assembled preform according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The terms "first", "second", and the like in the embodiments of the present application are merely for distinguishing related technical features, and do not indicate a sequence. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the application herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the present application, the terms "upper", "lower", "inner", "middle", "outer", "front", "rear", and the like indicate an azimuth or a positional relationship based on that shown in the drawings. These terms are only used to better describe the present application and its embodiments and are not intended to limit the scope of the indicated devices, elements or components to the particular orientations or to configure and operate in the particular orientations.
Also, some of the terms described above may be used to indicate other meanings in addition to orientation or positional relationships, for example, the term "upper" may also be used to indicate some sort of attachment or connection in some cases. The specific meaning of these terms in the present application will be understood by those of ordinary skill in the art according to the specific circumstances.
Examples
The embodiment of the invention provides a deepening design method of an assembled prefabricated member, which is shown by referring to fig. 1 and comprises the following steps of:
Step S1: and reading and primarily analyzing model and drawing data. More specifically, step S1 specifically includes: and acquiring CAD files or/and BIM files, classifying and merging different professional file data, and preprocessing a target model and a drawing so as to enable a program to identify and determine attribute information of a target prefabricated member and attribute information of other building components.
Step S1 further includes: and the program automatically acquires detailed size and position information of the building model for the CAD file or/and the BIM model file after preprocessing the unified format, classifies the building model according to the information such as geometric types, attributes and the like, and then interprets the K-nearest neighbor algorithm by using the KNN algorithm, so that the method is a non-parameter statistical method for classification and regression to match with graphic elements, and the calculation efficiency is improved. Checking whether the obtained target prefabricated member wall body to be deeply designed meets the deep design condition.
The method comprises the steps of obtaining CAD files or BIM files, including drawing files such as buildings, structures, water heating electric and electromechanical models, classifying and merging different professional file data, preprocessing a target model and the drawing so that a program can identify and determine attribute information of a target prefabricated member and attribute information of other building components. For example, the dimension labels in the CAD drawing correspond to the labeling objects, and the dimension of the model elements in the BIM model and other attribute information.
The KNN search matching is used because for a common CAD drawing, a more common geometric matching mode is used, and compared with a program for a specific building component, the application range is wider, so that lines and marks of a target graph can be identified, and overlapping graphs, similar graphs can be removed, error graphs can be deleted, missing graphs can be complemented and the like.
For the CAD file or BIM model file after preprocessing the unified format, the program automatically acquires the detailed size and position information of the building model, taking AAC (Autoclaved AERATED LIGHTWEIGHT Concrete Chinese: autoclaved aerated Concrete) laths as an example, the program can calculate the detailed size and position information of the target AAC wall body according to the size information of the bearing wall, the beam, the column, the non-AAC partition wall, the lintel, the back sill and the like, including the thickness, the length, the height of the AAC wall body, the position of the embedded part and the size and position information of the constructional column, and can adjust the parameters of the target prefabricated member in real time according to the requirements of project parties and feed back the parameters to the deep design result.
Checking whether the obtained target prefabricated member wall body to be deeply designed meets the deep design condition or not, taking an AAC slat as an example, judging whether the position of a constructional column generated in the AAC wall body is reasonable or not, and if the AAC slat is adopted in a door stack, judging whether the AAC slat in the project can be cut into an excessively short size or not. If the AAC strip is internally provided with reinforcing steel bars, the cut AAC strip part is still internally provided with reinforcing steel bars, and if the AAC is internally provided with a structure of embedded steel plates, the AAC strip is relatively free from the limitations.
Therefore, the scheme has wider applicability, most of the existing schemes are based on BIM models only, and the scheme can acquire data from the BIM models and two-dimensional CAD drawings. Considering that although BIM forward design is a future trend, most of the projects are still operated in a CAD drawing-based mode at present, so that the scheme can not only extract BIM model information, but also intelligently identify CAD graphs and label two-dimensional data information and obtain accurate three-dimensional information, and further can be used for deepening the design of prefabricated parts.
Step S2: and carrying out deepening design on the target prefabricated member. More specifically, step S2 specifically includes: and inputting standard size and non-standard size ranges of the prefabricated members, applying a double-layer embedded evolution algorithm according to the determined prefabricated member splitting rules and construction process requirements, constructing an adaptive value function, and optimizing a splitting result.
In the step S1, the size and position information of the wall body of the target prefabricated member are obtained, and the standard size and non-standard size range of the prefabricated member is input on the basis of the size and position information. For example, for a wall body formed by AAC laths, information of the height, width and thickness of a standard piece of the AAC lath used for the corresponding wall body and information of the size of a mortar joint when the standard piece of the adjacent AAC lath is installed need to be input, and for an AAC lath with a non-standard width, a proper cutting scheme needs to be provided. For AAC blocks, after the size information of the AAC blocks is input, the size range of mortar joints between the AAC blocks built on the same layer is input, and meanwhile, the staggered distance between the AAC blocks on the upper layer and the lower layer and the cutting scheme of the corresponding non-standard size are also clear.
On the basis of defining the wall size and the relevant size of the prefabricated member, a splitting rule needs to be specified, so that the constraint condition of a splitting algorithm is determined. The splitting algorithm aims at reducing the loss of the whole prefabricated member and reducing the cost. Concretely, taking an AAC slat as an example:
the target wall body is split into as many AAC (advanced construction method) strips with standard sizes as possible, so that the workload of on-site cutting is reduced.
And (3) carrying out proper adjustment and arrangement on all the generated nonstandard AAC strips, marking nonstandard AAC strips which can form one standard AAC strip with each other, and merging and counting the nonstandard AAC strips into one AAC strip during production, so that the construction loss rate of the AAC strips is reduced.
And according to the determined prefabricated member splitting rule, a double-layer embedded evolutionary algorithm is applied to construct an adaptive value function, and the splitting result of the target wall body is optimized, taking an AAC slat as an example.
The evolution algorithm is to calculate a large amount of adaptive value functions constructed under given conditions by means of the high-speed computing capability of a computer to obtain a relatively optimal solution, wherein the solution is embodied by continuously adjusting the splitting scheme of an AAC wall body, such as the combination mode of standard components and non-standard components of AAC battens of the same wall body, and the combination mode and cutting mode of non-standard AAC battens during production and production of the AAC battens, so that the AAC loss rate is minimum.
In the combination mode, the standard AAC strip is characterized in that the standard AAC strip is combined into one standard AAC strip when the width addition is insufficient for the standard component width, and the standard AAC strip which is split into the standard AAC strips can be considered to meet the requirements in height at the same time. Due to the diversity of the combination, a relatively optimal solution needs to be obtained by means of a program algorithm.
Because the AAC lath standard components are required to be used as much as possible, and the cutting loss of the non-standard components is required to be small, the constructed adaptive value function needs to comprehensively consider the weights of the two parameters and adjust the weight values of the two parameters according to project requirements, so that the relative optimal solution obtained by the adaptive value function can comprehensively satisfy the conditions of the two parameters.
In consideration of machining precision, the size change amplitude is required to be changed when the AAC size combination mode is changed, for example, the change is performed by taking 5mm or 10mm as a modulus as much as possible, and the numerical value of 2mm or 7.6mm is not required to appear, so that the obtained nonstandard AAC lath size modulus is less, the machining production and the on-site measurement and cutting are convenient, and the precision and the efficiency are improved.
Step S3: and automatically generating a deepened design drawing and a visualized model according to the deepened design data. More specifically, step S3 specifically includes: generating prefabricated member CAD graph blocks or/and BIM model elements with adjustable parameters according to the prefabricated member information input in the step S2; and (3) automatically drawing a CAD drawing and a BIM model which meet the deep design drawing standard meeting the factory production requirements and suitable for site construction according to the splitting result of the step (S2) and the corresponding prefabricated member information. The step S3 comprises the following steps: according to the size and position information of the step S1, an environment model except for the target prefabricated member wall is generated, and the environment model can be a three-dimensional environment model for subsequent planning algorithm and visual simulation.
And generating a prefabricated member CAD graph block or a BIM model element with adjustable parameters according to the detailed prefabricated member size information input in the step S2. Taking AAC laths as an example, the dimensions of the grooves and protrusions on both sides of the AAC laths need to be embodied in the generated pattern block and model, not just a rectangular line or cuboid model.
According to the splitting result of the step S2 and the corresponding detailed prefabricated member size information, automatically drawing a CAD drawing and a BIM model meeting the deepened design drawing standard, taking an AAC slat as an example:
according to the splitting result, the AAC lath patterns or models with different sizes corresponding to the wall are sequentially drawn on the base line of the wall.
And according to the position of the target wall and the geometric position relation with other surrounding building entities, automatically adjusting the directions of the grooves and the protrusions of the AAC laths of the wall.
According to the size of the preset mortar joints, the mortar joints are reserved between the adjacent AAC battens.
And according to drawing specifications, automatically marking the dimension information of all AAC strips and the dimension information statistics of the mortar joints, and associating numbers and data.
The space division is performed according to the building space characteristics, for example, the residential building is performed according to the house type, and the public building is performed according to the fireproof partition. The division space is favorable for planning the stacking position of the prefabricated members, so that the carrying distance from the stacking position to the mounting position is reduced, and the efficiency is improved.
Numbering all prefabricated members according to the divided space and the splitting result of the corresponding wall body, and associating and corresponding the numbering information with the corresponding prefabricated member size and position information so as to facilitate subsequent further planning and production processing.
And (3) generating an environment model except for the target prefabricated member wall according to the size and position information in the step (S1), wherein the environment model comprises a shear wall model, a Liang Moxing model, a column model, a back sill model and the like. The established environment model can be used for detecting whether the generated prefabricated member collides with the environment or not on the one hand, and can be used for subsequent point location and path planning on the other hand.
Step S4: and (5) carrying out statistics and optimization on the production data of the prefabricated parts. More specifically, step S4 specifically includes: adopting the same die for prefabricated members with similar modulus and uniformly cutting the prefabricated members; marking the produced prefabricated member, and marking the prefabricated member by spraying bar codes or/and RFID labeling; and (3) producing and uniformly cutting prefabricated members with similar modulus by adopting the same die according to the principle of mounting allowable error range and reducing production cost.
In order to reduce the modulus of the prefabricated parts, namely the number of the dies, the prefabricated parts with similar modulus can be produced by adopting the same die and uniformly cutting, so that the cost is reduced, and therefore, in the data processing of the prefabricated part processing, the prefabricated part batches with similar dimensions can be considered to be combined. Taking AAC laths as an example, the height dimension difference of the AAC laths of the same layer is mainly represented by beam height, beam passing height and back ridge dimension, and because the standard AAC width dimension is basically determined to be 600mm, the AAC laths of batches with similar heights are mainly produced by using the same die and then are uniformly cut.
According to the further optimized prefabricated member information, data information such as AAC strip size, corresponding number, cubic amount, carrying square amount, total number and the like is counted and output according to the requirement statistic data by taking AAC strip as an example, and the data information is used for engineering accounting.
The produced prefabricated members are marked, and the produced prefabricated members are marked in a mode of spraying bar codes or RFID labeling, so that the processes of loading, carrying, installing and the like can be in one-to-one correspondence with the planning results and the actual prefabricated members.
Step S5: and (5) planning site stacking points of the prefabricated parts, planning a carrying and installing path and planning a transportation loading sequence. More specifically, step S5 specifically includes: and searching a reasonable area for stacking the prefabricated parts, wherein the reasonable area is in a two-dimensional plane and a height range, the prefabricated parts are allowed not to collide with the surrounding environment or/and at least one side of the reasonable area is reserved so as to enable workers or robots to move.
Step S5 further includes: planning a carrying installation path to plan an installation sequence according to the priority order, and after the installation sequence is acquired, planning the movement of the prefabricated member from the transportation elevator to the stacking position and from the stacking position to the installation position;
Wherein the priority order is as follows: the target installation positions of the prefabricated parts which are not installed are in an reachable state, the prefabricated parts in the same wall body are sequentially installed according to the space adjacent positions, the same wall body is installed from one side close to the barrier to the other side, and the whole installation sequence is installed according to the direction from a far stacking point to a position close to the stacking point.
And (3) planning stacking points of the prefabricated members on site, searching a reasonable area for stacking the prefabricated members according to the building space divided in the step (S3), and meeting the following conditions:
the area for stacking the prefabricated parts is in a two-dimensional plane and a height range, so that the prefabricated parts can be allowed to be prevented from colliding with the environment;
At least one side of the area for stacking the prefabricated parts is reserved with an area capable of enabling workers or robots to move, and the area is used for transferring the prefabricated parts and moving and rotating the prefabricated parts;
The total distance from the stacking position of the preforms to the corresponding mounting position should be relatively shortest as possible;
The stacking position of the prefabricated members is avoided in areas where workers or robots work at high frequencies, such as door openings, hallways and the like, pass through, and the workers and the robots are prevented from being blocked.
Planning a prefabrication installation sequence: in the prefabrication installation process, the whole building environment and the prefabrication model are in a dynamic change process, so that the reasonable planning of the installation sequence is beneficial to the more reasonable follow-up path planning.
The target installation position of the uninstalled prefabricated member must be reachable, and the installed prefabricated member cannot block the transportation path or limit the installation operation space;
The prefabricated parts in the same wall body are sequentially installed according to the adjacent positions in space;
The same wall body is arranged from one side close to the barrier to the other side;
The whole installation sequence is to install according to the direction from the position far from the stacking point to the position close to the stacking point;
The sequence is the priority order of the weight of the planning installation sequence, the prefabrication installation sequence planning algorithm is combed based on the rule as a judging condition, the sequence number of the installation sequence is obtained, and the sequence number is mapped and corresponds to the number of the prefabrication.
After the installation sequence is acquired in step S5, the path of the preforms from the transport elevator to the stacking position and from the stacking position to the installation position need to be motion planned:
The motion planning algorithm is a motion planning algorithm based on sampling, the specific parameters are needed to be the starting point position, the size of the motion rigid body and the gravity center position, and finally the motion track position of the motion rigid body and the gesture corresponding to each position are obtained.
The motion rigid body is a carrier for carrying workers and prefabricated members or a carrying or installing robot for carrying the prefabricated members, and the motion planning algorithm can guide the operation mode of transporting the prefabricated members, for example, how to transport the AAC lath in a narrow residential space can achieve maximum efficiency and can smoothly bypass obstacles. The result of path planning can guide the worker operation or the robot operation by an operator, and the robot loaded with the laser radar can automatically cruise, so that the prefabricated member transportation task is automatically completed according to the planned path and gesture.
If necessary, according to the orientation of the preform at the mounting position in step S3, it is also necessary to plan the direction and position in which the handling and mounting robot grips the corresponding preform.
Based on the serial numbers, the installation sequence serial numbers and the stacking point position serial numbers of the prefabricated members, the prefabricated members positioned at the same stacking point position are sequentially loaded according to the installation sequence as far as possible by identifying the bar codes or the RFID information on the prefabricated members, so that the prefabricated members after unloading can be directly transported to a stacking area without reordering to carry out further transportation and installation operation, and the problem of low transportation and installation efficiency caused by inconsistent arrangement and installation sequence of the prefabricated members in the stacking area is avoided, or the problem of mismatching of a planning path and the prefabricated members is avoided.
The intelligent algorithm is innovatively introduced in the scheme for combining the prefabricated members and transporting the prefabricated members for motion planning, and an automatic algorithm is adopted in the aspects of extracting graph and model data, counting accounting production data and generating corresponding deepened design drawings, so that the result is more reasonable, related specification requirements are met, and the efficiency is remarkably improved compared with that of a traditional manual working mode.
Step S6: and simulating the on-site carrying and installing process of the prefabricated part. More specifically, step S6 includes: simulating a prefabricated member carrying process and estimating an engineering construction period based on stacking point planning, path planning, loading sequence planning and corresponding manual or robot operation mode and efficiency parameters planned in the step S5; the step S5 is dynamically visualized, and the engineering progress and other engineering real-time data are synchronously displayed; and comparing the real-time positioning information of the laser radar with the data information of the robot by real-time feedback on a visual platform and a simulation process.
Simulating a prefabricated member carrying process and estimating an engineering construction period based on stacking point planning, path planning, loading sequence planning and corresponding manual or robot operation mode and efficiency parameters planned in the step S5.
And (3) dynamically and visually presenting all the steps in the step S5, and synchronously presenting the engineering progress and other engineering real-time data, so that the engineering progress can be visually seen, and the engineering progress management is facilitated.
For the carrying and installing robots, real-time feedback is performed on the visual platform and the simulation process through the information of laser radar real-time positioning and the data information of the robots, so that the engineering progress can be better compared and the operation data can be recorded, and the problem of feedback is solved.
The scheme not only has obvious improvement on the efficiency of the traditional operation mode, but also can lead the corresponding robot products to be used by the data output, for example, the result of a motion planning algorithm can be used for the transfer robot to finish the prefabricated member transportation operation, and the construction robot is energized.
Thus, the deepened design method of the fabricated prefabricated member provided by the embodiment of the invention is mainly characterized in that the information meeting the algorithm requirement can be rapidly obtained through optimized pretreatment workflow aiming at CAD construction drawings with larger differences of layout and drawing modes provided by different projects, so that the output result of the deepened design algorithm is instantaneously obtained; the efficiency of the traditional operation mode is remarkably improved, the data output of the system can guide site workers to construct, and corresponding robot products can be used, for example, the result of a motion planning algorithm can be used for a transfer robot to finish prefabricated member transportation operation, so that a construction robot is energized.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
Claims (10)
1. The deepening design method of the fabricated prefabricated part is characterized by comprising the following steps of:
step one: reading and primarily analyzing model and drawing data;
step two: carrying out deepening design on the target prefabricated member;
step three: automatically generating a deepened design drawing and a visualized model according to the deepened design data;
step four: carrying out statistics and optimization on prefabricated member production data;
Step five: planning site stacking points of prefabricated parts, planning a carrying and installing path and planning a transportation loading sequence;
Step six: and simulating the on-site carrying and installing process of the prefabricated part.
2. The method for deepening the design of the fabricated preform according to claim 1, wherein the first step specifically includes: and acquiring CAD files or/and BIM files, classifying and merging different professional file data, preprocessing a target model and a drawing so as to enable a program to identify, determine the geometric characteristics and attribute information of a target prefabricated member and the geometric characteristics and attribute information of other building components, and improving the geometric matching speed by using a KNN algorithm.
3. The method of deepening a fabricated preform according to claim 2, wherein step one further includes: and automatically acquiring detailed size and position information of the building model by a program for the CAD file or/and the BIM model file after preprocessing the unified format, and checking whether the acquired target prefabricated member wall body to be deeply designed meets the deep design condition.
4. A method for deepening a fabricated preform according to claim 3, wherein the second step specifically includes: and inputting standard size and non-standard size ranges of the prefabricated members, applying a double-layer embedded evolution algorithm according to the determined prefabricated member splitting rules and construction process requirements, constructing an adaptive value function, and optimizing a splitting result.
5. The method for deepening the design of the fabricated preform according to claim 4, wherein the third step specifically includes: generating prefabricated member CAD graph blocks or/and BIM model elements with adjustable parameters according to the prefabricated member information input in the second step; and (3) automatically drawing a deepened design CAD drawing and a BIM model which meet the production requirements of factories and are suitable for site construction according to the splitting result of the step two and corresponding prefabricated member information.
6. The method of deepening design of fabricated preforms according to any one of claims 3-5, wherein said step three comprises: and (3) according to the size and position information of the first step, generating a three-dimensional environment model for a subsequent planning algorithm and visual simulation except for the target prefabricated member wall.
7. The method for deepening the design of fabricated preforms according to any one of claims 1-5, characterized in that said step four specifically comprises: according to the principle of mounting the allowable error range and reducing the production cost, producing and uniformly cutting prefabricated members with similar modulus by adopting the same die; and marking the produced prefabricated member, and marking by spraying a bar code or/and RFID labeling.
8. The method for deepening the design of fabricated preforms according to any one of claims 1-5, characterized in that said step five specifically comprises: searching a reasonable area for stacking the prefabricated members, wherein the reasonable area is in a two-dimensional plane and a height range, the prefabricated members are allowed not to collide with the surrounding environment or/and at least one side of the reasonable area is reserved to enable workers or robots to move.
9. The method of deepening design of a fabricated preform according to claim 8, wherein the fifth step further comprises: the transportation and installation path planning plans an installation sequence according to the priority order, and after the installation sequence is acquired, the path from the transportation elevator to the stacking position and the movement planning from the stacking position to the installation position are carried out on the prefabricated member;
Wherein the priority order is as follows: the target installation positions of the prefabricated parts which are not installed are in an reachable state, the prefabricated parts in the same wall body are sequentially installed according to the space adjacent positions, the same wall body is installed from one side close to the barrier to the other side, and the whole installation sequence is installed according to the direction from a far stacking point to a position close to the stacking point.
10. The method of deepening the design of fabricated preforms according to claim 9, wherein said step six includes: simulating a prefabricated member carrying process and estimating a project period based on stacking point planning, path planning, loading sequence planning and corresponding manual or robot operation mode and efficiency parameters planned in the step five; dynamically and visually presenting the step in the step five, and synchronously presenting the engineering progress and other engineering real-time data; and comparing the real-time positioning information of the laser radar with the data information of the robot by real-time feedback on a visual platform and a simulation process.
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