CN115510543A - Box body modular curtain wall design method and system based on BIM - Google Patents

Box body modular curtain wall design method and system based on BIM Download PDF

Info

Publication number
CN115510543A
CN115510543A CN202211258562.7A CN202211258562A CN115510543A CN 115510543 A CN115510543 A CN 115510543A CN 202211258562 A CN202211258562 A CN 202211258562A CN 115510543 A CN115510543 A CN 115510543A
Authority
CN
China
Prior art keywords
module
result
identification
target building
design
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
Application number
CN202211258562.7A
Other languages
Chinese (zh)
Other versions
CN115510543B (en
Inventor
顾正浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Suming Decoration Co Ltd
Original Assignee
Suzhou Suming Decoration Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Suzhou Suming Decoration Co Ltd filed Critical Suzhou Suming Decoration Co Ltd
Priority to CN202211258562.7A priority Critical patent/CN115510543B/en
Publication of CN115510543A publication Critical patent/CN115510543A/en
Application granted granted Critical
Publication of CN115510543B publication Critical patent/CN115510543B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Theoretical Computer Science (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Architecture (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a BIM-based box modular curtain wall design method and system, which are applied to the technical field of data processing, and the method comprises the following steps: an initial BIM model is constructed by collecting design data of a target building. And obtaining curtain wall requirement information of a user, and carrying out module division on the initial BIM model. The measurement was performed by a size measuring apparatus. And performing edge module compensation on the module division result by measuring the size data to obtain a compensation module division result. And acquiring a target building image to obtain a target building image set. And performing characteristic recognition on the target building set, and performing module identification of the compensation module division result according to the characteristic recognition result and the position identification to generate a curtain wall design assembly scheme of the target building. The technical problem of among the prior art curtain design because the difference of size during the design, and the design can't provide specific installation according to the installation environment of reality and guide, cause installation effect and the unmatched of design effect of reality is solved.

Description

Box body modular curtain wall design method and system based on BIM
Technical Field
The invention relates to the technical field of data processing, in particular to a BIM-based box modular curtain wall design method and system.
Background
The BIM model is an abbreviation of a building information model, integrates related information of the engineering project through a three-dimensional digital technology, and is convenient for all participants of the engineering project to acquire information more intuitively through three-dimensional solid object diagram display. In the prior art, when designing a curtain wall, a designer designs a product according to a given standard size, however, in an actual construction environment, the size adopted by the product design and the actual construction size may have a small difference, and due to disjointed design schemes caused by the designer and the actual construction environment, specific installation guidance is lacked, so that the problem that the actual installation effect and the design effect are unmatched is caused.
Therefore, in the prior art, due to the difference of the sizes during design of the curtain wall, the design scheme cannot provide specific installation guidance according to the actual installation environment, and the technical problem that the actual installation effect and the design effect are not matched is caused.
Disclosure of Invention
The application provides a box modularization curtain wall design method and system based on BIM, which are used for solving the technical problems that in the prior art, due to the difference of the sizes during design of curtain walls, the design scheme can not provide specific installation guidance according to the actual installation environment, and the actual installation effect and the design effect are unmatched.
In view of the above problems, the present application provides a method and a system for designing a box modular curtain wall based on BIM.
In a first aspect of the present application, a method for designing a box modular curtain wall based on BIM is provided, the method is applied to a box modular curtain wall design system, the box modular curtain wall design system is in communication connection with an image acquisition device and a size determination device, and the method includes: collecting design data of a target building, wherein the design data comprises design size information; constructing an initial BIM model of the target building according to the design data; obtaining curtain wall demand information of a user, and performing module division on the initial BIM according to the curtain wall demand information to generate a module division result; measuring the size of the target building by the size measuring device to obtain measured size data; performing edge module compensation on the module division result through the measured size data, and obtaining a compensation module division result according to the edge module compensation result; acquiring an image of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set is provided with a position identifier; performing feature recognition on the target building set, and performing module identification of the division result of the compensation module according to a feature recognition result and the position identification; and generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification.
In a second aspect of the present application, a BIM-based modular curtain wall design system for a box is provided, the system is in communication connection with an image acquisition device and a size determination device, and the system comprises: the design data acquisition module is used for acquiring design data of a target building, wherein the design data comprises design size information; the model construction module is used for constructing an initial BIM model of the target building according to the design data; the module division module is used for obtaining curtain wall demand information of a user, carrying out module division on the initial BIM according to the curtain wall demand information and generating a module division result; the size data acquisition module is used for measuring the size of the target building through the size measuring device to obtain measured size data; the compensation dividing module is used for performing edge module compensation on the module dividing result through the measured size data and obtaining a compensation module dividing result according to the edge module compensation result; the building image acquisition module is used for acquiring images of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set is provided with a position identifier; the characteristic identification module is used for carrying out characteristic identification on the target building set and carrying out module identification on the division result of the compensation module according to a characteristic identification result and the position identification; and the assembly scheme generating module is used for generating a curtain wall design assembly scheme of the target building based on the division result of the compensation module with the module identification.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method provided by the embodiment of the application is realized by collecting design data of a target building, wherein the design data comprises design size information. And constructing an initial BIM model of the target building according to the design data. And obtaining curtain wall demand information of a user, and carrying out module division on the initial BIM according to the curtain wall demand information to generate a module division result. The dimension of the target building is measured by the dimension measuring device, and measured dimension data is obtained. And performing edge module compensation on the module division result through the measured size data, and obtaining a compensation module division result according to the edge module compensation result. And acquiring an image of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set has a position identifier. And performing characteristic recognition on the target building set, and performing module identification of the division result of the compensation module according to a characteristic recognition result and the position identification. And generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification. The fitting degree of the design scheme and the actual construction scene is improved, the curtain wall design assembly scheme is automatically generated, and the installation effect of the curtain wall design assembly is guaranteed. The technical problem of among the prior art curtain design because the difference of size during the design, and the design can't provide specific installation according to the installation environment of reality and guide, cause installation effect and the unmatched of design effect of reality is solved.
The above description is only an overview of the technical solutions of the present application, and the present application may be implemented in accordance with the content of the description so as to make the technical means of the present application more clearly understood, and the detailed description of the present application will be given below in order to make the above and other objects, features, and advantages of the present application more clearly understood.
Drawings
FIG. 1 is a schematic flow chart of a BIM-based box modular curtain wall design method provided by the present application;
FIG. 2 is a schematic flow chart of edge module compensation according to an edge matching result and measured dimension data in the BIM-based modular curtain wall design method for a box body provided by the present application;
fig. 3 is a schematic flowchart illustrating a process of performing module identification according to second assembly constraint data in the BIM-based modular curtain wall design method for a box body provided by the present application;
FIG. 4 is a schematic structural diagram of a BIM-based modular curtain wall design system for a box body.
Description of reference numerals: the system comprises a design data acquisition module 11, a model construction module 12, a module division module 13, a size data acquisition module 14, a compensation division module 15, a building image acquisition module 16, a feature recognition module 17 and an assembly scheme generation module 18.
Detailed Description
The application provides a box modularization curtain wall design method and system based on BIM, which are used for solving the technical problems that in the prior art, due to the difference of the sizes during design of curtain walls, the design scheme can not provide specific installation guidance according to the actual installation environment, and the actual installation effect and the design effect are unmatched.
The technical solution in the present application will be described clearly and completely with reference to the accompanying drawings. The embodiments described are only a part of the disclosure that can be realized by the present application, and not the entire disclosure of the present application.
Example one
As shown in fig. 1, the present application provides a method for designing a box modular curtain wall based on BIM, the method is applied to a box modular curtain wall design system, the box modular curtain wall design system is in communication connection with an image acquisition device and a size measurement device, and the method includes:
step 100: collecting design data of a target building, wherein the design data comprises design size information;
step 200: constructing an initial BIM model of the target building according to the design data;
step 300: obtaining curtain wall demand information of a user, and performing module division on the initial BIM according to the curtain wall demand information to generate a module division result;
specifically, the BIM model is an abbreviation of a building information model, integrates related information of engineering projects through a three-dimensional digital technology, and is displayed through a three-dimensional solid object diagram. By collecting design data of a target building, wherein the design data includes design dimension information such as length, width, and height dimensions of an internal structure or an external structure. And constructing an initial BIM model of the target building according to the acquired design data. At this point, the initial BIM model already contains the corresponding building design size data. Further, the demand information of the curtain wall of the user pair is obtained, such as the demand information of the position height of a window on the user demand curtain wall, the initial BIM model is subjected to module division according to the demand information, namely, the curtain wall is divided into a plurality of modules according to the demand information, each demand information corresponds to one module, a module division result is generated, and the corresponding processing mode is adopted according to the specific demands of different modules in the follow-up process.
Step 400: carrying out size measurement of the target building through the size measurement device to obtain measurement size data;
step 500: performing edge module compensation of the module division result through the measured size data, and obtaining a compensation module division result according to the edge module compensation result;
specifically, carry out the sizing determination of target building through the sizing apparatus, measure the size of actual curtain promptly, acquire survey size data, because when the curtain design, there is certain deviation in design size probably with actual size, in order to guarantee the installation effect of actual curtain, need compensate the deviation. And then, performing edge module compensation on the module division result by measuring the size data, obtaining a compensation module division result according to the edge module compensation result, namely performing data compensation on the divided module according to deviation data, and performing compensation through a set compensation rule when performing deviation compensation on the module.
The method steps 500 provided by the embodiment of the present application further include:
step 510: carrying out positioning point identification according to the curtain wall demand information and the design data to obtain a positioning point identification result;
step 520: identifying the module distance of the module division result according to the positioning point identification result to obtain a distance identification result;
step 530: and performing edge matching of the module according to the distance identification result, and performing edge module compensation according to the edge matching result and the measured size data.
Specifically, positioning point identification is carried out according to curtain wall requirement information and design data, wherein the positioning points are requirement positioning points contained in customer requirements and the design data, for example, fixed requirement points such as the specific position or specific height of a window required by a customer in a curtain wall and the specific position of an ornament identify the required positioning points, and positioning point identification results are obtained. And then, carrying out module distance identification on the module division result according to the positioning point identification result, namely obtaining the distance between the positioning point identification result and other non-positioning point identification modules in the module division result, and obtaining a distance identification result. And performing edge matching of the modules according to the distance identification result, matching one or more compensation modules which are farthest away from the positioning point identification result, and performing edge module compensation according to the edge matching result and the measured size data to avoid the influence on the installation quality of the positioning point identification result caused by the closer distance of the compensation object to the positioning point identification result.
The method steps 500 provided by the embodiment of the present application further include:
step 540: performing demand analysis according to the curtain wall demand information, and generating a multi-edge approaching characteristic value based on a demand analysis result;
step 550: calculating the module eigenvalue of all modules in the module division result according to the multi-edge adjacent eigenvalue to obtain a module eigenvalue calculation result;
step 560: and analyzing the distance characteristic value of the module according to the distance identification result and the module characteristic value calculation result, and obtaining the edge matching result according to the distance characteristic value analysis result.
Specifically, carry out the demand analysis according to curtain demand information, wherein curtain demand information includes the priority of adjusting each edge of curtain, and the characteristic value is close to the multilateral edge based on demand analysis result generation, and wherein the priority of adjustment is higher the multilateral edge that corresponds the generation closes to the characteristic value and is lower, sets up corresponding multilateral edge through different priorities and closes to the characteristic value. And further, module eigenvalue calculation of all modules in the module division result is carried out according to the multi-edge proximity eigenvalue, the module eigenvalue is obtained by multiplying the multi-edge proximity eigenvalue by the distance from the module edge to the curtain wall edge when the module eigenvalue calculation is carried out, and each module edge corresponds to two curtain wall edge distances, namely a left edge and a right edge. And each edge of each module has two module eigenvalue calculation results to obtain the module eigenvalue calculation result. By obtaining the module characteristic value calculation result, the relation between the adjustment priority and the installation distance is balanced, and the problem of unattractive installation caused by direct adjustment according to the adjustment priority is avoided. And finally, analyzing the distance characteristic values of the modules according to the distance identification result and the module characteristic value calculation result, acquiring the sum of the module distance identification result and the module characteristic value calculation result as the distance characteristic value, and analyzing the distance characteristic values to acquire the modules corresponding to a plurality of distance characteristic values which are ranked later in the distance characteristic values as an adjusting module. And obtaining a distance characteristic value analysis result, obtaining an adjusting module according to the distance characteristic value analysis result and obtaining an edge matching result.
The method steps 530 provided by the embodiment of the present application further include:
step 531: acquiring a positioning point identification feature set according to the positioning point identification result;
step 532: performing feature matching of the target building image set based on the positioning point identification feature set to obtain a matching result;
step 533: matching constraint of the matching result is carried out according to the positioning point identification result and the position identification, and a positioning point matching result is obtained;
step 534: and generating first assembly constraint data according to the positioning point matching result.
Specifically, a positioning point identification feature set is obtained according to the positioning point identification result, wherein the positioning point identification feature set comprises a specific positioning module of the positioning point. And performing feature matching of the target building image set based on the locating point identification feature set, and matching images of the locating point installation positions to obtain a matching result. And then, carrying out matching constraint on the matching result according to the positioning point identification result and the position identification, matching an actual module of the positioning point identification result to obtain a positioning point matching result, and generating first assembly constraint data according to the positioning point matching result, wherein the first assembly constraint data is used for constraining the actual installation position of the positioning point.
Step 600: acquiring an image of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set is provided with a position identifier;
step 700: performing feature recognition on the target building set, and performing module identification of a division result of the compensation module according to a feature recognition result and the position identification;
step 800: and generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification.
Specifically, the image acquisition device acquires an image of the target building to obtain a target building image set, wherein the target building image set includes a position identifier corresponding to the image. And performing feature identification on the target building set, and identifying defect features, such as crack defects, hole defects and the like, contained in each building image. When the defect exists, the defect needs to be correspondingly processed, wherein a specific processing mode can be obtained according to the defect-processing database. And acquiring a defect image through the big data, acquiring a processing mode corresponding to the defect image, and acquiring a constructed defect-processing database if cracks can be removed by smearing putty, wherein the database comprises a specific defect image and a corresponding processing mode, so that the subsequent processing step identification of the feature recognition result is facilitated. And further, according to the obtained feature recognition result and the corresponding position identification, carrying out module identification of the compensation module division result, identifying modules with defects in the compensation module division result, and identifying the specific processing mode of the modules with defects. And finally, generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification. The fitting degree of the design scheme and the actual construction scene is improved, the curtain wall design assembly scheme is automatically generated, and the installation effect of the curtain wall design assembly is guaranteed.
As shown in fig. 3, the method steps 700 provided by the embodiment of the present application further include:
step 710: constructing an assembly constraint feature set through big data;
step 720: performing feature matching of the target building image set through the assembly constraint feature set to obtain a constraint matching result;
step 730: and generating second assembly constraint data according to the constraint matching result and the position identifier, and performing module identification according to the second assembly constraint data.
Specifically, an assembly constraint feature set is constructed through big data, wherein the assembly constraint feature set is a defect feature set existing in specific assembly. And performing feature matching of the target building image set by assembling the constraint feature set, matching corresponding constraint features for the target building image set, and obtaining a constraint matching result. And generating second assembly constraint data according to the constraint matching result and the position identification, wherein the second assembly constraint data is a corresponding defect processing mode in a defect-processing database, and finally performing module identification according to the second assembly constraint data to finish the identification of the module.
The method 700 provided in the embodiment of the present application further includes:
step 740: obtaining initial assembly constraint data of the assembly constraint feature set;
step 750: obtaining a matching similarity parameter according to the constraint matching result;
step 760: calculating the initial assembly constraint data and the constraint data of the matching similarity parameter matching characteristics to obtain a calculation result;
step 770: and generating the second assembly constraint data according to the calculation result and the position identification.
Specifically, initial assembly constraint data of the assembly constraint feature set is obtained, wherein the initial assembly constraint data is an initial processing mode and a specific usage of the processing mode corresponding to an initial defect in the assembly constraint feature set. The initial assembly constraint data is different from the second assembly constraint data since the feature matching defect size in the acquired target architectural image set may not be the same as the initial defect size. Obtaining matching similarity parameters by obtaining a constraint matching result, namely obtaining similarity parameters of the size of the characteristic matching defect and the size of the initial defect in the target building image set, wherein the similarity parameters are obtained according to the formula: 1+ (feature matching defect size-initial defect size), obtaining, wherein the similarity of the defect size smaller than the initial defect size is smaller than 1, and the similarity of the defect size larger than the initial defect size is larger than 1. And calculating the initial assembly constraint data and the constraint data of the matching similarity parameter matching characteristics to obtain a calculation result, namely performing product calculation on the initial assembly constraint data and the matching similarity parameter to obtain a calculation result, wherein the calculation result is mainly calculated aiming at the material usage in the initial assembly constraint data without performing specific processing mode calculation, and second assembly constraint data is generated according to the calculation result and the position identifier to realize the acquisition of the specific assembly constraint mode and the material usage during assembly.
The method steps 800 provided by the embodiment of the present application further include:
step 810: generating an association identifier set of an association module according to the division result of the compensation module, wherein each group of association identifiers in the association identifier set has a unique corresponding relation;
step 820: correspondingly adding the association identifier set to a corresponding module in the division result of the compensation module;
step 830: and carrying out module assembly on the division result of the compensation module according to the association identifier set.
Specifically, an association identifier set of an association module is generated according to the division result of the compensation module, wherein the association module is a module adjacent to the assembly module. Each group of the associated identifications in the associated identification set has a unique corresponding relationship, that is, each module in each group of the associated identifications in the associated identification set has only one corresponding relationship, each group of the associated identifications includes position distribution and relationship distribution of two adjacent modules, the relationship distribution is specifically an adjacent relationship, and the position distribution is specifically a distributed position, such as other positions located at the upper part, the left part, the upper right part, and the like. If the module A is adjacent to the module B, and the module A is positioned at the upper right end of the module B and is 5 cm close to the edge of the right end of the module B, a group of association identifications between the module A and the module B embody the relationship. And correspondingly adding the association identifier set to a corresponding module in the division result of the compensation module. And finally, carrying out module assembly of the division result of the compensation module according to the association identification set, and avoiding assembly errors caused by disordered assembly sequences.
To sum up, the method provided by the embodiment of the present application constructs an initial BIM model by collecting design data of a target building. And obtaining curtain wall requirement information of a user, and performing module division on the initial BIM. The measurement was performed by a size measuring apparatus. And performing edge module compensation on the module division result by measuring the size data to obtain a compensation module division result. And acquiring a target building image to obtain a target building image set. And performing characteristic recognition on the target building set, and performing module identification of the compensation module division result according to the characteristic recognition result and the position identification. And generating a curtain wall design assembly scheme of the target building based on the division result of the compensation module with the module identification. The fitting degree of the design scheme and the actual construction scene is improved, the curtain wall design and assembly scheme is automatically generated, and the installation effect of curtain wall design and assembly is guaranteed. The technical problem of among the prior art curtain design because the difference of size during the design, and the design can't provide specific installation according to the installation environment of reality and guide, cause installation effect and the unmatched of design effect of reality is solved.
Example two
Based on the same inventive concept as the method for designing the box modular curtain wall based on the BIM in the previous embodiment, as shown in fig. 4, the present application provides a system for designing the box modular curtain wall based on the BIM, the system is connected with an image acquisition device and a dimension measurement device in a communication manner, and the system comprises:
a design data acquisition module 11, configured to acquire design data of a target building, where the design data includes design size information;
the model building module 12 is used for building an initial BIM model of the target building according to the design data;
the module dividing module 13 is used for obtaining curtain wall demand information of a user, carrying out module division on the initial BIM according to the curtain wall demand information and generating a module dividing result;
a size data acquisition module 14, configured to perform size measurement of the target building by using the size measurement device to obtain measurement size data;
the compensation dividing module 15 is used for performing edge module compensation on the module dividing result through the measured size data and obtaining a compensation module dividing result according to the edge module compensation result;
a building image acquisition module 16, configured to acquire an image of the target building through the image acquisition device to obtain a target building image set, where the target building image set has a location identifier;
the characteristic identification module 17 is used for carrying out characteristic identification on the target building set and carrying out module identification of the division result of the compensation module according to the characteristic identification result and the position identification;
and the assembly scheme generating module 18 is used for generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification.
Further, the compensation dividing module 15 is further configured to:
carrying out positioning point identification according to the curtain wall demand information and the design data to obtain a positioning point identification result;
identifying the module distance of the module division result according to the positioning point identification result to obtain a distance identification result;
and performing edge matching of the module according to the distance identification result, and performing edge module compensation according to the edge matching result and the measured size data.
Further, the compensation dividing module 15 is further configured to:
performing demand analysis according to the curtain wall demand information, and generating a multi-edge approaching characteristic value based on a demand analysis result;
calculating the module eigenvalue of all modules in the module division result according to the multi-edge adjacent eigenvalue to obtain a module eigenvalue calculation result;
and analyzing the distance characteristic value of the module according to the distance identification result and the module characteristic value calculation result, and obtaining the edge matching result according to the distance characteristic value analysis result.
Further, the compensation dividing module 15 is further configured to:
acquiring a positioning point identification feature set according to the positioning point identification result;
performing feature matching of the target building image set based on the positioning point identification feature set to obtain a matching result;
matching constraint of the matching result is carried out according to the positioning point identification result and the position identification, and a positioning point matching result is obtained;
and generating first assembly constraint data according to the positioning point matching result.
Further, the feature identification module 17 is further configured to:
constructing an assembly constraint feature set through big data;
performing feature matching of the target building image set through the assembly constraint feature set to obtain a constraint matching result;
and generating second assembly constraint data according to the constraint matching result and the position identifier, and performing module identification according to the second assembly constraint data.
Further, the feature identification module 17 is further configured to:
obtaining initial assembly constraint data of the assembly constraint feature set;
obtaining a matching similarity parameter according to the constraint matching result;
calculating the initial assembly constraint data and the constraint data of the matching similarity parameter matching characteristics to obtain a calculation result;
and generating the second assembly constraint data according to the calculation result and the position identification.
Further, the assembly plan generating module 18 is further configured to:
generating an association identifier set of an association module according to the division result of the compensation module, wherein each group of association identifiers in the association identifier set has a unique corresponding relation;
correspondingly adding the association identification set to a corresponding module in the division result of the compensation module;
and carrying out module assembly on the division result of the compensation module according to the association identifier set.
The second embodiment is used for executing the method as in the first embodiment, and both the execution principle and the execution basis can be obtained through the content recorded in the first embodiment, which is not described herein again. Although the present application has been described in connection with particular features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various changes and modifications to the present application without departing from the scope of the present application, and what is obtained in this way also belongs to the protection scope of the present application.

Claims (8)

1. A BIM-based box modular curtain wall design method is characterized in that the method is applied to a box modular curtain wall design system, the box modular curtain wall design system is in communication connection with an image acquisition device and a size measurement device, and the method comprises the following steps:
collecting design data of a target building, wherein the design data comprises design size information;
constructing an initial BIM model of the target building according to the design data;
obtaining curtain wall demand information of a user, and performing module division on the initial BIM according to the curtain wall demand information to generate a module division result;
carrying out size measurement of the target building through the size measurement device to obtain measurement size data;
performing edge module compensation of the module division result through the measured size data, and obtaining a compensation module division result according to the edge module compensation result;
acquiring an image of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set is provided with a position identifier;
performing feature recognition on the target building set, and performing module identification of the division result of the compensation module according to a feature recognition result and the position identification;
and generating a curtain wall design assembly scheme of the target building based on the compensation module division result with the module identification.
2. The method of claim 1, wherein the method further comprises:
carrying out positioning point identification according to the curtain wall demand information and the design data to obtain a positioning point identification result;
carrying out module distance identification on the module division result according to the positioning point identification result to obtain a distance identification result;
and performing edge matching of the module according to the distance identification result, and performing edge module compensation according to the edge matching result and the measured size data.
3. The method of claim 2, wherein the method further comprises:
performing demand analysis according to the curtain wall demand information, and generating a multi-edge approaching characteristic value based on a demand analysis result;
calculating the module eigenvalue of all modules in the module division result according to the multi-edge adjacent eigenvalue to obtain a module eigenvalue calculation result;
and analyzing the distance characteristic value of the module according to the distance identification result and the module characteristic value calculation result, and obtaining the edge matching result according to the distance characteristic value analysis result.
4. The method of claim 2, wherein the method comprises:
acquiring a positioning point identification feature set according to the positioning point identification result;
performing feature matching of the target building image set based on the positioning point identification feature set to obtain a matching result;
matching constraint of the matching result is carried out according to the positioning point identification result and the position identification, and a positioning point matching result is obtained;
and generating first assembly constraint data according to the positioning point matching result.
5. The method of claim 1, wherein the method comprises:
constructing an assembly constraint feature set through big data;
performing feature matching of the target building image set through the assembly constraint feature set to obtain a constraint matching result;
and generating second assembly constraint data according to the constraint matching result and the position identification, and performing module identification according to the second assembly constraint data.
6. The method of claim 5, wherein the method comprises:
obtaining initial assembly constraint data of the assembly constraint feature set;
obtaining a matching similarity parameter according to the constraint matching result;
calculating the initial assembly constraint data and the constraint data of the matching similarity parameter matching characteristics to obtain a calculation result;
and generating the second assembly constraint data according to the calculation result and the position identification.
7. The method of claim 1, wherein the method comprises:
generating an association identifier set of an association module according to the division result of the compensation module, wherein each group of association identifiers in the association identifier set has a unique corresponding relation;
correspondingly adding the association identifier set to a corresponding module in the division result of the compensation module;
and carrying out module assembly on the division result of the compensation module according to the association identifier set.
8. The utility model provides a box modularization curtain design system based on BIM which characterized in that, the system and image acquisition device, sizing apparatus communication connection, the system includes:
the system comprises a design data acquisition module, a design data processing module and a design data processing module, wherein the design data acquisition module is used for acquiring design data of a target building, and the design data comprises design size information;
the model building module is used for building an initial BIM model of the target building according to the design data;
the module division module is used for obtaining curtain wall demand information of a user, carrying out module division on the initial BIM according to the curtain wall demand information and generating a module division result;
the size data acquisition module is used for measuring the size of the target building through the size measuring device to obtain measured size data;
the compensation division module is used for performing edge module compensation on the module division result through the measured size data and obtaining a compensation module division result according to the edge module compensation result;
the building image acquisition module is used for acquiring images of the target building through the image acquisition device to obtain a target building image set, wherein the target building image set is provided with a position identifier;
the characteristic identification module is used for carrying out characteristic identification on the target building set and carrying out module identification on the division result of the compensation module according to a characteristic identification result and the position identification;
and the assembly scheme generating module is used for generating a curtain wall design assembly scheme of the target building based on the division result of the compensation module with the module identification.
CN202211258562.7A 2022-10-14 2022-10-14 BIM-based box modular curtain wall design method and system Active CN115510543B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211258562.7A CN115510543B (en) 2022-10-14 2022-10-14 BIM-based box modular curtain wall design method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211258562.7A CN115510543B (en) 2022-10-14 2022-10-14 BIM-based box modular curtain wall design method and system

Publications (2)

Publication Number Publication Date
CN115510543A true CN115510543A (en) 2022-12-23
CN115510543B CN115510543B (en) 2023-08-15

Family

ID=84509722

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211258562.7A Active CN115510543B (en) 2022-10-14 2022-10-14 BIM-based box modular curtain wall design method and system

Country Status (1)

Country Link
CN (1) CN115510543B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115795634A (en) * 2023-02-08 2023-03-14 万得福实业集团有限公司 Intelligent manufacturing method and system of energy-saving decorative ceiling
CN116838114A (en) * 2023-07-06 2023-10-03 同创华建集团有限公司 Steel construction and curtain intelligent monitoring system based on data analysis

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104102765A (en) * 2014-06-23 2014-10-15 金刚幕墙集团有限公司 BIM (Building Information Modeling)-based curtain wall parametrization design method
CN112347677A (en) * 2020-11-10 2021-02-09 中铁十四局集团建筑工程有限公司 Assembly type curtain wall integral lifting installation construction method based on BIM model construction technology support
CN112633657A (en) * 2020-12-16 2021-04-09 中冶建筑研究总院有限公司 Construction quality management method, device, equipment and storage medium
CN113377880A (en) * 2021-05-14 2021-09-10 华仁建设集团有限公司 Building model automatic matching method and system based on BIM
CN113435757A (en) * 2021-06-30 2021-09-24 中建华帆建筑设计院有限公司 BIM-based building masonry design and construction method
CN113642088A (en) * 2021-10-13 2021-11-12 北京天辰信科技有限公司 Method for feeding back construction progress information and displaying deviation of BIM (building information modeling) model in real time
CN114638658A (en) * 2022-05-07 2022-06-17 广东飞腾工程咨询有限公司 Engineering cost method and system based on BIM technical data sharing
CN115019472A (en) * 2022-06-28 2022-09-06 山东水利职业学院 Detection and early warning method and system for high-risk behaviors in building construction

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104102765A (en) * 2014-06-23 2014-10-15 金刚幕墙集团有限公司 BIM (Building Information Modeling)-based curtain wall parametrization design method
CN112347677A (en) * 2020-11-10 2021-02-09 中铁十四局集团建筑工程有限公司 Assembly type curtain wall integral lifting installation construction method based on BIM model construction technology support
CN112633657A (en) * 2020-12-16 2021-04-09 中冶建筑研究总院有限公司 Construction quality management method, device, equipment and storage medium
CN113377880A (en) * 2021-05-14 2021-09-10 华仁建设集团有限公司 Building model automatic matching method and system based on BIM
CN113435757A (en) * 2021-06-30 2021-09-24 中建华帆建筑设计院有限公司 BIM-based building masonry design and construction method
CN113642088A (en) * 2021-10-13 2021-11-12 北京天辰信科技有限公司 Method for feeding back construction progress information and displaying deviation of BIM (building information modeling) model in real time
CN114638658A (en) * 2022-05-07 2022-06-17 广东飞腾工程咨询有限公司 Engineering cost method and system based on BIM technical data sharing
CN115019472A (en) * 2022-06-28 2022-09-06 山东水利职业学院 Detection and early warning method and system for high-risk behaviors in building construction

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115795634A (en) * 2023-02-08 2023-03-14 万得福实业集团有限公司 Intelligent manufacturing method and system of energy-saving decorative ceiling
CN116838114A (en) * 2023-07-06 2023-10-03 同创华建集团有限公司 Steel construction and curtain intelligent monitoring system based on data analysis
CN116838114B (en) * 2023-07-06 2024-01-23 同创华建集团有限公司 Steel construction and curtain intelligent monitoring system based on data analysis

Also Published As

Publication number Publication date
CN115510543B (en) 2023-08-15

Similar Documents

Publication Publication Date Title
CN115510543A (en) Box body modular curtain wall design method and system based on BIM
CN102135417B (en) Full-automatic three-dimension characteristic extracting method
CN111709074A (en) Construction method for intelligently controlling large-space special-shaped curved surface based on BIM technology
CN109685886A (en) A kind of distribution three-dimensional scenic modeling method based on mixed reality technology
CN110826549A (en) Inspection robot instrument image identification method and system based on computer vision
CN110220476A (en) A kind of automatic method for fast measuring of aviation part based on 3 D laser scanning
CN109218524A (en) The cell phone application and method that house measurement generates floor plan are carried out based on video recording of taking pictures
CN105865335A (en) Stator bar sectional dimension detection system based on machine vision
CN109990703A (en) A kind of size detecting method and system of prefabricated components
CN111208526B (en) Multi-unmanned aerial vehicle cooperative positioning method based on laser radar and positioning vector matching
CN107167088B (en) The measurement method and device of glass deformation amount
CN115728803A (en) System and method for continuously positioning urban driving vehicle
CN112665535A (en) Method for measuring wall surface flatness
CN116386373A (en) Vehicle positioning method and device, storage medium and electronic equipment
CN116150855A (en) Building component assembling analysis method and system based on point cloud wire frame constraint
CN116562590A (en) Bridge construction and operation maintenance method, system, equipment and medium
CN116381726A (en) Unmanned aerial vehicle laser point cloud precision self-evaluation method based on data
CN116068535A (en) Multi-laser radar external parameter self-calibration method, system, terminal equipment and storage medium
CN114577141A (en) Method for optimizing surface measurement of curved surface template based on three-dimensional laser scanning technology
CN109493316A (en) Cartoning sealing machine cigarette packet based on similarity analysis and feature incremental learning lacks an intelligent detecting method
CN115294045A (en) Method, system, device, storage medium and application for obtaining improved machining allowance
CN107967714A (en) A kind of method that forest canopy density is automatically extracted by unmanned plane digital elevation model
CN114066422A (en) BIM-based project construction progress plan management system
CN114594467A (en) Course angle determining method and device, electronic equipment and storage medium
CN113190904A (en) Integrated data acquisition and butt-joint order placing system for factory production based on point cloud measurement

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
GR01 Patent grant