CN115510543B - BIM-based box modular curtain wall design method and system - Google Patents
BIM-based box modular curtain wall design method and system Download PDFInfo
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Abstract
The application provides a BIM-based box modular curtain wall design method and system, which are applied to the technical field of data processing, wherein the method comprises the following steps: and constructing an initial BIM model by collecting design data of the target building. And obtaining curtain wall demand information of a user, and carrying out module division on the initial BIM model. The size measurement is performed by a size measuring device. And carrying out edge module compensation of the module division result by measuring the size data to obtain a compensation module division result. And collecting target building images to obtain a target building image set. And carrying out feature recognition on the target building set, and carrying out module identification of the compensation module division result according to the feature recognition result and the position identification to generate a curtain wall design assembly scheme of the target building. The curtain wall design in the prior art is due to the size difference in design, and the design scheme can not provide specific installation guidance according to the actual installation environment, so that the technical problems of mismatching of the actual installation effect and the design effect are solved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a BIM-based box modular curtain wall design method and system.
Background
BIM is the abbreviation of building information model, integrates engineering project related information through three-dimensional digital technology, and through three-dimensional stereogram show, each participant of engineering project can more intuitively acquire information of being convenient for. In the prior art, a designer designs a product through a given standard size during curtain wall design, however, a small difference may exist between the size adopted by the product design and the actual construction size in the actual construction environment, and the designer and the actual construction environment are disjointed, so that the design scheme lacks specific installation guidance, and the actual installation effect and the design effect are not matched.
Therefore, in the prior art, due to the size difference in the curtain wall design, the design scheme cannot provide specific installation guidance according to the actual installation environment, so that the technical problem of mismatching of the actual installation effect and the design effect is caused.
Disclosure of Invention
The application provides a BIM-based box modular curtain wall design method and system, which are used for solving the technical problems that in the prior art, the curtain wall design is not matched with the actual installation effect due to the size difference during the design, and the design scheme can not provide specific installation guidance according to the actual installation environment.
In view of the above problems, the application provides a BIM-based box modular curtain wall design method and system.
In a first aspect of the present application, there is provided a method for designing a modular curtain wall of a box based on BIM, the method being applied to a modular curtain wall designing system of a box, the modular curtain wall designing system of a box being communicatively connected to an image acquisition device and a sizing device, the method comprising: 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 carrying out module division on the initial BIM according to the curtain wall demand information to generate a module division result; performing size measurement of the target building by the size measurement device to obtain measurement size data; performing edge module compensation of the module division result according to 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 mark; performing feature recognition on the target building set, and performing module identification of the compensation module division result 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 dividing result with the module identifier.
In a second aspect of the present application, there is provided a BIM-based modular curtain wall design system for a box, the system being communicatively coupled to an image acquisition device, a sizing device, the system comprising: 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 building module is used for building an initial BIM model of the target building according to the design data; the module dividing 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 dimension data acquisition module is used for carrying out dimension measurement of the target building through the dimension measurement device to obtain measurement dimension data; the compensation dividing module is used for carrying out edge module compensation of the module dividing result according to the measured size data and obtaining a compensation module dividing result according to the edge module compensating result; the building image acquisition module is used for acquiring the 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 mark; the feature recognition module is used for carrying out feature recognition on the target building set and carrying out module identification of the compensation module division result according to the feature recognition 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 identifier.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method provided by the embodiment of the application collects the design data of the 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. 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. And performing size measurement of the target building by the size measurement device to obtain measurement size data. And carrying out edge module compensation of the module division result according to the measured size data, and obtaining a compensation module division result according to the edge module compensation result. And acquiring the 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. And carrying out feature recognition on the target building set, and carrying out module identification of the compensation module division result according to the feature recognition result and the position identification. And generating a curtain wall design assembly scheme of the target building based on the compensation module dividing result with the module identifier. 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 curtain wall design in the prior art is due to the size difference in design, and the design scheme can not provide specific installation guidance according to the actual installation environment, so that the technical problems of mismatching of the actual installation effect and the design effect are solved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow diagram of a method for designing a modular curtain wall of a tank based on BIM;
FIG. 2 is a schematic flow chart of performing edge module compensation according to the edge matching result and the measured dimension data in the BIM-based box modular curtain wall design method provided by the application;
FIG. 3 is a schematic flow chart of module identification according to second assembly constraint data in a BIM-based box modular curtain wall design method provided by the application;
fig. 4 is a schematic structural diagram of a modular curtain wall design system for a box based on BIM according to the present application.
Reference numerals illustrate: the system comprises a design data acquisition module 11, a model construction module 12, a module division module 13, a dimension data acquisition module 14, a compensation division module 15, a building image acquisition module 16, a feature identification module 17 and an assembly scheme generation module 18.
Detailed Description
The application provides a BIM-based box modular curtain wall design method and system, which are used for solving the technical problems that in the prior art, the curtain wall design is not matched with the actual installation effect due to the size difference during the design, and the design scheme can not provide specific installation guidance according to the actual installation environment.
The technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that the present application can realize, and not all of the contents of the present application.
Example 1
As shown in fig. 1, the present application provides a method for designing a modular curtain wall of a box based on BIM, the method is applied to a modular curtain wall designing system of a box, the modular curtain wall designing system of a box is in communication connection with an image acquisition device and a dimension measuring device, 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 carrying out 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, 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, demand information of the curtain wall of the user is obtained, such as demand information of the window position on the curtain wall, and the like, the initial BIM model 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 convenient to follow according to specific demands of different modules.
Step 400: performing size measurement of the target building by the size measurement device to obtain measurement size data;
step 500: performing edge module compensation of the module division result according to the measured size data, and obtaining a compensation module division result according to the edge module compensation result;
specifically, the dimension measurement of the target building is performed through the dimension measurement device, namely, the dimension of the actual curtain wall is measured, measured dimension data are obtained, and certain deviation exists between the design dimension and the actual dimension when the curtain wall is designed, so that the deviation needs to be compensated for in order to ensure the installation effect of the actual curtain wall. And then, carrying out edge module compensation of the module division result by measuring the size data, obtaining a compensation module division result according to the edge module compensation result, namely carrying out data compensation on the divided modules according to the deviation data, and carrying out compensation through a set compensation rule when carrying out deviation compensation on the modules.
The method provided by the embodiment of the application further comprises the following steps:
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: carrying out module distance identification of the module dividing result according to the locating point identification result to obtain a distance identification result;
step 530: and carrying out edge matching of the module according to the distance identification result, and carrying out edge module compensation according to the edge matching result and the measurement size data.
Specifically, the positioning point identification is performed according to curtain wall demand information and design data, wherein the positioning point is a demand positioning point contained in customer demand and the design data, such as a fixed demand point such as a specific position or a specific height of a window required by a customer in one side of a curtain wall, a specific position of an ornament and the like, the demand positioning point is identified, and a positioning point identification result is obtained. And then, carrying out module distance identification of the module dividing result according to the positioning point identification result, namely acquiring the distance between the positioning point identification result and other non-positioning point identification modules in the module dividing result, and acquiring the distance identification result. And carrying out edge matching of the modules according to the distance identification result, matching one or more compensation modules farthest from the positioning point identification result, and carrying out edge module compensation according to the edge matching result and the measured size data, so as to avoid influencing the installation quality of the positioning point identification result due to the fact that the compensation object is closer to the positioning point identification result.
The method provided by the embodiment of the application further comprises the following steps:
step 540: performing demand analysis according to the curtain wall demand information, and generating a polygonal edge approaching characteristic value based on a demand analysis result;
step 550: calculating module characteristic values of all modules in the module dividing result according to the polygonal edge adjacent characteristic values to obtain a module characteristic value calculating 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, demand analysis is performed according to curtain wall demand information, wherein the curtain wall demand information comprises priorities for adjusting all edges of the curtain wall, a multi-edge approach characteristic value is generated based on a demand analysis result, the higher the adjusted priorities are, the lower the generated multi-edge approach characteristic value is, and the corresponding multi-edge approach characteristic values are set through different priorities. Further, module feature value calculation of all modules in the module division result is performed according to the adjacent feature values of the polygonal edges, and the product of the adjacent feature values of the polygonal edges and the distances between the edges of the modules and the edges of the curtain walls is obtained when the module feature value calculation is performed, and each edge of the modules corresponds to two curtain wall edge distances, namely a left edge and a right edge. Each edge of each module is provided with two module characteristic value calculation results, and the module characteristic value calculation results are obtained. By acquiring the module characteristic value calculation result, the relation between the adjustment priority and the installation distance is balanced, and the problem that installation is not attractive when the adjustment is directly carried out 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, obtaining the sum calculated value of the module distance identification result and the module characteristic value calculation result as the distance characteristic values, and analyzing the distance characteristic values to obtain modules corresponding to a plurality of distance characteristic values which are ranked later in the distance characteristic values as the adjustment modules. And acquiring a distance characteristic value analysis result, acquiring an adjustment module according to the distance characteristic value analysis result, and acquiring an edge matching result.
The method provided by the embodiment of the application further comprises the following step 530:
step 531: acquiring a locating point identification feature set according to the locating point identification result;
step 532: performing feature matching on the target building image set based on the positioning point identification feature set to obtain a matching result;
step 533: carrying out matching constraint on the matching result according to the locating point identification result and the position identification to obtain a locating point matching result;
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 a positioning point identification result, wherein the positioning point identification feature set comprises a specific positioning module of a positioning point. And carrying out feature matching on the target building image set based on the positioning point identification feature set, and matching the images of the positioning point installation positions to obtain a matching result. And then, matching constraint of the matching result is carried out according to the positioning point identification result and the position identification, an actual module of the positioning point identification result is matched, a positioning point matching result is obtained, and first assembly constraint data is generated 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 mark;
step 700: performing feature recognition on the target building set, and performing module identification of the compensation module division result 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 dividing result with the module identifier.
Specifically, the image acquisition device is used for acquiring the image of the target building, a target building image set is obtained, and the target building image set contains the position identifier corresponding to the image. And carrying out feature recognition on the target building set, and recognizing 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 the specific processing mode can be acquired according to a defect-processing database. And acquiring a defect image through big data, and acquiring a processing mode corresponding to the defect image, wherein if cracks can be removed through putty coating, a constructed defect-processing database is acquired, and the database contains specific defect images and corresponding processing modes, so that the subsequent processing step identification of the feature recognition result is facilitated. Further, module identification of the compensation module division result is carried out according to the obtained feature identification result and the corresponding position identification, the modules with defects in the compensation module division result are identified, and the specific processing modes of the modules with the defects are identified. And finally, generating a curtain wall design assembly scheme of the target building based on the compensation module dividing result with the module identifier. 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.
As shown in fig. 3, the method step 700 provided in the embodiment of the present application further includes:
step 710: constructing an assembly constraint feature set through big data;
step 720: feature matching of the target building image set is carried out through the assembly constraint feature set, and constraint matching results are obtained;
step 730: generating second assembly constraint data according to the constraint matching result and the position identification, and carrying out 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. Feature matching of the target building image set is carried out through assembling the constraint feature set, corresponding constraint features are matched for the target building image set, and constraint matching results are obtained. 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 the defect-processing database, and finally, carrying out module identification according to the second assembly constraint data to complete identification of the module.
The method step 700 provided by the embodiment of the application further comprises:
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 through 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 an assembly constraint feature set are obtained, wherein the initial assembly constraint data are an initial processing mode corresponding to an initial defect in the assembly constraint feature set and specific consumption of the processing mode. Since the feature matching defect size in the acquired set of target building images may be different from the initial defect size, there is also a difference between the initial assembly constraint data and the acquired second assembly constraint data. Obtaining a matching similarity parameter by obtaining a constraint matching result, namely obtaining a similarity parameter of the size of a feature matching defect and the size of an initial defect in a target building image set, wherein the similarity parameter is obtained by the following formula: 1+ (feature matching defect size-initial defect size), and obtaining, wherein the similarity smaller than the initial defect size is smaller than 1, and the similarity larger than the initial defect size is larger than 1. Calculating the constraint data of the matching characteristics of the initial assembly constraint data and the matching similarity parameters to obtain a calculation result, namely calculating the product of the initial assembly constraint data and the matching similarity parameters to obtain the calculation result, wherein the calculation result is mainly calculated for the material consumption in the initial assembly constraint data, does not calculate in a specific processing mode, and generates second assembly constraint data according to the calculation result and the position identification to obtain the specific assembly constraint mode and the material consumption during assembly.
The method step 800 provided by the embodiment of the application further includes:
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 relationship;
step 820: correspondingly adding the association identifier set to a corresponding module in the compensation module dividing result;
step 830: and performing module assembly of the compensation module dividing result according to the association identifier set.
Specifically, an association identifier set of association modules is generated according to the division result of the compensation modules, wherein the association modules are modules adjacent to the assembly modules. Each group of association identifiers in the association identifier set has a unique corresponding relation, namely, each module in each group of association identifiers in the association identifier set has one corresponding relation, each group of association identifiers comprises the position distribution and the relation distribution of two adjacent modules, the relation distribution is specifically an adjacent relation, and the position distribution is specifically a distributed position, such as other positions at the upper part, the left part, the upper right part and the like. If the A module is adjacent to the B module, and the A module is positioned at the position, close to the edge of the right end of the B module, of 5 cm, the relation is embodied by a group of association marks between the A module and the B module. And correspondingly adding the association identifier set to a corresponding module in the compensation module dividing result. And finally, module assembly of the compensation module dividing result is carried out according to the association identifier set, so that assembly errors caused by disordered assembly sequence are avoided.
In summary, the method provided by the embodiment of the application constructs the initial BIM model by collecting the design data of the target building. And obtaining curtain wall demand information of a user, and carrying out module division on the initial BIM model. The size measurement is performed by a size measuring device. And carrying out edge module compensation of the module division result by measuring the size data to obtain a compensation module division result. And collecting target building images to obtain a target building image set. And carrying out feature recognition on the target building set, and carrying out module identification of the compensation module dividing result according to the feature recognition result and the position identification. And generating a curtain wall design assembly scheme of the target building based on the compensation module dividing result with the module identifier. 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 curtain wall design in the prior art is due to the size difference in design, and the design scheme can not provide specific installation guidance according to the actual installation environment, so that the technical problems of mismatching of the actual installation effect and the design effect are solved.
Example two
Based on the same inventive concept as the method for designing a modular curtain wall of a box based on BIM in the foregoing embodiments, as shown in fig. 4, the present application provides a modular curtain wall designing system of a box based on BIM, where the system is communicatively connected with an image acquisition device and a dimension measurement device, and the system includes:
a design data acquisition module 11, configured to acquire design data of a target building, where the design data includes design size information;
a model building module 12 for building an initial BIM model of the target building from 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 division result;
a dimension data acquisition module 14 for performing dimension measurement of the target building by the dimension measurement device to obtain measurement dimension data;
the compensation dividing module 15 is used for performing edge module compensation of the module dividing result according to the measured size data, and obtaining a compensation module dividing result according to the edge module compensating result;
a building image acquisition module 16, configured to acquire, by using the image acquisition device, an image of the target building, and obtain a target building image set, where the target building image set has a location identifier;
the feature recognition module 17 is used for performing feature recognition on the target building set, and performing module identification of the compensation module division result according to a feature recognition 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 division result of the compensation module 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;
carrying out module distance identification of the module dividing result according to the locating point identification result to obtain a distance identification result;
and carrying out edge matching of the module according to the distance identification result, and carrying out edge module compensation according to the edge matching result and the measurement 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 polygonal edge approaching characteristic value based on a demand analysis result;
calculating module characteristic values of all modules in the module dividing result according to the polygonal edge adjacent characteristic values to obtain a module characteristic value calculating 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 locating point identification feature set according to the locating point identification result;
performing feature matching on the target building image set based on the positioning point identification feature set to obtain a matching result;
carrying out matching constraint on the matching result according to the locating point identification result and the position identification to obtain a locating point matching result;
and generating first assembly constraint data according to the positioning point matching result.
Further, the feature recognition module 17 is further configured to:
constructing an assembly constraint feature set through big data;
feature matching of the target building image set is carried out through the assembly constraint feature set, and constraint matching results are obtained;
generating second assembly constraint data according to the constraint matching result and the position identification, and carrying out module identification according to the second assembly constraint data.
Further, the feature recognition 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 through 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 scheme generation 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 relationship;
correspondingly adding the association identifier set to a corresponding module in the compensation module dividing result;
and performing module assembly of the compensation module dividing result according to the association identifier set.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with the specified 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 modifications and variations to the present application without departing from the scope of the application, and the content thus obtained falls within the scope of protection of the present application.
Claims (7)
1. The method is applied to a box modular curtain wall design system, and the box modular curtain wall design system is in communication connection with an image acquisition device and a dimension measuring device, and 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 carrying out module division on the initial BIM according to the curtain wall demand information to generate a module division result;
performing size measurement of the target building by the size measurement device to obtain measurement size data;
performing edge module compensation of the module division result according to 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 mark;
performing feature recognition on the target building set, and performing module identification of the compensation module division result according to a feature recognition result and the position identification;
generating a curtain wall design assembly scheme of the target building based on the compensation module dividing result with the module identifier;
the method further comprises the steps of:
constructing an assembly constraint feature set through big data, wherein the assembly constraint feature set is a defect feature set existing in specific assembly;
feature matching of the target building image set is carried out through the assembly constraint feature set, and constraint matching results are obtained;
generating second assembly constraint data according to the constraint matching result and the position identification, and carrying out module identification according to the second assembly constraint data, wherein the second assembly constraint data is a corresponding defect processing mode in a defect-processing database.
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, wherein the positioning point identification is used for identifying a demand positioning point, and the demand positioning point is a specific position of a window or an ornament required by a customer in one side of the curtain wall;
carrying out module distance identification of the module dividing result according to the positioning point identification result to obtain a distance identification result, wherein the distance identification is the distance from the positioning point identification result to other non-positioning point identification modules in the module dividing result;
and carrying out edge matching of the module according to the distance identification result, and carrying out edge module compensation according to the edge matching result and the measurement 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, wherein the curtain wall demand information comprises priority levels for adjusting all edges of the curtain wall, and generating the multi-edge approaching characteristic value based on the demand analysis result, wherein the higher the adjusted priority level is, the lower the generated multi-edge approaching characteristic value is, and the corresponding multi-edge approaching characteristic value is set through different priority levels;
calculating module characteristic values of all modules in the module dividing result according to the polygonal edge adjacent characteristic values to obtain a module characteristic value calculating result;
and carrying out distance characteristic value analysis of the modules 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, wherein the module characteristic value calculation of all the modules in the module division result is carried out according to the multi-edge approach characteristic value, the module characteristic value calculation is carried out by multiplying the multi-edge approach characteristic value and the distance between the module edge and the curtain wall edge, each module edge corresponds to two curtain wall edge distances, namely a left edge and a right edge, each edge of each module has two module characteristic value calculation results, the module characteristic value calculation result is obtained, and the relation between the balance adjustment priority and the installation distance is balanced by obtaining the module characteristic value calculation result.
4. The method according to claim 2, wherein the method comprises:
acquiring a locating point identification feature set according to the locating point identification result;
performing feature matching on the target building image set based on the positioning point identification feature set to obtain a matching result;
carrying out matching constraint on the matching result according to the locating point identification result and the position identification to obtain a locating 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.
5. The method of claim 1, wherein the method comprises:
initial assembly constraint data of the assembly constraint feature set are obtained, wherein the initial assembly constraint data are initial processing modes corresponding to initial defects in the assembly constraint feature set and specific consumption of the processing modes;
obtaining a matching similarity parameter according to the constraint matching result;
calculating constraint data of the initial assembly constraint data and the matching similarity parameter matching characteristics to obtain a calculation result, wherein the calculation result is obtained by calculating the constraint data of the initial assembly constraint data and the matching similarity parameter matching characteristics, namely, the calculation result is obtained by carrying out product calculation on the initial assembly constraint data and the matching similarity parameter, and the calculation result is mainly calculated aiming at the material consumption in the initial assembly constraint data;
and generating the second assembly constraint data according to the calculation result and the position identification.
6. The method of claim 1, wherein the method comprises:
generating an association identifier set of an association module according to the dividing result of the compensation module, wherein each group of association identifiers in the association identifier set has a unique corresponding relationship, and the association module is a module adjacent to the assembly module;
correspondingly adding the association identifier set to a corresponding module in the compensation module dividing result;
and performing module assembly of the compensation module dividing result according to the association identifier set.
7. BIM-based box modular curtain wall design system, characterized in that, the system is connected with image acquisition device, size measurement device communication, the system includes:
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 building module is used for building an initial BIM model of the target building according to the design data;
the module dividing 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 dimension data acquisition module is used for carrying out dimension measurement of the target building through the dimension measurement device to obtain measurement dimension data;
the compensation dividing module is used for carrying out edge module compensation of the module dividing result according to the measured size data and obtaining a compensation module dividing result according to the edge module compensating result;
the building image acquisition module is used for acquiring the 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 mark;
the feature recognition module is used for carrying out feature recognition on the target building set, carrying out module identification of the compensation module division result according to the feature recognition result and the position identification, and constructing an assembly constraint feature set through big data, wherein the assembly constraint feature set is a defect feature set existing in specific assembly; feature matching of the target building image set is carried out through the assembly constraint feature set, and constraint matching results are obtained; generating second assembly constraint data according to the constraint matching result and the position identification, and carrying out module identification according to the second assembly constraint data, wherein the second assembly constraint data is a corresponding defect processing mode in a defect-processing database;
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 identifier.
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