CN113032890B - Building model generation method and device - Google Patents
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Abstract
The application provides a method and a device for generating a building model, wherein the method comprises the following steps: acquiring characteristic data of building components in the initial building model; classifying the plurality of building elements according to the characteristic data; determining actual reinforcing steel bars corresponding to each building component in the same classification; sequencing a plurality of building components in the same classification according to the actual distribution steel bars and a preset grouping index; grouping a plurality of building components in the same category according to actual distribution steel bars; calculating a grouping evaluation index score according to the grouping result; adjusting the grouping result according to the grouping evaluation index score and the sorting result; setting a number for each group in the grouping result to establish a mapping relation between the number and the building elements; and generating a target building model according to the mapping relation and the initial building model. The building model generation method can reasonably group building components, so that the generated building model meets the requirements of design regularity and construction convenience.
Description
Technical Field
The application relates to the technical field of architectural design, in particular to a method and a device for generating an architectural model.
Background
The merging and grouping of building components is an important work content in the detailed design stage of building engineering, and aims to group components with the same or similar attributes into a group and name the components by adopting uniform name numbers. Too many groups result in poor design regularity, which is not beneficial to the subsequent processes of material statistics, construction organization and the like. Therefore, how to reasonably group building components to generate a building model beneficial to subsequent material statistics and construction organization becomes an urgent problem to be solved by the industry.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, a first objective of the present application is to provide a method for generating a building model to achieve reasonable grouping of building elements, so that the generated building model meets the requirements of design regularity and construction convenience.
A second object of the present application is to provide an apparatus for generating a building model.
A third object of the present application is to provide an electronic device.
A fourth object of the present application is to propose a computer readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present application provides a method for generating a building model, including: acquiring characteristic data of building components in the initial building model; classifying a plurality of said building elements according to said characteristic data; determining actual reinforcing steel bars corresponding to each building component in the same classification; sequencing a plurality of building components in the same classification according to the actual distribution steel bars and a preset grouping index; grouping a plurality of the building components in the same category according to the actual distribution steel bars; calculating grouping evaluation index scores according to grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score; adjusting the grouping result according to the grouping evaluation index score and the sorting result; setting a number for each group in the grouping result to establish a mapping relation between the number and the corresponding building element; and generating a target building model according to the mapping relation and the initial building model, wherein the building components in the target building model are marked with the corresponding numbers.
The method for generating the building model provided by the embodiment of the application classifies a plurality of building components according to the characteristic data of the building components in the initial building model, determines the actual distribution steel bars corresponding to each building component in the same classification, a plurality of building components in the same category are sorted and grouped according to the actual steel bars and the preset grouping indexes, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score, adjusting the grouping result according to the grouping evaluation index score and the sorting result, setting a number for each group in the grouping result to establish a mapping relation between the numbers and the corresponding building elements, and generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers. The method comprises the steps of determining actual reinforcing steel bars corresponding to all building components in the same classification, sorting and primarily grouping the actual reinforcing steel bars according to the actual reinforcing steel bars, and adjusting grouping results according to grouping evaluation index scores, wherein the grouping evaluation index scores can be preset grouping indexes, such as design regularity, construction convenience and the like, and can include reinforcing steel bar quantity factor evaluation coefficient scores and regularity index scores, so that the building components can be reasonably grouped, and further a target building model generated based on numbers corresponding to the grouping results can meet the requirements of design regularity and construction convenience.
According to an embodiment of the application, the sorting the building elements in the same category according to the actual distribution steel bars and the preset grouping indexes comprises: calculating a grouping index score of each building element in the same classification according to the actual distribution steel bars and the grouping indexes; ordering the plurality of building elements within the same category according to the grouping index score.
According to an embodiment of the application, said grouping a plurality of said building elements within the same category according to said actual distribution reinforcement comprises: and determining the building elements with the same actual reinforced bars as a group.
According to an embodiment of the present application, the calculating a grouping evaluation index score according to the grouping result includes: and calculating the evaluation coefficient score of the reinforcing steel bar quantity factors in the same group, wherein the evaluation coefficient score of the reinforcing steel bar quantity factors is the ratio of the area of the actual reinforcing steel bar to the area of the calculated reinforcing steel bar.
According to an embodiment of the present application, the calculating a grouping evaluation index score according to the grouping result includes: and calculating the regularity index score according to the grouping result, wherein the regularity index score is the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number.
According to an embodiment of the present application, the adjusting the grouping result according to the grouping evaluation index score and the sorting result includes: if the grouping evaluation index score is not within a preset grouping score interval, adjusting the grouping result according to a sorting result; and if the grouping evaluation index score is within a preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
According to an embodiment of the application, the property data comprises geometrical property data.
According to an embodiment of the application, the characteristic data further comprises one or more of the following data: concrete grade, earthquake-resistance grade and hinge properties.
To achieve the above object, a second aspect of the present application provides an apparatus for generating a building model, including: the acquisition module is used for acquiring characteristic data of the building components in the initial building model; a classification module for classifying the plurality of building elements according to the characteristic data; the determining module is used for determining actual distribution steel bars corresponding to each building component in the same classification; the sorting module is used for sorting the plurality of building components in the same classification according to the actual distribution steel bars and a preset grouping index; the grouping module is used for grouping a plurality of building components in the same classification according to the actual distribution steel bars; the calculation module is used for calculating grouping evaluation index scores according to grouping results, wherein the grouping evaluation index scores comprise reinforcement quantity factor evaluation coefficient scores and regularity index scores; the adjusting module is used for adjusting the grouping result according to the grouping evaluation index score and the sorting result; the setting module is used for setting a number for each group in the grouping result so as to establish a mapping relation between the number and the corresponding building component; and the generating module is used for generating a target building model according to the mapping relation and the initial building model, and the building components in the target building model are marked with the corresponding numbers.
The device for generating the building model provided by the embodiment of the application classifies a plurality of building components according to the characteristic data of the building components in the initial building model, determines the actual distribution steel bars corresponding to each building component in the same classification, a plurality of building components in the same category are sorted and grouped according to the actual steel bars and the preset grouping indexes, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score, adjusting the grouping result according to the grouping evaluation index score and the sorting result, setting a number for each group in the grouping result to establish a mapping relation between the numbers and the corresponding building elements, and generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers. The method comprises the steps of determining actual reinforcing steel bars corresponding to all building components in the same classification, sorting and primarily grouping the actual reinforcing steel bars according to the actual reinforcing steel bars, and adjusting grouping results according to grouping evaluation index scores, wherein the grouping evaluation index scores can be preset grouping indexes, such as design regularity, construction convenience and the like, and can include reinforcing steel bar quantity factor evaluation coefficient scores and regularity index scores, so that the building components can be reasonably grouped, and further a target building model generated based on numbers corresponding to the grouping results can meet the requirements of design regularity and construction convenience.
According to an embodiment of the present application, the sorting module is specifically configured to: calculating a grouping index score of each building element in the same classification according to the actual distribution steel bars and the grouping indexes; ordering the plurality of building elements within the same category according to the grouping index score.
According to an embodiment of the present application, the grouping module is specifically configured to: and determining the building elements with the same actual reinforced bars as a group.
According to an embodiment of the present application, the calculation module is specifically configured to: and calculating the evaluation coefficient score of the reinforcing steel bar quantity factors in the same group, wherein the evaluation coefficient score of the reinforcing steel bar quantity factors is the ratio of the area of the actual reinforcing steel bar to the area of the calculated reinforcing steel bar.
According to an embodiment of the present application, the calculation module is specifically configured to: and calculating the regularity index score according to the grouping result, wherein the regularity index score is the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number.
According to an embodiment of the present application, the adjusting module is specifically configured to: if the grouping evaluation index score is not within a preset grouping score interval, adjusting the grouping result according to a sorting result; and if the grouping evaluation index score is within a preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
According to an embodiment of the application, the property data comprises geometrical property data.
According to an embodiment of the application, the characteristic data further comprises one or more of the following data: concrete grade, earthquake-resistance grade and hinge properties.
To achieve the above object, a third aspect of the present application provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method for generating a building model as described in the embodiments of the first aspect when executing the program.
To achieve the above object, a fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for generating a building model according to the first aspect of the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a flow diagram of a method of generating a building model according to one embodiment of the present application;
FIG. 2 is a schematic flow diagram of a method of generating a building model according to another embodiment of the present application;
FIG. 3 is a flow diagram of a method of generating a building model according to another embodiment of the present application;
FIG. 4 is a schematic diagram of an apparatus for generating a building model according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of an electronic device according to one embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The following describes a method and an apparatus for generating a building model according to an embodiment of the present application with reference to the drawings.
FIG. 1 is a flow diagram of a method of generating a building model according to one embodiment of the present application. As shown in fig. 1, the method for generating a building model according to the embodiment of the present application may specifically include the following steps:
s101, acquiring characteristic data of the building components in the initial building model.
Specifically, the execution subject of the building model generation method according to the embodiment of the present application may be the building model generation apparatus provided in the embodiment of the present application, and the building model generation apparatus may be a hardware device having a data information processing capability and/or software necessary for driving the hardware device to operate. Alternatively, the execution body may include a workstation, a server, a computer, a user terminal, and other devices. The user terminal includes, but is not limited to, a mobile phone, a computer, an intelligent voice interaction device, an intelligent household appliance, a vehicle-mounted terminal, and the like.
In the embodiment of the present application, characteristic data of each building element in a plurality of building elements of an initial building model is obtained, where the initial building model is a building model to be classified, grouped and numbered according to the embodiment of the present application, and the characteristic data may specifically include geometric feature data, and may further include other significantly different characteristic data that needs to be considered in design, and may specifically include, but is not limited to, one or more of the following data: concrete grade, earthquake-resistant grade, hinge property and the like. Taking a beam as an example, the geometric characteristics comprise the type of the beam, the shape and the size of the section, the span, the support and the like; other characteristics that may be considered in design include beam concrete grade, seismic grade, beam-end hinge properties, etc.
S102, classifying the plurality of building components according to the characteristic data.
Specifically, the plurality of building elements are classified according to the characteristic data of each of the plurality of building elements acquired in step S101, and a classification result is obtained. Building components with completely same characteristic data are classified into the same category (or type), and any building component with different characteristic data is not in the same category, so that the interference caused by the fact that building components with different characteristic data adopt the same number is fundamentally avoided (the building components with the same number and the same attribute are mistakenly considered). And the members of different classifications are respectively subjected to subsequent reinforcement merging grouping and other operations.
S103, determining the actual distribution steel bars corresponding to each building component in the same classification.
Specifically, the reinforcement design may be performed on the building elements in the same category determined in step S102 one by one according to the calculation of the reinforcement area, the construction specification, and the like, to generate the actual reinforcement corresponding to each building element, which may specifically include the actual reinforcement area, the actual reinforcement number, the actual reinforcement diameter, and the like. Taking a beam as an example, the longitudinal bar selection method provides two methods of program automatic bar selection (actual bar selection is determined according to calculated bar distribution area, bar diameter and the minimum/maximum number of single-row bars) and user-defined bar selection (a user customizes a bar selection library according to the design habit through beam section size, stirrup limb number and calculated area in advance, and actual bar selection is determined by directly looking up a table from the user-defined bar selection library during program bar selection). The upper longitudinal rib selection needs to consider the determination of the through long rib, the communication of the two sides of the support and the like.
And S104, sequencing the plurality of building components in the same classification according to the actual distribution steel bars and the preset grouping indexes.
Specifically, the grouping index may be preset, and the plurality of building elements in the same category may be sorted according to the preset grouping index of the actual reinforcing steel bar of each building element according to the actual reinforcing steel bar corresponding to each building element in the same category determined in step S103, so as to obtain a sorting result. The grouping index may specifically include, but is not limited to, actual reinforcement area, actual reinforcement number, actual reinforcement diameter, regularity index, construction convenience, and operability. The grouping index of the building component is better, wherein the number of the actual distribution steel bars is small, the diameter of the actual distribution steel bars is close to the optimal diameter, and the construction is convenient.
And S105, grouping a plurality of building components in the same category according to the actual distribution steel bars.
Specifically, building components with the same actual reinforcing steel bars are determined as a group, and preliminary grouping is realized to obtain a grouping result. It should be noted here that the positions of the building components with the same actual reinforcing bars in the sequencing result determined in step S104 are the same.
And S106, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score.
Specifically, the grouping result is evaluated based on the grouping result determined in step S105. Specifically, a grouping evaluation index score, such as a reinforcement quantity factor evaluation coefficient score α and a regularity index score β, may be calculated according to the grouping result.
And S107, adjusting the grouping result according to the grouping evaluation index score and the sorting result.
Specifically, the grouping result determined in step S105 is adjusted according to the grouping evaluation index score calculated in step S106, and when the grouping result is adjusted, the grouping adjustment is performed according to the sorting result determined in step S104, that is, only the building components with consecutive sorting positions can be divided into one group.
And S108, setting a number for each group in the grouping result so as to establish a mapping relation between the numbers and the corresponding building components.
Specifically, a unique number is set for each group according to the final grouping result determined after adjustment, namely, a mapping relation between the number and each building component in the corresponding group is established.
And S109, generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers.
Specifically, the building elements in the initial building model are numbered according to the mapping relationship between the numbers determined in step S108 and the building elements in the corresponding group, so as to obtain the target building model in which the building elements are numbered with the corresponding numbers.
It should be noted that, after a unique number is set for each group, a mapping relationship between the number and the characteristic data and the actual reinforcing steel bars corresponding to each building element in the corresponding group can be established, so that a subsequent constructor can conveniently find the characteristic data and the actual reinforcing steel bars corresponding to each building element according to the number of each building element in the target building model through the mapping relationship, and construction is facilitated.
In summary, the method for generating a building model according to the embodiment of the present application classifies a plurality of building elements according to the characteristic data of the building elements in the initial building model, determines the actual reinforcing steel bars corresponding to each building element in the same classification, a plurality of building components in the same category are sorted and grouped according to the actual steel bars and the preset grouping indexes, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score, adjusting the grouping result according to the grouping evaluation index score and the sorting result, setting a number for each group in the grouping result to establish a mapping relation between the numbers and the corresponding building elements, and generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers. The method comprises the steps of determining actual reinforcing steel bars corresponding to all building components in the same classification, sorting and primarily grouping the actual reinforcing steel bars according to the actual reinforcing steel bars, and adjusting grouping results according to grouping evaluation index scores, wherein the grouping evaluation index scores can be preset grouping indexes, such as design regularity, construction convenience and the like, and can include reinforcing steel bar quantity factor evaluation coefficient scores and regularity index scores, so that the building components can be reasonably grouped, and further a target building model generated based on numbers corresponding to the grouping results can meet the requirements of design regularity and construction convenience.
Fig. 2 is a flow chart diagram of a method of generating a building model according to another embodiment of the present application. As shown in fig. 2, based on the embodiment shown in fig. 1, the method for generating a building model according to the embodiment of the present application may specifically include the following steps:
s201, acquiring characteristic data of the building components in the initial building model.
S202, classifying the plurality of building components according to the characteristic data.
And S203, determining the actual distribution steel bars corresponding to each building component in the same classification.
Specifically, steps S201 to S203 in this embodiment are the same as steps S101 to S103 in the above embodiment, and are not described again here.
Step S104 "sorting a plurality of building elements in the same category according to the actual distribution steel bars and the preset grouping index" in the above embodiment may specifically include the following steps S204 to S205.
And S204, calculating the grouping index score of each building component in the same classification according to the actual distribution steel bars and the grouping indexes.
Specifically, the grouping index score of each building element is calculated according to the grouping index of the actual reinforcing steel bars of each building element according to the actual reinforcing steel bars of each building element in the same classification determined in step S203. The grouping index may specifically include, but is not limited to, actual reinforcement area, actual reinforcement number, actual reinforcement diameter, regularity index, construction convenience, and operability. The grouping index of the building component with small number of the actual reinforcing steel bars, the diameter of the actual reinforcing steel bars close to the optimal diameter and convenient construction is high in score.
S205, a plurality of building elements in the same classification are sorted according to the grouping index scores.
Specifically, the grouping index scores of each building element in the same category calculated in step S204 are sequentially changed from high to low or from low to high. And sequencing a plurality of building components in the same classification to obtain a sequencing result.
And S206, grouping a plurality of building components in the same classification according to the actual distribution steel bars.
And S207, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score.
And S208, adjusting the grouping result according to the grouping evaluation index score and the sorting result.
S209, a number is set for each group in the grouping result to establish a mapping relationship between the numbers and the corresponding building elements.
And S210, generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers.
Specifically, steps S206 to S210 in this embodiment are the same as steps S105 to S109 in the above embodiment, and are not described again here.
Further, the step S207 of "calculating the grouping evaluation index score according to the grouping result" may specifically include the following steps:
calculating the evaluation coefficient score alpha of the reinforcement quantity factor in the same group, wherein the evaluation coefficient score alpha of the reinforcement quantity factor is the area As of the actual reinforcement and the area As of the calculated reinforcementcalThe ratio of (a) to (b).
Wherein, alpha is more than or equal to 1.0 to satisfy the bearing capacity requirement, the closer alpha is to 1.0, the more economical the device is, and the larger deviation is 1.0, the more waste the device is.
Further, the step S207 of "calculating the grouping evaluation index score according to the grouping result" may specifically include the following steps:
and calculating a regularity index score beta according to the grouping result, wherein the regularity index score beta is the ratio of the number n of the building components with the same characteristic data in the same classification to the grouping number m.
The number m of groups is equal to 1, that is, all the building elements in the same category are divided into the same group, which means that the regularity is good, and β =1, that is, all the building elements in the same category having the same characteristic data are not divided into the same group, which means that each building element in the same category is one group, which means that the regularity is poor.
Further, as shown in fig. 3, the "adjusting the grouping result according to the grouping evaluation index score and the sorting result" in the step S208 may specifically include the following steps:
and S301, if the grouping evaluation index score is not within the preset grouping score interval, adjusting the grouping result according to the sorting result.
Specifically, a grouping evaluation interval corresponding to the grouping evaluation index score may be preset, and the grouping evaluation interval may be input by a user in advance, or may be built in a generation device of the building model, which is not limited in this application. If the grouping evaluation index score calculated in step S207 is not within the corresponding preset grouping score interval, the current grouping result is considered to be not satisfied with the requirement, the current grouping result needs to be adjusted, the grouping evaluation index score is recalculated after adjustment, and whether grouping adjustment needs to be continued is re-determined.
And S302, if the grouping evaluation index score is within a preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
Specifically, if the grouping evaluation index score calculated in step S207 is within the corresponding preset grouping score interval, it is determined that the current grouping result meets the requirement, and the current grouping result does not need to be adjusted, so that the adjustment of the current grouping result is stopped, and the grouping process is ended.
Here, the reinforcement quantity factor evaluation coefficient score α may be set to a corresponding grouping score interval of 1.0 to 1.2, for example. For the regularity index score beta, the corresponding grouping score interval can be set according to the number n of the building components with the same characteristic data in the same classification, for example, when 0< n < 10, the grouping score interval corresponding to beta is set to be 1-4, when 10< n < 20, the grouping score interval corresponding to beta is set to be 1-6, and when 20< n < 50, the grouping score interval corresponding to beta is set to be 1-10.
It can be understood by those skilled in the art that a threshold of the number of times of packet adjustment may be preset, and when the number of times of packet adjustment exceeds the threshold of the number of times, the packet adjustment is stopped, so as to avoid endless adjustment.
In summary, the method for generating a building model according to the embodiment of the present application classifies a plurality of building elements according to the characteristic data of the building elements in the initial building model, determines the actual reinforcing steel bars corresponding to each building element in the same classification, a plurality of building components in the same category are sorted and grouped according to the actual steel bars and the preset grouping indexes, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score, adjusting the grouping result according to the grouping evaluation index score and the sorting result, setting a number for each group in the grouping result to establish a mapping relation between the numbers and the corresponding building elements, and generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers. The method comprises the steps of determining actual reinforcing steel bars corresponding to all building components in the same classification, sorting and primarily grouping the actual reinforcing steel bars according to the actual reinforcing steel bars, and adjusting grouping results according to grouping evaluation index scores, wherein the grouping evaluation index scores can be preset grouping indexes, such as design regularity, construction convenience and the like, and can include reinforcing steel bar quantity factor evaluation coefficient scores and regularity index scores, so that the building components can be reasonably grouped, and further a target building model generated based on numbers corresponding to the grouping results can meet the requirements of design regularity and construction convenience.
In order to implement the foregoing embodiments, the present application further provides a device for generating a building model, which can execute the method for generating a building model according to the foregoing embodiments. As shown in fig. 4, the generating device 40 of the building model provided in the embodiment of the present application may specifically include: an acquisition module 41, a classification module 42, a determination module 43, an ordering module 44, a grouping module 45, a calculation module 46, an adjustment module 47, a setting module 48, and a generation module 49. Wherein:
an obtaining module 41 is configured to obtain characteristic data of the building elements in the initial building model.
A classification module 42 for classifying the plurality of building elements according to the characteristic data.
And the determining module 43 is used for determining the actual distribution steel bars corresponding to each building component in the same category.
And the sequencing module 44 is used for sequencing the plurality of building components in the same classification according to the actual distribution steel bars and the preset grouping indexes.
And the grouping module 45 is used for grouping a plurality of building components in the same category according to the actual distribution steel bars.
And the calculating module 46 is used for calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score.
And the adjusting module 47 is used for adjusting the grouping result according to the grouping evaluation index score and the sorting result.
A setting module 48, configured to set a number for each group in the grouping result, so as to establish a mapping relationship between the numbers and the corresponding building elements.
And the generating module 49 is configured to generate a target building model according to the mapping relationship and the initial building model, where building elements in the target building model are labeled with corresponding numbers.
Further, in a possible implementation manner of the embodiment of the present application, the sorting module 44 is specifically configured to: calculating the grouping index score of each building component in the same classification according to the actual distribution steel bars and the grouping indexes; the plurality of building elements within the same category are ordered according to the grouping index score.
Further, in a possible implementation manner of the embodiment of the present application, the grouping module 45 is specifically configured to: and determining the building elements with the same actual reinforcing steel bars into a group.
Further, in a possible implementation manner of the embodiment of the present application, the calculating module 46 is specifically configured to: and calculating the evaluation coefficient score of the reinforcing steel bar quantity factors in the same group, wherein the evaluation coefficient score of the reinforcing steel bar quantity factors is the ratio of the area of the actual reinforcing steel bar to the area of the calculated reinforcing steel bar.
Further, in a feasible implementation manner of the embodiment of the present application, the computing module is specifically configured to: and calculating a regularity index score according to the grouping result, wherein the regularity index score is the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number.
Further, in a possible implementation manner of the embodiment of the present application, the adjusting module 47 is specifically configured to: if the grouping evaluation index score is not within the preset grouping score interval, adjusting the grouping result according to the sorting result; and if the grouping evaluation index score is within the preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
Further, in a possible implementation manner of the embodiment of the present application, the characteristic data includes geometric characteristic data.
Further, in a possible implementation manner of the embodiment of the present application, the characteristic data further includes one or more of the following data: concrete grade, earthquake-resistance grade and hinge properties.
It should be noted that the explanation of the embodiment of the building model generation method described above is also applicable to the building model generation apparatus of this embodiment, and details are not repeated here.
In summary, the apparatus for generating a building model according to the embodiment of the present application classifies a plurality of building elements according to the characteristic data of the building elements in the initial building model, determines the actual reinforcing bars corresponding to each building element in the same classification, a plurality of building components in the same category are sorted and grouped according to the actual steel bars and the preset grouping indexes, calculating grouping evaluation index scores according to the grouping results, wherein the grouping evaluation index scores comprise a reinforcement quantity factor evaluation coefficient score and a regularity index score, adjusting the grouping result according to the grouping evaluation index score and the sorting result, setting a number for each group in the grouping result to establish a mapping relation between the numbers and the corresponding building elements, and generating a target building model according to the mapping relation and the initial building model, wherein building components in the target building model are marked with corresponding numbers. The method comprises the steps of determining actual reinforcing steel bars corresponding to all building components in the same classification, sorting and primarily grouping the actual reinforcing steel bars according to the actual reinforcing steel bars, and adjusting grouping results according to grouping evaluation index scores, wherein the grouping evaluation index scores can be preset grouping indexes, such as design regularity, construction convenience and the like, and can include reinforcing steel bar quantity factor evaluation coefficient scores and regularity index scores, so that the building components can be reasonably grouped, and further a target building model generated based on numbers corresponding to the grouping results can meet the requirements of design regularity and construction convenience.
In order to implement the foregoing embodiments, an electronic device 50 may specifically include a memory 51, a processor 52, and a computer program stored in the memory 51 and executable on the processor 52, as shown in fig. 5, and when the processor 52 executes the program, the method for generating the building model as shown in the foregoing embodiments is implemented.
In order to implement the above embodiments, the present application further proposes a computer-readable storage medium, on which a computer program is stored, the program being executed by a processor to implement the method for generating a building model as shown in the above embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (18)
1. A method for generating a building model, comprising:
acquiring characteristic data of building components in the initial building model;
classifying a plurality of said building elements according to said characteristic data;
determining actual reinforcing steel bars corresponding to each building component in the same classification;
sequencing a plurality of building components in the same classification according to the actual distribution steel bars and a preset grouping index; wherein, said according to said real distribution reinforcing bar and predetermined grouping index go on rank to a plurality of said building elements in the same classification, including:
according to the determined actual reinforcing steel bars corresponding to the building elements in the same category, sequencing the building elements in the same category according to the preset grouping indexes of the actual reinforcing steel bars of the building elements to obtain a sequencing result; the preset grouping indexes comprise actual reinforcement area, actual reinforcement quantity, actual reinforcement diameter, regularity indexes, construction convenience and operability;
grouping a plurality of the building components in the same category according to the actual distribution steel bars;
calculating grouping evaluation index scores according to grouping results, wherein the grouping evaluation index scores comprise reinforcement quantity factor evaluation coefficient scores and regularity index scores, the reinforcement quantity factor evaluation coefficient scores are the ratio of the area of the actual reinforced bars to the area of the calculated reinforced bars, and the regularity index scores are the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number;
adjusting the grouping result according to the grouping evaluation index score and the sorting result;
setting a number for each group in the grouping result to establish a mapping relation between the number and the corresponding building element;
and generating a target building model according to the mapping relation and the initial building model, wherein the building components in the target building model are marked with the corresponding numbers.
2. The method of generating as claimed in claim 1, wherein said sorting of said plurality of building elements within the same category according to said actual distribution bars and a preset grouping index comprises:
calculating a grouping index score of each building element in the same classification according to the actual distribution steel bars and the grouping indexes;
ordering the plurality of building elements within the same category according to the grouping index score.
3. The method of generating as claimed in claim 1, wherein said grouping a plurality of said building elements within the same category according to said actual distribution rebar comprises:
and determining the building elements with the same actual reinforced bars as a group.
4. The method of generating as claimed in claim 1, wherein said calculating a grouping evaluation index score from the grouping result comprises:
and calculating the evaluation coefficient score of the reinforcing steel bar quantity factors in the same group, wherein the evaluation coefficient score of the reinforcing steel bar quantity factors is the ratio of the area of the actual reinforcing steel bar to the area of the calculated reinforcing steel bar.
5. The method of generating as claimed in claim 1, wherein said calculating a grouping evaluation index score from the grouping result comprises:
and calculating the regularity index score according to the grouping result, wherein the regularity index score is the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number.
6. The method of generating as claimed in claim 1, wherein said adjusting said grouping result according to said grouping evaluation index score and said sorting result comprises:
if the grouping evaluation index score is not within a preset grouping score interval, adjusting the grouping result according to a sorting result;
and if the grouping evaluation index score is within a preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
7. The generation method according to claim 1, characterized in that the characteristic data comprise geometric characteristic data.
8. The generation method of claim 7, wherein the characteristic data further comprises one or more of the following:
concrete grade, earthquake-resistance grade and hinge properties.
9. An apparatus for generating a building model, comprising:
the acquisition module is used for acquiring characteristic data of the building components in the initial building model;
a classification module for classifying the plurality of building elements according to the characteristic data;
the determining module is used for determining actual distribution steel bars corresponding to each building component in the same classification;
the sorting module is used for sorting the plurality of building components in the same classification according to the actual distribution steel bars and a preset grouping index;
wherein, said according to said real distribution reinforcing bar and predetermined grouping index go on rank to a plurality of said building elements in the same classification, including:
according to the determined actual reinforcing steel bars corresponding to the building elements in the same category, sequencing the building elements in the same category according to the preset grouping indexes of the actual reinforcing steel bars of the building elements to obtain a sequencing result; the preset grouping indexes comprise actual reinforcement area, actual reinforcement quantity, actual reinforcement diameter, regularity indexes, construction convenience and operability;
the grouping module is used for grouping a plurality of building components in the same classification according to the actual distribution steel bars;
the calculation module is used for calculating grouping evaluation index scores according to grouping results, wherein the grouping evaluation index scores comprise reinforcement quantity factor evaluation coefficient scores and regularity index scores, the reinforcement quantity factor evaluation coefficient scores are the ratio of the area of the actual reinforcing steel bars to the area of the calculated reinforcing steel bars, and the regularity index scores are the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number;
the adjusting module is used for adjusting the grouping result according to the grouping evaluation index score and the sorting result;
the setting module is used for setting a number for each group in the grouping result so as to establish a mapping relation between the number and the corresponding building component;
and the generating module is used for generating a target building model according to the mapping relation and the initial building model, and the building components in the target building model are marked with the corresponding numbers.
10. The generation apparatus of claim 9, wherein the ranking module is specifically configured to:
calculating a grouping index score of each building element in the same classification according to the actual distribution steel bars and the grouping indexes;
ordering the plurality of building elements within the same category according to the grouping index score.
11. The generation apparatus according to claim 9, wherein the grouping module is specifically configured to:
and determining the building elements with the same actual reinforced bars as a group.
12. The generation apparatus according to claim 9, wherein the calculation module is specifically configured to:
and calculating the evaluation coefficient score of the reinforcing steel bar quantity factors in the same group, wherein the evaluation coefficient score of the reinforcing steel bar quantity factors is the ratio of the area of the actual reinforcing steel bar to the area of the calculated reinforcing steel bar.
13. The generation apparatus according to claim 9, wherein the calculation module is specifically configured to:
and calculating the regularity index score according to the grouping result, wherein the regularity index score is the ratio of the number of the building components with the same characteristic data in the same classification to the grouping number.
14. The generation apparatus according to claim 9, wherein the adjustment module is specifically configured to:
if the grouping evaluation index score is not within a preset grouping score interval, adjusting the grouping result according to a sorting result;
and if the grouping evaluation index score is within a preset grouping score interval, stopping adjusting the grouping result according to the sorting result.
15. The generation apparatus of claim 9, wherein the characteristic data comprises geometric characteristic data.
16. The generation apparatus of claim 15, wherein the characteristic data further comprises one or more of:
concrete grade, earthquake-resistance grade and hinge properties.
17. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, when executing the program, implementing the method of generating a building model according to any of claims 1-8.
18. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of generating a building model according to any one of claims 1 to 8.
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