CN115017588B - Method, device, equipment and storage medium for generating sports building model - Google Patents
Method, device, equipment and storage medium for generating sports building model Download PDFInfo
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- CN115017588B CN115017588B CN202210654965.7A CN202210654965A CN115017588B CN 115017588 B CN115017588 B CN 115017588B CN 202210654965 A CN202210654965 A CN 202210654965A CN 115017588 B CN115017588 B CN 115017588B
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Abstract
The application provides a method, a device, equipment and a storage medium for generating a sports building model, and relates to the technical field of buildings. The method comprises the steps of obtaining basic information of a target design building; searching and acquiring a corresponding target basic model in a preset model library according to the basic information; and optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building. Therefore, the target design building meets the corresponding standard specifications, and meets the corresponding personalized requirements, so that basic design work is avoided repeatedly, the design cost is saved, design work is performed through the standardized model, the working efficiency is improved, and the working error rate is reduced.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a method, a device, equipment and a storage medium for generating a sports building model.
Background
In the construction industry, building designs must meet building related specifications. For the building design of stadiums, not only building related specifications but also related requirements of sports technology are met.
In the existing stadium construction process, two-dimensional building design drawings are required to be drawn according to building related specifications and sports technology. In the process of drawing the building design drawing, a designer can master the design result according to the learning of the related sports process and the understanding of the designer and the knowledge of the sports building design by the designer. However, because the knowledge reserves among the designers are different and the design fields are different, not all the designers can accurately understand the design concept of the split stadium and accurately complete the design requirement of the stadium, and the latest related requirements of the sports process cannot be ensured to be mastered in time, so that the differences of the design works of different designers are possibly larger and even subjective errors occur. Moreover, for most stadium designs, the basic design standards and design flows are similar, and each design needs to do repetitive work, which consumes a great deal of time and effort.
Therefore, the existing building design method of the stadium is low in efficiency and high in error rate.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a storage medium for generating a sports building model, aiming at the defects in the prior art, so as to solve the problems of low efficiency and the like caused by repeated basic design in the prior art.
In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:
in a first aspect, an embodiment of the present application provides a method for generating a sports building model, including:
obtaining basic information of a target design building, wherein the basic information comprises the following steps: building type, building foundation parameters;
according to the basic information, searching and obtaining a corresponding target basic model in a preset model library, wherein the preset model library comprises: a plurality of basic models, and building type information and building parameter information corresponding to each basic model;
and optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building.
Optionally, the optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building includes:
acquiring the deviation between the target basic model and the target design building according to the target basic model and the basic information of the target design building;
and obtaining optimization parameters input based on deviation between the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building.
Optionally, the method further comprises:
generating a plurality of basic models according to the basic information of each basic model and an initial component library;
and storing the basic model into the preset model library.
Optionally, the initial component library includes at least one of: stand library, game field library, traffic space library, function Fang Ku;
the stand library includes: at least one type of stand model;
the playing field library comprises: at least one type of playing field model;
the traffic space library comprises: at least one type of traffic space model; the traffic space includes at least one of: an exit, an entrance, a walkway, a staircase, an elevator, an escalator and a ramp;
the functional house comprises: at least one functional room model; the functional room comprises at least one of the following: athlete rooms, media rooms, competition management rooms, technical equipment rooms, security rooms, stadium operation rooms, common audience rooms, and guests rooms.
Optionally, the storing the base model in the preset model library includes:
marking basic information corresponding to the basic model;
generating a retrieval identifier corresponding to the basic model according to the basic information;
and storing the basic model classification in the preset model library according to the retrieval identification.
Optionally, the retrieving, according to the basic information, a corresponding target basic model in a preset model library includes:
determining a retrieval identification according to the basic information;
and searching and obtaining a corresponding target basic model in a preset model library according to the search mark.
Optionally, the method further comprises:
responding to an updating instruction, and calling a basic model to be updated from the preset model library, wherein the updating instruction comprises basic information of the basic model to be updated;
updating the basic model to be updated according to the updating parameters to obtain a new basic model;
and updating the preset model library according to the new basic model.
In a second aspect, an embodiment of the present application provides a device for generating a sports building model, where the device includes:
the first acquisition module is used for acquiring basic information of the target design building, and the basic information comprises: building type, building foundation parameters;
the second obtaining module is configured to retrieve and obtain a corresponding target basic model from a preset model library according to the basic information, where the preset model library includes: a plurality of basic models, and building type information and building parameter information corresponding to each basic model;
and the optimizing module is used for optimizing the target basic model according to the target basic model and the basic information of the target design building and outputting the model of the target design building.
In a third aspect, an embodiment of the present application provides an electronic device, including: the processor is in communication connection with the storage medium through a bus, the storage medium stores program instructions executable by the processor, and the processor calls a program stored in the storage medium to execute the steps of the method for generating the sports building model according to any one of the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for generating a sports building model according to any one of the first aspects above.
Compared with the prior art, the application has the following beneficial effects:
the embodiment of the application provides a method, a device, equipment and a storage medium for generating a sports building model, wherein the method is used for acquiring basic information of a target design building; searching and acquiring a corresponding target basic model in a preset model library according to the basic information; and optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building. Therefore, the target design building is enabled to avoid the design work of the foundation repeatedly on the basis of meeting the corresponding personalized requirements, the design cost is saved, the design work is carried out through the standardized model, the working efficiency is improved, and the working error rate is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for generating a sports building model according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for optimizing a model according to an embodiment of the present application;
fig. 3 is a flow chart of a method for generating a model library according to an embodiment of the present application;
FIG. 4 is a flow chart of a method for storing a model according to an embodiment of the present application;
fig. 5 is a flow chart of a method for retrieving a model according to an embodiment of the present application;
fig. 6 is a flowchart of a method for updating a model library according to an embodiment of the present application;
fig. 7 is a schematic diagram of a generation device of a sports building model according to an embodiment of the present application;
fig. 8 is a schematic diagram of an electronic device according to an embodiment of the present application.
Icon: 701-a first acquisition module, 702-a second acquisition module, 703-an optimization module, 801-a processor, 802-a storage medium.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, based on the embodiments herein, which would be apparent to one of ordinary skill in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
Furthermore, the terms "first," "second," and the like, if any, are used merely for distinguishing between descriptions and not for indicating or implying a relative importance.
It should be noted that the features of the embodiments of the present invention may be combined with each other without conflict.
When the sports building design is carried out, basic design standards and design flows are similar, and a great deal of repetitive work is carried out on each design. In order to reduce repetitive work in building design, the application provides a method, a device, equipment and a storage medium for generating a sports building model, which improve the working efficiency of the building design and save the working time and the energy of staff.
The following explains a method for generating a sports building model provided in the embodiment of the present application by way of a specific example. Fig. 1 is a schematic flow chart of a method for generating a sports building model according to an embodiment of the present application, where an execution subject of the method may be a desktop computer, a notebook computer, etc. with a computing function, and the method is not limited herein. As shown in fig. 1, the method includes:
s101, acquiring basic information of a target design building.
For large buildings, building design is a very strict and complex task, and basic information of a target design building needs to be acquired first. The basic information may include: building type, building foundation parameters. By way of example, the building type may be information about specifications, standards, etc. of the building, for example, a class a gym, a class b gym, a class a office building, a class b office building; the building base parameters may be general quantization parameters of the building, such as height, floor area, interior division, etc., and further may include information such as number of seats of a gym, number of floors of an office building, etc., without specific limitation. The basic frame of the target design building can be determined from the basic information of the target design building, and the basic design can be further performed based on the basic frame.
S102, searching and obtaining a corresponding target basic model in a preset model library according to the basic information.
In this embodiment, a preset model library may be stored in advance, where the preset model library includes: the system comprises a plurality of basic models, and building type information and building parameter information corresponding to each basic model. The parameter information may be information of a size, a layout, a specification and the like of the corresponding basic model, and may be stored according to specific needs.
The basic model is a three-dimensional building model meeting the corresponding basic design requirements, and may be built based on modeling software such as BIM (Building Information Modeling, building information model), for example, REVIT. According to the basic information of the target design building, a corresponding target basic model can be retrieved and obtained from a preset model library.
Compared with the completed building, the newly designed building has more advance, and the situation that the existing basic information in the preset model library is not completely consistent with the basic information of the target designed building may occur. Therefore, if the basic information corresponding to the identical basic model is retrieved from the basic information of the target design building, the basic model is set as the target basic model. If the basic information corresponding to the identical basic model cannot be retrieved according to the basic information of the target design building, the deviation between the basic information of the target design building and the basic information corresponding to each basic model can be obtained, and the basic model with the smallest deviation is taken as the target basic model. Specifically, the possibility of changing the building type information is small, and the building type corresponding to the target design building is definitely present in the preset model library, so that a plurality of basic models consistent with the building type of the target design building can be determined, parameter deviation between the target design building and building parameters of the plurality of basic models is obtained, and the basic model with the minimum parameter deviation is taken as the target basic model. It should be noted that, the calculation of the basic information deviation may be obtained by comparing with the electronic device, or may be self-aligned by the design staff, and the corresponding target basic model may be selected. The corresponding target basic model is obtained through searching from the preset model library, so that basic design work does not need to be repeatedly carried out in the process of building design.
For example, the number of basic models in the preset model library can be set according to actual design requirements, and the more the number of basic models is, the more accurate the corresponding target basic models are obtained according to basic information matching of the target design building.
S103, optimizing the target basic model according to the target basic model and basic information of the target design building, and outputting the model of the target design building.
As can be seen from the above steps, the basic information corresponding to the target basic model is not necessarily completely equal to the basic information of the target design building, but may be the basic model having the smallest deviation from the target design building. After the target basic model is determined, the target basic model can be optimized based on the target basic model according to the basic information of the target design building, and the optimized model of the target design building is obtained. The model of the target design building meets the design requirement, the personalized requirement corresponding to the basic information of the target design building is met, and meanwhile, the design cost is saved.
In summary, according to the method for generating the sports building model, provided by the embodiment of the application, basic information of a target design building is obtained; searching and acquiring a corresponding target basic model in a preset model library according to the basic information; and optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building. Therefore, the target design building meets the corresponding design requirement, and on the basis of meeting the corresponding personalized requirement, the basic design work is avoided repeatedly, the design cost is saved, the working efficiency is improved, and the working error rate is reduced.
Fig. 2 is a flow chart of a method for optimizing a model according to an embodiment of the present application. As shown in fig. 2, in S103, optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building, including:
s201, acquiring deviation of the target basic model and the target design building according to the target basic model and basic information of the target design building.
By comparing the building type, the building parameters and the like of the target design building with the target basic model, the building type deviation and/or the building parameter deviation of the target design building can be obtained.
For example, if the building type of the target basic model is a class a gym and the building parameters are 15000, and the building type of the target design building is a class a gym and the building parameters are 14000, the building types of the two are the same, and the deviation of the building parameters is 1000. Deviations in size or layout are also possible, for example, the building type of the target base model is a class a stadium, containing 2 badminton playing fields, the building type of the target design building is a class a stadium, but 4 badminton playing fields are required, and the deviation is 2 badminton playing fields.
S202, obtaining optimization parameters input based on deviation between the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building.
And obtaining the optimized parameters on the basis of the building type deviation and the building parameter deviation of the target basic model and the target design building. For example, the optimization parameters include a building type optimization parameter, a building parameter optimization parameter, which may be: the building parameter optimization parameters are 1000 seats from the second-level gym standard to the first-level gym standard. The target base model may be optimized based on the optimization parameters, outputting a model of the target design building. For example, the process of optimizing the target basic model is mainly to optimize the basic design in the target basic model, if the building type optimization parameter is that the building type optimization parameter is improved from the standard of the stadium of level b to the standard of the stadium of level a, namely, the target basic model is the stadium of level b, the target design building is the stadium of level a, and the level b basic design in the target basic model needs to be adaptively adjusted to the level a basic design; if the building parameter optimization parameter is 1000, that is, the number of seats of the target basic model is 1000 more than that of the target design building, 1000 seats should be reduced on the basis of the number of seats of the target basic model, the corresponding number of seats reduction rate is determined, the basic design related to the number of seats in the target basic model is adaptively reduced or reduced according to the number of seats reduction rate, and if on the basis, design staff can further perform personalized design based on the output model of the target design building so as to meet the higher-level design requirement of the target building.
In summary, in this embodiment, the deviation between the target basic model and the target design building is obtained according to the basic information of the target basic model and the target design building; and obtaining optimization parameters input based on deviation of the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building. Thereby bringing the base design in the model of the target design building closer to the actual design requirements of the target design building.
Fig. 3 is a flowchart of a method for generating a model library according to an embodiment of the present application. As shown in fig. 3, the method includes:
s301, generating a plurality of basic models according to basic information of each basic model and an initial component library.
When a model library is established, the number and types of basic models need to be determined, the more basic models and the more types are, the more model library is, and the more accurate the generated target basic model is.
The number of base models may be determined from the base information of the base models. The basic information comprises building types and building basic parameters, the preset categories of the building types are determined, and preset values of the building basic parameters are determined; and comprehensively determining the number of the basic models according to the preset categories of the building types and the preset numerical values of the basic parameters of the building. For example, the preset categories of the building basic parameters are a class a gym and a class b gym, and the preset values of the building basic parameters of the gym are 3000, 6000, 10000 and 15000, so that the basic models can be divided into five categories according to actual requirements and design conventions, wherein the first category is: 3000-class B gym; the second category: 6000-class B gym; third category: 6000-class A gym; fourth category: 10000 seats-class A gym; fifth category: 15000-class a gym, i.e. the number of base models is 5. If the preset categories and preset values are further subdivided, the number of basic models may be further increased, for example, but not limited to, natatorium, hockey puck, football field, etc.
After the number of basic models and the basic information of each basic model are determined. Each component in the initial component library is designed according to various basic information. And combining all the components which are designed into a complete basic model. And sequentially completing the component design corresponding to each piece of basic information, and generating a plurality of basic models. For example, an initial component library is preset in the BIM modeling software, and after basic information of each component is acquired, a basic model is generated in the BIM modeling software based on the basic information.
S302, storing the basic model into a preset model library.
Multiple basic models can be stored in a preset model library, and the basic models can be synchronously stored in BIM modeling software, so that the search and the acquisition are facilitated.
In summary, in this embodiment, a plurality of base models are generated according to the base information of each base model and the initial component library; and storing the basic model into a preset model library. Therefore, a plurality of basic models are acquired, so that the preset model library is richer.
With continued reference to fig. 3. The initial component library includes at least one of: stand libraries, playing field libraries, traffic space libraries, functional house libraries.
The stand library includes: at least one type of stand model. The stand model design includes: the design of the stand partition, the design of the stand outline, the design of the stand entrance, the streamline, the line of sight design, the row distance design and the seat arrangement. The type of construction (class a, class b) affects the stand partition design, line of sight design, row pitch design, and seating arrangement. The basic parameters (the number of seats) of the building are the influencing factors of the design of the contours of the stand, the entrance and exit of the stand, the streamline design and the like.
The playing field library comprises: at least one type of playing field model. The playing field model design includes a competition area design, an auxiliary area design, a buffer area design, and a field exit and entrance design. The building type (class A, class B) is the influencing factor of the design of the competition field model.
The traffic space library comprises: at least one type of traffic space model; the traffic space includes at least one of: an exit, an entrance, a walkway, a staircase, an elevator, an escalator, and a ramp.
The functional house includes: at least one functional room model; the functional room comprises at least one of the following: athlete rooms, media rooms, competition management rooms, technical equipment rooms, security rooms, stadium operation rooms, common audience rooms, and guests rooms. The building type (class A, class B) is an influencing factor for the design of the functional house model. Building base parameters (the number of agents) are also influencing factors for the design of functional room models.
Fig. 4 is a flow chart of a method for storing a model according to an embodiment of the present application. As shown in fig. 4, in S302, storing the basic model in a preset model library includes:
s401, marking basic information corresponding to the basic model.
Each basic model has corresponding basic information, and the basic information comprises the building type and building basic parameters of the basic model. And marking the basic information corresponding to each basic model as the basic information corresponding to each basic model is different, so as to distinguish the basic models. In the storage process, the basic information corresponding to the basic model is associated, so that the subsequent retrieval and comparison and the like can be facilitated.
S402, according to the basic information, a retrieval identifier corresponding to the basic model is generated.
In the foregoing embodiment, the search may be performed as the search identifier according to the building type, the building foundation parameter, or the like, but the search result may be matched to a plurality of. On the basis of the above embodiment, in order to facilitate retrieval, a corresponding retrieval identifier may be generated for each piece of basic information. The search identifier may be a number or a letter, for example; the search marks may be sequentially numbered according to a certain order among the plurality of basic information, or may be numbered out of order, which is not limited herein. So long as a basic information can be uniquely determined by a retrieval identification. The basic models all have corresponding basic information, and the unique basic information can be determined through the retrieval identification, so that the unique basic model can be determined, namely the retrieval identification is also the retrieval identification corresponding to the basic model.
S403, according to the retrieval identification, storing the basic model classification in a preset model library.
And storing the basic model classification in a preset model library according to the corresponding relation between the retrieval identification, the basic information and the basic model. The corresponding basic model can be conveniently obtained by searching the identification.
In summary, in this embodiment, the basic information corresponding to the basic model is marked; generating a retrieval identifier corresponding to the basic model according to the basic information; and storing the basic model classification in a preset model library according to the retrieval identification. Therefore, the basic model is marked with the retrieval identifier, so that the basic model is convenient to retrieve and inquire after being stored in the preset model library.
Fig. 5 is a flow chart of a method for retrieving a model according to an embodiment of the present application. As shown in fig. 5, in S102, according to the basic information, a corresponding target basic model is retrieved from a preset model library, which includes:
s501, determining a retrieval identification according to the basic information.
And according to the design requirement of the target design building, corresponding the basic information of the target design building. And determining basic information with minimum deviation from the basic information in a preset model library according to the basic information of the target design building. And obtaining the retrieval identification corresponding to the basic information with the minimum deviation as the retrieval identification corresponding to the basic information of the target design building.
S502, searching and obtaining a corresponding target basic model in a preset model library according to the searching identification.
In a preset model library, the retrieval identifiers have a one-to-one correspondence with the basic models. And searching and obtaining a unique basic model in a preset model library according to the searching identification, and taking the basic model as a target basic model of a target design building.
In summary, in this embodiment, the search identifier is determined according to the basic information; and searching and obtaining a corresponding target basic model in a preset model library according to the search mark. Therefore, the target basic model is obtained through the retrieval by obtaining the corresponding retrieval identification, so that the retrieval of the target basic model is more accurate.
Fig. 6 is a flowchart of a method for updating a model library according to an embodiment of the present application. As shown in fig. 6, the method includes:
s601, calling a basic model to be updated from a preset model library in response to an update instruction, wherein the update instruction comprises basic information of the basic model to be updated.
With the development of the architectural design industry, the basic models in the preset model library do not necessarily meet the current industry requirements. The preset model library can be updated according to industry requirements and the like. For example, the model update may be to add a new basic model to the preset model library, or to divide the basic model into more refined basic models based on the original basic model, for example, in the same basic information range, the original 10 basic models are now split into 20 basic models. When the model is updated, all basic models can be updated, only part of basic models can be updated, and the original basic models can be not processed, so that new basic models are added.
The method comprises the steps of firstly determining a basic model to be updated and basic information of the basic model to be updated, wherein the basic information of the basic model to be updated is the basic information to be updated. And calling the basic model to be updated from a preset model library according to the updating instruction.
The update instruction may be input by an engineer or may be generated periodically, and is not limited herein.
S602, updating the basic model to be updated according to the updating parameters to obtain a new basic model.
And comparing the original basic information of the basic model to be updated with the basic information to be updated to obtain the updated parameters. And updating the basic model to be updated according to the updating parameters to obtain a new basic model. The basic information to be updated can also be used as an update parameter to be input into the basic model to be updated, and a new basic model is regenerated.
Alternatively, a new basic model can be generated and added to the preset model library.
S603, updating a preset model library according to the new basic model.
And marking the basic information corresponding to the new basic model. And generating a retrieval identifier corresponding to the new basic model according to the basic information. And storing the new basic model classification in a preset model library according to the retrieval identification.
In addition, the preset model library is updated according to the basic information except the above. The method further comprises the step of updating the preset model library according to the component design in the initial component library. As the architectural design industry evolves, the standards and specifications of architectural designs change over time. The design requirements of the corresponding building details will also vary. Therefore, the component design in the initial component library needs to be updated according to an update instruction, which includes the updated component. For example, the updating of the component design may be set by a worker, and the production device may systematically update the component design in the preset model library according to the updating instruction, or update the component design in the preset model library for the worker.
To sum up, in this embodiment, the basic model to be updated is called from the preset model library in response to an update instruction, where the update instruction includes basic information of the basic model to be updated; updating the basic model to be updated according to the updating parameters to obtain a new basic model; and updating a preset model library according to the new basic model. Therefore, the preset model library is updated timely and effectively, and the latest requirements of building design are met.
The following describes a sports building model generating device, equipment, storage medium and the like provided by the application for execution, and specific implementation processes and technical effects thereof are referred to above, and are not described in detail below.
Fig. 7 is a schematic diagram of a sports building model generating device according to an embodiment of the present application, and as shown in fig. 7, the loading device may include:
the first obtaining module 701 is configured to obtain basic information of a target design building, where the basic information includes: building type, building foundation parameters;
the second obtaining module 702 is configured to retrieve and obtain a corresponding target basic model from a preset model library according to the basic information, where the preset model library includes: a plurality of basic models, and building type information and building parameter information corresponding to each basic model;
and the optimizing module 703 is configured to optimize the target basic model according to the target basic model and the basic information of the target design building, and output a model of the target design building.
Further, the optimizing module 703 is specifically configured to obtain a deviation between the target basic model and the target design building according to the basic information of the target basic model and the target design building;
and obtaining optimization parameters input based on deviation of the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building.
Further, the second obtaining module 702 is further configured to generate a plurality of base models according to the base information of each base model and the initial component library;
and storing the basic model into a preset model library.
Further, the second obtaining module 702 is further configured to store the base model in a preset model library, including:
marking the building type corresponding to the basic model;
according to the building type, generating a retrieval identifier corresponding to the basic model;
and storing the basic model classification in a preset model library according to the retrieval identification.
Further, the second obtaining module 702 is further configured to determine a retrieval identifier according to the basic information;
and searching and obtaining a corresponding target basic model in a preset model library according to the search mark.
Further, the second obtaining module 702 is further configured to call a basic model to be updated from a preset model library in response to an update instruction, where the update instruction includes basic information of the basic model to be updated;
updating the basic model to be updated according to the updating parameters to obtain a new basic model;
and updating a preset model library according to the new basic model.
The above modules may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more microprocessors (digital singnal processor, abbreviated as DSP), or one or more field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), or the like. For another example, when a module above is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU) or other processor that may invoke the program code. For another example, the modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Fig. 8 is a schematic diagram of an electronic device provided in an embodiment of the present application, where the electronic device may be a device with a computing processing function.
The electronic device includes: a processor 801, and a storage medium 802. The processor 801 and the storage medium 802 are connected by a bus.
The storage medium 802 is used to store a program, and the processor 801 calls the program stored in the storage medium 802 to execute the above-described method embodiment. The specific implementation manner and the technical effect are similar, and are not repeated here.
Optionally, the present invention also provides a program product, such as a computer readable storage medium, comprising a program for performing the above-described method embodiments when being executed by a processor.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the invention. And the aforementioned storage medium includes: u disk, mobile hard disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.
Claims (9)
1. A method for generating a sports building model, comprising:
obtaining basic information of a target design building, wherein the basic information comprises the following steps: building type, building foundation parameters;
according to the basic information, searching and obtaining a corresponding target basic model in a preset model library, wherein the preset model library comprises: a plurality of basic models, and building type information and building parameter information corresponding to each basic model;
optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building;
optimizing the target basic model according to the target basic model and the basic information of the target design building, and outputting the model of the target design building, wherein the method comprises the following steps:
acquiring the deviation between the target basic model and the target design building according to the target basic model and the basic information of the target design building; the deviation of the target base model from the target design building includes: building type deviation and/or building parameter deviation;
and obtaining optimization parameters input based on deviation between the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building.
2. The method according to claim 1, wherein the method further comprises:
generating a plurality of basic models according to the basic information of each basic model and an initial component library;
and storing the basic model into the preset model library.
3. The method of claim 2, wherein the initial component library comprises at least one of: stand library, game field library, traffic space library, function Fang Ku;
the stand library includes: at least one type of stand model;
the playing field library comprises: at least one type of playing field model;
the traffic space library comprises: at least one type of traffic space model; the traffic space includes at least one of: an exit, an entrance, a walkway, a staircase, an elevator, an escalator and a ramp;
the functional house comprises: at least one functional room model; the functional room comprises at least one of the following: athlete rooms, media rooms, competition management rooms, technical equipment rooms, security rooms, stadium operation rooms, common audience rooms, and guests rooms.
4. The method of claim 2, wherein the storing the base model in the pre-set model library comprises:
marking basic information corresponding to the basic model;
generating a retrieval identifier corresponding to the basic model according to the basic information;
and storing the basic model classification in the preset model library according to the retrieval identification.
5. The method according to claim 4, wherein retrieving, from the base information, a corresponding target base model in a preset model library includes:
determining a retrieval identification according to the basic information;
and searching and obtaining a corresponding target basic model in a preset model library according to the search mark.
6. The method according to any one of claims 1-5, further comprising:
responding to an updating instruction, and calling a basic model to be updated from the preset model library, wherein the updating instruction comprises basic information of the basic model to be updated;
updating the basic model to be updated according to the updating parameters to obtain a new basic model;
and updating the preset model library according to the new basic model.
7. A sports building model generation apparatus, the apparatus comprising:
the first acquisition module is used for acquiring basic information of the target design building, and the basic information comprises: building type, building foundation parameters;
the second obtaining module is configured to retrieve and obtain a corresponding target basic model from a preset model library according to the basic information, where the preset model library includes: a plurality of basic models, and building type information and building parameter information corresponding to each basic model;
the optimizing module is used for optimizing the target basic model according to the target basic model and the basic information of the target design building and outputting the model of the target design building;
the optimization module is specifically configured to obtain a deviation between the target basic model and the target design building according to the target basic model and basic information of the target design building; the deviation of the target base model from the target design building includes: building type deviation and/or building parameter deviation; and obtaining optimization parameters input based on deviation between the target basic model and the target design building, optimizing the target basic model, and outputting the model of the target design building.
8. An electronic device, comprising: the method for generating the sports building model according to any one of claims 1 to 6 comprises a processor and a storage medium, wherein the processor is in communication connection with the storage medium through a bus, the storage medium stores program instructions executable by the processor, and the processor calls a program stored in the storage medium to execute the steps of the method for generating the sports building model.
9. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of generating a sports building model according to any one of claims 1 to 6.
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