CN115221967A - BIM model component grouping method and device and electronic equipment - Google Patents
BIM model component grouping method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a BIM model component grouping method, a BIM model component grouping device and electronic equipment, wherein the BIM model component grouping method comprises the following steps: acquiring attribute information of components in a target BIM model, wherein the attribute information comprises identification information of each component and association information used for representing association relations between the components and other components; analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result; constructing a semantic network corresponding to the target BIM according to the identification information and the relevance analysis result of the components in the target BIM; and when a component grouping query request is received, carrying out BIM component grouping according to the semantic network corresponding to the target BIM model. The method of the invention realizes different dynamic grouping of different attribute requirements of the BIM components, improves the grouping efficiency of the BIM components and is convenient for subsequent grouping query work.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a BIM model component grouping method and device and electronic equipment.
Background
Currently, component groups in BIM are generally divided according to component attributes (such as component names, spatial positions, etc.), for example, when a grouping operation is required according to a spatial position, generally, after a certain space is positioned manually through a three-dimensional view, a frame selection or a click selection is performed on a required component, a grouping number attribute is given to the selected component, and then the components with the same attribute are classified into the same family or the same category. When a component has a plurality of attributes, it is necessary to assign a plurality of different group numbers to the component according to the different attributes, and to group the component into different groups. The whole grouping mode of the members in the BIM is poor in convenience, and inconvenience is brought to subsequent grouping query of the BIM members.
Disclosure of Invention
Therefore, the technical problem to be solved by the present invention is to overcome the defect of inconvenient subsequent query in the existing grouping method, so as to provide a method, an apparatus and an electronic device for grouping BIM model components.
According to a first aspect, an embodiment of the present invention discloses a BIM model component grouping method, including: acquiring attribute information of components in a target BIM model, wherein the attribute information comprises identification information of each component and association information used for representing association relations between the components and other components; analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result; establishing a semantic network corresponding to the target BIM according to the identification information of the components in the target BIM and the correlation analysis result; and when a component grouping query request is received, carrying out BIM component grouping according to the semantic network corresponding to the target BIM model.
The BIM model component grouping method obtains a relevance analysis result by carrying out relevance analysis on identification information of each component contained in attribute information constructed in a target BIM and relevance information used for representing relevance between the component and other components, constructs a semantic network corresponding to the target BIM according to the identification information and the relevance analysis result of the components in the target BIM, and carries out BIM component grouping according to the semantic network corresponding to the BIM when a component grouping query request is received. The method combines the BIM model with the semantic network, constructs the semantic network corresponding to the target BIM model according to the identification information and the relevance analysis result of the components in the target BIM model, and analyzes the semantic network corresponding to the BIM model to realize different dynamic grouping of different attribute requirements of the BIM components, thereby improving the grouping efficiency of the BIM components and facilitating the subsequent grouping query work.
Optionally, constructing a semantic network corresponding to the target BIM model according to the identification information of the component in the target BIM model and the correlation analysis result, including: and taking the identification information of the member as a node, taking the correlation analysis result as a directed connection line, and constructing to obtain a semantic network corresponding to the target BIM according to the node and the directed connection line.
According to the method, the identification information of the component is used as the node, the correlation analysis result is used as the directed connection line, the semantic network corresponding to the target BIM model is constructed, and the BIM construction is conveniently grouped according to the semantic network corresponding to the target BIM model.
Optionally, when a received component grouping query request is received, performing BIM component grouping according to a semantic network corresponding to the target BIM model, including: when a component grouping query request is received, determining whether a component grouping to be queried by the component grouping query request is a first type component grouping; when the component group to be queried of the component group query request is a first type component group, acquiring a pre-stored group code in the component attribute of the target BIM model and performing component group query operation according to the acquired group code; and when the component grouping query request requires that the component grouping to be queried is a second type component grouping, responding to a semantic network corresponding to the target BIM model to perform BIM component grouping operation, wherein the use frequency of components contained in the first type component grouping is greater than that of components contained in the second type component grouping.
By the method, the first type component group in the target BIM model is inquired according to the pre-stored group codes, the efficiency of component group inquiry is improved, and when the component group inquiry request requires that the component group to be inquired is the second type component group, the BIM component group operation is carried out according to the semantic network corresponding to the target BIM model, so that the dynamic grouping of the BIM model components is realized.
Optionally, when the component group to be queried by the component group query request is a second type component group, responding to the semantic network corresponding to the target BIM model to perform BIM component group operation, including: performing semantic relation query according to attribute information of nodes in a semantic network corresponding to the target BIM model and associated information of the directed connection lines; and performing grouping operation on the components in the target BIM according to the semantic relation query result to obtain a second type component group.
By the method, the second type component grouping is determined according to the semantic relation in the semantic network, and the dynamic grouping is realized.
Optionally, after constructing a semantic network corresponding to the target BIM model according to the identification information of the component in the target BIM model and the correlation analysis result, the method further includes: and storing the semantic network corresponding to the target BIM model into a graph database.
By the method, the semantic network is stored in the graph database, so that the semantic relationship in the semantic network can be conveniently and rapidly inquired in the follow-up process.
Optionally, after the components in the target BIM model are grouped according to the semantic relationship query result to obtain a second type component group, the method further includes: encoding components contained in the second type component group in the target BIM model according to the second type component group and the identification information of the components in the target BIM model; and storing the encoding result into the component attribute of the component corresponding to the second type component group of the target BIM model.
By the method, the coding result is stored in the component attribute corresponding to the second type component group of the target BIM model, subsequent quick retrieval is facilitated, and the second type component group is directly inquired in the target BIM model according to the coding.
According to a second aspect, an embodiment of the present invention further discloses a BIM model component grouping apparatus, including: the acquisition module is used for acquiring attribute information of the components in the target BIM model, wherein the attribute information comprises identification information of each component and association information used for representing association relations between the components and other components; the analysis module is used for analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result; the building module is used for building a semantic network corresponding to the target BIM according to the identification information of the components in the target BIM and the correlation analysis result; and the grouping module is used for grouping the BIM components according to the semantic network corresponding to the BIM model when receiving the component grouping query request.
The BIM model component grouping device provided by the invention obtains a correlation analysis result by performing correlation analysis on the identification information of each component contained in the attribute information constructed in the target BIM and the correlation information used for representing the correlation between the component and other components, constructs a semantic network corresponding to the target BIM according to the identification information of the components in the target BIM and the correlation analysis result, and performs BIM component grouping according to the semantic network corresponding to the BIM when receiving a component grouping query request. The method combines the BIM model with the semantic network, constructs the semantic network corresponding to the target BIM model according to the identification information and the relevance analysis result of the components in the target BIM model, and analyzes the semantic network corresponding to the BIM model to realize different dynamic grouping of different attribute requirements of the BIM components, thereby improving the grouping efficiency of the BIM components and facilitating the subsequent grouping query work.
Optionally, the building module includes: and the construction submodule is used for taking the identification information of the component as a node, taking the correlation analysis result as a directed connection line, and constructing to obtain a semantic network corresponding to the target BIM model according to the node and the directed connection line.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the BIM model component grouping method as described in the first aspect or any one of the optional embodiments of the first aspect.
According to a fourth aspect, the present invention further discloses a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the BIM model component grouping method according to the first aspect or any one of the optional embodiments of the first aspect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a specific example of a BIM model component grouping method in an embodiment of the present invention;
FIG. 2 is a diagram illustrating a specific example of a BIM model component grouping method according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a specific example of a BIM model component grouping apparatus in an embodiment of the present invention;
fig. 4 is a diagram of a specific example of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be connected through the inside of the two elements, or may be connected wirelessly or through a wire. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the invention discloses a BIM model component grouping method, which is described by taking the example of grouping the components of the BIM model of large-scale constructional engineering as an example, and comprises the following steps as shown in figure 1:
Illustratively, the target BIM model may be any BIM model to be grouped, and the attribute information of the members in the target BIM model may include, but is not limited to, identification information of each member and association information for characterizing association between the member and other members; in the embodiment of the present application, the identification information of the component may include, but is not limited to, a name and a number of the component, such as the pipe 1; the association information for characterizing the association relationship between the component and other components may include, but is not limited to, association information characterizing the component and other components in terms of time, space, system category, etc., for example, if the valve 1 and the valve 2 need to be opened at the same time, the valve 1 and the valve 2 are associated in time; the pipeline 1 and the pipeline 2 are positioned on the same floor, and the pipeline 1 and the pipeline 2 are spatially related; if pipeline 1 and pipeline 2 are in the same MEP (Mechanical Electrical & plumbbig, i.e. Mechanical, electrical, pipeline) system, then pipeline 1 and pipeline 2 are associated in the system category. In Revit software (a type of BIM software), the association relationship of components is expressed and stored through a Connector, and the component information associated with the Connector is read through an API (application programming interface) interface and is subjected to program analysis, so as to obtain the association relationship of the components.
And 102, analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result.
Illustratively, the target association may include, but is not limited to, associations in terms of time, space, system category, and component category. In the embodiment of the application, the relevance of time may include, but is not limited to, the relevance of each component in terms of working time, construction time period, and installation and removal time; the relevance of the space may include, but is not limited to, relevance between floors where the components are located, and the relevance of the system category may include, but is not limited to, relevance between Revit MEP systems where the components are located, and the relevance of the component category may include, but is not limited to, relevance between component categories where the components belong, for example, the pipe 1 and the pipe 2 both belong to a pipe, the Elbow1 (Elbow 1) and the Elbow2 (Elbow 2) both belong to an Elbow, and the relevance analysis result is a result obtained by further analysis based on the relevance information. In the embodiment of the application, relevance analysis can be performed on the relevant information through a plug-in, such as a program which is written through a Revit API and runs in Revit software, and relevance analysis results can be obtained through analyzing information, such as positioning points, geometric bodies, bounding boxes and the like, of members in a target BIM model contained in the relevant information.
103, constructing a semantic network corresponding to the target BIM according to the identification information of the components in the target BIM and the relevance analysis result.
Illustratively, semantic networks (semantic networks) are a structured way to represent knowledge graphically. In a semantic network, information is expressed as a set of nodes, and the nodes are connected with each other through a set of labeled directed straight lines for representing the relationship between the nodes, that is, for representing the relationship between BIM components in terms of time, space, system category, component category and the like. And determining the incidence relation among the components according to the incidence analysis result, and constructing a semantic network corresponding to the target BIM according to the identification information of the components and the incidence relation among the components.
The directional straight-line upper-band mark IN the semantic network constructed BY the embodiment of the application can use the mark "IS _ IN _ SPACE" TO represent that the mark IS IN SPACE, "IS _ ON" TO represent that the mark IS ON a certain floor, "FLOWS _ TO" TO a certain SPACE, "bound _ BY" TO represent that the mark IS enclosed, "from" a certain room, "from" TO "a certain room," HOSTIN "TO which the mark IS attached," UPOF "above the mark," downf "below the mark," LINKWITH "TO represent that the marks are adjacent," intersectantness "TO represent that the marks intersect, and the like. As marked as "IS _ IN _ SPACE" on the directed straight line between "Elbow (Elbow 1)" and "conference room 1" IN fig. 2, it indicates that "Elbow (Elbow 1)" IS IN the SPACE "conference room 1". The embodiment of the application does not limit the form of the mark used for representing the association relationship between the components in the semantic network, and a person skilled in the art can determine the mark according to actual needs.
And 104, when a component grouping query request is received, carrying out BIM component grouping according to the semantic network corresponding to the target BIM model.
Illustratively, the component grouping query request is to perform query operation on the components according to the groups, and when the component grouping query request is received, the association components are determined and then are coded into corresponding groups by analyzing the semantic network corresponding to the BIM model.
The BIM model component grouping method obtains a relevance analysis result by carrying out relevance analysis on identification information of each component contained in attribute information constructed in a target BIM and relevance information used for representing the relevance relation between the component and other components, constructs a semantic network corresponding to the target BIM according to the identification information and the relevance analysis result of the components in the target BIM, and carries out BIM component grouping according to the semantic network corresponding to the BIM when a component grouping query request is received. The method combines the BIM model with the semantic network, constructs the semantic network corresponding to the target BIM model according to the identification information and the relevance analysis result of the components in the target BIM model, and analyzes the semantic network corresponding to the BIM model to realize different dynamic grouping of different attribute requirements of the BIM components, thereby improving the grouping efficiency of the BIM components and facilitating the subsequent grouping query work.
As an optional embodiment of the present invention, the constructing a semantic network corresponding to the target BIM model according to the identification information of the components in the target BIM model and the correlation analysis result includes: and taking the identification information of the member as a node, taking the correlation analysis result as a directed connection line, and constructing to obtain a semantic network corresponding to the target BIM according to the node and the directed connection line.
Exemplarily, the identification information of the components IN the target BIM IS used as nodes, the correlation analysis result IS used as a directed connection line, and a semantic network corresponding TO the target BIM model IS constructed, for example, the semantic network corresponding TO the components of a certain SPACE IS shown IN fig. 2, where "IS _ IN _ SPACE" indicates that the SPACE IS IN the SPACE, and "HYDRONIC _ FLOW _ TO" indicates that the water supply and drainage components FLOW, for example, the pipe 1 IS IN the conference room 1, and the pipe 1 drains water TO the elbow 1. In the embodiment of the present application, different colors can be used in the semantic network to represent different classes of nodes, for example, the pipes (pipe 1, pipe 2, pipe 3 \8230;) are represented by green, and the elbows (Elbow 1, elbow2 \8230;) are represented by blue. In this embodiment, the identification information of the component is used as a node, and the correlation analysis result is used as a directed connection line to construct a semantic network corresponding to the target BIM model, so that the BIM construction is grouped according to the semantic network corresponding to the target BIM model in the following process.
As an optional embodiment of the present invention, when a received component grouping query request is received, performing BIM component grouping according to a semantic network corresponding to the target BIM model, including: when a component grouping query request is received, determining whether a component grouping to be queried by the component grouping query request is a first type component grouping; when the component grouping query request requires that the component grouping to be queried is a first type component grouping, pre-stored grouping codes are obtained from the component attributes of the target BIM model, and component grouping query operation is carried out according to the obtained grouping codes.
For example, the first type component group may be any component group in the target BIM model that contains a group code in advance, for example, a group code is generally preset in a component attribute of a corresponding component in a more common component group in the BIM model, and a component group to be queried is queried according to an obtained group code query request. And the first type component group in the target BIM is inquired according to the pre-stored group code, so that the efficiency of component group inquiry is improved.
And when the component group to be queried of the component query request is a second type component group, responding to a semantic network corresponding to the target BIM model to perform BIM component group operation, wherein the use frequency of components contained in the first type component group is greater than that of components contained in the second type component group. Illustratively, the second type component grouping may be a component grouping that does not contain a grouping code in the target BIM model in advance. In the embodiment of the application, the members in some common first-type member groups with higher use frequency in the BIM model are subjected to block coding in advance and stored in the corresponding member attributes, and for a second-type member group without the block coding stored, the constructed semantic network is subjected to semantic association analysis to meet the member grouping requirement in a new member query request, so that the BIM model members are dynamically grouped.
As an optional embodiment of the present invention, when the component group to be queried by the component group query request is a second-type component group, responding to the semantic network corresponding to the target BIM model to perform the operation of BIM component group, including: performing semantic relation query according to attribute information of nodes in a semantic network corresponding to the target BIM model and associated information of the directed connection lines; and performing grouping operation on the components in the target BIM according to the semantic relation query result to obtain a second type component group.
Exemplarily, the attribute information of the node may include, but is not limited to, information such as a category and an identifier of the component, the association information of the directional connection line may include, but is not limited to, an association relationship between nodes connected by the directional connection line, and BIM component grouping may be performed according to a component grouping requirement in the received component query request in combination with association information of the node and the directional connection line in the semantic network; for example, when the grouping rule is to group all connected pipe structures into one group, the node attribute information having the interconnection relationship is divided into one group for the pipe structures according to the attribute information of the node and the association information of the directional connection line.
As an optional embodiment of the present invention, after constructing a semantic network corresponding to the target BIM model according to the identification information of the components in the target BIM model and the correlation analysis result, the method further includes: and storing the semantic network corresponding to the target BIM into a graph database.
The graph database is a data management system which takes point and edge as a base storage unit and takes efficient storage and query of graph data as a design principle. In the embodiment of the application, the semantic relation of the components is analyzed through the API of Revit, and the relation obtained through analysis is stored in a graph database to form a semantic network. Graph database-based relational query can efficiently obtain different groups such as a component set of a certain space, a component set of a certain system and the like. The development of other functions except the functions provided by the Revit software needs secondary development through a Revit API interface, if an external database is needed, a relational database is usually added, and for complex multi-level relational query, if the API is analyzed or the relational database is queried every time, the efficiency is low. The query based on the graph database has high query efficiency on the relationship, and complex analysis can be performed based on a graph algorithm, such as shortest path analysis, discovery of relationship dense components through a community detection algorithm, query of key nodes through a centrality algorithm, and the like.
As an optional embodiment of the present invention, after performing a grouping operation on components in the target BIM model according to a semantic relationship query result to obtain a second type component group, the method further includes: encoding components contained in the second type component group in the target BIM model according to the second type component group of the components and the identification information of the components in the target BIM model; and storing the encoding result into the component attribute of the second-type component grouping corresponding component of the target BIM model.
In the embodiment of the present application, the block coding mainly refers to coding the components in a group after dividing a batch of components into a certain group according to space, category, attribute, and the like, the block coding may code the components divided into a certain group according to a construction time period, an installation or removal time period, and the like, specifically, a coding result may be stored in a component attribute through a user operation or a secondary development program of Revit software, and the block may be quickly queried through the coding subsequently. For the packet without the stored packet code, the association between each node in the knowledge graph can be analyzed, and the new packet rule is queried, so that the dynamic packet processing and/or the segmentation processing can be performed. In the embodiment of the application, the spatial correlation, the temporal correlation and the correlation of other different attributes can be analyzed and constructed through a plug-in, such as a program in running and Revit software written through a Revit API, and the components in the target BIM model can be grouped and segmented for different purposes according to the semantic network, so that flexible grouping can be performed. For example, the water discharge member in the space, the water supply member in the space, the air discharge member in the space, and the like may be grouped, or the grouping results may be combined. The grouping coding result and the segmentation coding result can be stored in the corresponding member as the member attribute according to the coding rule, and the member grouping query can be carried out according to the stored grouping coding and/or segmentation coding.
The sectional coding and the block coding in the embodiment of the application can be composed of space coding, component types, component attributes and the like, for example, L02R001 represents all components in the room 001 in the floor 02, L02R001P represents all pipeline components in the room 001 in the floor 02, and the like. By the method provided by the embodiment, the building blocks in the target BIM model are subjected to block coding, and the grouping of the BIM building blocks can be inquired subsequently according to the block coding, so that the efficiency of building block inquiry is improved. The BIM model of large-scale building engineering is complex, comprises a plurality of members of different specialties such as buildings, structures, electromechanics and the like, and takes a drainage system member in a certain space as an example, an operator needs to position the space through view operation, then identifies and selects the drainage system member, and the operation is complex and easy to be wrong. The plug-in analyzes the correlation attributes such as space, time and the like among the BIM components, so that the operation of searching the components by modeling personnel through three-dimensional view operation and the like can be greatly reduced, and the error probability in grouping and segmenting is also greatly reduced. And storing the coding result into the component attribute of the component corresponding to the second type component group of the target BIM model, facilitating subsequent quick retrieval, and directly querying the second type component group in the target BIM model according to the coding.
The embodiment of the invention also discloses a BIM model component grouping device, as shown in FIG. 3, the device comprises: the method comprises the following steps: an obtaining module 201, configured to obtain attribute information of a component in a target BIM model, where the attribute information includes identification information of each component and association information used for representing an association relationship between the component and another component; the analysis module 202 is configured to analyze the target relevance between the components in the target BIM model according to the relevance information to obtain a relevance analysis result; the building module 203 is configured to build a semantic network corresponding to the target BIM model according to the identification information of the components in the target BIM model and the correlation analysis result; and the grouping module 204 is configured to, when a component grouping query request is received, perform BIM component grouping according to the semantic network corresponding to the BIM model.
The BIM model component grouping device provided by the invention obtains a correlation analysis result by performing correlation analysis on identification information of each component contained in attribute information constructed in a target BIM and correlation information used for representing correlation between the component and other components, constructs a semantic network corresponding to the target BIM according to the identification information and the correlation analysis result of the components in the target BIM, and performs BIM component grouping according to the semantic network corresponding to the BIM when a component grouping query request is received. The method combines the BIM model with the semantic network, constructs the semantic network corresponding to the target BIM model according to the identification information and the relevance analysis result of the components in the target BIM model, and analyzes the semantic network corresponding to the BIM model to realize different dynamic grouping of different attribute requirements of the BIM components, thereby improving the grouping efficiency of the BIM components and facilitating the subsequent grouping query work.
As an optional embodiment of the present invention, the building module includes: and the construction submodule is used for taking the identification information of the component as a node, taking the correlation analysis result as a directed connection line, and constructing to obtain a semantic network corresponding to the target BIM model according to the node and the directed connection line.
As an optional embodiment of the present invention, the grouping module includes: the determining sub-module is used for determining whether the component group to be queried by the component group query request is a first type component group or not when the component group query request is received; the query submodule is used for acquiring a pre-stored block code in the member attribute of the target BIM model and performing member group query operation according to the acquired block code when the member group to be queried of the member group query request is a first type member group; and the response sub-module is used for responding to the operation of performing the BIM component grouping according to the semantic network corresponding to the target BIM model when the component grouping query request requires that the component grouping to be queried is a second type component grouping, wherein the use frequency of the components contained in the first type component grouping is greater than that of the components contained in the second type component grouping.
As an optional embodiment of the present invention, the response sub-module further includes: the query submodule is used for performing semantic relation query according to the attribute information of the nodes in the semantic network corresponding to the target BIM model and the associated information of the directed connecting lines; and the grouping sub-module is used for carrying out grouping operation on the components in the target BIM according to the semantic relation query result to obtain a second type component grouping.
As an optional embodiment of the present invention, the apparatus further comprises: and the storage module is used for storing the semantic network corresponding to the target BIM model into the graph database.
As an optional embodiment of the present invention, the response sub-module includes: coding components contained in the second type component group in the target BIM model according to the second type component group and the identification information of the components in the target BIM model; and storing the encoding result into the component attribute of the component corresponding to the second type component group of the target BIM model.
An embodiment of the present invention further provides an electronic device, as shown in fig. 4, the electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected by a bus or in another manner, and fig. 4 takes the connection by the bus as an example.
The memory 402, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the BIM model component grouping method in embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the BIM model component grouping method in the above-described method embodiments.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 401, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to processor 401 over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 402 and, when executed by the processor 401, perform the BIM model building block grouping method in the embodiment shown in FIG. 1.
The details of the electronic device may be understood with reference to the corresponding description and effects in the embodiment shown in fig. 1, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk Drive (Hard Disk Drive, abbreviated as HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A BIM model component grouping method is characterized by comprising the following steps:
acquiring attribute information of components in a target BIM model, wherein the attribute information comprises identification information of each component and association information used for representing association relation between the component and other components;
analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result;
constructing a semantic network corresponding to the target BIM according to the identification information of the components in the target BIM and the correlation analysis result;
and when a component grouping query request is received, carrying out BIM component grouping according to the semantic network corresponding to the target BIM model.
2. The method according to claim 1, wherein constructing a semantic network corresponding to the target BIM model according to the identification information of the components in the target BIM model and the correlation analysis result comprises:
and taking the identification information of the member as a node, taking the correlation analysis result as a directed connection line, and constructing to obtain a semantic network corresponding to the target BIM according to the node and the directed connection line.
3. The method according to claim 1, wherein the performing BIM building block grouping according to the semantic network corresponding to the target BIM model when the received building block grouping query request is received comprises:
when a component grouping query request is received, determining whether a component grouping to be queried by the component grouping query request is a first type component grouping;
when the component group to be queried of the component group query request is a first type component group, acquiring a pre-stored group code in the component attribute of the target BIM model and performing component group query operation according to the acquired group code;
and when the component grouping query request indicates that the component grouping to be queried is a second type component grouping, responding to a semantic network corresponding to the target BIM model to perform BIM component grouping operation, wherein the use frequency of components contained in the first type component grouping is greater than that of the components contained in the second type component grouping.
4. The method according to claim 3, wherein when the component group to be queried by the component group query request is a second type component group, performing BIM component grouping operation in response to the semantic network corresponding to the target BIM model comprises:
performing semantic relation query according to attribute information of nodes in a semantic network corresponding to the target BIM model and associated information of the directed connection lines;
and performing grouping operation on the components in the target BIM according to the semantic relation query result to obtain a second type component group.
5. The method according to claim 1, wherein after constructing the semantic network corresponding to the target BIM model according to the identification information of the members in the target BIM model and the result of the relevance analysis, the method further comprises:
and storing the semantic network corresponding to the target BIM into a graph database.
6. The method according to claim 4, wherein after the grouping operation is performed on the components in the target BIM according to the semantic relationship query result to obtain the second type component group, the method further comprises:
encoding components contained in the second type component group in the target BIM model according to the second type component group and the identification information of the components in the target BIM model;
and storing the encoding result into the component attribute of the component corresponding to the second type component group of the target BIM model.
7. A BIM model component grouping apparatus, comprising:
the acquisition module is used for acquiring attribute information of the components in the target BIM model, wherein the attribute information comprises identification information of each component and association information used for representing association relations between the components and other components;
the analysis module is used for analyzing the target relevance among the components in the target BIM model according to the relevance information to obtain a relevance analysis result;
the building module is used for building a semantic network corresponding to the target BIM model according to the identification information of the components in the target BIM model and the correlation analysis result when a received component grouping query request is received;
and the grouping module is used for grouping the BIM components according to the semantic network corresponding to the BIM model when receiving the component grouping query request.
8. The apparatus of claim 7, wherein the building block comprises:
and the construction sub-module is used for taking the identification information of the component as a node, taking the correlation analysis result as a directed connection line, and constructing and obtaining a semantic network corresponding to the target BIM model according to the node and the directed connection line.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the BIM model component grouping method of any of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the BIM model component grouping method according to any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116030486A (en) * | 2023-02-20 | 2023-04-28 | 中国建筑西南设计研究院有限公司 | Component characteristic data extraction method and device, electronic equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116030486A (en) * | 2023-02-20 | 2023-04-28 | 中国建筑西南设计研究院有限公司 | Component characteristic data extraction method and device, electronic equipment and storage medium |
| CN116030486B (en) * | 2023-02-20 | 2024-02-09 | 中国建筑西南设计研究院有限公司 | Component characteristic data extraction method and device, electronic equipment and storage medium |
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