CN118484580B - BIM-based bridge state information analysis method and system - Google Patents
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Abstract
The application provides a bridge state information analysis method and system based on BIM, aiming at more effectively evaluating and managing the state of a bridge. Firstly, according to BIM bridge data retrieval instructions, carrying out data correlation analysis on a specific bridge BIM model, and identifying and generating related bridge components. And then, constructing two hierarchical information trees by utilizing the target bridge BIM model and the characteristic data of the associated components, wherein the two hierarchical information trees respectively represent the detailed information of the whole bridge and the associated components. Through the information trees, a plurality of bridge state description vectors are further generated, and the bridge state description vectors can comprehensively reflect the states of bridges and components thereof. And finally, carrying out similarity analysis on the bridge state description vectors to obtain the association degree between the bridge state description vectors, and grouping the bridge state description vectors according to the association degree. The beneficial effects of the application are as follows: the intelligent grouping of the bridge BIM model is realized, classification management is facilitated, and the efficiency and pertinence of bridge maintenance and management are improved. Therefore, accurate and efficient analysis of bridge state information, hierarchical information representation, quantized state description and intelligent grouping management are realized, and technical support is provided for bridge maintenance and management.
Description
Technical Field
The application relates to the technical field of building information models, in particular to a bridge state information analysis method and system based on BIM.
Background
With the rapid development of bridge construction, the complexity and the scale of bridge structures are increasing, and the traditional bridge state information analysis method is difficult to meet the requirements of modern bridge management. In the past, the recording and analysis of bridge information mainly depend on paper documents and manual inspection, and the method is not only low in efficiency, but also easy to cause the problems of inaccurate data recording, fragmented information and the like. In addition, the traditional bridge state evaluation method is often based on qualitative analysis, and lacks quantitative and systematic evaluation means, so that the judgment of the bridge state has larger subjectivity and uncertainty.
In recent years, although Computer Aided Design (CAD) software has improved the efficiency of design and analysis to some extent, these software generally only provide two-dimensional drawings and limited three-dimensional models, and it is difficult to fully and intuitively display the detailed state of the bridge. In addition, the traditional CAD software has obvious defects in the aspects of data relevance, information sharing and cooperative work, and cannot effectively support the information management of the full life cycle of the bridge.
The advent of Building Information Model (BIM) technology has provided new possibilities for bridge status information analysis. The BIM technology realizes integration and sharing of information of each stage of bridge design, construction, operation and the like in a digital mode. However, the existing bridge state information analysis method based on BIM still faces some challenges, such as how to efficiently retrieve and associate related information from massive BIM data, how to quantitatively describe and evaluate the bridge state, how to implement intelligent grouping and management of bridge information, and the like.
Disclosure of Invention
Therefore, the application aims to provide a bridge state information analysis method and system based on BIM, which aims to realize comprehensive integration and efficient analysis of bridge information by BIM technology and provide more accurate and timely data support for bridge maintenance and management.
According to a first aspect of the present application, there is provided a bridge status information analysis method based on BIM, the method comprising:
based on BIM bridge data retrieval instructions, performing data correlation analysis on a target bridge BIM model specified by the BIM bridge data retrieval instructions to generate a correlation bridge member;
generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the target bridge BIM model and the member characteristic data of the associated bridge member;
generating a plurality of bridge state description vectors according to the first hierarchical information tree and the second hierarchical information tree;
And carrying out similarity analysis on each bridge state description vector to obtain relevance information, and distributing each bridge state description vector according to the relevance information to generate a bridge BIM model group corresponding to the target bridge BIM model.
In a possible implementation manner of the first aspect, the generating, according to the component characteristic data of the target bridge BIM model and the associated bridge component, a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge component includes:
Retrieving component attribute data associated with the target bridge BIM model in each preset BIM database, and taking each component attribute data as first component characteristic data of the target bridge BIM model;
Retrieving component attribute data associated with the associated bridge components in each preset BIM database, and taking each component attribute data as second component characteristic data of the associated bridge components;
And generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the first member characteristic data and the second member characteristic data.
In a possible implementation manner of the first aspect, the generating the first hierarchical information tree of the target bridge BIM model and the second hierarchical information tree of the associated bridge component according to the first component feature data and the second component feature data includes:
Feature screening is carried out on the first component feature data, and screened first component feature data is generated;
feature screening is carried out on the second component feature data, and screened second component feature data is generated;
Generating a first hierarchical information tree corresponding to the target bridge BIM based on the screened first component characteristic data, and generating a second hierarchical information tree corresponding to the associated bridge component based on the screened second component characteristic data.
In a possible implementation manner of the first aspect, the feature screening the first component feature data, generating screened first component feature data includes:
removing first type attribute information or second type attribute information from the first component feature data;
polling each component characteristic data in the first component characteristic data, and removing a target model interaction vector contained in each component characteristic data; the target model interaction vector is a model interaction field corresponding to the target bridge BIM model;
converting the feature vector sequence in the first component feature data into a target vector sequence to generate a candidate screening vector sequence;
And blocking each component characteristic data in the candidate screening vector sequence to generate the screened first component characteristic data.
In a possible implementation manner of the first aspect, the generating a first hierarchical information tree corresponding to the target bridge BIM model based on the screened first component feature data, and generating a second hierarchical information tree corresponding to the associated bridge component based on the screened second component feature data includes:
constructing an organization relation of each layering information tree in the screened first component characteristic data based on the association relation, and outputting a first layering information tree corresponding to the target bridge BIM;
And constructing an organization relation of each layering information tree in the screened second member characteristic data based on the association relation, and outputting a second layering information tree corresponding to the association bridge member.
In one possible implementation of the first aspect, the associated bridge member comprises a first associated bridge member, a second associated bridge member, a third associated bridge member and a fourth associated bridge member;
The BIM data retrieval instruction is used for specifying a target bridge BIM model, carrying out data correlation analysis on the target bridge BIM model, and generating a correlation bridge member, wherein the correlation bridge member comprises at least one of the following components:
Acquiring entity component information of the target bridge BIM model, and carrying out component association with an entity component on the target bridge BIM model according to the entity component information to generate the first association bridge component; or alternatively
Obtaining model node information of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the model node information to generate a second association bridge component; or alternatively
Obtaining design unit information of the target bridge BIM model, and carrying out component association with a design unit on the target bridge BIM model according to the design unit information to generate a third association bridge component; or alternatively
And carrying out logic connection configuration on the target bridge BIM model according to the logic connection of the target bridge BIM model, and generating the fourth associated bridge member.
In a possible implementation manner of the first aspect, the model node information includes a structure connection point and a spatial positioning point;
The obtaining the model node information of the target bridge BIM model, and carrying out component association with the model node on the target bridge BIM model according to the model node information, so as to generate the second association bridge component, comprising:
Acquiring the structural connection point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the structural connection point to generate a second association bridge component; or alternatively
Acquiring the space positioning point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the space positioning point to generate the second association bridge component;
The logic connection configuration is performed on the target bridge BIM model according to the logic connection of the target bridge BIM model, and the generation of the fourth associated bridge member comprises the following steps:
Carrying out supporting relationship association configuration on the target bridge BIM model according to the supporting relationship of the target bridge BIM model to generate the fourth association bridge member; or alternatively
And carrying out connection relation association configuration on the target bridge BIM model according to the connection relation of the target bridge BIM model, and generating the fourth association bridge member.
In a possible implementation manner of the first aspect, the generating a plurality of bridge state description vectors according to the first hierarchical information tree and the second hierarchical information tree includes:
Generating a bridge state description vector of the target bridge BIM model according to the first hierarchical information tree;
and generating bridge state description vectors of the related bridge members according to the second hierarchical information trees.
In a possible implementation manner of the first aspect, the bridge state description vector includes a first bridge state description vector of the target bridge BIM model and at least two bridge state description vectors of the associated bridge member;
Performing similarity analysis on each bridge state description vector to obtain relevance information, and distributing each bridge state description vector according to the relevance information to generate a bridge BIM model group corresponding to the target bridge BIM model, wherein the method comprises the following steps:
respectively calculating the association degree between each two bridge state description vectors in the first bridge state description vector and the at least two bridge state description vectors, and generating a reference association degree;
selecting a target association degree from the reference association degrees, and dividing each bridge state description vector corresponding to the target association degree into the same bridge BIM model group; the bridge BIM model group comprises the first bridge state description vector.
According to a second aspect of the present application, there is provided a bridge status information analysis system based on BIM, the bridge status information analysis system based on BIM includes a machine-readable storage medium storing machine executable instructions and a processor, the processor implementing the aforementioned bridge status information analysis method based on BIM when executing the machine executable instructions.
According to a third aspect of the present application, there is provided a computer-readable storage medium having stored therein computer-executable instructions that, when executed, implement the aforementioned BIM-based bridge state information analysis method.
According to any one of the aspects, the application has the technical effects that:
The method comprises the steps of carrying out data association analysis on a target bridge BIM model through a bridge data retrieval instruction based on BIM, accurately identifying and generating an associated bridge component, then generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge component, generating a bridge state description vector according to the first hierarchical information tree and the second hierarchical information tree, carrying out similarity analysis on each bridge state description vector to obtain association information, and carrying out grouping according to the association information, so that intelligent grouping of the bridge BIM model is realized, classification management is facilitated, and bridge maintenance and management efficiency and pertinence are improved. Therefore, accurate and efficient analysis of bridge state information, hierarchical information representation, quantized state description and intelligent grouping management are realized, and technical support is provided for bridge maintenance and management.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, 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 application 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 flow chart of a bridge status information analysis method based on BIM according to an embodiment of the present application.
Fig. 2 is a schematic component structure diagram of a bridge status information analysis system based on BIM according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are for the purpose of illustration and description only, and are not intended to limit the scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this disclosure, illustrates operations implemented in accordance with some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. In addition, one skilled in the art, under the direction of the present disclosure, may add a plurality of other operations to the flowchart, or may destroy a plurality of operations from the flowchart.
Fig. 1 shows a flow chart of a bridge status information analysis method based on BIM according to the embodiment of the present application, and it should be understood that in other embodiments, the order of part of the steps in the bridge status information analysis method based on BIM according to the present embodiment may be shared with each other according to actual needs, or part of the steps may be omitted or maintained. The bridge state information analysis method based on BIM comprises the following detailed steps:
And step S110, based on the BIM bridge data retrieval instruction, performing data correlation analysis on a target bridge BIM model designated by the BIM bridge data retrieval instruction, and generating a correlation bridge member.
In this embodiment, the bridge status information analysis system based on BIM is used as a server, and receives a BIM bridge data retrieval instruction, where the BIM bridge data retrieval instruction designates a specific bridge BIM model as a target. The server starts to perform data correlation analysis on the target bridge BIM model. For example, the server first identifies all bridge components in the bridge BIM model, such as piers, decks, guardrails, etc., and analyzes the data correlation between the bridge components. For example, the server finds that a bridge pier has a supporting relationship with a specific bridge deck, and thus associates the two bridge members to generate an associated bridge member, and the process may further include analyzing a spatial relationship, a functional relationship, etc. between the bridge members to ensure that all the associated bridge members can be accurately identified.
And step S120, generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the target bridge BIM model and the member characteristic data of the associated bridge member.
In this embodiment, after the associated bridge components are generated, the server begins to collect the target bridge BIM model and component feature data of the associated bridge components, where the component feature data may include dimensions, materials, design parameters, and the like of the components. The server retrieves this information from the pre-set BIM database and collates it into a structured data format. The server then uses these component feature data to generate two hierarchical information trees: one is a first hierarchical information tree of the target bridge BIM model, which shows the relation between the whole structure of the target bridge BIM model and each component; the other is a second hierarchical information tree of associated bridge members, detailing the features and attributes of each associated member.
Step S130, generating a plurality of bridge state description vectors according to the first hierarchical information tree and the second hierarchical information tree.
After determining the first hierarchical information tree and the second hierarchical information tree, the server begins generating bridge state description vectors that mathematically describe the states of the bridge BIM model and associated components based on the data and structures in the hierarchical information tree. For example, a bridge condition description vector may include information about the length, width, material strength, etc. of the deck. The server may generate one such bridge state description vector for the target bridge BIM model and each associated bridge component.
And step S140, carrying out similarity analysis on each bridge state description vector to obtain relevance information, and distributing each bridge state description vector according to the relevance information to generate a bridge BIM model group corresponding to the target bridge BIM model.
And finally, the server performs similarity analysis on the bridge state description vectors. For example, the similarity between these bridge state vectors may be compared to determine which bridge members are closer in state or attribute. Based on this similarity analysis, the server obtains a degree of association information reflecting the degree of association tightness between the bridge members. By utilizing the association degree information, the server groups all bridge state description vectors, and components with high similarity and close association are grouped into the same bridge BIM model, so that the server finishes grouping processing of the target bridge BIM model and the associated components thereof, and convenience is provided for subsequent analysis and management.
Based on the steps, through carrying out data association analysis on a target bridge BIM model based on the bridge data retrieval instruction of the BIM, the associated bridge components can be accurately identified and generated, then a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge components are generated, bridge state description vectors are generated according to the first hierarchical information tree and the second hierarchical information tree, then similarity analysis is carried out on each bridge state description vector to obtain association information, and the association information is grouped according to the association information, so that intelligent grouping of the bridge BIM model is realized, classification management is facilitated, and bridge maintenance and management efficiency and pertinence are improved. Therefore, accurate and efficient analysis of bridge state information, hierarchical information representation, quantized state description and intelligent grouping management are realized, and technical support is provided for bridge maintenance and management.
In one possible implementation, step S120 may include:
step S121, retrieving component attribute data associated with the target bridge BIM model in each preset BIM database, and taking each component attribute data as first component feature data of the target bridge BIM model.
In this embodiment, the server starts to search a preset BIM database for component attribute data associated with the target bridge BIM model, where the component attribute data includes, but is not limited to, dimensions, material types, design loads, construction processes, etc. of each component of the bridge. For example, the server may look up information about pier concrete strength, rebar placement, deck pavement materials, etc. in the database. The server gathers these detailed component attribute data as the first component feature data of the target bridge BIM model.
Step S122, retrieving component attribute data associated with the associated bridge component in each preset BIM database, and taking each component attribute data as second component feature data of the associated bridge component.
The server then continues to retrieve component attribute data associated with the associated bridge component, which likewise encompasses the physical characteristics, functional characteristics, relationships with other components, and the like of the component. Taking the bridge pier as an example, the server can retrieve detailed information such as the shape, the size, the position coordinates of the bridge pier, the connection mode with the bridge deck and the like. For each associated bridge component, the server performs a similar search operation and uses the searched data as second component characteristic data of the component.
Step S123, generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the first member feature data and the second member feature data.
After the first component feature data and the second component feature data are collected, the server begins to build a hierarchical information tree. Firstly, the server can generate a first hierarchical information tree reflecting the overall structure of the model according to the overall structure of the target bridge BIM model and the logical relationship among all the components, the root node of the information tree represents the whole bridge model, and the child nodes represent all the main components such as piers, bridge decks, guardrails and the like. Each node contains all of the characteristic data associated with that component.
The server may then generate a second hierarchical information tree for each associated bridge member that describes the internal structure and features of each member in more detail. For example, for the bridge pier component, the second hierarchical information tree may include subnodes such as a foundation, a pier body, and a top connection of the bridge pier, where each subnode further includes specific attribute data, such as dimensions, materials, design parameters, and the like.
Therefore, the server successfully generates a corresponding first hierarchical information tree and a second hierarchical information tree according to the target bridge BIM model and the component characteristic data of the related bridge components, and the hierarchical information trees provide a powerful data basis for subsequent data analysis, model optimization and decision support.
In one possible implementation, step S123 may include:
And step S1231, performing feature screening on the first component feature data to generate screened first component feature data.
In this embodiment, the server begins processing the first component feature data of the previously retrieved target bridge BIM model, which may contain a large amount of information, but not all of the information is useful for building the hierarchical information tree. Thus, the server may run a specific algorithm or program to perform feature screening.
For example, the server may first filter out duplicate, redundant, or significantly erroneous data. The features are then further filtered based on the importance, relevance, and contribution to building the information tree, which may include the main structural features of the bridge, key physical attributes, design parameters, and so forth. Through this step, the server generates first component characteristic data after screening, and these data will be directly used to construct the first hierarchical information tree of the target bridge BIM model.
And step S1232, performing feature screening on the second component feature data to generate screened second component feature data.
Similar to step S1231, the server now begins processing the second component feature data of the associated bridge component, which again needs to be filtered to remove irrelevant or low value information and retain features critical to building the second hierarchical information tree.
For example, for a particular bridge element (e.g., bridge pier, deck, etc.), the server may screen out characteristic data that is closely related to the element's function, structure, and design, which may include the element's size, material type, load-bearing capacity, connection style, etc. Through the screening process, the server obtains the screened second component characteristic data, and prepares for constructing a second hierarchical information tree in the next step.
Step S1233, generating a first hierarchical information tree corresponding to the target bridge BIM model based on the screened first component feature data, and generating a second hierarchical information tree corresponding to the associated bridge component based on the screened second component feature data.
After feature screening is completed, the server starts to generate a first hierarchical information tree of the target bridge BIM model according to the screened first component feature data, and the first hierarchical information tree graphically displays the relationship between the whole structure of the bridge model and each component. For example, a root node may represent an entire bridge, while a child node represents each of the main components of the bridge, such as a bridge pier, deck, guardrail, etc. Each node contains filtered characteristic data associated with the component.
Meanwhile, the server also generates a second hierarchical information tree for each associated bridge member according to the screened second member characteristic data, and the second hierarchical information tree describes the internal structure and characteristics of each member in more detail. For example, for the bridge pier component, the second hierarchical information tree may include sub-nodes such as a foundation, a pier body, and a top connection of the bridge pier, and each node is attached with specific screened characteristic data.
Therefore, the server successfully utilizes the screened first component characteristic data and second component characteristic data to generate a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the related bridge components, and the hierarchical information trees provide clear and visual visualization tools for bridge design, construction and maintenance.
In one possible embodiment, step S1231 may include:
and step S1231-1, removing the first type attribute information or the second type attribute information from the first component characteristic data.
In this embodiment, the server begins to process first component feature data that includes detailed information for each component in the target bridge BIM model. First, the server may identify and remove the first type of attribute information and the second type of attribute information. The first type of attribute information may include some information not directly related to building the hierarchical information tree, such as creation time, last modification time, etc. of the component. The second type of attribute information may be some ancillary data that has less impact on the model analysis, such as certain specific notes or tags.
For example, the server may remove first-type attribute information such as "designer name", "design date", and second-type attribute information such as "temporary mark", "remark information", which are not necessary for generating the hierarchical information tree, when processing the data of the bridge pier member.
And S1231-2, polling each component characteristic data in the first component characteristic data, and removing the target model interaction vector contained in each component characteristic data. The target model interaction vector is a model interaction field corresponding to the target bridge BIM model.
Next, the server starts polling each of the first component characteristic data. In this process, the server may be particularly concerned with data containing the interaction vector of the object model. The target model interaction vector is a field in the target bridge BIM model that describes the interaction relationship between components or between components and the external environment.
Taking bridge deck members as an example, the characteristic data may include a vector describing how the bridge deck interacts with other members such as piers, guardrails, etc. This information is not necessary when building the hierarchical information tree, so the server can remove these target model interaction vectors from the component feature data.
And step S1231-3, converting the feature vector sequence in the first component feature data into a target vector sequence, and generating a candidate screening vector sequence.
After removing unnecessary attribute information and model interaction vectors, the server begins processing the remaining sequence of feature vectors that contain key attributes of the component, such as dimensions, materials, design loads, etc. To integrate these feature vectors into a unified format for subsequent processing and analysis, the server may convert them into a sequence of target vectors.
For example, the feature vector of the pier element may include "diameter", "height", "concrete strength", and the like. The server can convert the feature vectors according to preset rules and standards to generate a target vector sequence in a unified format.
And S1231-4, partitioning the feature data of each component in the candidate screening vector sequence to generate the screened first component feature data.
And finally, performing blocking processing on the converted target vector sequence (namely the candidate screening vector sequence). The server can group similar component characteristic data into the same block according to the characteristics of the type, the function, the attribute and the like of the components, so that the structure of the hierarchical information tree can be clearer and more orderly.
Taking a bridge as an example, the server can respectively process the characteristic data of different types of members such as piers, bridge decks, guardrails and the like in blocks. Within each block, further subdivision may be performed according to specific attribute characteristics. Through such a partitioning process, the server ultimately generates screened first component feature data that will be directly used to construct the first hierarchical information tree of the target bridge BIM model.
In one possible embodiment, step S1233 may include:
And step S1233-1, constructing an organization relation of each layering information tree in the screened first component characteristic data based on the association relation, and outputting a first layering information tree corresponding to the target bridge BIM model.
In this embodiment, after the screening and processing of the feature data of the first component are completed, the server starts to construct a first hierarchical information tree corresponding to the target bridge BIM model, where the first hierarchical information tree will intuitively display the association relationship between the overall structure of the bridge model and the component.
First, the server may identify individual components in the filtered first component characteristic data, as well as logical relationships between them. For example, bridge piers are important members for supporting a deck, and the deck is connected to other members such as guardrails. The server may determine the location and hierarchy of each node in the information tree based on these relationships.
Next, the server begins building the root node of the first hierarchical information tree, which typically represents the entire bridge model. Then, according to the association relation between the components, the sub-nodes are constructed downwards step by step. For example, piers, bridge decks, guardrails, etc. may appear as child nodes of the root node, and they may be connected according to an actual association relationship.
In the construction process, the server also fills key information in the screened first component characteristic data, such as the size, the material, the design parameters and the like of the components, into the corresponding nodes, so that when a user views the first hierarchical information tree, the user can intuitively know the whole structure of the bridge model and the detailed information of each component.
Finally, after all the nodes and the association relations are built, the server can output the complete first hierarchical information tree for the user to check and analyze.
And step S1233-2, constructing an organization relation of each layering information tree in the screened second member characteristic data based on the association relation, and outputting a second layering information tree corresponding to the association bridge member.
In this embodiment, similar to the construction of the first hierarchical information tree, the server now begins to construct a second hierarchical information tree corresponding to the associated bridge member according to the filtered second member feature data, where the second hierarchical information tree will show the internal structure and features of each associated bridge member more deeply.
First, the server may identify, for each associated bridge element (e.g., bridge pier, deck, etc.), its internal subcomponents and the logical relationship between them. For example, the bridge pier may include a plurality of sub-members, such as a foundation, a pier body, and a top connection, and there is a certain association between the sub-members.
Then, the server can construct a root node for each associated bridge member, and gradually construct sub-nodes downwards according to the association relation of the sub-members. In this process, the server also fills the key information in the filtered second component feature data into the corresponding nodes, so that the user can know the internal structure and features of each component in detail.
After the second hierarchical information tree of all the related bridge members is constructed, the server can output the information tree for the user to perform deeper analysis and research. Through the information tree, a user can clearly know the association relation between each component in the bridge model and the detailed characteristic of each component, so that powerful support is provided for the design, construction and maintenance of the bridge.
In one possible embodiment, the associated bridge member comprises a first associated bridge member, a second associated bridge member, a third associated bridge member, and a fourth associated bridge member.
Step S110 includes at least one of:
A. And acquiring entity component information of the target bridge BIM model, and carrying out component association with the entity component on the target bridge BIM model according to the entity component information to generate the first association bridge component.
In this embodiment, the server first obtains the physical component information of the target bridge BIM model, where the physical component information may include each physical portion of the bridge, such as a bridge pier, a bridge deck, a guardrail, and the like. The server determines the association between these entity components by analyzing the spatial relationships and functional relationships between them. For example, the server may find that a bridge pier has a direct bearing relationship with a particular deck portion, and then associate the two components to form an associated set of members. In this way, the server is able to generate first associated bridge components that are formed based on the direct physical associations between the entity assemblies.
B. And obtaining model node information of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the model node information to generate the second association bridge component.
Next, the server obtains model node information of the target bridge BIM model. The model nodes may represent critical connection points or intersections in bridge structures, such as junctions of bridges and roads, connection points of piers and decks, and the like. The server associates the components associated therewith based on the location and functional characteristics of the nodes. For example, the server may associate all deck portions and piers connected to the same node to form a group of associated members centered on the node, such that the server is able to generate second associated bridge members formed based on the connection relationship of the model nodes.
C. and obtaining the design unit information of the target bridge BIM model, and carrying out component association with a design unit on the target bridge BIM model according to the design unit information to generate the third association bridge component.
In this embodiment, the server continues to obtain the design unit information of the target bridge BIM model. The design unit information may include the name of the design company, the identity of the designer, etc. The server analyzes the information to correlate the components designed by the same design unit. For example, if multiple deck sections are designed by the same design company, the deck sections are correlated to form a set of correlated members on a design unit basis. In this way, the server can generate third associated bridge members that are formed based on the consistency of the design units.
D. and carrying out logic connection configuration on the target bridge BIM model according to the logic connection of the target bridge BIM model, and generating the fourth associated bridge member.
And finally, the server performs logic connection configuration according to the logic connection of the target bridge BIM model. Logical connections can include functional relationships between components, dependencies, and the like. For example, a bridge deck portion may rely on a particular bridge pier to provide support, and this dependency constitutes a logical link. The server associates the related components by analyzing the logical associations to form a logical association-based group of associated components, such that the server is capable of generating fourth associated bridge components configured based on the logical association.
Therefore, the server can perform comprehensive data association analysis on the target bridge BIM model and generate different types of associated bridge members, the associated bridge members are helpful for deeply understanding the structural and functional characteristics of the bridge, and powerful support is provided for subsequent design, construction and maintenance work.
In a possible implementation, the model node information includes structural connection points and spatial localization points.
The obtaining the model node information of the target bridge BIM model, and carrying out component association with the model node on the target bridge BIM model according to the model node information, so as to generate the second association bridge component, comprising:
b1, acquiring the structure connection point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the structure connection point to generate the second association bridge component.
In this embodiment, the server first obtains information about structural connection points in the target bridge BIM model. Structural joints refer to those critical physical joints in bridge models, such as the joints of piers with deck, the joints of bridge spans, etc., which play a critical role in the model because they ensure the integrity and stability of the bridge structure.
The server determines which components are interrelated through these connection points by analyzing these structural connection points. For example, the top of a bridge pier may be a structural joint that connects to a portion of the deck. The server can recognize this connection and associate the two members (bridge pier and deck section) to form a second associated bridge member based on the structural connection point.
And B2, acquiring the space locating point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the space locating point to generate the second association bridge component.
In addition to the structural connection points, the server also obtains spatial location point information in the target bridge BIM model. The space locating points are mainly used for determining the accurate positions of bridge members in a three-dimensional space, such as the bottom center point of a bridge pier, the geometric center of a bridge deck and the like.
By analyzing these spatially localized points, the server can identify components that are spatially adjacent or close and associate them based on the spatial relationship of the points. For example, if the spatial anchor points of two piers indicate that they are in close proximity, the server will associate the two piers as a second associated bridge member.
The logic connection configuration is performed on the target bridge BIM model according to the logic connection of the target bridge BIM model, and the generation of the fourth associated bridge member comprises the following steps:
and D1, carrying out supporting relationship association configuration on the target bridge BIM model according to the supporting relationship of the target bridge BIM model, and generating the fourth association bridge member.
In the target bridge BIM model, various supporting relationships exist between the components, such as bridge piers supporting bridge decks, bridge decks supporting guardrails, etc. The server may analyze these support relationships to find out which components are dependent on other components to provide support.
Through analysis of the supporting relationship, the server can associate the supporting members with the supported members to form a fourth associated bridge member based on the supporting relationship. For example, a bridge pier and deck portion supported thereby may be associated as one such group of members.
And D2, carrying out connection relation association configuration on the target bridge BIM model according to the connection relation of the target bridge BIM model, and generating the fourth association bridge member.
In addition to the support relationships, there are connections, such as bolting, welding, etc., between the bridge members that ensure the overall structural and functional integrity of the bridge.
The server may recognize these connection relationships and associate the members connected to each other by the connection relationships. For example, if two deck sections are bolted together, the two deck sections are correlated as a fourth correlated bridge element based on the connection.
Therefore, the server can comprehensively analyze node information and logic relations in the target bridge BIM model and generate corresponding associated bridge components, and the associated components not only help to understand the structural and functional characteristics of the bridge more deeply, but also provide powerful data support for subsequent design optimization, construction management and maintenance decisions.
In one possible implementation, step S130 may include:
step S131, generating a bridge state description vector of the target bridge BIM model according to the first hierarchical information tree.
Step S132, generating a bridge state description vector of each associated bridge member according to each second hierarchical information tree.
In this embodiment, after the construction of the first hierarchical information tree and the second hierarchical information tree is completed, the server starts generating bridge state description vectors from these information trees, which will be used to quantitatively and qualitatively represent the states of the bridge and its components.
The server first traverses a first hierarchical information tree representing the relationship between the overall structure and the components of the target bridge BIM model. During the traversal process, the server may extract key information for each node, such as component type, size, material, design parameters, health status, etc.
The server may then convert this key information into a numerical form for mathematical calculations and comparison. For example, the health of a component may be represented by a number between 0 and 1, where 0 represents complete damage and 1 represents an entirely new state. Likewise, other properties such as material strength, dimensional deviations, etc. may be converted into corresponding values.
The server may then combine these values into a multi-dimensional vector, namely a bridge state description vector, which not only contains the state information of the bridge as a whole, but also reflects the relevance and relative importance between the individual components.
Finally, the server may store this bridge state description vector for subsequent analysis and comparison. Through this bridge state description vector, engineers can intuitively understand the overall state of the bridge, and which components may require major attention or maintenance.
For each associated bridge component (such as bridge pier, bridge deck, guardrail, etc.), the server generates a bridge state description vector according to the corresponding second hierarchical information tree.
Similar to the process of generating the bridge state description vector of the target bridge BIM model, the server may traverse the second hierarchical information tree, extract key information of each component node, and convert the information into a numerical form.
In contrast, this generated bridge state description vector will be more focused on reflecting the state and characteristics of the individual components. For example, for a pier element, the state description vector may include multiple dimensions of the pier body's concrete strength, crack conditions, degree of rust, etc.
These bridge status description vectors for individual components will provide more refined maintenance and management recommendations for engineers. For example, if the state description vector of a certain pier shows that the concrete strength thereof is severely degraded, an engineer may preferentially reinforce or repair the pier.
Therefore, the server can generate a plurality of bridge state description vectors according to the first hierarchical information tree and the second hierarchical information tree, and the bridge state description vectors are used as important basis for bridge health monitoring and management.
In one possible embodiment, the bridge state description vector includes a first bridge state description vector of the target bridge BIM model and at least two bridge state description vectors of the associated bridge member.
Step S140 may include:
Step S141, calculating the association degree between each two bridge state description vectors in the first bridge state description vector and the at least two bridge state description vectors, respectively, to generate a reference association degree.
After the generation of the bridge state description vectors is completed, the server then needs to perform similarity analysis on these vectors to group them according to their degree of association.
The server firstly obtains a first bridge state description vector of the target bridge BIM model and at least two bridge state description vectors obtained from the associated bridge components, wherein the description vectors represent the states of the bridge or the components in a multi-dimensional numerical form.
Next, the server may utilize a similarity algorithm (e.g., cosine similarity, euclidean distance, etc.) to calculate a degree of association between the first bridge state description vector and the bridge state description vector of each associated bridge member, respectively, which actually reflects the degree of similarity or tightness between the overall state of the target bridge BIM model and the respective associated bridge member states.
For example, if the state description vector of a certain bridge pier is very close to the state description vector of the whole target bridge in multiple dimensions, the degree of correlation between them is high.
Step S142, selecting a target association degree from the reference association degrees, and dividing each bridge state description vector corresponding to the target association degree into the same bridge BIM model group. The bridge BIM model group comprises the first bridge state description vector.
The server may store all the calculated relevance values to form a set of reference relevance values, which will be used as a basis for subsequent groupings.
The server may select one or more target association thresholds from the reference association degrees, where the thresholds may be preset or dynamically adjusted according to actual data.
The server may then traverse all bridge state description vectors, dividing those vectors with a relevance greater than or equal to the target relevance threshold into the same bridge BIM model grouping, which is actually clustering the bridge and component states according to their similarity.
Importantly, each bridge BIM model grouping contains the first bridge state description vector of the target bridge BIM model because the states of all associated bridge components are compared to the target bridge global state.
In this way, the server is able to generate multiple bridge BIM model groupings, with the bridge and component states within each grouping being similar to some extent, which is of great instructive significance for subsequent maintenance, management and risk assessment.
The bridge status information analysis system 100 based on BIM shown in fig. 2 includes: a processor 1001 and a memory 1003. The processor 1001 is coupled to the memory 1003, such as via a bus 1002. Optionally, the bridge status information analysis system 100 based on BIM may further include a transceiver 1004, where the transceiver 1004 may be used for data interaction between the server and other servers, such as transmission of data and/or reception of data. It should be noted that, the transceiver 1004 is not limited to one embodiment in actual scheduling, and the structure of the bridge status information analysis system 100 based on BIM is not limited to the embodiment of the present application.
The Processor 1001 may be a CPU (Central Processing Unit ), general purpose Processor, DSP (DIGITAL SIGNAL Processor, data signal Processor), ASIC (Application SpecificIntegrated Circuit ), FPGA (FieldProgrammable GATE ARRAY, field programmable gate array) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 1001 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 1002 may include a path to transfer information between the components. Bus 1002 may be a PCI (PERIPHERAL COMPONENT INTERCONNECT, peripheral component interconnect standard) bus, or an EISA (ExtendedIndustryStandard Architecture ) bus, or the like. The bus 1002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 2, but not only one bus or one type of bus.
The Memory 1003 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (ELECTRICALLY ERASABLE PROGRAMMABLE READ ONLY MEMORY ), CD-ROM (CompactDiscRead Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium that can be used to carry or store program code and that can be Read by a computer.
The memory 1003 is used for storing program codes for executing the embodiments of the present application and is controlled to be executed by the processor 1001. The processor 1001 is configured to execute the program code stored in the memory 1003 to implement the steps shown in the foregoing method embodiment.
Embodiments of the present application provide a computer readable storage medium having program code stored thereon, which when executed by a processor, implements the steps of the foregoing method embodiments and corresponding content.
It should be understood that, although various operation steps are indicated by arrows in the flowcharts of the embodiments of the present application, the order in which these steps are implemented is not limited to the order indicated by the arrows. In some implementations of embodiments of the application, the implementation steps in the flowcharts may be performed in other orders based on demand, unless explicitly stated herein. Furthermore, depending on the actual implementation scenario, some or all of the steps in the flowcharts may include multiple sub-steps or multiple stages, some or all of which may be performed at the same time, and each of which may be performed at different times, respectively. In the case of different execution timings, the execution order of the sub-steps or stages may be flexibly configured based on requirements, which is not limited by the embodiment of the present application.
The foregoing is merely an optional implementation manner of some of the implementation scenarios of the present application, and it should be noted that, for those skilled in the art, other similar implementation manners according to the technical idea of the present application may be adopted without departing from the technical idea of the solution of the present application, which is also within the protection scope of the embodiments of the present application.
Claims (8)
1. A bridge status information analysis method based on BIM, the method comprising:
based on BIM bridge data retrieval instructions, performing data correlation analysis on a target bridge BIM model specified by the BIM bridge data retrieval instructions to generate a correlation bridge member;
generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the target bridge BIM model and the member characteristic data of the associated bridge member;
generating a plurality of bridge state description vectors according to the first hierarchical information tree and the second hierarchical information tree;
Performing similarity analysis on each bridge state description vector to obtain relevance information, and distributing each bridge state description vector according to the relevance information to generate a bridge BIM model group corresponding to the target bridge BIM model;
The generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the target bridge BIM model and the member feature data of the associated bridge member includes:
Retrieving component attribute data associated with the target bridge BIM model in each preset BIM database, and taking each component attribute data as first component characteristic data of the target bridge BIM model;
Retrieving component attribute data associated with the associated bridge components in each preset BIM database, and taking each component attribute data as second component characteristic data of the associated bridge components;
Generating a first hierarchical information tree of the target bridge BIM model and a second hierarchical information tree of the associated bridge member according to the first member characteristic data and the second member characteristic data;
the bridge state description vector comprises a first bridge state description vector of the target bridge BIM model and at least two bridge state description vectors of the associated bridge member;
Performing similarity analysis on each bridge state description vector to obtain relevance information, and distributing each bridge state description vector according to the relevance information to generate a bridge BIM model group corresponding to the target bridge BIM model, wherein the method comprises the following steps:
respectively calculating the association degree between each two bridge state description vectors in the first bridge state description vector and the at least two bridge state description vectors, and generating a reference association degree;
selecting a target association degree from the reference association degrees, and dividing each bridge state description vector corresponding to the target association degree into the same bridge BIM model group; the bridge BIM model group comprises the first bridge state description vector.
2. The bridge status information analysis method based on BIM according to claim 1, wherein the generating the first hierarchical information tree of the target bridge BIM model and the second hierarchical information tree of the associated bridge member according to the first component feature data and the second component feature data includes:
Feature screening is carried out on the first component feature data, and screened first component feature data is generated;
feature screening is carried out on the second component feature data, and screened second component feature data is generated;
Generating a first hierarchical information tree corresponding to the target bridge BIM based on the screened first component characteristic data, and generating a second hierarchical information tree corresponding to the associated bridge component based on the screened second component characteristic data.
3. The bridge status information analysis method based on BIM according to claim 2, wherein the feature screening of the first component feature data generates screened first component feature data, including:
removing first type attribute information or second type attribute information from the first component feature data;
polling each component characteristic data in the first component characteristic data, and removing a target model interaction vector contained in each component characteristic data; the target model interaction vector is a model interaction field corresponding to the target bridge BIM model;
converting the feature vector sequence in the first component feature data into a target vector sequence to generate a candidate screening vector sequence;
And blocking each component characteristic data in the candidate screening vector sequence to generate the screened first component characteristic data.
4. The bridge status information analysis method based on BIM according to claim 2, wherein the generating a first hierarchical information tree corresponding to the target bridge BIM model based on the screened first component feature data, and generating a second hierarchical information tree corresponding to the associated bridge component based on the screened second component feature data includes:
constructing an organization relation of each layering information tree in the screened first component characteristic data based on the association relation, and outputting a first layering information tree corresponding to the target bridge BIM;
And constructing an organization relation of each layering information tree in the screened second member characteristic data based on the association relation, and outputting a second layering information tree corresponding to the association bridge member.
5. The BIM-based bridge status information analysis method of claim 1, wherein the associated bridge members include a first associated bridge member, a second associated bridge member, a third associated bridge member, and a fourth associated bridge member;
The BIM data retrieval instruction is used for specifying a target bridge BIM model, carrying out data correlation analysis on the target bridge BIM model, and generating a correlation bridge member, wherein the correlation bridge member comprises at least one of the following components:
Acquiring entity component information of the target bridge BIM model, and carrying out component association with an entity component on the target bridge BIM model according to the entity component information to generate the first association bridge component; or alternatively
Obtaining model node information of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the model node information to generate a second association bridge component; or alternatively
Obtaining design unit information of the target bridge BIM model, and carrying out component association with a design unit on the target bridge BIM model according to the design unit information to generate a third association bridge component; or alternatively
And carrying out logic connection configuration on the target bridge BIM model according to the logic connection of the target bridge BIM model, and generating the fourth associated bridge member.
6. The BIM-based bridge status information analysis method of claim 5, wherein the model node information includes structural connection points and spatial localization points;
The obtaining the model node information of the target bridge BIM model, and carrying out component association with the model node on the target bridge BIM model according to the model node information, so as to generate the second association bridge component, comprising:
Acquiring the structural connection point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the structural connection point to generate a second association bridge component; or alternatively
Acquiring the space positioning point of the target bridge BIM model, and carrying out component association with a model node on the target bridge BIM model according to the space positioning point to generate the second association bridge component;
The logic connection configuration is performed on the target bridge BIM model according to the logic connection of the target bridge BIM model, and the generation of the fourth associated bridge member comprises the following steps:
Carrying out supporting relationship association configuration on the target bridge BIM model according to the supporting relationship of the target bridge BIM model to generate the fourth association bridge member; or alternatively
And carrying out connection relation association configuration on the target bridge BIM model according to the connection relation of the target bridge BIM model, and generating the fourth association bridge member.
7. The BIM-based bridge state information analysis method of claim 1, wherein the generating a plurality of bridge state description vectors from the first hierarchical information tree and the second hierarchical information tree includes:
Generating a bridge state description vector of the target bridge BIM model according to the first hierarchical information tree;
and generating bridge state description vectors of the related bridge members according to the second hierarchical information trees.
8. A BIM-based bridge state information analysis system, comprising a processor and a computer readable storage medium storing machine executable instructions that when executed by the processor implement the BIM-based bridge state information analysis method of any one of claims 1 to 7.
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| CN112598319A (en) * | 2020-12-30 | 2021-04-02 | 重庆源道建筑规划设计有限公司 | Intelligent bridge operation and maintenance management method and system based on BIM, computer equipment and storage medium |
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| CN112598319A (en) * | 2020-12-30 | 2021-04-02 | 重庆源道建筑规划设计有限公司 | Intelligent bridge operation and maintenance management method and system based on BIM, computer equipment and storage medium |
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