WO2024108580A1

WO2024108580A1 - Multi-dimensional parameterized city information model construction method and system, and computer device

Info

Publication number: WO2024108580A1
Application number: PCT/CN2022/134454
Authority: WO
Inventors: 陈彪; 包世泰; 陈顺清; 卞明月; 彭欣月
Original assignee: 奥格科技股份有限公司
Priority date: 2022-11-25
Filing date: 2022-11-25
Publication date: 2024-05-30

Abstract

The present invention relates to the technical field of city modeling, and provides a multi-dimensional parameterized city information model construction method and system, and a device. The method comprises: constructing a geometric data structure, and an entity semantics-oriented basic model library; constructing a parameter demodulator for extracting an entity position and a construction parameter from one entity or a group of entities, and converting the extracted entity position and construction parameter into parameter information supporting modeling of other entities; according to the composition logic of a modeling scenario, completing scenario construction step by step in a layered and graded mode; constructing a frame object and child objects of the scenario, and establishing a topological relationship and an association relationship between a parent object/a brother object and each child object; and finding, from the basic model library, a model corresponding to the child object, and performing parameterized modeling. The present invention accurately expresses the spatial positions, form occupation, and spatial relationships of entities, and realizes parameterized conversion and establishment of the entities, so that more accurate topological relationship definition between the entities is achieved, and the modeling speed is increased.

Description

Multidimensional parameterized urban information model construction method, system and computer equipment

Technical Field

The present invention belongs to the technical field of urban modeling, and in particular relates to a method, system and computer equipment for constructing a multi-dimensional parameterized urban information model.

Background technique

City Information Model (CIM) is an emerging technology, an application hotspot and research frontier in the field of digital city/smart city. It is a digital platform and technology that has evolved to the city level based on Building Information Model (BIM). The integration of BIM and GIS has a wide range of application needs and is the basis for refined and intelligent urban management. Both have value and necessity for integration in terms of data structure and application. However, the two have independent modeling methods and data standards, and there are large differences in geometry and semantic information. For example, the 3DGIS standard CityGML uses surfaces to express geometric information, while the IFC standard in the BIM field uses entities to express geometric information. The integration of BIM and GIS is one of the key technologies of CIM technology and platform, and realizing the integrated three-dimensional modeling of BIM and GIS is a fundamental solution.

Traditional 3D modeling technology based on surface representation is generally used to reflect the basic appearance characteristics of a city and can adapt to surface models of any shape; but it also has many disadvantages, including lack of entity semantics, difficulty in expressing topological relationships, difficulty in describing internal information of objects, etc.

BIM modeling technology can supplement the deficiencies of traditional 3D modeling in these aspects, and it is widely used in various construction engineering fields such as buildings and bridges. Each component in the BIM model is a composite model with parameters and behaviors, which is composed of many features. However, under the existing BIM modeling technology, more attention is paid to the modeling parameters of the component itself, and there is not much parametric linkage from the perspective of the relationship between components. Therefore, there are the following shortcomings: 1) BIM standards such as IFC standards are numerous, complex, high in learning cost, and low in efficiency. Topological relationships become virtual objects, which makes conversion easy to lose; 2) BIM modeling technology provides lofting, elevation and other functions to help users reduce repeated modeling and achieve accurate positioning, but it is far from achieving intelligent, batch and fast modeling; 3) Based on secondary development, professional plug-in modules can be provided, but each function is often narrow in scope and requires professional knowledge and multi-tool linkage; 4) When the design plan changes, multiple modifications and integration are required; 5) BIM modeling products are often modeled separately for multiple disciplines, and each discipline is integrated after it is built, which usually leads to component conflicts.

Summary of the invention

In order to solve the defects existing in the prior art, the purpose of the present invention is to provide a multi-dimensional parametric urban information model construction method, system and computer equipment, which accurately express the spatial position, morphological occupation and spatial connection of CIM entities through the digital expression of complex two- and three-dimensional entities and spaces, realize the parametric conversion and establishment of CIM entities, and enable more accurate topological relationship definitions between entities, realize the linkage update, automatic update and integrity update of CIM scenes, and improve the modeling speed.

The method of the present invention is implemented by the following technical solution: A method for constructing a multi-dimensional parameterized urban information model, comprising the following steps:

Constructing a geometric data structure, wherein the geometric bodies of the constructed geometric data structure include points, lines, surfaces and space bodies;

Build a basic model library oriented to entity semantics;

Construct a parameter demodulator to extract entity positions and construction parameters from one entity or a group of entities, and convert the extracted entity positions and construction parameters into parameter information to support modeling of other entities;

According to the composition logic of the modeling scene, the scene is constructed step by step in layers and grades; the constructed scene is a collection of spatial objects, and the inclusion and carrying relationship of entities is expressed in a tree structure; the spatial objects include framework objects, entities, and rule entity groups;

Build the framework object of the scene;

Construct sub-objects of the framework object, and establish the topological relationship between the parent object and the child object, the topological relationship between the child object and the sibling object, the topological relationship between the associated object and the child object, and the association relationship between the parent object and the child object, and between the child object and the sibling object by using the topological relationship between the child object and the existing entity object or according to the parameter demodulator;

Determine whether the space occupied by the sub-object conflicts with that of the rule entity group; if so, the rule entity group is automatically split according to the space occupied by the sub-object;

The corresponding model of the sub-object is found from the basic model library and parameterized modeling is performed.

In a preferred embodiment, the constructed parameter demodulator includes an input module, an output module and a calculation module, wherein the input module is used to obtain input parameters; the calculation module calculates the parameters input by the input module to obtain output parameters; and the output module provides the output parameters calculated by the calculation module for use by other entities.

Further preferably, the parameters are parameters for constructing a geometric model, including numerical values, character strings, geometric data and data structures;

The input parameters of the input module include constant values, parameters of entity objects, and output parameters of other parameter demodulators;

The output parameters of the output module are of numerical type directly used by other entity objects;

According to the algorithm implementation technology of the calculation module, the parameter demodulator is divided into numerical parameter demodulator, geometric topology parameter demodulator and parameter extraction parameter demodulator;

The values of the numerical parameter demodulator include constant values, programmatically calculated values, sequence arrays and dimension reduction values;

The geometric topology parameter demodulator performs spatial topological operations on the geometric body, and the spatial topological operations include:

Linear geometry decomposer, which splits the topological line into several sub-segments or position points;

The surface geometry decomposer splits the topological surface into several topological lines or position points;

The spatial volume geometry decomposer divides the topological spatial volume into several topological surfaces, topological lines or position points;

The spatial buffer unit buffers the linear, surface, and spatial bodies according to the preset distance or image range to obtain new topological geometry;

A bearing surface extraction unit, which establishes a bearing surface of an object and uses the bearing surface as an attachment surface;

The cross-section analysis unit extracts the projection cross-section of a certain space body on a certain surface and obtains a set of line segments;

Topological intersection unit, used to calculate the intersection points of topological geometries;

The parameter extraction type parameter demodulator is used to collect and summarize several parameters. The parameter extraction methods include:

Parameter transfer, extracting a parameter from the first entity and outputting it to the second entity;

Location collection, extracting location parameters of multiple entities according to search rules;

Extract key nodes, mark and extract key position points of the topological space from the topological space, and thus generate new topological geometric data.

In a preferred embodiment, the constructed scene realizes the following functional characteristics through the inclusion and carrying relationship of entities:

The ability to obtain any spatial object and search for the corresponding spatial entity by the entity's name, type or ID;

Obtaining an organizational relationship of a scene, wherein the organizational relationship of the scene includes a child object of an entity and a parent object of the entity;

Obtaining all entity attributes of each entity, wherein the entity attributes include construction geometry parameters, position, and bounding box;

Set the properties and parameter information of any entity in the scene.

In a preferred embodiment, the entity represents a real-world object and has a three-dimensional model expression form;

The framework object represents a carrier in space, has topological characteristics, and manages several sub-objects;

The rule entity group is a virtual management unit, including several entities, and provides specific positions, orientations and other modeling parameters for the entities; the rule entity group dynamically maintains the number and spatial occupancy of several child objects included in the parent object.

In a preferred embodiment, the sub-objects of the construction framework object include:

Get the geometry data and attribute data of the sub-objects of the framework object;

If the child object and the existing entity object can realize parameter transfer, then create a corresponding parameter demodulator according to the implementation logic of parameter transfer, associate the input of the parameter demodulator with the existing entity object whose parameters need to be extracted, and associate the output of the parameter demodulator with the current child object, so as to realize the geometric parameters of the associated object are transferred to the current child object; otherwise, no processing is performed, and the parent object and the child object retain the default containment relationship;

By creating modeling relationships, constraint relationships, and business association relationships, association relationships between parent objects and child objects, and between child objects and sibling objects are established; among them, modeling relationships include opening relationships, constraint relationships include inclusion relationships, connection relationships, coverage relationships, and projection relationships, and business association relationships include link relationships.

Further preferably, if multiple child objects are filled in the parent object space in an orderly manner, a rule entity group is first constructed, and the rule entity group manages several entities, and the number and space occupancy of multiple child objects contained in the parent object are dynamically maintained through the rule entity group.

Preferably, the construction method further comprises: updating the scene model according to the parameter changes of the framework object and the sub-object; the updating of the scene model comprises:

If the parameters of the framework object change, the sub-objects are informed to recalculate the modeling parameters and obtain new space occupation information; the framework object determines whether there is a collision with the sub-object. If there is no collision update, the response parameters are allowed, and the parameter changes are applied to update the model of the framework object and its sub-objects. Otherwise, the conflict is informed or the corresponding parameters are not adjusted.

If a child object moves or a modeling parameter is adjusted, the new space occupation is calculated first, and the parent object is notified to calculate whether there is a collision between the child objects. If there is no collision, the parent object makes corresponding adjustments. If there is a collision, the parent object is notified of the conflict or the corresponding parameters are not adjusted.

The system of the present invention is implemented by the following technical solution: a multi-dimensional parameterized urban information model construction system, comprising the following modules:

A data structure building module is used to build a geometric data structure, and the geometric bodies of the built geometric data structure include points, lines, surfaces and space bodies;

Basic model library construction module, used to build a basic model library oriented to entity semantics;

A parameter demodulator building module, used for building a parameter demodulator, used for extracting entity positions and construction parameters from one entity or a group of entities, and converting the extracted entity positions and construction parameters into parameter information supporting modeling of other entities;

The scene construction module is used to gradually complete the construction of the scene in layers and grades according to the composition logic of the modeling scene; the constructed scene is a collection of spatial objects, and the inclusion and carrying relationship of entities is expressed in a tree structure; the spatial objects include framework objects, entities, and rule entity groups;

An object construction module is used to construct a framework object of a scene; and to construct a sub-object of the framework object, and to establish a topological relationship between a parent object and a child object, a topological relationship between a child object and a sibling object, a topological relationship between an associated object and a child object, and an association relationship between a parent object and a child object, and between a child object and a sibling object by using a topological relationship between the child object and an existing entity object or according to a parameter demodulator;

A parameterization module, used to find the corresponding model of the sub-object from the basic model library and perform parameterized modeling;

The object construction module is also used to determine whether the space occupation of the sub-object conflicts with that of the regular entity group; if the space occupation of the sub-object conflicts with that of the regular entity group, the regular entity group is automatically segmented according to the space occupation of the sub-object.

The computer device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the multi-dimensional parameterized city information model construction method of the present invention is implemented.

Compared with the prior art, the present invention has the following advantages:

1. Through the digital expression of complex two- and three-dimensional entities and spaces, the spatial position, morphological occupation, and spatial connection of CIM entities are accurately expressed, and the parametric conversion and establishment of CIM entities are realized, so that the topological relationship between entities has a more accurate definition, and parameter-based CIM updates are realized, so that CIM scenes have the ability to be driven by geometric parameters and topological parameters.

2. It can effectively organize and manage the entities of CIM scenarios at multiple levels and dimensions, and support index queries based on the hierarchical relationships, entity attributes, and entity association relationships of the scenarios.

3. The constructed model contains rich association relationships. The framework objects and rule entity groups have the capabilities of sub-object management and parameter transmission, which greatly improves the multi-entity management capabilities. The parameter transmission and sharing mechanism can further realize the linkage update, automatic update and integrity update of CIM scenes. The modeling parameters can be obtained from the associated entities through the parameter demodulator, reducing manual interaction and thus improving the modeling speed. The general modeling technology only considers the linkage update of local scenes. After the modeling scheme is adjusted, the scene update range is large and there is a lot of repetitive work.

4. Compared with general modeling technology, the modeling results of the present invention not only have a three-dimensional model, but also have rich semantic information, retain the association relationship during modeling, effectively realize the integration of BIM and GIS, and provide data support for subsequent CIM applications.

5. The present invention provides a set of business processes for reading parameters, calculating parameters, and using parameters from entities, which greatly reduces the requirements for users to handle modeling parameters; this modeling method using association relationships is also easier to understand and simpler to operate. General modeling technology is more concerned with the parameterization of specific components, lacks parameter transfer between components, and is complex to operate.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a flow chart of a method for constructing a multidimensional parameterized urban information model according to an embodiment of the present invention.

FIG2 is a schematic diagram of the composition logic of a parameter demodulator according to an embodiment of the present invention;

FIG3 is a schematic diagram of a coordination mechanism between a scene and a parameter demodulator according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of updating a city information model in an embodiment of the present invention.

Detailed ways

The present invention relates to a parametric expression and dynamic update method of two- and three-dimensional entities and their spatial topological relationships, and is a method and system for constructing a multidimensional parametric urban information model. The present invention is further described below in conjunction with the accompanying drawings and embodiments, but the embodiments of the present invention are not limited to this.

Example 1

In the real world, various entities have strong associations. They are interdependent, support each other, and even have the same or similar parameters. For example, the supports and pipelines in the corridor have the same trend, and the walls of the room and the pipelines and furniture in the wall have a relationship of inclusion and dependence. If these parameters can be reused effectively, it can significantly reduce the tedious, complex, and repetitive work in facility layout, space management, scene component updates, etc.

Therefore, this embodiment starts from two levels: one is to define the digital expression of complex two-dimensional and three-dimensional entities and spaces, and the other is to realize parametric modeling and establish a multi-dimensional parametric urban information model construction method. Specifically, it includes defining a two-dimensional and three-dimensional integrated geometric data structure, adopting a top-down modeling strategy, and forming a multi-dimensional association and linkage update modeling mechanism by transferring component modeling parameters; it can greatly improve modeling efficiency, have ease of use and intuitiveness of operation, and have scene linkage and automatic update, and its modeling results have good semantic characteristics.

This embodiment forms a set of urban information model construction methods that flexibly transmit entity modeling parameters based on the association relationship between entities. The method mainly establishes a hierarchical classification management mechanism and a multi-level message transmission mechanism for entities based on scenes, and realizes the parameter information sharing of entities based on parameter demodulators, so as to realize accurate, fast, self-resolving conflict entity space occupation and fast responsive update of scenes; its core includes building a set of two-dimensional and three-dimensional integrated geometric data structures, a parameterized CIM basic model library and various types of parameter demodulators.

Specifically, as shown in FIG1 , the method for constructing a multi-dimensional parameterized city information model in this embodiment includes the following steps:

S1. Construct a two-dimensional and three-dimensional integrated geometric data structure, where the constructed geometric data structure includes geometric bodies such as points, lines, surfaces and space bodies.

S2. Construct a CIM basic model library oriented to entity semantics. The constructed CIM basic model library is a CIM entity template library, and the geometry of its three-dimensional model is generated by CSG modeling technology driven by construction geometry parameters.

S3. Construct a set of parameter demodulators to extract entity positions and construction parameters from one entity or a group of entities, and convert the extracted entity positions and construction parameters into parameter information that supports modeling of other entities through numerical calculations, geometric calculations and other methods.

The constructed parameter demodulator includes an input module, an output module and a calculation module, wherein the input module is used to obtain input parameters from places including associated entities; the calculation module calculates the parameters input by the input module to obtain output parameters; and the output module provides the output parameters calculated by the calculation module for use by other entities. The number of parameters input and output by the parameter demodulator is determined by the algorithm module. The parameters are mainly parameters for constructing geometric models, which can be numerical values, strings, geometric data, or complex data structures, such as data structures composed of handles of other parameter demodulators and names of output attributes. The composition logic of the parameter demodulator is shown in Figure 2.

In this embodiment, the input module of the parameter demodulator includes multiple inputs, and the specific types are as follows:

1) Constant value: It can be a specific value entered by the user.

2) Entity object parameters: You can search for entity objects in the scene by using keywords such as entity object name, type, ID, etc. Since the parameters of entity objects are public, you can obtain the parameters of entity objects through API and interface methods.

3) Output parameters of other parameter demodulators: obtained from the output parameters of other parameter demodulators.

Take the parameters of building a 5-meter wall as an example, as shown in Table 1:

Table I

The output module of the parameter demodulator can output one or more parameters. The output parameter is generally a numeric type and can be directly used by other entity objects. The output parameter can also be obtained through the interface (interface name: getOutputByName(String outProperityName)) to achieve dynamic update.

The calculation module of the parameter demodulator performs calculations according to a preset algorithm. According to the algorithm implementation technology of the calculation module, the parameter demodulator can be classified into numerical parameter demodulators, geometric topology parameter demodulators, and parameter extraction parameter demodulators.

Among them, the calculation module of the numerical parameter demodulator is implemented based on numerical values, and the numerical values include the following types:

1) Constant value. Provides fixed parameters for elevation, axis, etc.

2) Programmatic calculation of values. Provides numerical calculation methods, such as trigonometric functions.

3) Sequence array: Provides random values and arrays arranged according to predetermined rules.

4) Reduced dimensionality values: Extract reduced dimensionality values from multi-dimensional values, such as extracting the Z coordinate from a three-dimensional space point.

5) Other types, such as providing expressions combining ratios and numbers.

In this embodiment, the geometric topology parameter demodulator performs spatial topological operations on geometric bodies such as points, lines, surfaces, and spatial bodies. The spatial topological operations include the following types:

1) Linear geometry decomposer: It can split the topological line into several sub-segments or position points.

2) Planar geometry decomposer: It can split the topological surface into several topological lines or position points.

3) Spatial geometry decomposer: It can split the topological spatial body into several topological surfaces, topological lines or position points.

4) Spatial buffer unit: Lines, surfaces, and spatial bodies can be buffered according to a preset distance or image range to obtain new topological geometry.

5) Bearing surface extraction unit: Create a bearing surface for an object, which can be used as an attachment surface.

6) Cross-section analysis unit: Extract the projection cross section of a certain space body on a certain surface to obtain a set of line segments.

7) Topological intersection unit: Calculate the intersection points of topological geometries based on topological geometries such as line segments and line segments.

8) Other topological algorithms.

In this embodiment, the parameter extraction type parameter demodulator is used to collect and summarize a number of parameters. The parameter extraction methods include the following types:

1) Parameter transfer: Extract a parameter from the first entity A and output it to the second entity B.

2) Location collection: Extract location parameters of multiple entities according to search rules (such as by entity type).

3) Extract key nodes. The key position points of the topological space can be marked and extracted from topological lines, topological surfaces, topological points, etc., to generate new topological geometric data.

4) Other parameter extraction algorithms.

S4. According to the composition logic of the modeling scene, the scene is constructed step by step in layers and grades. The constructed scene includes a management framework composed of several spatial objects, which is a collection of spatial objects; wherein the spatial objects include framework objects, entities, rule entity groups and other types.

The scenario constructed in this step expresses the inclusion and carrying relationship of entities in a tree structure, and realizes the following functional characteristics through the inclusion and carrying relationship of entities:

1) The ability to obtain any spatial object, such as searching for the corresponding spatial entity by the entity name (SelectByName), type (SelectByType) or ID (SelectByID).

2) Obtaining the organizational relationship of the scene, where the organizational relationship of the scene includes the child object of the entity, the parent object of the entity, and the like.

3) Obtain all entity attributes of each entity, including construction geometry parameters, position, and bounding box.

4) Set the properties, parameters and other information of any entity in the scene.

In the scene constructed in this step, each tree node of the tree structure corresponds to a space object (SpaceObject). The specific forms of space objects (SpaceObject) include framework objects, rule entity groups, and entities, all of which have spatial positions and spatial ranges. The basic attribute definitions are shown in Table 2.

Table II

Among them, entity represents a real-world object, has a three-dimensional model expression, inherits the spatial object and extends the properties shown in Table 3.

Table 3

The frame object (FrameObject) represents a carrier in space, has certain topological characteristics (such as closure and topological stability), and manages several sub-objects. The frame object can be a virtual carrier (such as a room) or a specific three-dimensional model expression; it inherits the definition of the entity and extends the properties shown in Table 4.

Table 4

属性Attributes	属性类型Property Type	备注Remark
子对象集(Children)Children	SpaceObject[]SpaceObject[]	可以包含若干子对象Can contain several sub-objects

A Ruled Entity Group is a virtual management unit that contains several entities and provides specific locations, orientations, and other modeling parameters for these entities. It is generally used to manage entities arranged according to certain rules, such as pipelines that have topological relationships and are segmented. The construction geometry parameters of a Ruled Entity Group are often multi-line segments, polygons, spatial bodies, etc., rather than a spatial location point; a Ruled Entity Group can dynamically maintain the number and spatial occupancy of several child objects included in the parent object, inherit the definition of the spatial object, and extend the properties shown in Table 5.

Table 5

属性Attributes	属性类型Property Type	备注Remark
参数解调器IDParameter demodulator ID	IntegerInteger	指向一个参数解调器Points to a parametric demodulator
子对象集(Children)Children	SpaceObject[]SpaceObject[]	可以包含若干子对象Can contain several sub-objects

S5. Construct a framework object of the scene. If the framework object is not a virtual object, establish a three-dimensional model of the framework object; if the framework object is a virtual object, add a node to the tree structure of the scene (also called a scene tree).

According to the complexity of the scene, the scene can contain one or more framework objects. The geometric data and attribute data of the framework object can be obtained through data analysis such as CAD and SHP or user drawing, and the geometric model finds the corresponding model from the basic model library and models it parametrically.

S6. Construct child objects of the framework object, establish the topological relationship between the parent object and the child object, the topological relationship between the child object and the sibling object, the topological relationship between the associated object and the child object, and the association relationship between the parent object and the child object, and the child object and the sibling object, and add them to the corresponding nodes of the scene tree.

Each frame object and its sub-objects are constructed as spatial objects. A sub-object can be a specific entity object, which no longer contains other sub-objects; or it can be a frame object (i.e., a parent object), which still contains sub-objects. The construction process of a sub-object includes the following steps:

S61. Obtain geometric data and attribute data of sub-objects of the framework object through data analysis such as CAD and SHP or user drawing.

S62. If the child object and the existing entity object can realize parameter transfer, that is, the construction geometric parameters of the child object can be converted from the parameters of the existing entity object through geometric operations, numerical calculations, etc., then by creating a parameter demodulator, the input of the parameter demodulator is associated with the object whose parameters need to be extracted, and the output of the parameter demodulator is associated with the current child object (that is, this child object), so as to realize the transfer of the geometric parameters of the associated object (that is, the associated existing entity object) to the current child object; otherwise, it will not be processed, and the parent object and the child object will retain the default containment relationship.

Each sub-entity (ie, sub-object) in the regular entity group can be provided with independent position, orientation and other parameters by the parameter demodulator.

The coordination mechanism between the scene and the parameter demodulator is shown in Figure 3. The parameter demodulator can obtain the parameters of any spatial object from the scene; the parameter demodulator can also be used to set the parameters of any spatial object in the scene. The spatial object includes each frame object and its sub-objects in the scene.

S63. Establish association relationships between parent objects and child objects, and between child objects and sibling objects by creating modeling relationships, constraint relationships, and business association relationships. Modeling relationships, such as opening relationships, are used to trigger the reconstruction of the target 3D model; constraint relationships are used to control the topological associations that must be satisfied between objects; and business association relationships are used to clarify the ownership and reference relationships with internal resources.

Among them, modeling relationships include open relationships, constraint relationships include inclusion relationships, connection relationships, coverage relationships and projection relationships, and business association relationships include link relationships.

When establishing the association between a parent object and a child object, or between a child object and a sibling object, it is necessary to analyze and extract the spatial geometric relationship between the parent object and the child object. For example, if the geometric axis data of the parent object and the child object (such as the axis of a wall is the center line of the bottom of the wall) is a set of parallel line segments, then a separate association relationship can be established. Similarly, a child object can also analyze the spatial geometric relationship with its sibling object to establish an association relationship between the two.

In this step, if multiple child objects are filled in the parent object space in an orderly manner, a rule entity group can be constructed first, and the rule entity group manages several entities, and the number and space occupancy of multiple child entities contained in the parent object are dynamically maintained through the rule entity group.

Associations are an important part of parametric modeling, and they can be used to achieve coupling between entities. The breakdown and explanation of various associations are shown in Table VI.

Table 6

In this embodiment, the association relationship is stored in the "association relationship" field of the entity, and is stored in JSON or other similar ways. Different association relationship storage structures have certain differences, but all include relationship type, relationship name, target object ID and other parameter information.

In a preferred embodiment, the association relationship in the modeling process can be automatically created or actively added based on actual conditions.

The automatically created association relationships include containment relationships and connection relationships. The containment relationship is contained in the scene hierarchy, and the connection relationship is contained in the parameter demodulator.

Actively added relationships include open relationships, covering relationships, projection relationships, link relationships, etc. These relationships require modelers to fill in according to the actual situation between entities. For example, the covering relationship is the covering relationship between this object and other objects, which is an actively set behavior. Of course, intelligent semantic analysis can reduce the manual filling of such relationships, but it is still a kind of human cognition of entity relationships.

The association relationship can be used in the modeling process or in subsequent specific applications. The automatically created association relationship is maintained by the modeling scene, and the actively added association relationship can be used in scene modeling and scene update. For example, the opening relationship will lead to the model construction process of the parent object, affecting the modeling; the covering relationship between the object and the associated object can be verified by spatial geometry calculation, and a prompt message will be output if it is not satisfied.

S7. In the process of constructing the sub-object of the framework object, determine whether the sub-object conflicts with the space occupation of the regular entity group; if the sub-object conflicts with the space occupation of the regular entity group, the regular entity group is automatically divided according to the space occupation of the sub-object. Specifically, the linear regular entity group is divided into multiple segments, the surface regular entity group can be opened, and the spatial regular entity group occupies part of the space.

S8. Find the corresponding model of the sub-object from the CIM basic model library in step S2 and perform parametric modeling.

S9. Repeat the above steps S6-S8 to continuously add child objects contained in the parent object to the scene until no more child objects are needed. The scene can use multiple top-level framework objects to contain all entities to be modeled. The final result is a multi-layer tree-structured scene based on the parent-child object relationship. The leaf nodes of the scene tree are independent entities that do not contain other spatial objects.

S10, after the complete scene is constructed, the scene model is updated according to the parameter changes of the framework object and the sub-object, as shown in FIG4. Specifically, the following situations are included:

S101. If the parameters of the framework object change, the sub-object is informed to recalculate the modeling parameters and obtain new space occupation information; the framework object determines whether the sub-object can be updated, that is, whether there is a collision. If there is no collision, the response parameters are allowed, and the parameter changes are applied to update the model of the framework object and its sub-objects. Otherwise, the conflict is informed or the corresponding parameters are not adjusted. The sub-object will also pass the parameter change information to its own object.

S102: If the child object moves or the modeling parameters are adjusted, the new space occupation is calculated first, and the parent object is notified to calculate whether there is a collision between the child objects. If there is no collision, the parent object makes corresponding adjustments. If there is a collision, the parent object notifies the parent object of the conflict or does not adjust the corresponding parameters.

S11, generating a model file and storing the modeling process. Reading each entity model of the scene, generating a three-dimensional model file or a BIM model file. The modeling process includes the organizational relationship of the scene and the content of all parameter demodulator nodes.

Example 2

Based on the same inventive concept as Example 1, this embodiment provides a multi-dimensional parameterized city information model construction system, including the following modules:

The object construction module is used to construct the framework object of the scene; and to construct the sub-objects of the framework object, and to establish the topological relationship between the parent object and the child object, the topological relationship between the child object and the sibling object, the topological relationship between the associated object and the child object, and the association relationship between the parent object and the child object, and between the child object and the sibling object by using the topological relationship between the sub-object and the existing entity object or according to the parameter demodulator; and to realize the coupling between entities through the association relationship;

The scene update module is used to update the scene model according to the parameter changes of the framework object and sub-objects.

The object construction module is also used to determine whether the space occupation of the sub-object conflicts with the space occupation of the regular entity group; if the space occupation of the sub-object conflicts with the space occupation of the regular entity group, the space occupation of the sub-object is automatically segmented through the regular entity group.

The above modules of this embodiment are respectively used to execute the steps of Embodiment 1. The detailed execution process thereof is referred to Embodiment 1 and will not be described in detail here.

This embodiment also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the method for constructing a multi-dimensional parameterized urban information model in Embodiment 1 is implemented.

The above is only the better/preferred implementation method of the invention of the present invention, but the protection scope of the invention patent is not limited to this. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principle of the present invention should be equivalent replacement methods and are included in the protection scope of the present invention.

Claims

A method for constructing a multidimensional parameterized urban information model, characterized in that it comprises the following steps:

Constructing a geometric data structure, wherein the geometric bodies of the constructed geometric data structure include points, lines, surfaces and space bodies;

Build a basic model library oriented to entity semantics;

Constructing a parameter demodulator for extracting entity positions and construction parameters from one entity or a group of entities, and converting the extracted entity positions and construction parameters into parameter information supporting modeling of other entities;

According to the composition logic of the modeling scene, the scene is constructed step by step in layers and grades; the constructed scene is a collection of spatial objects, and the inclusion and carrying relationship of entities is expressed in a tree structure; the spatial objects include framework objects, entities, and rule entity groups;

Build the framework object of the scene;

Construct sub-objects of the framework object, and establish the topological relationship between the parent object and the child object, the topological relationship between the child object and the sibling object, the topological relationship between the associated object and the child object, and the association relationship between the parent object and the child object, and between the child object and the sibling object by using the topological relationship between the child object and the existing entity object or according to the parameter demodulator;

Determine whether the space occupied by the sub-object conflicts with that of the rule entity group; if so, the rule entity group is automatically split according to the space occupied by the sub-object;

The corresponding model of the sub-object is found from the basic model library and parameterized modeling is performed.
The method for constructing a multidimensional parameterized urban information model according to claim 1 is characterized in that the constructed parameter demodulator includes an input module, an output module and a calculation module, wherein the input module is used to obtain input parameters; the calculation module calculates the parameters input by the input module to obtain output parameters; and the output module provides the output parameters calculated by the calculation module for use by other entities.
The method for constructing a multidimensional parameterized urban information model according to claim 2, wherein the parameters are parameters for constructing a geometric model, including numerical values, character strings, geometric data, and data structures;

The input parameters of the input module include constant values, parameters of entity objects, and output parameters of other parameter demodulators;

The output parameters of the output module are of numerical type directly used by other entity objects;

According to the algorithm implementation technology of the calculation module, the parameter demodulator is divided into numerical parameter demodulator, geometric topology parameter demodulator and parameter extraction parameter demodulator;

The values of the numerical parameter demodulator include constant values, programmatically calculated values, sequence arrays and dimension reduction values;

The geometric topology parameter demodulator performs spatial topological operations on the geometric body, and the spatial topological operations include:

Linear geometry decomposer, which splits the topological line into several sub-segments or position points;

The surface geometry decomposer splits the topological surface into several topological lines or position points;

The spatial volume geometry decomposer divides the topological spatial volume into several topological surfaces, topological lines or position points;

The spatial buffer unit buffers the linear, surface, and spatial bodies according to the preset distance or image range to obtain new topological geometry;

A bearing surface extraction unit, which establishes a bearing surface of an object and uses the bearing surface as an attachment surface;

The cross-section analysis unit extracts the projection cross-section of a certain space body on a certain surface and obtains a set of line segments;

Topological intersection unit, used to calculate the intersection points of topological geometries;

The parameter extraction type parameter demodulator is used to collect and summarize several parameters. The parameter extraction methods include:

Parameter transfer, extracting a parameter from the first entity and outputting it to the second entity;

Location collection, extracting location parameters of multiple entities according to search rules;

Extract key nodes, mark and extract key position points of the topological space from the topological space, and thus generate new topological geometric data.
The method for constructing a multidimensional parametric urban information model according to claim 1 is characterized in that the constructed scene realizes the following functional characteristics through the inclusion and carrying relationship of entities:

The ability to obtain any spatial object and search for the corresponding spatial entity by the entity's name, type or ID;

Obtaining an organizational relationship of a scene, wherein the organizational relationship of the scene includes a child object of an entity and a parent object of the entity;

Obtaining all entity attributes of each entity, wherein the entity attributes include construction geometry parameters, position, and bounding box;

Set the properties and parameter information of any entity in the scene.
The method for constructing a multi-dimensional parametric urban information model according to claim 1 is characterized in that the entity represents a real-world object and has a three-dimensional model expression form;

The framework object represents a carrier in space, has topological characteristics, and manages several sub-objects;

The rule entity group is a virtual management unit, including several entities, and provides specific positions, orientations and other modeling parameters for the entities; the rule entity group dynamically maintains the number and spatial occupancy of several child objects included in the parent object.
The method for constructing a multidimensional parameterized urban information model according to claim 1, wherein the sub-objects of the construction framework object include:

Get the geometry data and attribute data of the sub-objects of the framework object;

If the child object and the existing entity object can realize parameter transfer, then the corresponding parameter demodulator is created according to the implementation logic of parameter transfer, the input of the parameter demodulator is associated with the existing entity object whose parameters need to be extracted, and the output of the parameter demodulator is associated with the current child object, so as to realize the geometric parameters of the associated object are transferred to the current child object; otherwise, it will not be processed, and the parent object and the child object will retain the default containment relationship;

By creating modeling relationships, constraint relationships, and business association relationships, association relationships between parent objects and child objects, and between child objects and sibling objects are established; among them, modeling relationships include opening relationships, constraint relationships include inclusion relationships, connection relationships, coverage relationships, and projection relationships, and business association relationships include link relationships.
The method for constructing a multidimensional parametric urban information model according to claim 6 is characterized in that, if multiple child objects are filled in an orderly manner in the space of a parent object, a rule entity group is first constructed, and the rule entity group manages a number of entities, and the number and spatial occupancy of the multiple child objects contained in the parent object are dynamically maintained through the rule entity group.
The method for constructing a multidimensional parameterized urban information model according to claim 1 is characterized in that the method further comprises: updating the scene model according to parameter changes of the framework object and the sub-object; the updating of the scene model comprises:

If the parameters of the framework object change, the sub-objects are informed to recalculate the modeling parameters and obtain new space occupation information; the framework object determines whether there is a collision with the sub-object. If there is no collision update, the response parameters are allowed, and the parameter changes are applied to update the model of the framework object and its sub-objects. Otherwise, the conflict is informed or the corresponding parameters are not adjusted.

If a child object moves or a modeling parameter is adjusted, the new space occupation is calculated first, and the parent object is notified to calculate whether there is a collision between the child objects. If there is no collision, the parent object makes corresponding adjustments. If there is a collision, the parent object is notified of the conflict or the corresponding parameters are not adjusted.
A multi-dimensional parameterized urban information model construction system, characterized by comprising the following modules:

A data structure construction module is used to construct a geometric data structure, wherein the geometric bodies of the constructed geometric data structure include points, lines, surfaces and space bodies;

Basic model library construction module, used to build a basic model library oriented to entity semantics;

A parameter demodulator building module, used for building a parameter demodulator, used for extracting entity positions and construction parameters from one entity or a group of entities, and converting the extracted entity positions and construction parameters into parameter information supporting modeling of other entities;

The scene construction module is used to gradually complete the construction of the scene in layers and grades according to the composition logic of the modeling scene; the constructed scene is a collection of spatial objects, and the inclusion and carrying relationship of entities is expressed in a tree structure; the spatial objects include framework objects, entities, and rule entity groups;

An object construction module is used to construct a framework object of a scene; and to construct a sub-object of the framework object, and to establish a topological relationship between a parent object and a child object, a topological relationship between a child object and a sibling object, a topological relationship between an associated object and a child object, and an association relationship between a parent object and a child object, and between a child object and a sibling object by using a topological relationship between the child object and an existing entity object or according to a parameter demodulator;

A parameterization module, used to find the corresponding model of the sub-object from the basic model library and perform parameterized modeling;

The object construction module is also used to determine whether the space occupation of the sub-object conflicts with that of the regular entity group; if the space occupation of the sub-object conflicts with that of the regular entity group, the regular entity group is automatically segmented according to the space occupation of the sub-object.
A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for constructing a multidimensional parameterized urban information model as described in any one of claims 1 to 8 is implemented.