CN116152451A

CN116152451A - Multidimensional parameterized city information model construction method, system and computer equipment

Info

Publication number: CN116152451A
Application number: CN202211488219.1A
Authority: CN
Inventors: 陈彪; 包世泰; 陈顺清; 卞明月; 彭欣月
Original assignee: Ogilvy Technology Co ltd
Current assignee: Ogilvy Technology Co ltd
Priority date: 2022-11-25
Filing date: 2022-11-25
Publication date: 2023-05-23

Abstract

The invention belongs to the technical field of city modeling, and discloses a method, a system and equipment for constructing a multidimensional parameterized city information model, wherein the method comprises the following steps: constructing a geometric data structure and a basic model library facing entity semantics; a build parameter demodulator for extracting entity location and build parameters from an entity or a group of entities and converting the extracted entity location and build parameters into parameter information supporting modeling of other entities; according to the composition logic of the modeling scene, constructing the scene step by step in a layered and hierarchical manner; constructing a frame object and a child object of a scene, and establishing a topological relation and an association relation between a father object/brother object and the child object; and finding out a corresponding model of the sub-object from the basic model library, and carrying out parameterized modeling. The invention accurately expresses the spatial position, the morphological occupation and the spatial relation of the entities, realizes the parameterization conversion and the establishment of the entities, ensures that the entities have more accurate topological relation definition and improves the modeling speed.

Description

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

Technical Field

The invention belongs to the technical field of city modeling, and particularly relates to a method, a system and computer equipment for constructing a multidimensional parameterized city information model.

Background

City Information Model (CIM) is an emerging technology, which is an application hotspot and research front in the field of digital cities/smart cities, and is a digital platform and technology that evolves to the city level based on Building Information Model (BIM). The fusion of BIM and GIS has wide application requirements, is the basis of urban fine and intelligent management, and has fusion value and necessity in terms of data structure and application. However, the two are respectively provided with an independent modeling method and a data standard, and have larger differences in geometric and semantic information, for example, the standard CityGML of 3DGIS adopts surface expression geometric information, and the IFC standard of BIM field adopts entity expression geometric information. BIM and GIS fusion is one of key technologies of CIM technology and platform, and realizing integrated three-dimensional modeling of BIM and GIS is a fundamental solution idea.

The traditional three-dimensional modeling technology based on surface representation is generally used for reflecting basic appearance characteristics of cities and can adapt to surface models with arbitrary shapes; however, there are many drawbacks including lack of entity semantics, difficulty in expressing topological relationships, difficulty in describing internal information of objects, and the like.

BIM modeling technology can supplement the shortcomings of traditional three-dimensional modeling in these aspects, and is widely applied to the fields of various building engineering such as buildings, bridges and the like. Each component in the BIM model is a composite model with associated parameters and behaviors, and is composed of a plurality of features. However, under the existing BIM modeling technology, modeling parameters of the components are still more important, and parameterized linkage is not realized from the aspect of association relation among the components. There are several disadvantages: 1) BIM standards such as IFC standards have various types, complex relationship, high learning cost and lower efficiency, and the conversion is easy to lose due to the fact that the topological relationship becomes a virtual object; 2) BIM modeling technology provides functions such as lofting, elevation and the like to help users reduce repeated modeling and realize accurate positioning, but intelligent and batch rapid modeling can not be realized; 3) The method can provide professional plug-in modules based on secondary development, but each function related surface is often narrow, and professional knowledge and multi-tool linkage are required; 4) When the design scheme is changed, a plurality of modifications and integration are needed; 5) BIM modeling products are often multi-specialty separate modeling, each specialty being built and integrated, component conflicts often occur.

Disclosure of Invention

In order to solve the defects existing in the prior art, the invention aims to provide a multi-dimensional parameterized city information model construction method, a system and computer equipment, which accurately express the space position, the form occupation and the space connection of CIM entities through the digital expression of complex two three-dimensional entities and spaces, realize the parameterized conversion and establishment of the CIM entities, ensure that the entities have more accurate topological relation definition, realize the linkage update, the automatic update and the integrity update of CIM scenes and improve the modeling speed.

The method is realized by the following technical scheme: a multi-dimensional parameterized city information model construction method comprises the following steps:

constructing a geometric data structure, wherein the geometric body of the constructed geometric data structure comprises points, lines, planes and space bodies;

constructing a basic model library oriented to entity semantics;

a build parameter demodulator for extracting entity location and build parameters from an entity or a group of entities and converting the extracted entity location and build parameters into parameter information supporting modeling of other entities;

according to the composition logic of the modeling scene, constructing the scene step by step in a layered and hierarchical manner; the constructed scene is a set of space objects, and expresses the containing and bearing relation of the entity in a tree structure; the space object comprises a frame object, an entity and a rule entity group;

constructing a frame object of a scene;

constructing a child object of the framework object, and establishing a topological relation between a father object and the child object, a topological relation between a child object and a brother object, a topological relation between an association object and the child object and an association relation between the father object and the child object and between the child object and the brother object by utilizing a topological relation between the child object and the existing entity object or according to a parameter demodulator;

judging whether the space occupation of the sub-object and the rule entity group conflicts or not; if the space occupation of the sub-object and the space occupation of the rule entity group conflict, the rule entity group is automatically segmented according to the space occupation of the sub-object;

and finding out a corresponding model of the sub-object from the basic model library, and carrying out parameterized modeling.

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

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 comprise constant values, parameters of the entity object and output parameters of other parameter demodulators;

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

dividing the parameter demodulator into a numerical class parameter demodulator, a geometric topology class parameter demodulator and a parameter extraction class parameter demodulator according to the algorithm implementation technology of the calculation module;

the numerical value of the numerical value class parameter demodulator comprises a constant numerical value, a programmed calculation numerical value, a sequence array and a dimensionality reduction numerical value;

the geometric topology class parameter demodulator performs a spatial topology operation on the geometric body, the spatial topology operation comprising:

a linear geometry decomposer for dividing the topological line into a plurality of sub-line segments or position points;

a planar geometry decomposer for dividing the topological surface into a plurality of topological lines or position points;

the space body geometry decomposer is used for dividing the topological space body into a plurality of topological faces, topological lines or position points;

the space buffer unit is used for buffering the linear, planar and space bodies according to a preset distance or an image range to obtain a new topological geometry;

the bearing surface extraction unit is used for establishing a bearing surface of an object and taking the bearing surface as an attaching surface;

the cross section analysis unit extracts the projection cross section of a certain space body on a certain surface to obtain a group of line segments;

the topological intersection unit is used for calculating the intersection point of topological geometry;

the parameter extraction type parameter demodulator is used for collecting and summarizing a plurality of parameters, and the parameter extraction mode comprises the following steps:

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

position collection, namely extracting position parameters of a plurality of entities according to a search rule;

and extracting key nodes, marking and extracting key position points of the topological space from the topological space, thereby generating new topological geometric data.

In a preferred embodiment, the constructed scenario achieves the following functional characteristics through the inclusion, bearing relationships of the entities:

obtaining the capability of any space object, and searching a corresponding space entity through the name, type or ID of the entity;

obtaining an organization relation of a scene, wherein the organization relation of the scene comprises a child object of an entity and a father object of the entity;

obtaining all entity attributes of each entity, wherein the entity attributes comprise construction geometric parameters, positions and bounding boxes;

and setting the attribute and parameter information of any entity in the scene.

In a preferred embodiment, the entity represents a real world object, having a three-dimensional model representation;

the frame object represents a carrier in space, has topological characteristics and manages a plurality of sub-objects;

the rule entity group is a virtual management unit and comprises a plurality of entities, and specific positions, orientations and other modeling parameters are provided for the entities; the rule entity group dynamically maintains the number and space occupation of the number of children included in the parent object.

In a preferred embodiment, the constructing the sub-objects of the framework object includes:

obtaining geometric data and attribute data of sub-objects of the frame object;

if the sub-object and the existing entity object can realize parameter transfer, creating a corresponding parameter demodulator according to the realization logic of parameter transfer, associating the input of the parameter demodulator with the existing entity object of the parameter to be extracted, and associating the output of the parameter demodulator with the current sub-object, thereby realizing the transfer of the geometric parameter of the associated object to the current sub-object; otherwise, the parent object and the child object are not processed, and a default inclusion relation is reserved;

establishing an association relationship between a father object and a child object and between a child object and a brother object by establishing a modeling relationship, a constraint relationship and a business association relationship; the modeling relationship comprises an opening relationship, the constraint relationship comprises a containing relationship, a connection relationship, an overlay relationship and a projection relationship, and the business association relationship comprises a link relationship.

Further preferably, if the plurality of child objects are orderly filled in the parent object space, a rule entity group is constructed first, a plurality of entities are managed by the rule entity group, and the number and space occupation of the plurality of 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 frame object and the sub-object; updating the scene model, comprising:

if the parameters of the frame object change, notifying the sub-object to recalculate the modeling parameters to obtain new space occupation information; the frame object judges whether the sub-object has collision or not, if the sub-object does not have collision update, the response parameters are allowed, the parameter change is applied to update the model of the frame object and the sub-object, otherwise, the collision is informed or the corresponding parameters are not adjusted;

if the child object moves or the modeling parameters are adjusted, a new space occupation is calculated first, a father object is informed of whether collision exists between the child objects, if no collision exists, corresponding adjustment is performed, and if collision exists, corresponding parameters are informed of collision or not adjusted.

The system of the invention is realized by the following technical scheme: a multi-dimensional parameterized city information model building system comprising the following modules:

a data structure construction module for constructing a geometric data structure, wherein the geometric body of the constructed geometric data structure comprises points, lines, planes and space bodies;

the basic model library construction module is used for constructing a basic model library oriented to entity semantics;

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

the scene construction module is used for gradually completing the construction of the scene in a layered and hierarchical manner according to the composition logic of the modeling scene; the constructed scene is a set of space objects, and expresses the containing and bearing relation of the entity in a tree structure; the space object comprises a frame object, an entity and a rule entity group;

the object construction module is used for constructing a frame object of the scene; constructing a child object of the framework object, and utilizing the topological relation between the child object and the existing entity object or a parameter demodulator to establish the topological relation between the parent object and the child object, the topological relation between the child object and the brother object, the topological relation between the association object and the child object and the association relation between the parent object and the child object and between the child object and the brother object;

the parameterization module is used for finding out a corresponding model of the sub-object from the basic model library and carrying out parameterization modeling;

the object construction module is also used for judging whether the space occupation of the sub-object and the rule entity group conflicts or not; if the space occupation of the sub-object and the rule entity group conflicts, the rule entity group is automatically segmented according to the space occupation of the sub-object.

The computer equipment comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, and when the processor executes the computer program, the multidimensional parameterized city information model construction method is realized.

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

1. through the digital expression of the complex two-dimensional entity and the space, the space position, the form occupation and the space relation of the CIM entity are accurately expressed, the parameterization conversion and the establishment of the CIM entity are realized, the entities have more accurate topological relation definition, the CIM updating based on parameters is realized, and the CIM scene has the capability of geometric parameter driving and topological parameter driving.

2. The method can effectively organize and manage each entity of the CIM scene in multiple layers and multiple dimensions, and supports index inquiry according to the hierarchical relationship, entity attribute and entity association relationship of the scene.

3. The modeling type contains rich association relations, and the framework object and the rule entity group have the capabilities of sub-object management, parameter transmission and the like, so that the multi-entity management capability is greatly improved, and the parameter transmission sharing mechanism can further realize linkage update, automatic update and integrity update of CIM scenes; modeling parameters can be obtained from the associated entities through the parameter demodulator, so that manual interaction is reduced, and the modeling speed is improved. The general modeling technology only considers the linkage update of the local scene, and after the modeling scheme is adjusted, the scene update range is large and the repeated work is more.

4. Compared with the common modeling technology, the modeling result provided by the invention not only has a three-dimensional model, but also has rich semantic information, the association relation during modeling is reserved, the fusion of BIM and GIS is effectively realized, and data support is provided for the subsequent CIM application.

5. The invention provides a set of business processes for reading parameters, calculating parameters and using parameters from an entity, thereby greatly reducing the requirement of a user for processing modeling parameters; this modeling method using the association relationship is also easier to understand, and the operation is also simpler. The general modeling technology is more complicated to operate due to the lack of parameter transmission among components in consideration of parameterization of specific components.

Drawings

FIG. 1 is a flow chart of a method for constructing a multidimensional parameterized city information model in an embodiment of the invention

FIG. 2 is a schematic diagram of the component logic of the parameter demodulator according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a collaboration mechanism of a scene and 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 invention.

Detailed Description

The invention relates to a parameterized expression and dynamic updating method of two three-dimensional entities and a spatial topological relation thereof, in particular to a method and a system for constructing a multidimensional parameterized city information model.

Example 1

In the real world, various entities have a strong association relationship, are mutually attached and supported, and even have the same or similar parameters. If the pipe gallery and the brackets and pipelines in the pipe gallery have the same trend, the room wall body and the pipelines and furniture in the wall body have the association relationship of inclusion and attachment. If these parameters can be effectively reused, cumbersome, complex, repetitive labor in facility placement, space management, scene component updates, etc. can be significantly reduced.

Therefore, the embodiment starts from two layers, namely, defining the digital expression of the complex two-dimensional entity and space, and realizing parametric modeling to establish a multi-dimensional parametric city information model construction method. Specifically, the method comprises the steps of defining a two-dimensional and three-dimensional integrated geometric data structure, adopting a top-down modeling strategy, and forming a modeling mechanism of multidimensional association and linkage update by transmitting component modeling parameters; the modeling efficiency can be greatly improved, the operation easiness and intuitiveness are realized, the scene linkage and automatic updating are realized, and the modeling result has good semantic characteristics.

The embodiment forms a set of city information model construction method for flexibly transmitting entity modeling parameters based on the association relation between the entities. The method mainly establishes a hierarchical classification management mechanism and a multi-level message transmission mechanism of the entity based on the scene, and realizes parameter information sharing of the entity based on a parameter demodulator, thereby realizing accurate, quick and self-resolving conflict entity space occupation and quick response updating of the scene; the core of the method comprises the steps of constructing a set of two-dimensional and three-dimensional integrated geometric data structure, a parameterized CIM basic model library and various types of parameter demodulators.

Specifically, as shown in fig. 1, the method for constructing a multidimensional parameterized city information model according to the present embodiment includes the following steps:

s1, constructing a two-dimensional and three-dimensional integrated geometric data structure, wherein the constructed geometric data structure comprises geometric bodies such as points, lines, planes and space bodies.

S2, constructing a CIM basic model library oriented to entity semantics. The built CIM basic model library is a CIM entity template library, and the geometry of the three-dimensional model is generated under the drive of the construction geometric parameters by adopting a CSG modeling technology.

S3, constructing a set of parameter demodulators, which are used for extracting entity positions and construction parameters from an entity or a group of entities, and converting the extracted entity positions and construction parameters into parameter information supporting modeling of other entities through numerical calculation, geometric calculation and other methods.

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

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

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

2) Parameters of the entity object: the entity object may be searched in the scene by keywords such as name, type, ID, etc. of the entity object. Because the parameters of the entity object are public, the parameters of the entity object can be obtained through an API and an interface mode.

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

Taking the parameters for building a 5 m wall as an example, the parameters are shown in table one:

list one

The output module of the parameter demodulator may output one or more parameters. The output parameters are generally of a numerical type and can be directly used by other entity objects. The output parameter may also be obtained through an interface (interface name: getOutputByName (String outProperityName)), thereby enabling dynamic updating.

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

Wherein the calculation module of the numerical class parameter demodulator is implemented based on numerical values, which include the following types:

1) Constant values. Fixed parameters are provided for the conditions of elevation, axis, etc.

2) The numerical values are programmed. Numerical calculation methods, such as trigonometric functions, are provided.

3) A sequence array. Providing a random number and an array arranged according to a predetermined rule.

4) And (5) reducing the dimension value. The dimension-reduction value is extracted from a multi-dimensional value, such as Z-coordinate from a three-dimensional spatial point.

5) Other types. Such as providing an expression of the binding ratio and number.

In this embodiment, the geometric topology parameter demodulator performs spatial topology operations on geometric objects such as points, lines, planes, and spatial objects, where the spatial topology operations include the following types:

1) Linear geometry decomposer. The topological line may be segmented into several sub-line segments or position points.

2) A planar geometry decomposer. The topology surface may be segmented into a number of topology lines or location points.

3) A spatial volume geometry decomposer. The topological space body can be divided into a plurality of topological faces or topological lines or position points.

4) And a space buffer unit. The linear, planar and space bodies can be buffered according to the preset distance or the image range to obtain a new topological geometry.

5) And a bearing surface extraction unit. A bearing surface of an object is established, which can be taken as an attachment surface.

6) And a cross section analysis unit. And extracting the projection cross section of a certain space body on a certain surface to obtain a group of line segments.

7) Topology intersection units. And calculating the intersection point of the topological geometry according to the topological geometry of the line segments, the line segments and the like.

8) Other topology algorithms.

In this embodiment, the parameter extraction type parameter demodulator is used for collecting and summarizing several parameters, and the parameter extraction modes include the following types:

1) And (5) transferring parameters. A certain parameter is extracted from the first entity a and output to the second entity B.

2) And (5) collecting positions. The location parameters of the plurality of entities are extracted according to a search rule (e.g., by entity type).

3) And extracting key nodes. Key location points of the topological space can be marked and extracted from the topological space of topological lines, topological surfaces, topological points and the like, so that new topological geometric data can be generated.

4) Other parameter extraction algorithms.

S4, constructing the scene step by step in a layered and hierarchical manner according to the composition logic of the modeling scene. The constructed scene comprises a management framework composed of a plurality of space objects, and is a set of the space objects; wherein the space object comprises a frame object, an entity, a set of rule entities, and the like.

The scene constructed in the step expresses the containing and bearing relation of the entity in a tree structure, and the following functional characteristics are realized through the containing and bearing relation of the entity:

1) The ability to obtain arbitrary spatial objects. Such as searching for the corresponding spatial entity by way of the entity's name (SelectByName), type (SelectByType), or ID (SelectByID).

2) An organization relationship of a scene is obtained, the organization relationship of the scene including child objects of an entity, parent objects of the entity, and the like.

3) Obtaining all entity attributes of each entity, wherein the entity attributes comprise construction geometric parameters, positions, bounding boxes and the like.

4) And setting the attribute, parameter and other information of any entity in the scene.

In the scenario constructed in this step, each tree node of the tree structure corresponds to a spatial object (SpaceObject). The specific forms of the space object (SpaceObject) comprise three forms of a frame object, a rule entity group and an entity, and all have space positions and space ranges. The basic attribute definition is shown in table two.

Watch II

Wherein, the Entity (Entity) represents a real world object, has a three-dimensional model expression form, inherits a space object and expands the attribute shown in a table III.

Watch III

A frame object (FrameObject) represents a carrier in space, has certain topological features (e.g. closeness, topological stability) and manages several sub-objects. The frame object can be a virtual carrier (such as a room), and can also have a specific three-dimensional model expression form; inheritance of the definition of an entity and extension of the properties as shown in table four.

Table four

Attributes of	Attribute type	Remarks
			Child object set (Children)	SpaceObject[]	May contain several sub-objects

And a rule entity group (rule EntityGroup) is a virtual management unit that contains several entities and provides specific location, orientation, and other modeling parameters for these entities. Typically for entity management arranged in a regular manner, such as a pipeline where topological relationships exist and are segmented. The construction geometric parameters of the regular entity group are often multi-line segments, polygons, space bodies and the like, and are not a space position point; the rule entity group can dynamically maintain the quantity and space occupation of a plurality of sub-objects included in the parent object, inherit the definition of the space object and expand the attribute shown in the fifth table.

TABLE five

Attributes of	Attribute type	Remarks
			Parameter demodulator ID	Integer	Pointing to a parameter demodulator
Child object set (Children)	SpaceObject[]	May contain several sub-objects

S5, constructing a frame object of the scene, and if the frame object is not a virtual object, building a three-dimensional model of the frame object; if the frame object is a virtual object, then nodes are added in the tree structure of the scene (also called scene tree).

A scene may contain one or more frame objects, depending on the complexity of the scene. The geometric data and attribute data of the frame object can be obtained through CAD, SHP and other data analysis or user drawing modes, and the geometric model finds out a corresponding model from a basic model library and carries out parameterization modeling.

S6, constructing child objects of the framework object, establishing topological relations between parent objects and the child objects, topological relations between child objects and brother objects, topological relations between association objects and the child objects, and association relations between the parent objects and the child objects and between the child objects and the brother objects, and adding the association relations to corresponding nodes of the scene tree.

Each constructed frame object and its sub-objects are space objects. Wherein, the sub-object may be a specific entity object, i.e. no other sub-object is included any more; or it may be a framework object (i.e., parent object), i.e., it still contains children. The construction process of the child object comprises the following steps:

s61, obtaining geometric data and attribute data of the sub-objects of the frame object through data analysis such as CAD and SHP or user drawing.

S62, if the sub-object and the existing entity object can realize parameter transfer, namely, the constructed geometric parameters of the sub-object can be converted from the parameters of the existing entity object through geometric operation, numerical calculation and the like, the input of the parameter demodulator is related to the object needing to be extracted by creating the parameter demodulator, and the output of the parameter demodulator is related to the current sub-object (namely, the sub-object), so that the geometric parameters of the related object (namely, the related existing entity object) are transferred to the current sub-object; otherwise, the parent object and the child object are not processed, and a default inclusion relationship is reserved.

Each sub-entity (i.e., sub-object) in the rule entity group may be provided with an independent position, orientation, and other parameters by the parameter demodulator.

The co-mechanism of the scenario and the parameter demodulator is shown in fig. 3. The parameter demodulator can obtain parameters of any spatial object from the scene; any spatial object in the scene may also be parameter set by the parameter demodulator. The space object comprises each frame object and its sub-objects in the scene.

S63, establishing association relations between the father object and the child object and between the child object and the brother object by establishing modeling relations, constraint relations and business association relations. The modeling relationship, such as an opening relationship, is used for triggering the reconstruction of the target three-dimensional model; constraint relationships are used to control the topological associations that must be satisfied between objects; the business association relationship is used for defining the belonging and reference relationship with the internal resource.

The modeling relationship comprises an opening relationship, the constraint relationship comprises a containing relationship, a connection relationship, an overlay relationship and a projection relationship, and the business association relationship comprises a link relationship.

When the association relation between the father object and the child object and between the child object and the brother object is established, the space geometrical relation of the father object and the child object needs to be analyzed and extracted. For example, the geometric axis data (such as the axis of the wall is the center line of the bottom of the wall) of the parent object and the child object are a group of parallel line segments, so that a separated association relationship can be established. Similarly, the sub-object can analyze the space geometric relation with the sibling object and establish the association relation between the sub-object and the sibling object.

In this step, if the plurality of child objects are orderly filled in the parent object space, a rule entity group can be constructed first, and a plurality of entities are managed by the rule entity group, and the number and space occupation of the plurality of child entities contained in the parent object are dynamically maintained through the rule entity group.

The association relation is an important part of parameterized modeling, and the coupling between the entities can be realized through the association relation. The subdivision and interpretation of the various associations are shown in Table six.

TABLE six

In this embodiment, the association is stored in the "association" field of the entity, stored in JSON or other similar manner. Different association relation storage structures have certain differences, but all comprise relation types, relation names, target object IDs and other parameter information.

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

The automatically created association relationship comprises a containing relationship and a connection relationship. Wherein the inclusion relationship is contained in the hierarchical structure of the scene and the connection relationship is contained in the parameter demodulator.

The association relation actively added comprises an opening relation, an overlay relation, a projection relation, a link relation and the like. These relationships require the modeler to fill in based on the reality between the entities. If the overlay relationship is that of the object with other objects, the behavior of the active setting is that of the object. Of course, manual filling of such association relationships can be reduced through intelligent semantic analysis, but still a human knowledge of entity relationships.

The association relationship can be used in the modeling process and can also be used in the following specific application. The automatically created association relationship is maintained by a modeling scene, and the actively added association relationship can be used for aspects such as scene modeling, scene updating and the like. If the opening relation can lead to the model construction process of the father object, the model modeling is affected; the coverage relation between the object and the associated object can be verified through space geometric calculation, and if the coverage relation is not satisfied, prompt information is output.

S7, in the process of constructing the sub-object of the frame object, judging whether the space occupation of the sub-object and the rule entity group conflicts or not; if the space occupation of the sub-object and the rule entity group conflicts, the rule entity group is automatically segmented according to the space occupation of the sub-object. The concrete steps are as follows: the linear regular solid groups are divided into a plurality of sections, the planar regular solid groups can be opened, and the regular solid groups of the space body occupy part of the space.

S8, finding out a corresponding model of the sub-object from the CIM basic model library in the step S2, and carrying out parameterized modeling.

S9, repeating the steps S6-S8, and continuously adding the child objects contained in the parent object in the scene until the child objects are not required to be built. A scene may use multiple top-level framework objects, containing all the entities to be modeled. The final result is a scene of a multi-layer tree structure based on parent-child object relationships, where the leaf nodes of the scene are independent entities that do not contain other spatial objects.

S10, after a complete scene is constructed, updating a scene model according to parameter changes of the frame objects and the sub-objects, as shown in fig. 4. The method specifically comprises the following steps:

s101, if parameters of a frame object change, notifying sub-objects to recalculate modeling parameters to obtain new space occupation information; the framework object determines whether the child object can be updated, i.e., whether there is a collision. And if no collision exists, allowing response parameters, and updating the model of the frame object and the sub-objects by using parameter change, otherwise informing the collision or not adjusting the corresponding parameters. The child object also passes parameter change information to its own object.

S102, if the child object moves or modeling parameters are adjusted, a new space occupation is calculated first, and whether collision exists between the child objects calculated by the parent object is notified. If no collision exists, corresponding adjustment is performed, and if collision exists, the collision is informed or corresponding parameters are not adjusted.

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

Example 2

Based on the same inventive concept as embodiment 1, this embodiment provides a multidimensional parameterized city information model building system, which includes the following modules:

the object construction module is used for constructing a frame object of the scene; constructing a child object of the framework object, and utilizing the topological relation between the child object and the existing entity object or a parameter demodulator to establish the topological relation between the parent object and the child object, the topological relation between the child object and the brother object, the topological relation between the association object and the child object and the association relation between the parent object and the child object and between the child object and the brother object; coupling between entities is realized through the association relation;

and the scene updating module is used for updating the scene model according to the parameter changes of the frame objects and the sub-objects.

The object construction module is also used for judging whether the space occupation of the sub-object and the rule entity group conflicts or not; if the space occupation of the sub-object conflicts with the space occupation of the rule entity group, the space occupation of the sub-object is automatically segmented through the rule entity group.

The above modules in this embodiment are used to execute the steps in embodiment 1, and the detailed execution process thereof is referred to embodiment 1 and is not repeated herein.

The present embodiment also provides a computer device including a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the multi-dimensional parameterized city information model building method of embodiment 1.

The foregoing is only illustrative of the preferred embodiments of the present invention, but the scope of the invention is not limited thereto, and any other changes, modifications, substitutions, combinations, and simplifications that do not depart from the spirit and principles of the present invention should be made therein and are intended to be equivalent substitutes.

Claims

1. The method for constructing the multidimensional parameterized city information model is characterized by comprising the following steps of:

constructing a basic model library oriented to entity semantics;

constructing a frame object of a scene;

2. The method for constructing a multidimensional parameterized city information model according to claim 1, wherein the constructed parameter demodulator comprises an input module, an output module and a calculation module, wherein the input module is used for obtaining input parameters; the calculation module calculates the parameters input by the input module to obtain output parameters; the output module provides the output parameters calculated by the calculation module for other entities to use.

3. The method for constructing a multidimensional parameterized city information model of claim 2, wherein the parameters are parameters for constructing a geometric model, including values, strings, geometric data, and data structures;

4. The method for constructing the multidimensional parameterized city information model according to claim 1, wherein the constructed scene realizes the following functional characteristics through the containing and bearing relations of the entities:

and setting the attribute and parameter information of any entity in the scene.

5. The method for constructing a multidimensional parameterized city information model according to claim 1, wherein the entity represents a real world object and has a three-dimensional model representation;

6. The method for constructing a multi-dimensional parameterized city information model of claim 1, wherein constructing sub-objects of a framework object comprises:

obtaining geometric data and attribute data of sub-objects of the frame object;

7. The method of claim 6, wherein if the plurality of child objects are ordered fills in the parent object space, a rule entity group is constructed first, a plurality of entities are managed by the rule entity group, and the number and space occupation of the plurality of child objects included in the parent object are dynamically maintained by the rule entity group.

8. The method of constructing a multidimensional parameterized city information model of claim 1, further comprising: updating the scene model according to the parameter changes of the frame object and the sub-object; updating the scene model, comprising:

9. A multi-dimensional parameterized city information model building system, comprising the following modules:

10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of constructing a multi-dimensional parameterized urban information model according to any of claims 1-8 when the computer program is executed by the processor.