Rail micro-center three-dimensional scene construction method and device under TOD rule constraint

Abstract

The application discloses a TOD rule-constrained track micro-center three-dimensional scene construction method and device, a storage medium and a computer device. The method comprises the following steps: determining at least one target scene from a plurality of preset track micro-center scenes based on user input data, and acquiring a target TOD rule file matched with each target scene, wherein each preset track micro-center scene corresponds to a different distance range; screening a target concept object from a preset concept object library according to the target TOD rule file matched with each target scene, and acquiring a target three-dimensional model based on metadata indexes of the target concept object; and constructing a track micro-center three-dimensional scene graph with a target station as a center based on the target station, the target three-dimensional model corresponding to each target scene and the distance range. The application can make the constructed track micro-center three-dimensional scene graph meet the set relevant planning standards, and can improve the scene construction efficiency and accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban space development, and in particular to a TOD rule-constrained rail micro-center three-dimensional scene construction method and device, a storage medium and a computer device. BACKGROUND

[0002] With the acceleration of global urbanization and the continuous growth of urban population, urban planners and designers are facing the challenge of creating sustainable and efficient urban environments. In this context, rail micro-centers have emerged. When planning and designing rail micro-centers, urban planners and designers often need to construct three-dimensional models of rail micro-centers to visualize the appearance and form of rail micro-centers in order to better plan and design rail micro-centers.

[0003] In the prior art, when urban planners and designers construct three-dimensional models of rail micro-centers, they usually construct three-dimensional models based on their own experience and seek the optimal modeling result among different modeling results as the basis for planning and developing rail micro-centers. However, the modeling result of this modeling method is directly related to the experience of the modeler, and the modeling efficiency and accuracy are low, which directly affects the efficiency and effectiveness of subsequent rail micro-center planning and development. SUMMARY

[0004] Therefore, the present application provides a TOD rule-constrained rail micro-center three-dimensional scene construction method and device, a storage medium and a computer device, which links the target TOD rule file with the target three-dimensional model to form a three-dimensional scene graph construction system based on human development planning standards. This not only makes the constructed rail micro-center three-dimensional scene graph conform to the set relevant planning standards, but also improves the scene construction efficiency and accuracy, which is beneficial to improving the efficiency and effectiveness of rail micro-center planning and development.

[0005] According to one aspect of the present application, a TOD rule-constrained rail micro-center three-dimensional scene construction method is provided, comprising:

[0006] Based on user input data, at least one target scene is determined from a plurality of preset rail micro-center scenes, and a target TOD rule file matched with each target scene is obtained. Each preset rail micro-center scene corresponds to a different distance range.

[0007] According to the target TOD rule file matched with each target scene, a target concept object is selected from a preset concept object library, and based on the metadata index of the target concept object, a target three-dimensional model is obtained.

[0008] construct a rail micro-center three-dimensional scene graph centered on the target station based on the target station, and the target three-dimensional model and the distance range corresponding to each target scene.

[0009] According to another aspect of the present application, a rail micro-center three-dimensional scene construction device under TOD rule constraint is provided, comprising:

[0010] a file acquisition module configured to determine at least one target scene from a plurality of preset rail micro-center scenes based on user input data, and acquire a target TOD rule file matched with each target scene, each preset rail micro-center scene corresponding to a different distance range;

[0011] a model acquisition module configured to filter a target conceptual object from a preset conceptual object library according to the target TOD rule file matched with each target scene, and acquire a target three-dimensional model based on metadata index of the target conceptual object;

[0012] a scene graph construction module configured to construct a rail micro-center three-dimensional scene graph centered on the target station based on the target station, and the target three-dimensional model and the distance range corresponding to each target scene.

[0013] According to still another aspect of the present application, a storage medium having a computer program stored thereon is provided, the program being executed by a processor to implement the rail micro-center three-dimensional scene construction method under TOD rule constraint.

[0014] According to yet another aspect of the present application, a computer device is provided, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, the processor implementing the rail micro-center three-dimensional scene construction method under TOD rule constraint when executing the program.

[0015] By the technical scheme, the application provides a TOD rule-constrained track micro-center three-dimensional scene construction method and device, storage medium and computer equipment. First, one or more target scenes can be determined from a plurality of preset track micro-center scenes according to user input data, and different preset track micro-center scenes can correspond to different distance ranges. Each preset track micro-center scene can correspond to a TOD rule file. Then, a target TOD rule file corresponding to each target scene can be obtained according to each target scene. Subsequently, a target concept object in the target scene can be obtained by matching the target TOD rule file and a preset concept object library. In addition, a target three-dimensional model can be obtained from a scene three-dimensional model by using metadata indexing of the target concept object. After obtaining the target three-dimensional model corresponding to each target scene, a three-dimensional scene graph corresponding to each target scene can be constructed in layers with the target site as the center, by using the target three-dimensional model corresponding to each target scene and the distance range corresponding to the target scene, to finally form a track micro-center three-dimensional scene graph with the target site as the center. The embodiment of the application links the target TOD rule file with the target three-dimensional model to form a three-dimensional scene graph construction system based on human development planning standards, so that the constructed track micro-center three-dimensional scene graph can meet the set relevant planning standards, and the scene construction efficiency and accuracy can be improved, which is beneficial to improving the efficiency and effect of track micro-center planning and development.

[0016] The above description is only a summary of the technical scheme of the application. In order to more clearly understand the technical means of the application, the application can be implemented according to the content of the specification, and in order to make the above and other purposes, features and advantages of the application more obvious and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0017] The accompanying drawings described herein are used to provide further understanding of the application, and form a part of the application. The schematic embodiments of the application and the description thereof are used to explain the application, and do not constitute an improper limitation on the application. In the drawings:

[0018] Figure 1 A flowchart of a TOD rule-constrained track micro-center three-dimensional scene construction method provided by an embodiment of the application is shown;

[0019] Figure 2 A concept object of a part of a scene three-dimensional model provided by an embodiment of the application is shown;

[0020] Figure 3 A structure diagram of a concept object library provided by an embodiment of the application is shown;

[0021] Figure 4A flowchart of another TOD rule-constrained track micro-center three-dimensional scene construction method provided by the embodiment of the application is shown.

[0022] Figure 5 A determination diagram of a target three-dimensional model provided by the embodiment of the application is shown.

[0023] Figure 6 A structure diagram of a TOD rule-constrained track micro-center three-dimensional scene construction device provided by the embodiment of the application is shown.

[0024] Figure 7 A device structure diagram of a computer device provided by the embodiment of the application is shown. DETAILED DESCRIPTION

[0025] The application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments. It should be noted that the embodiments in the application and the features in the embodiments can be combined with each other without conflict.

[0026] In the embodiment, a TOD rule-constrained track micro-center three-dimensional scene construction method is provided, as shown in the figure, the method comprises the following steps. Figure 1

[0027] In step 101, based on user input data, at least one target scene is determined from a plurality of preset track micro-center scenes, and a target TOD rule file matched with each target scene is obtained, each preset track micro-center scene corresponds to a different distance range.

[0028] The TOD rule-constrained track micro-center three-dimensional scene construction method provided by the embodiment of the application can be applied to the development and planning scene of a new track micro-center, and can also be applied to the rationality analysis scene of the construction of an existing track micro-center. TOD is a public transportation-oriented development mode, which aims to realize the sustainable transportation and community development goals by taking the transportation system as the core element of urban planning. The track micro-center scene in the mode is a city geographical scene containing different levels, which can express the internal details of different scenes in layers, and is also a basic guarantee for the multi-level management needs of the state and the local geographical scene. Compared with the traditional urban planning method, TOD pays attention to the close combination of different urban functions (such as residence, business and public facilities), so that residents can use the public transportation system more conveniently, reduce the dependence on private cars, and thus reduce traffic congestion and environmental pollution.

[0029] ​Firstly, one or more target scenes can be determined from a plurality of preset track micro-center scene according to user input data. Here, a plurality of track micro-center scenes can be preset, such as a preset track influence area scene, a preset track core area scene, a preset station internal scene, etc. Different preset track micro-center scenes can correspond to different distance ranges, for example, the preset track influence area scene is a scene within a distance range of 500-800 m from the target station; the preset track core area scene is a scene within a distance range of 300-500 m from the target station; and the preset station internal scene is a scene within a distance range of 0-300 m from the target station. Each preset track micro-center scene can correspond to a TOD rule file, which can be summarized in advance according to the Urban Rail Transit Along the Line Area Planning Design Guide, relevant literature of TOD urban and rural planning direction, TOD principle specification, building construction specification, etc. Since the distance ranges between different preset track micro-center scenes and the target station are different, the user can select to construct a three-dimensional scene graph of one or more target scenes at a time. Specifically, the preset track micro-center scene can be displayed in the form of a table, a drop-down menu, etc. The user can select one or more options at a time by checking or clicking, each option corresponding to a target scene. Then, the operation data corresponding to the user's check or click operation is taken as user input data, and one or more preset track micro-center scenes are determined as target scenes from the preset track micro-center scenes according to the user input data. Then, the target TOD rule file corresponding to each target scene can be obtained according to each target scene.

[0030] In step 102, target concept objects are filtered from the preset concept object library according to the target TOD rule file matched with each target scene, and a target three-dimensional model is obtained based on the metadata index of the target concept object.

[0031] In this embodiment, a concept object library can also be preset. The preset concept object library can be composed of a plurality of concept objects. The concept object can be a specific semantic object, such as a school, a park, an office building, a residential building, a parking lot, etc. The target TOD rule file can include some scene elements and associated requirements of scene elements related to urban planning standards, so the target concept object under the target scene can be obtained by matching the target TOD rule file and the preset concept object library. For example, if the scene element in the target TOD rule file includes a school, the school concept object can be found from the preset concept object library using this scene element. In addition, each concept object in the preset concept object library is also provided with a metadata index, which can be used to filter the scene three-dimensional model, so the target three-dimensional model can be obtained from the scene three-dimensional model using the metadata index of the target concept object. That is, the track micro-center three-dimensional scene graph of the present application can be established depending on the target TOD rule file.

[0032] In step 103, a track micro-center three-dimensional scene graph centered on the target station is constructed based on the target station, the target three-dimensional model corresponding to each target scene, and the distance range corresponding to each target scene.

[0033] In this embodiment, after obtaining the target three-dimensional model corresponding to each target scene, a three-dimensional scene graph corresponding to each target scene can be constructed in layers using the target three-dimensional model corresponding to each target scene and the distance range corresponding to the target scene, and finally a track micro-center three-dimensional scene graph centered on the target station is formed. For example, the target scene is two, which are the preset track influence area scene and the preset track core area scene, wherein the preset track influence area scene is the scene within the range of 500-800 m from the target station, and the preset track core area scene is the scene within the range of 300-500 m from the target station. Then, the three-dimensional scene graph within the range of 500-800 m from the target station can be constructed using the target three-dimensional model corresponding to the preset track influence area scene, and the three-dimensional scene graph within the range of 300-500 m from the target station can be constructed using the target three-dimensional model corresponding to the preset track core area scene. When the two three-dimensional scene graphs are constructed, the track micro-center three-dimensional scene graph centered on the target station is formed.

[0034] By applying the technical solution of this embodiment, first, one or more target scenes can be determined from a plurality of preset track micro-center scenes according to user input data, and different preset track micro-center scenes can correspond to different distance ranges. Each preset track micro-center scene can correspond to a TOD rule file. Then, the target TOD rule file corresponding to each target scene can be obtained according to each target scene. Subsequently, the target concept object under the target scene can be obtained by matching the target TOD rule file and the preset concept object library. In addition, the target three-dimensional model can be obtained from the scene three-dimensional model using the metadata index of the target concept object. After obtaining the target three-dimensional model corresponding to each target scene, a three-dimensional scene graph corresponding to each target scene can be constructed in layers using the target three-dimensional model corresponding to each target scene and the distance range corresponding to the target scene, and finally a track micro-center three-dimensional scene graph centered on the target station is formed. The embodiment of the present application links the target TOD rule file with the target three-dimensional model to form a three-dimensional scene graph construction system based on human development planning standards, so that the constructed track micro-center three-dimensional scene graph can meet the relevant planning standards, and the scene construction efficiency and accuracy can be improved, which is conducive to improving the efficiency and effect of track micro-center planning and development.

[0035] In the embodiment of the present application, after step 103, the method further comprises: acquiring real scene data in the target scene centered on the target site, and extracting construction scene data from the three-dimensional scene graph, and generating an evaluation report of the rail micro-center centered on the target site by comparing the real scene data and the construction scene data; and / or extracting construction scene data from the three-dimensional scene graph, and generating a development report of the rail micro-center centered on the target site based on the construction scene data.

[0036] In this embodiment, after constructing the three-dimensional scene graph of the rail micro-center centered on the target site, real scene data in the target scene centered on the target site can be acquired. For example, if the target scene is a preset rail influence area scene, the acquired real scene data is the real scene data corresponding to the preset rail influence area scene. Specifically, the real scene data can be acquired from an open source map, and specifically refers to scene data corresponding to a scene that actually exists in the target scene. In addition, construction scene data can also be extracted from the constructed three-dimensional scene graph, and the construction scene data refers to scene data corresponding to a scene constructed according to the target TOD rule file. Then, the real scene data and the construction scene data can be compared, and then an evaluation report of the rail micro-center centered on the target site is generated. Through the evaluation report, it can be simply and conveniently seen whether the planning around the current target site conforms to the target TOD rule file.

[0037] In addition, the construction scene data and the real scene data can also be used to generate a deep development report. The deep development report can mainly include information about elements to be developed in addition to the current real scene, such as location information, number of floors, etc. of a to-be-developed mall, location information, area information, orientation information, etc. of a to-be-developed school. When further developing and planning around the target site, further development can be performed according to the deep development report, so that the deep development and planning are more scientific and reasonable on the basis of the current development situation.

[0038] For completely undeveloped areas or areas with low development degree, construction scene data can also be extracted from the three-dimensional scene graph, and a development report of the rail micro-center centered on the target site can be generated directly according to the construction scene data. Through the development report, the future development planning of the area can be directly guided. The development report generated by the embodiment of the present application can directly guide the future planning and development of the area, which is simple and convenient.

[0039] In the embodiment of the present application, before step 102, the method further comprises: constructing a three-dimensional scene model based on TOD rule files of the rail micro center; generating a corresponding concept description for the three-dimensional scene model to obtain a concept object, and generating a metadata index for the concept object, the metadata index being used to retrieve the three-dimensional scene model.

[0040] In this embodiment, before constructing the three-dimensional scene graph of the rail micro center, a three-dimensional scene model can be constructed based on TOD rule files of the rail micro center, which are summarized from relevant documents such as the Urban Rail Transit Along the Area Planning and Design Guidelines and TOD Urban Planning. Specifically, all scene elements can be extracted from all TOD rule files corresponding to the rail micro center, and a corresponding three-dimensional scene model can be constructed for each scene element. It should be noted that each scene element can correspond to multiple three-dimensional scene models of different model granularities, and the three-dimensional scene models can be stored in a database. Then, a corresponding concept description can be generated for these three-dimensional scene models, and then a concept object can be obtained, and these concept objects can be stored in a preset concept object library. For example, if the three-dimensional scene model is a three-dimensional model of a school, the corresponding concept description can be a related concept description of "school", and "school" is taken as the corresponding concept object. As shown in Figure 2 After obtaining the concept object, a metadata index can also be generated for the concept object, so that the target TOD rule file can be directly filtered from the rail micro center TOD rule files according to the user input data in the subsequent process, and the target concept object can be determined according to the target TOD rule file, and the matching target three-dimensional model can be obtained according to the metadata index of the target concept object.

[0041] In order to facilitate effective organization and management of the concept objects constructed in the concept modeling scene, the application establishes a preset concept object library, links the concept objects and the scene three-dimensional models, and enables the scene three-dimensional models to be reused. This not only improves the efficiency of modeling work, but also enables the scene three-dimensional models to be reselected for scene construction using a new rule file. The application adopts the concept modeling scene method, abstracts the modeling objects in the preset track micro-center scene, generates concept objects, enables the internal structure of the scene to be described through rich semantic information, and divides the semantic classes of the concept objects according to business functions. Then, metadata indexes are created between the concept objects and the scene three-dimensional models, so as to retrieve the corresponding scene three-dimensional models through an ID or a certain attribute. Compared with the quantitative constraints of the spatial scale on the scene elements, the semantic scale can better present the internal structure, element distribution characteristics and hierarchical relationship of the scene, provide intuitive visual information, and reveal the relationship between the scene elements and the scene. Therefore, by using the method of abstracting data into concepts, the internal structure of the scene in the real world can be formally expressed.

[0042] The preset concept object library mainly records the metadata index information of some concept objects, so as to facilitate retrieval of the scene three-dimensional models. For example, the unique identifier, name, related concept explanation, industry classification and corresponding model type can be recorded. The structure of the preset concept object library can be as shown in Figure 3 .

[0043] For example: for a commercial building, the Id can be 123, the Name can be commercial building, the URI can be the concept explanation of the commercial building, the PARENTID can be business, and the TYPE can be BIM. Among them, the Id is matched with the model code of the scene three-dimensional model in the database, so as to accurately match the scene three-dimensional model; the PARENTID attribute clusters the concept objects related to the current semantic class, and can filter out the scene three-dimensional models of the industry functions required by the current scene; and the TYPE attribute is divided according to the model type, and can filter out the scene three-dimensional models of the required type of the current scene.

[0044] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to completely describe the specific implementation process of the embodiment, another track micro-center three-dimensional scene construction method under the TOD rule constraint is provided, as shown in Figure 4 , and the method comprises the following steps.

[0045] In step 201, at least one target scene is determined from a plurality of preset track micro-center scenes based on user input data, and a target TOD rule file matched with each target scene is obtained, and each preset track micro-center scene corresponds to a different distance range.

[0046] At step 202, target concept objects are filtered from a preset concept object library according to layout rule information, semantic rule information and configuration rule information in a target TOD rule file matched with each target scene, and a target three-dimensional model is acquired based on metadata indexes of the target concept objects.

[0047] In this embodiment, the target TOD rule file includes layout rule information, semantic rule information and configuration rule information. The target TOD rule file can constrain concept objects used for scene construction. Specifically, each target TOD rule file can be composed of three parts, namely layout rule information, semantic rule information and configuration rule information. Among them, the layout rule reflects the internal structure distribution of the concept objects in the modeling scene, and constrains the spatial attributes of the concept objects, which can be mapped to the spatial position of the scene three-dimensional model in the scene, and specifically can include metric rules and topological rules. (1) The metric rule can describe the relationship between concept objects in terms of distance and proximity. Distance is a quantitative metric relationship, and the distance between concept objects is generally uncontrollable in modeling work, so the metric rule is used to reflect the positional relationship between concept objects. (2) The topological rule can describe the spatial relationship between the positions of concept objects. The scene three-dimensional model can be abstracted as a point, a line and a face representation, so it is suitable to use topological relationship to represent the spatial distribution of entities. This application uses a nine-intersection model to establish the relationship between concept objects, including separation, containment, adjacency and superposition relationship. The semantic rule reflects the social attributes of the concept objects, and its focus is to make overall constraints on the concept objects. The semantic rule can include feature rules and function rules, which constrain the feature attributes and causal functions of the concept objects, respectively. (1) The feature rule can describe the feature attributes of the concept objects, and emphasizes the attributes that are unique to a certain type of entity relative to other entities. (2) The function rule can describe the functional attributes of the concept objects, which is based on the classification in the "Rail Transit Along the Line Area Planning and Design Guidelines", which is roughly divided into residential, commercial, connectivity, parking, other facilities and professional facilities. The configuration rule can describe the model configuration attributes of the concept objects. The TOD-constrained rail micro-center scene is a large-scale urban space scene, and the model details observed in different circles should be different. The scene three-dimensional model includes different types of terrain, tilt, point cloud and BIM model, which are used to visualize the scene at different granularity scales, so the model types called in different circles of the scene are also different.

[0048] The TOD rule file of each preset rail micro-center scene can be set in advance, and can be directly called later. For example, the TOD rule file can be set in the following format:

[0049] Table 1 TOD rule file of a preset rail influence area scene

[0050]

[0051] Table 2 TOD rule file of preset track core area scene

[0052]

[0053]

[0054] Table 3 TOD rule file of preset station internal scene

[0055]

[0056] The above TOD rule file can include the related information of metric rule, topology rule, feature rule, function rule and configuration rule, and when there is no corresponding information under a certain rule, it can be directly ignored. Then, the target concept object can be filtered from the preset concept object library according to the layout rule information, semantic rule information and configuration rule information in the target TOD rule file matched by each target scene, and then the target three-dimensional model is acquired based on the metadata index of the target concept object.

[0057] Among them, the TOD rule file under different preset track micro-center scenes can be manually extracted, and can also be automatically extracted, which is not required here.

[0058] Step 203, determining the target display area of each target scene based on the target station and the distance range corresponding to each target scene.

[0059] In this embodiment, since the distance range corresponding to each target scene is different, the target display area of each target scene can be determined based on the target station and the distance range corresponding to each target scene. For example, the target scene is a preset track core area scene, and the distance range corresponding to the preset track core area scene is a range of 300-500 m from the target station. Then, the annular area outside the radius of 300 m and inside the radius of 500 m with the target station as the center can be taken as the target display area of the preset track core area scene.

[0060] Step 204, determining the target layout information of the target concept object corresponding to each target scene in the target display area according to the layout rule information corresponding to each target scene, and mapping the target three-dimensional model with metadata index at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the track micro-center.

[0061] In this embodiment, the layout rule information of each target scene can also be used to determine the target layout information of the target concept object corresponding to the target scene in the target display area. When the layout rule includes the metric rule and the topology rule, the metric rule and the topology rule can be used to constrain the layout position of the target concept object in the target display area, and then the specific layout position information of each target concept object in the target display area is determined as the target layout information. After the target layout information is determined, the three-dimensional scene graph of the rail micro-center can be constructed according to the target layout information and the target three-dimensional model. Specifically, the target three-dimensional model corresponding to each target concept object can be mapped on the layout position corresponding to the target concept object, and the metadata index corresponding to the target concept object can also be mapped on the target three-dimensional model. In this way, when the user views the three-dimensional scene graph later, the user can better understand why the target three-dimensional model is of a certain type of model and the specific situation of the model according to the metadata index on each target three-dimensional model. When all target three-dimensional models and corresponding metadata indexes are mapped, the three-dimensional scene graph of the rail micro-center can be constructed. The embodiment of the present application constructs the three-dimensional scene graph of the rail micro-center through the layout rule information, semantic rule information and configuration rule information in the target TOD rule file. The purpose is to filter out target concept objects more suitable for the current scene by dividing different types of rule constraints, and then construct the three-dimensional scene graph of the rail micro-center based on these target concept objects. In this way, it can not only ensure that the constructed three-dimensional scene graph of the rail micro-center meets the relevant planning standards, but also improve the construction efficiency and accuracy of the three-dimensional scene graph. In addition, the embodiment of the present application can provide a hierarchical three-dimensional scene graph, generate and render the three-dimensional scene graph according to the target scene required by the user, which can reduce the complexity of the construction of the three-dimensional scene graph. The target three-dimensional model with metadata index can be mapped at the current layout position, which can increase the semantic explanation of the target three-dimensional model, and facilitate the user to understand the name and other related information of the target concept object corresponding to the target three-dimensional model later.

[0062] In the embodiment of the present application, optionally, the preset track micro-center scene includes a preset track influence area scene, a preset track core area scene, and a preset station internal scene, each scene having a different distance range from the target station. Accordingly, the "obtaining target concept objects from the preset concept object library according to layout rule information, semantic rule information, and configuration rule information in a target TOD rule file matched with each target scene" in step 202 includes: when there is more than one target scene, obtaining target concept objects from the preset concept object library according to layout rule information, semantic rule information, and configuration rule information in a target TOD rule file matched with each target scene; when there is only one target scene and the target scene is not the preset station internal scene, dynamically adjusting configuration rule information in a target TOD rule file corresponding to the target scene, and obtaining target concept objects from the preset concept object library according to layout rule information, semantic rule information, and adjusted configuration rule information in a target TOD rule file matched with each target scene, the configuration rule information including model granularity information used to indicate model granularity of a target three-dimensional model.

[0063] In this embodiment, the preset track micro-center scene can include a preset track influence area scene, a preset track core area scene, a preset station internal scene, and the like, where different scenes have different distance ranges from the target station. When constructing a three-dimensional scene graph of the track micro-center, the user can select one target scene or multiple target scenes. When one target scene is selected, the final constructed three-dimensional scene graph of the track micro-center includes only the one target scene. When multiple target scenes are selected, the final constructed three-dimensional scene graph of the track micro-center includes the multiple target scenes.

[0064] If the target scene is two or more, target concept objects can be directly obtained from the preset concept object library according to layout rule information, semantic rule information, and configuration rule information in a target TOD rule file matched with each target scene.

[0065] If the target scene is only one, and the target scene is not the preset station internal scene, but the preset track core area scene or the preset track influence area scene, then the configuration rule information in the target TOD rule file can be dynamically adjusted. Here, the configuration rule information can include model granularity information for indicating a model granularity of the target three-dimensional model. For the same concept object, a scene three-dimensional model of different model granularity can be preset, and the model granularity represents the degree of detail of the model. For example, for the same concept object, such as a station, the required details in the preset track core area scene are smaller, and thus the model granularity is larger. In the preset station internal scene, the required details are larger, and thus the model granularity is smaller. Since the user selects only one target scene, when selecting the target three-dimensional model for constructing the track micro-center three-dimensional scene graph, the model granularity is usually selected to be smaller, so that the details of the target three-dimensional model for constructing the track micro-center three-dimensional scene are more prominent, and thus the configuration rule information in the target TOD rule file needs to be adjusted. Specifically, the model granularity information in the configuration rule information can be adjusted to indicate the smallest model granularity. It should be noted that since the model granularity information in the configuration rule information in the TOD rule file of the preset station internal scene indicates the smallest model granularity, when the target scene selected by the user is only the preset station internal scene, the configuration rule information does not need to be dynamically adjusted. After the configuration rule information is dynamically adjusted, the target concept object can be selected from the preset concept object library according to the adjusted configuration rule information, the original layout rule information, and the semantic rule information. When the target scene is only one and is not the preset station internal scene, the configuration rule information in the target TOD rule file corresponding to the target scene can be dynamically modified, so that the display effects of different circles can make the user have a more immersive experience, and the display effect of the constructed three-dimensional scene graph is improved.

[0066] In the embodiment of the present application, optionally, step 202 comprises: determining a first target concept object from each concept object stored in the preset concept object library based on the layout rule information, obtaining a first model set according to metadata index corresponding to the first target concept object, and storing to a first memory area corresponding to the layout rule; determining a second target concept object from each concept object stored in the preset concept object library based on the semantic rule information, obtaining a second model set according to metadata index corresponding to the second target concept object, and storing to a second memory area corresponding to the semantic rule; determining a third target concept object from each concept object stored in the preset concept object library based on the configuration rule information, obtaining a third model set according to metadata index corresponding to the third target concept object, and storing to a third memory area corresponding to the configuration rule; taking an intersection of the first model set stored in the first memory area and the second model set stored in the second memory area to obtain a first intersection, and storing to a fourth memory area corresponding to the first intersection; taking an intersection of the first intersection stored in the fourth memory area and the third model set stored in the third memory area to obtain a second intersection, and taking the three-dimensional model indicated by the second intersection as the target three-dimensional model.

[0067] In this embodiment, when the target three-dimensional model is determined, it can be determined in the following manner. As shown in FIG. 2, the target three-dimensional model can be determined by the following steps. Figure 5As shown, first, the first model set, the second model set and the third model set can be determined according to the layout rule information, the semantic rule information and the configuration rule information respectively. Specifically, the first target concept object can be screened out from the concept objects stored in the preset concept object library according to the layout rule information, and then the first model set can be screened out from the pre-built three-dimensional scene model according to the metadata index of the first target concept object, and the first model set can be stored in the first memory area corresponding to the layout rule. At the same time, the second target concept object can be screened out from the concept objects stored in the preset concept object library according to the semantic rule information, and then the second model set can be screened out from the pre-built three-dimensional scene model according to the metadata index of the second target concept object, and the second model set can be stored in the second memory area corresponding to the semantic rule. And the third target concept object can also be screened out from the concept objects stored in the preset concept object library according to the configuration rule information, and then the third model set can be screened out from the pre-built three-dimensional scene model according to the metadata index of the third target concept object, and the third model set can be stored in the third memory area corresponding to the configuration rule. Next, the first model set in the first memory area and the second model set in the second memory area can be intersected to obtain a first intersection, and the first intersection can be stored in the fourth memory area corresponding to the first intersection. Finally, the first intersection in the fourth memory area and the third model set in the third memory area can be intersected to obtain a second intersection, and the scene three-dimensional model contained in the second intersection is the final target three-dimensional model. In the rule matching process, the embodiment of the present application only needs to match the elements in the memory area, and does not need to match all types of rules, thereby saving the matching calculation process and reducing the response time.

[0068] In an embodiment of the present application, optionally, the "mapping the target three-dimensional model with the metadata index at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the rail micro-center" in step 204 includes: obtaining a scene element set corresponding to the target scene, and determining whether the target three-dimensional model covers all scene elements in the scene element set; when the result is yes, mapping the target three-dimensional model with the metadata index at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the rail micro-center; when the result is no, obtaining a map image corresponding to the target site, extracting scene graph rendering data corresponding to the target scene element from the map image, mapping the target three-dimensional model with the metadata index at the layout position indicated by the target layout information, and performing image rendering through the scene graph rendering data to obtain a three-dimensional scene graph of the rail micro-center, where the target scene element is a scene element in the scene element set that is not covered by the target three-dimensional model.

[0069] In this embodiment, each target scene can be pre-set with all scene elements to be displayed, and the scene elements can constitute a scene element set. Specifically, when constructing the track micro-center three-dimensional scene graph centered on the target station according to the target three-dimensional model, the target three-dimensional model can be obtained according to the target TOD rule file, but the target TOD rule file can not constrain all scene elements under the corresponding target scene, and some scene elements required for constructing the track micro-center can not be included in the target three-dimensional model. Further, after determining the target layout information of each target scene, the scene element set of each target scene can be obtained. Then it is judged whether the target three-dimensional model under each target scene covers all scene elements in the scene element set. If the target three-dimensional model covers all scene elements in the scene element set, then the three-dimensional scene graph of the track micro-center can be directly constructed based on these target three-dimensional models and the corresponding target layout information. However, if the target three-dimensional model does not cover all scene elements in the scene element set, i.e. some scene elements do not have corresponding target three-dimensional models, these scene elements without corresponding target three-dimensional models are target scene elements, then the map image corresponding to the target station can be obtained, and the scene graph rendering data corresponding to the target scene elements can be extracted from the map image. For example, the scene element set is {a, b, c, d}, the target three-dimensional model only corresponds to scene elements a, b, and c, and scene element d does not have a corresponding target three-dimensional model, then the scene graph rendering data corresponding to scene element d can be obtained, where scene element d is the target scene element. It should be noted that the scene graph rendering data is the rendering data corresponding to the target scene elements, which can ensure the successful construction of the track micro-center three-dimensional scene graph. Since some scene elements can not need to be loaded and presented in the form of a scene three-dimensional model when constructing a three-dimensional scene graph, it is a burden for the computer to load all scene elements in the form of a scene three-dimensional model. In this application, the scene elements involved in the target TOD rule file are presented in the form of a scene three-dimensional model, and the remaining scene elements are presented with scene graph rendering data. After obtaining the scene graph rendering data, the three-dimensional scene graph of the track micro-center can be constructed using the scene graph rendering data, the target layout information, and the target three-dimensional model. Before constructing the three-dimensional scene graph of the track micro-center, the embodiment of the application first judges whether the target three-dimensional model covers all scene elements in the scene element set, which can ensure the successful construction of the three-dimensional scene graph, and at the same time, in order to restore the loading of the scene image to cooperate with the scene restoration degree, the scene graph rendering data is used to assist in constructing the three-dimensional scene graph, which can greatly improve the display effect of the three-dimensional scene graph and improve the operation efficiency of the computer.

[0070] Further, as Figure 1The embodiment of the present application provides a device for constructing a three-dimensional scene of a rail micro-center under TOD rule constraints, as shown in the method. Figure 6 The device comprises:

[0071] A file acquisition module is configured to determine at least one target scene from a plurality of preset rail micro-center scenes based on user input data, and acquire a target TOD rule file matched with each target scene, each preset rail micro-center scene corresponding to a different distance range.

[0072] A model acquisition module is configured to filter target concept objects from a preset concept object library according to the target TOD rule file matched with each target scene, and acquire a target three-dimensional model based on metadata indexes of the target concept objects.

[0073] A scene graph construction module is configured to construct a rail micro-center three-dimensional scene graph with the target site as the center based on the target site, the target three-dimensional model corresponding to each target scene, and the distance range.

[0074] Optionally, the target TOD rule file comprises layout rule information, semantic rule information and configuration rule information; and the model acquisition module is further configured to:

[0075] filter the target concept objects from the preset concept object library according to the layout rule information, the semantic rule information and the configuration rule information in the target TOD rule file matched with each target scene, and acquire the target three-dimensional model based on the metadata indexes of the target concept objects.

[0076] Correspondingly, the scene graph construction module is further configured to:

[0077] determine a target display area of each target scene based on the target site and the distance range corresponding to each target scene.

[0078] determine target layout information of the target concept objects corresponding to each target scene in the target display area according to the layout rule information corresponding to each target scene, and map the target three-dimensional model with the metadata indexes at a layout position indicated by the target layout information, to obtain a three-dimensional scene graph of the rail micro-center.

[0079] Optionally, the preset rail micro-center scene comprises a preset rail influence area scene, a preset rail core area scene and a preset site internal scene, and the distance ranges between each scene and the target site are different.

[0080] Correspondingly, the model acquisition module is further configured to:

[0081] When the target scenes are more than one, target concept objects are filtered from a preset concept object library according to layout rule information, semantic rule information and configuration rule information in a target TOD rule file matched with each target scene;

[0082] When the target scenes are one and the target scenes are not the preset internal scenes of the site, configuration rule information in a target TOD rule file corresponding to the target scenes is dynamically adjusted, and target concept objects are filtered from the preset concept object library according to layout rule information, semantic rule information and the adjusted configuration rule information in the target TOD rule file matched with each target scene, and the configuration rule information includes model granularity information used for indicating model granularity of a target three-dimensional model.

[0083] Optionally, the model obtaining module is further configured to:

[0084] Based on the layout rule information, first target concept objects are determined from each concept object stored in the preset concept object library, a first model set is obtained according to metadata indexes corresponding to the first target concept objects, and is stored in a first memory area corresponding to the layout rule;

[0085] Based on the semantic rule information, second target concept objects are determined from each concept object stored in the preset concept object library, a second model set is obtained according to metadata indexes corresponding to the second target concept objects, and is stored in a second memory area corresponding to the semantic rule;

[0086] Based on the configuration rule information, third target concept objects are determined from each concept object stored in the preset concept object library, a third model set is obtained according to metadata indexes corresponding to the third target concept objects, and is stored in a third memory area corresponding to the configuration rule;

[0087] An intersection of the first model set stored in the first memory area and the second model set stored in the second memory area is obtained to obtain a first intersection, and the first intersection is stored in a fourth memory area corresponding to the first intersection;

[0088] An intersection of the first intersection stored in the fourth memory area and the third model set stored in the third memory area is obtained to obtain a second intersection, and a three-dimensional model indicated by the second intersection is taken as a target three-dimensional model.

[0089] Optionally, the scene graph constructing module is further configured to:

[0090] A scene element set corresponding to the target scenes is obtained, and it is judged whether the target three-dimensional model covers all scene elements in the scene element set;

[0091] When the result is yes, the target three-dimensional model with metadata index is mapped at the layout position indicated by the target layout information, to obtain a three-dimensional scene graph of the rail micro center;

[0092] When the result is no, a map image corresponding to the target site is acquired, scene graph rendering data corresponding to a target scene element is extracted from the map image, the target three-dimensional model with metadata index is mapped at the layout position indicated by the target layout information, and image rendering is performed through the scene graph rendering data, to obtain a three-dimensional scene graph of the rail micro center, the target scene element being a scene element in the scene element set that is not covered by the target three-dimensional model.

[0093] Optionally, the device further comprises:

[0094] The report generation module is configured to, after the three-dimensional scene graph of the rail micro center centered on the target site is constructed, acquire real scene data in the target scene centered on the target site, extract construction scene data from the three-dimensional scene graph, generate an evaluation report of the rail micro center centered on the target site by comparing the real scene data and the construction scene data, and / or extract construction scene data from the three-dimensional scene graph and generate a development report of the rail micro center centered on the target site based on the scene construction data.

[0095] Optionally, the device further comprises:

[0096] The model construction module is configured to, before the target concept object is filtered from the preset concept object library according to the target TOD rule file matched with each target scene, construct a scene three-dimensional model based on a TOD rule file of the rail micro center.

[0097] The index generation module is configured to generate a corresponding concept description for the scene three-dimensional model, to obtain a concept object, and generate a metadata index for the concept object, the metadata index being used to retrieve the scene three-dimensional model.

[0098] It should be noted that other corresponding descriptions of the various functional units involved in the TOD rule-constrained rail micro center three-dimensional scene construction device provided in the embodiments of the present application can be referred to the corresponding descriptions in the method, which will not be described here in detail. Figures 1 to 5 The corresponding descriptions in the method, which will not be described here in detail.

[0099] The embodiments of the present application also provide a computer device, which can be a personal computer, a server, a network device, etc., such as a server. Figure 7As shown, the computer device includes a bus, a processor, a memory and a communication interface, and can further include an input / output interface and a display device. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The database of the computer device is configured to store location information. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement the steps in the method embodiments.

[0100] Those skilled in the art can understand that, Figure 7 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0101] In one embodiment, a computer readable storage medium is provided, which can be non-volatile or volatile, and has stored thereon a computer program. The computer program is executed by a processor to implement the steps in the method embodiments described above.

[0102] In one embodiment, a computer program product is provided, which includes a computer program. The computer program is executed by a processor to implement the steps in the method embodiments described above.

[0103] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0104] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0105] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0106] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for constructing a three-dimensional scene of a track micro-center under TOD rule constraints, characterized by: include: Based on user input data, determining at least one target scenario from a plurality of preset track micro-center scenarios, and obtaining a target TOD rule file matching each target scenario, each preset track micro-center scenario corresponding to a different distance range; According to the layout rule information, semantic rule information, and configuration rule information in the target TOD rule file that matches each target scenario, a target concept object is screened from a preset concept object library, and a target three-dimensional model is obtained based on the metadata index of the target concept object; Based on the target site, the target three-dimensional model corresponding to each target scene, and the distance range, a track micro-center three-dimensional scene graph centered on the target site is constructed; The preset track micro-center scene includes a preset track influence area scene, a preset track core area scene, and a preset station interior scene, and the distance range between each scene and the target station is different; The target concept object is obtained by screening from a preset concept object library according to the layout rule information, semantic rule information, and configuration rule information in the target TOD rule file that matches each target scenario, including: When there is one target scene and the target scene is not the internal scene of the preset site, the configuration rule information in the target TOD rule file corresponding to the target scene is dynamically adjusted, and the target concept object is screened from the preset concept object library based on the layout rule information, semantic rule information and adjusted configuration rule information in the target TOD rule file matching each target scene, and the configuration rule information includes model granularity information for indicating the model granularity of the target three-dimensional model.

2. The method according to claim 1, characterized in that The method of constructing a track micro-center 3D scene graph centered on the target site based on the target site, the target 3D model corresponding to each target scene, and the distance range includes: Determining a target display area for each target scene based on the target site and the distance range corresponding to each target scene; According to the layout rule information corresponding to each target scene, the target layout information of the target concept object corresponding to the target scene in the target display area is determined, and the target three-dimensional model with metadata index is mapped at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the track micro-center.

3. The method according to claim 2, characterized in that The method further includes filtering the target concept object from the preset concept object library based on the layout rule information, semantic rule information, and configuration rule information in the target TOD rule file that matches each target scenario, and further includes: When there is more than one target scenario, the target concept object is obtained by screening from the preset concept object library according to the layout rule information, semantic rule information and configuration rule information in the target TOD rule file matching each target scenario.

4. The method according to claim 2, characterized in that The method comprises: filtering a target concept object from a preset concept object library according to layout rule information, semantic rule information, and configuration rule information in a target TOD rule file that matches each target scene, and obtaining a target three-dimensional model based on a metadata index of the target concept object. Based on the layout rule information, determining a first target concept object from various concept objects stored in a preset concept object library, obtaining a first model set according to a metadata index corresponding to the first target concept object, and storing the first model set in a first memory area corresponding to the layout rule; Based on the semantic rule information, a second target concept object is determined from each concept object stored in a preset concept object library, and a second model set is obtained according to a metadata index corresponding to the second target concept object, and stored in a second memory area corresponding to the semantic rule; Based on the configuration rule information, a third target concept object is determined from each concept object stored in the preset concept object library, and a third model set is obtained according to a metadata index corresponding to the third target concept object, and stored in a third memory area corresponding to the configuration rule; Intersecting the first model set stored in the first memory area with the second model set stored in the second memory area to obtain a first intersection, and storing the intersection in a fourth memory area corresponding to the first intersection; The first intersection stored in the fourth memory area is intersected with the third model set stored in the third memory area to obtain a second intersection, and the three-dimensional model indicated by the second intersection is used as the target three-dimensional model.

5. The method according to any one of claims 2 to 4, characterized in that Mapping the target three-dimensional model with the metadata index at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the track micro-center includes: Obtaining a scene element set corresponding to the target scene, and determining whether the target three-dimensional model covers all scene elements in the scene element set; When the result is yes, mapping the target three-dimensional model with the metadata index at the layout position indicated by the target layout information to obtain a three-dimensional scene graph of the track micro-center; When the result is no, obtain the map image corresponding to the target site, extract the scene graph rendering data corresponding to the target scene element from the map image, map the target three-dimensional model with the metadata index at the layout position indicated by the target layout information, and perform image rendering through the scene graph rendering data to obtain the three-dimensional scene graph of the track micro-center, where the target scene element is the scene element in the scene element set that is not covered by the target three-dimensional model.

6. The method according to claim 1, characterized in that After constructing the track micro-center three-dimensional scene graph centered on the target site, the method further includes: Acquiring real scene data of the target scene centered on the target site, extracting constructed scene data from the three-dimensional scene graph, and generating an assessment report of the track micro-center centered on the target site by comparing the real scene data and the constructed scene data; and / or, Extracting construction scene data from the three-dimensional scene graph, and generating a development report of a track micro-center centered on the target site based on the scene construction data.

7. The method according to claim 1, characterized in that Before obtaining the target concept object from the preset concept object library based on the target TOD rule file matching each target scenario, the method further includes: Build a 3D scene model based on the TOD rule file of the rail micro-center; A corresponding concept description is generated for the scene three-dimensional model to obtain a concept object, and a metadata index is generated for the concept object. The metadata index is used to retrieve the scene three-dimensional model.

8. A device for constructing a three-dimensional scene of a track micro-center under TOD rule constraints, characterized by: include: A file acquisition module is configured to determine, based on user input data, at least one target scenario from a plurality of preset track micro-center scenarios, and acquire a target TOD rule file matching each target scenario, wherein each preset track micro-center scenario corresponds to a different distance range; A model acquisition module is used to filter target concept objects from a preset concept object library based on the layout rule information, semantic rule information, and configuration rule information in the target TOD rule file that matches each target scenario, and obtain a target three-dimensional model based on the metadata index of the target concept object; A scene graph construction module is used to construct a track micro-center three-dimensional scene graph centered on the target site based on the target site and the target three-dimensional model and distance range corresponding to each target scene; The preset track micro-center scene includes a preset track influence area scene, a preset track core area scene, and a preset station interior scene, and the distance range between each scene and the target station is different; The model acquisition module is further used to: When there is one target scene and the target scene is not the internal scene of the preset site, the configuration rule information in the target TOD rule file corresponding to the target scene is dynamically adjusted, and the target concept object is screened from the preset concept object library based on the layout rule information, semantic rule information and adjusted configuration rule information in the target TOD rule file matching each target scene, and the configuration rule information includes model granularity information for indicating the model granularity of the target three-dimensional model.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

Images