Geographic scene intelligent computing system and method

Abstract

The invention discloses a geographic scene intelligent computing system and method, and belongs to the field of geographic space information. The invention discloses a geographic scene intelligent calculation system. A geographic scene comprises a scene model, geographic data and model calculation. The scene model comprises a geographic model, geographic knowledge and an object space, and the geographic model performs modeling for a geographic process on a geographic scene to form a geographic process analysis and dynamic simulation calculation process; the geographic data comprises a model data set and a basic data set, the model data set is used for calculating a data set list required by a geographic model on the geographic scene, and the basic data set is used for visualized display of the geographic scene; the model calculation comprises data input, data output and a calculation process, and the calculation process of the geographic model comprises a calculation process, a calculation node and a calculation state; according to the method, the problem of cross-layer and multi-element combined geographic space comprehensive analysis and calculation in the prior art is solved, and multi-geographic-element combined complex geographic space intelligent calculation is realized.

Description

Technical Field

[0001] The present invention relates to the field of geographic space information technology, and in particular to a geographic scene intelligent computing system and method. Background Art

[0002] A geographic scene refers to a geographical complex formed by the interconnection and interaction of various geographical elements within a certain time and space range. In the existing technical solutions, the geographic scene is mainly organized in a layered manner (such as Figure 1 It deconstructs the real geographical world into a series of independent layers with the same type and data structure (for example, road layer, water system layer, vegetation layer, etc.) according to the types and attributes of geographical elements such as roads, water systems, and vegetation, and then overlays multiple layers according to spatial positions to form a geographical scene to express the real geographical world; the organization method and data structure of the layered geographical scene are simple, and it is adopted by mainstream geographic information system software such as ArcGIS and QGIS, mainly for the visualization of geographical scenes; based on visualization technologies such as virtual reality and augmented reality, the existing geographical scenes can already realistically express the real geographical world. .

[0003] The existing layering technology solutions are not suitable for geospatial analysis and calculation in geographic scenes, especially for geospatial analysis and calculation that requires the integration of multiple geographic elements across layers; the existing technology solutions have the following disadvantages:

[0004] 1. Information loss, making it difficult to support comprehensive geospatial analysis and calculations related to multiple geographic entities. Existing technical solutions deconstruct the real geographic world into a series of independent layers. The geographic elements between the layers are isolated from each other, and the inherent relationship between geographic entities in the real geographic world is lost. Therefore, it is difficult to support comprehensive geospatial analysis and calculations that require the linkage of multiple layers.

[0005] 2. Lack of semantic information makes it difficult to suggest the relationship between geographic elements: Existing technical solutions are mainly aimed at geographic scene visualization, which deconstructs geographic elements such as trees, roads, and lakes into basic data structures such as points, lines, and surfaces, which are convenient for visualization engines to render. However, this method loses the semantic information of geographic elements, and it is difficult to restore points, lines, and surfaces to geographic elements such as trees, roads, and lakes, so it is difficult to construct the relationship between geographic elements.

[0006] 3. Static expression makes it difficult to realize dynamic computational simulation of geographic events driven by geographic models; existing geographic scenes are mainly oriented towards visual expression, and are constructed with geographic spatiotemporal data as the center, lacking the support of inherent geographic spatial analysis models. Therefore, existing geographic scenes can only statically express the state of the real geographic environment at a certain moment, and it is difficult to express the dynamic change process of the geographic scene. Although the existing technical solution can organize the state of the geographic scene at N time points in chronological order and display the changes of the geographic scene in the form of time series animation, this technical solution is only the visual change of the geographic scene at N moments, and cannot reflect the internal mechanism of the dynamic change of the geographic scene.

[0007] In view of this, the present invention is proposed. Summary of the invention

[0008] The purpose of the present invention is to solve the problems existing in the prior art and to propose a geographical scene intelligent computing system and method.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions:

[0010] A geographical scene intelligent computing system, the geographical scene includes a scene model, geographical data and model calculation;

[0011] in,

[0012] The scene model includes a geographical model, geographical knowledge and object space.

[0013] The model is used to model geographic processes in geographic scenarios, forming geographic process analysis and dynamic modeling.

[0014] The proposed calculation process;

[0015] The geographic data includes a model data set and a basic data set.

[0016] A list of datasets required for computing geographic models on geographic scenes. The basic datasets are used to

[0017] Visual display of geographical scenes;

[0018] The model calculation manages the calculation process of the geographic model on the geographic scene.

[0019] The calculation includes input data, output data and calculation process. The calculation process of the geographic model includes

[0020] It includes computing process, computing nodes and computing status.

[0021] Furthermore, the scene model solves the problem of computational simulation of geographic scenes, the scene model is associated with the geographic model, and the geographic data solves the problem of visual expression of geographic scenes.

[0022] Furthermore, the geographic model models the geographic process on the geographic scene to form a computational process of geographic process analysis and dynamic simulation. The object space corresponds to the geographic element. The object space constructs the semantic modeling of the geographic element based on the object technology. The geographic knowledge constructs the association rules between the object spaces and the computational logic of the geographic model based on the knowledge graph. The object space and the geographic model modeling on the geographic scene are realized through the geographic knowledge rules and knowledge reasoning.

[0023] The geographic model involves multiple calculation steps, and the basic geographic model needs to be assembled into a complex geographic workflow model in a process-oriented manner according to the logic of the geographic event process.

[0024] Furthermore, the geographical knowledge includes basic geographical knowledge and domain geographical knowledge; the basic geographical knowledge includes topological relationships and orientation relationships, and the topological relationships and orientation relationships are used to construct basic connections between object spaces; the domain geographical knowledge constructs a knowledge base based on application domain logic; the functions of the geographical knowledge include association relationships and constraint relationships.

[0025] Further, the model data set includes input data, intermediate calculation results and final results of geographic model calculation; the model data set corresponds to the object space in the scene model, and the model data set is data describing the geographic model from the perspective of map visualization of the geographic model data on the geographic scene;

[0026] The model dataset is associated with the layer style required for visualization rendering. The geographic scene loads the model dataset and draws it as a map image according to the associated layer style, which is visualized on the geographic scene, expressing the spatial characteristics of the intermediate calculation results and final calculation results of the geographic model in a visual way.

[0027] Furthermore, the geographic scene parses the geographic model to obtain an initial input data list, the input data is an initial input data list of a complex geographic workflow model, and the output data is a final output result data set calculated by the scene model.

[0028] Furthermore, each calculation step in the calculation process corresponds to a node in the geographic workflow model, which is used to set input data, output data and parameters required for the model calculation. The geographic scene generates recommended model parameters and input data parameters through the associated geographic knowledge, and obtains the calculation status in real time during the calculation process.

[0029] Furthermore, the calculation process of the geographic scene is as follows:

[0030] Step 1: Start executing the geographic workflow model;

[0031] Step 2: Check the validity of the model parameters to ensure that the geographic workflow model is executable;

[0032] Step 3: Geographic workflow model execution planning;

[0033] Execute the execution plan of the geographic workflow model and generate the execution sequence of the workflow graph model;

[0034] Step 4: Execute model calculation;

[0035] According to the workflow model execution plan, the geographic model sequence is executed in order, namely model calculation 1, model calculation 2...model calculation n, and the calculation results of the previous model will be used as the input data of the subsequent model;

[0036] Step 5: Output the calculation results and complete the calculation;

[0037] After completing the entire execution sequence, the geographic scene outputs the execution results and completes the calculation.

[0038] Furthermore, the calculation process of the model calculation n is as follows:

[0039] Step 1: Determine input data

[0040] The input data of model calculation n includes the calculation result of model calculation n-1 and the preset data of model calculation n. Model calculation n-1 is the predecessor model of model calculation n. Model calculation n will receive the calculation result of model calculation n as part of its input data. The result data of model calculation n-1 is the deterministic input data of model calculation n.

[0041] Step 2: Determine execution parameters;

[0042] The execution parameters of model calculation n also need to be determined based on the output results of the previous model n-1. Based on the output results of the previous model n-1, the domain knowledge in the geographic knowledge base is used for reasoning to generate execution parameters that are compatible with the current model input data and calculation status.

[0043] Step 3: Execute the model calculation and output the result as the input data for model calculation n+1.

[0044] A method for intelligent computing of geographic scenes. In the process of computing a geographic workflow model of a geographic scene, the current geographic model autonomously and dynamically sets the execution parameters and input data of the current geographic model based on the calculation results of the previous geographic model and the geographic knowledge base on the geographic scene through geographic knowledge reasoning to realize intelligent computing of the geographic scene.

[0045] Compared with the prior art, the present invention provides a geographical scene intelligent computing system and method, which has the following beneficial effects:

[0046] 1. The geographic scene intelligent computing system integrates geographic knowledge and geographic space objects through the geographic scene with the geographic model as the core; it constructs an organically related and interactive geographic space based on geographic knowledge. The geographic scene of the present invention solves the problem of the spatial relationship of geographic elements between layers being severed due to the layer-by-layer geographic scene organization method of the prior art solution.

[0047] 2. The geographic scene intelligent computing system solves the geographic spatial intelligent analysis and computing of the association of geographical elements across layers and the linkage of multiple geographical elements in the geographic scene; geographic scene intelligent computing means that the geographic scene can adaptively construct a geographic model structure according to specific geographic problems. In the process of geographic scene model calculation, it can adaptively select model parameters and input data that are suitable for geographic problems to better analyze and simulate geographic scenes. The method of this application constructs geographic scenes with the geographic spatial analysis model as the center, models the spatiotemporal object data of the real geographic world based on the object-oriented method, and uses geographic spatial knowledge to construct the association relationship between spatiotemporal objects, forming a geographic object space that is interconnected and interactive between various spatiotemporal objects such as roads, rivers, and bridges, solving the problem of cross-layer and multi-element joint geographic spatial comprehensive analysis and computing in the existing technical solutions. With the support of domain geographic knowledge, this application realizes complex geographic spatial intelligent computing of multiple geographic elements. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of a geographic scene technical solution in the prior art;

[0049] Figure 2 A schematic diagram of the geographical scene structure of a geographical scene intelligent computing system proposed by the present invention;

[0050] Figure 3 A schematic diagram of geographical knowledge in a geographical scene intelligent computing system proposed by the present invention;

[0051] Figure 4 A schematic diagram of a complex geographic workflow model in a geographic scene intelligent computing system proposed by the present invention;

[0052] Figure 5 A schematic diagram of the process of geographic scene calculation in a geographic scene intelligent calculation system proposed by the present invention;

[0053] Figure 6 A schematic diagram of the flow of model calculation execution in a geographic scenario intelligent computing system proposed by the present invention. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0055] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0056] Embodiment 1:

[0057] Reference Figure 2-6 A geographic scene intelligent computing system, the geographic scene includes a scene model, geographic data and model calculation; wherein the scene model includes a geographic model, geographic knowledge and object space, the geographic model models the geographic process on the geographic scene, and forms a computing process of geographic process analysis and dynamic simulation; the geographic data includes a model data set and a basic data set, the model data set is used to calculate the data set list required for the geographic model on the geographic scene, and the basic data set is used for the visualization of the geographic scene; the model calculation manages the computing process of the geographic model on the geographic scene, the model calculation includes input data, output data and computing process, and the computing process of the geographic model includes computing process, computing node and computing status.

[0058] The scene model solves the computational simulation problem of the geographic scene. The scene model is associated with the geographic model, and the geographic data solves the visualization expression problem of the geographic scene.

[0059] In this application, the scene model solves the computational simulation problem of the geographic scene; the scene model is associated with a certain geographic model; the analysis, calculation and simulation of certain geographic problems in the geographic scene are realized through the calculation of the geographic model; the geographic data solves the problem of visual expression of the geographic scene; this application and Figure 1 The geographic scene technical solution in the prior art shown is compatible and is an extension of the geographic scene of the prior art solution. When the geographic scene of the present application is not associated with the geographic model, the geographic scene is the geographic scene of the prior art solution; model calculation solves the calculation process management problem of the geographic scene, and model calculation handles the model parameter definition, calculation process and calculation status related to the geographic model calculation.

[0060] The model scenario defines the geographic model required for geospatial computing on the geographic scene; the model scenario includes three parts: geographic model, geographic knowledge, and object space.

[0061] The geographic model models the geographic process in the geographic scene, forming a computational process of geographic process analysis and dynamic simulation. The object space corresponds to the geographic elements. The object space constructs the semantic modeling of the geographic elements based on object technology. The geographic knowledge constructs the association rules between the object spaces and the computational logic of the geographic model based on the knowledge graph. The object space and geographic model modeling in the geographic scene are realized through geographic knowledge rules and knowledge reasoning. The geographic model involves multiple computational steps. The basic geographic model needs to be assembled into a complex geographic workflow model in a process-based manner according to the logic of the geographic event process.

[0062] Specifically, the geographic model models the geographic process in the geographic scene, forming a computational process for geographic process analysis and dynamic simulation. The geographic process involves multiple computational steps, and it is necessary to process and assemble the basic geographic model into a complex geographic workflow model according to the logic of the geographic event process. The basic geographic model refers to an atomic-level indivisible geographic model; for example, a terrain slope calculation model, a spatial query model, etc. Figure 4 It is an example of a complex geographic workflow model; it assembles basic geographic models into a complex workflow model according to model logic; during the calculation process, the model performs calculations according to the workflow sequence.

[0063] Object space is geographic object space; the present application adopts object-oriented technology to perform semantic modeling on geographic elements and construct geographic objects corresponding to geographic elements; for example, trees, roads, lakes, etc. are abstracted into geographic objects such as trees, roads, lakes, etc.; the association relationship between geographic objects is constructed at the semantic level to form an organic whole in which various geographic objects are interconnected and interact with each other. The association relationship includes distance relationship, orientation relationship, topological relationship, correlation relationship, etc., and different types of geographic objects are connected into a unified whole through the association relationship. For example, the association between soil parent material and meteorological data can be found through the association relationship of geographic objects, and then the two can be associated for comprehensive analysis and calculation; the object space of the present invention solves the problem of cross-layer query and retrieval of geographic elements in the prior art solution, and supports the problem of cross-layer comprehensive geographic analysis and calculation.

[0064] Geographical knowledge includes basic geographical knowledge and domain geographical knowledge; basic geographical knowledge includes topological relationships and orientation relationships. Topological relationships and orientation relationships are used to construct basic connections between object spaces; domain geographical knowledge builds a knowledge base based on application domain logic; the role of geographical knowledge includes association relationships and constraint relationships.

[0065] Specifically, geographic knowledge constructs association rules and geographic model calculation logic between geographic objects based on knowledge graphs; intelligent modeling of geographic object space and geographic models in geographic scenes is realized through geographic knowledge rules and knowledge reasoning; in this application, geographic knowledge mainly includes basic geographic knowledge and domain geographic knowledge. Basic geographic knowledge includes basic geographic knowledge such as topological relationships and orientation relationships, which are used to construct basic connections between geographic objects; domain knowledge constructs a knowledge base for specific application domain logic. For example, soil mapping and path planning belong to different fields and need to build their own domain knowledge; in this application, the main functions of geographic knowledge include association relationships and constraint relationships. An association relationship connects two geographic objects or geographic models together, and a constraint relationship defines the constraint conditions of the association relationship. Only association relationships that meet the constraint conditions can be established.

[0066] For geographic objects, the relationship between them is constructed through geographic knowledge to form a relationship network between them. The association relationship between geographic objects is inferred based on the relationship network of the object space. On the one hand, it solves the association problem of multiple geographic elements across layers. On the other hand, it mines the potential relationship between geographic objects through geographic knowledge reasoning, supports geographic models to discover input data and execution parameters that match model calculations, and realizes intelligent geographic spatial analysis and calculations.

[0067] For geographic models, guided by the geographic process logic, association relationships, and constraint relationships contained in the domain knowledge graph, the geographic model calculation logic and the upstream and downstream model relationships in the geographic workflow model are constructed, forming a geographic model closely related to geographic issues and solving the uncertainty problem of geographic model construction that lacks geographic knowledge support. Figure 4 Taking the complex geographic workflow model shown in the figure as an example, the basic geographic model is constructed as a workflow geographic model that calculates the terrain index from DEM data through the logic contained in the terrain index geographic knowledge graph.

[0068] It should be noted that the model dataset is a list of datasets required for geographic model calculation on the geographic scene; the model dataset participates in the geographic model calculation process, and the model dataset includes the input data, intermediate calculation results and final results of the geographic model calculation. Figure 4 The workflow structure of the geographic model shown in the figure parses each geographic model node from the geographic workflow model to obtain the model dataset list required for model calculation. Figure 2 The geographic dataset list under the model dataset node is shown as Figure 2 The geographic datasets associated with the geographic model calculations.

[0069] The model dataset corresponds to the object space in the scene model. The object space describes the data of the geographic model from the perspective of geographic objects and their relationships. The model dataset describes the geographic model from the perspective of map visualization of the geographic model data on the geographic scene. The model dataset is associated with the layer styles required for visualization rendering, such as graded coloring style, heat map style, etc. The geographic scene loads the model data and draws it as a map image according to the associated layer style for visualization on the geographic scene. The spatial characteristics of the intermediate and final calculation results of the geographic model are expressed in a visual way.

[0070] The model dataset includes the input data, intermediate calculation results and final results of the geographic model calculation; the model dataset corresponds to the object space in the scene model, and the model dataset is the data that describes the geographic model from the perspective of map visualization of the geographic model data on the geographic scene; the model dataset is associated with the layer style required for visualization rendering, the geographic scene loads the model dataset, and draws it as a map image according to the associated layer style, which is visualized on the geographic scene, expressing the spatial characteristics of the intermediate calculation results and final calculation results of the geographic model in a visual way.

[0071] The basic data set does not participate in the calculation of the geographic model and is mainly used for the visualization of geographic scenes. The basic data is used as an auxiliary to the geographic model and is visualized on the scene to enhance the spatial properties of the results of the geographic model calculation. The basic data set is equivalent to the layer of the geographic scene in the prior art solution. When the geographic scene is not associated with the geographic model, the scene of the present invention will be consistent with the geographic scene of the prior art solution.

[0072] The geographic scene parses the geographic model to obtain the initial input data list. The input data is the initial input data list of the complex geographic workflow model, and the output data is the final output result dataset calculated by the scene model.

[0073] Each calculation step in the calculation process corresponds to a node in the geographic workflow model, which is used to set the input data, output data and parameters required for the model calculation. The geographic scene generates recommended model parameters and input data parameters through the associated geographic knowledge. During the calculation process, the calculation status is obtained in real time.

[0074] The input data is Figure 4 The initial input data list of the geographic workflow model shown is that the geographic scene parses the geographic model to obtain the initial data list. The input data is the data required for the geographic scene model calculation. When the geographic scene executes the geographic model calculation, the initial data is first checked for integrity and legality to ensure that the geographic model can be executed.

[0075] The output data is the final output result dataset calculated by the geographic scene model, such as Figure 2 As shown, the final result data set list of the geographic scene model calculation is listed under the output data node. Through the input data and output data nodes, the geographic scene of the present invention clearly displays the original input and final result of the geographic model calculation on the geographic scene.

[0076] The calculation process manages the process of geographic model calculation on the geographic scene. The geographic model calculation process includes three parts: calculation process, calculation node and calculation status.

[0077] The calculation process refers to the calculation execution process of the geographic workflow model. In the initial state of the geographic model calculation execution, the calculation task planning is executed. Figure 4 The geographic workflow model shown is transformed into a serialized computational process. The N sequential computational steps under the computational process node in Figure 2 are the computational process of the geographic model.

[0078] Each calculation step in the calculation process corresponds to a node in the geographic workflow model, that is, a geographic model. The geographic model sets the input data, output data and parameters required for the model calculation; for example, the KMeans clustering model needs to set the number of clusters k as a parameter; the geographic scene generates recommended model parameters and input data parameters for each model calculation through the associated geographic knowledge.

[0079] The geographic scene of the present invention records the calculation status of the geographic model during the calculation process; during the calculation process of the geographic model, the geographic scene obtains the calculation status of the geographic model in the calculation steps in real time.

[0080] The geographic scene calculation process of the present invention is as follows Figure 5 As shown, the calculation process of the geographic scene is as follows:

[0081] Step 1: Start executing the geographic workflow model;

[0082] Step 2: Check the validity of the model parameters to ensure that the geographic workflow model is executable;

[0083] Step 3: Geographic workflow model execution planning;

[0084] Execute the execution plan of the geographic workflow model and generate the execution sequence of the workflow graph model;

[0085] Step 4: Execute model calculation;

[0086] According to the workflow model execution plan, the geographic model sequence is executed in order, namely model calculation 1, model calculation 2...model calculation n, and the calculation results of the previous model will be used as the input data of the subsequent model;

[0087] Step 5: Output the calculation results and complete the calculation;

[0088] After completing the entire execution sequence, the geographic scene outputs the execution results and completes the calculation.

[0089] The intelligent computing of geographic scenes of the present invention is reflected in the model computing process. The geographic model autonomously selects input data and model parameters that are compatible with the computing state based on the computing results of the previous model and supported by geographic knowledge, so that the geographic model computing process can intelligently adapt to the computing state and environment of the geographic scene.

[0090] The specific model calculation process is as follows: Figure 6 shown. Figure 6 yes Figure 5 The refinement of the model calculation nodes in the model calculation n is as follows:

[0091] Step 1: Determine input data

[0092] The input data of model calculation n includes the calculation result of self-model calculation n-1 and the preset data of model calculation n. Model calculation n-1 is the previous model of model calculation n. Model calculation n will receive the calculation result of model calculation n as part of its input data. The result data of model calculation n-1 is the deterministic input data of model calculation n. However, the preset input data of model calculation n cannot be completely determined. When setting the preset input data in the geographic model building stage, the retrieval conditions of the preset input data are set. In the model calculation stage, the value of the preset input data is dynamically determined according to the previous input data of the model. At this time, based on the geographic knowledge base of the geographic scene, the target data set is autonomously retrieved in the geographic object space according to the calculation result of the previous model as the specific value of the preset parameter of the model by using knowledge reasoning.

[0093] Step 2: Determine execution parameters;

[0094] The execution parameters of model calculation n also need to be determined based on the output results of the previous model n-1. Based on the output results of the previous model n-1, the domain knowledge in the geographic knowledge base is used for reasoning to generate execution parameters that are compatible with the current model input data and calculation status.

[0095] Step 3: Execute the model calculation and output the result as the input data for model calculation n+1.

[0096] In summary, the geographic scene of the present invention is aimed at geographic analysis and calculation on geographic scenes. The geographic scene takes the geographic model as the core, integrates geographic knowledge and geographic space objects, and constructs an organically related and interactive geographic space based on geographic knowledge. The geographic scene of the present invention solves the problem of the spatial relationship of geographic elements between layers caused by the layer-based geographic scene organization method of the prior art solution.

[0097] Embodiment 2:

[0098] A method for intelligent computing of geographic scenes. In the process of computing a geographic workflow model of a geographic scene, the current geographic model autonomously and dynamically sets the execution parameters and input data of the current geographic model based on the calculation results of the previous geographic model and the geographic knowledge base on the geographic scene through geographic knowledge reasoning to realize intelligent computing of the geographic scene.

[0099] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A geographical scene intelligent computing system, characterized in that: The geographic scenario includes scenario model, geographic data and model calculation; in, The scene model includes a geographic model, geographic knowledge and object space. The geographic model models the geographic process on the geographic scene to form a computational process for geographic process analysis and dynamic simulation. The geographic data includes a model data set and a basic data set, wherein the model data set is used to calculate a data set list required for a geographic model on a geographic scene, and the basic data set is used for visualization of the geographic scene; The model calculation manages the calculation process of the geographic model on the geographic scene. The model calculation includes input data, output data and calculation process. The calculation process of the geographic model includes calculation process, calculation nodes and calculation status.

2. A geographic scene intelligent computing system according to claim 1, characterized in that: The scene model solves the problem of computational simulation of geographic scenes, the scene model is associated with a geographic model, and the geographic data solves the problem of visual expression of geographic scenes.

3. A geographic scene intelligent computing system according to claim 2, characterized in that: The geographic model models the geographic process on the geographic scene to form a computational process of geographic process analysis and dynamic simulation. The object space corresponds to the geographic elements. The object space constructs the semantic modeling of the geographic elements based on the object technology. The geographic knowledge constructs the association rules between the object spaces and the computational logic of the geographic model based on the knowledge graph. The object space and the geographic model modeling on the geographic scene are realized through the geographic knowledge rules and knowledge reasoning. The geographic model involves multiple calculation steps, and the basic geographic model needs to be assembled into a complex geographic workflow model in a process-oriented manner according to the logic of the geographic event process.

4. A geographic scene intelligent computing system according to claim 3, characterized in that: The geographical knowledge includes basic geographical knowledge and domain geographical knowledge; The basic geographical knowledge includes topological relationships and azimuthal relationships, and the topological relationships and azimuthal relationships are used to construct basic connections between object spaces; The domain geographical knowledge constructs a knowledge base for application domain logic; the functions of the geographical knowledge include association relationships and constraint relationships.

5. The geographic scene intelligent computing system according to claim 1, characterized in that: The model data set includes input data, intermediate calculation results and final results of geographic model calculation; the model data set corresponds to the object space in the scene model, and the model data set is data describing the geographic model from the perspective of map visualization of the geographic model data on the geographic scene; The model dataset is associated with the layer style required for visualization rendering. The geographic scene loads the model dataset and draws it as a map image according to the associated layer style, which is visualized on the geographic scene, expressing the spatial characteristics of the intermediate calculation results and final calculation results of the geographic model in a visual way.

6. A geographic scene intelligent computing system according to claim 5, characterized in that: The geographic scene parses the geographic model to obtain an initial input data list, the input data is an initial input data list of a complex geographic workflow model, and the output data is a final output result data set calculated by the scene model.

7. A geographic scene intelligent computing system according to claim 6, characterized in that: Each calculation step in the calculation process corresponds to a node in the geographic workflow model, which is used to set input data, output data and parameters required for the model calculation. The geographic scene generates recommended model parameters and input data parameters through the associated geographic knowledge. During the calculation process, the calculation status is obtained in real time.

8. The geographic scene intelligent computing system according to claim 1, characterized in that: The calculation process of the geographic scene is as follows: Step 1: Start executing the geographic workflow model; Step 2: Check the validity of the model parameters to ensure that the geographic workflow model is executable; Step 3: Geographic workflow model execution planning; Execute the execution plan of the geographic workflow model and generate the execution sequence of the workflow graph model; Step 4: Execute model calculation; According to the workflow model execution plan, the geographic model sequence is executed in order, namely model calculation 1, model calculation 2...model calculation n, and the calculation results of the previous model will be used as the input data of the subsequent model; Step 5: Output the calculation results and complete the calculation; After completing the entire execution sequence, the geographic scene outputs the execution results and completes the calculation.

9. A geographic scene intelligent computing system according to claim 8, characterized in that: The calculation process of the model calculation n is as follows: Step 1: Determine input data The input data of model calculation n includes the calculation result of model calculation n-1 and the preset data of model calculation n. Model calculation n-1 is the predecessor model of model calculation n. Model calculation n will receive the calculation result of model calculation n as part of its input data. The result data of model calculation n-1 is the deterministic input data of model calculation n. Step 2: Determine execution parameters; The execution parameters of model calculation n also need to be determined based on the output results of the previous model n-1. Based on the output results of the previous model n-1, the domain knowledge in the geographic knowledge base is used for reasoning to generate execution parameters that are compatible with the current model input data and calculation status. Step 3: Execute the model calculation and output the result as the input data for model calculation n+1.

10. A geographic scene intelligent computing method, comprising a geographic scene intelligent computing system according to any one of claims 3 to 9, characterized in that: During the calculation process of the geographic workflow model of the geographic scene, the current geographic model dynamically sets the execution parameters and input data of the current geographic model based on the calculation results of the previous geographic model and the geographic knowledge base on the geographic scene through geographic knowledge reasoning, thereby realizing intelligent calculation of the geographic scene.

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