CN-122021254-A - Geographic process simulation method and geographic simulator

CN122021254ACN 122021254 ACN122021254 ACN 122021254ACN-122021254-A

Abstract

The embodiment of the invention discloses a geographic process simulation method and a geographic simulator. The method comprises the steps of obtaining a geographic process to be simulated, decomposing the geographic process into a plurality of geographic sub-processes with causal relation according to a geographic process knowledge graph, and calling simulation models corresponding to the geographic sub-processes in sequence according to the causal relation to finish the simulation of the geographic process. The embodiment can realize the automatic simulation of complex geographic processes involving multiple geographic scenes.

Inventors

GE QUANSHENG
WANG YUAN
ZHAO GANG
LIU YANG
WU MAOWEI
CHEN JIEWEI
TAO ZEXING
LIU JIANGYANG
CAI XIAO
GU XIAOYAN
YUAN WEN
ZHANG XUEZHEN
ZHU MENGYAO

Assignees

中国科学院地理科学与资源研究所

Dates

Publication Date: 20260512
Application Date: 20251227

Claims (10)

1. A method of simulating a geographical process, comprising: Obtaining a geographic process to be simulated; decomposing the geographic process into a plurality of geographic sub-processes with causal relation according to a geographic process knowledge graph; And sequentially calling simulation models corresponding to the geographic subprocesses according to the causal relationship to complete the simulation of the geographic process.
2. The method of claim 1, further comprising, prior to said decomposing the geographic process into causal sub-processes according to a geographic process knowledge-graph: Obtaining a geographic text corpus, wherein the corpus comprises a plurality of text fragments; Extracting geographic scenes appearing in each text segment and time-space information of the geographic scenes by using a natural language technology; determining the space-time distance between the geographic scenes according to the space-time information of each geographic scene; Determining the association strength between the geographic scenes according to the space-time distance between the geographic scenes and the co-occurrence frequency of the geographic scenes in the complete text; and constructing edges among the nodes according to the association strength and the sequence among the geographical scenes by taking the geographical scenes as nodes, and finally generating a geographical process knowledge graph.
3. The method of claim 2, wherein the obtaining a geographic text corpus comprises: Capturing a plurality of geographic texts from the open domain data through geographic scene retrieval; extracting space-time information in each geographic text by using a text space-time quantization calculation frame; and segmenting each geographic text according to the space-time information in each geographic text to obtain a plurality of text fragments.
4. The method of claim 2, wherein extracting the geographic scenes occurring in each text segment using natural language techniques comprises: Performing topic clustering on the text fragments by using an LDA topic model to obtain a plurality of geographic scene topics; assigning at least one geographic scene theme to each text segment; and calibrating each geographic scene theme of each text segment according to the standardized geographic scene classification system to obtain the final geographic scene of each text segment.
5. The method of claim 4, further comprising, prior to calibrating each geo-scene topic of each text segment according to the standardized geo-scene classification hierarchy: adding a multi-label classification layer at the tail end of the pre-trained natural language processing model; Training the natural language processing model added with the classification layer according to a standardized geographical scene classification system, so that the trained model can automatically classify the input geographical scene theme into the standardized geographical scene in the geographical scene classification system.
6. The method of claim 2, wherein the constructing edges between nodes by using each geographical scene as a node according to the association strength and the sequence between each geographical scene, and finally generating the geographical process knowledge graph comprises: taking each geographic scene as a node, and constructing a geographic process time-space diagram according to the association strength and the sequence among the geographic scenes; Utilizing a frequent subgraph mining algorithm to mine frequent subgraphs with occurrence frequency exceeding a set threshold in the time-space diagram of the geographic process; And constructing a geographical process knowledge graph according to the edges in each node and each frequent subgraph.
7. The method of claim 1, wherein decomposing the geographic process into a plurality of geographic sub-processes with causal relation according to a geographic process knowledge graph comprises designating a large model as a GIS geographic process planning and decomposing assistant for other intelligent agents, indicating the large model to decompose the geographic process into a plurality of geographic sub-processes arranged in sequence according to the geographic process knowledge graph, returning tool names, sequences, input and output and key parameters required to be called by each geographic sub-process; Correspondingly, sequentially calling simulation models corresponding to all the geographic sub-processes according to the causal relationship to complete the simulation of the geographic process, wherein the sequentially calling simulation models corresponding to all the geographic sub-processes according to the adjusted simulation requirements to complete the simulation of the geographic process.
8. The method of claim 1, wherein decomposing the geographic process into a plurality of causal geographic sub-processes according to a geographic process knowledge graph comprises: Identifying at least one first class geographic scene related to the geographic process and causal relationship thereof according to the geographic process knowledge graph; according to the frequent subgraphs related to each primary class of geographic scene, decomposing each primary class of geographic scene into a plurality of secondary class geographic scene chains with causal relation; Establishing a causal relationship between the secondary class geographic scene chains according to the causal relationship between the primary class geographic scenes; And taking each secondary geographic scene as each geographic sub-process to obtain a geographic sub-process chain with causal relation.
9. A geographic simulator, comprising: The geographic process acquisition module is used for acquiring a geographic process to be simulated; The geographic process decomposition module is used for decomposing the geographic process into a plurality of geographic sub-processes with causal relationship according to a geographic process knowledge graph; and the geographic process simulation module is used for sequentially calling simulation models corresponding to all geographic sub-processes according to the causal relationship to complete the simulation of the geographic process.
10. An electronic device, comprising: one or more processors; A memory for storing one or more programs; When executed by the one or more processors, causes the one or more processors to implement the geographic process simulation method of any of claims 1-8.

Description

Geographic process simulation method and geographic simulator Technical Field The embodiment of the invention relates to the technical field of geographic information systems and geographic process simulation, in particular to a geographic process simulation method and a geographic simulator. Background Geographic process simulation is a key means for understanding and predicting complex geographic system behaviors, and is widely applied to the fields of climate change research, energy planning, natural disaster assessment and the like. In the prior art, the geographic process simulation mainly surrounds two core methods, namely a numerical model based on a physical law and an artificial intelligence model based on data driving. However, whether it be a physical model or an artificial intelligence model, the objects it simulates are typically single geographic scenes, such as simulating urban flood scenes, and complex geographic process simulations involving multiple geographic scenes cannot be achieved. Disclosure of Invention The embodiment of the invention provides a geographic process simulation method and a geographic simulator, which are used for solving the technical problems. In a first aspect, an embodiment of the present invention provides a geographic process simulation method, including: Obtaining a geographic process to be simulated; decomposing the geographic process into a plurality of geographic sub-processes with causal relation according to a geographic process knowledge graph; And sequentially calling simulation models corresponding to the geographic subprocesses according to the causal relationship to complete the simulation of the geographic process. In a second aspect, an embodiment of the present invention provides a geographic simulator, including: The geographic process acquisition module is used for acquiring a geographic process to be simulated; The geographic process decomposition module is used for decomposing the geographic process into a plurality of geographic sub-processes with causal relationship according to a geographic process knowledge graph; and the geographic process simulation module is used for sequentially calling simulation models corresponding to all geographic sub-processes according to the causal relationship to complete the simulation of the geographic process. In a third aspect, an embodiment of the present invention provides an electronic device, including: one or more processors; A memory for storing one or more programs; The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the geographic process simulation method as described in any of the embodiments. In summary, the present embodiment provides a geographic process simulation method and a geographic simulator, which construct a causal knowledge framework through a geographic process knowledge graph, intelligently fuse a geographic process simulation model based on the framework, and drive an automatic and reliable simulation workflow through a natural language interface. The method realizes sub-process decomposition and intelligent recombination of the geographic process, improves simulation efficiency while maintaining physical rule constraint, enhances the interpretability and reliability of a model through process chain and causal constraint, reduces the use threshold of a geographic simulator, supports multi-field decision (such as energy planning and environment assessment), and promotes the crossing of geography from phenomenon description to mechanism understanding and prediction early warning. Through the method, the embodiment successfully realizes the conversion of geographic simulation from 'manual assembly and experience driving' to 'intelligent generation and knowledge driving', and provides a new approach for the simulation of a complex geographic process. Drawings In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art. FIG. 1 is a flow chart of a geographic process simulation method provided by an embodiment of the invention; FIG. 2 is a schematic diagram of a knowledge graph of a geographic process constructed in accordance with an embodiment of the present invention; FIG. 3 is a flow chart of another method of simulating a geographic process provided by an embodiment of the invention; FIG. 4 is a schematic diagram of a geographic process simulation result provided by an embodiment of the present invention; FIG. 5 is a schematic diagram of a geographic simulator according to an embodiment of the present invention; Fig. 6 is a sche