CN-121980816-A - Ecological environment digital twin method, system, electronic equipment and storage medium

CN121980816ACN 121980816 ACN121980816 ACN 121980816ACN-121980816-A

Abstract

The invention provides an ecological environment digital twin method, an ecological environment digital twin system, electronic equipment and a storage medium, and relates to the technical field of digital twin, wherein the method comprises the steps of acquiring and preprocessing multi-source ecological environment data to obtain a data map; and carrying out simulation calculation of the ecological parameters based on the set simulation parameters and the initial state of the three-dimensional ecological scene by utilizing a scientific mechanism model, and updating the simulation calculation result to the data map so as to drive the dynamic reconstruction of the three-dimensional ecological scene. According to the invention, the multi-source ecological environment data and the programming content generation technology are deeply combined, so that the automatic construction, dynamic evolution and intelligent prediction of the three-dimensional ecological scene are realized, and the problems of high cost, static model, low fusion degree of data and scene and lack of prediction capability of large-scale ecological digital twin construction in the prior art are solved.

Inventors

LI SHIJIE
SUN HAORAN
LI ZIDONG
WANG WEIJIA

Assignees

中电信数字城市科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260330

Claims (10)

1. An ecological digital twinning method, comprising: Acquiring and preprocessing multisource ecological environment data to obtain a standardized data map corresponding to the geospatial coordinates; generating a PCG rule based on pre-established programming content, and generating a three-dimensional ecological scene corresponding to the data map, wherein the PCG rule defines a mapping relation between three-dimensional visual expression of ecological elements and parameter values of corresponding coordinate positions in the data map; And carrying out simulation calculation of the ecological parameters based on the set simulation parameters and the initial state of the three-dimensional ecological scene by utilizing a scientific mechanism model, and updating a simulation calculation result to the data map so as to drive dynamic reconstruction of the three-dimensional ecological scene.
2. The method of claim 1, wherein the ecological environment data comprises one or more of macroscopic geographic information data, mesoscopic observation data, microscopic sensing data and manual recording data, the data map is a two-dimensional image, the spatial positions of pixels of the two-dimensional image correspond to real geographic coordinates, and the numerical values of the pixels represent at least one ecological parameter.
3. The digital twinning method of an ecological environment of claim 1, wherein the PCG rules comprise: a macro scene generation rule for automatically generating three-dimensional terrain according to the terrain data; An ecological element layout rule for automatically laying out a three-dimensional model of ecological elements in the corresponding region; And the ecological attribute association rule is used for associating at least one visual representation of the three-dimensional model of the ecological element in size, density, color, model type and health state to the parameter value of the corresponding coordinate position in the data map.
4. The method of claim 3, wherein the terrain data comprises digital elevation model DEM data, wherein the generating PCG rules based on pre-established programming content, generating the three-dimensional ecological scene corresponding to the data map comprises: generating a target three-dimensional terrain according to the DEM data in the data map and the macroscopic scene generation rule; determining generation points of ecological elements in the target three-dimensional terrain according to the land block boundaries in the data map and the ecological element layout rules; And for each generation point, determining the target visual representation of the ecological element according to the parameter value of the corresponding coordinate position in the data map through the ecological attribute association rule, and filling the three-dimensional model of the ecological element under the target visual representation.
5. The digital twin method according to claim 1, wherein the performing simulation calculation of the ecological parameters based on the set simulation parameters and the initial state of the three-dimensional ecological scene using the scientific mechanism model and updating the simulation calculation result to the data map to drive dynamic reconstruction of the three-dimensional ecological scene comprises: acquiring current ecological parameters from the three-dimensional ecological scene as an initial state of the three-dimensional ecological scene; According to the set simulation parameters and the initial state of the three-dimensional ecological scene, calculating the ecological parameter change at the future time point by using the scientific mechanism model to obtain a simulation calculation result; mapping and updating the simulation calculation result to the data map; based on the updated data map, automatically updating the visual representation of the three-dimensional ecological scene through the PCG rule.
6. The digital twinning method of claim 1, wherein the scientific mechanism model comprises a crop growth model or a hydrodynamic model.
7. The digital twinning method of claim 1, wherein the PCG rules are defined and executed within a PCG module that runs in a three-dimensional engine that includes a fantasy engine.
8. An ecological digital twinning system, comprising: The acquisition module is used for acquiring and preprocessing multisource ecological environment data to obtain a standardized data map corresponding to the geographic space coordinates; The generation module is used for generating PCG rules based on pre-established programming content and generating a three-dimensional ecological scene corresponding to the data map, wherein the PCG rules define a mapping relation between three-dimensional visual manifestations of ecological elements and parameter values of corresponding coordinate positions in the data map; The simulation module is used for performing simulation calculation of the ecological parameters based on the set simulation parameters and the initial state of the three-dimensional ecological scene by utilizing the scientific mechanism model, and updating the simulation calculation result to the data map so as to drive dynamic reconstruction of the three-dimensional ecological scene.
9. An electronic device comprising a memory, a processor, the memory having stored therein a computer program executable on the processor, wherein the processor, when executing the computer program, implements the ecological environment digital twinning method of any one of claims 1-7.
10. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program when executed by a processor performs the ecological environment digital twinning method according to any one of claims 1-7.

Description

Ecological environment digital twin method, system, electronic equipment and storage medium Technical Field The invention relates to the technical field of digital twinning, in particular to an ecological environment digital twinning method, an ecological environment digital twinning system, electronic equipment and a storage medium. Background With the progress of the internet of things, big data and three-dimensional visualization technology, digital twinning is increasingly applied to the fields of intelligent agriculture, intelligent ocean and the like. Conventional digital twinning systems typically implement monitoring and visual management of real environments by integrating sensor data in a three-dimensional scene. For example, in farm management, information such as humidity data of soil sensors, aerial images of unmanned aerial vehicles, etc. may be superimposed on a three-dimensional model of a farm to aid in the management and decision making process. However, the current solution still has the following drawbacks: 1. the modeling cost is high, the expansibility is poor, and for large-scale ecological environments such as farmlands, forests or ocean pastures, the traditional manual mode is adopted to perform three-dimensional modeling, so that the workload is huge, the cost is high, and the period is long. Furthermore, once the model is built, it is difficult to achieve fast and low cost updates in the face of dynamic changes in the real environment (such as crop growth or season changes). 2. The data and the scene are fractured, and visualization is not visual, wherein most of the existing digital twin systems only present the sensor data beside the three-dimensional model in the form of a UI (User Interface) panel or icon, so that the data is simply 'data attached', the data cannot be internalized into a part of the scene, and the fusion dimension of the data and the scene is shallow, so that the fracture feeling between the data and the scene is caused. The user cannot intuitively see the specific visual impact of macroscopic growth vigor of the whole crop, such as '10% reduction of soil humidity', limiting the effectiveness of data-driven decisions. 3. The lack of dynamic deduction and predictive capability existing digital twinning systems are adept at "monitoring the status quo", but perform poorly in predicting future trends. They cannot answer effectively predictive questions related to complex ecological evolution logic like "if one month in the future rainfall is reduced by 30%, how much will my crop yield be affected. Therefore, there is an urgent need in the market for a new digital twin technology that can automatically construct and update large-scale ecological scenes at low cost and can be dynamically deduced by fusing scientific models. Disclosure of Invention The invention aims to provide an ecological environment digital twin method, an ecological environment digital twin system, electronic equipment and a storage medium, so as to overcome the defects of high construction cost, static model, low fusion degree of data and scenes and lack of prediction capability of a large-scale ecological digital twin model in the prior art. In a first aspect, the present invention provides an ecological digital twinning method comprising: Acquiring and preprocessing multisource ecological environment data to obtain a standardized data map corresponding to the geospatial coordinates; generating PCG rules based on pre-established programming content, and generating a three-dimensional ecological scene corresponding to the data map, wherein the PCG rules define a mapping relation between three-dimensional visual manifestations of ecological elements and parameter values of corresponding coordinate positions in the data map; And (3) performing simulation calculation of the ecological parameters based on the set simulation parameters and the initial state of the three-dimensional ecological scene by using the scientific mechanism model, and updating the simulation calculation result to a data map so as to drive dynamic reconstruction of the three-dimensional ecological scene. In an alternative embodiment, the ecological environment data comprises one or more of macroscopic geographic information data, mesoscopic observation data, microscopic sensing data and manual recording data, the data map is a two-dimensional image, the spatial position of a pixel corresponds to real geographic coordinates, and the numerical value of the pixel represents at least one ecological parameter. In an alternative embodiment, the PCG rules include: a macro scene generation rule for automatically generating three-dimensional terrain according to the terrain data; An ecological element layout rule for automatically laying out a three-dimensional model of ecological elements in the corresponding region; And the ecological attribute association rule is used for associating at least one visual representation of the three-