Forest grass digital twinning system based on virtual reality interaction

Abstract

The invention provides a forest and grass digital twinborn system based on virtual reality interaction, and the system comprises a feature determination module which is used for collecting forest and grass resource data based on multi-class sensors disposed in an actual forest and grass scene, carrying out the analysis and processing of the forest and grass resource data, and determining the features of forest and grass and environment features; the digital twinborn model construction module is used for constructing a forest grass digital twinborn model based on forest grass characteristics and environment characteristics; and the interaction management module is used for receiving a virtual reality interaction demand of the user based on the interaction interface, carrying out interaction response on the virtual reality interaction demand in the forest grass digital twinborn model, and carrying out forest grass planning decision on an actual forest grass scene based on an interaction response result. According to the method, accurate and effective construction of the forest grass digital twinborn model is ensured, convenience and guarantee are provided for virtual reality interaction, the effect of virtual reality interaction of the forest grass digital twinborn system is improved, and convenience and guarantee are provided for forest grass management.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a forest and grassland digital twin system based on virtual reality interaction. Background Art

[0002] Currently, forest and grassland resources are of irreplaceable importance in terms of ecological environment, economic development and social sustainability. Forests can regulate climate, maintain soil and water, conserve water resources, purify air, and provide habitats for many species. Grasslands are important livestock bases and also play an irreplaceable role in preventing wind and sand, and maintaining soil and water. However, with the intensification of human activities, forest and grassland resources are facing many threats, such as deforestation, grassland degradation, fires, pests and diseases, etc. Therefore, the management of forests and grasslands is imminent.

[0003] However, traditional forest and grassland resource management faces numerous challenges. Data is collected from a wide range of sources, including field surveys, satellite remote sensing, and historical records from forestry and grassland departments. These data are often scattered across different departments and systems, with inconsistent formats, making data acquisition and integration difficult. This results in inaccurate and in-depth monitoring of forest and grassland growth. Existing forest and grassland resource management methods often rely on two-dimensional maps and tabular data, making it difficult to intuitively display the three-dimensional spatial structure and dynamic changes of forest and grassland resources, and lacking decision-making power.

[0004] Therefore, in order to overcome the above technical problems, the present invention provides a forest and grassland digital twin system based on virtual reality interaction. Summary of the Invention

[0005] The present invention provides a forest and grassland digital twin system based on virtual reality interaction, which is used to collect forest and grassland resource data and analyze the forest and grassland resource data to accurately and effectively analyze and determine the forest and grassland characteristics themselves and environmental characteristics, and then accurately and effectively construct forest and grassland digital twin models based on the forest and grassland characteristics themselves and environmental characteristics, providing convenience and guarantee for virtual reality interaction. Finally, the forest and grassland digital twin model responds to the user's virtual reality interaction needs, and makes forest and grassland planning decisions based on the response results, thereby improving the virtual reality interaction effect of the forest and grassland digital twin system and providing convenience and guarantee for forest and grassland management.

[0006] The present invention provides a forest and grassland digital twin system based on virtual reality interaction, comprising:

[0007] The feature determination module is used to collect forest and grassland resource data based on multiple categories of sensors deployed in actual forest and grassland scenes, and analyze and process the forest and grassland resource data to determine the characteristics of the forest and grassland themselves and the environmental characteristics;

[0008] A digital twin model construction module is used to build a digital twin model of forests and grasslands based on their own characteristics and environmental characteristics;

[0009] The interactive management module is used to receive the user's virtual reality interaction needs based on the interactive interface, and interactively respond to the virtual reality interaction needs in the forest and grassland digital twin model, and make forest and grassland planning decisions for the actual forest and grassland scenes based on the interactive response results.

[0010] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the feature determination module includes:

[0011] A position determination unit for:

[0012] Obtain a regional distribution map of the actual forest and grass scene, and determine the distribution characteristics of the forest and grass based on the regional distribution map;

[0013] Extract the business attributes and parameter configurations of various sensors, and determine the effective monitoring range of each sensor based on the parameter configuration;

[0014] Determine the deployment locations of various sensors based on business attributes, effective monitoring range, and distribution characteristics of forests and grasslands, and provide deployment guidance based on the deployment locations;

[0015] The data acquisition unit is used to build a parallel communication link between multiple categories of sensors and the main control center based on the deployment guidelines. At the same time, it collects forest and grass resource data in actual forest and grass scenes based on the deployed multiple categories of sensors, and transmits the collected forest and grass resource data back based on the parallel communication link.

[0016] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the data acquisition unit includes:

[0017] A background access subunit, configured to initialize devices of multiple categories of sensors based on the deployment results, and access background script files of the multiple categories of sensors based on the device initialization results;

[0018] Device configuration subunit, used to:

[0019] Based on the data collection requirements, the personalized requirements of each type of sensor are determined, and the parameter items in the background script file of the corresponding type of sensor are adapted based on the personalized requirements. The personalized requirements include sensor accuracy and sensor sampling frequency.

[0020] Save the parameter adaptation results and exit the background script file after successful saving.

[0021] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the feature determination module includes:

[0022] Data analysis and processing unit, used for:

[0023] Extracting a data source of forest and grassland resource data, and performing a first data classification on the forest and grassland resource data based on the data source;

[0024] Determine the business function of each category of forest and grassland resource data based on the data source, and integrate the forest and grassland resource data under different categories based on the business function;

[0025] Determine the standard data interval for each category of forest and grassland resource data based on business functions, and cleanse the forest and grassland resource data based on the integration results based on the standard data interval;

[0026] Based on the cleaning results, the forest and grassland resource data are classified into the second category to obtain the forest and grassland status monitoring data and the environmental status monitoring data;

[0027] Perform parameter traversal on the forest and grass state monitoring data to determine each biological characteristic parameter of the forest and grass, and determine each biological characteristic of the forest and grass based on the relative size relationship between each biological characteristic parameter and the standard parameter interval;

[0028] A feature determination unit, configured to:

[0029] Determine the vegetation index of forests and grasslands based on their biological characteristics, and obtain the characteristics of forests and grasslands based on the vegetation index;

[0030] At the same time, target environmental data related to forest and grass growth are extracted from environmental status monitoring data, and parameter values ​​of the target environmental data are determined;

[0031] Based on the parameter values, the effect parameters of the target environmental data on the growth of forests and grasses are determined, and the environmental characteristics are determined based on the effect parameters.

[0032] Preferably, a forest and grassland digital twin system based on virtual reality interaction and a digital twin model building module include:

[0033] Feature parsing unit, used to:

[0034] Obtain the application scenario of the digital twin model to be built, and determine the functional requirements of the digital twin model to be built based on the application scenario;

[0035] Analyze the characteristics of forests and grasslands themselves and the characteristics of the environment to determine the growth and health status of different forests and grasslands, and regionally correlate the growth and health status with the actual forest and grassland scenes to obtain the forest and grassland status;

[0036] Model building unit for:

[0037] Extract the physical parameters of the actual forest and grassland scene, and build a digital twin geometric model of the forest and grassland based on the physical parameters;

[0038] Define the attributes of each component of the forest and grassland digital twin geometric model based on the forest and grassland status and functional requirements, and determine the machine learning algorithm for the digital twin model to be constructed based on the interaction requirements;

[0039] A forest and grassland digital twin driving model is constructed based on the machine learning algorithm, and the digital twin geometric model and the digital twin driving model are logically integrated to obtain the forest and grassland digital twin model.

[0040] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the model building unit includes:

[0041] Dynamic update subunit, used to monitor the status changes of actual forest and grassland scenes in real time, and synchronously update the forest and grassland digital twin model based on the status change results;

[0042] Model testing subunit, used to:

[0043] Generate simulation test requirements based on computers, input the simulation test requirements as simulation interaction variables into the forest and grassland digital twin model for processing, and monitor the simulation response status of the forest and grassland digital twin model in real time;

[0044] Compare the simulated response status with the preset requirements, and when the simulated response status meets the preset requirements, determine that the forest and grassland digital twin model is qualified;

[0045] The model deployment unit is used to deploy and authorize the obtained forest and grassland digital twin model on the preset application platform based on the judgment results.

[0046] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the interactive management module includes:

[0047] a demand receiving unit, configured to read a reference data format of the interaction interface, and when a user inputs a virtual reality interaction demand, convert the virtual reality interaction demand into a format based on the reference data format, thereby obtaining a reference virtual reality interaction demand;

[0048] a verification unit, configured to read user information and a baseline virtual reality interaction requirement, and perform verification based on the user information and the baseline virtual reality interaction requirement;

[0049] The interactive response unit is used to match and map the benchmark virtual reality interaction requirements in the forest and grassland digital twin model when the verification is passed, and output the interactive response results according to the matching mapping results;

[0050] The decision-making unit is used to make forest and grassland planning decisions for actual forest and grassland scenarios based on the interactive response results.

[0051] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the verification unit includes:

[0052] The user information reading subunit is used to read the user information to determine the user identification and at the same time, call the preset authority user management library;

[0053] The interaction authority range determination subunit is used to input the user identification into the preset authority user management library for matching and identification, and obtain the interaction authority range corresponding to the current user;

[0054] A requirement item determination subunit is used to read the baseline virtual reality interaction requirements and determine the interaction requirement items corresponding to the baseline virtual reality interaction requirements;

[0055] The matching judgment subunit is used to:

[0056] Match the interaction requirement item with the current user's permission interaction scope to determine whether the requirement item falls within the current user's permission interaction scope;

[0057] If the required item falls within the scope of the current user's permission interaction, the verification is considered passed;

[0058] When there is an intersection between the requirements and the current user's permission interaction range, the intersection of the requirements is obtained, and the current baseline virtual reality interaction requirements are updated according to the intersection. When the update is completed, the verification is determined to be passed;

[0059] Otherwise, the verification is determined to be unsuccessful.

[0060] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the interactive response unit includes:

[0061] The requirement reading subunit is used to read the baseline virtual reality interaction requirement when the verification is passed, and determine the interaction target of the baseline virtual reality interaction requirement and the interaction parameters corresponding to the interaction target;

[0062] Matching mapping subunits, used to:

[0063] Read the forest and grassland digital twin model, perform a first matching mapping of the interactive target in the forest and grassland digital twin model, determine the target position of the interactive target in the forest and grassland digital twin model, and extract the model element of the target position in the forest and grassland digital twin model;

[0064] Performing a second matching mapping on the interaction parameters in the model element, and determining a first model pose of the model element according to the second matching mapping result;

[0065] An updating subunit, configured to update the first model posture of the model element in the forest-grassland digital twin model, and extract a second model posture of the forest-grassland digital twin model based on the updating result;

[0066] The interactive response result output subunit is used to:

[0067] Obtaining the initial model pose of the forest and grassland digital twin model, and comparing the initial model pose with the second model pose to determine the difference model pose;

[0068] The difference model posture is output as the interaction response result.

[0069] Preferably, a forest and grassland digital twin system based on virtual reality interaction, the decision-making unit includes:

[0070] The interaction response result reading subunit is used to read the ideal interaction result corresponding to the baseline virtual reality interaction requirement and, at the same time, read the interaction response result;

[0071] The decision-making subunit is used to:

[0072] Matching ideal interaction outcomes with interaction response outcomes;

[0073] When the ideal interaction result matches the interaction response result, a forest and grassland planning decision is generated based on the baseline virtual reality interaction requirement; when the ideal interaction result does not match the interaction response result, the difference between the ideal interaction result and the interaction response result is obtained, and the difference is simulated in the forest and grassland digital twin model, and the simulation parameters are output according to the simulation results; the baseline virtual reality interaction requirement is corrected according to the simulation parameters, and a forest and grassland planning decision is generated according to the correction result.

[0074] Compared with the prior art, the present invention has the following beneficial effects:

[0075] By collecting forest and grassland resource data and analyzing it, we can accurately and effectively analyze and determine the characteristics of forests and grasslands themselves and their environmental characteristics, and then accurately and effectively construct forest and grassland digital twin models based on their own characteristics and their environmental characteristics, providing convenience and guarantee for virtual reality interaction. Finally, the forest and grassland digital twin model responds to the user's virtual reality interaction needs, and makes forest and grassland planning decisions based on the response results, which improves the virtual reality interaction effect of the forest and grassland digital twin system and provides convenience and guarantee for forest and grassland management.

[0076] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0077] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0079] Figure 1 This is a structural diagram of a forest and grassland digital twin system based on virtual reality interaction in an embodiment of the present invention;

[0080] Figure 2 This is a structural diagram of a feature determination module in a forest and grassland digital twin system based on virtual reality interaction in an embodiment of the present invention;

[0081] Figure 3 This is a structural diagram of a digital twin model construction module in a forest and grassland digital twin system based on virtual reality interaction in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0083] Example 1:

[0084] This embodiment provides a forest and grassland digital twin system based on virtual reality interaction, such as Figure 1 Shown, including:

[0085] The feature determination module is used to collect forest and grassland resource data based on multiple categories of sensors deployed in actual forest and grassland scenes, and analyze and process the forest and grassland resource data to determine the characteristics of the forest and grassland themselves and the environmental characteristics;

[0086] A digital twin model construction module is used to build a digital twin model of forests and grasslands based on their own characteristics and environmental characteristics;

[0087] The interactive management module is used to receive the user's virtual reality interaction needs based on the interactive interface, and interactively respond to the virtual reality interaction needs in the forest and grassland digital twin model, and make forest and grassland planning decisions for the actual forest and grassland scenes based on the interactive response results.

[0088] In this embodiment, the actual forest and grass scene refers to a real scene containing trees and grass.

[0089] In this embodiment, the multiple categories of sensors include a humidity sensor, a temperature sensor, and a nutrient component detection sensor.

[0090] In this embodiment, the forest and grass resource data refers to the distribution status of the forest and grass, the density of the forest and grass, and the current nutritional status data of the forest and grass.

[0091] In this embodiment, the characteristics of the forest and grass themselves refer to the current growth status of the forest and grass, including the location distribution of the forest and grass and the current health status.

[0092] In this embodiment, environmental characteristics refer to the specific conditions of the current environment of the forest and grass, including specific values ​​of temperature and humidity.

[0093] In this embodiment, the virtual reality interaction demand refers to the user's need to interact through the forest and grassland digital twin model, such as the need to check the status of the forest and grassland or conduct forest and grassland disaster prevention drills.

[0094] In this embodiment, forest and grassland planning decision refers to making forest and grassland management decisions based on the interactive response results, such as guidance and suggestions for expanding forest and grassland planting.

[0095] The beneficial effects of the above technical solution are: by collecting forest and grassland resource data and analyzing the forest and grassland resource data, accurate and effective analysis and determination of the forest and grassland characteristics themselves and environmental characteristics can be achieved, and then the forest and grassland digital twin model can be accurately and effectively constructed based on the forest and grassland characteristics themselves and environmental characteristics, providing convenience and guarantee for virtual reality interaction. Finally, the forest and grassland digital twin model responds to the user's virtual reality interaction needs, and makes forest and grassland planning decisions based on the response results, thereby improving the virtual reality interaction effect of the forest and grassland digital twin system and providing convenience and guarantee for forest and grassland management.

[0096] Example 2:

[0097] Based on Example 1, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, such as Figure 2 As shown, the feature determination module includes:

[0098] A position determination unit for:

[0099] Obtain a regional distribution map of the actual forest and grass scene, and determine the distribution characteristics of the forest and grass based on the regional distribution map;

[0100] Extract the business attributes and parameter configurations of various sensors, and determine the effective monitoring range of each sensor based on the parameter configuration;

[0101] Determine the deployment locations of various sensors based on business attributes, effective monitoring range, and distribution characteristics of forests and grasslands, and provide deployment guidance based on the deployment locations;

[0102] The data acquisition unit is used to build a parallel communication link between multiple categories of sensors and the main control center based on the deployment guidelines. At the same time, it collects forest and grass resource data in actual forest and grass scenes based on the deployed multiple categories of sensors, and transmits the collected forest and grass resource data back based on the parallel communication link.

[0103] In this embodiment, the distribution characteristics refer to the distribution range of forests and grasses and the types of forests and grasses distributed in different areas.

[0104] In this embodiment, the service attributes refer to the service types of various sensors, that is, the types of data that can be collected.

[0105] In this embodiment, parameter configuration refers to the data acquisition power and data acquisition range of various sensors.

[0106] The beneficial effects of the above technical solution are: by determining the distribution characteristics of forests and grasslands, deployment guidance for various sensors can be implemented based on the distribution characteristics and business attributes and parameter configurations of various sensors, providing a guarantee for comprehensive and effective forest and grassland data collection. At the same time, parallel communication links are constructed between multiple categories of sensors and the main control center, and forest and grassland resource data are transmitted back through the constructed parallel communication links, thereby providing data support for the construction of a digital twin model of forests and grasslands.

[0107] Example 3:

[0108] Based on Example 1, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the data acquisition unit includes:

[0109] A background access subunit, configured to initialize devices of multiple categories of sensors based on the deployment results, and access background script files of the multiple categories of sensors based on the device initialization results;

[0110] Device configuration subunit, used to:

[0111] Based on the data collection requirements, the personalized requirements of each type of sensor are determined, and the parameter items in the background script file of the corresponding type of sensor are adapted based on the personalized requirements. The personalized requirements include sensor accuracy and sensor sampling frequency.

[0112] Save the parameter adaptation results and exit the background script file after successful saving.

[0113] In this embodiment, the background script file refers to a background program for multiple types of sensors.

[0114] In this embodiment, the personalized requirements refer to the working accuracy and working power of different types of sensors. The working parameter requirements of different types of sensors may be different.

[0115] In this embodiment, the parameter item refers to the specific parameter content that needs to be adjusted.

[0116] The beneficial effect of the above technical solution is: by determining the personalized requirements of each category of sensors, and accessing the background script files of the corresponding category of sensors according to the personalized requirements, and then adapting the parameter items in the script files according to the personalized requirements, the working reliability of each category of sensors is ensured, and the reliability of forest and grass resource data collection is improved.

[0117] Example 4:

[0118] Based on Example 1, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the feature determination module includes:

[0119] Data analysis and processing unit, used for:

[0120] Extracting a data source of forest and grassland resource data, and performing a first data classification on the forest and grassland resource data based on the data source;

[0121] Determine the business function of each category of forest and grassland resource data based on the data source, and integrate the forest and grassland resource data under different categories based on the business function;

[0122] Determine the standard data interval for each category of forest and grassland resource data based on business functions, and cleanse the forest and grassland resource data based on the integration results based on the standard data interval;

[0123] Based on the cleaning results, the forest and grassland resource data are classified into the second category to obtain the forest and grassland status monitoring data and the environmental status monitoring data;

[0124] Perform parameter traversal on the forest and grass state monitoring data to determine each biological characteristic parameter of the forest and grass, and determine each biological characteristic of the forest and grass based on the relative size relationship between each biological characteristic parameter and the standard parameter interval;

[0125] A feature determination unit, configured to:

[0126] Determine the vegetation index of forests and grasslands based on their biological characteristics, and obtain the characteristics of forests and grasslands based on the vegetation index;

[0127] At the same time, target environmental data related to forest and grass growth are extracted from environmental status monitoring data, and parameter values ​​of the target environmental data are determined;

[0128] Based on the parameter values, the effect parameters of the target environmental data on the growth of forests and grasses are determined, and the environmental characteristics are determined based on the effect parameters.

[0129] In this embodiment, the data source refers to the device terminal that generates forest and grassland resource data.

[0130] In this embodiment, the first data classification refers to classifying the forest and grassland resource data according to the data source to obtain a data set corresponding to each sensor device.

[0131] In this embodiment, the business function refers to the forest and grass content represented by each category of forest and grass resource data, such as the growth rate of the forest and grass, the species composition of the forest and grass, and the branch composition of the forest and grass.

[0132] In this embodiment, the standard data interval is set in advance and is used to represent the value range of each category of forest and grassland resource data under normal circumstances.

[0133] In this embodiment, the second classification refers to dividing the forest and grassland resource data into self-status monitoring data and environmental status monitoring data.

[0134] In this embodiment, the biological characteristic parameters refer to the contents of different components in forest grass.

[0135] In this embodiment, the standard parameter interval refers to the value range corresponding to the healthy growth of forests and grasses.

[0136] In this embodiment, the biological characteristics refer to the health status of the forest and grass, for example, it may be slow growth, being in an unhealthy state, etc.

[0137] In this embodiment, the vegetation index is used to characterize the coverage of vegetation on the ground surface. By analyzing the changes in the vegetation index in different periods, the dynamic changes in vegetation coverage can be understood.

[0138] In this embodiment, the characteristics of the forest and grass themselves refer to the distribution of the forest and grass themselves and the corresponding growth conditions.

[0139] In this embodiment, the target environmental data refers to environmental parameters related to forest and grass growth, including air humidity and ambient temperature.

[0140] In this embodiment, the action parameter refers to the impact of the target environmental data on the growth of forests and grasses.

[0141] The beneficial effect of the above technical solution is: by analyzing forest and grassland resource data, the forest and grassland characteristics themselves and environmental characteristics can be determined separately, thereby providing convenience and support for the construction of forest and grassland digital twin models, and ensuring the reliability of the final constructed forest and grassland digital twin model.

[0142] Example 5:

[0143] Based on Example 1, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, such as Figure 3 As shown in the figure, the digital twin model building blocks include:

[0144] Feature parsing unit, used to:

[0145] Obtain the application scenario of the digital twin model to be built, and determine the functional requirements of the digital twin model to be built based on the application scenario;

[0146] Analyze the characteristics of forests and grasslands themselves and the characteristics of the environment to determine the growth and health status of different forests and grasslands, and regionally correlate the growth and health status with the actual forest and grassland scenes to obtain the forest and grassland status;

[0147] Model building unit for:

[0148] Extract the physical parameters of the actual forest and grassland scene, and build a digital twin geometric model of the forest and grassland based on the physical parameters;

[0149] Define the attributes of each component of the forest and grassland digital twin geometric model based on the forest and grassland status and functional requirements, and determine the machine learning algorithm for the digital twin model to be constructed based on the interaction requirements;

[0150] A forest and grassland digital twin driving model is constructed based on the machine learning algorithm, and the digital twin geometric model and the digital twin driving model are logically integrated to obtain the forest and grassland digital twin model.

[0151] In this embodiment, functional requirements refer to the business functions that need to be performed by the digital twin model to be built, such as mapping the actual forest and grassland conditions and performing forest and grassland management interactions.

[0152] In this embodiment, the physical parameters refer to the actual number of trees and grasses and their corresponding sizes and other information.

[0153] In this embodiment, the forest and grassland digital twin geometric model refers to a model framework constructed based on physical parameters.

[0154] In this embodiment, attribute definition refers to defining the corresponding functions of each component, that is, the business purpose that needs to be achieved during operation.

[0155] In this embodiment, the forest and grassland digital twin driving model refers to the engine of the final forest and grassland digital twin model, that is, it can drive the forest and grassland digital twin model to run.

[0156] The beneficial effects of the above technical solution are: by determining the functional requirements of the digital twin model to be constructed, and combining the forest and grassland self-characteristics and environmental characteristics to determine the forest and grassland status, secondly, through the physical parameters of the actual forest and grassland scene to realize the construction of the digital twin geometric model, at the same time, according to the interaction requirements, the machine learning algorithm of the digital twin model to be constructed is determined, and then the forest and grassland digital twin driving model is constructed according to the machine learning algorithm. Finally, the obtained digital twin geometric model and the forest and grassland digital twin driving model are integrated to realize the accurate and reliable construction of the forest and grassland digital twin model.

[0157] Example 6:

[0158] Based on Example 5, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the model construction unit includes:

[0159] Dynamic update subunit, used to monitor the status changes of actual forest and grassland scenes in real time, and synchronously update the forest and grassland digital twin model based on the status change results;

[0160] Model testing subunit, used to:

[0161] Generate simulation test requirements based on computers, input the simulation test requirements as simulation interaction variables into the forest and grassland digital twin model for processing, and monitor the simulation response status of the forest and grassland digital twin model in real time;

[0162] Compare the simulated response status with the preset requirements, and when the simulated response status meets the preset requirements, determine that the forest and grassland digital twin model is qualified;

[0163] The model deployment unit is used to deploy and authorize the obtained forest and grassland digital twin model on the preset application platform based on the judgment results.

[0164] In this embodiment, the simulation test requirements are generated by computers to test the reliability of managing actual forests and grasslands through the forest and grassland digital twin model.

[0165] In this embodiment, the simulation response status refers to the response of the forest and grassland digital twin model to the simulation test requirements.

[0166] In this embodiment, the preset requirements are set in advance and serve as a reference for measuring whether the simulated response state meets the requirements.

[0167] In this embodiment, the preset application platform is a platform or system that is known in advance and is used to manage actual forests and grasslands.

[0168] The beneficial effect of the above technical solution is: by conducting simulation tests on the obtained forest and grassland digital twin model, a rigorous and effective judgment can be made on the qualification of the forest and grassland digital twin model, so that the forest and grassland digital twin model can be deployed and authorized after it is qualified, thereby providing convenience for forest and grassland management.

[0169] Example 7:

[0170] Based on Example 1, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and an interaction management module, including:

[0171] a demand receiving unit, configured to read a reference data format of the interaction interface, and when a user inputs a virtual reality interaction demand, convert the virtual reality interaction demand into a format based on the reference data format, thereby obtaining a reference virtual reality interaction demand;

[0172] a verification unit, configured to read user information and a baseline virtual reality interaction requirement, and perform verification based on the user information and the baseline virtual reality interaction requirement;

[0173] The interactive response unit is used to match and map the benchmark virtual reality interaction requirements in the forest and grassland digital twin model when the verification is passed, and output the interactive response results according to the matching mapping results;

[0174] The decision-making unit is used to make forest and grassland planning decisions for actual forest and grassland scenarios based on the interactive response results.

[0175] In this embodiment, the reference data format refers to the format requirement of the interactive interface for communication data.

[0176] In this embodiment, the baseline virtual display interaction requirement refers to a result obtained by converting the virtual reality interaction requirement into a base data format.

[0177] In this embodiment, verification based on user information and the benchmark virtual reality interaction requirements refers to whether the current user has the authority to interact with virtual reality and whether the submitted benchmark virtual reality interaction requirements are compliant.

[0178] The beneficial effects of the above technical solution are: receiving virtual reality interaction requirements through the interactive interface, performing format conversion, and then reading user information, and verifying the user information with the converted benchmark virtual reality interaction requirements, so that after the verification is passed, the forest and grassland digital twin model can respond to the benchmark virtual reality interaction requirements, and then realize the determination of forest and grassland planning decisions, which provides convenience for forest and grassland management.

[0179] Example 8:

[0180] Based on Example 7, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the verification unit includes:

[0181] The user information reading subunit is used to read the user information to determine the user identification and at the same time, call the preset authority user management library;

[0182] The interaction authority range determination subunit is used to input the user identification into the preset authority user management library for matching and identification, and obtain the interaction authority range corresponding to the current user;

[0183] A requirement item determination subunit is used to read the baseline virtual reality interaction requirements and determine the interaction requirement items corresponding to the baseline virtual reality interaction requirements;

[0184] The matching judgment subunit is used to:

[0185] Match the interaction requirement item with the current user's permission interaction scope to determine whether the requirement item falls within the current user's permission interaction scope;

[0186] If the required item falls within the scope of the current user's permission interaction, the verification is considered passed;

[0187] When there is an intersection between the requirements and the current user's permission interaction range, the intersection of the requirements is obtained, and the current baseline virtual reality interaction requirements are updated according to the intersection. When the update is completed, the verification is determined to be passed;

[0188] Otherwise, the verification is determined to be unsuccessful.

[0189] In this embodiment, the user identification is a marking symbol used to distinguish different user identities.

[0190] In this embodiment, the preset authority user management library is constructed in advance and is used to store the management authority of different users.

[0191] In this embodiment, the scope of interaction authority refers to the interaction authority possessed by the current user, that is, the projects that can be managed through the forest and grassland digital twin model.

[0192] In this embodiment, the interaction requirement item refers to a specific type of interaction that needs to be performed, such as checking the growth of trees and grasses.

[0193] The beneficial effect of the above technical solution is: by retrieving the user's interaction permission range from the preset permission user management library based on user information, the user's interaction request can be effectively verified based on the interaction permission range and the benchmark virtual reality interaction requirements, thereby improving the security and reliability of the management of actual forests and grasslands through the forest and grassland digital twin model.

[0194] Example 9:

[0195] Based on Example 7, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the interactive response unit includes:

[0196] The requirement reading subunit is used to read the baseline virtual reality interaction requirement when the verification is passed, and determine the interaction target of the baseline virtual reality interaction requirement and the interaction parameters corresponding to the interaction target;

[0197] Matching mapping subunits, used to:

[0198] Read the forest and grassland digital twin model, perform a first matching mapping of the interactive target in the forest and grassland digital twin model, determine the target position of the interactive target in the forest and grassland digital twin model, and extract the model element of the target position in the forest and grassland digital twin model;

[0199] Performing a second matching mapping on the interaction parameters in the model element, and determining a first model pose of the model element according to the second matching mapping result;

[0200] An updating subunit, configured to update the first model posture of the model element in the forest-grassland digital twin model, and extract a second model posture of the forest-grassland digital twin model based on the updating result;

[0201] The interactive response result output subunit is used to:

[0202] Obtaining the initial model pose of the forest and grassland digital twin model, and comparing the initial model pose with the second model pose to determine the difference model pose;

[0203] The difference model posture is output as the interaction response result.

[0204] In this embodiment, the interaction target refers to the interaction object targeted in the baseline virtual reality interaction requirements, for example, it may be the number of a certain type of forest grass.

[0205] In this embodiment, the model element refers to the specific model structure corresponding to the interactive target in the forest and grassland digital twin model.

[0206] In this embodiment, the first model posture refers to the actual state of the forest and grass currently represented by the model element obtained after matching the interaction parameters in the model element.

[0207] In this embodiment, the second model posture refers to the actual conditions of each forest and grass recorded by the forest and grass digital twin model after updating.

[0208] In this embodiment, the difference model posture refers to the difference between the initial parameters of the forest and grassland digital twin model and the currently updated parameters.

[0209] The beneficial effect of the above technical solution is: after verification, the model elements of the response are located in the forest and grassland digital twin model according to the interaction goals, and the model elements are analyzed, and finally the interactive response results are determined and output, so as to achieve the rigor and reliability of forest and grassland management decisions through the forest and grassland digital twin model.

[0210] Example 10:

[0211] Based on Example 7, this embodiment provides a forest and grassland digital twin system based on virtual reality interaction, and the decision unit includes:

[0212] The interaction response result reading subunit is used to read the ideal interaction result corresponding to the baseline virtual reality interaction requirement and, at the same time, read the interaction response result;

[0213] The decision-making subunit is used to:

[0214] Matching ideal interaction outcomes with interaction response outcomes;

[0215] When the ideal interaction result matches the interaction response result, a forest and grassland planning decision is generated based on the baseline virtual reality interaction requirement; when the ideal interaction result does not match the interaction response result, the difference between the ideal interaction result and the interaction response result is obtained, and the difference is simulated in the forest and grassland digital twin model, and the simulation parameters are output according to the simulation results; the baseline virtual reality interaction requirement is corrected according to the simulation parameters, and a forest and grassland planning decision is generated according to the correction result.

[0216] In this embodiment, the ideal interaction result refers to the interaction purpose that is theoretically achieved after the baseline virtual reality interaction requirements are analyzed in the forest and grassland digital twin model.

[0217] In this embodiment, the difference refers to the difference between the ideal interaction result and the interaction response result when the ideal interaction result does not match the interaction response result.

[0218] The beneficial effect of the above technical solution is to ensure the accuracy and reliability of the final forest and grassland planning decision.

[0219] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A forest and grassland digital twin system based on virtual reality interaction, characterized by: include: The feature determination module is used to collect forest and grassland resource data based on multiple categories of sensors deployed in actual forest and grassland scenes, and analyze and process the forest and grassland resource data to determine the characteristics of the forest and grassland themselves and the environmental characteristics; A digital twin model construction module is used to build a digital twin model of forests and grasslands based on their own characteristics and environmental characteristics; The interactive management module is used to receive the user's virtual reality interaction needs based on the interactive interface, and interactively respond to the virtual reality interaction needs in the forest and grassland digital twin model, and make forest and grassland planning decisions for the actual forest and grassland scenes based on the interactive response results.

2. A forest and grassland digital twin system based on virtual reality interaction according to claim 1, characterized in that: Feature determination module, including: A position determination unit for: Obtain a regional distribution map of the actual forest and grass scene, and determine the distribution characteristics of the forest and grass based on the regional distribution map; Extract the business attributes and parameter configurations of various sensors, and determine the effective monitoring range of each sensor based on the parameter configuration; Determine the deployment locations of various sensors based on business attributes, effective monitoring range, and distribution characteristics of forests and grasslands, and provide deployment guidance based on the deployment locations; The data acquisition unit is used to build a parallel communication link between multiple categories of sensors and the main control center based on the deployment guidelines. At the same time, it collects forest and grass resource data in actual forest and grass scenes based on the deployed multiple categories of sensors, and transmits the collected forest and grass resource data back based on the parallel communication link.

3. The forest and grassland digital twin system based on virtual reality interaction according to claim 2 is characterized in that: Data acquisition unit, including: A background access subunit, configured to initialize devices of multiple categories of sensors based on the deployment results, and access background script files of the multiple categories of sensors based on the device initialization results; Device configuration subunit, used to: Based on the data collection requirements, the personalized requirements of each type of sensor are determined, and the parameter items in the background script file of the corresponding type of sensor are adapted based on the personalized requirements. The personalized requirements include sensor accuracy and sensor sampling frequency. Save the parameter adaptation results and exit the background script file after successful saving.

4. The forest and grassland digital twin system based on virtual reality interaction according to claim 1 is characterized in that: Feature determination module, including: Data analysis and processing unit, used for: Extracting a data source of forest and grassland resource data, and performing a first data classification on the forest and grassland resource data based on the data source; Determine the business function of each category of forest and grassland resource data based on the data source, and integrate the forest and grassland resource data under different categories based on the business function; Determine the standard data interval for each category of forest and grassland resource data based on business functions, and cleanse the forest and grassland resource data based on the integration results based on the standard data interval; Based on the cleaning results, the forest and grassland resource data are classified into the second category to obtain the forest and grassland status monitoring data and the environmental status monitoring data; Perform parameter traversal on the forest and grass state monitoring data to determine each biological characteristic parameter of the forest and grass, and determine each biological characteristic of the forest and grass based on the relative size relationship between each biological characteristic parameter and the standard parameter interval; A feature determination unit, configured to: Determine the vegetation index of forests and grasslands based on their biological characteristics, and obtain the characteristics of forests and grasslands based on the vegetation index; At the same time, target environmental data related to forest and grass growth are extracted from environmental status monitoring data, and parameter values ​​of the target environmental data are determined; Based on the parameter values, the effect parameters of the target environmental data on the growth of forests and grasses are determined, and the environmental characteristics are determined based on the effect parameters.

5. The forest and grassland digital twin system based on virtual reality interaction according to claim 1 is characterized in that: Digital twin model building blocks, including: Feature parsing unit, used to: Obtain the application scenario of the digital twin model to be built, and determine the functional requirements of the digital twin model to be built based on the application scenario; Analyze the characteristics of forests and grasslands themselves and the characteristics of the environment to determine the growth and health status of different forests and grasslands, and regionally correlate the growth and health status with the actual forest and grassland scenes to obtain the forest and grassland status; Model building unit for: Extract the physical parameters of the actual forest and grassland scene, and build a digital twin geometric model of the forest and grassland based on the physical parameters; Define the attributes of each component of the forest and grassland digital twin geometric model based on the forest and grassland status and functional requirements, and determine the machine learning algorithm for the digital twin model to be constructed based on the interaction requirements; A forest and grassland digital twin driving model is constructed based on the machine learning algorithm, and the digital twin geometric model and the digital twin driving model are logically integrated to obtain the forest and grassland digital twin model.

6. The forest and grassland digital twin system based on virtual reality interaction according to claim 5 is characterized in that: Model building unit, including: Dynamic update subunit, used to monitor the status changes of actual forest and grassland scenes in real time, and synchronously update the forest and grassland digital twin model based on the status change results; Model testing subunit, used to: Generate simulation test requirements based on computers, input the simulation test requirements as simulation interaction variables into the forest and grassland digital twin model for processing, and monitor the simulation response status of the forest and grassland digital twin model in real time; Compare the simulated response status with the preset requirements, and when the simulated response status meets the preset requirements, determine that the forest and grassland digital twin model is qualified; The model deployment unit is used to deploy and authorize the obtained forest and grassland digital twin model on the preset application platform based on the judgment results.

7. The forest and grassland digital twin system based on virtual reality interaction according to claim 1 is characterized in that: Interaction management module, including: a demand receiving unit, configured to read a reference data format of the interaction interface, and when a user inputs a virtual reality interaction demand, convert the virtual reality interaction demand into a format based on the reference data format, thereby obtaining a reference virtual reality interaction demand; a verification unit, configured to read user information and a baseline virtual reality interaction requirement, and perform verification based on the user information and the baseline virtual reality interaction requirement; The interactive response unit is used to match and map the benchmark virtual reality interaction requirements in the forest and grassland digital twin model when the verification is passed, and output the interactive response results according to the matching mapping results; The decision-making unit is used to make forest and grassland planning decisions for actual forest and grassland scenarios based on the interactive response results.

8. The forest and grassland digital twin system based on virtual reality interaction according to claim 7 is characterized in that: Verification unit, including: The user information reading subunit is used to read the user information to determine the user identification and at the same time, call the preset authority user management library; The interaction authority range determination subunit is used to input the user identification into the preset authority user management library for matching and identification, and obtain the interaction authority range corresponding to the current user; A requirement item determination subunit is used to read the baseline virtual reality interaction requirements and determine the interaction requirement items corresponding to the baseline virtual reality interaction requirements; The matching judgment subunit is used to: Match the interaction requirement item with the current user's permission interaction scope to determine whether the requirement item falls within the current user's permission interaction scope; If the required item falls within the scope of the current user's permission interaction, the verification is considered passed; When there is an intersection between the requirements and the current user's permission interaction range, the intersection of the requirements is obtained, and the current baseline virtual reality interaction requirements are updated according to the intersection. When the update is completed, the verification is determined to be passed; Otherwise, the verification is determined to be unsuccessful.

9. The forest and grassland digital twin system based on virtual reality interaction according to claim 7 is characterized in that: Interactive response unit, including: The requirement reading subunit is used to read the baseline virtual reality interaction requirement when the verification is passed, and determine the interaction target of the baseline virtual reality interaction requirement and the interaction parameters corresponding to the interaction target; Matching mapping subunits, used to: Read the forest and grassland digital twin model, perform a first matching mapping of the interactive target in the forest and grassland digital twin model, determine the target position of the interactive target in the forest and grassland digital twin model, and extract the model element of the target position in the forest and grassland digital twin model; Performing a second matching mapping on the interaction parameters in the model element, and determining a first model pose of the model element according to the second matching mapping result; An updating subunit, configured to update the first model posture of the model element in the forest-grassland digital twin model, and extract a second model posture of the forest-grassland digital twin model based on the updating result; The interactive response result output subunit is used to: Obtaining the initial model pose of the forest and grassland digital twin model, and comparing the initial model pose with the second model pose to determine the difference model pose; The difference model posture is output as the interaction response result.

10. The forest and grassland digital twin system based on virtual reality interaction according to claim 7 is characterized in that: Decision-making unit, including: The interaction response result reading subunit is used to read the ideal interaction result corresponding to the baseline virtual reality interaction requirement and, at the same time, read the interaction response result; The decision-making subunit is used to: Matching ideal interaction outcomes with interaction response outcomes; When the ideal interaction result matches the interaction response result, a forest and grassland planning decision is generated based on the baseline virtual reality interaction requirement; when the ideal interaction result does not match the interaction response result, the difference between the ideal interaction result and the interaction response result is obtained, and the difference is simulated in the forest and grassland digital twin model, and the simulation parameters are output according to the simulation results; the baseline virtual reality interaction requirement is corrected according to the simulation parameters, and a forest and grassland planning decision is generated according to the correction result.

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