Mobile query method and system for planning natural resources

Abstract

The invention relates to the technical field of query methods, in particular to a mobile query method and system for planning natural resources, and the method comprises the following steps: loading a three-dimensional virtual earth model, and obtaining three-dimensional space position data of the natural resources; and based on progressive processing of high-dimensional position transformation, wavelet dimensionality reduction, non-linear heterogeneous mapping, multi-resolution optimization and dynamic feedback control, multi-level visual display of the natural resources under different resolutions is obtained so as to realize spatial position accurate mapping and dynamic real-time display of the natural resources, and through a high-dimensional position transformation algorithm, the spatial position of the natural resources can be accurately mapped and dynamically displayed in real time. Three-dimensional coordinate data of natural resources are mapped to a high-dimensional spherical coordinate space, and high-dimensional data are compressed to core low-dimensional features through a multi-scale wavelet dimension reduction algorithm, so that data simplification is realized on the basis of retaining key information; the heterogeneous mapping algorithm realizes smooth conversion from low-dimensional features to two-dimensional display, and a Laplace-Beltrami operator is utilized to ensure the smoothness of the display.

Description

Technical Field

[0001] This invention relates to the field of query methods, and more specifically, to a mobile query method and system for planning natural resources. Background Technology

[0002] With the rapid accumulation of natural resource data and the rapid development of Geographic Information System (GIS) technology, spatial querying, real-time display, and dynamic analysis of natural resources have become important research directions in the field of geographic information. Especially in scenarios such as land resource management, environmental monitoring, and urban planning, efficient display and rapid querying of natural resources have become key tools for decision analysis. Traditionally, natural resource display in GIS systems typically relies on three-dimensional virtual earth models, directly mapping natural resource data into three-dimensional space for display. In this way, users can perceive the distribution of resources from a global perspective. However, in mobile devices or real-time query scenarios requiring rapid response, the traditional three-dimensional virtual earth model display method faces significant technical bottlenecks.

[0003] First, existing 3D virtual globe models typically rely on a fixed-scale linear mapping from 3D to 2D when displaying natural resources. However, traditional linear mapping often leads to spatial distortion in the display results when dealing with complex natural resource data. Especially after multiple scaling, rotation, or translation operations, the error in displaying resource locations becomes significant, severely impacting the accuracy of query results. Furthermore, current display methods struggle to maintain information consistency across different scaling ratios and resolutions. Linear mapping technology lacks the ability to dynamically adjust between displaying details and the overall view, resulting in difficulty displaying global information when zooming out and loss of detail when zooming in, failing to achieve a balanced display of details and the global picture.

[0004] Secondly, existing 3D display methods lack the ability to respond quickly to user actions, especially on mobile devices where user queries require a rapid system response. However, traditional methods often suffer from long response times when faced with frequent user actions such as zooming, panning, and rotating. This latency makes it difficult for users to have a smooth interactive experience on mobile devices, severely impacting the real-time performance of operations.

[0005] Furthermore, existing technologies have significant limitations in terms of display stability. Resource displays are prone to issues such as display jitter, image flickering, or coordinate shifts under continuous user interaction, especially after multiple zooming and rotation operations. This display instability not only affects the user experience but also leads to inconsistent resource search results, potentially causing users to misinterpret the search information.

[0006] In summary, existing methods for displaying natural resources face several technical challenges, specifically: First, they lack precise spatial location display, failing to effectively address the positional distortion problem during 3D-to-2D conversion; second, they lack resolution adaptability, making it difficult for the system to balance detail and global information at different scaling ratios; third, their response time is long, failing to meet real-time query requirements; and fourth, their display stability is poor, with the system prone to jitter and offset after multiple user operations. These issues significantly limit the accuracy and practicality of mobile natural resource queries, thus necessitating a new technical solution to address these problems. Summary of the Invention

[0007] To address the limitations of the prior art, this invention proposes a method and system for mobile querying of natural resources, which can solve problems such as location distortion, resolution incompatibility, response time lag, and unstable display in the prior art.

[0008] This invention provides a method for planning and querying natural resources, comprising the following steps: loading a three-dimensional virtual earth model to obtain three-dimensional spatial location data of natural resources, and based on progressive processing of high-dimensional location transformation, wavelet dimensionality reduction, nonlinear heterogeneous mapping, multi-resolution optimization and dynamic feedback control, obtaining multi-level visualization of the natural resources at different resolutions, so as to achieve accurate spatial location mapping and dynamic real-time display of the natural resources.

[0009] Preferably, loading the three-dimensional virtual Earth model includes obtaining three-dimensional coordinate data of natural resources, and further performing a high-dimensional position transformation to map the three-dimensional coordinate data to high-dimensional spherical coordinates to enhance position accuracy. The high-dimensional position transformation includes the following steps: based on a set of three-dimensional coordinates... The three-dimensional spatial location of the natural resource is obtained, wherein... , , The three-dimensional spatial coordinates of the natural resource are represented, and the spherical radius of the resource is obtained. Its calculation formula is: and the vertical angle of the sphere Its calculation formula is: and horizontal angle Its calculation formula is: Through high-dimensional spherical mapping functions Obtain the high-dimensional spherical coordinates of the resources to support subsequent dimensionality reduction processing.

[0010] Preferably, the high-dimensional spherical coordinates are further compressed using a multi-scale wavelet dimensionality reduction algorithm to extract core location features from the high-dimensional space and reduce redundant data. The multi-scale wavelet dimensionality reduction includes the following steps: applying wavelet basis vectors to the spherical coordinates of the resource. Perform multi-scale decomposition, wherein the wavelet basis vectors This represents the multi-scale decomposition basis of resources, thus forming low-dimensional feature vectors. , representing the location information characteristics of natural resources, through formulas Obtain the low-dimensional feature vector, where The decomposed low-frequency and high-frequency feature values ​​are represented, which ultimately form a simplified low-dimensional feature set, providing input for heterogeneous mapping.

[0011] Preferably, the low-dimensional feature set is further mapped to a two-dimensional display space using a nonlinear heterogeneous mapping algorithm to achieve a smooth display of natural resources. The nonlinear heterogeneous mapping algorithm includes the following steps: based on the nonlinear mapping matrix... The low-dimensional features of the resource are mapped to two-dimensional planar coordinates, wherein the nonlinear mapping matrix... This represents a heterogeneous mapping from low-dimensional features to two-dimensional planar coordinates, combined with the Laplace-Beltrami operator. The mapping is smoothed and optimized to make the two-dimensional coordinates Represented as Obtain the two-dimensional coordinates of the resource. This is to achieve a smooth transition in the two-dimensional display effect.

[0012] Preferably, the obtained two-dimensional display coordinates are further optimized using a dynamic multi-resolution optimization algorithm to dynamically adjust the display clarity at different resolutions and achieve a balanced display of details and global information. The dynamic multi-resolution optimization algorithm includes the following steps: obtaining the frequency domain representation of the resource through Fourier transform. ,in Includes high-frequency components and low frequency components Based on resolution parameters Dynamically adjust display details to further obtain optimized display coordinates. ,in The inverse Fourier transform is used to restore the frequency-domain adjusted display coordinates in order to optimize display clarity and detail.

[0013] Preferably, the optimized display coordinates are further adjusted based on a real-time feedback control algorithm to dynamically adjust the displayed content according to changes in user input and queries, ensuring the stability of the display effect. The real-time feedback control algorithm includes the following steps: obtaining user input variables. This represents user actions, including zooming or moving, and further obtains coordinate offsets. , through formula Calculate the offset, where The Lyapunov control function ensures the global stability of the display system and adjusts the display coordinates based on the offset to achieve a dynamically balanced display.

[0014] Preferably, the method further includes obtaining the three-dimensional spatial location data and attribute information of the natural resources from a natural resource database, and loading the information into a three-dimensional virtual earth model as input data for high-dimensional location transformation. The attribute information is a set of basic information about the resources and is used for subsequent heterogeneous mapping and display optimization.

[0015] A mobile query system for natural resources includes a 3D virtual earth model module, a data loading module, a location transformation module, a dimensionality reduction module, a heterogeneous mapping module, a multi-resolution optimization module, and a feedback control module. These modules are connected in sequence to load and process spatial data of natural resources, and sequentially implement the steps of the method to achieve accurate spatial location mapping and dynamic display of natural resources.

[0016] Preferably, the three-dimensional virtual earth model module includes a unit for loading the three-dimensional spatial location of natural resources. The position transformation module performs high-dimensional position transformation and wavelet dimensionality reduction based on the three-dimensional spatial location to obtain a low-dimensional core feature set of the natural resources and provides it to the heterogeneous mapping module.

[0017] Preferably, the feedback control module adjusts the display position of natural resources based on user input. The feedback control module is connected to the multi-resolution optimization module and the heterogeneous mapping module to dynamically adjust the clarity and position of the displayed content, so that the displayed content of natural resources maintains real-time responsiveness and stability.

[0018] The present invention has the following beneficial effects:

[0019] The technical solution of this invention is based on high-dimensional position transformation, wavelet dimensionality reduction, heterogeneous mapping, multi-resolution optimization and real-time feedback control algorithms. Through the superposition and synergistic effect of these algorithms, the efficient display and dynamic query of natural resource data in a three-dimensional virtual earth model can be achieved.

[0020] This invention first uses a high-dimensional position transformation algorithm to map the three-dimensional coordinate data of natural resources to a high-dimensional spherical coordinate space, thus avoiding the spatial distortion problem of traditional linear mapping. Subsequently, a multi-scale wavelet dimensionality reduction algorithm compresses the high-dimensional data down to core low-dimensional features, simplifying the data while preserving key information and laying the foundation for subsequent two-dimensional display. A heterogeneous mapping algorithm achieves a smooth conversion from low-dimensional features to two-dimensional display, using the Laplace-Beltramie operator to ensure smoothness and avoid uneven distribution of resource locations. Furthermore, a multi-resolution optimization algorithm adjusts the display resolution in real time according to the user's zoom level, achieving a balanced display of details and global views, ensuring consistent clarity across different zoom levels. Finally, a real-time feedback control algorithm responds to user input through a Lyapunov control function, dynamically adjusting the display position to ensure the stability and consistency of the display after user interaction.

[0021] This invention significantly improves the accuracy, resolution adaptability, response speed, and display stability of natural resource display through the complementarity, superposition, and synergy of each step, solving the main bottlenecks in the prior art and making the display and query of natural resources more efficient, smooth, and reliable. Attached Figure Description

[0022] Figure 1 This is a flowchart of the method of the present invention.

[0023] Figure 2 This is a logical block diagram of the system architecture of the present invention.

[0024] Figure 3 This is a flowchart of the high-dimensional position transformation module of the present invention.

[0025] Figure 4 This is a flowchart of the multi-scale wavelet dimensionality reduction module of the present invention.

[0026] Figure 5 This is a flowchart of the heterogeneous mapping module of the present invention.

[0027] Figure 6 This is a flowchart of the multi-resolution optimization module of the present invention.

[0028] Figure 7 This is a flowchart of the feedback control module of the present invention. Detailed Implementation

[0029] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0031] Please refer to Figure 1-7 This invention provides a method and system for planning and querying natural resources, aiming to achieve accurate visualization and real-time querying of natural resources on a three-dimensional virtual earth model. The method includes multi-level spatial location transformation, compression, and mapping steps, which can improve the accuracy, clarity, and dynamic display effect of natural resource data, ultimately achieving efficient querying and display of resources in a user-friendly manner.

[0032] First, the method of this invention proposes a step of loading a three-dimensional virtual earth model and obtaining three-dimensional spatial location data of natural resources. Specifically, the loaded three-dimensional virtual earth model module 1 presents the Earth's geographic information in a three-dimensional graphical manner, providing a foundation for subsequent spatial location mapping and multi-resolution display of resources. Further, the three-dimensional coordinate data of the natural resources is introduced into the model to obtain basic spatial positional relationships. Next, based on the three-dimensional coordinate data, progressive processing steps such as high-dimensional position transformation, wavelet dimensionality reduction, nonlinear heterogeneous mapping, multi-resolution optimization, and dynamic feedback control are used to map the natural resources from a complex three-dimensional coordinate system to a simpler and easier-to-display multi-layered two-dimensional plane. Through this processing, accurate location mapping and multi-layered visualization of natural resources on the three-dimensional virtual earth model are ultimately achieved, ensuring the dynamic and real-time nature of the display.

[0033] Preferably, in one embodiment of the present invention, the high-dimensional position transformation step is as follows: by mapping the obtained three-dimensional coordinate data of natural resources to a high-dimensional spherical coordinate space, the position accuracy is further improved. In this embodiment, the three-dimensional coordinate set... middle, , and Representing resources The three-dimensional spatial coordinates are used to represent the initial position of the resource. Preferably, the radius of the resource sphere is... The calculation formula is This means The resource's position on the sphere is represented by its distance from the origin. Additionally, the vertical angle... Represented as Used to determine the resource's height position on the sphere; horizontal angle Represented as This is used to determine the horizontal location of resources. Ultimately, this is achieved through a high-dimensional spherical mapping function. The high-dimensional spherical coordinates of the resources are obtained and used as input data for low-dimensional reduction processing to ensure the accuracy and consistency of spatial location. Preferably, the vertical angle can be set within the range of 0 to 180 degrees, and the horizontal angle can be set within the range of 0 to 360 degrees to meet the requirement of uniform distribution of resources on the sphere.

[0034] Preferably, in one embodiment of the present invention, the multi-scale wavelet dimensionality reduction method compresses the high-dimensional spherical coordinate data to core low-dimensional features through wavelet dimensionality reduction processing, thereby removing unnecessary spatial dimensions. Through dimensionality reduction, low-frequency features of the data are obtained, thus removing unimportant high-frequency information from the resources. Preferably, the low-dimensional feature set is processed using wavelet basis vectors. Decomposition is performed on the wavelet basis vectors. This represents the multi-scale decomposition basis of natural resource data. It is used to obtain low-dimensional feature vectors. Using formula ,in These represent the low-frequency and high-frequency feature values ​​obtained after dimensionality reduction. Through wavelet dimensionality reduction, this invention simplifies the data structure, minimizing unnecessary information and providing a foundation for subsequent two-dimensional plane mapping. Preferably, the extraction threshold for low-frequency features can be set below 0.5 to ensure that high-frequency noise is effectively filtered out.

[0035] Preferably, in one embodiment of the present invention, after dimensionality reduction, a nonlinear heterogeneous mapping algorithm is used to further map the low-dimensional feature set onto a two-dimensional planar display space, so that the two-dimensional visualization of natural resources is clearer and smoother. The nonlinear heterogeneous mapping algorithm of the present invention uses a nonlinear mapping matrix... Mapping the low-dimensional features of resources to two-dimensional planar coordinates, where the nonlinear mapping matrix... Mapping the low-dimensional features of resources to two-dimensional planar coordinates, where the nonlinear mapping matrix... This is used to transform the low-dimensional features into a two-dimensional display location. Simultaneously, the Laplace-Beltramian operator is used. Perform smoothing optimization on the two-dimensional coordinates Represented as This step achieves a smooth mapping from low-dimensional feature vectors to two-dimensional coordinates, avoiding edge effects and uneven distribution of resources during display, thus making the two-dimensional display of natural resources highly readable and smooth. This is achieved by appropriately setting the smoothness coefficient of the Laplace-Beltrami operator. The smoothness of the display can be controlled. Preferably, the smoothness coefficient is set between 0.01 and 0.05 to ensure that the displayed content is both smooth and not too blurry.

[0036] Preferably, in one embodiment of the present invention, after completing the two-dimensional display, a multi-resolution optimization algorithm is further proposed to improve the resolution adaptability of the display, thereby maintaining the detail and global balance of the resource display at different scaling levels. In the multi-resolution optimization algorithm, the two-dimensional display coordinates of the resource are transformed into a frequency domain representation through Fourier transform. And decompose it into high-frequency components. and low frequency components Through resolution parameters The display detail scale is dynamically adjusted, with high-frequency components used to enhance detail and low-frequency components used to maintain overall smoothness. The optimized display coordinates are calculated using an inverse Fourier transform. This achieves adaptive resolution control. Preferably, when displaying details that require sharpness, the resolution parameter... It can be set to a range of 0.7 to 1 to increase the weight of high-frequency components; however, when displaying global information, it is preferable to set the value to a range of 0.7 to 1. Setting it between 0.3 and 0.5 ensures a smooth display of overall information. In this way, the present invention can adjust the clarity according to the user's zooming needs when displaying natural resources, achieving dynamic and adaptive information display.

[0037] In summary, this invention achieves a complete transformation of natural resource data from three-dimensional space to two-dimensional display through five progressive steps. In each step, based on specific algorithm models and parameter settings, the displayed information about natural resources is more accurate, clear, and responsive in real time. This invention solves the problems of spatial distortion and insufficient resolution in traditional two-dimensional displays, enabling optimized display of resource information in multi-level and multi-scale environments.

[0038] Preferably, in one embodiment of the present invention, based on the obtained two-dimensional display coordinates, the present invention further adjusts the display position through a real-time feedback control algorithm to dynamically adjust the display effect according to the user's input and ensure the stability of the display system. The core of this algorithm lies in responding to the user's real-time input, such as zooming or moving operations, to adjust the display coordinates and ensure that the position of the natural resource data on the screen updates in real time with the user's operation. First, the user input variables are obtained through the feedback control module. This variable represents the user's action, which may include zoom level or position offset information. Based on this input, the system further obtains the coordinate offset. Its calculation formula is: ,in The Lyapunov control function is used to ensure the stability of the display system. Preferably, the introduction of the Lyapunov control function helps eliminate coordinate offsets caused by user operations, ensuring that each position adjustment effectively restores the system to a stable state, thereby achieving a dynamically balanced display effect. In practical applications, the offset can be determined by setting a threshold. Whether the offset exceeds the allowable range, for example, by setting an offset threshold of 0.05, the system can automatically stop adjusting when the offset value is less than this threshold, avoiding instability caused by over-adjustment. In this way, the present invention can achieve an efficient user interaction experience through real-time feedback control, ensuring that every user input receives an immediate response.

[0039] Preferably, in one embodiment of the present invention, the method includes obtaining the three-dimensional spatial location and attribute information of the resource from a natural resource database to support data loading and location mapping processing in the three-dimensional virtual earth model. The natural resource database of the present invention includes rich attribute information such as the spatial location of the resource, topographic information, land use, and vegetation cover, which can provide the necessary data support for different types of natural resource queries. The data loading module 2 is responsible for loading this information from the database and displaying it in conjunction with the three-dimensional virtual earth model module 1. Preferably, the present invention loads spatial location data closely related to the geographical distribution of the resource to ensure the accuracy of the display. For example, when land use information is involved, the category attributes of the resource (such as agricultural land, residential land, etc.) can be loaded and displayed in the model in categories so that users can quickly distinguish different resource types. This basic data provides the necessary input for high-dimensional location transformation, wavelet dimensionality reduction, and heterogeneous mapping, and ensures the accuracy and richness of the resource in the display.

[0040] Preferably, in one embodiment of the present invention, the planned natural resource mobile query system of the present invention consists of multiple functional modules that collaboratively complete the loading, conversion, and display of resources. First, the 3D virtual earth model module 1 is responsible for loading natural resource data into the virtual earth model to display the spatial distribution of natural resources in a 3D manner. The data loading module 2 obtains spatial location and attribute information from the natural resource database and integrates it with the virtual earth model. The location transformation module 3 completes the conversion from 3D space to high-dimensional space based on the loaded data, forming high-dimensional spherical coordinates, providing input for the dimensionality reduction module 4. The dimensionality reduction module 4 is responsible for compressing high-dimensional data, removing redundant information, and forming low-dimensional features of the resources. Next, the heterogeneous mapping module 5 uses the low-dimensional features to achieve a smooth display of natural resources on a 2D plane. The multi-resolution optimization module 6 is responsible for adjusting the display resolution of the resources to ensure consistency in display clarity at different scaling levels, thereby improving the visual experience. The feedback control module 7 dynamically adjusts the display content and the global stability of the system by adjusting the response to user interaction input in real time. Through the collaborative operation of these modules, the present invention can realize the complete process from resource data loading to dynamic display.

[0041] Preferably, in one embodiment of the present invention, the three-dimensional virtual earth model module 1 completes high-dimensional position transformation and wavelet dimensionality reduction processing by loading the three-dimensional spatial location of natural resources. Specifically, after loading the natural resources into the virtual earth model, the position transformation module 3 begins spatial transformation operations, first mapping the three-dimensional spatial coordinates to a high-dimensional spherical coordinate system, and obtaining the spherical location of the resource based on this coordinate system. This operation provides effective input for the dimensionality reduction module 4. The dimensionality reduction module 4 then compresses the high-dimensional spherical coordinates of the resource based on a multi-scale wavelet dimensionality reduction algorithm, forming a core low-dimensional feature set for the two-dimensional display operation of the heterogeneous mapping module 5. The collaborative operation of these modules ensures accurate mapping and layer-by-layer simplification of natural resources in the virtual earth model. Preferably, the present invention achieves high-precision display of natural resource locations through the cooperation of the three-dimensional virtual earth model module 1 and the position transformation module 3, avoiding the distortion problem in traditional three-dimensional to two-dimensional conversion, and ensuring consistency and coherence of resource information across different display levels.

[0042] Preferably, in one embodiment of the present invention, the feedback control module 7 works collaboratively with the multi-resolution optimization module 6 and the heterogeneous mapping module 5 to achieve real-time adjustment and stability control of the displayed resource content. The function of the feedback control module 7 is to dynamically adjust the displayed content based on real-time user input, such as zooming or rotating operations, thereby ensuring that the effect of user operations is immediately reflected in the displayed content. Simultaneously, the feedback control module 7 uses the Lyapunov stability control function... The display position is adjusted to ensure the display system returns to a stable state under any operation. The multi-resolution optimization module 6, guided by feedback control, adjusts the resolution weights according to display needs. The resolution parameters of high-frequency and low-frequency components are dynamically updated based on changes in the user's viewing angle, ensuring the clarity and integrity of the displayed content. Preferably, when the user zooms in on a certain area, the feedback control module 7 transmits the zoom command in real time and updates the resolution parameters accordingly. Set the weight of high-frequency components to 0.8 or higher to highlight the details of the resource; conversely, set the weight when the user zooms out. The value is set to around 0.5 to maintain a smooth display of global information. In this way, the feedback control module 7, the heterogeneous mapping module 5, and the multi-resolution optimization module 6 work together to achieve dynamic adjustment of natural resource display, resolution adaptation, and global stability of the display system.

[0043] In summary, this invention, through the organic integration of the aforementioned modules, achieves a highly efficient, accurate, and easy-to-operate mobile query method and system for natural resources. Each module in the system works closely together, and the entire process from three-dimensional location loading to two-dimensional display has been meticulously designed to ensure high accuracy and real-time response in the display effect.

[0044] To verify the superiority of this invention, an embodiment and a comparative example are provided for comparison. Several key indicators were selected for the test to comprehensively evaluate the effectiveness of this invention in mobile querying and visualization of natural resources. These indicators are established around the innovative points of this invention and mainly include the spatial accuracy of resource display, resolution adaptability of display, system response time, and the stability of user operation feedback. The testing standards and methods are based on professional evaluation standards for natural resource datasets to ensure the scientific rigor and objectivity of the test results.

[0045] In this embodiment, the method and system of the present invention achieve multi-level optimization of resource display through high-dimensional location transformation, wavelet dimensionality reduction, heterogeneous mapping, multi-resolution optimization, and real-time feedback control algorithms. The dataset used is a natural resource geographic database, which includes multi-dimensional spatial data such as terrain, vegetation, and land use types, covering an area of ​​1000 square kilometers. The system loads the three-dimensional spatial location of the resources and performs dynamic querying and display based on this data. Through the algorithm processing of the present invention, the accuracy, response time, and resolution adaptability of the display effect are tested under different scaling ratios and user operations.

[0046] The comparative example uses a conventional 3D-to-2D mapping method, directly loading and displaying natural resource data using a 3D virtual Earth model. However, this comparative example does not employ multi-scale dimensionality reduction algorithms or heterogeneous mapping; the display relies solely on traditional linear plane mapping. Therefore, it is prone to positional distortion and insufficient clarity during user zooming and dynamic operations. The dataset is the same as the example dataset to ensure consistency in testing conditions.

[0047] The testing indicators, testing standards, and testing methods are as follows:

[0048] 1. Spatial Display Accuracy: The spatial display accuracy test measures the accuracy of the system's display of the spatial location of natural resources at different scaling ratios. The error in the displayed location is calculated by comparing it with a standard natural resource coordinate dataset. An error below 0.5% is considered high accuracy; an error between 0.5% and 1% is considered medium accuracy.

[0049] 2. Resolution Adaptability: Resolution adaptability refers to the system's ability to automatically adjust detail and overall sharpness when varying zoom levels and viewing angles. In the test, the system was zoomed in and out five times consecutively, and the detail retention rate during zooming in and the overall sharpness retention rate during zooming out were calculated. A detail retention rate of 85% or higher and an overall sharpness retention rate of no less than 90% are considered excellent.

[0050] 3. System Response Time: The system response time test is used to evaluate the system's response speed under different user input conditions, especially the effectiveness of real-time feedback control. During the test, a scaling operation is performed every 1 second, and the system's response time is recorded. A response time of less than 0.5 seconds is considered a fast response.

[0051] 4. User Operation Feedback Stability: This metric assesses the stability of the system display under multiple user input conditions. Zoom in or out of the same area five times consecutively and record whether there is significant jitter or shift in the resource display position. A jitter or shift of less than 1% is considered stable.

[0052] The test results are shown in the table below:

[0053] index Testing standards Example Comparative Example Accuracy of spatial display ≤0.5% error 0.3% 1.2% Resolution adaptability Detail retention rate ≥ 85% Detail retention rate: 90%; Global retention rate: 92%. Detail retention rate: 72%; Global retention rate: 80%. System response time ≤0.5 seconds 0.3 seconds 0.7 seconds User operation feedback stability Offset ≤1% 0.8% 2.3%

[0054] The test results show that the embodiments of the present invention significantly outperform the comparative examples in terms of spatial display accuracy. In the embodiments, the high-dimensional position transformation and heterogeneous mapping algorithm of the present invention achieves accurate spatial positioning, with the display accuracy error controlled at 0.3%, far lower than the 1.2% of the comparative examples. This difference demonstrates the significant advantage of the algorithm of the present invention in reducing distortion in traditional linear mapping.

[0055] In terms of resolution adaptability, the embodiments of the present invention perform excellently. The detail retention rate reaches 90%, and the global retention rate is 92%, ensuring consistent clarity of the displayed content across different scaling ratios. This is attributed to the multi-resolution optimization algorithm of the present invention, which dynamically adjusts resolution parameters. To adapt to different display needs, the scale has no adaptive optimization mechanism, the detail retention rate is only 72%, the global retention rate is 80%, and the display effect becomes blurry when scaling.

[0056] Regarding system response time, the feedback time of the embodiment is only 0.3 seconds, significantly faster than the comparative example's 0.7 seconds. This demonstrates the advantage of the real-time feedback control algorithm of the present invention in its rapid response after user input, especially in complex resource query operations, reducing latency and improving the interactive experience.

[0057] In the user operation feedback stability test, the display offset of the embodiment remained at 0.8%, while the comparative embodiment reached 2.3%, demonstrating that the present invention has better display stability during multiple zoom-in or zoom-out operations. The lower offset of the embodiment indicates that it achieves balance and stability of user operations through the Lyapunov control function, allowing the displayed content to quickly return to its original position and avoiding jitter or offset caused by multiple operations.

[0058] In summary, this invention significantly outperforms traditional comparative methods in terms of spatial display accuracy, resolution adaptability, response time, and feedback stability. The test results of the embodiments demonstrate that the algorithm of this invention has significant advantages in processing the 3D-to-2D mapping and multi-level display of natural resources. This embodiment not only ensures the accuracy and stability of the display but also greatly improves the user's interactive experience, verifying the practicality and advancement of the method of this invention.

[0059] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for planning natural resource mobile queries, the method comprising: The method comprises the following steps: loading a three-dimensional virtual earth model, obtaining three-dimensional spatial position data of natural resources, and based on progressive processing of high-dimensional position transformation, wavelet dimension reduction, nonlinear heterogeneous mapping, multi-resolution optimization and dynamic feedback control, obtaining multi-level visualization display of the natural resources at different resolutions to realize accurate mapping and dynamic real-time display of the spatial position of the natural resources.

2. The method for mobile querying of natural resources according to claim 1, characterized in that loading the three-dimensional virtual earth model includes obtaining three-dimensional coordinate data of natural resources, further performing high-dimensional position transformation, mapping the three-dimensional coordinate data to high-dimensional spherical coordinates to enhance position accuracy, the high-dimensional position transformation comprising the following steps: based on the three-dimensional coordinate set The three-dimensional spatial location of the natural resource is obtained, wherein... , , The three-dimensional spatial coordinates of the natural resource are represented respectively, and the spherical radius of the resource is obtained. Its calculation formula is: and the vertical angle of the sphere Its calculation formula is: and horizontal angle Its calculation formula is: Through high-dimensional spherical mapping functions Obtain the high-dimensional spherical coordinates of the resources to support subsequent dimensionality reduction processing.

3. The method of claim 2, wherein the high-dimensional spherical coordinates are further compressed by a multi-scale wavelet dimension reduction algorithm to extract core location features and reduce redundant data from the high-dimensional space, the multi-scale wavelet dimension reduction comprising the steps of: performing multi-scale decomposition on the spherical coordinates of the resources based on a wavelet basis vector wherein the wavelet basis vector represents a multi-scale decomposition basis for the resources, and further forming a low-dimensional feature vector representing location information features of the natural resources, by the formula wherein represents decomposed low and high frequency feature values, and finally forming a simplified low-dimensional feature set to provide input for the heterogeneous mapping.

4. The method of claim 3, wherein the low-dimensional feature set is further mapped to a two-dimensional display space by a nonlinear heterogeneous mapping algorithm to achieve smooth display of the natural resources, the nonlinear heterogeneous mapping algorithm comprising the steps of: constructing a nonlinear mapping matrix based on the low-dimensional feature set and the two-dimensional display space, wherein the nonlinear mapping matrix is represented as: X = WY, and Y = XW T, wherein X is the low-dimensional feature set, Y is the two-dimensional display space, and W is the nonlinear mapping matrix; mapping the low-dimensional features of the resources to two-dimensional plane coordinates, wherein the nonlinear mapping matrix is represented as: X = WY, and Y = XW T, wherein X is the low-dimensional feature set, Y is the two-dimensional display space, and W is the nonlinear mapping matrix; and performing smooth optimization on the mapping to make the two-dimensional coordinates of the resources smooth, wherein the nonlinear mapping matrix is represented as: X = WY, and Y = XW T, wherein X is the low-dimensional feature set, Y is the two-dimensional display space, and W is the nonlinear mapping matrix. ​​​​​​ 5. The method of claim 4, wherein the obtained two-dimensional display coordinates are further optimized by a dynamic multi-resolution optimization algorithm to dynamically adjust display resolution at different resolutions and achieve balanced display of details and global information, the dynamic multi-resolution optimization algorithm comprising the following steps: obtaining a frequency domain representation of the resource by Fourier transform , wherein contains high frequency components and low frequency components , dynamically adjusting display details based on a resolution parameter , and further obtaining optimized display coordinates , wherein is an inverse Fourier transform used to restore the display coordinates adjusted in the frequency domain to achieve optimization of display resolution and details.

6. The method of claim 5, wherein the optimized display coordinates are further adjusted based on a real-time feedback control algorithm to dynamically adjust the display content and ensure the stability of the display effect according to the user input operations and query changes, the real-time feedback control algorithm comprising the steps of: obtaining a user input variable representing a user operation, wherein the operation comprises zooming or moving, further obtaining a coordinate offset , calculating the offset by a formula , wherein is a Lyapunov control function ensuring the global stability of the display system, and adjusting the display coordinates based on the offset to achieve a dynamic balance display.

7. The method of claim 6, further comprising obtaining three-dimensional spatial position data and attribute information of the natural resources from a natural resource database, and loading the information into the three-dimensional virtual earth model as input data for high-dimensional position transformation, wherein the attribute information is a basic information set of the resources, used for subsequent heterogeneous mapping and display optimization.

8. A mobile query system for natural resources planning, characterized in that, The system comprises a three-dimensional virtual earth model module, a data loading module, a position transformation module, a dimension reduction module, a heterogeneous mapping module, a multi-resolution optimization module and a feedback control module, which are connected in sequence, load and process spatial data of natural resources, and realize each step in claims 1 to 7 in sequence to complete accurate mapping and dynamic display of the spatial position of the natural resources.

9. The system of claim 8, wherein the three-dimensional virtual earth model module comprises a unit for loading three-dimensional spatial positions of natural resources, and the position transformation module realizes high-dimensional position transformation and wavelet dimension reduction based on the three-dimensional spatial positions to obtain a low-dimensional core feature set of the natural resources and provide the set to the heterogeneous mapping module.

10. The system of claim 8, wherein the feedback control module adjusts the display position of the natural resources based on user input, and the feedback control module is connected to the multi-resolution optimization module and the heterogeneous mapping module to dynamically adjust the clarity and position of the display content, so that the display content of the natural resources remains real-time responsive and stable.

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