Measurement drawing system and method for natural resource planning

Abstract

The invention relates to a measurement drawing system and method for natural resource planning, and the system comprises a data collection module, the data collection module is connected with a data analysis module, the data analysis module is connected with a data processing module, the data processing module is connected with a data verification module, and the data verification module is connected with a data fusion drawing module. The data fusion drawing module is connected with the parallel relation drawing module, and the parallel relation drawing module is connected with the database storage module; the limitation of traditional planning drawing work is broken through, more scientific planning demonstration can be formed, and coordinated development of ecological civilization construction and reasonable utilization of natural resources is promoted.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of natural resource planning, and particularly relates to a natural resource planning measurement and mapping system and method. BACKGROUND

[0002] With the deepening of China's ecological civilization construction, the ecological value of natural resources is increasingly prominent, and natural resource planning is developing towards digitization and intelligentization. It is essential to implement mapping in the process of natural resource planning. Currently, mapping has adopted intelligent operation. The traditional natural resource planning measurement and mapping system has certain defects in specific use. These defects are mainly reflected in the following aspects: first, the data collection mode of the traditional mapping system is single, and it often only collects data through network data and database data to implement mapping. The final drawing data mode is single, and it cannot reflect the comprehensiveness and geographical entity in the natural resource planning process. Even some systems use field investigation and drawing methods, but the collected data still has one-sidedness and accuracy defects, resulting in inaccurate final mapping results. Second, the traditional mapping system only focuses on the display of spatial distribution information, and lacks the display of related parallel information. In the drawing process, single spatial distribution information cannot fully cover the planning layout, and often needs to be displayed in multiple maps, which leads to the inconvenience of review and management, and cannot reflect the influence of planning results on parallel related factors in the natural resource planning process, resulting in the limitation of planning mapping operation and affecting the scientific and reasonable planning operation, which leads to the formation of non-ecological and unfavorable factors in the planning process.

[0003] Therefore, the current natural resource planning measurement and mapping system has limitations, and it lacks multi-dimensional data fusion mapping, and it is difficult to accurately express the ecological interaction between entities and the ecological impact of business activities, which affects the coordinated development of ecological civilization construction and rational use of natural resources. SUMMARY

[0004] In view of the shortcomings of the prior art, the present application provides a natural resource planning measurement and mapping system and method with high intelligent degree, comprehensive data collection, accurate data processing, multi-dimensional structure of mapping fusion, which can fully reflect the natural resource planning layout, the mapping result display is comprehensive, can reflect the influence of parallel relationship, and is convenient for review and comparison, which is helpful to promote the ecological civilization construction, rational use and coordinated development of natural resources, and the method is simple and easy to operate.

[0005] The technical scheme of the present application is implemented as follows: a measurement and drawing system for natural resource planning, comprising a data acquisition module, the data acquisition module being connected with a data analysis module, the data analysis module being connected with a data processing module, the data processing module being connected with a data verification module, the data verification module being connected with a data fusion and drawing module, the data fusion and drawing module being connected with a parallel relationship drawing module, the parallel relationship drawing module being connected with a database storage module.

[0006] Preferably, the data acquisition module acquires data including map data, planning data, unmanned aerial vehicle field shooting data, and dynamic networking data, wherein the unmanned aerial vehicle field shooting data is acquired by an unmanned aerial vehicle carrying a ground penetrating radar.

[0007] Preferably, the data fusion and drawing module includes spatial information drawing and attribute information drawing.

[0008] Preferably, the parallel relationship drawing module includes parallel of spatial, temporal, and ecological information.

[0009] Preferably, the spatial information drawing includes position information, geometric classification information, and disposal hierarchical information, and the spatial information drawing is implemented by combining drawing of points, lines, surfaces, and bodies at different scales.

[0010] Preferably, the attribute information drawing includes identification information, feature information, and timestamp information, and the attribute information drawing implements combined drawing of basic features and states of natural resources.

[0011] Preferably, the parallel relationship drawing module uses the following formula to implement real-time parallel of spatial, temporal, and ecological information: wherein and represent different natural resources, , and represent coexistence relationship, counterbalance relationship, and causality relationship, respectively.

[0012] A measurement and drawing method of a measurement and drawing system for natural resource planning, comprising the following steps: S1, preliminary preparation including data acquisition, data analysis, data processing, and data verification, collecting map data, planning data, unmanned aerial vehicle field shooting data, and dynamic networking data, analyzing the content and data format of various types of data, evaluating the usability and standardization thereof, and implementing format processing conversion, coordinate system processing conversion, and data processing fusion to eliminate data redundancy, errors, and inconsistency; S2, spatial information drawing When the data in S1 is verified, the data information is converted by a data fusion drawing module, and spatial information drawing is automatically implemented. S3, attribute information drawing On the basis of the initial natural resource planning map in S2, attribute information drawing is further implemented, identification information, feature information and timestamp information are added, the combination of natural resource basic characteristics and state and the initial natural resource planning map is drawn, and a data fusion drawing map is obtained. S4, parallel relationship drawing On the basis of the data fusion drawing map in S3, parallel space, time and ecological information are introduced, parallel relationship drawing formula is introduced, coexistence relationship, counterbalance relationship and cause and effect relationship are calculated and analyzed in real time, and the calculation results are converted and then added to the data fusion drawing map, and a multi-dimensional natural resource planning map is obtained and stored in a database.

[0013] The present application has the following positive effects: 1. In the data acquisition stage of the present application, multiple acquisition modes are adopted, existing map data is sorted and field data is integrated and reference, and dynamic networking data is fused, so that multi-source data acquisition is realized, multi-source data in the natural planning area can be accurately mastered, and multi-dimensional data such as spatial coordinate information, position information, name information, size, horizontal and vertical combination, etc. are covered, the data coverage is wide, and the unmanned aerial vehicle with ground penetrating radar is used for on-site verification, which helps to improve the accuracy in the later drawing process.

[0014] 2. In the process of implementing natural resource planning measurement drawing, the present application can not only fuse and draw multi-source information, but also fuse spatial information and attribute information, and implement multi-dimensional parallel relationship, so as to realize the parallel of space, time and ecology, so as to obtain a planning layout map with wide coverage. More importantly, it can realize one-map display of multi-dimensional parallel relationship, realize hierarchical fusion drawing, and form hierarchical diagram display in the later review and reading process, visually display the related factors and influences in the planning process through the drawing, break through the limitations of traditional planning drawing operation, help to form a more scientific planning demonstration, and promote the coordinated development of ecological civilization construction and rational utilization of natural resources. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The present application is a map data schematic diagram in data acquisition.

[0016] Figure 2This is a schematic diagram of the data acquisition planning process in this invention.

[0017] Figure 3 This is a demonstration image of real-world drone footage of the planned area for this invention.

[0018] Figure 4 This is the initial natural resource planning map of the present invention.

[0019] Figure 5 This is a schematic diagram of the overall modular structure of the system of the present invention.

[0020] Figure 6 This is one of the schematic diagrams of a partial module structure of the system of the present invention.

[0021] Figure 7 This is the second schematic diagram of a partial module structure of the system of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the following description of the invention, it should be noted that the terms "upper," "lower," "left," "right," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation or be constructed and operated in a specific orientation. The term "connection" simply indicates a connection between devices and has no special meaning.

[0024] like Figure 1 , 2 As shown in Figures 3, 4, 5, 6, and 7, a surveying and mapping system for natural resource planning includes a data acquisition module. The data acquisition module is connected to a data analysis module, the data analysis module is connected to a data processing module, the data processing module is connected to a data verification module, the data verification module is connected to a data fusion and mapping module, the data fusion and mapping module is connected to a parallel relationship mapping module, and the parallel relationship mapping module is connected to a database storage module.

[0025] The data acquisition module collects map data, planning data, UAV field photography data, and dynamic network data. The UAV field photography data is collected using UAVs equipped with ground-penetrating radar. The data fusion and rendering module includes spatial information rendering and attribute information rendering. The parallel relationship rendering module includes the parallel rendering of spatial, temporal, and ecological information.

[0026] The spatial information rendering includes location information, geometric classification information, and treatment layering information. Spatial information rendering is performed by combining points, lines, surfaces, and volumes at different scales. The attribute information rendering includes identification information, feature information, and timestamp information. Attribute information rendering combines the basic characteristics and states of natural resource sources. The parallel relationship drawing module uses the following formula to perform real-time parallel rendering of spatial, temporal, and ecological information: ,in and Representing different natural resources, , and These represent coexistence, antagonism, and causation, respectively.

[0027] A surveying and mapping method for a surveying and mapping system used in natural resource planning, characterized by comprising the following steps: Preliminary preparations include data collection, data analysis, data processing, and data verification. This involves collecting map data, planning data, drone field photography data, and dynamic network data. The content and format of various data types are analyzed to assess their usability and standardization. Format conversion, coordinate system conversion, and data fusion are then implemented to eliminate data redundancy, errors, and inconsistencies.

[0028] Spatial information mapping: After the data is verified and qualified, the data information is transformed through the data fusion mapping module and the spatial information mapping operation is automatically carried out. During the mapping process, points, lines, surfaces and volumes are combined and drawn at different scales to obtain an initial natural resource planning map containing location information, geometric classification information and vertical layering information.

[0029] Attribute information drawing: Based on the initial natural resource planning map, further attribute information drawing is carried out, adding identification information, feature information and timestamp information, and completing the combined drawing of the basic characteristics and status of natural resources with the initial natural resource planning map to obtain a data fusion drawing map; Parallel Relationship Diagram Drawing: Based on the data fusion drawing diagram, spatial, temporal, and ecological information are combined in parallel. Parallel relationship drawing formulas are introduced to perform real-time calculations and analyses on coexistence, antagonistic, and causal relationships. The calculation results are then transformed into data and added to the data fusion drawing diagram to obtain a multi-dimensional natural resource planning map, which is then stored in the database.

[0030] Example: Figure 1 As shown, when conducting natural resource planning surveying and mapping, data is collected from the planning area using publicly available map data. First, map information larger than the planning area is collected; this information can be obtained through multiple publicly available map information channels. Simultaneously, the planning data is uploaded, such as... Figure 2 As shown, according to the planning requirements, the planning area map of the source location is entered and uploaded. The coordinate position of this planning area map corresponds to the coordinate position of the collected public map information. At the same time, the coordinate position information within the limited frame is selected by using dynamic network data to correspond with each other. All spatial data are unified to the national geodetic coordinate system, and the surrounding land type and surface cover information are retrieved to extract the boundary of the surrounding area from the planning data.

[0031] After completing the boundary data collection, a field data collection operation using drones was conducted. The drones used for this operation were equipped with ground-penetrating radar, enabling comprehensive coverage data collection of the selected planned area and its surrounding terrain. During the data collection process, such as... Figure 3 As shown, the drone data collection points are divided into five key points: a, b, c, d, and e. The data collection route planning involves two steps. Step one: Starting from point a, the drone flies towards the four key points b, c, d, and e, capturing and collecting ground data along the lines ab+ba, ac+ca, ad+da, and ae. Step two: After completing the data collection in step one, the drone stops at point e and then flies towards points b, c, d, and e sequentially, capturing and collecting ground data along the lines ebcde. During the data collection process, ground-penetrating radar is activated to scan the ground position and record data at key points a, b, c, d, and e. The drone's data collection path for key points a, b, c, d, and e can use multiple modes; the above route planning only represents one such mode.

[0032] After completing the drone-based on-site data collection, the data analysis module analyzes the collected multi-source data, integrating and analyzing the data structure of each type. It assesses the data's content, format, mathematical foundation, and timeliness, evaluating its usability and standardization. The data processing module then performs unified processing, including format conversion, coordinate system transformation, data fusion, and map edge fixing. The data is unified to the same plane coordinate system and elevation system, merging and reconstructing adjacent elements of the same type. The data verification module then performs quality checks, eliminating redundancy, errors, and inconsistencies to ensure the correctness and integrity of the original data. If any data is found to be substandard during the check, it is returned to the data processing system for further processing to ensure data security and accuracy.

[0033] During the data verification module's inspection process, after the data passes verification, the data information is transformed through the data fusion and drawing module, and a drawing template is established. The processed multi-source data is then identified and coded, clarifying the drawing space structure, attributes, and constraints to ensure standardized and unified processing of the multi-source data. Based on the prescribed geometric mapping relationships, points, lines, surfaces, and volumes are used at different scales to combine and draw the verified data, resulting in an initial natural resource planning map containing location information, geometric classification information, and vertical hierarchical information. Figure 4 As shown, Figure 2 The planning entity edge and Figure 1 The publicly available map information in the database is merged and integrated, combined with... Figure 3 Based on on-site photographic information, the edge location and map information of the natural resource planning map, as well as the planning scope framework, are determined. The planning area is then overlaid with on-site survey map information and publicly available map data. The initial natural resource planning map is a composite map encompassing spatial information.

[0034] After the initial natural resource planning map is constructed, attribute information is drawn. The attribute information integrated during the multi-source data acquisition phase is added through the data fusion drawing module. This attribute information includes identification information, feature information, and timestamp information. This information is overlaid onto the initial natural resource planning map using an edge-adding method. Figure 1 The system displays attribute information and can perform overlay display operations. It combines the basic characteristics and status of natural resources with the initial natural resource planning map to obtain a data fusion map.

[0035] For the already drawn data fusion mapping, parallel relationship diagrams are identified and constructed from three dimensions: space, time, and ecology. During the drawing process, such as... Figure 2The topography, landforms, and building relationships surrounding the planned area have all been collected using the data acquisition module. During the parallel relationship diagram drawing process, the following formula was used to connect spatial, temporal, and ecological information in real time: ,in and Representing different natural resources, , and These represent coexistence, antagonism, and causation, respectively.

[0036] The coexistence relationship analysis examines the interdependent vegetation and soil relationships within and around the natural resource planning area. The antagonistic relationship analysis examines competing vegetation relationships. The causal relationship analysis examines the impacts of changes in production and water resources, as well as the impacts that the planning process will bring. After completing the above analysis, the calculation results are transformed into data and then added to the data fusion drawing map to obtain a multi-dimensional natural resource planning map, which is then stored in the database.

[0037] The multi-dimensional natural resource planning map can display a relationship network diagram, which is placed on one side of the data fusion drawing map and can be overlaid. After the multi-dimensional natural resource planning map is stored in the database, it can be accessed. Furthermore, since the multi-dimensional natural resource planning map is not drawn in a single instance, during the implementation of specific planning processes, when data changes at the data collection end, or when information about buildings or ecosystems around the planning area changes, the dynamic network data will capture and upload information in real time. Alternatively, information can be collected through manual data entry, and the collected information will be uploaded, modifying and updating the multi-dimensional natural resource planning map already stored in the database. The updated multi-dimensional natural resource planning map is then re-stored for easy access at any time.

[0038] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A surveying and mapping system for natural resource planning, comprising a data acquisition module, characterized in that: The data acquisition module is connected to the data analysis module, the data analysis module is connected to the data processing module, the data processing module is connected to the data verification module, the data verification module is connected to the data fusion and plotting module, the data fusion and plotting module is connected to the parallel relationship plotting module, and the parallel relationship plotting module is connected to the database storage module.

2. The surveying and mapping system for natural resource planning according to claim 1, characterized in that: The data acquisition module collects map data, planning data, drone field shooting data, and dynamic network data. The drone field shooting data is collected using drones equipped with ground-penetrating radar.

3. The surveying and mapping system for natural resource planning according to claim 1, characterized in that: The data fusion and rendering module includes spatial information rendering and attribute information rendering.

4. The surveying and mapping system for natural resource planning according to claim 1, characterized in that: The parallel relationship drawing module includes the parallelization of spatial, temporal, and ecological information.

5. The surveying and mapping system for natural resource planning according to claim 3, characterized in that: The spatial information rendering includes location information, geometric classification information, and processing layer information. Spatial information rendering is carried out by combining points, lines, surfaces, and volumes at different scales.

6. The surveying and mapping system for natural resource planning according to claim 3, characterized in that: The attribute information drawing includes identification information, feature information, and timestamp information. The attribute information drawing combines the basic characteristics and state of the natural resource source.

7. The surveying and mapping system for natural resource planning according to claim 4, characterized in that: The parallel relationship drawing module uses the following formula to connect spatial, temporal, and ecological information in parallel in real time: ,in and Representing different natural resources, , and These represent coexistence, antagonism, and causation, respectively.

8. A surveying and mapping method for a surveying and mapping system for natural resource planning as described in any one of claims 1-7, characterized in that, The method includes the following steps: S1. Preliminary Preparations This includes data collection, data analysis, data processing, and data verification. It involves collecting map data, planning data, drone field photography data, and dynamic network data, analyzing the content and format of various types of data, evaluating their usability and standardization, and implementing format processing and conversion, coordinate system processing and conversion, and data processing and fusion to eliminate data redundancy, errors, and inconsistencies. S2, Spatial Information Drawing Once the data in S1 has passed verification, the data information is transformed through the data fusion and drawing module, and the spatial information drawing operation is automatically performed. During the drawing process, points, lines, surfaces, and volumes are used to combine and draw the verified data at different scales to obtain an initial natural resource planning map containing location information, geometric classification information, and vertical layering information. S3, Attribute Information Drawing Based on the initial natural resource planning map in S2, further attribute information drawing operations are carried out, adding identification information, feature information and timestamp information to complete the combined drawing of the basic characteristics and status of natural resources with the initial natural resource planning map, resulting in a data fusion drawing map. S4. Drawing Parallel Connection Diagram Based on the S3 data fusion drawing map, spatial, temporal and ecological information are combined in parallel. Parallel relationship drawing formulas are introduced to perform real-time calculation and analysis on coexistence, counterbalancing and causal relationships. The calculation results are then transformed into data and added to the data fusion drawing map to obtain a multi-dimensional natural resource planning map and store it in the database.

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