Natural resource fine management method and platform

Abstract

The invention is suitable for the technical field of natural resource management, and provides a natural resource fine management method and platform. The method comprises the following steps: dividing a plurality of management areas, and determining a plurality of corresponding natural resource types; planning a plurality of monitoring routes and monitoring parameters; monitoring and controlling the unmanned aerial vehicle; electric wire and telegraph pole identification is carried out, influence analysis is carried out, and a plurality of influence extension segments are determined; and performing optimization analysis on the plurality of influence extension fragments to generate a plurality of optimized extension fragments. Management areas corresponding to a plurality of natural resource types can be divided, monitoring planning and monitoring control can be carried out, monitoring data of a plurality of areas can be acquired, identification, influence analysis and optimization analysis of electric wires and telegraph poles can be carried out, and a plurality of influence extension segments with adverse influences of the electric wires and the telegraph poles can be determined according to different natural resource types. And a plurality of corresponding optimized extension segments are planned, so that the damage of the electric wire and the telegraph pole to the diversity of land, vegetation and biology is reduced.

Description

Technical Field

[0001] This invention belongs to the field of natural resource management technology, and in particular relates to a method and platform for refined management of natural resources. Background Technology

[0002] Natural resources are the material and environmental foundation for human survival and social development, and are characterized by regionality, finiteness, differences in renewability, and irreplaceability.

[0003] The rational development, economical utilization, and effective protection of natural resources are important prerequisites for achieving harmonious coexistence between humanity and nature.

[0004] In terms of the refined management of natural resources, existing technologies usually do not consider the adverse effects of power lines and poles. Power lines and poles that have not been properly planned and arranged directly occupy and change the form of natural resources, causing certain damage to land, vegetation and biodiversity. Summary of the Invention

[0005] The purpose of this invention is to provide a method and platform for refined management of natural resources, aiming to solve the technical problems existing in the prior art mentioned in the background.

[0006] The embodiments of the present invention are implemented as follows: A method for refined management of natural resources, the method specifically includes the following steps: Determine the scope of refined management, obtain basic data on the scope of refined management, conduct natural resource classification analysis, divide into multiple management areas, and determine multiple corresponding natural resource types; Extract regional topographic data from multiple management areas, and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types; According to multiple monitoring routes and multiple monitoring parameters, the UAV is monitored and controlled in multiple management areas to obtain monitoring data from multiple areas; Power lines and poles are identified from monitoring data of multiple regions to determine multiple related extension segments, and impact analysis is performed according to multiple natural resource types to determine multiple impact extension segments; Based on the terrain data of multiple regions, multiple influence extension segments are optimized and analyzed to generate multiple optimized extension segments.

[0007] As a further limitation of the technical solution of this embodiment of the invention, the steps of determining the scope of refined management, obtaining the basic data of the scope of refined management, performing natural resource classification analysis, dividing multiple management areas, and determining multiple corresponding natural resource types specifically include the following steps: Define the scope of refined management; Obtain the basic data for the scope of the refined management; A natural resource classification analysis is performed on the basic data of the scope to determine multiple natural resource types within the scope of refined management. These multiple natural resource types include land resources, vegetation resources, and wildlife resources. Based on the various natural resource types, perform boundary analysis on the basic data of the range to determine the boundary location data of the various natural resource types; Based on multiple boundary location data, the refined management scope is divided into management areas corresponding to multiple natural resource types.

[0008] As a further limitation of the technical solution of this embodiment of the invention, the step of extracting regional terrain data of multiple management areas and planning multiple monitoring routes and monitoring parameters according to multiple natural resource types specifically includes the following steps: Extract regional terrain data for multiple management areas from the aforementioned basic data. Determine the monitoring density and monitoring altitude corresponding to multiple of the aforementioned natural resource types; Based on multiple monitoring densities and multiple monitoring altitudes, flight monitoring routes are planned for multiple regional terrain data to generate multiple monitoring routes; Based on multiple monitoring routes, multiple corresponding flight speeds, shooting frequencies, and shooting angles are planned to obtain multiple monitoring parameters.

[0009] As a further limitation of the technical solution of this embodiment of the invention, the step of monitoring and controlling the UAV in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and obtaining monitoring data in multiple areas, specifically includes the following steps: Multiple monitoring control signals are generated based on the multiple monitoring routes and multiple monitoring parameters; Based on the aforementioned monitoring and control signals, the drones are monitored and controlled in multiple management areas; Receives monitoring data from multiple regions via feedback transmission.

[0010] As a further limitation of the technical solution of this invention embodiment, the step of identifying power lines and poles from multiple monitoring data of the regions, determining multiple related extended segments, and performing impact analysis according to multiple natural resource types to determine multiple impact extension segments specifically includes the following steps: Identify power lines and poles from monitoring data in multiple areas to determine multiple related extension segments; An impact analysis of land fragmentation on relevant extended segments of land resources; An analysis of the impact of abnormal continuity disruption on relevant extension segments of vegetation resources; An analysis of the impact of migration barriers on relevant extension segments of wildlife resources; Record the impact analysis results and identify multiple impact extension segments from the multiple related extension segments.

[0011] As a further limitation of the technical solution of this invention, the step of optimizing and analyzing multiple influence extension segments based on multiple regional terrain data to generate multiple optimized extension segments specifically includes the following steps: Based on the terrain data of the multiple regions, the multiple impact extension segments are optimized and analyzed, and multiple alternative optimization segments are planned for each impact extension segment. Obtain the segment distances of multiple candidate optimized segments; The distances of multiple segments are compared within the same genus, and multiple shortest distances are selected; Based on the multiple shortest distances, select the multiple optimized extension segments corresponding to the multiple candidate optimized segments.

[0012] A refined natural resource management platform, comprising a resource classification and division module, a regional monitoring and planning module, a regional monitoring and control module, an impact analysis module, and an optimization analysis module, wherein: The resource classification and division module is used to determine the scope of refined management, obtain the basic data of the scope of refined management, conduct natural resource classification analysis, divide multiple management areas, and determine multiple corresponding natural resource types. The regional monitoring and planning module is used to extract regional topographic data of multiple management areas and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types. The area monitoring and control module is used to monitor and control the UAV in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and to acquire multiple area monitoring data; The impact analysis module is used to identify power lines and poles from multiple monitoring data of the aforementioned areas, determine multiple related extended segments, and perform impact analysis according to multiple natural resource types to determine multiple impact extension segments. The optimization analysis module is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and generate multiple optimized extension segments.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the resource classification and division module specifically includes: Scope definition unit, used to define the scope of refined management; The data acquisition unit is used to acquire the basic data of the scope of the refined management scope; The natural resource classification unit is used to perform natural resource classification analysis on the basic data of the scope, and to determine multiple natural resource types within the scope of refined management. The multiple natural resource types include land resources, vegetation resources and wildlife resources. A boundary analysis unit is used to perform boundary analysis on the range basic data according to multiple natural resource types, and determine the boundary location data of multiple natural resource types; The region division unit is used to divide the refined management scope into management areas corresponding to the multiple natural resource types based on the multiple boundary location data.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the influence analysis module specifically includes: The power line and pole identification unit is used to identify power lines and poles from monitoring data in multiple areas and determine multiple related extension segments. The land resource impact analysis unit is used to analyze the impact of land fragmentation on the relevant extended segments of land resources. The Vegetation Resource Impact Analysis Unit is used to analyze the impact of abnormal continuity damage on relevant extended segments of vegetation resources. The Wildlife Resources Impact Analysis Unit is used to analyze the impact of migration barriers on relevant extension segments of wildlife resources. The influence extension segment determination unit is used to record the influence analysis results and determine multiple influence extension segments from multiple related extension segments.

[0015] As a further limitation of the technical solution of this embodiment of the invention, the optimization analysis module specifically includes: The alternative optimization segment planning unit is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and multiple alternative optimization segments are planned for each influence extension segment. The fragment distance acquisition unit is used to acquire the fragment distance of multiple candidate optimized fragments; The shortest distance selection unit is used to compare the distances of multiple segments within the same category and select multiple shortest distances. The optimized extended segment selection unit is used to select, from the multiple candidate optimized segments, multiple optimized extended segments corresponding to the multiple affected extended segments according to the multiple shortest distances.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention divides management areas into multiple zones and identifies corresponding natural resource types; plans multiple monitoring routes and parameters; performs monitoring and control using unmanned aerial vehicles (UAVs); identifies power lines and poles, conducts impact analysis, and identifies multiple impact extension segments; and optimizes these impact extension segments to generate multiple optimized extension segments. It can divide management areas corresponding to multiple natural resource types, conduct monitoring planning and control, acquire monitoring data from multiple areas, identify, analyze, and optimize power lines and poles, identify multiple impact extension segments with adverse effects from power lines and poles according to different natural resource types, and plan multiple corresponding optimized extension segments to reduce the damage caused by power lines and poles to land, vegetation, and biodiversity. Attached Figure Description

[0017] Figure 1 A flowchart of the refined natural resource management method provided in an embodiment of the present invention is shown; Figure 2 The following is an application architecture diagram of the refined natural resource management platform provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0019] Understandably, in the current technology for the refined management of natural resources, the adverse effects of power lines and poles are usually not considered. Power lines and poles that have not been properly planned and arranged directly occupy and change the form of natural resources, causing certain damage to land, vegetation and biodiversity.

[0020] To address the aforementioned issues, this invention discloses a method and platform for refined management of natural resources. This method involves: determining the scope of refined management; acquiring basic data on the scope of refined management; performing natural resource classification analysis to divide the area into multiple management regions and identify multiple corresponding natural resource types; extracting regional topographic data from multiple management regions and planning multiple monitoring routes and parameters according to the multiple natural resource types; conducting UAV monitoring and control in multiple management regions according to the multiple monitoring routes and parameters to acquire monitoring data from multiple regions; identifying power lines and poles from the monitoring data of multiple regions, determining multiple related extension segments, and performing impact analysis according to the multiple natural resource types to determine multiple impact extension segments; and optimizing these impact extension segments based on the topographic data of multiple regions to generate multiple optimized extension segments. This method enables the division of management regions corresponding to multiple natural resource types, the implementation of monitoring planning and control, the acquisition of monitoring data from multiple regions, the identification, impact analysis, and optimization analysis of power lines and poles, the identification of multiple impact extension segments with adverse effects from power lines and poles according to different natural resource types, and the planning of multiple corresponding optimized extension segments, thereby reducing the damage caused by power lines and poles to land, vegetation, and biodiversity.

[0021] Specifically, Figure 1 A flowchart of the refined management method for natural resources provided by an embodiment of the present invention is shown.

[0022] In a preferred embodiment of the present invention, a method for refined management of natural resources is characterized by comprising the following steps: Step S101: Determine the scope of refined management, obtain basic data on the scope of refined management, conduct natural resource classification analysis, divide into multiple management areas, and determine multiple corresponding natural resource types.

[0023] In this embodiment of the invention, the scope of refined management is determined, and basic data such as maps, geological topography, static natural resource distribution, and dynamic natural resource records of the scope are obtained. Then, according to the static natural resource distribution and dynamic natural resource records in the scope basic data, natural resource classification analysis is performed to determine multiple natural resource types such as land resources, vegetation resources, and wildlife resources within the scope of refined management. Subsequently, according to the multiple natural resource types, boundary analysis is performed on the scope basic data to determine the boundary location data of multiple natural resource types within the scope of refined management. Then, based on the multiple boundary location data, the scope of refined management is divided into management areas corresponding to multiple natural resource types.

[0024] It is understandable that static natural resource distribution corresponds to the distribution data of land resources and vegetation resources within the scope of refined management; dynamic natural resource records correspond to the record information of the migration routes and habitat locations of wild animals within the scope of refined management.

[0025] Specifically, in another preferred embodiment provided by the present invention, the steps of determining the scope of refined management, obtaining basic data on the scope of refined management, performing natural resource classification analysis, dividing into multiple management areas, and determining multiple corresponding natural resource types specifically include the following steps: Define the scope of refined management; Obtain the basic data for the scope of the refined management; A natural resource classification analysis is performed on the basic data of the scope to determine multiple natural resource types within the scope of refined management. These multiple natural resource types include land resources, vegetation resources, and wildlife resources. Based on the various natural resource types, perform boundary analysis on the basic data of the range to determine the boundary location data of the various natural resource types; Based on multiple boundary location data, the refined management scope is divided into management areas corresponding to multiple natural resource types.

[0026] Furthermore, the refined management method for natural resources also includes the following steps: Step S102: Extract regional terrain data of multiple management areas, and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types.

[0027] In this embodiment of the invention, regional terrain data of multiple management areas are extracted from the basic range data, and different monitoring densities and monitoring altitudes are planned according to different natural resource types. Then, according to multiple monitoring densities and multiple monitoring altitudes, flight monitoring routes are planned for multiple regional terrain data to generate monitoring routes for multiple management areas. Based on multiple monitoring routes, multiple corresponding flight speeds, shooting frequencies and shooting angles are planned to obtain multiple monitoring parameters.

[0028] It is understood that, in this embodiment of the invention, the monitoring density of wildlife resources is greater than that of vegetation resources, and the monitoring density of vegetation resources is greater than that of land resources; the monitoring height of wildlife resources is higher than that of vegetation resources, and the monitoring height of vegetation resources is higher than that of land resources.

[0029] Understandably, the higher the monitoring density, the shorter the distance between two parallel and adjacent routes in the monitoring route.

[0030] Specifically, in another preferred embodiment provided by the present invention, the step of extracting regional topographic data of multiple management areas and planning multiple monitoring routes and monitoring parameters according to multiple natural resource types specifically includes the following steps: Extract regional terrain data for multiple management areas from the aforementioned basic data. Determine the monitoring density and monitoring altitude corresponding to multiple of the aforementioned natural resource types; Based on multiple monitoring densities and multiple monitoring altitudes, flight monitoring routes are planned for multiple regional terrain data to generate multiple monitoring routes; Based on multiple monitoring routes, multiple corresponding flight speeds, shooting frequencies, and shooting angles are planned to obtain multiple monitoring parameters.

[0031] Furthermore, the refined management method for natural resources also includes the following steps: Step S103: According to the multiple monitoring routes and multiple monitoring parameters, the UAV is monitored and controlled in multiple management areas to obtain monitoring data for multiple areas.

[0032] In this embodiment of the invention, during the process of monitoring multiple management areas by drones, the drone's positioning data is acquired in real time, and multiple corresponding monitoring control signals are dynamically generated based on multiple monitoring routes and multiple monitoring parameters. According to the multiple monitoring control signals, the drone is monitored and controlled in multiple management areas, and multiple area monitoring data transmitted by the drones are received.

[0033] Specifically, in another preferred embodiment provided by the present invention, the step of monitoring and controlling the UAV in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and acquiring monitoring data for multiple areas, specifically includes the following steps: Multiple monitoring control signals are generated based on the multiple monitoring routes and multiple monitoring parameters; Based on the aforementioned monitoring and control signals, the drones are monitored and controlled in multiple management areas; Receives monitoring data from multiple regions via feedback transmission.

[0034] Furthermore, the refined management method for natural resources also includes the following steps: Step S104: Identify power lines and poles in the monitoring data of multiple areas, determine multiple related extended line segments, and perform impact analysis according to multiple natural resource types to determine multiple impact extension segments.

[0035] In this embodiment of the invention, based on preset power line characteristic data and utility pole characteristic data, power lines and utility poles are identified from monitoring data of multiple areas to determine multiple related extension segments. Then, the impact analysis of land fragmentation is performed on the related extension segments of land resources, the impact analysis of abnormal continuity damage is performed on the related extension segments of vegetation resources, and the impact analysis of migration obstruction is performed on the related extension segments of wildlife resources. The impact analysis results are then recorded, and based on the impact analysis results, multiple impact extension segments are determined from the multiple related extension segments.

[0036] Understandably, the related extended line segments are the result of recording the distribution of power lines and utility poles in the form of extended line segments.

[0037] Understandably, the impact analysis of land fragmentation on relevant extension segments of land resources involves identifying and judging the land size adjacent to the relevant extension segments. If the land size is smaller than a preset size threshold, it indicates the existence of land fragmentation. In this case, the segments of the relevant extension segments affected by land fragmentation are marked as impact extension segments. Similarly, the impact analysis of abnormal continuity disruption on relevant extension segments of vegetation resources involves identifying and judging whether there are linear gaps that disrupt vegetation continuity adjacent to the relevant extension segments. If there are linear gaps that disrupt vegetation continuity, it is determined that there is an impact of abnormal continuity disruption. In this case, the segments of the relevant extension segments affected by abnormal continuity disruption are marked as impact extension segments. Likewise, the impact analysis of migration barrier on relevant extension segments of wildlife resources involves identifying and judging whether the relevant extension segments of wildlife resources block wildlife migration routes or destroy wildlife habitats. If they block wildlife migration routes or destroy wildlife habitats, it is determined that there is an impact of migration barrier. In this case, the segments of the relevant extension segments affected by migration barrier are marked as impact extension segments.

[0038] Specifically, in another preferred embodiment provided by the present invention, the step of identifying power lines and poles from multiple monitoring data of the aforementioned areas, determining multiple related extended line segments, and performing impact analysis according to multiple natural resource types to determine multiple impact extension segments specifically includes the following steps: Identify power lines and poles from monitoring data in multiple areas to determine multiple related extension segments; An impact analysis of land fragmentation on relevant extended segments of land resources; An analysis of the impact of abnormal continuity disruption on relevant extension segments of vegetation resources; An analysis of the impact of migration barriers on relevant extension segments of wildlife resources; Record the impact analysis results and identify multiple impact extension segments from the multiple related extension segments.

[0039] Furthermore, the refined management method for natural resources also includes the following steps: Step S105: Based on multiple regional terrain data, perform optimization analysis on multiple influence extension segments to generate multiple optimized extension segments.

[0040] In this embodiment of the invention, based on topographic data from multiple regions, multiple impact extension segments are optimized and analyzed. For each impact extension segment, multiple candidate optimization segments are planned, and the segment distances of the multiple candidate optimization segments are obtained. Then, according to the corresponding relationship between the multiple candidate optimization segments and the multiple impact extension segments, the distances of the multiple segments are compared within the same category, and multiple shortest distances are selected. Then, according to the multiple shortest distances, multiple optimized extension segments corresponding to the multiple impact extension segments are selected from the multiple candidate optimization segments. Subsequently, according to the multiple optimized extension segments, the layout of power lines and utility poles of the multiple corresponding impact extension segments can be changed to eliminate the impact of power lines and utility poles on land fragmentation, abnormal continuity disruption, and / or migration obstruction.

[0041] It is understandable that none of the alternative optimization segments are affected by land fragmentation, abnormal continuity disruption, or migration barriers.

[0042] It is understandable that each candidate optimization segment corresponds to multiple candidate optimization segments, multiple segment distances, a shortest distance, and an optimized extended segment.

[0043] Specifically, in another preferred embodiment provided by the present invention, the step of optimizing and analyzing multiple influence extension segments based on multiple regional terrain data to generate multiple optimized extension segments specifically includes the following steps: Based on the terrain data of the multiple regions, the multiple impact extension segments are optimized and analyzed, and multiple alternative optimization segments are planned for each impact extension segment. Obtain the segment distances of multiple candidate optimized segments; The distances of multiple segments are compared within the same genus, and multiple shortest distances are selected; Based on the multiple shortest distances, select the multiple optimized extension segments corresponding to the multiple candidate optimized segments.

[0044] Furthermore, Figure 2 The following is an application architecture diagram of the refined natural resource management platform provided in an embodiment of the present invention.

[0045] Specifically, in another preferred embodiment provided by the present invention, a refined management platform for natural resources includes: The resource classification and division module 101 is used to determine the scope of refined management, obtain the basic data of the scope of refined management, conduct natural resource classification analysis, divide multiple management areas, and determine multiple corresponding natural resource types.

[0046] In this embodiment of the invention, the resource classification and division module 101 determines the scope of refined management and acquires basic data of the scope, such as maps, geological topography, static natural resource distribution, and dynamic natural resource records. Then, according to the static natural resource distribution and dynamic natural resource records in the scope basic data, it performs natural resource classification analysis to determine multiple natural resource types such as land resources, vegetation resources, and wildlife resources within the scope of refined management. After that, according to the multiple natural resource types, it performs boundary analysis on the scope basic data to determine the boundary location data of multiple natural resource types within the scope of refined management. Then, based on the multiple boundary location data, the refined management scope is divided into management areas corresponding to multiple natural resource types.

[0047] Specifically, in another preferred embodiment provided by the present invention, the resource classification and division module 101 specifically includes: Scope definition unit, used to define the scope of refined management; The data acquisition unit is used to acquire the basic data of the scope of the refined management scope; The natural resource classification unit is used to perform natural resource classification analysis on the basic data of the scope, and to determine multiple natural resource types within the scope of refined management. The multiple natural resource types include land resources, vegetation resources and wildlife resources. A boundary analysis unit is used to perform boundary analysis on the range basic data according to multiple natural resource types, and determine the boundary location data of multiple natural resource types; The region division unit is used to divide the refined management scope into management areas corresponding to the multiple natural resource types based on the multiple boundary location data.

[0048] Furthermore, the refined natural resource management platform also includes: The regional monitoring and planning module 102 is used to extract regional topographic data of multiple management areas and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types.

[0049] In this embodiment of the invention, the regional monitoring planning module 102 extracts regional terrain data of multiple management areas from the range basic data, and plans different monitoring densities and monitoring altitudes according to different natural resource types. Then, according to multiple monitoring densities and multiple monitoring altitudes, it plans flight monitoring routes for multiple regional terrain data, generates monitoring routes for multiple management areas, and plans multiple corresponding flight speeds, shooting frequencies and shooting angles based on multiple monitoring routes to obtain multiple monitoring parameters.

[0050] The area monitoring and control module 103 is used to monitor and control the UAV in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and to acquire multiple area monitoring data.

[0051] In this embodiment of the invention, during the process of monitoring multiple management areas by a drone, the area monitoring and control module 103 acquires the drone's positioning data in real time, and dynamically generates multiple corresponding monitoring and control signals based on multiple monitoring routes and multiple monitoring parameters. According to the multiple monitoring and control signals, the drone is monitored and controlled in multiple management areas, and multiple area monitoring data transmitted by the drone are received.

[0052] The impact analysis module 104 is used to identify power lines and poles from multiple monitoring data of the region, determine multiple related extension segments, and perform impact analysis according to multiple natural resource types to determine multiple impact extension segments.

[0053] In this embodiment of the invention, the impact analysis module 104 identifies power lines and poles in multiple regional monitoring data according to preset power line characteristic data and pole characteristic data, determines multiple related extension segments, and then performs impact analysis on land fragmentation of related extension segments of land resources, impact analysis on abnormal continuity damage of related extension segments of vegetation resources, and impact analysis on migration obstruction of related extension segments of wildlife resources. The impact analysis results are then recorded, and multiple impact extension segments are determined from multiple related extension segments according to the impact analysis results.

[0054] Specifically, in another preferred embodiment provided by the present invention, the influence analysis module 104 specifically includes: The power line and pole identification unit is used to identify power lines and poles from monitoring data in multiple areas and determine multiple related extension segments. The land resource impact analysis unit is used to analyze the impact of land fragmentation on the relevant extended segments of land resources. The Vegetation Resource Impact Analysis Unit is used to analyze the impact of abnormal continuity damage on relevant extended segments of vegetation resources. The Wildlife Resources Impact Analysis Unit is used to analyze the impact of migration barriers on relevant extension segments of wildlife resources. The influence extension segment determination unit is used to record the influence analysis results and determine multiple influence extension segments from multiple related extension segments.

[0055] Furthermore, the refined natural resource management platform also includes: The optimization analysis module 105 is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and generate multiple optimized extension segments.

[0056] In this embodiment of the invention, the optimization analysis module 105 performs optimization analysis on multiple impact extension segments based on multiple regional terrain data. For each impact extension segment, multiple candidate optimization segments are planned, and the segment distances of the multiple candidate optimization segments are obtained. Then, according to the corresponding relationship between the multiple candidate optimization segments and the multiple impact extension segments, the segment distances are compared within the same category, and multiple shortest distances are selected. Then, according to the multiple shortest distances, the optimized extension segments corresponding to the multiple impact extension segments are selected from the multiple candidate optimization segments. Subsequently, according to the multiple optimized extension segments, the layout of power lines and utility poles can be changed on the multiple corresponding impact extension segments to eliminate the impact of power lines and utility poles on land fragmentation, abnormal continuity disruption, and / or migration obstruction.

[0057] Specifically, in another preferred embodiment provided by the present invention, the optimization analysis module 105 specifically includes: The alternative optimization segment planning unit is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and multiple alternative optimization segments are planned for each influence extension segment. The fragment distance acquisition unit is used to acquire the fragment distance of multiple candidate optimized fragments; The shortest distance selection unit is used to compare the distances of multiple segments within the same category and select multiple shortest distances. The optimized extended segment selection unit is used to select, from the multiple candidate optimized segments, multiple optimized extended segments corresponding to the multiple affected extended segments according to the multiple shortest distances.

[0058] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for refined management of natural resources, characterized in that, The method specifically includes the following steps: Determine the scope of refined management, obtain basic data on the scope of refined management, conduct natural resource classification analysis, divide into multiple management areas, and determine multiple corresponding natural resource types; Extract regional topographic data from multiple management areas, and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types; According to multiple monitoring routes and multiple monitoring parameters, the UAV is monitored and controlled in multiple management areas to obtain monitoring data from multiple areas; Power lines and poles are identified from monitoring data of multiple regions to determine multiple related extension segments, and impact analysis is performed according to multiple natural resource types to determine multiple impact extension segments; Based on the terrain data of multiple regions, multiple influence extension segments are optimized and analyzed to generate multiple optimized extension segments.

2. The method for refined management of natural resources according to claim 1, characterized in that, The process of determining the scope of refined management, obtaining basic data on the scope of refined management, conducting natural resource classification analysis, dividing into multiple management areas, and determining multiple corresponding natural resource types specifically includes the following steps: Define the scope of refined management; Obtain the basic data for the scope of the refined management; A natural resource classification analysis is performed on the basic data of the scope to determine multiple natural resource types within the scope of refined management. These multiple natural resource types include land resources, vegetation resources, and wildlife resources. Based on the various natural resource types, perform boundary analysis on the basic data of the range to determine the boundary location data of the various natural resource types; Based on multiple boundary location data, the refined management scope is divided into management areas corresponding to multiple natural resource types.

3. The method for refined management of natural resources according to claim 1, characterized in that, The extraction of regional topographic data from multiple management areas, and the planning of multiple monitoring routes and parameters according to multiple natural resource types, specifically includes the following steps: Extract regional terrain data for multiple management areas from the aforementioned basic data. Determine the monitoring density and monitoring altitude corresponding to multiple of the aforementioned natural resource types; Based on multiple monitoring densities and multiple monitoring altitudes, flight monitoring routes are planned for multiple regional terrain data to generate multiple monitoring routes; Based on multiple monitoring routes, multiple corresponding flight speeds, shooting frequencies, and shooting angles are planned to obtain multiple monitoring parameters.

4. The method for refined management of natural resources according to claim 1, characterized in that, The process of monitoring and controlling drones in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and acquiring monitoring data from multiple areas, specifically includes the following steps: Multiple monitoring control signals are generated based on the multiple monitoring routes and multiple monitoring parameters; Based on the aforementioned monitoring and control signals, the drones are monitored and controlled in multiple management areas; Receives monitoring data from multiple regions via feedback transmission.

5. The method for refined management of natural resources according to claim 1, characterized in that, The process of identifying power lines and poles from multiple monitoring data points in the aforementioned areas, determining multiple related extension segments, and conducting impact analysis according to multiple natural resource types to determine multiple impact extension segments specifically includes the following steps: Identify power lines and poles from monitoring data in multiple areas to determine multiple related extension segments; An impact analysis of land fragmentation on relevant extended segments of land resources; An analysis of the impact of abnormal continuity disruption on relevant extension segments of vegetation resources; An analysis of the impact of migration barriers on relevant extension segments of wildlife resources; Record the impact analysis results and identify multiple impact extension segments from the multiple related extension segments.

6. The method for refined management of natural resources according to claim 1, characterized in that, The step of optimizing and analyzing multiple impact extension segments based on multiple regional terrain data to generate multiple optimized extension segments specifically includes the following steps: Based on the terrain data of the multiple regions, the multiple impact extension segments are optimized and analyzed, and multiple alternative optimization segments are planned for each impact extension segment. Obtain the segment distances of multiple candidate optimized segments; The distances of multiple segments are compared within the same genus, and multiple shortest distances are selected; Based on the multiple shortest distances, select the multiple optimized extension segments corresponding to the multiple candidate optimized segments.

7. A refined management platform for natural resources, characterized in that, The platform includes a resource classification and partitioning module, a regional monitoring and planning module, a regional monitoring and control module, an impact analysis module, and an optimization analysis module, wherein: The resource classification and division module is used to determine the scope of refined management, obtain the basic data of the scope of refined management, conduct natural resource classification analysis, divide multiple management areas, and determine multiple corresponding natural resource types. The regional monitoring and planning module is used to extract regional topographic data of multiple management areas and plan multiple monitoring routes and monitoring parameters according to multiple natural resource types. The area monitoring and control module is used to monitor and control the UAV in multiple management areas according to multiple monitoring routes and multiple monitoring parameters, and to acquire multiple area monitoring data; The impact analysis module is used to identify power lines and poles from multiple monitoring data of the aforementioned areas, determine multiple related extended segments, and perform impact analysis according to multiple natural resource types to determine multiple impact extension segments. The optimization analysis module is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and generate multiple optimized extension segments.

8. The refined natural resource management platform according to claim 7, characterized in that, The resource classification module specifically includes: Scope definition unit, used to define the scope of refined management; The data acquisition unit is used to acquire the basic data of the scope of the refined management scope; The natural resource classification unit is used to perform natural resource classification analysis on the basic data of the scope, and to determine multiple natural resource types within the scope of refined management. The multiple natural resource types include land resources, vegetation resources and wildlife resources. A boundary analysis unit is used to perform boundary analysis on the range basic data according to multiple natural resource types, and determine the boundary location data of multiple natural resource types; The region division unit is used to divide the refined management scope into management areas corresponding to the multiple natural resource types based on the multiple boundary location data.

9. The refined natural resource management platform according to claim 7, characterized in that, The impact analysis module specifically includes: The power line and pole identification unit is used to identify power lines and poles from monitoring data in multiple areas and determine multiple related extension segments. The land resource impact analysis unit is used to analyze the impact of land fragmentation on the relevant extended segments of land resources. The Vegetation Resource Impact Analysis Unit is used to analyze the impact of abnormal continuity damage on relevant extended segments of vegetation resources. The Wildlife Resources Impact Analysis Unit is used to analyze the impact of migration barriers on relevant extension segments of wildlife resources. The influence extension segment determination unit is used to record the influence analysis results and determine multiple influence extension segments from multiple related extension segments.

10. The refined natural resource management platform according to claim 7, characterized in that, The optimization analysis module specifically includes: The alternative optimization segment planning unit is used to perform optimization analysis on multiple influence extension segments based on multiple regional terrain data, and multiple alternative optimization segments are planned for each influence extension segment. The fragment distance acquisition unit is used to acquire the fragment distance of multiple candidate optimized fragments; The shortest distance selection unit is used to compare the distances of multiple segments within the same category and select multiple shortest distances. The optimized extended segment selection unit is used to select, from the multiple candidate optimized segments, multiple optimized extended segments corresponding to the multiple affected extended segments according to the multiple shortest distances.

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