Optimization algorithm for the location of boundary points in nature reserves

Abstract

The invention relates to the technical field of the intersection of geographic information system and environmental science, and discloses a position optimization algorithm for boundary points of nature reserves. By establishing a position optimization algorithm model, a data collection and sorting module, a boundary point preset module, a calibration point preset module, a range verification module, a working base map making module, a data calculation and analysis module, a result review and adjustment module, and a data archiving and sharing module are established in the model. Data are collected in the data collection and sorting module, the boundary point preset module is used to export boundary point preset data, the calibration point preset module is used to export calibration point preset data, the range verification module is used to export verification data, and according to the verified data and calibration point results, a working base map is generated by a working base map making module, calculation and analysis are performed in a data calculation and analysis module, result data in the data calculation and analysis module is reviewed, and the working base map and related data that have passed the review are archived and shared.

Description

Technical Field

[0001] The invention relates to the technical field of intersection of geographic information system and environmental science, in particular to a position optimization algorithm for boundary points of nature reserves. Background Art

[0002] In the construction and supervision and management of nature reserves, existing technologies have some defects, which make it impossible to ensure the accurate determination of the boundaries of nature reserves and the scientific, reasonable and standardized implementation. Specifically, due to the backwardness of early technical means, lack of data and information, and extensive management, many nature reserves have failed to clarify the specific boundary coordinates of their scope and functional areas, and lack accurate vector data, which makes construction and management inconvenient. In addition, when demarcating nature reserves, the boundaries of some areas are unclear and fail to accurately match the administrative boundaries and actual landforms such as roads, ditches, and farmland, resulting in the inability to fully implement the boundaries, making the actual measured longitude and latitude and area inconsistent with the approval. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In response to the shortcomings of the existing technology, the present invention provides an algorithm for optimizing the location of nature reserve boundary points, which has the advantages of ensuring the accurate determination of nature reserve boundaries and the scientificity, rationality and standardization of their implementation, solving the problem that the existing technology cannot ensure the accurate determination of nature reserve boundaries and the scientificity, rationality and standardization of their implementation.

[0005] (II) Technical solution

[0006] To achieve the above object, the present invention provides the following technical solution: a nature reserve boundary point location optimization algorithm, comprising the following steps:

[0007] Step 1: Establish models and modules: Establish a location optimization algorithm model, and establish data collection and sorting modules, boundary point preset modules, calibration point preset modules, range verification modules, working base map production modules, data calculation and analysis modules, result review and adjustment modules, and data archiving and sharing modules in the model;

[0008] Step 2: Data collection and collation: In the data collection and collation module, collect image data, topographic map data, real-time monitoring data and related historical data of nature reserves;

[0009] Step 3: Boundary point preset: Use the boundary point preset module to mark the boundary points of the nature reserve in the model based on the collected data, and number and export the boundary point preset data;

[0010] Step 4: Calibration point preset: Use the calibration point preset module to set calibration points at important nature reserve boundary points, and also number and export calibration point preset data;

[0011] Step 5: Scope Verification: Use the scope verification module to verify and edit the preset boundaries to ensure their accuracy, perform area comparison and space inspection, and number and export verification data;

[0012] Step 6: Work base map production: Based on the verified data and calibration point results, use the work base map production module to generate the work base map, ensure that all finishing elements meet the requirements, and number and export the work base map data;

[0013] Step 7, calculation and analysis: in the data calculation and analysis module, the exported data of the boundary point preset module, the calibration point preset module, the range verification module and the working base map making module are calculated and analyzed;

[0014] Step 8: Result review and adjustment: The result review and adjustment module reviews the result data in the data calculation and analysis module. If the review does not meet expectations, the module data will be adjusted.

[0015] Step 9. Data archiving and sharing: The data archiving and sharing module will archive the approved working base map and related data, and share them with other relevant departments or the public as needed.

[0016] Preferably, the boundary point preset module exports boundary point preset data, and the data include the elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency, and the update frequency of the real-time monitoring data. The elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency, and the update frequency of the real-time monitoring data are numbered A1, A2, B1, B2, C1, and C2, respectively.

[0017] Preferably, the calibration point preset module in step 4 exports calibration point preset data, and the data includes terrain factor suitability score, land ownership suitability score and geological condition suitability score, and the terrain factor suitability score, land ownership suitability score and geological condition suitability score are numbered G, H and J respectively.

[0018] Preferably, the range verification module exports verification data, which includes the protected area before verification, the protected area after verification, and the number of errors found in the space inspection, and the protected area before verification, the protected area after verification, and the number of errors found in the space inspection are numbered D q , D h 、m.

[0019] Preferably, the working base map production module exports working base map data, and the data includes terrain feature scores, vegetation type scores and water body distribution scores, and the terrain feature scores, vegetation type scores and water body distribution scores are numbered u1, u2, and u3, respectively.

[0020] Preferably, the data calculation and analysis module calculates the preset complexity index Fl of the boundary point according to the preset data of the boundary point, calculates the preset complexity index Fs of the calibration point according to the preset data of the calibration point, calculates the complexity index Zx of the range verification according to the verification data, and calculates the accuracy index Zy of the working base map according to the working base map data.

[0021] Preferably, the data calculation and analysis module calculates the complexity index Fl of the preset boundary point according to the preset boundary point data, and the calculation formula is:

[0022] Fl=(A1-A2) 2 +(B1-B2) 2 +(C1-C2) 2

[0023] =(ΔA) 2 +(ΔB) 2 +(ΔC) 2

[0024] In the formula, Fl represents the complexity index of the preset boundary point, represents the complexity index of the preset boundary point, A1 represents the elevation of the point on the topographic map, A2 represents the actual elevation of the point obtained by field measurement, ΔA represents the absolute error of the topographic map data, B1 represents the ideal resolution, B2 represents the actual resolution of the measurement, ΔB represents the resolution error of the image data, C1 represents the ideal update frequency, C2 represents the update frequency of the real-time monitoring data, and ΔC represents the update frequency error of the real-time monitoring data;

[0025] The preset complexity index Fl of the boundary point is used to evaluate the degree of location optimization of the boundary point of the nature reserve.

[0026] Preferably, the data calculation and analysis module calculates the complexity index Fs of the calibration point preset according to the calibration point preset data, and the calculation formula is:

[0027] Fs=1-(G*H*J)

[0028] In the formula, Fs represents the complexity index of the punctuation preset, G represents the suitability score of terrain factors, H represents the suitability score of land ownership, and J represents the suitability score of geological conditions;

[0029] The preset complexity index Fs of the calibration point is used to comprehensively evaluate the suitability of the calibration point.

[0030] Preferably, the data calculation and analysis module calculates the complexity index Zx of the range check according to the check data, and the calculation formula is:

[0031] Zx=|D q -D h |+m

[0032] In the formula, Zx represents the complexity index of range check, D q Indicates the area of ​​protected land before verification, D h represents the area of ​​protected area after verification, and m represents the number of errors found in the spatial check;

[0033] The complexity index Zx of the scope verification is used to assess the complexity of the process of adjusting the boundaries of nature reserves.

[0034] Preferably, the data calculation and analysis module calculates the accuracy index Zy of the working base map according to the working base map data, and the calculation formula is:

[0035]

[0036] In the formula, Zy represents the accuracy index of the working base map, u1, u2, and u3 represent the terrain feature score, vegetation type score, and water body distribution score, respectively; w1, w2, and w3 represent the weights of the terrain feature score, vegetation type score, and water body distribution score in the accuracy index of the working base map, respectively;

[0037] The accuracy index Zy of the working base map is used to evaluate the quality of the working base map.

[0038] Compared with the prior art, the present invention provides a location optimization algorithm for the boundary points of nature reserves, which has the following beneficial effects:

[0039] 1. The present invention can accurately evaluate the degree of position optimization of the boundary points of nature reserves by calculating the preset complexity index Fl of the boundary points, thereby ensuring the accurate determination and implementation of the boundaries, and setting the expected value in the model. When the result review and adjustment module reviews that the preset complexity index Fl of the boundary point is higher than the expected value, it indicates that it does not meet the current expectations, and it is necessary to re-evaluate the elevation data on the topographic map of the boundary point preset module and the elevation data measured on the spot to ensure the consistency of the two. If there is an obvious difference, it is necessary to re-measure or correct the topographic map data.

[0040] 2. The present invention calculates the preset complexity index Fs of the calibration point, and substitutes the historical and real-time terrain factors, land ownership, and geological condition data into the model to calculate the preset threshold. When the preset complexity index Fs of the calibration point is greater than the threshold, it indicates that there is a problem with the current preset position, and it is necessary to re-evaluate the terrain factors, land ownership, and geological condition data to ensure that the preset punctuation points reach the optimal state in all aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1 ,The optimization algorithm for the location of the boundary points of the nature reserve includes the following steps:

[0044] Step 1: Establish models and modules: Establish a location optimization algorithm model, and establish data collection and sorting modules, boundary point preset modules, calibration point preset modules, range verification modules, working base map production modules, data calculation and analysis modules, result review and adjustment modules, and data archiving and sharing modules in the model;

[0045] Step 2: Data collection and collation: In the data collection and collation module, collect image data, topographic map data, real-time monitoring data and related historical data of nature reserves;

[0046] Step 3: Boundary point preset: Use the boundary point preset module to mark the boundary points of the nature reserve in the model based on the collected data, and number and export the boundary point preset data;

[0047] Step 4: Calibration point preset: Use the calibration point preset module to set calibration points at important nature reserve boundary points, and also number and export calibration point preset data;

[0048] Step 5: Scope Verification: Use the scope verification module to verify and edit the preset boundaries to ensure their accuracy, perform area comparison and space inspection, and number and export verification data;

[0049] Step 6: Work base map production: Based on the verified data and calibration point results, use the work base map production module to generate the work base map, ensure that all finishing elements meet the requirements, and number and export the work base map data;

[0050] Step 7, calculation and analysis: in the data calculation and analysis module, the exported data of the boundary point preset module, the calibration point preset module, the range verification module and the working base map making module are calculated and analyzed;

[0051] Step 8. Result review and adjustment: The result review and adjustment module reviews the result data in the data calculation and analysis module. When the review does not meet expectations, the module data is adjusted (to ensure the accuracy and compliance of the final result);

[0052] Step 9. Data archiving and sharing: The data archiving and sharing module will archive the approved working base map and related data, and share them with other relevant departments or the public as needed.

[0053] The boundary point preset module exports boundary point preset data, which includes the elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency and the update frequency of the real-time monitoring data. The elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency and the update frequency of the real-time monitoring data are numbered A1, A2, B1, B2, C1 and C2 respectively.

[0054] Step 4: The calibration point preset module exports the calibration point preset data, which includes terrain factor suitability score, land ownership suitability score and geological condition suitability score. The terrain factor suitability score, land ownership suitability score and geological condition suitability score are numbered G, H and J respectively.

[0055] The range verification module exports verification data, which includes the protected area before verification, the protected area after verification, and the number of errors found in the space inspection. The protected area before verification, the protected area after verification, and the number of errors found in the space inspection are numbered D q , D h 、m.

[0056] The working base map production module exports the working base map data, which includes terrain feature scores, vegetation type scores and water body distribution scores. The terrain feature scores, vegetation type scores and water body distribution scores are numbered u1, u2 and u3 respectively.

[0057] The data calculation and analysis module calculates the complexity index Fl of the boundary point preset according to the boundary point preset data, calculates the complexity index Fs of the calibration point preset according to the calibration point preset data, calculates the complexity index Zx of the range verification according to the verification data, and calculates the accuracy index Zy of the working base map according to the working base map data.

[0058] The data calculation and analysis module calculates the complexity index Fl of the boundary point preset according to the boundary point preset data, and the calculation formula is:

[0059] Fl=(A1-A2) 2 +(B1-B2) 2 +(C1-C2) 2

[0060] =(ΔA) 2 +(ΔB) 2 +(ΔC) 2

[0061] In the formula, Fl represents the complexity index of the preset boundary point, represents the complexity index of the preset boundary point, A1 represents the elevation of the point on the topographic map, A2 represents the actual elevation of the point obtained by field measurement, ΔA represents the absolute error of the topographic map data, B1 represents the ideal resolution, B2 represents the actual resolution of the measurement, ΔB represents the resolution error of the image data, C1 represents the ideal update frequency, C2 represents the update frequency of the real-time monitoring data, and ΔC represents the update frequency error of the real-time monitoring data;

[0062] The preset complexity index Fl of the boundary point is used to evaluate the degree of location optimization of the boundary points of nature reserves.

[0063] The advantages are: by calculating the preset complexity index Fl of the boundary point, the degree of location optimization of the boundary point of the nature reserve can be accurately evaluated, thereby ensuring the accurate determination and implementation of the boundary line, and setting the expected value in the model. When the result review and adjustment module reviews that the preset complexity index Fl of the boundary point is higher than the expected value, it means that it does not meet the current expectations. It is necessary to re-evaluate the elevation data on the topographic map of the boundary point preset module and the elevation data measured in the field to ensure the consistency of the two. If there is an obvious difference, the topographic map data needs to be remeasured or corrected.

[0064] The data calculation and analysis module calculates the complexity index Fs of the calibration point preset according to the calibration point preset data. The calculation formula is:

[0065] Fs=1-(G*H*J)

[0066] In the formula, Fs represents the complexity index of the punctuation preset, G represents the suitability score of terrain factors, H represents the suitability score of land ownership, and J represents the suitability score of geological conditions;

[0067] The preset complexity index Fs of the calibration point is used to comprehensively evaluate the suitability of the calibration point.

[0068] The advantages are: by calculating the preset complexity index Fs of the calibration point, the historical and real-time terrain factors, land ownership, and geological condition data are substituted into the model to calculate the preset threshold. When the preset complexity index Fs of the calibration point is greater than the threshold, it means that there is a problem with the current preset position, and it is necessary to re-evaluate the terrain factors, land ownership and geological condition data to ensure that the preset punctuation points reach the optimal state in all aspects.

[0069] The data calculation and analysis module calculates the complexity index Zx of the range check based on the check data. The calculation formula is:

[0070] Zx=|D q -D h |+m

[0071] In the formula, Zx represents the complexity index of range check, D q Indicates the area of ​​protected land before verification, D h represents the area of ​​protected area after verification, and m represents the number of errors found in the spatial check;

[0072] The complexity index Zx of scope verification is used to assess the complexity of the nature reserve boundary adjustment process.

[0073] The advantages are: by calculating the complexity index Zx of the range check, the historical data is substituted into the model calculation to set the model complexity period value. When the complexity index Zx of the range check is higher than the model complexity period value, it means that parameter errors or abnormal settings occur during the boundary adjustment process. It is necessary to re-evaluate and adjust the relevant parameters of the boundary point preset module and the calibration point preset module to ensure the accuracy of the final result.

[0074] The data calculation and analysis module calculates the accuracy index Zy of the working base map according to the working base map data. The calculation formula is:

[0075]

[0076] In the formula, Zy represents the accuracy index of the working base map, u1, u2, and u3 represent the terrain feature score, vegetation type score, and water body distribution score, respectively; w1, w2, and w3 represent the weights of the terrain feature score, vegetation type score, and water body distribution score in the accuracy index of the working base map, respectively;

[0077] The accuracy index Zy of the working base map is used to evaluate the quality of the working base map.

[0078] The advantages are: by calculating the accuracy index Zy of the working base map as a quantitative value for evaluating the quality of the working base map, it is not only helpful to identify errors and inaccuracies in the map, but also to compare the accuracy of different maps to select the most reliable map, provide guidance for map updates and improvements, and thus enhance map users' trust in the map.

[0079] The above four formulas are combined and used in the algorithm of the present invention to ensure that the method of the present invention has the advantages of accurate determination of the boundaries of nature reserves and scientificity, rationality and standardization in its implementation.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The optimization algorithm for the location of the boundary points of nature reserves is characterized by: The following steps are involved: Step 1: Establish models and modules: Establish a location optimization algorithm model, and establish data collection and sorting modules, boundary point preset modules, calibration point preset modules, range verification modules, working base map production modules, data calculation and analysis modules, result review and adjustment modules, and data archiving and sharing modules in the model; Step 2: Data collection and collation: In the data collection and collation module, collect image data, topographic map data, real-time monitoring data and related historical data of nature reserves; Step 3: Boundary point preset: Use the boundary point preset module to mark the boundary points of the nature reserve in the model based on the collected data, and number and export the boundary point preset data; Step 4: Calibration point preset: Use the calibration point preset module to set calibration points at important nature reserve boundary points, and also number and export calibration point preset data; Step 5: Scope Verification: Use the scope verification module to verify and edit the preset boundaries to ensure their accuracy, perform area comparison and space inspection, and number and export verification data; Step 6: Work base map production: Based on the verified data and calibration point results, use the work base map production module to generate the work base map, ensure that all finishing elements meet the requirements, and number and export the work base map data; Step 7, calculation and analysis: in the data calculation and analysis module, the exported data of the boundary point preset module, the calibration point preset module, the range verification module and the working base map making module are calculated and analyzed; Step 8: Result review and adjustment: The result review and adjustment module reviews the result data in the data calculation and analysis module. If the review does not meet expectations, the module data will be adjusted. Step 9. Data archiving and sharing: The data archiving and sharing module will archive the approved working base map and related data, and share them with other relevant departments or the public as needed.

2. The nature reserve boundary point location optimization algorithm according to claim 1 is characterized by: The boundary point preset module exports boundary point preset data, and the data includes the elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency and the update frequency of the real-time monitoring data. The elevation of the point on the topographic map, the actual elevation of the point obtained by field measurement, the ideal resolution, the measured actual resolution, the ideal update frequency and the update frequency of the real-time monitoring data are numbered A1, A2, B1, B2, C1, and C2, respectively.

3. The nature reserve boundary point location optimization algorithm according to claim 1 is characterized by: The calibration point preset module in step 4 exports the calibration point preset data, which includes the terrain factor suitability score, the land ownership suitability score and the geological condition suitability score, and the terrain factor suitability score, the land ownership suitability score and the geological condition suitability score are numbered G, H and J respectively.

4. The nature reserve boundary point location optimization algorithm according to claim 1, characterized in that: The range verification module exports verification data, which includes the protected area before verification, the protected area after verification, and the number of errors found in the space inspection, and the protected area before verification, the protected area after verification, and the number of errors found in the space inspection are numbered D q , D h 、m.

5. The nature reserve boundary point location optimization algorithm according to claim 1, characterized in that: The working base map production module exports working base map data, which includes terrain feature scores, vegetation type scores and water body distribution scores, and the terrain feature scores, vegetation type scores and water body distribution scores are numbered u1, u2, and u3 respectively.

6. The nature reserve boundary point location optimization algorithm according to claim 1, characterized in that: The data calculation and analysis module calculates the preset complexity index Fl of the boundary point according to the preset data of the boundary point, calculates the preset complexity index Fs of the calibration point according to the preset data of the calibration point, calculates the complexity index Zx of the range verification according to the verification data, and calculates the accuracy index Zy of the working base map according to the working base map data.

7. The nature reserve boundary point location optimization algorithm according to claim 6, characterized in that: The data calculation and analysis module calculates the complexity index Fl of the boundary point preset according to the boundary point preset data, and the calculation formula is: Fl=(A1-A2) 2 +(B1-B2) 2 +(C1-C2) 2 =(ΔA) 2 +(ΔB) 2 +(ΔC) 2 In the formula, Fl represents the complexity index of the preset boundary point, represents the complexity index of the preset boundary point, A1 represents the elevation of the point on the topographic map, A2 represents the actual elevation of the point obtained by field measurement, ΔA represents the absolute error of the topographic map data, B1 represents the ideal resolution, B2 represents the actual resolution of the measurement, ΔB represents the resolution error of the image data, C1 represents the ideal update frequency, C2 represents the update frequency of the real-time monitoring data, and ΔC represents the update frequency error of the real-time monitoring data; The preset complexity index Fl of the boundary point is used to evaluate the location optimization of the boundary point of the nature reserve.

8. The nature reserve boundary point location optimization algorithm according to claim 6, characterized in that: The data calculation and analysis module calculates the complexity index Fs of the calibration point preset according to the calibration point preset data, and the calculation formula is: Fs=1-(G*H*J) In the formula, Fs represents the complexity index of the punctuation preset, G represents the suitability score of terrain factors, H represents the suitability score of land ownership, and J represents the suitability score of geological conditions; The preset complexity index Fs of the calibration point is used to comprehensively evaluate the suitability of the calibration point.

9. The nature reserve boundary point location optimization algorithm according to claim 6, characterized in that: The data calculation and analysis module calculates the complexity index Zx of the range verification based on the verification data, and the calculation formula is: Zx=|D q -D h |+m In the formula, Zx represents the complexity index of range check, D q Indicates the area of ​​protected land before verification, D h represents the area of ​​protected area after verification, and m represents the number of errors found in the spatial check; The complexity index Zx of the scope verification is used to assess the complexity of the process of adjusting the boundaries of nature reserves.

10. The nature reserve boundary point location optimization algorithm according to claim 6, characterized in that: The data calculation and analysis module calculates the accuracy index Zy of the working base map according to the working base map data, and the calculation formula is: In the formula, Zy represents the accuracy index of the working base map, u1, u2, and u3 represent the terrain feature score, vegetation type score, and water body distribution score, respectively; w1, w2, and w3 represent the weights of the terrain feature score, vegetation type score, and water body distribution score in the accuracy index of the working base map, respectively; The accuracy index Zy of the working base map is used to evaluate the quality of the working base map.

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