A natural resource value accounting system, method and storage medium

Abstract

The present invention discloses a natural resource value accounting system, method, and storage medium, comprising a data acquisition module, a data processing module, a value accounting module, a result verification module, a data update unit, and a data storage unit. The present invention relates to the technical field of value accounting. The natural resource value accounting system, method, and storage medium, provided with a value accounting system, processes collected data to determine various parameters of tree resources. Based on the processed data, accounting operations are performed on various tree resource data to derive a value result regarding the use of the tree resources. This system and method, combined with various factors, calculates the value of natural resources, effectively improving the accuracy of value accounting and enabling efficient resource value accounting through data collection.

Description

Technical Field

[0001] The present invention relates to the field of value accounting technology, and in particular to a natural resource value accounting system, method and storage medium. Background Art

[0002] Natural resources are the foundation of human survival and development. Accurate accounting of their value is of great significance to rational resource allocation, environmental protection and sustainable development.

[0003] The reference patent name is: Natural Resource Value Accounting System (Patent Publication Number: CN113240276A, Patent Publication Date: 2021-08-10), including an input module, a calculation module and a storage module. The input module, the calculation module and the storage module are respectively communicated with each other, and the storage module is used to store resource data information; the input module is used to input operation instructions, and the operation instructions include hydropower generation value Vwe calculation instructions, water conservation value Vwr calculation instructions, soil conservation value Vsr calculation instructions, flood storage value Vfm calculation instructions, water environment purification value Vwp calculation instructions, carbon fixation and oxygen release regulation value Tc calculation instructions and climate regulation value Vtt calculation instructions, which are used to send operation instructions to the calculation module; the calculation module is used to receive operation instructions, and obtain and calculate the corresponding resource data information from the storage module according to the type of calculation instruction, and output the calculation results, which can present data on natural resource conditions more conveniently and efficiently, and can conduct more timely situation evaluation, thereby better protecting the environment.

[0004] Based on the description in the above documents, especially in the tree resource accounting operations involving mountainous areas, the existing tree resource accounting often only considers the corresponding selling price of the corresponding trees as the value result. However, there are often interferences from multiple factors in the process of selling trees, and the accounting operation does not process the trees. As time changes, the addition and loss of trees also have a great impact on the results of the accounting, so that the output results are inaccurate. For this reason, the present invention provides a natural resource value accounting system, method and storage medium. Summary of the Invention

[0005] In response to the deficiencies of the existing technology, the present invention provides a natural resource value accounting system, method and storage medium, which solves the problem that the existing tree resource accounting often only considers the corresponding selling price of the corresponding tree as the value result, but there are often interferences from multiple factors in the sales process of trees, and the accounting operation does not process the trees. As time changes, the addition and loss of trees also have a great impact on the accounting results, so that the output results are inaccurate.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A natural resource value accounting system, comprising:

[0007] The data collection module uses remote sensing technology, drone inspections, and ground monitoring stations to collect data within the required accounting area and integrate market price data and resource processing service data;

[0008] The data processing module processes the collected data and determines the various parameters of tree resources;

[0009] The value accounting module calculates various data of tree resources based on the processed data and obtains the value results of the use of tree resources;

[0010] The result verification module uses historical data from different regions to compare and verify the current calculation results;

[0011] The data update unit transmits the subsequently collected data to the data processing module to update the value accounting results;

[0012] The data storage unit stores the collected, processed and updated data, and stores historical data for value accounting and subsequent result verification.

[0013] Preferably, the operation of processing the collected data in the data processing module is:

[0014] A1. Process the image features within the required calculation area and then establish a 3D resource model based on the image features;

[0015] A2. Segment the 3D resource model, then amplify the segmented feature parts, and calculate the parameters of the local tree feature parts through an estimation algorithm;

[0016] A3. Then extract the parameters about annual tree loss, actual area of ​​the region, estimated number of trees and tree species for subsequent value calculation operations.

[0017] Preferably, the operation of establishing a 3D resource model based on image features in A1 is:

[0018] a11. Extracting a tree feature image from a bird's-eye view of the desired calculation area, and extracting a terrain contour map within the corresponding area;

[0019] a12. A tree-free 3D model of the calculated area is formed based on the topographic contour map, and tree feature images are attached to the tree-free 3D model to form a 3D resource model.

[0020] Preferably, the amplification operation of the segmentation feature portion in A2 is:

[0021] a21. Set multiple straight lines according to the set horizontal and vertical distances, and divide the required calculation area into square areas of equal distance after the straight lines intersect;

[0022] a22. Compare the ratio between the horizontal distance of the grid area and the horizontal distance of the required calculation area with the ratio between the vertical distance of the grid area and the vertical distance of the required calculation area;

[0023] a23. Select a smaller ratio as the magnification ratio of the corresponding shooting device, and then complete the data collection of each grid area after adjusting the ratio.

[0024] Preferably, the estimation algorithm in A2 operates as follows:

[0025] B1. Mark the amount of trees in each grid area as M m ;

[0026] B2. Distinguish the corresponding age ranges of trees in each grid area, and set the number of trees per acre in different age ranges as {N1, N2, ..., N n}, and distinguish each grid area as a slope or a plane, so as to calculate the amount of trees in the corresponding grid area;

[0027] B3. The formula for calculating the number of trees in each grid area is:

[0028] M m =W×N n × (S1 / S2) × S3;

[0029] M m Refers to the number of trees in the mth square area, N n It refers to the number of trees per acre in the nth year interval, S1 is the area occupied by trees in the grid area, S2 is the area of ​​the grid area, S3 is the actual area of ​​the grid area, and W is the weight of the corresponding trees added in the process of increasing year by year;

[0030] W=1+w1-w2;

[0031] And w1 is the rate of increase in tree population, and w2 is the rate of death of tree population.

[0032] Preferably, the steps for calculating the actual area of ​​the grid area are:

[0033] b31. Using a corner point of the grid area as the origin, establish an X-axis with the origin as the starting point and along the horizontal boundary of the grid area, establish a Y-axis with the origin as the starting point and along the vertical boundary of the grid area, and establish a Z-axis with the origin as the starting point and at right angles to the X-axis and Y-axis to form a three-dimensional coordinate system;

[0034] b32. Mark the coordinates of the other corner points of the grid area. The coordinates of the two corner points adjacent to the origin are (0, y1, z1) and (x1, 0, z2), while the coordinates of the corner point not adjacent to the origin are (x1, y1, z1).

[0035] b33. Calculate the areas of S2 and S3 based on the coordinates. The calculation formula is:

[0036] S2=x1×y1;

[0037] The value of x1 is the horizontal boundary distance of the grid area, and the value of y1 is the vertical boundary distance of the grid area;

[0038] ;

[0039] is the actual vertical boundary distance of the grid area.

[0040] Preferably, the value accounting module obtains the value result of tree resource use in the following steps:

[0041] C1. Summarize the extracted data and calculate the labor and transportation costs per acre for resource processing (F1) and the costs of trees of different ages and sizes (K) based on market price data and resource processing service data. L ;

[0042] C2. The value of tree resource use is calculated by combining the tree resource's own value, resource renewal parameters, and resource processing costs. The calculation formula is:

[0043] ;

[0044] G represents the value of tree resource use, M m represents the number of trees in the mth square area, and K L It is expressed as the selling cost of the tree at the Lth year size, S j It represents the total area of ​​all grid areas, and F1 is the labor and transportation cost per acre for resource processing.

[0045] Preferably, the specific operations of the result verification module are:

[0046] By extracting historical data from the database, sales data for the same area as the current trees are compared, and extracting the required accounting area with the same historical area situation for value accounting, and then comparing the sales results with the calculated value;

[0047] If the calculated value is determined to be within the floating range of the sales result, the calculated value result is accurate; otherwise, the calculated value needs to be compensated and recalculated.

[0048] The present invention also discloses a method for calculating the value of natural resources, which specifically includes the following steps:

[0049] D1. Complete data collection of the required accounting area through various devices, and collect information on market resources and processing services through research;

[0050] D2. Process the data to retain the required parameter data on tree resources, and complete the value calculation results for the required calculation area based on the parameter data. After the calculation is completed, select the sales data of the same resource type in the historical data for analog comparison to achieve result verification and optimization operations;

[0051] D3. Real-time updates of value accounting results are achieved as market data and resource conditions change, while all processing data in the operation is stored in the database.

[0052] The present invention also discloses a storage medium, on which a computer program for a computer is stored. When the computer program is run by a processor, the steps of the natural resource value accounting method are executed.

[0053] Beneficial effects

[0054] The present invention provides a natural resource value accounting system, method, and storage medium. Compared with the existing technology, it has the following advantages:

[0055] 1. The natural resource value accounting system, method and storage medium, by setting up a value accounting system, processes the collected data, determines the various parameters of tree resources, and implements accounting operations on various tree resource data based on the processed data, and obtains the value results of the use of tree resources. In this way, the accounting operation of the value of natural resources is realized by combining various factors, effectively improving the accuracy of value accounting, and completing efficient resource value accounting through data collection.

[0056] 2. The natural resource value accounting system, method and storage medium segment the three-dimensional resource model and then amplify the segmented feature parts. By comparing the ratio between the horizontal distance of the grid area and the horizontal distance of the required accounting area with the ratio between the vertical distance of the grid area and the vertical distance of the required accounting area, the smaller ratio is selected as the amplification ratio of the corresponding shooting equipment, and then the data collection of each grid area is completed after the adjustment operation is performed according to the ratio, thereby achieving clearer processing and identification of the required accounting area, and combined with subsequent accounting operations, the data extracted before accounting is more accurate, thereby improving the accuracy of subsequent accounting results.

[0057] 3. The natural resource value accounting system, method and storage medium extract historical data from the database to compare the sales data of the area with the current trees, and extract the required accounting area with the same historical area situation for value accounting, and then compare the sales results with the calculated value. In this way, the value results can be calculated, and abnormal situations can be marked and compensated for and optimized, thereby improving the fault tolerance of the accounting operation and achieving the accuracy and stability of the system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a principle block diagram of the natural resource value accounting system of the present invention;

[0059] Figure 2 This is an operational flow chart of the data processing module of the present invention. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0061] See also Figure 1-Figure 2 , the present invention provides four technical solutions:

[0062] Example 1: A natural resource value accounting system, comprising:

[0063] The data collection module uses remote sensing technology, drone inspections, and ground monitoring stations to collect data within the required accounting area and integrate market price data and resource processing service data;

[0064] The data processing module processes the collected data and determines the various parameters of tree resources;

[0065] The value accounting module calculates various data of tree resources based on the processed data and obtains the value results of the use of tree resources;

[0066] The result verification module uses historical data from different regions to compare and verify the current calculation results;

[0067] The data update unit transmits the subsequently collected data to the data processing module to update the value accounting results;

[0068] The data storage unit stores the collected, processed and updated data, and stores historical data for value accounting and subsequent result verification.

[0069] By setting up a value accounting system, the collected data is processed, the various parameters of tree resources are determined, and the accounting operations of various tree resource data are realized based on the processed data, and the value results of the use of tree resources are obtained. In this way, the accounting operations of the value of natural resources are realized by combining various factors, effectively improving the accuracy of value accounting, and efficient resource value accounting can be completed through data collection.

[0070] In the embodiment of the present invention, the operations of processing the collected data in the data processing module are:

[0071] A1. Process the image features within the required calculation area and then establish a 3D resource model based on the image features;

[0072] A2. Segment the 3D resource model, then amplify the segmented feature parts, and calculate the parameters of the local tree feature parts through an estimation algorithm;

[0073] A3. Then extract the parameters about annual tree loss, actual area of ​​the region, estimated number of trees and tree species for subsequent value calculation operations.

[0074] In the embodiment of the present invention, the operation of establishing a 3D resource model based on image features in A1 is as follows:

[0075] a11. Extracting a tree feature image from a bird's-eye view of the desired calculation area, and extracting a terrain contour map within the corresponding area;

[0076] a12. A tree-free 3D model of the calculated area is formed based on the topographic contour map, and tree feature images are attached to the tree-free 3D model to form a 3D resource model.

[0077] In the embodiment of the present invention, the amplification operation of the segmented feature portion in A2 is:

[0078] a21. Set multiple straight lines according to the set horizontal and vertical distances, and divide the required calculation area into square areas of equal distance after the straight lines intersect;

[0079] a22. Compare the ratio between the horizontal distance of the grid area and the horizontal distance of the required calculation area with the ratio between the vertical distance of the grid area and the vertical distance of the required calculation area;

[0080] a23. Select a smaller ratio as the magnification ratio of the corresponding shooting device, and then complete the data collection of each grid area after adjusting the ratio.

[0081] Among them, the three-dimensional resource model is segmented and then the segmented feature parts are magnified. The ratio between the horizontal distance of the grid area and the horizontal distance of the required calculation area is compared with the ratio between the vertical distance of the grid area and the vertical distance of the required calculation area, and the smaller ratio is selected as the magnification ratio of the corresponding shooting equipment. Then, the data collection of each grid area is completed after the adjustment operation is performed according to the ratio, so as to achieve clearer processing and identification of the required calculation area, and combined with subsequent calculation operations, the data extracted before calculation is more accurate, thereby improving the accuracy of subsequent calculation results.

[0082] In the embodiment of the present invention, the estimation algorithm in A2 operates as follows:

[0083] B1. Mark the amount of trees in each grid area as M m ;

[0084] B2. Distinguish the corresponding age ranges of trees in each grid area, and set the number of trees per acre in different age ranges as {N1, N2, ..., N n}, and distinguish each grid area as a slope or a plane, so as to calculate the amount of trees in the corresponding grid area;

[0085] B3. The formula for calculating the number of trees in each grid area is:

[0086] M m =W×N n × (S1 / S2) × S3;

[0087] M m Refers to the number of trees in the mth square area, N n It refers to the number of trees per acre in the nth year interval, S1 is the area occupied by trees in the grid area, S2 is the area of ​​the grid area, S3 is the actual area of ​​the grid area, and W is the weight of the corresponding trees added in the process of increasing year by year;

[0088] W=1+w1-w2;

[0089] And w1 is the rate of increase in tree population, and w2 is the rate of death of tree population.

[0090] There are differences in the number of trees per acre in different age ranges, and the larger the age range, the fewer trees per acre.

[0091] In the embodiment of the present invention, the steps for calculating the actual area of ​​the grid area are:

[0092] b31. Using a corner point of the grid area as the origin, establish an X-axis with the origin as the starting point and along the horizontal boundary of the grid area, establish a Y-axis with the origin as the starting point and along the vertical boundary of the grid area, and establish a Z-axis with the origin as the starting point and at right angles to the X-axis and Y-axis to form a three-dimensional coordinate system;

[0093] b32. Mark the coordinates of the other corner points of the grid area. The coordinates of the two corner points adjacent to the origin are (0, y1, z1) and (x1, 0, z2), while the coordinates of the corner point not adjacent to the origin are (x1, y1, z1).

[0094] b33. Calculate the areas of S2 and S3 based on the coordinates. The calculation formula is:

[0095] S2=x1×y1;

[0096] The value of x1 is the horizontal boundary distance of the grid area, and the value of y1 is the vertical boundary distance of the grid area;

[0097] ;

[0098] is the actual vertical boundary distance of the grid area.

[0099] In the embodiment of the present invention, the value accounting module obtains the value result of tree resource use in the following steps:

[0100] C1. Summarize the extracted data and calculate the labor and transportation costs per acre for resource processing (F1) and the costs of trees of different ages and sizes (K) based on market price data and resource processing service data. L ;

[0101] C2. The value of tree resource use is calculated by combining the tree resource's own value, resource renewal parameters, and resource processing costs. The calculation formula is:

[0102] ;

[0103] G represents the value of tree resource use, M m represents the number of trees in the mth square area, and K L It is expressed as the selling cost of the tree at the Lth year size, S j It represents the total area of ​​all grid areas, and F1 is the labor and transportation cost per acre for resource processing.

[0104] The total area of ​​the grid areas is calculated after calculating the actual area of ​​each grid area.

[0105] In the embodiment of the present invention, the specific operations of the result verification module are:

[0106] By extracting historical data from the database, sales data for the same area as the current trees are compared, and extracting the required accounting area with the same historical area situation for value accounting, and then comparing the sales results with the calculated value;

[0107] If the calculated value is determined to be within the floating range of the sales result, the calculated value result is accurate; otherwise, the calculated value needs to be compensated and recalculated.

[0108] The floating range of sales results is determined based on price changes and the number of trees, and the comparison operation is verified and compared through multiple historical data to achieve more accurate data calculation.

[0109] Among them, by extracting the sales data of the same area as the current trees in the historical data from the database for comparison, and extracting the required accounting area with the same historical area situation for value accounting, and then comparing the sales results with the calculated value, the value results can be calculated, and the abnormal situations can be marked and compensated for and optimized, thereby improving the fault tolerance of the accounting operation and achieving the accuracy and stability of the system operation.

[0110] The difference between the second embodiment and the first embodiment is that the present invention further discloses a method for calculating the value of natural resources, which specifically includes the following steps:

[0111] D1. Complete data collection of the required accounting area through various devices, and collect information on market resources and processing services through research;

[0112] D2. Process the data to retain the required parameter data on tree resources, and complete the value calculation results for the required calculation area based on the parameter data. After the calculation is completed, select the sales data of the same resource type in the historical data for analog comparison to achieve result verification and optimization operations;

[0113] D3. Real-time updates of value accounting results are achieved as market data and resource conditions change, while all processing data in the operation is stored in the database.

[0114] Example 3: The difference compared with Example 1 and Example 2 is that: the present invention also discloses a storage medium, which stores a computer program for a computer, and when the computer program is run by a processor, it executes the steps of the natural resource value accounting method.

[0115] The fourth embodiment differs from the first, second, and third embodiments in that the existing natural resource value accounting system and the natural resource value accounting system of the present invention are used to perform simultaneous accounting operations on multiple known tree resource areas, and the results of the accounting process are compared with the known data, and the accounting time and comparison status are recorded, as shown in Table 1.

[0116] Table 1 Comparison results

[0117] Average calculation time Comparison result accuracy Existing resource value accounting system 2h 82% Resource value accounting system of the present invention 38min 100%

[0118] In summary, the natural resource value accounting system of the present invention is used to implement the accounting operation of tree resources. The required accounting time is shorter, and the accuracy of the accounting results is higher, which can be better used for actual accounting operations.

[0119] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0120] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0121] While 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 these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A natural resource value accounting system, characterized by: include: The data collection module uses remote sensing technology, drone inspections, and ground monitoring stations to collect data within the required accounting area and integrate market price data and resource processing service data; The data processing module processes the collected data and determines the various parameters of tree resources; The value accounting module calculates various data of tree resources based on the processed data and obtains the value results of the use of tree resources; The result verification module uses historical data from different regions to compare and verify the current calculation results; The data update unit transmits the subsequently collected data to the data processing module to update the value accounting results; The data storage unit stores the collected, processed and updated data, and stores historical data for value accounting and subsequent result verification; The operations for processing the collected data in the data processing module are: A1. Process the image features within the required calculation area and then establish a 3D resource model based on the image features; A2. Segment the 3D resource model, then amplify the segmented feature parts, and calculate the parameters of the local tree feature parts through an estimation algorithm; A3. Then extract the parameters related to annual tree loss, actual area, estimated number of trees, and tree species for subsequent value calculation operations; The estimation algorithm in A2 operates as follows: B1. Mark the amount of trees in each grid area as M m ; B2. Distinguish the corresponding age ranges of trees in each grid area, and set the number of trees per acre in different age ranges as {N1, N2, ..., N n }, and distinguish each grid area as a slope or a plane, so as to calculate the amount of trees in the corresponding grid area; B3. The formula for calculating the number of trees in each grid area is: M m =W×N n ×(S1 / S2)×S3; M m Refers to the number of trees in the mth square area, N n It refers to the number of trees per acre in the nth year interval, S1 is the area occupied by trees in the grid area, S2 is the area of ​​the grid area, S3 is the actual area of ​​the grid area, and W is the weight of the corresponding trees added in the process of increasing year by year; W=1+w1-w2; And w1 is the rate of new tree additions, and w2 is the rate of tree mortality; The steps for the value calculation module to obtain the value of tree resource use are as follows: C1. Summarize the extracted data and calculate the labor and transportation costs per acre for resource processing (F1) and the costs of trees of different ages and sizes (K) based on market price data and resource processing service data. L ; C2. The value of tree resource use is calculated by combining the tree resource's own value, resource renewal parameters, and resource processing costs. The calculation formula is: ； G represents the value of tree resource use, M m represents the number of trees in the mth square area, and K L It is expressed as the selling cost of the tree at the Lth year size, S j represents the total area of ​​all grid areas, F1 is the labor and transportation cost per acre for resource processing; The amplification operation of the segmentation feature part in A2 is: a21. Set multiple straight lines according to the set horizontal and vertical distances, and divide the required calculation area into square areas of equal distance after the straight lines intersect; a22. Compare the ratio between the horizontal distance of the grid area and the horizontal distance of the required calculation area with the ratio between the vertical distance of the grid area and the vertical distance of the required calculation area; a23. Selecting a smaller ratio as the magnification ratio of the corresponding camera device, and then performing an adjustment operation based on the ratio to complete data collection for each grid area; The actual area calculation steps of the grid area are: b31. Using a corner point of the grid area as the origin, establish an X-axis with the origin as the starting point and along the horizontal boundary of the grid area, establish a Y-axis with the origin as the starting point and along the vertical boundary of the grid area, and establish a Z-axis with the origin as the starting point and at right angles to the X-axis and Y-axis to form a three-dimensional coordinate system; b32. Mark the coordinates of the other corner points of the grid area. The coordinates of the two corner points adjacent to the origin are (0, y1, z1) and (x1, 0, z2), while the coordinates of the corner point not adjacent to the origin are (x1, y1, z1). b33. Calculate the areas of S2 and S3 based on the coordinates. The calculation formula is: S2=x1×y1; The value of x1 is the horizontal boundary distance of the grid area, and the value of y1 is the vertical boundary distance of the grid area; ； is the actual vertical boundary distance of the grid area.

2. A natural resource value accounting system according to claim 1, characterized in that: The operation of establishing a 3D resource model based on image features in A1 is as follows: a11. Extracting a tree feature image from a bird's-eye view of the desired calculation area, and extracting a terrain contour map within the corresponding area; a12. A tree-free 3D model of the calculated area is formed based on the topographic contour map, and tree feature images are attached to the tree-free 3D model to form a 3D resource model.

3. A natural resource value accounting system according to claim 1, characterized in that: The specific operations of the result verification module are: By extracting historical data from the database, sales data for the same area as the current trees are compared, and extracting the required accounting area with the same historical area situation for value accounting, and then comparing the sales results with the calculated value; If the calculated value is determined to be within the floating range of the sales result, the calculated value result is accurate; otherwise, the calculated value needs to be compensated and recalculated.

4. A method for calculating the value of natural resources, using the natural resource value calculation system according to any one of claims 1 to 3, characterized in that: The specific steps include: D1. Complete data collection of the required accounting area through various devices, and collect information on market resources and processing services through research; D2. Process the data to retain the required parameter data on tree resources, and complete the value calculation results for the required calculation area based on the parameter data. After the calculation is completed, select the sales data of the same resource type in the historical data for analog comparison to achieve result verification and optimization operations; D3. Real-time updates of value accounting results are achieved as market data and resource conditions change, while all processing data in the operation is stored in the database.

5. A storage medium, characterized in that: The storage medium stores a computer program for a computer, and when the computer program is run by a processor, the steps of the natural resource value accounting method as claimed in claim 4 are executed.

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