Method for determining afforestation density of artificial forest

Abstract

The invention discloses a method for determining the afforestation density of a man-made forest, relates to the field of man-made forests, and solves the problem that the growth and survival rate of trees are affected due to intense resource competition caused by current man-made forestation. The information reading module obtains tree planting information of artificial forest trees in the artificial forest area; the specification measurement and calculation module obtains tree growth data of the artificial forest trees in the artificial forest area, and the growth analysis module analyzes the growth conditions of the artificial forest trees in the artificial forest area; the demand judgment module judges the planting planning demand of the artificial forest area and judges the planting planning level of the artificial forest area; after the to-be-replanned forest region is marked, the forest region monitoring module obtains planting planning data of the artificial forest region; the planning analysis module comprehensively analyzes the tree planting condition of the artificial forest area and analyzes the generated afforestation density normal signal or afforestation density abnormal signal, and reasonable analysis of the artificial forest afforestation density is achieved based on multi-source data.

Description

Technical Field

[0001] The invention belongs to the field of artificial forests, relates to a technology for determining the afforestation density of artificial forests, and specifically is a method for determining the afforestation density of artificial forests. Background Art

[0002] The afforestation density of artificial forests refers to the density of trees planted per unit area during the artificial afforestation process, which directly affects forest growth, ecosystem functions and resource utilization efficiency. The selection of artificial forest afforestation density needs to comprehensively consider ecological, economic and social benefits to achieve sustainable utilization of forest resources and healthy development of the ecosystem. Scientific and reasonable afforestation density design can help improve the growth efficiency of artificial forests, optimize resource utilization, and promote the improvement of the ecological environment and the stability of the ecosystem.

[0003] Under the current technical background, the planting plan of artificial forests needs to comprehensively consider the influence of multiple factors such as ecological, economic and social factors. A higher afforestation density helps to accelerate forest growth, increase forest carbon storage, and improve the stability of forest ecosystems. However, high-density afforestation may lead to fierce competition for resources, affect the growth and survival rate of trees, and increase the probability of disease and pests. Therefore, how to achieve a reasonable analysis of artificial forest afforestation density based on multivariate data is the current problem;

[0004] Therefore, we propose a method to determine the afforestation density of artificial forests. Summary of the invention

[0005] The purpose of the present invention is to propose a method for determining the afforestation density of artificial forests to solve the problem of reasonably selecting the afforestation density of artificial forests proposed in the above background technology.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for determining the afforestation density of an artificial forest, the method is specifically as follows:

[0008] Step S10, the forest area division module divides the planting area of ​​the artificial forest to obtain the artificial forest area, the information reading module obtains the tree planting information of the artificial forest trees in the artificial forest area, and the tree planting information is sent to the growth analysis module via the server;

[0009] Step S20, the specification calculation module obtains the tree growth data of the artificial forest trees in the artificial forest area and sends it to the growth analysis module, the growth analysis module analyzes the growth status of the artificial forest trees in the artificial forest area, and the growth status of the artificial forest trees obtained by the analysis is sent to the demand determination module via the server;

[0010] Step S30, the demand identification module determines the planting planning demand of the artificial forest area, determines the planting planning level of the artificial forest area, and sends the planting planning level of the artificial forest area to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as a forest area to be re-planned or does not perform additional operations;

[0011] Step S40, after the re-planned forest area is marked, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server;

[0012] Step S50, the planning and analysis module conducts a comprehensive analysis on the tree planting situation in the artificial forest area, and the normal afforestation density signal or abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations based on the normal afforestation density signal or the abnormal afforestation density signal.

[0013] Furthermore, the tree planting information includes the forest area to which the plantation trees belong, the tree type, and the planting time;

[0014] Tree growth data included tree height, trunk diameter, and number of trunk forks for plantation trees.

[0015] Furthermore, the analysis process of the growth analysis module in step S20 is specifically as follows:

[0016] Obtain the tree height GDi, trunk diameter ZJi and trunk bifurcation number FCi of the artificial forest trees in the artificial forest area, where i is the number of the artificial forest tree and i is a non-zero natural number;

[0017] According to the number of the artificial forest tree, the tree type and planting time of the corresponding artificial forest tree are obtained;

[0018] Firstly, the corresponding tree growth parameters are obtained according to the tree type, and the tree growth parameters include the height growth curve, diameter growth curve and bifurcation growth curve of the artificial forest tree;

[0019] Then, the planting time of the artificial forest tree is substituted into the height growth curve, the diameter growth curve and the bifurcation growth curve respectively, and the ordinates of the corresponding coordinates are marked as the reference tree height CGD, the reference trunk diameter CZJ and the reference trunk bifurcation number CFC of the artificial forest tree, wherein the reference tree height is substituted into the height growth curve for the planting time to obtain the ordinate value of the coordinate, the reference trunk diameter is substituted into the diameter growth curve for the planting time to obtain the ordinate value of the coordinate, and the reference trunk bifurcation number is substituted into the bifurcation growth curve for the planting time to obtain the ordinate value of the coordinate;

[0020] The growth deviation coefficient of plantation trees was calculated according to the formula;

[0021] The growth deviation coefficient of plantation trees was compared with the growth deviation interval;

[0022] If the growth deviation coefficient belongs to the first growth deviation interval, the growth state of the artificial forest tree is judged to be normal;

[0023] If the growth deviation coefficient belongs to the second growth deviation interval, the growth state of the artificial forest tree is judged to be abnormal growth;

[0024] Among them, the values ​​of the growth deviation interval are all greater than zero, and the values ​​of the first growth deviation interval are all smaller than the values ​​of the second growth deviation interval.

[0025] Furthermore, the formula of the growth deviation coefficient PCi is as follows:

[0026] PCi=|GDi-CGD|×s1+|ZJi-CZJ|×s2+|FCi-CFC|×s3;

[0027] Among them, s1, s2 and s3 are weight coefficients with fixed values, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the height deviation weight, s2 is the diameter deviation weight, and s3 is the bifurcation deviation weight.

[0028] Furthermore, the determination process of the demand determination module in step S30 is specifically as follows:

[0029] According to the forest area of ​​artificial forest trees, the total number of trees in the artificial forest area TS is counted;

[0030] The growth status of artificial forest trees in the artificial forest area is obtained, and the number of artificial forest trees with abnormal growth status is counted as the abnormal sample number YC. Similarly, the number of artificial forest trees with normal growth status is counted as the normal sample number. The abnormal sample ratio YB of the artificial forest area is calculated according to the formula. The specific formula is as follows:

[0031] YB = YC / TS;

[0032] Among them, the total number of trees in the forest = the number of abnormal samples + the number of normal samples;

[0033] The abnormal sample ratio of the artificial forest area is compared with the abnormal sample threshold to determine whether the planting planning level of the artificial forest area is the third planting planning level, the second planting planning level or the first planting planning level.

[0034] Furthermore, the planning rationality of the first planting planning level is lower than the planning rationality of the second planting planning level, and the planning rationality of the second planting planning level is lower than the planning rationality of the third planting planning level.

[0035] Furthermore, the corresponding relationship between the monitoring scheme and the planting planning level is as follows:

[0036] If the planting planning level of the artificial forest area is the first planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned, and staff will be immediately arranged to conduct a comprehensive investigation and rectification of the planting matters in the artificial forest area;

[0037] If the planting planning level of the artificial forest area is the second planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned;

[0038] If the planting planning level of the artificial forest area is the third planting planning level, no additional operations will be performed.

[0039] Furthermore, the planting planning data includes the forest area of ​​the artificial forest area and the planting coordinates of each artificial forest tree.

[0040] Furthermore, the analysis process of the planning analysis module in step S50 is specifically as follows:

[0041] Obtain the forest area LS and the total number of trees TS in the artificial forest area, and calculate the average tree planting area ZM in the artificial forest area according to the formula. The specific formula is as follows:

[0042] ZM=LS / TS;

[0043] The average planting area per tree in the plantation area was compared with the planting area threshold;

[0044] If the average planting area per tree is less than the planting area threshold, an abnormal signal of afforestation density is generated;

[0045] If the average planting area per tree is greater than or equal to the planting area threshold, the planting coordinates ZZi(Xi, Yi) and the root distribution radius BJi of each artificial forest tree in the artificial forest area are obtained, wherein the root distribution radius of the corresponding tree type is obtained from the database according to the tree type comparison of the artificial forest tree;

[0046] The actual planting distance JJii' between artificial forest trees is calculated according to the formula, which is as follows:

[0047] The planting coordinates of the plantation trees corresponding to the adjacent plantation trees;

[0048] The necessary planting distance between artificial forest trees is calculated by adding up the root distribution radii of the artificial forest trees in pairs;

[0049] If the actual planting spacing is less than the necessary planting spacing, the adjacent artificial forest trees are marked as nutrient competition trees for the artificial forest trees, and the number of competition trees for the artificial forest trees ZDi is calculated;

[0050] If the actual planting spacing is greater than or equal to the necessary planting spacing, the plantation tree is marked as a non-nutrient competing forest tree for the plantation tree;

[0051] Traverse and compare the actual planting spacing between artificial forest trees and adjacent artificial forest trees, and take the minimum value of the actual planting spacing as the critical planting spacing JJi of the current artificial forest trees;

[0052] The afforestation density value MD of the artificial forest area is calculated according to the formula. The specific formula is as follows:

[0053]

[0054] Among them, a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero. a1 is the planting area weight, a2 is the tree spacing weight, and a3 is the nutrient competition weight. It can be understood that the smaller the average planting area of ​​artificial forest trees, the shorter the planting spacing between artificial forest trees, the more other forest trees there are within the root distribution radius of artificial forest trees, and the greater the afforestation density of the artificial forest area;

[0055] Compare the afforestation density value of the artificial forest area with the afforestation density threshold;

[0056] If the afforestation density value is less than or equal to the afforestation density threshold, a normal afforestation density signal is generated;

[0057] If the afforestation density value is greater than the afforestation density threshold, an afforestation density abnormal signal is generated.

[0058] Furthermore, if the execution terminal receives a signal indicating that the afforestation density is normal, no additional operation is performed;

[0059] If the execution terminal receives an abnormal afforestation density signal, the artificial forest trees in the artificial forest area are transplanted.

[0060] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0061] The present invention first divides the planting area of ​​the artificial forest to obtain the artificial forest area, analyzes the growth status of the artificial forest trees in the artificial forest area according to the tree planting information and tree growth data of the artificial forest trees in the artificial forest area, determines the planting planning needs of the artificial forest area in combination with the growth status, determines the planting planning level of the artificial forest area, executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, marks the corresponding artificial forest area as the forest area to be re-planned or does not perform additional operations, if the forest area to be re-planned is marked, after the marking is completed, comprehensively analyzes the tree planting situation in the artificial forest area in combination with the planting planning data, and generates a normal afforestation density signal or an abnormal afforestation density signal through the analysis. The present invention realizes a reasonable analysis of the afforestation density of artificial forests based on multi-source data. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0063] Figure 1 is a flow chart of the method of the present invention;

[0064] Figure 2 is the overall system block diagram of the present invention;

[0065] Figure 3 It is a schematic diagram of the principle of the specification calculation module in the present invention;

[0066] Figure 4 This is an application scenario diagram of the forest area monitoring module in the present invention. DETAILED DESCRIPTION

[0067] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0068] Example 1: Please refer to Figure 1-Figure 4 As shown, the technical solution provided by the present invention is: a method for determining the afforestation density of an artificial forest, the method is specifically as follows:

[0069] Step S10, the forest area division module divides the planting area of ​​the artificial forest to obtain the artificial forest area, the information reading module obtains the tree planting information of the artificial forest trees in the artificial forest area, and the tree planting information is sent to the growth analysis module via the server;

[0070] Step S20, the specification calculation module obtains the tree growth data of the artificial forest trees in the artificial forest area and sends it to the growth analysis module, the growth analysis module analyzes the growth status of the artificial forest trees in the artificial forest area, and the growth status of the artificial forest trees obtained by the analysis is sent to the demand determination module via the server;

[0071] Step S30, the demand identification module determines the planting planning demand of the artificial forest area, determines the planting planning level of the artificial forest area, and sends the planting planning level of the artificial forest area to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as a forest area to be re-planned or does not perform additional operations;

[0072] Step S40, after the re-planned forest area is marked, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server;

[0073] Step S50: the planning and analysis module conducts a comprehensive analysis on the tree planting conditions in the artificial forest area, and the normal afforestation density signal or abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations according to the normal afforestation density signal or the abnormal afforestation density signal;

[0074] In this embodiment, the method involves a server, which is connected to a forest area division module, an information reading module, a specification measurement module, a growth analysis module, a demand determination module, a forest area monitoring module, a planning analysis module, a supervision terminal and an execution terminal;

[0075] The forest area division module is used to divide the planting area of ​​the artificial forest, and the obtained artificial forest area is sent to the server, and the server sends the artificial forest area to the information reading module. In the actual working process, the artificial forest area includes forests formed by artificial measures such as timber forests, firewood forests, economic forests and protective forests. In this embodiment, the artificial forest area is divided according to the dividing line between the planting area and the non-planting area. For example, the fence of the urban green belt is used to separate the artificial forest area from other areas;

[0076] In this embodiment, a number of artificial forest trees are planted in the artificial forest area, and the information reading module is used to obtain the tree planting information of the artificial forest trees in the artificial forest area and send it to the server, and the server sends the tree planting information of the artificial forest trees to the growth analysis module, and the tree planting information includes the forest area belonging to the artificial forest tree, the tree type and the planting time, wherein the forest area belonging is the forest area number of the artificial forest area where the artificial forest tree is planted, and the planting time is the total time that the artificial forest tree grows in the land after the artificial seedling is completed;

[0077] In the actual work process, corresponding tree information signs are hung on the artificial forest trees, and the numbers of the artificial forest trees are obtained through the information signs. The tree planting information of the corresponding artificial forest trees is obtained by importing the numbers into the database;

[0078] See also Figure 3 As shown, the specification calculation module is used to obtain the tree growth data of the artificial forest trees in the artificial forest area and send it to the growth analysis module. The tree growth data includes the tree height, trunk diameter and trunk bifurcation number of the artificial forest trees, such as Figure 3 As shown in the figure, the tree height is the distance between the top of the plantation tree and the planting ground, the trunk diameter is the maximum diameter of the trunk part of the plantation tree, and the number of trunk bifurcations is the number of branches growing from the trunk part of the plantation tree. It should be specifically noted that the secondary branches growing from the non-trunk part are not included in the number of trunk bifurcations;

[0079] See also Figure 4 As shown, the growth analysis module is used to analyze the growth status of artificial forest trees in the artificial forest area, and the analysis process is as follows:

[0080] Obtain the tree height GDi, trunk diameter ZJi and trunk bifurcation number FCi of the artificial forest trees in the artificial forest area, where i is the number of the artificial forest tree and i is a non-zero natural number;

[0081] According to the number of the artificial forest tree, the tree type and planting time of the corresponding artificial forest tree are obtained;

[0082] First, the corresponding tree growth parameters are obtained according to the tree type. The tree growth parameters include the height growth curve, diameter growth curve and bifurcation growth curve of the artificial forest tree. It can be understood that the height growth curve is a function curve with the planting time as the horizontal coordinate and the tree height as the vertical coordinate, the height growth curve is a function curve with the planting time as the horizontal coordinate and the trunk diameter as the vertical coordinate, and the bifurcation growth curve is a segmented broken line with the planting time as the horizontal coordinate and the number of trunk bifurcations as the vertical coordinate;

[0083] Then, the planting time of the artificial forest tree is substituted into the height growth curve, the diameter growth curve and the bifurcation growth curve respectively, and the ordinates of the corresponding coordinates are marked as the reference tree height CGD, the reference trunk diameter CZJ and the reference trunk bifurcation number CFC of the artificial forest tree, wherein the reference tree height is substituted into the height growth curve for the planting time to obtain the ordinate value of the coordinate, the reference trunk diameter is substituted into the diameter growth curve for the planting time to obtain the ordinate value of the coordinate, and the reference trunk bifurcation number is substituted into the bifurcation growth curve for the planting time to obtain the ordinate value of the coordinate;

[0084] The growth deviation coefficient PCi of artificial forest trees is calculated according to the formula, which is as follows:

[0085] PCi=|GDi-CGD|×s1+|ZJi-CZJ|×s2+|FCi-CFC|×s3;

[0086] Among them, s1, s2 and s3 are weight coefficients with fixed values, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the height deviation weight, s2 is the diameter deviation weight, and s3 is the bifurcation deviation weight;

[0087] The growth deviation coefficient of plantation trees was compared with the growth deviation interval;

[0088] If the growth deviation coefficient belongs to the first growth deviation interval, the growth state of the artificial forest tree is judged to be normal;

[0089] If the growth deviation coefficient belongs to the second growth deviation interval, the growth state of the artificial forest tree is judged to be abnormal growth;

[0090] Among them, the values ​​of the growth deviation interval are all greater than zero, and the values ​​of the first growth deviation interval are all less than the values ​​of the second growth deviation interval;

[0091] The growth analysis module sends the growth status of the plantation trees to the server, and the server sends the growth status of the plantation trees to the demand determination module;

[0092] The demand identification module is used to determine the planting planning requirements of the artificial forest area. The specific determination process is as follows:

[0093] According to the forest area of ​​artificial forest trees, the total number of trees in the artificial forest area TS is counted;

[0094] The growth status of artificial forest trees in the artificial forest area is obtained, and the number of artificial forest trees with abnormal growth status is counted as the abnormal sample number YC. Similarly, the number of artificial forest trees with normal growth status is counted as the normal sample number. The abnormal sample ratio YB of the artificial forest area is calculated according to the formula. The specific formula is as follows:

[0095] YB = YC / TS;

[0096] Among them, the total number of trees in the forest = the number of abnormal samples + the number of normal samples;

[0097] The abnormal sample ratio of the artificial forest area was compared with the abnormal sample threshold;

[0098] If the abnormal sample ratio is less than or equal to the first abnormal sample threshold, the planting planning level of the artificial forest area is determined to be the third planting planning level;

[0099] If the abnormal sample ratio is greater than the first abnormal sample threshold and less than or equal to the second abnormal sample threshold, the planting planning level of the artificial forest area is determined to be the second planting planning level;

[0100] If the abnormal sample ratio is greater than the second abnormal sample threshold, the planting planning level of the artificial forest area is determined to be the first planting planning level;

[0101] Among them, the values ​​of the first abnormal sample threshold and the second abnormal sample threshold are both greater than zero, the first abnormal sample threshold is less than the second abnormal sample threshold, the planning rationality of the first planting planning level is lower than the planning rationality of the second planting planning level, and the planning rationality of the second planting planning level is lower than the planning rationality of the third planting planning level;

[0102] The demand identification module sends the planting planning level of the artificial forest area to the server, and the server sends the planting planning level of the artificial forest area to the supervision terminal;

[0103] The monitoring terminal implements the subsequent monitoring plan of the artificial forest area according to the planting planning level. The corresponding relationship between the monitoring plan and the planting planning level is as follows:

[0104] If the planting planning level of the artificial forest area is the first planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned, and staff will be immediately arranged to conduct a comprehensive investigation and rectification of the planting matters in the artificial forest area, such as the water content and fertilizer content of the land;

[0105] If the planting planning level of the artificial forest area is the second planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned;

[0106] If the planting planning level of the artificial forest area is the third planting planning level, no additional operation will be performed;

[0107] Once the replanned forest area is marked, please refer to Figure 4 As shown, the forest area monitoring module is used to obtain the planting planning data of the artificial forest area and send it to the server. The server sends the planting planning data of the artificial forest area to the planning analysis module. The planting planning data includes the forest area of ​​the artificial forest area and the planting coordinates of each artificial forest tree, such as Figure 4 As shown, the origin of the coordinate system corresponding to the planting coordinates is located at the geometric center of the artificial forest area;

[0108] The planning analysis module is used to conduct a comprehensive analysis of the tree planting situation in the artificial forest area. The specific analysis process is as follows:

[0109] Obtain the forest area LS and the total number of trees TS in the artificial forest area, and calculate the average tree planting area ZM in the artificial forest area according to the formula. The specific formula is as follows:

[0110] ZM=LS / TS;

[0111] The average planting area per tree in the plantation area was compared with the planting area threshold;

[0112] If the average planting area per tree is less than the planting area threshold, an abnormal signal of afforestation density is generated;

[0113] If the average planting area per tree is greater than or equal to the planting area threshold, the planting coordinates ZZi(Xi, Yi) and the root distribution radius BJi of each artificial forest tree in the artificial forest area are obtained, wherein the root distribution radius of the corresponding tree type is obtained from the database according to the tree type comparison of the artificial forest tree;

[0114] The actual planting distance JJii' between artificial forest trees is calculated according to the formula, which is as follows:

[0115] ZZi'(Xi', Yi') is the planting coordinates of the plantation tree corresponding to the adjacent plantation tree;

[0116] The necessary planting distance between artificial forest trees is calculated by adding up the root distribution radii of the artificial forest trees in pairs;

[0117] If the actual planting spacing is less than the necessary planting spacing, the adjacent artificial forest trees are marked as nutrient competition trees for the artificial forest trees, and the number of competition trees for the artificial forest trees ZDi is calculated;

[0118] If the actual planting spacing is greater than or equal to the necessary planting spacing, the plantation tree is marked as a non-nutrient competing forest tree for the plantation tree;

[0119] Traverse and compare the actual planting spacing between artificial forest trees and adjacent artificial forest trees, and take the minimum value of the actual planting spacing as the critical planting spacing JJi of the current artificial forest trees;

[0120] The afforestation density value MD of the artificial forest area is calculated according to the formula. The specific formula is as follows:

[0121]

[0122] Among them, a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero. a1 is the planting area weight, a2 is the tree spacing weight, and a3 is the nutrient competition weight. It can be understood that the smaller the average planting area of ​​artificial forest trees, the shorter the planting spacing between artificial forest trees, the more other forest trees there are within the root distribution radius of artificial forest trees, and the greater the afforestation density of the artificial forest area;

[0123] Compare the afforestation density value of the artificial forest area with the afforestation density threshold;

[0124] If the afforestation density value is less than or equal to the afforestation density threshold, a normal afforestation density signal is generated;

[0125] If the afforestation density value is greater than the afforestation density threshold, an afforestation density abnormal signal is generated;

[0126] The planning and analysis module sends a normal afforestation density signal or an abnormal afforestation density signal to the server, and the server sends a normal afforestation density signal or an abnormal afforestation density signal to the execution terminal. If the execution terminal receives a normal afforestation density signal, no additional operation is performed. If the execution terminal receives an abnormal afforestation density signal, a transplant operation is performed on the artificial forest trees in the artificial forest area.

[0127] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0128] Embodiment 2: An electronic device / computer device is illustrated, and the electronic device / computer device may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The processor may call the logic instructions in the memory to execute a method for determining the afforestation density of artificial forests, and the method includes: a forest area division module divides the planting area of ​​the artificial forest to obtain artificial forest areas, an information reading module obtains tree planting information of artificial forest trees in the artificial forest area, and the tree planting information is sent to the growth analysis module via the server; a specification measurement module obtains tree growth data of artificial forest trees in the artificial forest area and sends it to the growth analysis module, the growth analysis module analyzes the growth status of artificial forest trees in the artificial forest area, and the growth status of artificial forest trees obtained by the analysis is sent to the demand judgment module via the server; the demand judgment module determines the planting planning needs of the artificial forest area, and determines the people The planting planning level of the artificial forest area is sent to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as the forest area to be re-planned or does not perform additional operations. After the marking of the forest area to be re-planned is completed, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server. The planning analysis module conducts a comprehensive analysis of the tree planting situation in the artificial forest area, and the normal afforestation density signal or the abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations based on the normal afforestation density signal or the abnormal afforestation density signal.

[0129] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0130] Embodiment 3: The present application also provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a method for determining the afforestation density of an artificial forest provided by the above-mentioned methods, the method including: a forest area division module divides the planting area of ​​the artificial forest to obtain artificial forest areas, an information reading module obtains tree planting information of artificial forest trees in the artificial forest area, and the tree planting information is sent to a growth analysis module via a server; a specification measurement module obtains tree growth data of artificial forest trees in the artificial forest area and sends it to the growth analysis module, the growth analysis module analyzes the growth status of artificial forest trees in the artificial forest area, and the growth status of the artificial forest trees obtained by analysis is The status is sent to the demand identification module via the server; the demand identification module determines the planting planning needs of the artificial forest area, determines the planting planning level of the artificial forest area, and the planting planning level of the artificial forest area is sent to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as a forest area to be re-planned or does not perform additional operations; after the marking of the forest area to be re-planned is completed, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server; the planning analysis module conducts a comprehensive analysis of the tree planting situation in the artificial forest area, and the normal afforestation density signal or the abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations based on the normal afforestation density signal or the abnormal afforestation density signal.

[0131] Embodiment 4: The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute a method for determining the afforestation density of an artificial forest provided above, the method comprising: the method comprising: a forest area division module divides the planting area of ​​the artificial forest to obtain artificial forest areas, an information reading module obtains tree planting information of artificial forest trees in the artificial forest areas, and the tree planting information is sent to a growth analysis module via a server; a specification measurement module obtains tree growth data of artificial forest trees in the artificial forest areas and sends it to a growth analysis module, the growth analysis module analyzes the growth status of artificial forest trees in the artificial forest areas, and the growth status of artificial forest trees obtained by the analysis is sent to a demand identification module via a server; demand The identification module determines the planting planning needs of the artificial forest area and the planting planning level of the artificial forest area. The planting planning level of the artificial forest area is sent to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as a forest area to be re-planned or does not perform additional operations. After the marking of the forest area to be re-planned is completed, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server. The planning analysis module conducts a comprehensive analysis of the tree planting situation in the artificial forest area, and the normal afforestation density signal or the abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations according to the normal afforestation density signal or the abnormal afforestation density signal.

[0132] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0133] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for determining plantation density of an artificial forest, characterized in that: The specific method is as follows: Step S10, the forest area division module divides the planting area of ​​the artificial forest to obtain the artificial forest area, the information reading module obtains the tree planting information of the artificial forest trees in the artificial forest area, and the tree planting information is sent to the growth analysis module via the server; Step S20, the specification calculation module obtains the tree growth data of the artificial forest trees in the artificial forest area and sends it to the growth analysis module, the growth analysis module analyzes the growth status of the artificial forest trees in the artificial forest area, and the growth status of the artificial forest trees obtained by the analysis is sent to the demand determination module via the server; Step S30, the demand identification module determines the planting planning demand of the artificial forest area, determines the planting planning level of the artificial forest area, and sends the planting planning level of the artificial forest area to the supervision terminal via the server. The supervision terminal executes the subsequent monitoring plan of the artificial forest area according to the planting planning level, and marks the corresponding artificial forest area as a forest area to be re-planned or does not perform additional operations; Step S40, after the re-planned forest area is marked, the forest area monitoring module obtains the planting planning data of the artificial forest area, and the planting planning data is sent to the planning analysis module via the server; Step S50, the planning and analysis module conducts a comprehensive analysis on the tree planting situation in the artificial forest area, and the normal afforestation density signal or abnormal afforestation density signal generated by the analysis is sent to the execution terminal via the server, and the execution terminal performs corresponding operations based on the normal afforestation density signal or the abnormal afforestation density signal.

2. The method for determining the afforestation density of an artificial forest according to claim 1, characterized in that: Tree planting information includes forest area ownership, tree type and planting time of plantation trees; Tree growth data included tree height, trunk diameter, and number of trunk forks for plantation trees.

3. The method for determining the afforestation density of an artificial forest according to claim 1, characterized in that: The analysis process of the growth analysis module in step S20 is specifically as follows: Obtain the tree height GDi, trunk diameter ZJi and trunk bifurcation number FCi of the artificial forest trees in the artificial forest area, where i is the number of the artificial forest tree and i is a non-zero natural number; According to the number of the artificial forest tree, the tree type and planting time of the corresponding artificial forest tree are obtained; Firstly, the corresponding tree growth parameters are obtained according to the tree type, and the tree growth parameters include the height growth curve, diameter growth curve and bifurcation growth curve of the artificial forest tree; Then, the planting time of the artificial forest tree is substituted into the height growth curve, the diameter growth curve and the bifurcation growth curve respectively, and the ordinates of the corresponding coordinates are marked as the reference tree height CGD, the reference trunk diameter CZJ and the reference trunk bifurcation number CFC of the artificial forest tree, wherein the reference tree height is substituted into the height growth curve for the planting time to obtain the ordinate value of the coordinate, the reference trunk diameter is substituted into the diameter growth curve for the planting time to obtain the ordinate value of the coordinate, and the reference trunk bifurcation number is substituted into the bifurcation growth curve for the planting time to obtain the ordinate value of the coordinate; The growth deviation coefficient of plantation trees was calculated according to the formula; The growth deviation coefficient of plantation trees was compared with the growth deviation interval; If the growth deviation coefficient belongs to the first growth deviation interval, the growth state of the artificial forest tree is judged to be normal; If the growth deviation coefficient belongs to the second growth deviation interval, the growth state of the artificial forest tree is judged to be abnormal growth; Among them, the values ​​of the growth deviation interval are all greater than zero, and the values ​​of the first growth deviation interval are all smaller than the values ​​of the second growth deviation interval.

4. A method for determining plantation density of an artificial forest according to claim 3, characterized in that: The formula for the growth deviation coefficient PCi is as follows: PCi=|GDi-CGD|×s1+|ZJi-CZJ|×s2+|FCi-CFC|×s3; Among them, s1, s2 and s3 are weight coefficients with fixed values, the values ​​of s1, s2 and s3 are all greater than zero and s1+s2+s3=1, s1 is the height deviation weight, s2 is the diameter deviation weight, and s3 is the bifurcation deviation weight.

5. The method for determining the afforestation density of an artificial forest according to claim 3, characterized in that: The determination process of the demand determination module in step S30 is specifically as follows: According to the forest area of ​​artificial forest trees, the total number of trees in the artificial forest area TS is counted; The growth status of artificial forest trees in the artificial forest area is obtained, and the number of artificial forest trees with abnormal growth status is counted as the abnormal sample number YC. Similarly, the number of artificial forest trees with normal growth status is counted as the normal sample number. The abnormal sample ratio YB of the artificial forest area is calculated according to the formula. The specific formula is as follows: YB = YC / TS; Among them, the total number of trees in the forest = the number of abnormal samples + the number of normal samples; The abnormal sample ratio of the artificial forest area is compared with the abnormal sample threshold to determine whether the planting planning level of the artificial forest area is the third planting planning level, the second planting planning level or the first planting planning level.

6. A method for determining plantation density of an artificial forest according to claim 5, characterized in that: The planning rationality of the first planting planning level is lower than that of the second planting planning level, and the planning rationality of the second planting planning level is lower than that of the third planting planning level.

7. A method for determining plantation density of an artificial forest according to claim 5, characterized in that: The corresponding relationship between the monitoring plan and the planting planning level is as follows: If the planting planning level of the artificial forest area is the first planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned, and staff will be immediately arranged to conduct a comprehensive investigation and rectification of the planting matters in the artificial forest area; If the planting planning level of the artificial forest area is the second planting planning level, the corresponding artificial forest area will be marked as a forest area to be re-planned; If the planting planning level of the artificial forest area is the third planting planning level, no additional operations will be performed.

8. A method for determining plantation density of an artificial forest according to claim 5, characterized in that: The planting planning data include the forest area of ​​the plantation area and the planting coordinates of each plantation tree.

9. A method for determining plantation density of an artificial forest according to claim 8, characterized in that: The analysis process of the planning analysis module in step S50 is specifically as follows: Obtain the forest area LS and the total number of trees TS in the artificial forest area, and calculate the average tree planting area ZM in the artificial forest area according to the formula. The specific formula is as follows: ZM=LS / TS; The average planting area per tree in the plantation area was compared with the planting area threshold; If the average planting area per tree is less than the planting area threshold, an abnormal afforestation density signal is generated; If the average planting area per tree is greater than or equal to the planting area threshold, the planting coordinates ZZi(Xi, Yi) and the root distribution radius BJi of each artificial forest tree in the artificial forest area are obtained, wherein the root distribution radius of the corresponding tree type is obtained from the database according to the tree type comparison of the artificial forest tree; The actual planting distance JJii' between artificial forest trees is calculated according to the formula, which is as follows: The planting coordinates of the plantation trees corresponding to the adjacent plantation trees; The necessary planting distance between artificial forest trees is calculated by adding up the root distribution radii of the artificial forest trees in pairs; If the actual planting spacing is less than the necessary planting spacing, the adjacent artificial forest trees are marked as nutrient competition trees for the artificial forest trees, and the number of competition trees for the artificial forest trees ZDi is calculated; If the actual planting spacing is greater than or equal to the necessary planting spacing, the plantation tree is marked as a non-nutrient competing forest tree for the plantation tree; Traverse and compare the actual planting spacing between artificial forest trees and adjacent artificial forest trees, and take the minimum value of the actual planting spacing as the critical planting spacing JJi of the current artificial forest trees; The afforestation density value MD of the artificial forest area is calculated according to the formula. The specific formula is as follows: Among them, a1, a2 and a3 are weight coefficients with fixed values, and the values ​​of a1, a2 and a3 are all greater than zero. a1 is the planting area weight, a2 is the tree spacing weight, and a3 is the nutrient competition weight. It can be understood that the smaller the average planting area of ​​artificial forest trees, the shorter the planting spacing between artificial forest trees, the more other forest trees there are within the root distribution radius of artificial forest trees, and the greater the afforestation density of the artificial forest area; Compare the afforestation density value of the artificial forest area with the afforestation density threshold; If the afforestation density value is less than or equal to the afforestation density threshold, a normal afforestation density signal is generated; If the afforestation density value is greater than the afforestation density threshold, an afforestation density abnormal signal is generated.

10. A method for determining plantation density of an artificial forest according to claim 9, characterized in that: If the execution terminal receives a signal that the afforestation density is normal, no additional operation is performed; If the execution terminal receives an abnormal afforestation density signal, the artificial forest trees in the artificial forest area are transplanted.

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