CN116341961A - Ocean resource homogeneous region division method and device and electronic equipment - Google Patents

Ocean resource homogeneous region division method and device and electronic equipment Download PDF

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CN116341961A
CN116341961A CN202310229306.3A CN202310229306A CN116341961A CN 116341961 A CN116341961 A CN 116341961A CN 202310229306 A CN202310229306 A CN 202310229306A CN 116341961 A CN116341961 A CN 116341961A
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张彤辉
罗伟成
顾腾
罗燕秋
梁浩然
李鑫
邹文财
钟小君
周治刚
陈佐
刘春杉
黄雯雯
唐浩宇
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South Digital Technology Co ltd
Guangdong Land Survey And Planning Institute
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Abstract

The invention provides a marine resource homogeneous region dividing method, a marine resource homogeneous region dividing device and electronic equipment, wherein a plurality of marine resource evaluation indexes and a marine region model are acquired; generating a plurality of triangular meshes within the marine region model in response to the mesh generating operation; determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; carrying out subdivision adjustment on triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; and determining a target evaluation result corresponding to each adjusted triangular grid for each ocean resource evaluation index to determine a target homogeneous region division result. According to the method, after the triangular grids are generated, the triangular grids meeting the preset adjustment rules are subjected to subdivision adjustment, and evaluation is performed based on the ocean resource evaluation indexes, so that the degree of coincidence between the target homogeneous region division result and the current situation can be improved, and the resource asset economic value evaluation requirement is met.

Description

Ocean resource homogeneous region division method and device and electronic equipment
Technical Field
The invention relates to the technical field of ocean data processing, in particular to a method and a device for dividing ocean resource homogenizing areas and electronic equipment.
Background
The divided mean area is an important content of the real object accounting of the marine resource asset checking, and the marine resource asset homogenizing area refers to a non-land sea area which is basically consistent in economic and social development level, natural condition, expected use, use benefit and the like and is not defined by the non-land sea area, and is divided into mutually independent checking homogenizing areas mainly according to the marine function division and the continuous area with the same first-class and second-class marine function attribute in the marine planning area. The basis of the existing homogeneous region division is ocean functional division, the planning classification is relatively extensive, the main type is single, the ocean functional division issuing time is 2012, the degree of coincidence with the current situation of development and utilization, natural conditions, ocean planning purposes and the like at the present stage is not high, and the resource asset economic value assessment requirement is difficult to meet.
Disclosure of Invention
The invention aims to provide a marine resource homogeneous region dividing method, a marine resource homogeneous region dividing device and electronic equipment, so as to improve the coincidence degree of a target homogeneous region dividing result and the current situation and meet the economic value evaluation requirement of resource assets.
The invention provides a marine resource homogeneous region dividing method, which comprises the following steps: acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided; generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; carrying out subdivision adjustment on triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; determining an evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result.
Further, a plurality of interval points are pre-configured on the boundary of the ocean area model; the step of generating a plurality of triangular meshes within the marine region model in response to the mesh generation operation for the marine region model comprises: in response to a mesh generation operation for the marine region model, a plurality of triangular meshes are generated within the marine region model at a plurality of spaced points.
Further, the step of performing subdivision adjustment on the triangular mesh satisfying a preset adjustment rule in the plurality of triangular meshes to obtain a plurality of adjusted triangular meshes includes: calculating a grid gradient value and a grid size corresponding to the current triangular grid aiming at each triangular grid; if at least one grid gradient value is not lower than a preset gradient threshold value and/or the grid size exceeds a preset size, acquiring a center point of the current triangular grid and a plurality of sub-interval points on the regional boundary of the current triangular grid; constructing a plurality of sub-triangular grids in the current triangular grid according to the center point and the plurality of sub-interval points to obtain an adjusted current triangular grid; the grid size of each sub-triangular grid in the current triangular grid after adjustment is smaller than or equal to the preset size.
Further, each ocean resource evaluation index corresponds to at least one sub-evaluation index; the step of determining a target evaluation result for each ocean resource evaluation index corresponding to each adjusted triangular mesh comprises the following steps: acquiring first resource data associated with each sub-evaluation index corresponding to each ocean resource evaluation index aiming at each ocean resource evaluation index corresponding to each adjusted triangular grid; carrying out standardization processing on the first resource data to obtain second resource data; and calculating a target evaluation result of the ocean resource evaluation index according to the preset weight coefficient and the second resource data corresponding to each sub-evaluation index.
Further, each ocean resource evaluation index corresponds to a plurality of evaluation grades; based on each target evaluation result, the step of determining a target homogeneous region division result corresponding to the ocean region to be divided comprises the following steps: for each adjusted triangular grid, determining the evaluation grade of each ocean resource evaluation index corresponding to the adjusted triangular grid according to the target evaluation result of each ocean resource evaluation index corresponding to the adjusted triangular grid; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided according to a preset clustering mode and each evaluation grade.
Further, according to a preset clustering mode and each evaluation level, the step of determining the target homogeneous region classification result corresponding to the ocean region to be classified comprises the following steps: clustering each adjusted triangular grid according to a preset clustering mode and each evaluation grade to obtain an initial homogeneous region dividing result corresponding to the ocean region to be divided; acquiring a preset strong limit evaluation index; according to the strong limit evaluation index, adjusting the initial homogeneous region dividing result to obtain a target homogeneous region dividing result corresponding to the ocean region to be divided; wherein, the priority of the strong limit evaluation index is higher than that of each ocean resource evaluation index.
Further, the plurality of marine resource evaluation indexes include: marine organism resource index and marine resource index for construction.
The invention provides a marine resource homogenizing region dividing device, which comprises: the acquisition module is used for acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided; a generation module for generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; the first determining module is used for determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; the adjusting module is used for conducting subdivision adjustment on the triangular grids meeting the preset adjusting rule in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; the second determining module is used for determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index; and the third determining module is used for determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result.
The invention provides an electronic device, which comprises a processor and a memory, wherein the memory stores machine executable instructions which can be executed by the processor, and the processor executes the machine executable instructions to realize the marine resource homogeneous region dividing method of any one of the above.
The invention provides a machine-readable storage medium storing machine-executable instructions that, when invoked and executed by a processor, cause the processor to implement the marine resource homogeneous region partitioning method of any one of the above.
According to the ocean resource homogeneous region dividing method, the ocean resource homogeneous region dividing device and the electronic equipment, a plurality of preset ocean resource evaluation indexes and ocean region models corresponding to ocean regions to be divided are obtained; generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; carrying out subdivision adjustment on triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result. According to the method, after the triangular grids are generated, the triangular grids meeting the preset adjustment rules are subjected to subdivision adjustment, and evaluation is performed based on the ocean resource evaluation indexes, so that the degree of coincidence between the target homogeneous region division result and the current situation can be improved, and the resource asset economic value evaluation requirement is met.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for partitioning a homogeneous region of marine resources according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a triangular mesh according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another triangular mesh according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another triangular mesh according to an embodiment of the present invention;
FIG. 5 is a flowchart of a triangle mesh data fusion method according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a target homogeneous region division result according to an embodiment of the present invention;
FIG. 7 is a flowchart of another method for partitioning a homogeneous region of marine resources according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a marine resource homogenizing region dividing device according to an embodiment of the present invention;
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The basis of the existing homogeneous region division is ocean functional division, the planning classification is relatively extensive, the main type is single, the ocean functional division issuing time is 2012, the degree of coincidence with the current situation of development and utilization, natural conditions, ocean planning purposes and the like at the present stage is not high, and the resource asset economic value assessment requirement is difficult to meet. Based on the above, the embodiment of the invention provides a method and a device for dividing a homogeneous region of ocean resources and electronic equipment, and the technology can be applied to applications requiring the division of the homogeneous region of the ocean resources.
For the convenience of understanding the present embodiment, first, a method for dividing a homogeneous region of ocean resources disclosed in the present embodiment is described, as shown in fig. 1, and the method includes the following steps:
Step S102, acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided.
The ocean resource evaluation index is a general limiting index, and a homogeneous region dividing result can be primarily determined through the index, for example, the ocean resource evaluation indexes can comprise ocean biological resource indexes, marine resource indexes for construction and the like; the ocean region model can be determined according to the region boundary of the ocean region to be divided, and is usually in an irregular shape; in actual implementation, when the homogeneous region needs to be divided into ocean regions to be divided, a preset relevant ocean resource evaluation index and an ocean region model need to be acquired.
Step S104, generating a plurality of triangular grids in the ocean area model in response to the grid generating operation for the ocean area model.
After the above ocean area model is obtained, the ocean area model may be divided into a plurality of triangular grids by related software, such as SMS (Surface Water Modeling System, surface water simulation software), arcMap (a user desktop component with powerful functions of map making, space analysis, space database building, etc.), etc., where the number, size, etc. of the triangular grids may be set according to actual needs.
Step S106, determining an initial evaluation result corresponding to each triangular grid for each ocean resource evaluation index.
After obtaining a plurality of triangular grids corresponding to the ocean area model, calculating to obtain an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index according to a preset calculation mode based on each ocean resource evaluation index.
Step S108, subdividing and adjusting triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of the at least one marine resource evaluation index.
The grid gradient value can be determined according to the initial evaluation results of one or more ocean resource evaluation indexes; the number of the triangular meshes may be one or more; the gradient threshold value can be determined according to the gradient value distribution trend; in actual implementation, since the sizes of the triangular grids obtained by dividing are generally different, in order to improve the regional resolution of the triangular grids, one or more triangular grids with grid gradient values reaching or exceeding a preset gradient threshold, or triangular grids with grid sizes exceeding the preset size, or triangular grids with at least one grid gradient value and grid size reaching or exceeding corresponding thresholds are subjected to self-adaptive adjustment, for example, the triangular grids can be respectively further subdivided, and finer triangular grids and the like are constructed in the triangular grids; and finally obtaining a plurality of adjusted triangular grids corresponding to the ocean area model.
Step S110, determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index.
After obtaining a plurality of adjusted triangular grids corresponding to the ocean area model, calculating a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index according to a preset calculation mode based on each ocean resource evaluation index, wherein the target evaluation result can be a numerical value between 0 and 1, and the like.
Step S112, determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result.
After each target evaluation result is obtained through calculation, carrying out homogeneous region division on the ocean region model based on the target evaluation results, and further obtaining a target homogeneous region division result corresponding to the ocean region to be divided; for example, the ocean area to be divided belongs to a marine organism resource utilization area or a marine area for construction and the like.
According to the ocean resource homogeneous region dividing method, a plurality of preset ocean resource evaluation indexes and ocean region models corresponding to ocean regions to be divided are obtained; generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; carrying out subdivision adjustment on triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result. According to the method, after the triangular grids are generated, the triangular grids meeting the preset adjustment rules are subjected to subdivision adjustment, and evaluation is performed based on the ocean resource evaluation indexes, so that the degree of coincidence between the target homogeneous region division result and the current situation can be improved, and the resource asset economic value evaluation requirement is met.
The embodiment of the invention provides another marine resource homogeneous region dividing method, which is realized on the basis of the method of the embodiment, wherein a plurality of interval points are preconfigured on the boundary of a marine region model; each ocean resource evaluation index corresponds to at least one sub-evaluation index; each ocean resource evaluation index corresponds to a plurality of evaluation grades; specifically, the interval points can be set by the user, and the number and the density degree of the interval points can be set by the user according to actual requirements; the above sub-evaluation index may be understood as a subdivision index of the marine resource evaluation index, for example, the marine resource evaluation index is a marine organism resource index, which may include two types of seawater environment indexes and cultivation environment indexes, wherein the seawater environment indexes may include: three indexes of sea level temperature, chlorophyll concentration and water quality; the cultivation environment index may include: the sub-evaluation indexes corresponding to the marine organism resource indexes are sea level temperature, chlorophyll concentration, water quality, sea level wind speed and water depth. The number of the evaluation levels may be set according to actual requirements, for example, the plurality of evaluation levels may be: rich, richer, general, etc.
The method comprises the following steps:
step one, acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided.
In actual implementation, an index evaluation system is generally constructed first, and specifically, the sea area can be divided into 5 types of areas: marine organism resource utilization area, marine area for construction, marine ecological area, public welfare marine area, and other areas. In combination with conditions such as current development and utilization states of sea areas and natural factors, an ocean homogeneous region evaluation index system is constructed in the embodiment, as shown in table 1, wherein index types comprise: the strong restriction index and the general restriction index are described below as two types of index, respectively.
(1) Strong limiting index. The index does not participate in weight assignment and evaluation calculation and is used as a basis for final partition adjustment. The index is set according to a marine ecological protection area and is divided into marine ecological areas by a first class of sea types; the sea for transportation, special sea and sewage dumping is divided into public sea areas; the fishery sea is divided into marine organism resource utilization areas; the sea for travel and entertainment, the sea for construction engineering, the other sea, the industrial sea and the sea for submarine engineering are divided into sea areas for construction.
(2) The index is generally limited. The method comprises the steps of determining preliminary homogeneous region division results (marine organism resource utilization regions, marine regions for construction and other regions) according to marine organism resource indexes and marine resource indexes for construction. The marine organism resource index reflects the enrichment degree of marine organism resources and the utilization suitability of the biological resources, factors such as the sea surface temperature, chlorophyll concentration, water quality and the like are selected according to the sea environment and the culture environment, can reflect whether the sea environment is suitable for the growth of the biological resources, and the sea surface wind speed and the water depth can reflect the suitability degree of the sea culture. The ocean resource index for construction reflects the richness of ocean renewable energy sources (such as wind energy and solar energy) and the suitability of ocean development and utilization, such as wind power density, effective wind speed, energy-rich frequency, variation coefficient and water depth can reflect the richness of wind energy sources and the suitability of development conditions, and the net surface solar radiation quantity can reflect the richness of solar energy sources and the suitability of development conditions.
TABLE 1 Marine homogeneous region division evaluation index Table
Figure BDA0004119669390000091
Figure BDA0004119669390000101
And step two, generating a plurality of triangular grids in the ocean area model according to a plurality of interval points in response to grid generation operation aiming at the ocean area model.
Specifically, after confirming the ocean area model, the user may set a plurality of spacing points, typically a plurality of spacing points, on the boundary of the ocean area model, and then click on the grid generation related button, at which time a plurality of unstructured triangular grids may be automatically built in the ocean area model through software. For example, referring to a triangle mesh schematic diagram shown in fig. 2, after inputting a study area boundary, different numbers of interval points are set at positions marked by 1, 2, 3 and 4 in fig. 2 on the study area boundary, and a triangle mesh of the whole area is constructed by an irregular triangle mesh method, or a triangle mesh can be constructed by corresponding software, such as SMS, arcMap and the like, which is not limited herein; it can be seen that the number of triangular meshes constructed in fig. 2 from label 2 to label 4 is variable, and the area is variable from small to large, which is particularly related to the number and the degree of density of the interval point arrangement.
And thirdly, determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index.
And step four, calculating a grid gradient value and a grid size corresponding to the current triangular grid aiming at each triangular grid.
And fifthly, if at least one grid gradient value is not lower than a preset gradient threshold value and/or the grid size exceeds a preset size, acquiring a center point of the current triangular grid and a plurality of sub-interval points on the regional boundary of the current triangular grid.
The mesh size may be the side length, area, etc. of the triangular mesh; the center point can be the center of gravity, the inner center or the outer center of the current triangular mesh; after generating the multiple triangular grids, the grid gradient value and the grid size of each triangular grid may be calculated, so as to perform adaptive adjustment on the triangular grid according to a preset adjustment rule based on a calculation result, for example, if at least one grid gradient value corresponding to the current triangular grid reaches or exceeds a preset gradient threshold, and the grid size of the current triangular grid exceeds a preset size, for example, at least one side length of the current triangular grid exceeds a corresponding preset size, or the area of the current triangular grid exceeds a preset area, etc., at this time, a central point of the current triangular grid may be selected, and a plurality of sub-interval points may be set on the boundary of the current triangular grid, and a specific number may be set by a user according to actual needs, for example, the sub-interval points may only select the top point of the current triangular grid, or may be a plurality of interval points set on the boundary of the current triangular grid at the same time, etc.
Step six, constructing a plurality of sub-triangular grids in the current triangular grid according to the center point and the plurality of sub-interval points to obtain an adjusted current triangular grid; the grid size of each sub-triangular grid in the current triangular grid after adjustment is smaller than or equal to the preset size.
In the current triangular mesh, a finer triangular mesh can be built again according to the center point, the three corner points and the plurality of sub-interval points, and particularly, the plurality of sub-interval points can be arranged on the boundary of the current triangular mesh so as to build the finer sub-triangular mesh; referring to another triangular mesh schematic diagram shown in fig. 3 and another triangular mesh schematic diagram shown in fig. 4, after subdivision is completed on each triangular mesh conforming to the adjustment rule, a plurality of adjusted triangular meshes corresponding to the ocean region model are finally obtained; in the above method, only a part of the triangular grids after adjustment may meet the adjustment rule, and perform subdivision adjustment, and other triangular grids which do not meet the adjustment rule may remain, and the resolution of a partial area of the triangular grid generated initially may be improved through subdivision adjustment operation.
If the grid gradient value of each triangular grid is lower than a preset gradient threshold value, and the grid size is also lower than a preset size; or, the grid gradient value of each triangular grid reaches or exceeds the preset gradient threshold value, but the grid size is lower than the preset size, at this time, the subdivision adjustment step of the fourth step and the fifth step is omitted, and the subsequent steps are directly executed.
And step seven, acquiring first resource data associated with each sub-evaluation index corresponding to each ocean resource evaluation index aiming at each ocean resource evaluation index corresponding to each adjusted triangular grid.
And step eight, carrying out standardization processing on the first resource data to obtain second resource data.
The first resource data associated with each sub-evaluation index may be obtained from a corresponding data source, for example, the first resource data may include raster data and layer data, where the raster data may be in a format such as NC (file format generated by NCEdit software), and the layer data may be in a format such as SHP (a spatial data open format); after the first resource data is obtained, because the requirements of different data sources on the data are different, the first resource data may come from different data sources, and in order to facilitate subsequent calculation, the obtained first resource data generally needs to be standardized, for example, the range area size, the resolution, the data precision and the like of a marine area model corresponding to the marine area to be divided are subjected to consistency processing, so as to obtain second resource data.
And step nine, calculating a target evaluation result of the ocean resource evaluation index according to a preset weight coefficient and second resource data corresponding to each sub-evaluation index.
The weight coefficient can be preset according to the importance degree of each sub-evaluation index; after each second resource data is obtained, a corresponding weight can be set for the sub-evaluation index corresponding to each ocean resource evaluation index, a target evaluation result corresponding to each ocean resource evaluation index is obtained through weighting calculation, and the value of each target evaluation result can be between 0 and 1 through normalization processing.
Referring to the flowchart of a triangle mesh data fusion method shown in fig. 5, the calculated evaluation result is assigned to the corresponding triangle mesh by means of superposition data fusion, so that the superposition relationship between the second resource data and the triangle mesh can be judged first, and triangle mesh assignment is realized by performing triangle mesh data fusion.
And step ten, determining the evaluation grade of each ocean resource evaluation index corresponding to each adjusted triangular grid according to the target evaluation result of each ocean resource evaluation index corresponding to the adjusted triangular grid.
And step eleven, determining a target homogeneous region dividing result corresponding to the ocean region to be divided according to a preset clustering mode and each evaluation level.
The eleventh step can be specifically realized by the following step a and step C:
step A, clustering each adjusted triangular grid according to a preset clustering mode and each evaluation grade to obtain an initial homogeneous region dividing result corresponding to the ocean region to be divided;
step B, obtaining a preset strong limit evaluation index;
step C, adjusting the initial homogeneous region dividing result according to the strong limit evaluation index to obtain a target homogeneous region dividing result corresponding to the ocean region to be divided; wherein, the priority of the strong limit evaluation index is higher than that of each ocean resource evaluation index.
In actual implementation, the single ocean resource evaluation index is graded, then the grading results of the ocean resource evaluation indexes are overlapped according to a certain rule to generate a homogeneous region, and finally the reinforcement limiting index is overlapped to form a final target homogeneous region grading result. In particular, the clustering analysis often classifies objects with the same or similar attributes into a class, and the affinity and the sparsity degree are determined mainly through the distance between samples and the correlation coefficient, which is consistent with the definition of a homogeneous region, and the embodiment can also form the homogeneous region of the ocean resource evaluation index through clustering. There are many methods for cluster analysis, such as K-means clustering, isocata clustering, FCM clustering (fuzzy c-means, a fuzzy clustering algorithm), etc. According to the method, an improved equidistant method is selected based on the principle of cluster analysis according to the evaluation result distribution of the ocean resource evaluation indexes, the grading standard of each evaluation value in the ocean resource evaluation indexes is established based on the improved equidistant method, and certain adjustment and improvement are carried out to the distribution of the fit evaluation results, namely: the qualitative value between 0.6 and 1 is rich in resources, the qualitative value between 0.4 and 0.6 is rich in resources, and the qualitative value between 0 and 0.4 is general in resources.
In order to obtain the final homogeneous region partition, the superposition analysis is needed after the classification result of the single ocean resource evaluation index is completed. According to the division basis of the sea area 'three areas' and the importance of the current country on the construction and utilization of the sea, the embodiment sets the ocean resource evaluation index, namely the partition rule of the general restriction index, as shown in table 2, for example, if the wind energy and the solar energy of a certain area are abundant in table 2, the area is divided into the sea areas for construction no matter whether the ocean biological resources are abundant or not; the result of dividing the homogeneous region by the general restriction index is superimposed with a strong restriction index layer, and the division result is adjusted to form a final result of dividing the target homogeneous region, as shown in fig. 6.
Table 2 general constraint index partitioning rules
Figure BDA0004119669390000141
For easy understanding, referring to the flowchart of another marine resource homogeneous region dividing method shown in fig. 7, it may be mainly divided into five steps: the general technical route is shown in figure 7. Firstly, constructing an ocean homogeneous region evaluation index system, selecting related evaluation factors, classifying the related evaluation factors into two types of strong limitation and general limitation, and calculating an evaluation result according to the general limitation index. Secondly, constructing unstructured triangular grids through researching regional basic topography, and fusing the triangular grids with an evaluation result in a third step to form an evaluation result based on the unstructured triangular grids. Fourth, a gradient threshold value and a rule are set by using a gradient criterion to adjust the grid. And finally, dividing the preliminary homogeneous region based on the self-adaptive adjusted grids, and then adjusting the homogeneous region by superposing strong limiting indexes to form a final target homogeneous region division result.
Compared with ocean functional division, the ocean resource homogeneous region division method is more refined, has higher coincidence degree with natural conditions, development and utilization conditions, sea planning and the like, and shows that the method has certain rationality and reliability.
The embodiment of the invention provides a marine resource homogenizing region dividing device, as shown in fig. 8, which comprises: the acquiring module 80 is configured to acquire a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided; a generation module 81 for generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; a first determining module 82, configured to determine an initial evaluation result corresponding to each triangular mesh for each marine resource evaluation index; the adjusting module 83 is configured to perform subdivision adjustment on a triangular mesh that meets a preset adjustment rule in the plurality of triangular meshes, so as to obtain a plurality of adjusted triangular meshes; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; a second determining module 84, configured to determine a target evaluation result corresponding to each adjusted triangular mesh for each ocean resource evaluation index; and a third determining module 85, configured to determine a target homogeneous region division result corresponding to the ocean region to be divided based on each target evaluation result.
The ocean resource homogeneous region dividing device is used for acquiring a plurality of preset ocean resource evaluation indexes and ocean region models corresponding to ocean regions to be divided; generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model; determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index; carrying out subdivision adjustment on triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index; determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result. After a plurality of triangular grids are generated, the triangular grids meeting the preset adjustment rules are subjected to subdivision adjustment, and evaluation is performed based on a plurality of ocean resource evaluation indexes, so that the degree of coincidence between the dividing result of the target homogeneous region and the current situation can be improved, and the economic value evaluation requirement of the resource asset is further met.
Further, a plurality of interval points are pre-configured on the boundary of the ocean area model; the generating module 81 is further configured to: in response to a mesh generation operation for the marine region model, a plurality of triangular meshes are generated within the marine region model at a plurality of spaced points.
Further, the adjusting module 83 is further configured to: calculating a grid gradient value and a grid size corresponding to the current triangular grid aiming at each triangular grid; if at least one grid gradient value is not lower than a preset gradient threshold value and/or the grid size exceeds a preset size, acquiring a center point of the current triangular grid and a plurality of sub-interval points on the regional boundary of the current triangular grid; constructing a plurality of sub-triangular grids in the current triangular grid according to the center point and the plurality of sub-interval points to obtain an adjusted current triangular grid; the grid size of each sub-triangular grid in the current triangular grid after adjustment is smaller than or equal to the preset size.
Further, each ocean resource evaluation index corresponds to at least one sub-evaluation index; the second determination module 84 is further configured to: acquiring first resource data associated with each sub-evaluation index corresponding to each ocean resource evaluation index aiming at each ocean resource evaluation index corresponding to each adjusted triangular grid; carrying out standardization processing on the first resource data to obtain second resource data; and calculating a target evaluation result of the ocean resource evaluation index according to the preset weight coefficient and the second resource data corresponding to each sub-evaluation index.
Further, each ocean resource evaluation index corresponds to a plurality of evaluation grades; the third determination module 85 is further configured to: for each adjusted triangular grid, determining the evaluation grade of each ocean resource evaluation index corresponding to the adjusted triangular grid according to the target evaluation result of each ocean resource evaluation index corresponding to the adjusted triangular grid; and determining a target homogeneous region dividing result corresponding to the ocean region to be divided according to a preset clustering mode and each evaluation grade.
Further, the third determining module 85 is further configured to: clustering each adjusted triangular grid according to a preset clustering mode and each evaluation grade to obtain an initial homogeneous region dividing result corresponding to the ocean region to be divided; acquiring a preset strong limit evaluation index; according to the strong limit evaluation index, adjusting the initial homogeneous region dividing result to obtain a target homogeneous region dividing result corresponding to the ocean region to be divided; wherein, the priority of the strong limit evaluation index is higher than that of each ocean resource evaluation index.
Further, the plurality of marine resource evaluation indexes include: marine organism resource index and marine resource index for construction.
The implementation principle and the generated technical effects of the marine resource homogenizing region dividing device provided by the embodiment of the invention are the same as those of the marine resource homogenizing region dividing method embodiment, and for the sake of brief description, reference can be made to corresponding contents in the marine resource homogenizing region dividing method embodiment where the marine resource homogenizing region dividing device embodiment is not mentioned.
The embodiment of the present invention further provides an electronic device, referring to fig. 9, where the electronic device includes a processor 130 and a memory 131, where the memory 131 stores machine executable instructions that can be executed by the processor 130, and the processor 130 executes the machine executable instructions to implement the above marine resource homogeneity region division method.
Further, the electronic device shown in fig. 9 further includes a bus 132 and a communication interface 133, and the processor 130, the communication interface 133, and the memory 131 are connected through the bus 132.
The memory 131 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 133 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc. Bus 132 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in fig. 9, but not only one bus or one type of bus.
The processor 130 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in processor 130. The processor 130 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 131, and the processor 130 reads the information in the memory 131, and in combination with its hardware, performs the steps of the method of the foregoing embodiment.
The embodiment of the invention also provides a machine-readable storage medium, which stores machine-executable instructions that, when being called and executed by a processor, cause the processor to implement the above-mentioned marine resource homogeneous region division method, and specific implementation can be seen in the method embodiment and will not be repeated here.
The method, the device and the computer program product of the electronic device for dividing the marine resource homogeneous region provided by the embodiment of the invention comprise a computer readable storage medium storing a program code, and the instructions included in the program code can be used for executing the method described in the method embodiment, and specific implementation can be referred to the method embodiment and will not be repeated here.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (10)

1. A method for partitioning a homogeneous region of a marine resource, the method comprising:
acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided;
generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model;
determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index;
performing subdivision adjustment on the triangular grids meeting the preset adjustment rule in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index;
Determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index;
and determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result.
2. The method of claim 1, wherein the ocean region model has a plurality of spaced points pre-configured on its boundaries; the step of generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model comprises:
in response to a mesh generation operation for the marine region model, a plurality of triangular meshes are generated within the marine region model at a plurality of the spaced points.
3. The method of claim 1, wherein the step of performing subdivision adjustment on a triangular mesh satisfying a preset adjustment rule among the plurality of triangular meshes to obtain a plurality of adjusted triangular meshes comprises:
calculating a grid gradient value and a grid size corresponding to the current triangular grid aiming at each triangular grid;
if at least one grid gradient value is not lower than a preset gradient threshold value and/or the grid size exceeds a preset size, acquiring a center point of the current triangular grid and a plurality of sub-interval points on the regional boundary of the current triangular grid;
Constructing a plurality of sub-triangular grids in the current triangular grid according to the central point and the plurality of sub-interval points to obtain an adjusted current triangular grid; the grid size of each sub-triangular grid in the current triangular grid after adjustment is smaller than or equal to the preset size.
4. The method of claim 1, wherein each marine resource evaluation index corresponds to at least one sub-evaluation index;
the step of determining a target evaluation result for each ocean resource evaluation index corresponding to each adjusted triangular mesh comprises the following steps:
acquiring first resource data associated with each sub-evaluation index corresponding to each ocean resource evaluation index aiming at each ocean resource evaluation index corresponding to each adjusted triangular grid;
carrying out standardization processing on the first resource data to obtain second resource data;
and calculating a target evaluation result of the ocean resource evaluation index according to the preset weight coefficient and the second resource data corresponding to each sub-evaluation index.
5. The method of claim 1, wherein each marine resource rating scale corresponds to a plurality of rating levels;
based on each target evaluation result, the step of determining a target homogeneous region division result corresponding to the ocean region to be divided comprises the following steps:
For each adjusted triangular grid, determining the evaluation grade of each ocean resource evaluation index corresponding to the adjusted triangular grid according to the target evaluation result of each ocean resource evaluation index corresponding to the adjusted triangular grid;
and determining a target homogeneous region dividing result corresponding to the ocean region to be divided according to a preset clustering mode and each evaluation grade.
6. The method according to claim 5, wherein the step of determining the target homogeneous region division result corresponding to the ocean region to be divided according to the preset clustering manner and each evaluation level comprises:
clustering each adjusted triangular grid according to a preset clustering mode and each evaluation grade to obtain an initial homogeneous region dividing result corresponding to the ocean region to be divided;
acquiring a preset strong limit evaluation index;
according to the strong limit evaluation index, adjusting the initial homogeneous region division result to obtain a target homogeneous region division result corresponding to the ocean region to be divided; wherein the priority of the strong limit evaluation index is higher than that of each ocean resource evaluation index.
7. The method of claim 1, wherein the plurality of marine resource assessment indicators comprises: marine organism resource index and marine resource index for construction.
8. A marine resource homogeneous region partitioning apparatus, the apparatus comprising:
the acquisition module is used for acquiring a plurality of preset ocean resource evaluation indexes and ocean area models corresponding to ocean areas to be divided;
a generation module for generating a plurality of triangular meshes within the marine region model in response to a mesh generation operation for the marine region model;
the first determining module is used for determining an initial evaluation result corresponding to each triangular grid and aiming at each ocean resource evaluation index;
the adjusting module is used for conducting subdivision adjustment on the triangular grids meeting preset adjustment rules in the plurality of triangular grids to obtain a plurality of adjusted triangular grids; wherein the adjustment rule includes: at least one grid gradient value of the triangular grid is not lower than a preset gradient threshold value, and/or the grid size of the triangular grid exceeds a preset size; the grid gradient value is determined based on an initial evaluation result of at least one marine resource evaluation index;
the second determining module is used for determining a target evaluation result corresponding to each adjusted triangular grid and aiming at each ocean resource evaluation index;
And the third determining module is used for determining a target homogeneous region dividing result corresponding to the ocean region to be divided based on each target evaluation result.
9. An electronic device comprising a processor and a memory, the memory storing machine-executable instructions executable by the processor, the processor executing the machine-executable instructions to implement the marine resource homogeneous region partitioning method of any one of claims 1-7.
10. A machine-readable storage medium storing machine-executable instructions which, when invoked and executed by a processor, cause the processor to implement the marine resource homogeneous region partitioning method of any one of claims 1-7.
CN202310229306.3A 2023-03-09 2023-03-09 Ocean resource homogeneous region division method and device and electronic equipment Pending CN116341961A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117437254A (en) * 2023-12-21 2024-01-23 北京英视睿达科技股份有限公司 Grid division method, device, equipment and medium based on environment space-time data
CN117635177A (en) * 2024-01-25 2024-03-01 武汉永业赛博能规划勘测有限公司 Natural resource asset checking method and system
CN117787662A (en) * 2024-02-23 2024-03-29 中国人民解放军海军工程大学 Space demand balance partitioning method, electronic equipment and storage medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117437254A (en) * 2023-12-21 2024-01-23 北京英视睿达科技股份有限公司 Grid division method, device, equipment and medium based on environment space-time data
CN117437254B (en) * 2023-12-21 2024-05-03 北京英视睿达科技股份有限公司 Grid division method, device, equipment and medium based on environment space-time data
CN117635177A (en) * 2024-01-25 2024-03-01 武汉永业赛博能规划勘测有限公司 Natural resource asset checking method and system
CN117635177B (en) * 2024-01-25 2024-04-16 武汉永业赛博能规划勘测有限公司 Natural resource asset checking method and system
CN117787662A (en) * 2024-02-23 2024-03-29 中国人民解放军海军工程大学 Space demand balance partitioning method, electronic equipment and storage medium

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