CN113340286A - Method and equipment for analyzing surveying and mapping information data of land planning surveying and mapping project and computer storage medium - Google Patents

Method and equipment for analyzing surveying and mapping information data of land planning surveying and mapping project and computer storage medium Download PDF

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CN113340286A
CN113340286A CN202110718204.9A CN202110718204A CN113340286A CN 113340286 A CN113340286 A CN 113340286A CN 202110718204 A CN202110718204 A CN 202110718204A CN 113340286 A CN113340286 A CN 113340286A
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CN113340286B (en
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王国炎
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Guangxi land and resources planning and Design Group Co.,Ltd.
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Wuhan Caiyuantong Network Technology Co ltd
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Abstract

The invention discloses a method, a device and a computer storage medium for analyzing surveying and mapping information data of a land planning surveying and mapping project, which analyze the terrain smoothness coefficient of each subarea in the land to be planned by detecting the height of each surveying and mapping point in each subarea in the land to be planned, extract the height of the highest surveying and mapping point and the lowest surveying and mapping point in each subarea in the land to be planned, analyze the height fall and the maximum gradient of each subarea in the land to be planned, simultaneously detect each soil quality parameter of each surveying and mapping point in each subarea in the land to be planned, compare to obtain each soil quality parameter difference value of each surveying and mapping point in each subarea in the land to be planned, survey the distance between each subarea in the land to be planned and a water source, comprehensively calculate the land utilization potential prediction coefficient of each subarea in the land to be planned, and screen the land application corresponding to each subarea in the land to be planned, therefore, the land planning and mapping data is efficiently processed and analyzed.

Description

Method and equipment for analyzing surveying and mapping information data of land planning surveying and mapping project and computer storage medium
Technical Field
The invention relates to the field of land surveying and mapping data analysis, in particular to a method and equipment for analyzing surveying and mapping information data of a land planning surveying and mapping project and a computer storage medium.
Background
The land planning is to classify the land utilization, strengthen the ecological construction of the land and strengthen the macroscopic regulation and control of the land. In the land use planning process, the land area is often mapped to facilitate reasonable planning and utilization of the land area.
At present, the existing land planning mapping data analysis method has the following problems:
1. the existing land planning and mapping mainly depends on manual on-site mapping, namely, a surveyor maps each factor in a land area in a fixed-point mapping mode, so that the problem that the land area mapping data is not comprehensive enough exists, the land mapping data has the characteristics of limitation and large error, and the accuracy and reliability of the land area mapping data are reduced;
2. the existing land planning and surveying data analysis method needs a large amount of surveying personnel to record, arrange, analyze and evaluate the land planning and surveying data, so that the problems of large workload of surveying and surveying data analysis are solved, a large amount of manpower resources and time cost are wasted, the land planning and surveying data analysis efficiency is reduced, the land planning and surveying data cannot be efficiently processed and analyzed, and the surveying and surveying data analysis level of a land planning and surveying project is influenced;
in order to solve the problems, a method, equipment and a computer storage medium for analyzing the mapping information data of the land planning survey project are designed.
Disclosure of Invention
The invention aims to provide a method, equipment and a computer storage medium for analyzing surveying and mapping information data of a land planning survey project, which divide a land area to be planned into sub-areas, respectively detect the height of each surveying and mapping point in each sub-area of the land to be planned, analyze the terrain flatness coefficient of each sub-area in the land to be planned, extract the height of the highest surveying and mapping point and the height of the lowest surveying and mapping point in each sub-area of the land to be planned, analyze the height fall and the maximum gradient of each sub-area in the land to be planned, simultaneously detect each soil quality parameter of each surveying and mapping point in each sub-area of the land to be planned, compare to obtain each soil quality parameter difference of each surveying and mapping point in each sub-area of the land to be planned, survey the distance between each sub-area of the land to be planned and the water source, and comprehensively calculate the land utilization potential prediction coefficient of each sub-area in the land to be planned, the land use corresponding to each subregion in the land to be planned is screened and displayed, and the problems in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the present invention provides a method for analyzing mapping information data of an earth planning survey project, comprising the following steps:
s1, dividing the land area to be planned: dividing land areas to be planned in a land exploration and surveying project, and numbering the land areas in sequence according to a set sequence;
s2, detecting the height of the mapping point: respectively detecting the heights of the surveying points in each sub-area in the land to be planned, counting the heights of the surveying points in each sub-area in the land to be planned, and analyzing the terrain flatness coefficient of each sub-area in the land to be planned;
s3, height drop analysis: the height difference of each subregion in the land to be planned is contrastively analyzed by extracting the height of the highest surveying point and the height of the lowest surveying point in each subregion in the land to be planned;
s4, surveying and mapping point distance measurement: measuring the distance between the highest surveying point and the lowest surveying point in each subarea of the land to be planned respectively, and calculating the maximum slope of each subarea of the land to be planned;
s5, detecting the soil quality parameter value: respectively detecting soil quality parameters at each surveying and mapping point in each sub-area of the land to be planned, and counting the soil quality parameter values at each surveying and mapping point in each sub-area of the land to be planned;
s6, analyzing the soil quality parameter numerical value; comparing the numerical value of each soil quality parameter at each surveying and mapping point in each sub-area of the land to be planned with the standard numerical value of the corresponding soil quality parameter to obtain the difference value of each soil quality parameter at each surveying and mapping point in each sub-area of the land to be planned;
s7, mapping the distance between the region and the water source: surveying and mapping the distance between each subarea in the land to be planned and a water source respectively to obtain the farthest distance between each subarea in the land to be planned and the water source;
s8, potential estimation coefficient analysis: the land utilization potential estimation coefficient of each subregion in the land to be planned is calculated by extracting the influence coefficient of the regional height drop on the land utilization potential, the influence compensation coefficient corresponding to the distance between the region and the water source and the standard distance between the land region and the water source, which are stored in the storage database, the standard land utilization potential coefficient range corresponding to each land application is extracted, the land utilization potential estimation coefficient of each subregion in the land to be planned is compared with the standard land utilization potential coefficient range corresponding to each land application, the land application corresponding to each subregion in the land to be planned is screened and displayed.
Preferably, the step S2 includes the following steps:
s21, randomly arranging a plurality of surveying points in each sub-area of the land to be planned, and sequentially numbering the positions according to the arrangement sequence to form a position number set A of each surveying point in each sub-area of the land to be plannediB(aib1,aib2,...,aibj,...,aibm)，aibjThe position number of the jth mapping point in the ith sub-area in the land to be planned is expressed;
s22, detecting the height of each surveying point in each sub-area of the land to be planned, counting the height of each surveying point in each sub-area of the land to be planned, and forming a height set H of each surveying point in each sub-area of the land to be plannediB(hib1,hib2,...,hibj,...,hibm)，hibjExpressed as the height of the jth surveying point in the ith sub-area in the land to be planned;
s23, calculating the terrain flatness coefficient of each sub-area in the land to be planned
Figure BDA0003135845800000041
ξiAnd m represents the number of mapping points distributed in the ith sub-area in the land to be planned.
Preferably, the step S3 includes the following steps:
s31, comparing the heights of the surveying points in each sub-area of the land to be planned, extracting the height of the highest surveying point in each sub-area of the land to be planned, and forming a height set HB of the highest surveying point in each sub-area of the land to be plannedmax(h1bmax,h2bmax,...,hibmax,...,hnbmax)，hibmaxRepresenting the height of the highest mapping point in the ith sub-area in the land to be planned;
s32, extracting the height of the lowest surveying point in each sub-area of the land to be planned to form a height set HB of the lowest surveying point in each sub-area of the land to be plannedmin(h1bmin,h2bmin,...,hibmin,...,hnbmin)，hibminExpressed as the height of the lowest surveying point in the ith sub-area in the land to be planned;
s33, comparing to obtain the height difference of each subarea in the land to be planned, and forming a height difference set delta H (delta H) of each subarea in the land to be planned1,Δh2,...,Δhi,...,Δhn)，ΔhiExpressed as the height drop of the ith sub-zone in the land to be planned.
Preferably, the step S4 includes counting the distance between the highest mapping point and the lowest mapping point in each sub-area of the land to be planned, and forming a distance set D (D) between the highest mapping point and the lowest mapping point in each sub-area of the land to be planned1,d2,...,di,...,dn)，diExpressed as the distance between the highest surveying point and the lowest surveying point in the ith sub-area in the land to be planned, and the maximum slope of each sub-area in the land to be planned is calculated
Figure BDA0003135845800000042
kiExpressed as the maximum slope of the ith sub-area of the ground to be planned.
Preferably, step S5 includes a structureNumerical value set of soil quality parameters at each surveying and mapping point in each sub-area of land to be planned
Figure BDA0003135845800000043
Figure BDA0003135845800000044
Expressed as the r-th soil quality parameter value at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4，r1、r2、r3、r4Respectively expressed as soil water content, soil microorganism content, soil oxygen content and soil pH value in soil quality parameters.
Preferably, the step S6 includes forming a difference set of values of soil quality parameters at each surveying point in each sub-area of the land to be planned
Figure BDA0003135845800000051
Figure BDA0003135845800000052
Expressed as the value difference of the r-th soil quality parameter at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4。
Preferably, the step S7 includes counting the farthest distance from the water source of each sub-area in the land to be planned, and forming a set L 'a (L' a) of the farthest distances from the water source of each sub-area in the land to be planned1,L′a2,...,L′ai,...,L′an)， L′aiExpressed as the farthest distance of the ith sub-area of the ground to be planned from the water source.
Preferably, the calculation formula of the land utilization potential estimation coefficient of each subarea in the land to be planned is
Figure BDA0003135845800000053
ψiExpressed as a land utilization potential estimation coefficient, lambda, of the ith sub-area in the land to be plannedrIs shown asThe influence weight coefficient corresponding to the r-th soil quality parameter, wherein r is r1,r2,r3,r4，WSign boardr is expressed as the standard value of the r-th soil quality parameter, mu is expressed as the influence coefficient of the height fall of the region on the land utilization potential, alpha is expressed as the influence compensation coefficient corresponding to the distance between the region and the water source, and L is expressed as the influence compensation coefficientSign boardExpressed as the standard distance of the land area from the water source.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor calls the computer program from the nonvolatile memory through the network interface during operation, and runs the computer program through the memory to execute the method for analyzing the mapping information data of the land planning survey project.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the method for analyzing mapping information data of an earth-planning survey project according to the present invention is implemented.
Has the advantages that:
(1) the invention provides a method, a device and a computer storage medium for analyzing surveying and mapping information data of a land planning survey project, which divide a land area to be planned into sub-areas, lay a foundation for surveying and mapping data in the sub-areas in the land to be planned in a later period, simultaneously respectively detect the height of each surveying and mapping point in each sub-area in the land to be planned, analyze the terrain smoothness coefficient of each sub-area in the land to be planned, thereby ensuring that the surveying and mapping data of the land area is more comprehensive, providing a reliable reference basis for the later period analysis of the land utilization potential prediction coefficient of each sub-area, extracting the height of the highest surveying and mapping point and the height of the lowest surveying and mapping point in each sub-area in the land to be planned, analyzing the height fall and the maximum gradient of each sub-area in the land to be planned, and providing reliable reference data for the later period to calculate the land utilization potential prediction coefficient of each sub-area, and simultaneously detecting the soil quality parameters of the surveying points in each sub-area of the land to be planned, and comparing to obtain the soil quality parameter difference values of the surveying points in each sub-area of the land to be planned, thereby avoiding the problem that the land surveying and mapping data is limited, further reducing the influence of the land planning surveying and mapping errors and improving the accuracy and reliability of the land area surveying and mapping data.
(2) According to the method, the distance between each subregion in the land to be planned and a water source is mapped, the land utilization potential estimation coefficient of each subregion in the land to be planned is comprehensively calculated, so that the problem of large workload of mapping data analysis is solved, a large amount of manpower resources and time cost are saved, the land planning mapping data analysis efficiency is improved, the land planning mapping data is efficiently processed and analyzed, meanwhile, the land application corresponding to each subregion in the land to be planned is screened and displayed, the land application of each subregion can be visually displayed, an instructive reference basis is provided for later land planning surveying project construction, and the mapping data analysis level of a land planning surveying project is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a method for analyzing mapping information data of an earth planning survey project, including the steps of:
s1, dividing the land area to be planned: the land area to be planned in the land exploration and survey project is divided into sub-areas according to a set length and a set width dividing mode, and the sub-areas in the land area to be planned are numbered in sequence according to a set sequence, wherein the number of each sub-area in the land area to be planned is 1,2, 1.
Specifically, the land area to be planned is divided into the sub-areas, so that a foundation is laid for surveying and mapping data in the sub-areas in the land to be planned in the later period.
S2, detecting the height of the mapping point: the heights of the surveying points in the sub-areas in the land to be planned are respectively detected, the heights of the surveying points in the sub-areas in the land to be planned are counted, and the terrain flatness coefficient of each sub-area in the land to be planned is analyzed.
In this embodiment, the step S2 includes the following steps:
s21, randomly arranging a plurality of surveying points in each sub-area of the land to be planned, and sequentially numbering the positions according to the arrangement sequence to form a position number set A of each surveying point in each sub-area of the land to be plannediB(aib1,aib2,...,aibj,...,aibm)，aibjThe position number of the jth mapping point in the ith sub-area in the land to be planned is expressed;
s22, detecting the height of each surveying point in each sub-area of the land to be planned, counting the height of each surveying point in each sub-area of the land to be planned, and forming a height set H of each surveying point in each sub-area of the land to be plannediB(hib1,hib2,...,hibj,...,hibm)，hibjExpressed as the height of the jth surveying point in the ith sub-area in the land to be planned;
S23、calculating the terrain flatness coefficient of each subregion in the land to be planned
Figure BDA0003135845800000081
ξiAnd m represents the number of mapping points distributed in the ith sub-area in the land to be planned.
Specifically, the height of each surveying and mapping point in each sub-area in the land to be planned is detected respectively, and the terrain flatness coefficient of each sub-area in the land to be planned is analyzed, so that the surveying and mapping data of the land area is more comprehensive, and a reliable reference basis is provided for analyzing the land utilization potential prediction coefficient of each sub-area in the later period.
S3, height drop analysis: and comparing and analyzing the height difference of each subarea in the land to be planned by extracting the height of the highest surveying point and the height of the lowest surveying point in each subarea in the land to be planned.
In this embodiment, the step S3 includes the following steps:
s31, comparing the heights of the surveying points in each sub-area of the land to be planned, extracting the height of the highest surveying point in each sub-area of the land to be planned, and forming a height set HB of the highest surveying point in each sub-area of the land to be plannedmax(h1bmax,h2bmax,...,hibmax,...,hnbmax)，hibmaxRepresenting the height of the highest mapping point in the ith sub-area in the land to be planned;
s32, extracting the height of the lowest surveying point in each sub-area of the land to be planned to form a height set HB of the lowest surveying point in each sub-area of the land to be plannedmin(h1bmin,h2bmin,...,hibmin,...,hnbmin)，hibminExpressed as the height of the lowest surveying point in the ith sub-area in the land to be planned;
s33, comparing to obtain the height difference of each subarea in the land to be planned, and forming the land to be plannedHeight difference set Δ H (Δ H) of each sub-region1,Δh2,...,Δhi,...,Δhn)，ΔhiExpressed as the height drop of the ith sub-zone in the land to be planned.
Specifically, the height difference of each sub-area in the land to be planned is analyzed by extracting the height of the highest surveying point and the height of the lowest surveying point in each sub-area in the land to be planned, and reliable reference data are provided for calculating the land utilization potential estimation coefficient of each sub-area in the later period.
S4, surveying and mapping point distance measurement: respectively measuring the distance between the highest surveying point and the lowest surveying point in each sub-area of the land to be planned, and counting the distance between the highest surveying point and the lowest surveying point in each sub-area of the land to be planned to form a distance set D (D) of the highest surveying point and the lowest surveying point in each sub-area of the land to be planned1,d2,...,di,...,dn)，diAnd expressing the distance between the highest mapping point and the lowest mapping point in the ith sub-area in the land to be planned, and calculating the maximum slope of each sub-area in the land to be planned.
In this embodiment, the maximum slope of each sub-area of the land to be planned is calculated according to the formula
Figure BDA0003135845800000091
kiExpressed as the maximum slope of the ith sub-area of the ground to be planned.
Specifically, the maximum gradient of each sub-area in the land to be planned is calculated by measuring the distance between the highest surveying point and the lowest surveying point in each sub-area in the land to be planned, and reliable reference data are provided for calculating the land utilization potential estimation coefficient of each sub-area in the later period.
S5, detecting the soil quality parameter value: and counting the numerical values of the soil quality parameters at the surveying points in each sub-area in the land to be planned by respectively detecting the soil quality parameters at the surveying points in each sub-area in the land to be planned.
In this embodiment, step S5 includes forming each sub-area of the land to be plannedNumerical value set of soil quality parameters at mapping points
Figure BDA0003135845800000101
Figure BDA0003135845800000102
Expressed as the r-th soil quality parameter value at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4， r1、r2、r3、r4Respectively expressed as soil water content, soil microorganism content, soil oxygen content and soil pH value in soil quality parameters.
S6, analyzing the soil quality parameter numerical value; and comparing the soil quality parameter values of the surveying points in each sub-area in the land to be planned with the standard values of the corresponding soil quality parameters to obtain the soil quality parameter difference values of the surveying points in each sub-area in the land to be planned.
In this embodiment, the step S6 includes forming a difference set of the soil quality parameter values at each surveying point in each sub-area of the land to be planned
Figure BDA0003135845800000103
Figure BDA0003135845800000104
Expressed as the value difference of the r-th soil quality parameter at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4。
Specifically, the method and the device have the advantages that the soil quality parameters of the surveying and mapping points in each sub-area of the land to be planned are detected, and the soil quality parameter difference values of the surveying and mapping points in each sub-area of the land to be planned are obtained through comparison, so that the problem of limitation of land surveying and mapping data is avoided, the influence of land planning surveying and mapping errors is reduced, and the accuracy and the reliability of the land area surveying and mapping data are improved.
S7, mapping the distance between the region and the water source: and respectively surveying and mapping the distance between each subarea in the land to be planned and the water source to obtain the farthest distance between each subarea in the land to be planned and the water source.
In this embodiment, the step S7 includes counting the farthest distance from the water source of each sub-area in the land to be planned, and forming a set L 'a (L' a) of the farthest distances from the water source of each sub-area in the land to be planned1,L′a2,...,L′ai,...,L′an)，L′aiExpressed as the farthest distance of the ith sub-area of the ground to be planned from the water source.
S8, potential estimation coefficient analysis: the land utilization potential estimation coefficient of each subregion in the land to be planned is calculated by extracting the influence coefficient of the regional height drop on the land utilization potential, the influence compensation coefficient corresponding to the distance between the region and the water source and the standard distance between the land region and the water source, which are stored in the storage database, the standard land utilization potential coefficient range corresponding to each land application is extracted, the land utilization potential estimation coefficient of each subregion in the land to be planned is compared with the standard land utilization potential coefficient range corresponding to each land application, the land application corresponding to each subregion in the land to be planned is screened and displayed.
In this embodiment, the calculation formula of the land utilization potential estimation coefficient of each sub-area in the land to be planned is
Figure BDA0003135845800000111
ψiExpressed as a land utilization potential estimation coefficient, lambda, of the ith sub-area in the land to be plannedrExpressed as the impact weight coefficient corresponding to the r-th soil quality parameter, wherein r is r1,r2,r3,r4，WSign boardr is expressed as the standard value of the r-th soil quality parameter, mu is expressed as the influence coefficient of the height fall of the region on the land utilization potential, alpha is expressed as the influence compensation coefficient corresponding to the distance between the region and the water source, and L is expressed as the influence compensation coefficientSign boardExpressed as the standard distance of the land area from the water source.
In this embodiment, the land uses in step S8 include planting land, forestry land, animal husbandry land and construction land, respectively.
In this embodiment, the standard land use potential coefficient ranges corresponding to the land uses in step S8 respectively include: the standard land use potential coefficient range corresponding to the construction land is [0, ψ ], the standard land use potential coefficient range corresponding to the pastoral land is [ ψ ', ψ "), the standard land use potential coefficient range corresponding to the forestry land is [ ψ", ψ ' "), and the standard land use potential coefficient range corresponding to the planting land is [ ψ '", + ∞ ], wherein ψ ' < ψ "< ψ '".
Specifically, the method and the device map the distance between each subregion in the land to be planned and a water source, comprehensively calculate the land utilization potential estimation coefficient of each subregion in the land to be planned, thereby avoiding the problem of large workload of mapping data analysis, saving a large amount of human resources and time cost, further improving the analysis efficiency of the land planning mapping data, realizing the high-efficiency processing and analysis of the land planning mapping data, screening and displaying the land use corresponding to each subregion in the land to be planned, thereby being capable of visually displaying the land use of each subregion, providing an instructive reference basis for the construction of a later land planning and surveying project, and further improving the analysis level of the mapping data of the land planning and surveying project.
In a second aspect, the present invention also provides an apparatus comprising: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor calls the computer program from the nonvolatile memory through the network interface during operation, and runs the computer program through the memory to execute the method for analyzing the mapping information data of the land planning survey project.
In a third aspect, the present invention further provides a computer storage medium, where a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the method for analyzing mapping information data of an earth-planning survey project according to the present invention is implemented.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (10)

1. A land planning survey and survey project mapping information data analysis method is characterized by comprising the following steps: the method comprises the following steps:
s1, dividing the land area to be planned: dividing land areas to be planned in a land exploration and surveying project, and numbering the land areas in sequence according to a set sequence;
s2, detecting the height of the mapping point: respectively detecting the heights of the surveying points in each sub-area in the land to be planned, counting the heights of the surveying points in each sub-area in the land to be planned, and analyzing the terrain flatness coefficient of each sub-area in the land to be planned;
s3, height drop analysis: the height difference of each subregion in the land to be planned is contrastively analyzed by extracting the height of the highest surveying point and the height of the lowest surveying point in each subregion in the land to be planned;
s4, surveying and mapping point distance measurement: measuring the distance between the highest surveying point and the lowest surveying point in each subarea of the land to be planned respectively, and calculating the maximum slope of each subarea of the land to be planned;
s5, detecting the soil quality parameter value: respectively detecting soil quality parameters at each surveying and mapping point in each sub-area of the land to be planned, and counting the soil quality parameter values at each surveying and mapping point in each sub-area of the land to be planned;
s6, analyzing the soil quality parameter numerical value; comparing the numerical value of each soil quality parameter at each surveying and mapping point in each sub-area of the land to be planned with the standard numerical value of the corresponding soil quality parameter to obtain the difference value of each soil quality parameter at each surveying and mapping point in each sub-area of the land to be planned;
s7, mapping the distance between the region and the water source: surveying and mapping the distance between each subarea in the land to be planned and a water source respectively to obtain the farthest distance between each subarea in the land to be planned and the water source;
s8, potential estimation coefficient analysis: the land utilization potential estimation coefficient of each subregion in the land to be planned is calculated by extracting the influence coefficient of the regional height drop on the land utilization potential, the influence compensation coefficient corresponding to the distance between the region and the water source and the standard distance between the land region and the water source, which are stored in the storage database, the standard land utilization potential coefficient range corresponding to each land application is extracted, the land utilization potential estimation coefficient of each subregion in the land to be planned is compared with the standard land utilization potential coefficient range corresponding to each land application, the land application corresponding to each subregion in the land to be planned is screened and displayed.
2. The method of claim 1, wherein the method comprises: the step S2 includes the following steps:
s21, randomly arranging a plurality of surveying points in each sub-area of the land to be planned, and sequentially numbering the positions according to the arrangement sequence to form a position number set A of each surveying point in each sub-area of the land to be plannediB(aib1,aib2,...,aibj,...,aibm)，aibjThe position number of the jth mapping point in the ith sub-area in the land to be planned is expressed;
s22, detecting the height of each surveying point in each sub-area of the land to be planned, counting the height of each surveying point in each sub-area of the land to be planned, and forming a height set H of each surveying point in each sub-area of the land to be plannediB(hib1,hib2,...,hibj,...,hibm)，hibjExpressed as the height of the jth surveying point in the ith sub-area in the land to be planned;
s23, calculating the terrain flatness coefficient of each sub-area in the land to be planned
Figure FDA0003135845790000021
ξiAnd m represents the number of mapping points distributed in the ith sub-area in the land to be planned.
3. The method of claim 1, wherein the method comprises: the step S3 includes the following steps:
s31, comparing the heights of the surveying points in each sub-area of the land to be planned, extracting the height of the highest surveying point in each sub-area of the land to be planned, and forming a height set HB of the highest surveying point in each sub-area of the land to be plannedmax(h1bmax,h2bmax,...,hibmax,...,hnbmax)，hibmaxRepresenting the height of the highest mapping point in the ith sub-area in the land to be planned;
s32, extracting the height of the lowest surveying point in each sub-area of the land to be planned to form a height set HB of the lowest surveying point in each sub-area of the land to be plannedmin(h1bmin,h2bmin,...,hibmin,...,hnbmin)，hibminExpressed as the height of the lowest surveying point in the ith sub-area in the land to be planned;
s33, comparing to obtain the height difference of each subarea in the land to be planned, and forming a height difference set delta H (delta H) of each subarea in the land to be planned1,Δh2,...,Δhi,...,Δhn)，ΔhiExpressed as the height drop of the ith sub-zone in the land to be planned.
4. The method of claim 1, wherein the method comprises: the step S4 includes the step of counting the highest mapping in each sub-area of the land to be plannedThe distance between the point and the lowest surveying and mapping point forms a distance set D (D) of the highest surveying and mapping point and the lowest surveying and mapping point in each sub-area of the land to be planned1,d2,...,di,...,dn)，diExpressed as the distance between the highest surveying point and the lowest surveying point in the ith sub-area in the land to be planned, and the maximum slope of each sub-area in the land to be planned is calculated
Figure FDA0003135845790000031
kiExpressed as the maximum slope of the ith sub-area of the ground to be planned.
5. The method of claim 1, wherein the method comprises: the step S5 includes the step of forming a numerical value set of soil quality parameters at each surveying point in each subregion of the land to be planned
Figure FDA0003135845790000032
Figure FDA0003135845790000033
Expressed as the r-th soil quality parameter value at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4，r1、r2、r3、r4Respectively expressed as soil water content, soil microorganism content, soil oxygen content and soil pH value in soil quality parameters.
6. The method of claim 1, wherein the method comprises: the step S6 includes the step of forming a numerical difference set of soil quality parameters at each surveying point in each subregion of the land to be planned
Figure FDA0003135845790000034
Figure FDA0003135845790000035
Expressed as the value difference of the r-th soil quality parameter at the j-th mapping point in the ith sub-area of the land to be planned, wherein r is r1,r2,r3,r4。
7. The method of claim 1, wherein the method comprises: the step S7 includes counting the farthest distance between each sub-area of the land to be planned and the water source, and forming a set L 'a (L' a) of the farthest distances between each sub-area of the land to be planned and the water source1,L′a2,...,L′ai,...,L′an)，L′aiExpressed as the farthest distance of the ith sub-area of the ground to be planned from the water source.
8. The method of claim 1, wherein the method comprises: the land utilization potential estimation coefficient calculation formula of each subregion in the land to be planned is
Figure FDA0003135845790000041
ψiExpressed as a land utilization potential estimation coefficient, lambda, of the ith sub-area in the land to be plannedrExpressed as the impact weight coefficient corresponding to the r-th soil quality parameter, wherein r is r1,r2,r3,r4，WSign boardr is expressed as the standard value of the r-th soil quality parameter, mu is expressed as the influence coefficient of the height fall of the region on the land utilization potential, alpha is expressed as the influence compensation coefficient corresponding to the distance between the region and the water source, and L is expressed as the influence compensation coefficientSign boardExpressed as the standard distance of the land area from the water source.
9. An apparatus, characterized by: the method comprises the following steps: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when executing, retrieves the computer program from the non-volatile memory via the network interface and executes the computer program via the memory to perform a method of analyzing data of survey project mapping information for an earth-planning survey according to any of claims 1-8.
10. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, and the computer program realizes the method for analyzing the mapping information data of the land planning survey project according to any one of claims 1 to 8 when the computer program runs in the memory of the server.
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