An Artificial Intelligence-Based Method for Selecting Settlement Sites for Immigrants

Abstract

The present invention relates to the technical field of data analysis, and specifically relates to a method for selecting a settlement location for immigrants based on artificial intelligence, including: intercepting an electronic map of a target area, collecting structural layout information in the electronic map of the target area, synchronously uploading geographical environment information of the area defined by the electronic map of the target area, and setting the size of the area for settlement location selection; preselecting areas for settlement location in the electronic map of the target area, analyzing the suitability of each preselected area for settlement location as a settlement location area, and performing a descending order sorting on each preselected area for settlement location based on the analysis results of the suitability of each preselected area for settlement location; through the way of setting a general immigration area and obtaining the structural layout and geographical environment information within the immigration area, the present invention captures the best area in the immigration area suitable for settlement location immigration of immigrants. Compared with manual discussion and decision-making, it has higher efficiency and accuracy, lower labor and time costs, and the output area for settlement location immigration of immigrants is more objective.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and particularly to an artificial intelligence-based immigrant settlement site selection method. Background Art

[0002] The selection of immigrant settlement sites needs to comprehensively consider various factors. Naturally, areas with flat terrain, suitable climate, sufficient water sources and good water quality should be considered; culturally, places with convenient transportation, great potential for economic development, perfect public service facilities, good cultural compatibility and social stability should be selected to ensure that immigrants can live and work in peace and contentment.

[0003] The invention patent with the application number 202211048909.5 discloses a method for identifying settlement site selection environment patterns based on meta-learning, including: obtaining remote sensing images and digital elevation models of the settlement to be identified; inputting the remote sensing images and DEM data of the settlement to be identified into the trained settlement ground object segmentation model to obtain the environmental ground object distribution map of the settlement; inputting the environmental ground object distribution map of the settlement into the trained settlement site selection environment pattern identification model to obtain the type of the site selection environment pattern of the settlement.

[0004] This application aims to solve the problem that "China has a large number of settlements, which are widely and scattered. Settlements in different regional environments have complex and changeable environmental features and site selection patterns. Using the above methods to carry out research requires a lot of time and expert knowledge, and the research results have certain regional limitations and are difficult to meet the construction planning needs of the whole country".

[0005] However, from the perspective of land planning and management personnel, in the scenario of immigrant settlement site selection, there may be certain selectable and adjustable characteristics in the immigrant area. At present, the final immigrant area is often discussed and decided based on the work experience and professional knowledge of relevant personnel, and the process is inefficient and there are certain rationality deviations.

[0006] Therefore, an artificial intelligence-based immigrant settlement site selection method is proposed. Summary of the Invention

[0007] In view of the above-mentioned drawbacks of the prior art, the present invention provides an artificial intelligence-based immigrant settlement site selection method, which solves the technical problems raised in the above background art.

[0008] To achieve the above object, the present invention is realized through the following technical solutions:

[0009] An artificial intelligence-based immigrant settlement site selection method includes:

[0010] Intercept the electronic map of the target area, collect the structural layout information in the electronic map of the target area, synchronously upload the geographical environment information of the area defined by the electronic map of the target area, and set the area size of the settlement site selection; preselect the settlement site selection areas in the electronic map of the target area, analyze the suitability of each preselected settlement site selection area as a settlement site selection area, and perform a descending order sorting on each preselected settlement site selection area based on the analysis results of the suitability of each preselected settlement site selection area; set the settlement site selection optional decision threshold, and in the preselected settlement site selection areas that have completed the descending order sorting, use the settlement site selection optional decision threshold as the boundary to capture the preselected settlement site selection areas not less than the settlement site selection optional decision threshold; obtain the captured preselected settlement site selection areas, and further identify the recommendation index of each preselected settlement site selection area as a settlement site selection area; pick up the preselected settlement site selection area with the highest recommendation index, and use the preselected settlement site selection area as the final settlement site selection area for immigration;

[0011] After picking up the preselected settlement site selection area with the highest recommendation index, it is synchronously fed back to the user terminal, and the feedback method is: the corresponding model of the preselected settlement site selection area is rendered and represented in the three-dimensional model corresponding to the area defined by the electronic map of the target area;

[0012] Among them, the rendering color tone of the corresponding model of the preselected settlement site selection area is user-defined and is different from the color tones included in the three-dimensional model.

[0013] Furthermore, the electronic map of the target area is created by the user terminal selecting no less than three groups of position coordinates in the electronic map and connecting the selected position coordinates to create a closed area, which is denoted as the electronic map of the target area;

[0014] The structural layout information in the electronic map of the target area includes: the altitude of each point in the land part of the area defined by the electronic map of the target area, the depth of each point in the river and lake part of the area defined by the electronic map of the target area, the occupied area, location and structural parameters of buildings and structures in the area defined by the electronic map of the target area; the geographical environment information of the area defined by the electronic map of the target area includes: the thickness of each underground soil layer, the comprehensive load performance of each underground soil layer, and the groundwater position information;

[0015] The area size of the settlement site selection is user-defined;

[0016] The points used to represent the land altitude and river and lake depth in the electronic map of the target area are evenly distributed in the electronic map of the target area, so that the distance between adjacent points is equal, and the density of the points is user-defined, and it follows that the higher the settlement site selection accuracy requirement, the higher the set density of the points, and the lower the settlement site selection accuracy requirement, the lower the set density of the points;

[0017] After the acquisition of the structural layout information, a 3D model corresponding to the area defined by the target area electronic map is synchronously constructed based on the structural layout information. The 3D model is further segmented based on a point matrix to obtain several groups of sub-3D models;

[0018] Among them, the size of the point matrix is user-defined, and both the length and width of the point matrix are not less than 2. After the 3D model is segmented based on the point matrix to obtain several groups of sub-3D models, each sub-3D model is used as the upload target, and the geographical environment information of the corresponding area of each sub-3D model in the target area electronic map is uploaded.

[0019] Furthermore, the groundwater level information includes the distance from the groundwater to the nearest soil layer and the groundwater depth;

[0020] The comprehensive load performance of each underground soil layer is expressed as:

[0021] ;

[0022] In the formula: is the comprehensive load performance value of each underground soil layer; is the total amount of underground soil layers; is the natural unit weight of the i-th soil layer; is the thickness of the i-th soil layer; is the additional stress at the top of the i-th soil layer; is the Poisson's ratio of the i-th soil layer; is the coefficient of lateral pressure of the i-th soil layer; is the compression modulus of the i-th soil layer;

[0023] Among them, the comprehensive load performance value The larger it is, the better the comprehensive load performance of each underground soil layer. Conversely, it means the worse the comprehensive load performance of each underground soil layer.

[0024] Furthermore, the operation of preselecting a settlement site area in the target area electronic map is as follows: Using the sub-3D models obtained by segmenting the 3D model corresponding to the area defined by the target area electronic map as the preselection target, combining a certain number of adjacent sub-3D models to obtain a model not less than the set size of the settlement site area, denoted as the preselected settlement site area model. Using the preselected settlement site area model as the suitability analysis target, perform the analysis operation:

[0025] ;

[0026] In the formula: is the suitability of the preselected settlement site area model; is the total number of sub-3D models included in the preselected settlement site area model; is the comprehensive load performance value of each soil layer underground for the j-th sub-three-dimensional model; are the maximum and minimum comprehensive load performance values of each soil layer underground in the sub-three-dimensional models included in the preselected settlement site selection area model; is the flatness of the preselected settlement site selection area model; is the total quantity of buildings and structures in the preselected settlement site selection area model; is the floor area of the v-th building or structure; is the distance from the groundwater to the nearest soil layer; is the groundwater depth;

[0027] Among them, the suitability of the preselected settlement site selection area model The larger the value, the more suitable the area corresponding to the preselected settlement site selection area model in the target area electronic map is as a site selection area. On the contrary, it means it is less suitable as a site selection area. Based on the above formula, the suitability of each preselected settlement site selection area model is obtained, and then there is .

[0028] Furthermore, the settlement site selection optional determination threshold is user-defined by the system end user. When the number of preselected settlement site selection areas captured in the stage of capturing preselected settlement site selection areas not less than the settlement site selection optional determination threshold is greater than one-half of the total number of all preselected settlement site selection areas, further discard the latter one-half of the preselected settlement site selection areas captured. The remaining preselected settlement site selection areas are the finally captured preselected settlement site selection areas;

[0029] When the number of preselected settlement site selection areas captured is less than one-half of the total number of all preselected settlement site selection areas, the captured preselected settlement site selection areas are the finally captured preselected settlement site selection areas.

[0030] Furthermore, the recognition logic of the recommendation index of the preselected settlement site selection area as a settlement site selection area is expressed as:

[0031] ;

[0032] In the formula: is the recommendation index of the preselected settlement site selection area as a settlement site selection area; is the number of sides of the preselected settlement site selection area after polygon fitting; is the area of the preselected settlement site selection area; is the estimated demolition cost value of the v-th building or structure in the preselected settlement site selection area; is the weight;

[0033] Among them, the recommendation index of the preselected settlement site selection area as a settlement site selection area The larger it is, the more reasonable the preselected settlement site selection area is as a settlement site selection area. On the contrary, it means it is less reasonable. The value is user-defined, and the weight is user-defined by the client, both are greater than zero, and the sum of the two is less than 1;

[0034] The calculation target of the above formula is all the finally captured preselected settlement site selection areas.

[0035] Furthermore, the operation of the preselected settlement site selection area based on polygon fitting is as follows:

[0036] Pick up the edge matrix points included in the preselected settlement site selection area, and connect the adjacent picked-up edge matrix points to obtain a closed figure. The number of sides of the closed figure is .

[0037] Furthermore, the recommended index of the preselected settlement site selection area as a settlement site selection area After being obtained, it is up to the client to decide whether to make corrections;

[0038] The correction logic is expressed as:

[0039] ;

[0040] In the formula: is the recommended index of the corrected preselected settlement site selection area as a settlement site selection area; is the straight-line distance from the center point of the preselected settlement site selection area to the target point;

[0041] The target point is any business district center point in the urban area where the electronic map of the target area defined by the client is located.

[0042] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following beneficial effects:

[0043] The present invention provides an artificial intelligence-based method for immigrant settlement site selection. During the execution of this method, by setting a general immigrant area and obtaining the structural layout and geographical environment information within the immigrant area, the best area suitable for settlement site selection and immigration in the immigrant area is captured. Compared with manual discussion and decision-making, it has higher efficiency and accuracy, lower labor and time costs, and the output settlement site selection and immigration area is more objective. In addition, multiple areas for settlement site selection and immigration can be output simultaneously during the execution of this method, thus providing more references and choices for relevant staff and effectively promoting the development of settlement site selection and immigration work. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 The figure is a flowchart of an artificial intelligence-based immigrant settlement site selection method. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The present invention will be further described below in conjunction with the embodiments. Embodiment 1:

[0048] An artificial intelligence-based immigrant settlement site selection method in this embodiment, such as Figure 1 As shown, including:

[0049] Intercepting the electronic map of the target area, collecting the structural layout information in the electronic map of the target area, synchronously uploading the geographical environment information of the area defined by the electronic map of the target area, and setting the area size for the settlement site selection;

[0050] The target area electronic map is a target area electronic map in which the user terminal selects at least three sets of position coordinates from the electronic map, and connects the selected position coordinates to create a closed area, which is recorded as the target area electronic map;

[0051] The structural layout information in the target area electronic map includes: the altitude of each point in the land part of the area defined by the target area electronic map, the depth of each point in the river and lake part of the area defined by the target area electronic map, the size, location and structural parameters of the buildings and structures in the area defined by the target area electronic map; the geographical environment information of the area defined by the target area electronic map includes: the thickness of each underground soil layer, the comprehensive load performance of each underground soil layer, and the location information of groundwater;

[0052] The size of the settlement site selection area is customized by the user;

[0053] The points used to represent the land elevation and the depths of rivers and lakes in the target area electronic map are evenly distributed in the target area electronic map, so that the distances between adjacent points are equal, and the density of the points is user-defined. Moreover, it follows that the higher the settlement site selection accuracy requirement, the higher the set density of the points, and the lower the settlement site selection accuracy requirement, the lower the set density of the points;

[0054] After the structural layout information is collected, a three-dimensional model corresponding to the area defined by the target area electronic map is synchronously constructed based on the structural layout information. The three-dimensional model is further segmented based on the point matrix to obtain several groups of sub-three-dimensional models;

[0055] Among them, the size of the point matrix is user-defined, and both the length and width of the point matrix are not less than 2. After the three-dimensional model is segmented based on the point matrix to obtain several groups of sub-three-dimensional models, each sub-three-dimensional model is used as the upload target, and the geographical environment information of the corresponding area of each sub-three-dimensional model in the target area electronic map is uploaded;

[0056] The groundwater level information includes the distance from the groundwater to the nearest soil layer and the groundwater depth;

[0057] The comprehensive load performance of each underground soil layer is expressed as:

[0058] ;

[0059] In the formula: is the comprehensive load performance value of each underground soil layer; is the total amount of underground soil layers; is the natural unit weight of the i-th soil layer; is the thickness of the i-th soil layer; is the additional stress at the top of the i-th soil layer; is the Poisson's ratio of the i-th soil layer; is the coefficient of lateral pressure of the i-th soil layer; is the compression modulus of the i-th soil layer;

[0060] Among them, the comprehensive load performance value The larger it is, the better the comprehensive load performance of each underground soil layer; conversely, it indicates that the comprehensive load performance of each underground soil layer is worse;

[0061] Through the above logical formula calculation, the comprehensive load performance of each underground soil layer is digitally calculated, providing a prerequisite for the subsequent analysis of the suitability of the preselected settlement site area model in this embodiment;

[0062] Preselect the settlement site areas in the target area electronic map, analyze the suitability of each preselected settlement site area as a settlement site area, and perform a descending order on each preselected settlement site area based on the analysis results of the suitability of each preselected settlement site area;

[0063] The operation of the preselected settlement site selection area in the target area electronic map is as follows: taking the sub-three-dimensional models obtained by dividing the three-dimensional model corresponding to the area defined by the target area electronic map as the preselected targets, combining a certain number of adjacent sub-three-dimensional models to obtain a model not smaller than the set size of the settlement site selection area, denoted as the preselected settlement site selection area model, taking the preselected settlement site selection area model as the suitability analysis target, and performing the analysis operation:

[0064] ;

[0065] In the formula: is the suitability of the preselected settlement site selection area model; is the total number of sub-three-dimensional models included in the preselected settlement site selection area model; is the comprehensive load performance value of each underground soil layer of the j-th sub-three-dimensional model; is the maximum and minimum comprehensive load performance values of each underground soil layer among the sub-three-dimensional models included in the preselected settlement site selection area model; is the flatness of the preselected settlement site selection area model; is the total number of buildings and structures in the preselected settlement site selection area model; is the floor area of the v-th building or structure; is the distance from the groundwater to the nearest soil layer; is the groundwater depth;

[0066] Among them, the suitability of the preselected settlement site selection area model The larger the value, the more suitable the area corresponding to the preselected settlement site selection area model in the target area electronic map is as the site selection area. On the contrary, it means that it is less suitable as the site selection area. Based on the above formula, the suitability of each preselected settlement site selection area model is obtained, and then there is ;

[0067] Through the above logical formula, the suitability of the preselected settlement site selection area model is calculated, so as to provide data support for the comparison and site selection of the subsequent preselected settlement site selection area model.

[0068] Set the settlement site selection optional decision threshold, and in the preselected settlement site selection areas sorted in descending order, use the settlement site selection optional decision threshold as the boundary to capture the preselected settlement site selection areas not smaller than the settlement site selection optional decision threshold;

[0069] Obtain the captured preselected settlement site selection areas, and further identify the recommended index of each preselected settlement site selection area as the settlement site selection area;

[0070] The recognition logic of the recommended index of the preselected settlement site selection area as the settlement site selection area is expressed as:

[0071] ;

[0072] In the formula: is the recommended index of the preselected settlement site area as the settlement site area; is the number of sides after polygon fitting for the preselected settlement site area; is the area of the preselected settlement site area; is the estimated demolition cost of the v-th building or structure in the preselected settlement site area; is the weight;

[0073] Among them, the recommended index of the preselected settlement site area as the settlement site area The larger it is, the more reasonable the preselected settlement site area is as the settlement site area. On the contrary, it means it is less reasonable. The value is user-defined at the client side. The weight is user-defined at the client side, and both are greater than zero, and the sum of the two is less than 1;

[0074] Based on the above logical formula, calculate the recommended index of the preselected settlement site area, so as to serve the selection operation of the final settlement site area;

[0075] The calculation target of the above formula is all the finally captured preselected settlement site areas;

[0076] The operation of polygon fitting for the preselected settlement site area is as follows:

[0077] Pick up the edge matrix points included in the preselected settlement site area, and connect the adjacent picked-up edge matrix points to obtain a closed figure. The number of sides of the closed figure is ;

[0078] Pick up the preselected settlement site area with the highest recommended index, and use the preselected settlement site area as the final settlement site area for resettlement.

[0079] In this embodiment, through the execution of the method in the above embodiment, it brings a more intelligent settlement site selection and resettlement recommendation reference for the relevant personnel carrying out the settlement site selection and resettlement work, and further improves the accuracy, progress and efficiency of the settlement site selection and resettlement work. Embodiment 2:

[0080] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 1 to further specifically describe a method for artificial intelligence-based resettlement site selection in Embodiment 1:

[0081] The optional determination threshold for settlement site selection is user-defined by the system end-user. In the stage of capturing the preselected settlement site selection area not less than the optional determination threshold for settlement site selection, when the number of captured preselected settlement site selection areas is greater than one-half of the total number of all preselected settlement site selection areas, further discard the latter one-half of the captured preselected settlement site selection areas. The remaining preselected settlement site selection areas are the finally captured preselected settlement site selection areas;

[0082] When the number of captured preselected settlement site selection areas is less than one-half of the total number of all preselected settlement site selection areas, the captured preselected settlement site selection areas are the finally captured preselected settlement site selection areas.

[0083] Through the above settings, the preselected settlement site selection area is determined, providing the necessary execution data support for the execution of the method in Embodiment 1 above.

[0084] As Figure 1 shown, after obtaining the recommended index of the preselected settlement site selection area as the settlement site selection area, it is up to the user end to decide whether to correct it; The correction logic of

[0085] is expressed as:

[0086] ;

[0087] In the formula: is the recommended index of the corrected preselected settlement site selection area as the settlement site selection area; is the straight-line distance from the center point of the preselected settlement site selection area to the target point;

[0088] The target point is any business district center point in the urban area where the electronic map of the target area defined by the user end is located.

[0089] Through the above logical formula, a further correction logic is provided for the recommended index in Embodiment 1, so as to serve the users using this method, correct the recommended index of the preselected settlement site selection area as the settlement site selection area according to their needs, and thus obtain a more accurate recommended index result.

[0090] As Figure 1 shown, after picking up the preselected settlement site selection area with the highest recommended index, it is synchronously fed back to the user end. The feedback method is: rendering and representing in the 3D model corresponding to the area defined by the preselected settlement site selection area corresponding model in the target area electronic map;

[0091] Among them, the rendering color tone of the preselected settlement site selection area corresponding model is user-defined by the user end and is different from the color tones included in the 3D model.

[0092] In summary, during the execution of the method in the above embodiments, by setting a general immigration area and obtaining the structural layout and geographical environment information within the immigration area, the best area suitable for settlement site selection and immigration in the immigration area is captured. Compared with manual discussion and decision-making, it has higher efficiency and accuracy, lower labor and time costs, and the output settlement site selection and immigration area is more objective. In addition, during the execution of this method, multiple areas for settlement site selection and immigration can be output simultaneously, thus providing more references and choices for relevant staff and effectively promoting the development of settlement site selection and immigration work.

[0093] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence-based method for selecting the location of immigrant settlements, characterized in that, include: Intercepting the electronic map of the target area, collecting the structural layout information in the electronic map of the target area, synchronously uploading the geographical environment information of the area defined by the electronic map of the target area, and setting the area size for the settlement site selection; Preselecting settlement site selection areas in the electronic map of the target area, analyzing the suitability of each preselected settlement site selection area as a settlement site selection area, and sorting each preselected settlement site selection area in descending order based on the suitability analysis results of each preselected settlement site selection area; Set a settlement site selection threshold, and use the settlement site selection threshold as the boundary in the pre-selected settlement site selection areas that have been sorted in descending order to capture the pre-selected settlement site selection areas that are not less than the settlement site selection threshold; Obtain the captured pre-selected settlement site selection areas, and further identify each pre-selected settlement site selection area as a recommended index for the settlement site selection area; Pick up the pre-selected settlement site selection area with the highest recommendation index, and use the pre-selected settlement site selection area as the final settlement site selection area for immigration; The target area electronic map is a map in which the user terminal selects at least three sets of position coordinates from the electronic map, and the selected position coordinates are connected to create a closed area, which is recorded as the target area electronic map; The structural layout information in the electronic map of the target area includes: the altitude of each point in the land part of the area defined by the electronic map of the target area, the depth of each point in the river and lake part of the area defined by the electronic map of the target area, the size, location and structural parameters of buildings and structures in the area defined by the electronic map of the target area; the geographical environment information of the area defined by the electronic map of the target area includes: the thickness of each underground soil layer, the comprehensive load performance of each underground soil layer, and the location information of groundwater; The size of the settlement site selection area is customized by the user; The groundwater location information includes the distance between the groundwater and the nearest soil layer and the groundwater depth; The comprehensive load performance of each underground soil layer is expressed as: ； In the formula: is the comprehensive load performance value of each soil layer underground; is the total amount of underground soil layers; is the natural unit weight of the i-th soil layer; is the thickness of the i-th soil layer; is the additional stress at the top of the i-th soil layer; is the Poisson's ratio of the i-th soil layer; is the lateral pressure coefficient of the i-th soil layer; is the compression modulus of the i-th soil layer; Among them, the comprehensive load performance value of each soil layer underground The larger it is, the better the comprehensive load performance of each soil layer underground; on the contrary, it indicates that the comprehensive load performance of each soil layer underground is worse. The operation of preselecting the settlement site selection area in the target area electronic map is as follows: taking the sub-three-dimensional model obtained by segmenting the three-dimensional model corresponding to the area defined by the target area electronic map as the preselected target, combining a number of adjacent sub-three-dimensional models to obtain a model not less than the set settlement site selection area size, recorded as the preselected settlement site selection area model, taking the preselected settlement site selection area model as the suitability analysis target, and performing the analysis operation: ； Wherein: is the suitability of the preselected settlement site area model; is the total number of sub-three-dimensional models included in the preselected settlement site area model; is the comprehensive load performance value of each underground soil layer of the j-th sub-three-dimensional model; is the maximum or minimum comprehensive load performance value of each underground soil layer in the sub-three-dimensional models included in the preselected settlement site area model; is the flatness of the preselected settlement site area model; is the total number of buildings or structures in the preselected settlement site area model; is the floor area of the v-th building or structure; is the distance from the groundwater to the nearest soil layer; is the groundwater depth; Among them, the suitability of the preselected settlement location area model The larger the value, the more suitable the area in the target area electronic map corresponding to the preselected settlement location area model is as the location area. On the contrary, it means that it is less suitable as the location area. Based on the above formula, the suitability of each preselected settlement location area model is obtained, then there is .

2. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 1, wherein The points used to represent the land elevation and the depth of rivers and lakes in the electronic map of the target area are evenly distributed in the electronic map of the target area, so that the spacing between adjacent points is equal, and the density of the points is customized by the user end, and the higher the settlement site selection accuracy requirement, the higher the set density of the points, and the lower the settlement site selection accuracy requirement, the lower the set density of the points; After the structure layout information is collected, a three-dimensional model corresponding to the area defined by the target area electronic map is simultaneously constructed based on the structure layout information. The three-dimensional model is further segmented based on a point matrix to obtain a plurality of groups of sub-three-dimensional models. Among them, the size of the dot matrix is user-defined at the client side, and both the length and width of the dot matrix are not less than 2. After the three-dimensional model is segmented into several groups of sub-three-dimensional models based on the dot matrix, each sub-three-dimensional model is used as the upload target, and the geographical environment information of the corresponding area of each sub-three-dimensional model in the target area electronic map is uploaded.

3. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 1, wherein The optional determination threshold for the settlement site selection is user-defined by the system-side user. In the stage of capturing the preselected settlement site area not less than the optional determination threshold for the settlement site selection, when the number of captured preselected settlement site areas is greater than one-half of the total number of all preselected settlement site areas, further discard the latter one-half of the captured preselected settlement site areas, and the remaining preselected settlement site areas are the finally captured preselected settlement site areas; When the number of captured preselected settlement site areas is less than one-half of the total number of all preselected settlement site areas, the captured preselected settlement site areas are the finally captured preselected settlement site areas.

4. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 1, wherein The recognition logic of the recommended index of the preselected settlement site area as the settlement site area is expressed as: ； In the formula: is the recommended index for the preselected settlement site area as the settlement site area; is the number of sides after polygon fitting for the preselected settlement site area; is the area of the preselected settlement site area; is the estimated demolition cost of the v-th building or structure in the preselected settlement site area; is the weight; Among them, the recommended index of the preselected settlement site selection area as the settlement site selection area The larger it is, the more reasonable the preselected settlement site selection area is as the settlement site selection area. On the contrary, the smaller it is, the more unreasonable it is. The value is user-defined at the client side, and the weight is user-defined at the client side, and both are greater than zero, and the sum of the two is less than 1; The calculation target of the above formula is all the finally captured preselected settlement site areas.

5. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 4, wherein, The operation of the preselected settlement site area based on polygon fitting is: Pick up the edge matrix points included in the preselected settlement site area, and connect the adjacent picked-up edge matrix points to obtain a closed figure. The number of sides of the closed figure is .

6. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 4, characterized in that, The recommended index of the preselected settlement site area as the settlement site area After obtaining, the user terminal independently decides whether to make corrections; The said correction logic is expressed as: ； Where: is the recommended index for the preselected settlement site area as the settlement site area after correction; is the straight-line distance from the center point of the preselected settlement site area to the target point; The target point is the center point of any business district in the urban area where the target area electronic map defined by the client side is located.

7. The method for selecting a location for an immigrant settlement based on artificial intelligence according to claim 1, wherein, After the preselected settlement site area with the highest recommended index is picked up, it is synchronously fed back to the client side. The feedback method is: the corresponding model of the preselected settlement site area is rendered and represented in the three-dimensional model corresponding to the area defined by the target area electronic map; Among them, the rendering color tone of the model corresponding to the preselected settlement site area is user-defined at the client side and is different from the color tones included in the three-dimensional model.

Images