Road intelligent site selection and evaluation method and system

Abstract

The invention discloses a highway intelligent site selection and evaluation method and system, and the method comprises the following steps: obtaining the position information of a starting point, an end point and an inevitable point of a highway, building grids on a map according to the position information of the starting point, the end point and the inevitable point of the highway, and calculating the cost value of a natural resource or an adjacent avoidance facility related to each grid; and traversing all grids, selecting the grid with the minimum total cost value from the starting point to the necessary point, selecting the grid with the minimum total cost value from the necessary point to the terminal point, automatically calculating the highway design elevation according to the highway site selection construction conditions in combination with the DEM, the live-action three-dimensional and natural resource and geographic space database, and automatically generating a highway site selection scheme. According to the method, the highway project site selection scheme can be quickly generated, the optimal scheme is selected, subversive modification caused by occupation of natural resources such as cultivated land, farmland and ecological protection red lines is avoided, and the project landing period is shortened.

Description

Technical Field

[0001] The present invention relates to the field of traffic planning, and in particular to a method and system for intelligent highway site selection and evaluation. Background Art

[0002] At present, the route selection of highway projects is mainly done manually based on highway project design software. According to the highway project design process and technical specifications, the highway line design is carried out and then field surveys are carried out. When too many farmlands, cultivated lands and ecological red lines are involved, the highway plan needs to be re-planned and designed. When submitting the land use application for approval, there are too many subversive modifications, resulting in a long land use cycle.

[0003] Existing smart site selection technologies or system research only focuses on smart site selection for block projects, and lacks research on smart site selection technologies for long-distance highway linear projects. Existing smart site selection systems are unable to provide site selection solutions for linear engineering projects such as highway projects. Summary of the invention

[0004] The technical problem to be solved by the present invention is: in response to the technical problems existing in the prior art, the present invention provides a method and system for intelligent highway site selection and evaluation under spatial control conditions, which can quickly generate highway project site selection plans and select the best plan, thereby shortening the project implementation cycle.

[0005] In order to solve the above technical problems, the technical solution proposed by the present invention is:

[0006] A method for intelligent highway site selection and evaluation comprises the following steps:

[0007] S101) obtaining the location information of the starting point, the end point and the necessary points of the highway, establishing a grid on the map according to the location information of the starting point, the end point and the necessary points of the highway, and calculating the cost value of each grid;

[0008] S102) traversing all grids, selecting the grid with the smallest total cost value from the starting point to the necessary point, and selecting the grid with the smallest total cost value from the necessary point to the end point, to generate a route from the starting point through the necessary point to the end point;

[0009] S103) Calculate the score of each route according to the preset evaluation factors, and take the site selection plan of the route with the highest score as the best site selection plan.

[0010] Optionally, before step S101, the method further includes: acquiring data of historical highway projects and calculating land saving level analysis results of each historical highway project according to a specified land saving level analysis index, classifying the land saving level analysis results of each historical highway project, and adding historical highway projects whose land saving level analysis results are greater than a target level and their land saving level analysis results to a case library;

[0011] Step S103 also includes: if there are two or more routes with the highest scores, calculating the land saving level analysis results of each route according to the specified land saving level analysis index, obtaining the historical highway projects of the same type as the route and their land saving level analysis results in the case library, ranking the routes and the land saving level analysis results of the historical highway projects, selecting the site selection plan of the highest ranked route as the best site selection plan, and adding the best site selection plan and its land saving level analysis results to the case library.

[0012] Furthermore, step S101 specifically includes:

[0013] S201) constructing a bounding rectangle including the starting point, the end point and the necessary points on the map according to the starting point, the end point and the necessary points, and dividing the bounding rectangle into grids of a specified size;

[0014] S202) For each grid, the natural resource area and the number of important facilities in the grid are obtained, a first cost value is calculated according to the area of ​​each natural resource in the grid, and a second cost value is calculated according to the number of important facilities in the grid, and the first cost value and the second cost value are added to obtain the cost value corresponding to the grid.

[0015] Furthermore, in step S202, when calculating the first cost value according to the area of ​​each natural resource in the grid, it includes:

[0016] S301) if a new priority requirement is obtained, modify the weight of the corresponding natural resource according to the new priority requirement;

[0017] S302) Calculate the proportion of each natural resource area in the grid, calculate the cost of each natural resource according to the proportion of each natural resource area, and then calculate the weighted sum of the cost of each natural resource to obtain a first cost value.

[0018] Furthermore, in step S102, when traversing all grids, it includes:

[0019] S401) taking the cost value of each grid as the distance between the grid and the adjacent and visited grids;

[0020] S402) Starting from the grid corresponding to the starting point, all grids are traversed using the shortest path algorithm to obtain the shortest path and shortest distance between the starting point grid and other grids.

[0021] Furthermore, in step S102, when generating a route from the starting point through the necessary points to the end point, it includes:

[0022] S501) connecting the center points of adjacent grids in the grid with the smallest total cost value from the starting point through the necessary points to the end point to obtain a corresponding route;

[0023] S502) Calculate the elevation of the built roads in the area where the line passes, use the elevation of the built roads as the basis for elevation calculation, and calculate the corresponding elevation of the line according to the natural resource type of the area and the highway project construction condition parameters.

[0024] Furthermore, in step S102, after generating a route from the starting point through the necessary points to the end point, a step of detecting the route is also included, specifically including:

[0025] S601) detecting whether the curvature of the curved position of the line meets the requirement;

[0026] S602) if the curvature does not meet the requirement, smoothing the curved position of the line, and detecting whether the curved position after the smoothing process covers the avoidance facility, and if so, continuing to smooth the curved position of the line until the curved position after the smoothing process does not cover the avoidance facility;

[0027] S603) If the curvature meets the requirements, or the curved position after smoothing does not cover the avoidance facilities, then check whether the elevation of the line is qualified. If so, output the line, otherwise adjust the elevation until the elevation of the line is qualified.

[0028] Furthermore, in step S103, when calculating the score of each route according to the preset evaluation factor, it includes:

[0029] S701) calculating the intersection area of ​​the current line and the factor layer map of each evaluation factor;

[0030] S702) According to the proportion of the intersection area, the score value in the preset rule is matched to obtain the score of each evaluation factor corresponding to the current route, and the score of each evaluation factor is weighted and summed according to the weight of each evaluation factor to obtain the score of the current route;

[0031] S703) If there are routes with the same score, and the intersection area ratio of the same evaluation factor of the routes with the same score is at the same level, the score of the evaluation factor of each route in the routes with the same score is increased or decreased by a specific score in order from small to large according to the corresponding intersection area ratio, and then the score of each evaluation factor of the same route is weightedly summed according to the weight of the evaluation factor to obtain a new score for the route.

[0032] Furthermore, when calculating the land saving level analysis results of each historical highway project according to the specified land saving level analysis index and calculating the land saving level analysis results of each route according to the specified land saving level analysis index, both include:

[0033] S801) Calculate the land-saving index value according to the specified land-saving level analysis index, and the expression is as follows:

[0034] Overall unit land area = total land area of ​​highway project / total length of highway line;

[0035] Unit land area of ​​roadbed = roadbed engineering partition area / roadbed line length*adjustment coefficient;

[0036] Investment intensity = total land area of ​​highway project / project investment;

[0037] Proportion of cultivated land = area of ​​cultivated land covered by the project / total land area*100;

[0038] The land area of ​​a single intersection project = the area of ​​all intersection projects and the number of intersection projects;

[0039] The land area of ​​a single toll station = the sum of the land areas of all toll stations / the number of toll stations;

[0040] The land area of ​​a single service area = the land area of ​​all service areas / the number of service areas;

[0041] In the above formula, the parameter on the left side of the expression is the land-saving index value, and the parameter on the right side of the expression is the specified land-saving level analysis index;

[0042] S802) The land-saving index value is matched with the corresponding rule in the rule knowledge base. If all the land-saving index values ​​satisfy the corresponding rule, the weight of each land-saving index value is calculated by the entropy weight method, and then each land-saving index value is weighted and summed, and the result of the weighted sum is used as the land-saving level analysis result.

[0043] The present invention also proposes a highway intelligent site selection and evaluation system, comprising a microprocessor and a computer-readable storage medium connected to each other, wherein the microprocessor is programmed or configured to execute any one of the highway intelligent site selection and evaluation methods.

[0044] The present invention also proposes a computer-readable storage medium, in which a computer program is stored. The computer program is used to be programmed or configured by a microprocessor to execute any one of the highway intelligent site selection and evaluation methods.

[0045] Compared with the prior art, the advantages of the present invention are:

[0046] The present invention constructs a grid according to the coordinates of the starting point, the end point and the necessary points of the highway, calculates the cost value of each grid, and quantifies the behavior of occupying natural resources into a cost value.

[0047] The present invention traverses all grids, selects the grid with the smallest total cost value from the starting point to the necessary point, and from the necessary point to the end point, and finally obtains the route with the smallest cost from the starting point to the end point of the highway. According to the principle of the shortest path algorithm, the existing highway design elevations in the grid area, the natural resource types and the highway project construction condition parameters, the highway project site selection plan is automatically generated.

[0048] When multiple routes are obtained, the present invention evaluates each route to obtain a corresponding score, takes the site selection plan of the route with the highest score as the best site selection plan, quantitatively analyzes the scientificity and rationality of the generated highway site selection plan, and selects a recommended plan based on the score. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is an overall flow chart of an embodiment of the present invention.

[0050] Figure 2 The figure is a flowchart of site selection according to an embodiment of the present invention.

[0051] Figure 3 4 is an evaluation flow chart of an embodiment of the present invention.

[0052] Figure 4 It is a schematic diagram of the circuit displayed on the visual interface in an embodiment of the present invention.

[0053] Figure 5 Schematic diagram of the intersection area of ​​the line and the factor map of the evaluation factor in the embodiment of the present invention.

[0054] Figure 6 The figure is a schematic diagram of route scores displayed on a visual interface in an embodiment of the present invention.

[0055] Figure 7 This is an evaluation flow chart after adding land-saving level analysis according to an embodiment of the present invention.

[0056] Figure 8 The diagram is a schematic diagram showing the ranking of land-saving level analysis results in a visualization interface according to an embodiment of the present invention.

[0057] Fig. 9 A schematic diagram of a case library after being updated is shown in a visualization interface according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The present invention is further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0059] Embodiment 1

[0060] This embodiment proposes a method for intelligent highway site selection and evaluation. Figure 1As shown, it includes two parts: highway project site selection evaluation and highway project smart site selection.

[0061] In order to realize the site selection evaluation of highway projects, this embodiment studies the construction of a factor library of 93 index items and a rule library of corresponding factors, and builds a site selection scheme evaluation model based on the rules. It should be noted that the factor library and the rule library of corresponding factors involved in the model can not only evaluate highway projects, but also evaluate other construction projects such as transportation, energy, water conservancy, and industry.

[0062] The site selection evaluation model of this embodiment constructs a 93-item big data comprehensive analysis index system from the aspects of land, ecology, planning, resources, risks, social economy, construction costs, construction conditions, etc. Each index item in the index system corresponds to a spatial data layer to form a spatial data factor library, and studies the calculation rules of the 93 index factors suitable for the site selection of highway projects to form a factor rule library and construct a multi-factor weighted analysis model based on spatial data: Q is the evaluation scheme score, Wi is the weight of the i-th indicator, Ti is the score of the i-th indicator, i is the i-th indicator, and n is the total number of indicators. The model scoring system refers to the relevant documents on site selection of the Ministry of Natural Resources, and divides each indicator into three levels. For the same level of site selection scheme scores, further increase or decrease the designated score from small to large according to the area of ​​the indicators involved in the site selection scheme, and quantify the recommended multiple site selection scheme levels. The specific steps are as follows:

[0063] 1) For multiple schemes to be evaluated with the same evaluation factor scores, compare the area ratios of the pressure factors;

[0064] 2) The site selection scheme with the lowest occupation ratio will be deducted 0 points, and 4 points will be deducted in order from the smallest to the largest occupation ratio. The score after the increase and deduction will be used as the score of this factor;

[0065] 3) Apply the multi-factor weighted model to calculate the final score of the site selection plan, and recommend and optimize the site selection plan based on the score.

[0066] In this embodiment, the rule base sets different rules according to different indicator requirements. For example:

[0067] 1) Incorporate natural resource elements such as land use, land planning, permanent basic farmland, ecological protection red lines, lakes, reservoirs, mountains, scenic spots, and public welfare forests into the factor library, set avoidance or evaluation rules, and incorporate them into the smart site selection rule library;

[0068] 2) Incorporate resource elements such as mineral resources, cultural relics resources, transportation resources, and housing resources into the factor library, set avoidance or evaluation rules, and incorporate them into the smart site selection rule library;

[0069] 3) The earthquake fault zones, geological disaster sites, flood storage areas, collapse areas, gas stations, gas stations, substations, power plants, garbage disposal sites, temples, schools, UHV lines, hydropower stations, funeral homes, sewage treatment plants and other facilities that need to be avoided on the roads are uniformly included in the factor library, and the avoidance distances are set according to the site selection requirements of different levels of roads, and included in the smart site selection rule library;

[0070] 4) Study the calculation rules and formulas for the amount of project demolition, the number of people to be resettled, the calculation of farmland reclamation fees, farmland occupation tax, farmland quota transaction fees, land reclamation fees, new construction land paid use fees, water conservancy funds, etc., set different calculation rules according to different levels of roads, and incorporate them into the smart site selection rule library;

[0071] 5) Rules related to smart site selection for highway projects: Rules related to calculation of turning radius and design elevation for different highway grades. When analyzing the system, select the corresponding rules according to the road grade, and when evaluating the scheme, analyze and calculate synchronously, and give the corresponding results.

[0072] In this embodiment, the factor library is based on a target database, such as the Hunan Province Natural Resources and Geographic Space Database, to extract spatial data corresponding to the highway project site selection evaluation factors and construct a smart site selection evaluation factor library.

[0073] In order to realize the intelligent site selection of highway projects, this embodiment proposes an improved shortest path + grid method intelligent site selection algorithm, and its idea is as follows:

[0074] (1) Determine the corridor area for site selection. According to highway construction requirements and national policy documents, clarify the indicators of highway grade and design specifications, manually determine the starting point (point A), end point (point B) and must-pass point (point C) of the site selection highway, and determine the highway corridor based on points A, B, and C.

[0075] (2) Based on the principle of the shortest path method, the minimum value of the shortest path is changed to the minimum cost of natural resource management elements such as cultivated land, farmland, and ecological protection red lines. The behavior of occupying natural resources is quantified as a cost value. The larger the occupied area, the higher the cost value. Important "NIMBY" facilities such as hospitals, schools, sewage treatment plants, and garbage treatment plants are avoided.

[0076] (3) Use grid algorithms to provide site selection solutions. Through certain discretization processing, the system converts the data into a quantifiable state and constructs a graph data structure to represent the possible path network. That is, based on the three points A, B, and C that the highway must pass through, a bounding rectangle is constructed and the bounding rectangle is divided into a default grid size of 100 meters by 100 meters (which can be adjusted dynamically according to project needs). A cost value is assigned to each grid. Then, the rules of cross curves, turning radius, and other rules of the highway design specifications built into the system rule base are combined to automatically generate a highway plan site selection route plan.

[0077] (4) Automatically calculate the design elevation and generate a longitudinal site selection plan. Extract 5-meter grid DEM data, existing highway project data, railway data, rivers, lakes, ground pipelines and other data from the natural resources and geographic space database, combine the set A, B, and C points with the corresponding highway grade standard design requirements, sort out the relationship between the site selection plan and the existing highways, railways, rivers, lakes, farmland, ground pipelines, etc., convert each relationship into a mathematical calculation method, set the design elevation calculation rules according to different grades of roads, and build them into the system's rule library. When selecting a site, the system automatically calculates the highway project design elevation and generates a longitudinal site selection plan.

[0078] (5) Integrate the highway project evaluation model, factor library factors, and rule library rules to analyze the system's site selection plan and give a grade score.

[0079] Based on the above concept, the method of this embodiment includes the following steps:

[0080] S101) obtaining the location information of the starting point, the end point and the necessary points of the highway, establishing a grid on the map according to the location information of the starting point, the end point and the necessary points of the highway, and calculating the cost value of each grid;

[0081] S102) traversing all grids, selecting the grid with the smallest total cost value from the starting point to the necessary point, and selecting the grid with the smallest total cost value from the necessary point to the end point, generating a route from the starting point through the necessary point to the end point, thereby obtaining a route site selection plan;

[0082] S103) Obtaining the site selection plan for each route, calculating the score of each route according to the preset evaluation factors, and taking the site selection plan of the route with the highest score as the best site selection plan.

[0083] The above steps are described in detail below.

[0084] like Figure 2 As shown, step S101 of this embodiment specifically includes:

[0085] S201) constructing a bounding rectangle including the starting point, the end point and the necessary points on the map according to the starting point, the end point and the necessary points, and dividing the bounding rectangle into grids of a specified size;

[0086] S202) For each grid, the natural resource area and the number of important facilities in the grid are obtained, a first cost value is calculated according to the area of ​​each natural resource in the grid, and a second cost value is calculated according to the number of important facilities in the grid, and the first cost value and the second cost value are added to obtain the cost value corresponding to the grid, and the calculation formula is:

[0087] Cost value = Σ(area covered by various natural resources / total grid area*weight of such resources) + Σ(penalty cost involving important facilities)

[0088] Among them, Σ(area covered by various natural resources / total area of ​​grids*weight of such resources) represents the first cost value, and Σ(penalty cost involving important facilities) represents the second cost value, among which "weight of such resources" specifically refers to the weight of the evaluation factor corresponding to natural resources in the indicator system of the site selection scheme evaluation model.

[0089] For different priority needs, such as paying special attention to minimizing the occupation of permanent basic farmland, the occupation of ecological protection red line is relatively secondary. When calculating the overall cost of the route plan, a higher weight value is given to the occupation of permanent basic farmland, while a lower weight is given to the impact on the ecological protection red line. For example, the covering of permanent basic farmland is extremely intolerable, but the covering of ecological protection red line is appropriate. The weight parameter of permanent basic farmland can be adjusted to 0.9, and the weight parameter of ecological protection red line can be adjusted to 0.1. The larger the parameter, the more sensitive it is, and vice versa.

[0090] Therefore, in step S202, when calculating the first cost value according to the area of ​​each natural resource in the grid, it includes:

[0091] S301) if a new priority requirement is obtained, modify the weight of the corresponding natural resource according to the new priority requirement;

[0092] S302) Calculate the proportion of each natural resource area in the grid, calculate the cost of each natural resource according to the proportion of each natural resource area, and then calculate the weighted sum of the cost of each natural resource to obtain a first cost value. Correspondingly, the cost value calculation formula corresponding to the grid is:

[0093] Cost = ∑((area covered by each type of natural resource × weight corresponding to the resource / total planned grid area) × weight coefficient of the resource itself) + ∑(additional penalty cost involving important facilities)

[0094] Among them, the "weight corresponding to this type of resources" specifically refers to the weight of the evaluation factors corresponding to natural resources in the indicator system of the site selection plan evaluation model, and the "weight coefficient of the resource itself" specifically refers to the weight of the natural resources after adjustment according to priority requirements. If a certain type of natural resources has no priority requirement, its weight is 1.

[0095] like Figure 2 As shown, in step S102 of this embodiment, when traversing all grids, it includes:

[0096] S401) taking the cost value of each grid as the distance between the grid and the adjacent and visited grids;

[0097] S402) Starting from the grid corresponding to the starting point, all grids are traversed using the shortest path algorithm to obtain the shortest path and shortest distance between the starting point grid and other grids.

[0098] In this embodiment, the shortest path algorithm can adopt the Dijkstra algorithm, which is not limited here. The starting point and the necessary point are respectively used as the starting point in step S402, and the grid on the shortest path from the starting point to the necessary point and the grid on the shortest path from the necessary point to the end point can be obtained. The grid on the shortest path is the grid with the smallest total cost value.

[0099] like Figure 2 As shown, in step S102, when generating a route from the starting point through the necessary points to the end point, it includes:

[0100] S501) connecting the center points of adjacent grids in the grid with the smallest total cost value from the starting point through the necessary points to the end point, and buffering the connecting lines of these center points by a certain distance to obtain the corresponding route;

[0101] S502) Calculate the elevation of the built roads in the area where the route passes, use the elevation of the built roads as the basis for elevation calculation, and calculate the corresponding elevation of the route according to the natural resource type of the area and the highway project construction condition parameters. The specific calculation rules are as follows:

[0102] 1) Based on DEM, built roads, railway data, etc., sort out the relationship with the highway plane site selection plan (overpass, underpass, intersection, etc., the program automatically analyzes), calculate the elevation of built roads and railways, etc., which will be used as the basis for the subsequent site selection plan elevation calculation according to different situations;

[0103] 2) In sections with relatively flat terrain such as fields, the design elevation of the expressway is about 6 meters above the ground;

[0104] 3) For sections of roads that pass through large tracts of basic farmland, the design elevation should be about 10 meters above the ground and determined to be bridges to reduce the occupation of basic farmland;

[0105] 4) If the area is mountainous or hilly, the tunnel should pass through the middle of a small hill to avoid high slopes and connect with the design elevation of the previous section. If it is a large and thick mountain, the height difference between the elevations on both sides of the mountain and the top of the mountain should be considered, and a tunnel should be set up if it is greater than 30 meters;

[0106] 5) Calculate the design elevation in combination with the connection of existing high-grade roads (taking the site selection of expressways as an example): When the existing expressway is in the form of a roadbed, the design elevation is higher than the existing expressway; when the existing expressway is a bridge, determine the crossing method based on the surrounding terrain elevation and the clear height of the existing expressway bridge (overcrossing: the design elevation is 8 meters higher than the existing expressway elevation, underpass: 7 meters lower than the existing expressway), and calculate the design elevation based on the rules; if the existing highway is an ordinary national or provincial highway: the design elevation is at least 6 meters higher than the existing provincial highway; if the existing road is a high-speed railway and the highway plane site selection intersects with the railway section, the design elevation is at least 8 meters lower than the railway elevation of the intersection section; if the existing road is a section where an ordinary railway intersects and the highway plane site selection intersects with the railway section, the design elevation is at least 8 meters higher than the existing railway elevation.

[0107] like Figure 2 As shown, in step S102, after generating a route from the starting point through the necessary points to the end point, a step of detecting the route is also included, specifically including:

[0108] S601) detecting whether the curvature of the curved position of the line meets the requirement;

[0109] S602) If the curvature does not meet the requirement, the curved position of the line is smoothed using a Catmull-Rom spline curve, and it is detected whether the curved position after the smoothing process covers the avoidance facility, that is, it is checked whether there is an avoidance facility in the grid corresponding to the curved position after the smoothing process, and if so, the curved position of the line is continuously smoothed using a Catmull-Rom spline curve until the curved position after the smoothing process does not cover the avoidance facility;

[0110] S603) If the curvature meets the requirements, or the curved position after smoothing does not cover the avoidance facilities, then check whether the elevation of the line is qualified, and if so, output the line. Figure 4 as shown, otherwise adjust the elevation until the elevation of the line is qualified.

[0111] like Figure 3 As shown, the site selection evaluation of this embodiment includes the following steps:

[0112] Input multiple evaluation plan TXT files for the same project;

[0113] Parse the boundary point TXT file (JAVA language read file stream method);

[0114] Convert TXT files to GIS spatial coordinate expression format WKT;

[0115] Call the rule library, factor library, evaluation scheme WKT and 92 spatial layers for spatial analysis;

[0116] Calculate spatial analysis area;

[0117] For indicators with the same scores, specific scores will be added or subtracted;

[0118] Calculate the evaluation scheme score according to the evaluation model.

[0119] In this embodiment, the evaluation of the site selection scheme mainly uses the key technology of PostGIS, which is an extension of the object-relational database system PostgreSQL. It provides powerful spatial analysis and computing capabilities and is the technical engine for scheme evaluation. Through the key technology of PostGIS, the scope line of the evaluation scheme and the 93 factors in the factor library are spatially analyzed to calculate the intersection area si...sn; then, according to the built-in analysis model and calculation rules of the smart site selection system, the scores of each factor and the total score of the scheme are calculated, and the cost calculation results involving the land are provided.

[0120] Therefore, in step S103, when calculating the score of each route according to the preset evaluation factor, it includes:

[0121] S701) For each route, the intersection area between the route and the factor layer of each evaluation factor is calculated. The intersection area is as follows: Figure 5 As shown;

[0122] S702) According to the proportion of the intersection area, the score value in the preset rule is matched to obtain the score of each evaluation factor corresponding to the route, and the score of each evaluation factor is weighted and summed according to the weight of each evaluation factor to obtain the score of the route;

[0123] S703) If there are routes with the same score, and the intersection area ratio of the same evaluation factor of the routes with the same score is at the same level, the score of the evaluation factor of each route in the routes with the same score is increased or decreased by a specific score in order from small to large according to the corresponding intersection area ratio, and then the score of each evaluation factor of the same route is weightedly summed according to the weight of the evaluation factor to obtain a new score for the route.

[0124] In this embodiment, different calculation rules are set according to the influence of different evaluation factors, and the levels are divided. For example, if the permanent basic farmland factor is involved, the rules are set as follows: Level 1: no permanent basic farmland is occupied, 100 points are given; Level 2: the area of ​​permanent basic farmland occupied is less than 5% of the construction project area, 80 points are given; Level 3: the area of ​​permanent basic farmland occupied is greater than 5% of the construction project area, 60 points are given.

[0125] After obtaining the scores of each evaluation factor, apply the Model, calculate the score of the evaluation scheme. Through the above steps, the score of each route is obtained, such as Figure 6Considering that there may be situations where the scores are the same, this situation is divided into the following two situations:

[0126] If there are routes with the same score, but the same score is not the highest score, the route with the highest score will still be selected as the best site selection plan;

[0127] If the same score is the highest score, the score needs to be recalculated to determine the only route with the highest score. Therefore, after calculating the score of each route according to the preset evaluation factors, it also includes:

[0128] If there are routes with the same score, then according to the intersection area corresponding to the same evaluation factor of the routes, a specific score is added or subtracted from the score of the corresponding evaluation factor of each route from small to large to obtain a new score for the route.

[0129] In this embodiment, for the routes with the same score, it is determined whether the intersection area of ​​the same evaluation factor accounts for the same level. If there are multiple plans with the same proportion, the one with a larger proportion will be deducted 4 points on the basis of the smaller proportion. For example, Plan 1, Plan 2, and Plan 3 all account for 5% of the permanent basic farmland area that is less than the construction project area, and they are scored 80 points. However, Plan 1 accounts for 2%, Plan 2 accounts for 3%, and Plan 3 accounts for 4%. In this case, Plan 2 will be deducted 4 points, which is 76 points, and Plan 3 will be deducted 8 points, which is 72 points.

[0130] After obtaining the new score of each evaluation factor, apply the Model, calculate the new score of the evaluation scheme.

[0131] For example, through steps S101 and S102, there are three routes A, B, and C from the starting point through the necessary point to the end point. This is because according to the shortest path algorithm, when selecting the grid with the smallest total cost value from the starting point to the necessary point and the grid with the smallest total cost value from the necessary point to the end point, there may be more than one shortest path from the starting point to the necessary point and from the necessary point to the end point. The specific process of selecting the best site selection plan according to step S103 is as follows:

[0132] (1) Read the assessment plan scope lines A, B, and C;

[0133] (2) Perform spatial analysis on the scope line A and multiple factor layers configured by smart site selection, and calculate the ratio of the intersection area of ​​each factor layer and the scope line to the area of ​​the scope line;

[0134] (3) The second step is to obtain the proportion of each factor layer, traverse all factor layers in the factor library, and calculate the score of each factor according to the scoring model and the calculation rules of the rule library;

[0135] (4) The third step is to obtain the scores of each factor and perform weighted summation;

[0136] (5) Traverse range line B and range line C and calculate the scores respectively;

[0137] (6) After the above steps, the scores of range line A, range line B, and range line C have been obtained. Check whether the scores are the same. If they are different, the process ends directly. If they are the same, the process proceeds to step 7.

[0138] (7) If the scores are the same, specific scores will be added or subtracted according to the proportion of the factors, and then the weighted sum will be used to calculate the comprehensive scores.

[0139] Embodiment 2

[0140] This embodiment proposes a highway intelligent site selection and evaluation system, including a microprocessor and a computer-readable storage medium connected to each other, and the microprocessor is programmed or configured to execute the highway intelligent site selection and evaluation method described in the first embodiment.

[0141] This embodiment also proposes a computer-readable storage medium, in which a computer program is stored. The computer program is used to be programmed or configured by a microprocessor to execute the highway intelligent site selection and evaluation method described in Example 1.

[0142] The highway intelligent site selection and evaluation system of this embodiment has a visual interface, and the system functions when realizing highway intelligent site selection are as follows:

[0143] (1) Provide the function of inputting the starting point, end point and passing points to determine the starting point, end point and passing points of the project;

[0144] (2) Setting site selection parameters

[0145] Set highway avoidance conditions and other site selection parameters, etc. You can choose earthquake fault zones, gas stations, substations, power stations, garbage incineration stations, sewage treatment plants, UHV lines and other conditions and avoidance distances; if there are other parameter requirements, you can add them yourself.

[0146] (3) Generate site selection scope and provide the function of automatically generating site selection scope for highway projects.

[0147] (4) Evaluation of the site selection scope of highway projects. After the site selection scope is generated, the three recommended site selection options are analyzed, and the system generates scores to compare the options. By listing the evaluation results of each option, it is possible to compare the options and select the better one.

[0148] The system functions of the highway intelligent site selection and evaluation system in this embodiment when implementing highway site selection evaluation are as follows:

[0149] (1) Enter basic highway information

[0150] A window is provided for manual input of basic project information, including project name, project type, project level, project nature, occupation of permanent basic farmland, occupation of ecological protection red line and other information.

[0151] (2) Site selection plan introduction

[0152] Provide one-click import of TXT, SHP, and DWG solution results, overlay display on existing data results, and provide convenient data browsing.

[0153] (3) Loading the site selection plan

[0154] Provides the function of loading project 3D model results on existing real-life 3D base map results.

[0155] (4) Analysis of site selection plan

[0156] According to the set evaluation model, the scheme is spatially analyzed. The system retrieves the factor rules from the rule library based on the weights set for the factors in the factor library, uses the calculation model to score, and displays the scheme evaluation results.

[0157] (5) Land Assessment

[0158] Based on the land assessment model, the site selection plan of the highway project and the land use data such as agricultural land, construction land, and unused land are analyzed, and the occupied area of ​​each type of land is calculated according to the rules of the rule base. For example, agricultural land includes the occupied cultivated land, occupied forest land, occupied pond water surface, and occupied ditch area.

[0159] (6) Planning evaluation

[0160] Based on the planning evaluation model, the site selection plan of the highway project is analyzed with the national economic and social development plan, industry-specific plan, national land space master plan, permanent basic farmland, ecological protection red line, etc., and the rules of the rule base are used to analyze its compliance with various plans.

[0161] (7) Ecological assessment

[0162] Based on the ecological assessment model, the site selection plan of major projects is analyzed with factors such as nature reserves, national parks, drinking water source protection areas, aquatic germplasm resource protection areas, wetlands, reservoirs, rivers, and scenic spots, and their occupancy is analyzed using the rules of the rule base.

[0163] (8) Resource Assessment

[0164] Based on the resource assessment model, determine the relationship between the site selection plan of the highway project and the resource distribution, analyze the relationship between the site selection plan and the mineral distribution, occupancy situation and conflict with major traffic arteries, and analyze whether there is a collision or conflict between the scope of the project plan and major traffic arteries.

[0165] (9) Risk Assessment

[0166] Based on the risk assessment model, the site selection plan of the highway project is analyzed in relation to facilities such as earthquake fault zones, mining subsidence areas, flood storage areas, gas stations, substations, power plants, landfills, and waste incineration stations, as well as the situation of the project plan avoiding these "NIMBY facilities".

[0167] (10) Construction Assessment

[0168] Based on the construction evaluation model, the construction status of the highway project site selection plan is evaluated and calculated, including the number of bridges and tunnels to be built, the amount of excavation and filling, the amount of demolition work, the number of people to be resettled, the number of houses to be demolished, etc., which is used for subsequent cost calculations.

[0169] (11) Cost Assessment

[0170] Based on the cost assessment model and cost calculation rules, the land-related costs involved in the construction of the highway project site selection plan are analyzed and calculated, including arable land reclamation fees, paid land use fees for new construction land, water conservancy funds, land compensation fees and resettlement subsidies, young crop compensation fees, demolition compensation fees, and social security fees for expropriated farmers.

[0171] (12) Socio-economic impact assessment

[0172] Based on the socio-economic impact assessment model, the socio-economic impact of the highway project site selection plan is analyzed, including the avoidance of concentrated urban construction areas, important industrial and mining enterprises, prefecture-level city seats, county government seats, and township government seats.

[0173] (13) Overview of evaluation results

[0174] Provides the function of viewing the evaluation results of different plans.

[0175] (14) Roaming plan

[0176] For project plans, users are supported to navigate the plans in three-dimensional mode, and the system will navigate the entire plan based on the pre-set path.

[0177] (15) Weight configuration

[0178] In practice, there may be situations where the weight settings are not in line with reality. To address this situation, the system provides support for adjusting the factor weights of land, planning, ecology, resources, and risk assessment, the project area ratio and score of the scoring system, and other parameters. The configuration of factor weights will affect the overall score of the solution.

[0179] Embodiment 3

[0180] This embodiment proposes a method for intelligent site selection and evaluation of highways, which is basically the same as the first embodiment, except that this embodiment takes into account the situation that when calculating the route score in step S103, there may still be multiple routes with the highest scores after adding or subtracting specific scores for indicators with the same scores. It is proposed to use the route with the highest score in step S103 as the recommended route, and perform a secondary evaluation based on the land saving level of each recommended route.

[0181] This embodiment adds two main steps: building a highway project land use case library and conducting intelligent analysis of land conservation level. The specific idea is:

[0182] Construct a land use case library to form sample data for land saving analysis of construction projects; construct intelligent analysis rules and algorithm models for land saving, analyze the advanced land saving level of site selection schemes, further optimize site selection schemes, and recommend optimized schemes. The optimized recommended schemes are those with high land saving levels, and the land use case library is updated synchronously as new analysis samples.

[0183] Based on the above ideas, this embodiment constructs a project land use case library before step S101, including:

[0184] The data of historical highway projects are obtained and the land saving level analysis results of each historical highway project are calculated according to the specified land saving level analysis indicators. The land saving level analysis results of each historical highway project are classified into grades, and the historical highway projects whose land saving level analysis results are greater than the target grade and their land saving level analysis results are added to the case library.

[0185] Specifically, by collecting, sorting and analyzing the approved and built highway projects and related industry specifications and design specifications in the historical period, the functional zoning requirements and project construction parameter requirements of highway projects of various levels are studied, and the construction parameters that affect highway land use are used as the main parameter basis to compile functional zoning specifications and case spatial data structures. Based on the above results, the approved and built highway projects are divided into functional zones (due to different land use standards and requirements for functional zoning of different projects, it is necessary to delineate functional zones according to different zoning requirements, such as roadbed engineering, intersection engineering, and facilities along the road), and the area of ​​each functional zone is calculated and the project construction parameter information is improved, which is used for the subsequent formulation of land saving level analysis rules (for example, the unit roadbed engineering land area is calculated based on the roadbed engineering area and the road length as an analysis indicator, and the functional zone area ranking is used as an analysis indicator). Then, a comprehensive evaluation index system including land use scale, land use structure, conservation and intensiveness, ecological impact, etc. is constructed for highway projects, and the entropy weight method is used to objectively calculate the weights of each indicator in the evaluation system. Combined with expert scoring, the collected land saving level and grade of highway projects are analyzed and calculated, and highway projects that meet the requirements are included in the land use case library.

[0186] In this embodiment, the specified land-saving level analysis indicators specifically include the total land area of ​​the highway project, the functional zoning area, the roadbed length, the line length, the information on the facilities along the line (service areas, toll stations, maintenance facilities, etc.), the conditions of cultivated land, ecological protection red lines, nature reserves, etc., the highway project investment, the growth elasticity coefficient, the utilization of facilities, the land-saving technology conditions, the ecological and environmental impacts, etc. Other parameters are obtained by spatial analysis with the spatial data of the Hunan Provincial Natural Resources and Geographical Space Database (such as the ecological protection red lines, ecological and environmental impacts, and facility utilization). When the land-saving level analysis results of each historical highway project are calculated according to the specified land-saving level analysis indicators, it includes:

[0187] Establish a rule knowledge base;

[0188] In this embodiment, the total land area, functional zoning area, roadbed length, line length, information on facilities along the line (service areas, toll stations, maintenance facilities, etc.), information on cultivated land, ecological protection red lines, nature reserves, highway project investment, growth elasticity coefficient, facility utilization, land-saving technology, ecological and environmental impact, etc. of all highway projects are extracted to study the land-saving indicator rules for highways of different grades, as shown in Table 1, and the rules are constructed into a knowledge base.

[0189] Table 1 Land-saving index rules for highways of different grades

[0190]

[0191]

[0192]

[0193]

[0194]

[0195]

[0196]

[0197] From Table 1, the rule knowledge base of this embodiment includes but is not limited to the following rules:

[0198] The overall unit land area of ​​eight-lane expressways in Class I terrain areas is less than the threshold value (8.6154), the overall unit land area of ​​eight-lane expressways in Class II terrain areas is less than the threshold value (9.3025), the unit land area of ​​eight-lane expressways in Class I terrain areas is less than the threshold value, the adjustment coefficient of the spacing of interchanges of expressways is set according to the number of lanes and terrain areas, the land area of ​​a single bridge project is less than the threshold value, the land area of ​​a single intersection project in Class I terrain areas is less than the threshold value, the land area of ​​a single main line toll station is less than the threshold value, the proportion of cultivated land range, the investment intensity range, the bridge-tunnel ratio> the threshold value, etc.

[0199] Build a land-saving level analysis model:

[0200] When building the land-saving level analysis model in this embodiment, the land-saving level evaluation index value of each highway is calculated, and the weight of each evaluation index is objectively calculated using the entropy value weighting method to calculate the comprehensive score of conservation and intensiveness. Finally, the index rules and weights are integrated to build an intelligent analysis model for the land-saving level of highway projects, including:

[0201] S801) Calculate the land-saving index value according to the specified land-saving level analysis index, and the expression is as follows:

[0202] Overall unit land area = total land area of ​​highway project / total length of highway line;

[0203] Unit land area of ​​roadbed = roadbed engineering partition area / roadbed line length*adjustment coefficient;

[0204] Investment intensity = total land area of ​​highway project / project investment;

[0205] Proportion of cultivated land = area of ​​cultivated land covered by the project / total land area*100;

[0206] The land area of ​​a single intersection project = the area of ​​all intersection projects and the number of intersection projects;

[0207] The land area of ​​a single toll station = the sum of the land areas of all toll stations / the number of toll stations;

[0208] The land area of ​​a single service area = the land area of ​​all service areas / the number of service areas;

[0209] In the above formula, the parameter on the left side of the expression is the land-saving index value, and the parameter on the right side of the expression is the specified land-saving level analysis index;

[0210] S802) The land-saving index value is matched with the corresponding rule in the rule knowledge base. If all the land-saving index values ​​satisfy the corresponding rule, the weight of each land-saving index value is calculated by the entropy weight method, and then each land-saving index value is weighted and summed, and the result of the weighted summation is used as the land-saving level analysis result. It should be noted that how to calculate the weight of the indicator by the entropy weight method is well known in the art, and the specific calculation process is not repeated in this embodiment.

[0211] In this implementation, the land saving level analysis results of each historical highway project are graded. Specifically, the analysis results are divided into three levels according to expert experience, from high to low, namely "first class", "second class" and "third class". "First class" and "second class" are regarded as highway projects with high land saving levels and are included in the land use case library to form a sample library for land saving level analysis of highway projects.

[0212] Through the above steps, various land-saving indicators of land-saving level analysis are constructed into a knowledge base. At the same time, a land-saving level analysis model is built according to different projects, and an algorithm model is constructed according to the weights calculated by the entropy weight method.

[0213] like Figure 7 As shown, this embodiment carries out intelligent analysis of land-saving level after step S103, including:

[0214] If there are two or more routes with the highest scores, the land saving level analysis results of each route are calculated according to the specified land saving level analysis indicators, and the historical highway projects of the same type as the route and their land saving level analysis results in the case library are obtained. The routes and the land saving level analysis results of the historical highway projects are ranked, and the site selection plan of the highest ranked route is selected as the best site selection plan, and the best site selection plan and its land saving level analysis results are added to the case library.

[0215] In this embodiment, when obtaining historical highway projects of the same type as the route and their land saving level analysis results in the case library, the highway project subcategories of the route are analyzed, such as expressways, national highways, provincial highways, etc., and then all cases of the same type in the land use case library are extracted.

[0216] In this embodiment, when calculating the land saving level analysis results of each line according to the specified land saving level analysis index, the relevant index values ​​of the highway project recommended through the initial evaluation are calculated according to the knowledge base index requirements, and the built-in intelligent analysis model is called to calculate the land saving level of the site selection plan through steps S801 and S802.

[0217] After calculating the land-saving level analysis results of the routes recommended in step S103, the land-saving level analysis results of the routes and historical highway projects are ranked, such as Figure 8As shown in FIG. 1 , in this embodiment, if the highest-ranked recommended route site selection scheme ranks high among all cases of the same type (the default is the top 30%), then the site selection scheme of the route is the recommended scheme. At the same time, after the land use approval is passed as the recommended scheme, the recommended scheme is added to the case library, thereby realizing automatic updating of the land use case library, such as Fig. 9 shown.

[0218] Embodiment 4

[0219] This embodiment proposes a highway intelligent site selection and evaluation system, including a microprocessor and a computer-readable storage medium connected to each other, and the microprocessor is programmed or configured to execute the highway intelligent site selection and evaluation method described in Example 3.

[0220] The system functions of the highway intelligent site selection and evaluation system of this embodiment when realizing intelligent analysis of land saving level are as follows:

[0221] 1) Highway project information input

[0222] Input The basic information of the site selection plan recommended after the model scores, such as road grade, road width, number of lanes, etc.

[0223] 2) Calculation of intelligent analysis indicators at the land-saving level.

[0224] After inputting the information of the site selection plan, the system calls the case library and the land-saving level analysis model for analysis.

[0225] 3) Presentation of analysis results.

[0226] According to the project type, the calculated indicators are extracted and sorted and displayed, different indicators are sorted and displayed on different pages, and a customized interface that integrates various indicators is provided.

[0227] 4) Update the land use case library with site selection schemes with high land saving level.

[0228] After analysis, if the site selection plan ranks better, the land use case library will be further updated.

[0229] 5) Export the analysis report.

[0230] Export the land-saving level intelligent analysis results in the form of a document.

[0231] In summary, the present invention discloses a method for intelligent site selection and evaluation of highways, and correspondingly designs an intelligent site selection and evaluation system for highways. Starting from the site selection and line selection process and technical specifications of highway projects, the automatic line selection, optimization algorithm and scheme evaluation index system of highway projects are studied. In the process of intelligent site selection of highway projects, only the coordinates of the starting point, end point and necessary points of the project need to be input to generate a highway route that meets the conditions of ecological civilization and project construction. In the design stage, based on the generated scheme, a slight adjustment of the line selection can meet the site selection needs of all parties, shorten the site selection cycle of highway projects, and ensure land use. In addition, for the automatically or manually designed highway project schemes, an evaluation index system and a constructed model are used for quantitative evaluation, and high-quality schemes are recommended by scores. On this basis, the recommended schemes of the intelligent site selection system are further analyzed for land saving level, and the site selection scheme is optimized, realizing the index system of intelligent site selection evaluation, the calculation rules of intelligent site selection evaluation factors, and the effective application of the highway project site selection evaluation system in land element guarantee.

[0232] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment, it is not intended to limit the present invention. Therefore, any simple modification, equivalent change and modification made to the above embodiment according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for intelligent highway site selection and evaluation, characterized in that: The following steps are involved: S101) obtaining the location information of the starting point, the end point and the necessary points of the highway, establishing a grid on the map according to the location information of the starting point, the end point and the necessary points of the highway, and calculating the cost value of each grid; S102) traversing all grids, selecting the grid with the smallest total cost value from the starting point to the necessary point, and selecting the grid with the smallest total cost value from the necessary point to the end point, to generate a route from the starting point through the necessary point to the end point; S103) Calculate the score of each route according to the preset evaluation factors, and take the site selection plan of the route with the highest score as the best site selection plan.

2. The method for intelligent highway site selection and evaluation according to claim 1 is characterized in that: Before step S101, the method further includes: acquiring data of historical highway projects and calculating land saving level analysis results of each historical highway project according to a specified land saving level analysis index, classifying the land saving level analysis results of each historical highway project, and adding historical highway projects whose land saving level analysis results are greater than a target level and their land saving level analysis results to a case library; Step S103 also includes: if there are two or more routes with the highest scores, calculating the land saving level analysis results of each route according to the specified land saving level analysis index, obtaining the historical highway projects of the same type as the route and their land saving level analysis results in the case library, ranking the routes and the land saving level analysis results of the historical highway projects, selecting the site selection plan of the highest ranked route as the best site selection plan, and adding the best site selection plan and its land saving level analysis results to the case library.

3. The method for intelligent highway site selection and evaluation according to claim 1, characterized in that: Step S101 specifically includes: S201) constructing a bounding rectangle including the starting point, the end point and the necessary points on the map according to the starting point, the end point and the necessary points, and dividing the bounding rectangle into grids of a specified size; S202) For each grid, the natural resource area and the number of important facilities in the grid are obtained, a first cost value is calculated according to the area of ​​each natural resource in the grid, and a second cost value is calculated according to the number of important facilities in the grid, and the first cost value and the second cost value are added to obtain the cost value corresponding to the grid.

4. The method for intelligent highway site selection and evaluation according to claim 3 is characterized in that: In step S202, when calculating the first cost value according to the area of ​​each natural resource in the grid, it includes: S301) if a new priority requirement is obtained, modify the weight of the corresponding natural resource according to the new priority requirement; S302) Calculate the proportion of each natural resource area in the grid, calculate the cost of each natural resource according to the proportion of each natural resource area, and then calculate the weighted sum of the cost of each natural resource to obtain a first cost value.

5. The method for intelligent highway site selection and evaluation according to claim 1 is characterized in that: In step S102, when traversing all grids, it includes: S401) taking the cost value of each grid as the distance between the grid and the adjacent and visited grids; S402) Starting from the grid corresponding to the starting point, all grids are traversed using the shortest path algorithm to obtain the shortest path and shortest distance between the starting point grid and other grids.

6. The method for intelligent highway site selection and evaluation according to claim 1, characterized in that: In step S102, when generating a route from the starting point through the necessary points to the end point, it includes: S501) connecting the center points of adjacent grids in the grid with the smallest total cost value from the starting point through the necessary points to the end point to obtain a corresponding route; S502) Calculate the elevation of the built roads in the area where the line passes, use the elevation of the built roads as the basis for elevation calculation, and calculate the corresponding elevation of the line according to the natural resource type of the area and the highway project construction condition parameters.

7. The method for intelligent highway site selection and evaluation according to claim 6, characterized in that: In step S102, after generating a route from the starting point through the necessary points to the end point, a step of detecting the route is also included, which specifically includes: S601) detecting whether the curvature of the curved position of the line meets the requirement; S602) if the curvature does not meet the requirement, smoothing the curved position of the line, and detecting whether the curved position after the smoothing process covers the avoidance facility, and if so, continuing to smooth the curved position of the line until the curved position after the smoothing process does not cover the avoidance facility; S603) If the curvature meets the requirements, or the curved position after smoothing does not cover the avoidance facilities, then check whether the elevation of the line is qualified. If so, output the line, otherwise adjust the elevation until the elevation of the line is qualified.

8. The method for intelligent highway site selection and evaluation according to claim 1, characterized in that: In step S103, when calculating the score of each route according to the preset evaluation factors, it includes: S701) For each route, the intersection area between the route and the factor layer of each evaluation factor is calculated; S702) according to the intersection area ratio, the score value in the preset rule is matched to obtain the score of each evaluation factor corresponding to the route, and the score of each evaluation factor is weighted and summed according to the weight of each evaluation factor to obtain the score of the route; S703) If there are routes with the same score, and the intersection area ratio of the same evaluation factor of the routes with the same score is at the same level, the score of the evaluation factor of each route in the routes with the same score is increased or decreased by a specific score in order from small to large according to the corresponding intersection area ratio, and then the score of each evaluation factor of the same route is weightedly summed according to the weight of the evaluation factor to obtain a new score for the route.

9. The method for intelligent highway site selection and evaluation according to claim 2, characterized in that: When calculating the land saving level analysis results of each historical highway project according to the specified land saving level analysis index and calculating the land saving level analysis results of each route according to the specified land saving level analysis index, both include: S801) Calculate the land-saving index value according to the specified land-saving level analysis index, and the expression is as follows: Overall unit land area = total land area of ​​highway project / total length of highway line; Unit land area of ​​roadbed = roadbed engineering partition area / roadbed line length*adjustment coefficient; Investment intensity = total land area of ​​highway project / project investment; Proportion of cultivated land = area of ​​cultivated land covered by the project / total land area*100; The land area of ​​a single intersection project = the area of ​​all intersection projects and the number of intersection projects; The land area of ​​a single toll station = the sum of the land areas of all toll stations / the number of toll stations; The land area of ​​a single service area = the land area of ​​all service areas / the number of service areas; In the above formula, the parameter on the left side of the expression is the land-saving index value, and the parameter on the right side of the expression is the specified land-saving level analysis index; S802) The land-saving index value is matched with the corresponding rule in the rule knowledge base. If all the land-saving index values ​​satisfy the corresponding rule, the weight of each land-saving index value is calculated by the entropy weight method, and then each land-saving index value is weighted and summed, and the result of the weighted sum is used as the land-saving level analysis result.

10. A highway intelligent site selection and evaluation system, characterized in that: It comprises a microprocessor and a computer-readable storage medium connected to each other, wherein the microprocessor is programmed or configured to execute the highway intelligent site selection and evaluation method as described in any one of claims 1 to 9.

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