CN115618549A

CN115618549A - Airport site selection method and device and electronic equipment

Info

Publication number: CN115618549A
Application number: CN202111288375.9A
Authority: CN
Inventors: 何尧; 舒富民; 孙俊; 郭涛; 郑皓文
Original assignee: Southwest Design And Research Institute Of Civil Aviation Airport Construction Group Co ltd
Current assignee: Southwest Design And Research Institute Of Civil Aviation Airport Construction Group Co ltd
Priority date: 2021-11-02
Filing date: 2021-11-02
Publication date: 2023-01-17

Abstract

The invention provides an airport site selection method, an airport site selection device and electronic equipment, relates to the technical field of airports, and solves the problems that the existing airport site selection scheme evaluation and site selection space analysis and decision are not perfect, the quantification work is insufficient, and the visual expression is lacked. The airport site selection method comprises the following steps: constructing a GIS model and an evaluation index system of an airport site selection area, and dividing the evaluation index system into a target layer, a factor layer and an index layer; collecting data of the factor layer and the index layer to form single-factor suitability evaluation; determining the weight of the factor layer and/or the index layer data; and superposing the weights based on a GIS model to form suitability evaluation classification of the airport site selection area. The airport site selection device is applied to the airport site selection method. The airport site selection method is applied to electronic equipment.

Description

Airport site selection method and device and electronic equipment

Technical Field

The invention relates to the technical field of airports, in particular to an airport site selection method, an airport site selection device, electronic equipment and a computer readable storage medium.

Background

The airport site selection work is the first work of airport construction, the conventional site selection method at present depends on manual judgment on a topographic map, comparison is carried out by combining various factors subjectively, and due to lack of systematicness, quantification and scientificity, the problems of missed site selection, misjudgment, even misselection and the like are easily caused.

Based on the above problems, in recent years, research on airport site selection has focused on the categories of multi-scheme decision site selection methods, site evaluation systems, site local optimization and the like. For example, liu photo adopts a multi-objective genetic algorithm to evaluate and optimize the position scheme of a single site; julaihui et al adopts a fuzzy analytic hierarchy process to perform scheme evaluation on the selected site; li Mingjie et al adopts a mutation evaluation method to establish a hierarchical airport site selection evaluation index system to obtain a mutation evaluation value of the rationality and sustainability of airport site selection; lukunjing et al established an airport location comprehensive evaluation model based on a principal component analysis method, and converted a plurality of airport location influence indexes into new variables for evaluation.

The research promotes the application of quantitative site selection, but the evaluation of a site selection scheme and the analysis and decision of a site selection space are not perfect, and the quantitative application in the space field is lacked. In addition, the research is mostly analyzed by a mathematical model, and the practical operability is not strong. And the traditional addressing decision evaluation mathematical model is inconvenient for effectively organizing multi-source related data for comprehensive analysis, and cannot provide an intuitive and interactive analysis tool for decision-making personnel.

Disclosure of Invention

The invention aims to provide an airport addressing method, an airport addressing device, electronic equipment and a computer readable storage medium. The problems of incomplete evaluation of site selection schemes and site selection space analysis decisions, insufficient quantification work and lack of visual expression in the prior airport site selection scheme are solved.

An airport site selection method, comprising:

step 1: constructing a GIS model and an evaluation index system of an airport site selection area, and dividing the evaluation index system into a target layer, a factor layer and an index layer;

step 2: collecting data of the factor layer and the index layer to form single-factor suitability evaluation;

and step 3: determining the weight of the factor layer and/or the index layer data;

and 4, step 4: and superposing the weights based on a GIS model to form suitability evaluation classification of the airport site selection area.

Preferably, the factor layer comprises: a city planning suitability factor, a terrain suitability factor, and a flight suitability factor.

Preferably, step 2: collecting factor layer and indicator layer data to form a single factor suitability assessment comprising: and vectorizing and rasterizing the data of the factor layer and the data of the index layer to form single-factor suitability evaluation.

Preferably, step 3: determining weights for factor layers and/or index layers, including:

step 301: constructing a judgment matrix;

step 302: obtaining a feature vector and a consistency ratio of a judgment matrix;

step 303: and judging whether the consistency ratio is less than 0.1, and when the consistency ratio is less than 0.1, obtaining the weight of the factor layer and/or the index layer.

Preferably, obtaining weights for the factor layer and/or the index layer comprises: weights for the factor layer and/or the index layer are obtained based on the analytic hierarchy process.

Compared with the prior art, the airport site selection method provided by the invention has the advantages that firstly, a GIS model and an evaluation index system of an airport site selection area are constructed, and the evaluation index system is divided into three grades, namely a target layer, a factor layer and an index layer. According to the method and the system, a large amount of geographic information data can be fused by establishing a GIS model, and each inch of land in the site selection range is evaluated in an all-round manner. The single-factor suitability evaluation is formed by collecting the factor layer and the index layer data, namely, the single-factor suitability evaluation is formed by carrying out grading arrangement and fusion on the factors influencing the airport site selection, and the visualization of the spatial layout of the suitable airport site selection area is realized. Meanwhile, the suitability evaluation classification of the airport site selection area is formed by determining the weights of the data of the factor layer and/or the data of the index layer and performing multi-factor superposition on the weights based on a GIS model, and the problems of insufficient evaluation of the airport site selection scheme and site selection space analysis decision and insufficient quantification work at present are solved.

The invention also provides an airport site selection device. The device comprises:

the system comprises a construction module, a data processing module and a data processing module, wherein the construction module is used for constructing a GIS (geographic information system) model and an evaluation index system of an airport site selection area, and dividing the evaluation index system into three grades, namely a target layer, a factor layer and an index layer;

the data collection module is used for collecting the data of the factor layer and the data of the index layer to form single-factor suitability evaluation;

the weight determining module is used for determining the weight of the factor layer and/or the index layer;

and the weight superposition module is used for superposing the weights based on the GIS model so as to form suitability evaluation classification of the airport site selection area.

Preferably, the data collection module comprises: and the vectorization and rasterization unit is used for vectorizing and rasterizing grading the data of the factor layer and the index layer to form the single-factor suitability evaluation.

Compared with the prior art, the beneficial effects of the airport location device provided by the invention are the same as the beneficial effects of the airport location method in the technical scheme, and are not repeated herein.

The invention also provides electronic equipment. The electronic device comprises a bus, a transceiver (a display unit/an output unit, an input unit), a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the transceiver, the memory and the processor are connected through the bus, and the computer program realizes the steps of any one of the airport addressing methods when executed by the processor.

Compared with the prior art, the beneficial effects of the electronic equipment provided by the invention are the same as the beneficial effects of the airport location method in the technical scheme, and are not repeated herein.

The invention also provides a computer readable storage medium. The storage medium has a computer program stored thereon, which when executed by the processor implements the steps of an airport addressing method as described in any one of the above.

Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the invention are the same as the beneficial effects of the airport location method in the technical scheme, and are not repeated herein.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart illustrating an airport location method according to an embodiment of the present invention;

FIG. 2 is a flow chart of constructing a GIS model of an airport siting area according to an embodiment of the present invention;

FIG. 3 illustrates a flow chart for determining factor layer and/or index layer data weights provided by an embodiment of the present invention;

FIG. 4 is a diagram illustrating a physical buffer provided by an embodiment of the invention;

FIG. 5 is a schematic diagram illustrating an airport siting area provided by an embodiment of the present invention;

FIG. 6a is a schematic diagram illustrating a single-factor evaluation result of a straight-line distance between an airport and a siting center according to an embodiment of the present invention;

FIG. 6b is a schematic diagram showing the distance single-factor evaluation result of the airport radiation important town provided by the embodiment of the invention;

FIG. 6c is a schematic diagram showing a single-factor evaluation result of distances between an airport and a highway or a high-speed railway provided by the embodiment of the invention;

FIG. 7a is a diagram illustrating a result of a single-factor evaluation of a terrain slope provided by an embodiment of the invention;

FIG. 7b is a diagram illustrating a single-factor evaluation result of elevation and altitude provided by an embodiment of the present invention;

FIG. 8a is a schematic diagram illustrating the result of single-factor suitability evaluation of distance of peripheral airports, according to an embodiment of the present invention;

FIG. 8b is a graph showing the results of a single factor suitability assessment of the surrounding population provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram illustrating an airport location area adaptability evaluation classification result provided by an embodiment of the present invention;

fig. 10 is a schematic structural diagram illustrating an airport location apparatus according to an embodiment of the present invention;

fig. 11 is a schematic structural diagram of an electronic device for performing an airport location method according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiment of the present invention is clearly and completely described below with reference to the drawings in the embodiment of the present invention. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The "plurality" mentioned in the present embodiment means two or more. "and/or" describes the association relationship of the associated object, indicating that there may be three relationships, for example, a and/or B, which may indicate: a is present alone, A and B are present simultaneously, and B is present alone. The terms "exemplary" or "such as" are used herein to mean serving as an example, instance, or illustration, and are intended to present concepts in a concrete fashion, and should not be construed as preferred or advantageous over other embodiments or designs.

In recent years, through the combing of airport site selection research and GIS-based site selection research at home and abroad, quantitative evaluation is the trend of airport site selection, but the existing research has more mathematical model analysis, cannot carry out visual evaluation through superposition of geographic information, cannot provide visual and interactive analysis tools for decision-makers, and cannot carry out mathematical construction on airport site selection and then realize model.

Based on the above problems, embodiments of the present invention provide an airport location method, an airport location device, an electronic device, and a computer-readable storage medium.

Fig. 1 shows a flowchart of an airport location method according to an embodiment of the present invention. As shown in fig. 1, the airport siting method includes:

step 1: and constructing a GIS model and an evaluation index system of the airport site selection area, and dividing the evaluation index system into three grades, namely a target layer, a factor layer and an index layer.

As a possible implementation manner, fig. 2 shows a flowchart of constructing a GIS model of an airport siting area according to an embodiment of the present invention. As shown in fig. 2, the method for constructing the GIS model of the airport location area includes:

step 101: and (5) constructing geographic information.

Because many basic projects which influence construction investment, such as earth and rockfill, foundations, side slopes and the like of the airport depend on the landform conditions of an airport site selection area, DEM (digital elevation model) landform data can be collected firstly, and then conversion parameters with strong correlation with airport layout are selected through data fusion conversion. For example, the standard deviation of the terrain elevation, the terrain slope, the elevation parameter and the like are used as geographic information indexes of the airport siting area.

Step 102: and (5) constructing a physical buffer area.

FIG. 4 shows a schematic diagram of a constructed physical buffer. As shown in fig. 4, based on the re-classification and buffer function of the GIS, the point entity 10, the line entity 20, and the plane entity 30 can be selected according to the form to which the single factor analysis object belongs. Strip buffers are automatically created around them at a distance to identify the extent or degree of influence of the entity or subject on nearby objects.

As shown in fig. 4, taking the dot entity 10 as an example, the buffer area is divided at a certain distance around the dot entity 10 and can be divided into an adjacent buffer area 11, a middle buffer area 12 and a peripheral buffer area 13. Similarly, the presentity 20 is divided into a proximity buffer 21, a middle buffer 22 and a peripheral buffer 23 at a certain distance. The periphery of the face entity 30 is divided into a proximity buffer 31, a middle buffer 32 and a peripheral buffer 33 at a certain distance.

The divided buffers represent different degrees of influence of the entities respectively. And for space geographic information elements influencing airport site selection, such as expressways, high-speed railways, town planning areas, nearby airport points and the like, construction of buffer areas can be formed by reclassifying the influence degrees through entity conversion of original data.

Step 103: and constructing a multi-factor superposition model.

Based on the reset analysis function of the GIS, the layers of the single-factor evaluation objects influencing airport site selection are overlapped, or the space corresponding correlation between the objects is established, so that the multiple attribute characteristics of the space region are generated. And the spatial region obtained after the classification weight superposition is used is the final multi-factor superposition classification result.

As a possible implementation manner, in constructing and processing a GIS model, a set of airport location evaluation index system may be established first, as shown in table 1. And mining and acquiring index data in the evaluation index system. The influence factors influencing the position of the airport siting area are numerous. Therefore, the evaluation index system is divided into three levels, namely a target layer, a factor layer and an index layer.

TABLE 1 evaluation index System

As shown in table 1, in the embodiment of the present invention, the factor layer is configured into a corresponding index frame according to the target layer, and a suitable index layer is selected from the factor layer to represent each condition, so as to form a stepped addressing evaluation system.

As shown in table 1, the first level target layer includes an addressing evaluation index system. The second level factor layer includes a city planning suitability factor, a terrain suitability factor, and a flight suitability factor. The third level index layer comprises: the distance between an airport and a site selection center city, the distance between a radiation important town, the distance between the airport and a highway and a high-speed railway, and a three-zone three-line strict control area of the town; terrain gradient coefficient and terrain elevation coefficient; distance of peripheral airports, peripheral entrances.

Further, the following describes in detail the factor layer that affects airport siting.

Exemplary, such as a city planning suitability factor. Considering the planning factors influencing the layout of the airport, the key points are to combine the influence of the airport on the city and the quality of matching conditions. Thus airports cannot be too close to a central city nor too far away. According to the conventional site selection specification, the moderate distance of the airport from the city at the center of the site selection is 15 kilometers from the planned red line of the city. However, due to the problems of unexpected city development, less and less available city, noise influence of airports and the like, the suitable distance of an actual airport from a central city of a site selection, particularly a hub airport, often exceeds the number. In addition, distances of airports from major towns around central cities, particularly new regions, satellite cities and important parties, are also important considerations. The distance between the periphery of the site selection area and the highway and the high-speed railway reflects the traffic accessibility, and indirectly reflects the feasibility of building a comprehensive traffic network by utilizing an airport and the investment difference of matching condition access. Three-area three-line of cities and towns is the kernel controlled by a space planning system, the layout of airports is in accordance with the existing territorial space management and control as much as possible, ecological red lines, basic farmland and town development boundaries are not touched as much as possible, and the three-area three-line airport is in accordance with the upper-level planning of the local.

Exemplary, such as a terrain suitability factor. It can be understood that, since the complexity of the terrain causes problems of large earth and rockwork amount, large foundation treatment amount, poor clearance condition and the like, corresponding indexes are required to reflect the terrain condition. Through the analysis of the parameters of the convertible terrain data, the coefficient most relevant to the earth and rock volume of the airport is the terrain elevation coefficient which is close to 1, and simultaneously, the fluctuation degree of the ground is reflected, and the size of the engineering volume is directly determined; the correlation between the terrain gradient coefficient and the earth and stone volume also reaches above 0.8, which shows that the terrain condition of the site can be judged through the terrain gradient coefficient. The terrain elevation, such as altitude elevation, is a factor which has important influence on airport construction and airplane performance, high altitude means mountain land or plateau landform, construction investment is relatively large, plateau airports often have stricter management standards, and airplanes also face difficult problems such as performance attenuation. Therefore, according to the landform and the altitude range of the site selection area, sites with good landform conditions and moderate altitude are selected in a targeted mode.

Exemplary, such as a flight suitability factor. It will be appreciated that the flight suitability factor is divided into two aspects, one being the radiation service condition at the airport and one being the airspace condition. Airport flight conditions should take into account the surrounding population of radiation and the surrounding airports, and if there are overlapping service areas near airports and the population density in the remaining areas is low, the necessity of reflecting the spatially arranged airports is insufficient. The airspace condition reflects the resources of air flight, and surrounding civil airports, military airports and training airspace may have influence on newly-built airports in the region. Taken together, the introduction population data and airspace data may approximately reflect the spatial fitness of the flight.

Step 102: and collecting the factor layer data and the index layer data to form single-factor suitability evaluation.

It should be noted that, in step 101, indexes corresponding to the factor layer and the index layer are listed. City planning suitability factors, terrain suitability factors and flight suitability factors in the factor layer are collected first. Since the city planning suitability factors which are already stated in the step 101 comprise the distance between an airport and a site selection center city, the distance between a radiation important town, the distance between the airport and a highway, a high-speed railway and a strict control area of three-area three-line of the town; the terrain suitability factor comprises a terrain gradient coefficient and a terrain elevation coefficient; flight suitability factors include distance to surrounding airports and surrounding population. Thus, data in the index layer is also collected at the same time. Vectorizing the collected data of the factor layer and the index layer, and rasterizing and grading to form single-factor suitability evaluation, have visual analysis conditions and realize visual expression.

Step 103: weights for factor layer and/or index layer data are determined.

It should be noted that, for the quantification of the weight, the embodiment of the present invention performs weight classification on the evaluation factor by using an Analytic Hierarchy Process (AHP). The method combines quantitative analysis and qualitative analysis, judges the relative importance degree of each measurement target by the experience of a decision maker, and reasonably gives the weight of a factor.

Illustratively, for different types of target layers having the same factor layer, two-by-two comparison of the indexes may be performed according to the transitivity rule of the importance degree of the influence factor in different targets, so as to obtain the values of other elements of the determination matrix.

FIG. 3 is a flow chart illustrating determining factor layer and/or index layer data weights provided by an embodiment of the present invention. As shown in fig. 3, the method includes:

step 301: and constructing a judgment matrix.

It should be understood that since all factors are compared pairwise, i.e., the relative importance weights of pairwise of the original factors are compared. Illustratively, if the importance of the ith element is compared to the jth element, then the relative weight p of the number quantization is used _i,j To describe, the relative weight p _i,j ＝a _i,j /a _j,i Wherein p is _i, j is a relative weight, a _i,j And is a _j,i The significance of each two factors can be determined according to the significance of the two factors. Scale a _i,j And a _j,i Is in the range of 1-9, scale a _i,j And a _j,i The value of (A) is different with the comparison elementBut is different. By making a pair of scales a _i,j And a _j,i And carrying out assignment to form a judgment matrix. For example, assuming that a total of n elements are involved in the comparison, a decision matrix a is formed as shown in equation (1).

Wherein A is a judgment matrix, p _i,j Is relative weight, i is less than or equal to n, j is less than or equal to n, and n is a positive integer.

Step 302: and obtaining the feature vector and the consistency ratio of the judgment matrix A.

After the judgment matrix a is constructed according to the above step 301, the characteristic vector value and the maximum characteristic root λ of the judgment matrix a are calculated. The decision matrix for the simultaneous pair-wise comparison is not usually a uniform matrix, but in order to use its eigenvector corresponding to the eigenroot λ as the weight vector of the compared factor, the degree of non-uniformity needs to be within an allowable range. Therefore, it is necessary to perform a consistency check, and the following consistency index CI is introduced, see formula (2).

Wherein, lambda is the maximum characteristic root, CI is the consistency index, and n is a positive integer.

If the consistency index CI is 0, the consistency index is an consistent array. The larger the CI, the more the degree of inconsistency of the matrix becomes. In order to determine the allowable range of the matrix inconsistency, a criterion for measuring the consistency index CI of the matrix needs to be found. Thus introducing a random consistency index RI. The ratio of the consistency index CI to the random consistency index RI of the same order is called the consistency ratio CR, see formula (3), and when the consistency ratio CR is less than 0.1, the consistency test is satisfied. Otherwise, according to survey analysis and demand characteristics, implementing expert scoring or individual setting, and reconstructing a judgment matrix of the factor importance degree.

Wherein, CI is consistency index, RI is random consistency index of the same order, and CR is consistency ratio.

The feature vectors and the inspection conditions of different addressing targets are obtained through the calculation of the formulas (1) and (3), the weight of the factor layer can be obtained through an AHP analytic hierarchy process, and the weight is adopted for the next work. And if the index layer needs to carry out sub-weight dereferencing, independently constructing a judgment matrix and calculating the weight of the index layer according to the method. And then, the weights of the index layer and the factor layer are fused to form a mathematical and chemical analysis result.

It should be noted that, in step 4, feature vectors and inspection conditions of different addressing targets are obtained through calculation of the formulas (1) to (3), and then the weight of the factor layer can be obtained through an AHP analytic hierarchy process. And if the index layer needs to carry out sub-weight dereferencing, independently constructing a judgment matrix and calculating the weight of the index layer according to the method. And (3) after the weight is determined, generating comprehensive spatial layout suitability evaluation of the site selection area by adopting the GIS model constructed in the step (1) and combining the weights of the factor layer and the index layer according to a GIS model map superposition technology, and further performing site selection work of the airport in a targeted manner.

Compared with the prior art, the airport siting method provided by the invention comprises the steps of firstly constructing a GIS model and an evaluation index system of an airport siting area, and dividing the evaluation index system into three grades, namely a target layer, a factor layer and an index layer. According to the method and the system, a large amount of geographic information data can be fused by establishing a GIS model, and each inch of land in the site selection range is evaluated in an all-round manner. The single-factor suitability evaluation is formed by collecting the data of the factor layer and the index layer, namely, the single-factor suitability evaluation is formed by carrying out grading arrangement and fusion on factors influencing airport site selection, and the visualization of the spatial layout of the suitable airport site selection area is realized. Meanwhile, the suitability evaluation classification of the airport site selection area is formed by determining the weights of the data of the factor layer and/or the data of the index layer and performing multi-factor superposition on the weights based on a GIS model, and the problems of insufficient evaluation of the airport site selection scheme and site selection space analysis decision and insufficient quantification work at present are solved.

The application of the model is illustrated below by a practical case. The second airport is planned in the provincial city Kunming city of the southwest region. The airport location is international hub airport and large civil transport airport, and the airport service range is required to cover Yunnan city circle with the city as the center. The city circle has 6 major towns, 4 existing airports. The landform condition of the site selection area is complex, mainly mountainous regions, and the elevation is concentrated in 1000-4000 meters. Figure 5 shows a schematic view of an airport siting area.

For the evaluation indexes influencing airport siting represented by the model, influence grading is firstly carried out on the types of target layers to determine siting preference under different targets, and then classification of factor importance degrees is constructed. The attribute of the object is mountain hub airport, and the influence factors n =3, i are city planning suitability factor, terrain suitability factor and flight suitability factor in sequence from 1 to 3. According to investigation analysis and demand characteristics, considering that the importance degree of the airport consideration of the type is city planning suitability factor > terrain suitability factor > flight suitability factor, investigating the judgment value to obtain an evaluation value, constructing a judgment matrix of the influence of the factors on site selection according to an expression (1) as A3, and finding out an expression (4):

and calculating parameters such as the eigenvector ξ and the maximum eigenvalue λ of the judgment matrix A3.

TABLE 2 analytic hierarchy Process-based factor layer weight calculation results

As can be seen from table 2, a 3-order decision matrix a is constructed for 3 items in total of the city planning suitability factor, the terrain suitability factor, and the flight suitability factor ₃ In the AHP hierarchy study, the eigenvector obtained by analysis is ξ = (1.505, 0.769, 0.726), and the weight values corresponding to 3 items in total are respectively: 0.50163,0.25621,0.24216. The maximum eigenroot λ can be calculated in conjunction with the eigen vectors as 3.054, followed by a CI value of 0.027 using the maximum eigen root value calculation, for use in the consistency check described below.

A3-order judgment matrix is constructed in the research, the RI value of random consistency is 0.520 through query, the RI value is used for consistency check calculation, and the result is shown in a table 3.

Table 3 summary of consistency test results

Maximum characteristic root λ	CI value	RI value	CR value	Consistency test results
					3.054	0.027	0.520	0.052	By passing

The calculated CR values are 0.052-Ap (0.1), which means that the judgment matrix of the research meets the consistency test, and the calculated weights have consistency.

Similarly, according to the AHP hierarchical analysis method, a 3-level index layer is obtained, for example: the sub-weights of the traffic distance, main urban distance, large town distance, the results are shown in table 4. And calculating comprehensive weight according to the weight of the factor layer and the index layer, and obtaining a result shown in a table 5.

Table 4 index layer weight calculation results based on analytic hierarchy process

TABLE 5 hub airport siting impact factor integrated weight calculation

For the suitability evaluation of each single factor, the analysis uniformly grades the evaluation value into 1-5 grades. Of these, grade 1 is totally unfavorable, grade 2 is basically unfavorable, grade 3 is general, grade 4 is basically favorable, and grade 5 represents the optimum construction. The single factor evaluation ranking principle is shown in tables 6, 7 and 8 below. The evaluation results are shown in FIGS. 6a to 6c, FIGS. 7a to 7b and FIGS. 8a to 8b. Fig. 6a shows a schematic diagram of a single-factor evaluation result of a straight-line distance between an airport and a site selection center provided by the embodiment of the present invention, fig. 6b shows a schematic diagram of a single-factor evaluation result of a distance between an airport radiation important town provided by the embodiment of the present invention, and fig. 6c shows a schematic diagram of a single-factor evaluation result of a distance between an airport and a highway (high speed railway) provided by the embodiment of the present invention. Fig. 7a is a schematic diagram illustrating a single-factor evaluation result of a terrain slope provided by an embodiment of the invention, and fig. 7b is a schematic diagram illustrating a single-factor evaluation result of an elevation provided by an embodiment of the invention. Fig. 8a is a schematic diagram illustrating the result of single-factor suitability evaluation of distance of a peripheral airport according to an embodiment of the present invention, and fig. 8b is a schematic diagram illustrating the result of single-factor suitability evaluation of a peripheral population according to an embodiment of the present invention.

TABLE 6 City planning suitability Single factor evaluation

TABLE 7 terrain fitness Single factor evaluation

TABLE 8 Single factor evaluation of flight suitability

Finally, an unselected space is established for the space, and the unselected limiting area is eliminated. And after the single-factor evaluation is finished, carrying out spatial weighted superposition on the factor layer weight and the index layer weight obtained based on the analytic hierarchy process to form the layer superposition of a plurality of geographic objects so as to generate multiple attribute characteristics of a spatial region or establish spatial corresponding correlation between the geographic objects, and finally obtaining a classification result of the spatial layout.

Fig. 9 is a schematic diagram illustrating an airport addressing area adaptability evaluation classification result according to an embodiment of the present invention. It can be directly seen from the final evaluation classification result fig. 9 that the areas with better airport layout are concentrated in the west and south areas of the city circle, and can be used as the key airport layout areas. And the central range of the city, the area close to the existing airport and the area with poor terrain and location conditions are unsuitable site selection areas and can be directly eliminated. The result of the case reduces the range of the key site selection, reduces the workload of site selection analysis, and can more scientifically guide the selection of the airport site position.

As shown in fig. 10, an airport location apparatus is further provided in the embodiments of the present invention. The device comprises: the building module 110 is used for building a GIS model and an evaluation index system of an airport site selection area, and dividing the evaluation index system into a target layer, a factor layer and an index layer; a data collection module 120 for collecting the factor layer and the indicator layer data to form a single factor suitability evaluation; a weight determination module 130 for determining weights of the factor layer and/or the index layer; and the weight superposition module 140 is used for superposing the weights based on the GIS model so as to form suitability evaluation classification of the airport site selection area.

Preferably, the data collection module 120 includes: and a vectorization and rasterization unit 1200, configured to perform vectorization and rasterization classification on the factor layer and the index layer data to form a single-factor suitability evaluation.

Preferably, the weight determining module 130 includes: a judgment matrix construction unit 1301 configured to construct a judgment matrix; a judgment matrix parameter unit 1302, configured to obtain a feature vector and a consistency ratio of a judgment matrix; and a weight obtaining unit 1303, configured to obtain weights of the factor layer and/or the index layer when the consistency ratio is less than 0.1, and otherwise, reconstruct the determination matrix.

Preferably, the weight obtaining unit 1303 includes: a hierarchy analysis component 13031 for obtaining weights for factor layers and/or index layers based on a hierarchy analysis method.

In addition, an embodiment of the present invention further provides an electronic device, which includes a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, where the transceiver, the memory, and the processor are connected via the bus, and when the computer program is executed by the processor, the processes of the above-mentioned embodiment of the airport location method are implemented, and the same technical effects can be achieved, and are not described herein again to avoid repetition.

Specifically, referring to fig. 11, an embodiment of the present invention further provides an electronic device, which includes a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.

In an embodiment of the present invention, the electronic device further includes: a computer program stored on the memory 1150 and executable on the processor 1120, the computer program when executed by the processor 1120 performs the processes of one of the airport addressing method embodiments described above.

A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.

In embodiments of the invention in which a bus architecture (represented by bus 1110) is used, bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits including one or more processors, represented by processor 1120, and memory, represented by memory 1150.

Bus 1110 represents one or more of any of several types of bus structures, including a memory bus, and memory controller, a peripheral bus, an Accelerated Graphics Port (AGP), a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include: an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a Video Electronics Standards Association (VESA), a Peripheral Component Interconnect (PCI) bus.

Processor 1120 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits in hardware or instructions in software in a processor. The processor described above includes: general purpose processors, central Processing Units (CPUs), network Processors (NPs), digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs), complex Programmable Logic Devices (CPLDs), programmable Logic Arrays (PLAs), micro Control Units (MCUs) or other Programmable Logic devices, discrete gates, transistor Logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. For example, the processor may be a single core processor or a multi-core processor, which may be integrated on a single chip or located on multiple different chips.

Processor 1120 may be a microprocessor or any conventional processor. The steps of the method disclosed in connection with the embodiments of the present invention may be directly performed by a hardware decoding processor, or may be performed by a combination of hardware and software modules in the decoding processor. The software modules may be located in a Random Access Memory (RAM), a flash Memory (flash Memory), a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), a register, and other readable storage media known in the art. The readable storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

The bus 1110 may also connect various other circuits such as peripherals, voltage regulators, or power management circuits to provide an interface between the bus 1110 and the transceiver 1130, as is well known in the art. Therefore, the embodiments of the present invention will not be further described.

The transceiver 1130 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 transmits data processed by the processor 1120 to other devices. Depending on the nature of the computer system, a user interface 1160 may also be provided, such as: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.

It is to be appreciated that in an embodiment of the invention, the memory 1150 may further include remotely located memory relative to the processor 1120, such remotely located memory may be coupled to the server via a network. One or more portions of the above-described networks may be an ad hoc network (ad hoc network), an intranet (intranet), an extranet (extranet), a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless Local Area Network (WLAN), a Wide Area Network (WAN), a Wireless Wide Area Network (WWAN), a Metropolitan Area Network (MAN), the Internet (Internet), a Public Switched Telephone Network (PSTN), a plain old telephone service network (POTS), a cellular telephone network, a wireless fidelity (Wi-Fi) network, and combinations of two or more of the above. For example, the cellular telephone network and the wireless network may be a global system for mobile Communications (GSM) system, a Code Division Multiple Access (CDMA) system, a Worldwide Interoperability for Microwave Access (WiMAX) system, a General Packet Radio Service (GPRS) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, an advanced long term evolution (LTE-a) system, a Universal Mobile Telecommunications (UMTS) system, an enhanced mobile Broadband (eMBB) system, a mass Machine Type Communication (mtc) system, an ultra reliable Low Latency Communication (urrllc) system, or the like.

It will be appreciated that the memory 1150 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-Only Memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), or Flash Memory.

The volatile memory includes: random Access Memory (RAM), which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), enhanced Synchronous DRAM (ESDRAM), synchronous link Dynamic random access memory (Synchlink DRAM, SLDRAM), and direct memory bus random access memory (DRRAM). The memory 1150 of the electronic device described in connection with the embodiments of the invention includes, but is not limited to, the above-described and any other suitable types of memory.

In an embodiment of the present invention, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an expanded set thereof.

Specifically, the operating system 1151 includes various system programs such as: a framework layer, a core library layer, a driver layer, etc. for implementing various basic services and processing hardware-based tasks. Applications 1152 include various applications such as: media Player (Media Player), browser (Browser), used to implement various application services. Programs that implement methods in accordance with embodiments of the present invention can be included in application programs 1152. The application programs 1152 include: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.

In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements each process of the above-mentioned embodiment of the airport location method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here.

The computer-readable storage medium includes: permanent and non-permanent, removable and non-removable media may be tangible devices that retain and store instructions for use by an instruction execution apparatus. The computer-readable storage medium includes: electronic memory devices, magnetic memory devices, optical memory devices, electromagnetic memory devices, semiconductor memory devices, and any suitable combination of the foregoing. The computer-readable storage medium includes: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), non-volatile random access memory (NVRAM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic tape cartridge storage, magnetic tape disk storage or other magnetic storage devices, memory sticks, mechanically encoded devices (e.g., punched cards or raised structures in a groove having instructions recorded thereon), or any other non-transmission medium useful for storing information that may be accessed by a computing device. As defined in embodiments of the present invention, the computer-readable storage medium does not include transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses traveling through a fiber optic cable), or electrical signals transmitted through a wire.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, electronic device, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electrical, mechanical or other form of connection.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to solve the problem to be solved by the embodiment of the invention.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present invention may be substantially or partially contributed by the prior art, or all or part of the technical solutions may be embodied in a software product stored in a storage medium and including instructions for causing a computer device (including a personal computer, a server, a data center, or other network devices) to execute all or part of the steps of the methods of the embodiments of the present invention. And the storage medium includes various media that can store the program code as listed in the foregoing.

The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and the present invention shall be covered by the claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims

1. An airport site selection method, comprising:

step 1: constructing a GIS model and an evaluation index system of an airport site selection area, and dividing the evaluation index system into three grades of a target layer, a factor layer and an index layer;

step 2: collecting the factor layer and the index layer data to form single factor suitability evaluation;

and step 3: determining the weight of the factor layer and/or index layer data;

and 4, step 4: and superposing the weights based on the GIS model to form suitability evaluation classification of the airport site selection area.

2. An airport siting method according to claim 1,

the factor layer includes: a city planning suitability factor, a terrain suitability factor, and a flight suitability factor.

3. An airport siting method according to any one of claims 1 to 2, characterized in that said step 2: collecting the factor layer and indicator layer data to form a single factor suitability assessment comprising:

and vectorizing and rasterizing the factor layer data and the index layer data to form single-factor suitability evaluation.

4. An airport siting method according to any one of claims 1 to 2, wherein said step 3: determining weights for the factor and/or index layers, including:

step 301: constructing a judgment matrix;

step 302: obtaining a feature vector and a consistency ratio of the judgment matrix;

5. An airport siting method according to claim 4, wherein said obtaining weights of factor and/or index layers comprises:

obtaining the weight of the factor layer and/or the index layer based on an analytic hierarchy process.

6. An airport site selection device, comprising:

and the weight superposition module is used for superposing the weights based on the GIS model so as to form the suitability evaluation classification of the airport site selection area.

7. An airport addressing device of claim 6,

8. An airport siting device according to any one of claims 6 to 7 wherein said data collection module comprises:

and the vectorization and rasterization unit is used for vectorizing and rasterizing the factor layer and the index layer data to form the single-factor suitability evaluation.

9. An electronic device comprising a bus, a transceiver (display unit/output unit, input unit), a memory, a processor and a computer program stored on said memory and executable on said processor, said transceiver, said memory and said processor being connected via said bus, characterized in that said computer program, when executed by said processor, performs the steps of a method for airport addressing as claimed in any one of claims 1 to 5.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of a method for airport addressing as claimed in any one of claims 1 to 5.