National land space planning design evaluation system based on big data

Abstract

The present invention discloses a national land space planning, design and evaluation system based on big data, relates to the field of space planning, solves the problem of low planning efficiency of the existing national land space planning, design and evaluation system, comprises a natural data module, a humanities data module, a regional planning module and a planning evaluation module, the natural data module is used to obtain regional natural data, the humanities data module is used to obtain regional humanities data, the regional planning module is used to perform site selection planning for the planned area according to the regional natural data and the regional humanities data, the planning evaluation module is used to perform regional planning rationality evaluation on the planning result data according to the regional natural data and the regional humanities data, the present invention automatically performs industrial site selection planning and commercial site selection planning for the planned area by obtaining the regional natural data and the regional humanities data, and can effectively improve the regional planning speed.

Description

Technical Field

[0001] The present invention belongs to the field of spatial planning and relates to big data technology, specifically a national land space planning design and evaluation system based on big data. Background Art

[0002] The existing national land space planning system has the following defects:

[0003] 1. In the existing national land space planning, the site selection between industrial and commercial areas is planned by relying on relevant staff, which is easily affected by personal subjective consciousness, experience and prejudice, and may lead to the site selection decision not being objective enough;

[0004] 2. Manual planning of industrial and commercial areas requires a lot of time and human resources, which can easily lead to slow planning and affect the construction progress of the project.

[0005] To this end, we propose a national land space planning, design and evaluation system based on big data. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide a national land space planning, design and evaluation system based on big data. In order to achieve the above-mentioned purpose, the present invention is based on obtaining regional natural data and regional cultural data, and respectively calculates a first regional planning coefficient according to the regional natural data and the regional cultural data, obtains a threshold value of the first regional planning coefficient and compares it numerically with the first regional planning coefficient, divides the area to be planned into a first type of area to be planned and a second type of area to be planned, obtains a second regional planning coefficient corresponding to the second type of area to be planned, and divides the second type of area to be planned from the second type of area to be planned by threshold judgment of the second regional planning coefficient, defines the first type of area to be planned and the third type of area to be planned as planning result data, and performs a regional planning rationality evaluation on the planning result data according to the regional natural data and the regional cultural data.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions: The specific working process of each module of the national land space planning, design and evaluation system based on big data is as follows:

[0008] Natural data module: obtain the area value of the area to be planned, obtain the variance of the cumulative number of days of wind direction, divide the land area to be planned into the first wind direction type area and the second wind direction type area, obtain the regional prevailing wind direction and annual average wind speed values ​​corresponding to the first wind direction type area, obtain the annual average wind speed values ​​corresponding to the second wind direction type area, and obtain regional natural data;

[0009] Humanities data module: obtain the regional traffic accessibility, population density of surrounding areas and map of the area to be planned, and obtain regional humanities data;

[0010] Regional planning module: calculate the first regional planning coefficient according to the regional natural data and the regional humanities data respectively, obtain the first regional planning coefficient threshold and compare the first regional planning coefficient with the first regional planning coefficient, divide the area to be planned into the first type of area to be planned and the second type of area to be planned, obtain the second regional planning coefficient corresponding to the second type of area to be planned, divide the third type of area to be planned from the second type of area to be planned by threshold judgment of the second regional planning coefficient, and define the first type of area to be planned and the third type of area to be planned as planning result data;

[0011] Planning evaluation module: Evaluate the rationality of regional planning based on regional natural data and regional cultural data.

[0012] Furthermore, a database is included, and the data stored in the database also includes a statistical table of annual wind data for national land areas;

[0013] The natural data module acquires regional natural data, as follows:

[0014] Acquire the area data of the land area to be planned by using an area measuring instrument to obtain the area value of the area to be planned;

[0015] The land area to be planned is divided into a first wind direction type area and a second wind direction type area to obtain spatial classification data of wind direction types;

[0016] Obtain the prevailing wind direction and annual average wind speed values ​​corresponding to the first wind direction type area;

[0017] For the second wind direction type area, repeat the above process of obtaining the annual average wind speed value, and obtain the annual average wind speed value corresponding to the second wind direction type area through the national land area annual wind data statistical table;

[0018] The regional prevailing wind direction, the annual average wind speed value and the area value of the area to be planned are defined as regional natural data.

[0019] Furthermore, the natural data module acquires spatial classification data of wind direction types, specifically as follows: acquiring an annual wind force data statistical table of a national territory, and counting the cumulative occurrence days of the first to eighth wind direction types according to the annual wind force data statistical table of a national territory, to obtain the cumulative occurrence days of the first to eighth wind directions;

[0020] The average number of days for the first to eighth wind directions to appear is calculated to obtain the average number of days for the wind direction to appear;

[0021] The variance of the average number of days of wind direction appearance and the cumulative number of days of wind direction appearance from the first to the eighth are calculated respectively to obtain the variance of the cumulative number of days of wind direction appearance;

[0022] Get the variance of the cumulative number of days when the preset wind direction appears;

[0023] When the variance of the accumulated days of wind direction is greater than or equal to the preset variance of the accumulated days of wind direction, it is determined that the land area to be planned is divided into the first wind direction type area;

[0024] When the variance of the accumulated number of days that the wind direction appears is less than the variance of the accumulated number of days that the preset wind direction appears, it is determined that the land area to be planned is divided into the second wind direction type area.

[0025] Furthermore, the natural data module obtains the prevailing wind direction and the average wind speed value of the region corresponding to the first wind direction type region, as follows:

[0026] A plane histogram is established with the first to eighth wind direction types as the horizontal coordinates and the cumulative number of days of the first to eighth wind directions as the vertical coordinates to obtain a distribution histogram of the number of days of wind direction types;

[0027] In the distribution histogram of wind direction type days, the histograms corresponding to the first to eighth wind direction types are marked as the first to eighth wind direction histograms, and the wind force type appearance baseline is marked in the distribution histogram of wind direction type days, and the wind direction type corresponding to the wind direction histogram above the wind force type appearance baseline is defined as the regional prevailing wind direction;

[0028] According to the annual wind data statistics table of the national land area, m wind direction monitoring time points are selected respectively, and the wind moving speeds corresponding to the m wind direction monitoring time points are obtained respectively, and m monitored prevailing wind moving speeds are obtained. The average of the m monitored prevailing wind moving speeds is calculated to obtain the annual average wind speed value.

[0029] Furthermore, it also includes a database, and the data stored in the database also includes a road distribution map of the area to be planned;

[0030] The humanities data module acquires regional humanities data, as follows:

[0031] Obtain the regional traffic accessibility corresponding to the area to be planned;

[0032] The details are as follows:

[0033] With the geometric center point of the planned area as the center and the preset traffic radiation distance as the radius, a traffic planning analysis area is established;

[0034] Obtain a road distribution map of the area to be planned, mark the traffic planning analysis area on the road planning map of the area to be planned, and obtain a road marking area;

[0035] Count the number of roads passing through the road marking area to obtain the number of passing roads;

[0036] Mark every intersection of two or more roads in the road marking area as a road intersection point, count the number of road intersection points in the road marking area, and obtain the number of regional road intersection points;

[0037] The regional traffic accessibility is obtained by calculating the number of traversing roads and the number of regional road intersections;

[0038] Obtain the population density of the surrounding area corresponding to the area to be planned;

[0039] The map of the area to be planned, the population density of the surrounding area, and the regional traffic accessibility are marked as regional cultural data.

[0040] Furthermore, the humanities data module obtains the population density of the surrounding area, as follows:

[0041] Obtain a map of the area to be planned, mark the regional population analysis distance in the map of the area to be planned, and create a regional population analysis circle with the geometric center of the area to be planned as the center and the regional population analysis distance as the radius;

[0042] Obtain regional natural data, obtain the area value of the area to be planned based on the regional natural data, and calculate the area value of the population analysis area by combining the regional population analysis distance and the area value of the area to be planned;

[0043] Mark the regional population analysis circles on the map of the area to be planned to overlap and obtain the environment overlapping mark area, obtain the number of residential areas in the environment overlapping mark area according to the map of the area to be planned, and mark them as the first to the i-th residential areas, respectively, obtain the house occupancy rates corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th house occupancy rates, and obtain the population carrying capacity corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th population carrying capacity;

[0044] The area value of the population analysis area, the occupancy rates of the first to the ith houses and the first to the ith population carrying capacity are calculated to obtain the population density of the surrounding area.

[0045] Furthermore, the regional planning module obtains planning result data as follows:

[0046] Obtain regional natural data, and obtain the area value and annual average wind speed value of the planned area based on the regional natural data;

[0047] Obtain regional humanities data, and obtain the population density of the surrounding areas and regional traffic accessibility based on the regional humanities data;

[0048] Get the base area value of the area to be planned;

[0049] The first regional planning coefficient is obtained by calculating the area value of the area to be planned, the base area value of the first area to be planned, the population density of the surrounding area and the regional traffic accessibility;

[0050] Obtaining a first area planning coefficient threshold, and comparing the first area planning coefficient with the first area planning coefficient threshold, and dividing the area to be planned into a first type of area to be planned and a second type of area to be planned;

[0051] The details are as follows:

[0052] The first area planning coefficient threshold is obtained by calculating the first area planning coefficient threshold by obtaining the first area benchmark area value of the first area to be planned, the first surrounding area benchmark population density and the first area traffic benchmark accessibility through big data;

[0053] When the first area planning coefficient is greater than or equal to the first area planning coefficient threshold, the area to be planned is divided into a first type of area to be planned;

[0054] When the first area planning coefficient is less than the first area planning coefficient threshold, the area to be planned is divided into a second type of area to be planned;

[0055] Further planning is performed on the second type of area to be planned to obtain a third type of area to be planned;

[0056] The planning result data is defined for the areas to be planned corresponding to the first type of planning areas and the third type of planning areas.

[0057] Furthermore, the area planning module further plans the second type of area to be planned to obtain a third type of area to be planned, as follows:

[0058] Obtain the area value of the planned area, the annual average wind speed value, the population density of the surrounding area, and the regional traffic accessibility;

[0059] The second regional planning coefficient is obtained by calculating the area value of the planned area, the annual average wind speed value, the population density of the surrounding area and the regional traffic accessibility;

[0060] Obtain the second benchmark area value of the planned area, the second benchmark population density of the surrounding area, the second benchmark traffic accessibility, and the first benchmark wind speed value throughout the year through big data;

[0061] The second area planning coefficient threshold is obtained by calculating the second area benchmark area value, the second surrounding area benchmark population density, the second area traffic benchmark accessibility and the first annual benchmark wind speed value;

[0062] When the second area planning coefficient is greater than or equal to the second area planning coefficient threshold, the planned area to be planned is the third type of area to be planned.

[0063] Furthermore, the planning evaluation module performs planning evaluation as follows:

[0064] Obtain planning result data;

[0065] The planning assessment for the first type of planning area is as follows:

[0066] In the first type of planning area, j altitude monitoring points are selected and marked as the first to jth altitude monitoring points respectively, and the altitude values ​​corresponding to each altitude monitoring point are obtained by an altitude measuring instrument to obtain the first to ith altitude values;

[0067] Calculate the variance of the first to jth altitude values ​​to obtain the altitude variance;

[0068] Arrange the first to jth altitude values ​​in descending order according to their numerical values ​​to obtain an altitude descending queue, mark the altitude value corresponding to the head of the queue as the regional altitude peak value, and mark the altitude value corresponding to the tail of the queue as the regional altitude valley value;

[0069] The regional terrain relief coefficient corresponding to the first type of planning area is obtained by calculating the altitude variance, the regional altitude peak value and the regional altitude valley value;

[0070] Obtaining a first regional terrain relief coefficient threshold, performing numerical comparison between the regional terrain relief coefficient and the first regional terrain relief coefficient threshold, and performing planning evaluation on the first type of planning area according to the numerical comparison result;

[0071] Obtain the first altitude reference variance and the first altitude reference difference to obtain the regional terrain relief coefficient corresponding to the first type of planning area through calculation;

[0072] When the regional terrain relief coefficient is greater than or equal to the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is unreasonable;

[0073] When the regional terrain relief coefficient is less than the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is reasonable;

[0074] Conduct planning assessment for the second type of planning areas.

[0075] Furthermore, the planning evaluation module performs planning evaluation on the second type of planning area, as follows:

[0076] Obtain regional natural data, and obtain the prevailing wind direction in the region based on the regional natural data;

[0077] Obtain regional humanities data, and obtain a map of the area to be planned based on the regional humanities data;

[0078] In the map of the area to be planned, with the geometric center point of the area to be planned as the center, and with the first wind influence preset distance and the second wind influence preset distance as the radius, respectively, a first wind influence circle and a second wind influence circle are established;

[0079] The prevailing wind direction of the region is marked in the map of the area to be planned by means of a wind direction arrow to obtain the prevailing wind direction arrow, a diameter perpendicular to the prevailing wind direction arrow is obtained in the first wind influence circle, and it is marked as the wind direction vertical diameter, the intersection of the wind direction vertical diameter and the first wind influence circle is obtained, the first wind direction tangent point and the second wind direction tangent point are obtained, two tangents of the first wind influence circle are drawn through the first wind direction tangent point and the second wind direction tangent point respectively, and the first prevailing wind direction tangent line and the second prevailing wind direction tangent line are obtained;

[0080] Marking the area enclosed by the area to be planned, the second wind influence circle, the first prevailing wind direction tangent line and the second prevailing wind direction tangent line in the map of the area to be planned as the prevailing wind influence area;

[0081] If there are residential areas in the area affected by the prevailing wind, the current regional planning is judged to be unreasonable;

[0082] If there is no residential area in the prevailing wind impact area, repeat the process of obtaining the regional terrain relief coefficient corresponding to the first type of planning area and the first regional terrain relief coefficient threshold to obtain the regional terrain relief coefficient corresponding to the second type of planning area and the second regional terrain relief coefficient threshold;

[0083] If the regional terrain relief coefficient is greater than or equal to the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is unreasonable;

[0084] If the regional terrain relief coefficient is less than the second regional terrain relief coefficient threshold, the regional terrain relief assessment is judged to be reasonable.

[0085] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0086] 1. The present invention automatically performs industrial addressing planning and commercial site selection planning for the planned area by acquiring regional natural data and regional cultural data, which can effectively improve the planning speed and project construction progress;

[0087] 2. While carrying out regional planning, the present invention also conducts a rationality assessment on the planning result data, which is more independent and objective than manual planning methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0089] Figure 1 is the overall system block diagram of the present invention;

[0090] Figure 2 It is a diagram of the implementation steps in the present invention;

[0091] Figure 3 The wind direction type day number distribution histogram in the present invention;

[0092] Figure 4 A road distribution map of the area to be planned in the present invention;

[0093] Figure 5 Schematic diagram of the prevailing wind impact area in the present invention. DETAILED DESCRIPTION

[0094] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0095] Embodiment 1

[0096] See also Figure 1 , the present invention provides a technical solution: a national land space planning, design and evaluation system based on big data, comprising a natural data module, a humanities data module, a regional planning module, a planning evaluation module and a server, wherein the natural data module, the humanities data module, the regional planning module and the planning evaluation module are respectively connected to the server;

[0097] The natural data module obtains regional natural data;

[0098] It also includes a database, and the data stored in the database also includes a statistical table of annual wind data for national land areas;

[0099] It should be noted here that:

[0100] The annual wind direction statistics chart of the national territory involved here is the annual wind force data statistics table of the national territory;

[0101] Dividing the area to be planned into a first wind direction type area and a second wind direction type area to obtain wind direction type spatial classification data;

[0102] It should be noted here that:

[0103] There is prevailing wind in the first wind direction type area, but there is no prevailing wind in the second wind direction type area;

[0104] The first wind direction type area and the second wind direction type area are divided as follows:

[0105] The wind directions occurring in the national territory are divided into the first to eighth wind direction types;

[0106] It should be noted here that:

[0107] In the present application, the first wind direction type is east wind, the second wind direction type is west wind, the third wind direction type is south wind, the fourth wind direction type is north wind, the fifth wind direction type is southeast wind, the sixth wind direction type is northeast wind, the seventh wind direction type is southwest wind, and the eighth wind direction type is northwest wind;

[0108] Obtain the annual wind force data statistics table for the national territory, and count the cumulative occurrence days of the first to eighth wind direction types according to the annual wind force data statistics table for the national territory to obtain the cumulative occurrence days of the first to eighth wind directions;

[0109] The average number of days for the first to eighth wind directions to appear is calculated to obtain the average number of days for the wind direction to appear;

[0110] The variance of the average number of days of wind direction appearance and the cumulative number of days of wind direction appearance from the first to the eighth are calculated respectively to obtain the variance of the cumulative number of days of wind direction appearance;

[0111] The variance of the cumulative number of days of wind direction is calculated, and the specific formula configuration is as follows:

[0112]

[0113] Among them, Flf is the variance of the cumulative number of days of wind direction, Fl1 to Fl8 are the cumulative number of days of the first to eighth wind directions, and Flp is the average number of days of wind direction;

[0114] Get the variance of the cumulative number of days when the preset wind direction appears;

[0115] It should be noted here that:

[0116] The cumulative number of days of the preset wind direction mentioned here is a threshold value set for judging whether there is prevailing wind in the planned area. The cumulative number of days of the preset wind direction mentioned here is only applicable to this application. In actual application, it needs to be set accordingly according to the actual situation.

[0117] When the variance of the accumulated days of wind direction occurrence is greater than or equal to the variance of the accumulated days of wind direction occurrence, it is determined that the area to be planned is divided into the first wind direction type area;

[0118] When the variance of the cumulative number of days in which the wind direction appears is less than the variance of the cumulative number of days in which the preset wind direction appears, it is determined that the area to be planned is divided into an area of ​​the second wind direction type;

[0119] It should be noted here that:

[0120] In the present application, the first wind direction type is east wind, the second wind direction type is west wind, the third wind direction type is south wind, the fourth wind direction type is north wind, the fifth wind direction type is southeast wind, the sixth wind direction type is northeast wind, the seventh wind direction type is southwest wind, and the eighth wind direction type is northwest wind;

[0121] Obtain the prevailing wind direction and annual average wind speed values ​​corresponding to the first wind direction type area;

[0122] The details are as follows:

[0123] See also Figure 3 , respectively, using the first to eighth wind direction types as the horizontal coordinates and the cumulative number of days of wind direction occurrence as the vertical coordinates to establish a plane histogram, and obtain a distribution histogram of the number of days of wind direction types;

[0124] In the distribution histogram of wind direction type days, the histograms corresponding to the first to eighth wind direction types are marked as the first to eighth wind direction histograms, and the wind force type appearance baseline is marked in the distribution histogram of wind direction type days, and the wind direction type corresponding to the wind direction histogram above the wind force type appearance baseline is defined as the regional prevailing wind direction;

[0125] For example:

[0126] When the first wind direction column corresponding to the first wind direction type is above the wind force type appearance reference line, the first wind direction type is defined as the regional prevailing wind direction;

[0127] According to the annual wind data statistics table of the national land area, m wind direction monitoring time points are selected respectively, and the wind speed corresponding to the m wind direction monitoring time points is obtained respectively, and m monitoring prevailing wind speeds are obtained. The average of the m monitoring prevailing wind speeds is calculated to obtain the annual average wind speed value;

[0128] It should be noted here that:

[0129] Here, the wind direction detection time points selected for the first wind direction type area are all wind direction detection time points corresponding to the period when the prevailing wind occurs;

[0130] It should be noted here that:

[0131] The m involved here is the number of wind direction detection time points, and m here is a positive integer;

[0132] For the second wind direction type area, repeat the above process of obtaining the annual average wind speed value, and obtain the annual average wind speed value corresponding to the second wind direction type area through the national land area annual wind data statistical table;

[0133] Acquire area data of the area to be planned by using an area measuring instrument to obtain an area value of the area to be planned;

[0134] The prevailing wind direction, annual average wind speed and area of ​​the planned area are defined as regional natural data;

[0135] The natural data module acquires regional natural data and transmits it to the humanities data module, regional planning module, and planning assessment module;

[0136] The humanities data module obtains regional humanities data;

[0137] It also includes a database, and the data stored in the database also includes a road distribution map of the area to be planned;

[0138] Get the regional traffic accessibility corresponding to the area to be planned, as follows:

[0139] With the geometric center point of the planned area as the center and the preset traffic radiation distance as the radius, a traffic planning analysis area is established;

[0140] See also Figure 4 , obtain a road distribution map of the area to be planned, mark the traffic planning analysis area on the road planning map of the area to be planned, and obtain a road marking area;

[0141] Count the number of roads passing through the road marking area to obtain the number of passing roads;

[0142] Mark every intersection of two or more roads in the road marking area as a road intersection point, count the number of road intersection points in the road marking area, and obtain the number of regional road intersection points;

[0143] The regional traffic accessibility is obtained by calculating the number of traversing roads and the number of regional road intersections;

[0144] Calculate the regional traffic accessibility, the specific formula configuration is as follows:

[0145] Qjt=Dls*Djd*s1;

[0146] Among them, Qjt is the regional traffic accessibility, Dls is the number of roads passing through, Djd is the number of regional road intersections, s1 is the set proportional coefficient and s1 is greater than 0;

[0147] Get the population density of the surrounding area corresponding to the area to be planned, as follows:

[0148] Obtain a map of the area to be planned, mark the regional population analysis distance in the map of the area to be planned, and create a regional population analysis circle with the geometric center of the area to be planned as the center and the regional population analysis distance as the radius;

[0149] It should be noted here that the regional population analysis distance involved here is set to 4 kilometers in this embodiment;

[0150] Obtain regional natural data, obtain the area value of the area to be planned based on the regional natural data, and calculate the area value of the population analysis area by combining the regional population analysis distance and the area value of the area to be planned;

[0151] Calculate the area value of the population analysis region. The specific formula configuration is as follows:

[0152] Syz=π*Qfj 2 -Sgh;

[0153] Among them, Syz is the area value of the population analysis area, Qfj is the regional population analysis distance, and Sgh is the area value of the area to be planned;

[0154] Mark the regional population analysis circles on the map of the area to be planned to overlap and obtain the environment overlapping mark area, obtain the number of residential areas in the environment overlapping mark area according to the map of the area to be planned, and mark them as the first to the i-th residential areas, respectively, obtain the house occupancy rates corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th house occupancy rates, and obtain the population carrying capacity corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th population carrying capacity;

[0155] It should be noted here that:

[0156] The i involved here specifically refers to the number of residential areas, and i here is an integer greater than 0;

[0157] In this application, residential areas include but are not limited to residential areas, apartments and villas;

[0158] The area value of the population analysis area, the occupancy rate of the first to the i-th house and the first to the i-th population capacity are calculated to obtain the population density of the surrounding area;

[0159] Calculate the population density of the surrounding area. The specific formula is as follows:

[0160]

[0161] Among them, Rzm is the population density of the surrounding area, Frz1 to Frzi are the occupancy rates of the first to the ith house, and Rrn1 to Rrni are the capacity of the first to the ith population;

[0162] Mark the map of the area to be planned, the population density of the surrounding area, and the regional traffic accessibility as regional humanities data;

[0163] The humanities data module acquires regional humanities data and transmits it to the regional planning module and planning assessment module;

[0164] The regional planning module performs regional planning on the planning area according to the regional natural data and regional cultural data to obtain planning result data;

[0165] Obtain regional natural data, and obtain the area value and annual average wind speed value of the planned area based on the regional natural data;

[0166] Obtain regional humanities data, and obtain the population density of the surrounding areas and regional traffic accessibility based on the regional humanities data;

[0167] Get the base area value of the area to be planned;

[0168] The first regional planning coefficient is obtained by calculating the area value of the area to be planned, the base area value of the first area to be planned, the population density of the surrounding area and the regional traffic accessibility;

[0169] Calculate the planning coefficient of the first area, and the specific formula is configured as follows:

[0170]

[0171] Among them, Ghy1 is the planning coefficient of the first area, Rzm is the population density of the surrounding area, Qjt is the regional traffic accessibility, Sgh is the area value of the area to be planned, Sghj1 is the base area value of the first area to be planned, S2 is the set proportional coefficient and S2 is greater than 0;

[0172] The first area planning coefficient threshold is obtained, and the first area planning coefficient threshold is obtained as follows:

[0173] The first area planning coefficient threshold is obtained by calculating the first area planning coefficient threshold by obtaining the first area benchmark area value of the first area to be planned, the first surrounding area benchmark population density and the first area traffic benchmark accessibility through big data;

[0174] It should be noted here that:

[0175] The first benchmark area value of the area to be planned, the benchmark population density of the first surrounding area, and the benchmark traffic accessibility of the first area involved here are respectively the average area value, average population density, and average traffic accessibility of the commercial area corresponding to the area where the area to be developed is located obtained through big data statistics;

[0176] The planning coefficient threshold of the first area is calculated, and the specific formula configuration is as follows:

[0177]

[0178] Among them, Ghyj1 is the planning coefficient threshold of the first area, Rzmj1 is the benchmark population density of the first surrounding area, Qjtj1 is the benchmark traffic accessibility of the first area, Sghj1 is the benchmark area value of the first area to be planned, and S2 is the set proportional coefficient and S2 is greater than 0;

[0179] When the first area planning coefficient is greater than or equal to the first area planning coefficient threshold, the planned area to be planned is a first type of area to be planned;

[0180] When the first area planning coefficient is less than the first area planning coefficient threshold, the planned area to be planned is the second type of area to be planned;

[0181] It should be noted here that: the first type of areas to be planned are specifically commercial areas, and the second type of areas to be planned are specifically subject to further planning;

[0182] Further planning is carried out for the third type of areas to be planned, as follows:

[0183] Obtain the area value of the planned area, the annual average wind speed value, the population density of the surrounding area, and the regional traffic accessibility;

[0184] The second regional planning coefficient is obtained by calculating the area value of the planned area, the annual average wind speed value, the population density of the surrounding area and the regional traffic accessibility;

[0185] Calculate the planning coefficient of the second area. The specific formula is as follows:

[0186]

[0187] Among them, Ghy2 is the planning coefficient of the second area, Rzm is the population density of the surrounding area, Qjt is the regional traffic accessibility, Sgh is the area value of the planned area, Cfq is the annual average wind speed value, and b1 is the set proportional coefficient;

[0188] Obtain the second benchmark area value of the planned area, the second benchmark population density of the surrounding area, the second benchmark traffic accessibility, and the first benchmark wind speed value throughout the year through big data;

[0189] It should be noted here that:

[0190] The second benchmark area value of the area to be planned, the second benchmark population density of the surrounding area, the second benchmark traffic accessibility of the area, and the first benchmark wind speed value throughout the year involved here are respectively the average area value, average population density, average traffic accessibility, and average wind speed value of the industrial area corresponding to the area where the area to be developed is located obtained through big data statistics;

[0191] The second area planning coefficient threshold is obtained by calculating the second area benchmark area value, the second surrounding area benchmark population density, the second area traffic benchmark accessibility and the first annual benchmark wind speed value;

[0192] The second area planning coefficient threshold is calculated, and the specific formula configuration is as follows:

[0193]

[0194] Among them, Ghyj2 is the planning coefficient threshold of the second area, Rzmj2 is the benchmark population density of the second surrounding area, Qjtj2 is the benchmark traffic accessibility of the second area, Sghj2 is the benchmark area value of the second area to be planned, Cfqj1 is the first annual benchmark wind speed value, and b1 is the set proportional coefficient;

[0195] When the second area planning coefficient is greater than or equal to the second area planning coefficient threshold, the planned area to be planned is the third type of area to be planned;

[0196] It should be noted here that:

[0197] When the second regional planning coefficient is less than the second regional planning coefficient threshold, it is not considered in this application;

[0198] The third type of area to be planned involved here is the industrial area;

[0199] Defining planning result data for the areas to be planned corresponding to the first type of planning areas and the third type of planning areas;

[0200] The planning assessment module conducts planning assessment based on regional natural data and planning result data;

[0201] Obtain planning result data;

[0202] The planning assessment for the first type of planning area is as follows:

[0203] In the first type of planning area, j altitude monitoring points are selected and marked as the first to jth altitude monitoring points respectively, and the altitude values ​​corresponding to each altitude monitoring point are obtained by an altitude measuring instrument to obtain the first to ith altitude values;

[0204] Calculate the variance of the first to jth altitude values ​​to obtain the altitude variance;

[0205] Arrange the first to jth altitude values ​​in descending order according to their numerical values ​​to obtain an altitude descending queue, mark the altitude value corresponding to the head of the queue as the regional altitude peak value, and mark the altitude value corresponding to the tail of the queue as the regional altitude valley value;

[0206] It should be noted here that:

[0207] The j involved here is the number of altitude monitoring points, and j is a positive integer;

[0208] The regional terrain relief coefficient corresponding to the first type of planning area is obtained by calculating the altitude variance, the regional altitude peak value and the regional altitude valley value;

[0209] Calculate the regional terrain relief coefficient, the specific formula configuration is as follows:

[0210] Dqf1=Hfc+(Hfz-Hgz)*c1;

[0211] Among them, Dqf1 is the regional terrain fluctuation coefficient, Hfc is the altitude variance, Hfz is the regional altitude peak, and Hgz is the regional altitude valley;

[0212] Obtaining a first regional terrain relief coefficient threshold, performing numerical comparison between the regional terrain relief coefficient and the first regional terrain relief coefficient threshold, and performing planning evaluation on the first type of planning area according to the numerical comparison result;

[0213] It should be noted here that:

[0214] The first altitude reference variance and the first altitude reference difference corresponding here are both the preset altitude reference variance and the preset altitude reference difference obtained through big data analysis;

[0215] The above preset data is only applicable to this embodiment. In actual application, specific settings need to be made according to actual conditions.

[0216] Obtain the first altitude reference variance and the first altitude reference difference to obtain the regional terrain relief coefficient corresponding to the first type of planning area through calculation;

[0217] The threshold of the terrain relief coefficient of the first area is calculated, and the specific formula configuration is as follows:

[0218] Dqfy1=Hfcy1+Fgj1*c1;

[0219] Among them, Dqfy1 is the threshold value of the first regional terrain relief coefficient, Hfcy1 is the first altitude benchmark variance, and Fgj1 is the first benchmark altitude benchmark difference;

[0220] When the regional terrain relief coefficient is greater than or equal to the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is unreasonable;

[0221] When the regional terrain relief coefficient is less than the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is reasonable;

[0222] The planning assessment for the third type of planning area is as follows:

[0223] Obtain regional natural data, and obtain the prevailing wind direction in the region based on the regional natural data;

[0224] Obtain regional humanities data, and obtain a map of the area to be planned based on the regional humanities data;

[0225] In the map of the area to be planned, with the geometric center point of the area to be planned as the center, and with the first wind influence preset distance and the second wind influence preset distance as the radius, respectively, a first wind influence circle and a second wind influence circle are established;

[0226] The prevailing wind direction of the region is marked in the map of the area to be planned by means of a wind direction arrow to obtain the prevailing wind direction arrow, a diameter perpendicular to the prevailing wind direction arrow is obtained in the first wind influence circle, and it is marked as the wind direction vertical diameter, the intersection of the wind direction vertical diameter and the first wind influence circle is obtained, the first wind direction tangent point and the second wind direction tangent point are obtained, two tangents of the first wind influence circle are drawn through the first wind direction tangent point and the second wind direction tangent point respectively, and the first prevailing wind direction tangent line and the second prevailing wind direction tangent line are obtained;

[0227] The area enclosed by the area to be planned, the second wind influence circle, the first prevailing wind direction tangent line and the second prevailing wind direction tangent line in the map of the area to be planned is marked as the prevailing wind influence area. Figure 5 ;

[0228] If there are residential areas in the area affected by the prevailing wind, the current regional planning is judged to be unreasonable;

[0229] If there is no residential area in the prevailing wind impact area, repeat the process of obtaining the regional terrain relief coefficient corresponding to the first type of planning area and the first regional terrain relief coefficient threshold to obtain the regional terrain relief coefficient corresponding to the second type of planning area and the second regional terrain relief coefficient threshold;

[0230] If the regional terrain relief coefficient is greater than or equal to the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is unreasonable;

[0231] If the regional terrain relief coefficient is less than the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is reasonable;

[0232] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0233] Embodiment 2

[0234] See also Figure 2 Based on another concept of the same invention, a national land space planning design evaluation system based on big data is proposed, which includes the following steps:

[0235] Step S1: Acquire regional natural data;

[0236] It also includes a database, and the data stored in the database also includes a statistical table of annual wind data for national land areas;

[0237] Step S11: Divide the land area to be planned into a first wind direction type area and a second wind direction type area to obtain wind direction type spatial classification data;

[0238] The specific steps are as follows:

[0239] Step S111: Obtain the annual wind force data statistics table of the national territory, and count the cumulative occurrence days of the first to eighth wind direction types according to the annual wind force data statistics table of the national territory to obtain the cumulative occurrence days of the first to eighth wind directions;

[0240] Step S112: averaging the cumulative occurrence days of the first to eighth wind directions to obtain the average occurrence days of the wind directions;

[0241] Step S113: performing variance calculation on the average number of days for the wind direction to appear and the cumulative number of days for the first to eighth wind directions to appear, respectively, to obtain the variance of the cumulative number of days for the wind direction to appear;

[0242] Step S114: obtaining the variance of the cumulative number of days when the preset wind direction appears;

[0243] Step S115: when the variance of the accumulated number of days of wind direction occurrence is greater than or equal to the preset variance of the accumulated number of days of wind direction occurrence, it is determined that the land area to be planned is divided into a first wind direction type area;

[0244] Step S116: when the variance of the accumulated number of days of wind direction appearance is less than the preset variance of the accumulated number of days of wind direction appearance, it is determined that the land area to be planned is divided into a second wind direction type area;

[0245] Step S12: obtaining the prevailing wind direction and the average wind speed value of the region corresponding to the first wind direction type region;

[0246] The specific steps are as follows:

[0247] Step S121: establishing a plane histogram with the first to eighth wind direction types as the horizontal coordinates and the cumulative number of days of the first to eighth wind directions as the vertical coordinates, to obtain a distribution histogram of the number of days of wind direction types;

[0248] Step S122: in the wind direction type day number distribution histogram, the histogram columns corresponding to the first to eighth wind direction types are marked as the first to eighth wind direction histogram columns, and the wind force type appearance baseline is marked in the wind direction type day number distribution histogram, and the wind direction type corresponding to the wind direction histogram column above the wind force type appearance baseline is defined as the regional prevailing wind direction;

[0249] Step S123: m wind direction monitoring time points are selected according to the annual wind data statistics table of the national land area, and the wind moving speeds corresponding to the m wind direction monitoring time points are obtained respectively to obtain m monitored prevailing wind moving speeds, and the average of the m monitored prevailing wind moving speeds is calculated to obtain the annual average wind speed value;

[0250] Step S13: for the second wind direction type area, repeat the above process of obtaining the annual average wind speed value, and obtain the annual average wind speed value corresponding to the second wind direction type area through the national land area annual wind data statistics table;

[0251] Step S14: obtaining the area data of the land area to be planned by using an area measuring instrument to obtain the area value of the area to be planned;

[0252] Step S15: defining the prevailing wind direction, the annual average wind speed value and the area value of the area to be planned as regional natural data;

[0253] Step S2: Obtain regional cultural data;

[0254] It also includes a database, and the data stored in the database also includes a road distribution map of the area to be planned;

[0255] Step S21: Obtaining the regional traffic accessibility corresponding to the area to be planned;

[0256] The specific steps are as follows:

[0257] Step S211: Establishing a traffic planning analysis area with the geometric center point of the area to be planned as the center and the preset traffic radiation distance as the radius;

[0258] Step S212: Obtain a road distribution map of the area to be planned, mark the traffic planning analysis area on the road planning map of the area to be planned, and obtain a road marking area;

[0259] Step S213: Count the number of roads passing through the road marking area to obtain a value of the number of roads passed through;

[0260] Step S214: marking every intersection of two or more roads in the road marking area as a road intersection point, counting the number of road intersection points in the road marking area, and obtaining the number of regional road intersection points;

[0261] Step S215: Calculate the number of traversed roads and the number of regional road intersections to obtain regional traffic accessibility;

[0262] Step S22: Obtaining the population density of the surrounding area corresponding to the area to be planned;

[0263] The specific steps are as follows:

[0264] Step S221: obtaining a map of the area to be planned, marking the regional population analysis distance in the map of the area to be planned, and creating a regional population analysis circle with the geometric center of the area to be planned as the center and the regional population analysis distance as the radius;

[0265] Step S222: Acquire regional natural data, obtain the area value of the area to be planned according to the regional natural data, and calculate the population analysis distance and the area value of the area to be planned to obtain the population analysis area value;

[0266] Step S223: Mark the regional population analysis circle on the map of the area to be planned to obtain an environment overlapping mark area, obtain the number of residential areas in the environment overlapping mark area according to the map of the area to be planned, and mark them as the first to i-th residential areas, respectively, obtain the house occupancy rates corresponding to the first to i-th residential areas, respectively, and obtain the first to i-th house occupancy rates, and obtain the population capacity corresponding to the first to i-th residential areas, respectively, and obtain the first to i-th population capacity;

[0267] Step S224: Calculate the area value of the population analysis area, the occupancy rates of the first to the i-th houses, and the first to the i-th population capacity to obtain the population density of the surrounding area;

[0268] Step S23: Marking the map of the area to be planned, the population density of the surrounding area, and the regional traffic accessibility as regional cultural data;

[0269] Step S3: Perform regional planning on the planning area according to the regional natural data and regional cultural data to obtain planning result data;

[0270] Step S31: Acquire regional natural data, and acquire the area value and the annual average wind speed value of the planned area according to the regional natural data;

[0271] Step S32: Acquire regional humanities data, and acquire the population density of the surrounding area and regional traffic accessibility according to the regional humanities data;

[0272] Step S33: Obtaining the reference area value of the area to be planned;

[0273] Step S34: Calculate the area value of the area to be planned, the base area value of the first area to be planned, the population density of the surrounding area, and the regional traffic accessibility to obtain the first regional planning coefficient;

[0274] Step S35: obtaining a first area planning coefficient threshold, and comparing the first area planning coefficient with the first area planning coefficient threshold;

[0275] The specific steps are as follows:

[0276] Step S351: Obtain the first area benchmark area value of the area to be planned, the first surrounding area benchmark population density, and the first area traffic benchmark accessibility through big data to obtain the first area planning coefficient threshold value through calculation;

[0277] Step S352: when the first area planning coefficient is greater than or equal to the first area planning coefficient threshold, the area to be planned is a first type of area to be planned;

[0278] Step S353: when the first area planning coefficient is less than the first area planning coefficient threshold, the area to be planned is a second type of area to be planned;

[0279] Step S36: further planning the second type of area to be planned;

[0280] The specific steps are as follows:

[0281] Step S361: Obtain the area value of the area to be planned, the annual average wind speed value, the population density of the surrounding area, and the regional traffic accessibility;

[0282] Step S362: Calculate the area value of the planned area, the annual average wind speed value, the population density of the surrounding area, and the regional traffic accessibility to obtain a second regional planning coefficient;

[0283] Step S363: obtaining the second benchmark area value of the area to be planned, the second surrounding area benchmark population density, the second area traffic benchmark accessibility, and the first perennial benchmark wind speed value through big data;

[0284] Step S364: Calculate the second area planning coefficient threshold by using the second area benchmark area value to be planned, the second surrounding area benchmark population density, the second area traffic benchmark accessibility, and the first annual benchmark wind speed value;

[0285] Step S365: when the second area planning coefficient is greater than or equal to the second area planning coefficient threshold, the area to be planned is planned as the third type of area to be planned;

[0286] Step S37: defining planning result data for the areas to be planned corresponding to the first type of planning areas and the third type of planning areas;

[0287] Step S4: Conduct planning assessment based on regional natural data and planning result data;

[0288] Step S41: Obtain planning result data;

[0289] Step S42: Perform planning assessment on the first type of planning area, as follows:

[0290] Step S421: In the first type of planning area, j altitude monitoring points are selected respectively and marked as the first to jth altitude monitoring points respectively, and the altitude value corresponding to each altitude monitoring point is obtained by an altitude measuring instrument to obtain the first to ith altitude values;

[0291] Step S422: Calculate the variance of the first to j-th altitude values ​​to obtain the altitude variance;

[0292] Step S423: Arrange the first to j-th altitude values ​​in descending order according to their numerical values ​​to obtain an altitude descending queue, mark the altitude value corresponding to the head of the queue as the regional altitude peak value, and mark the altitude value corresponding to the tail of the queue as the regional altitude valley value;

[0293] Step S424: Calculate the altitude variance, the regional altitude peak value and the regional altitude valley value to obtain the regional terrain relief coefficient corresponding to the first type of planning area;

[0294] Step S425: obtaining a first regional terrain relief coefficient threshold, performing numerical comparison between the regional terrain relief coefficient and the first regional terrain relief coefficient threshold, and performing planning evaluation on the first type of planning area according to the numerical comparison result;

[0295] The specific steps are as follows:

[0296] Step S4251: Obtain the first altitude reference variance and the first altitude reference difference, and calculate the regional terrain relief coefficient corresponding to the first type of planning area;

[0297] Step S4252: when the regional terrain relief coefficient is greater than or equal to the first regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is unreasonable;

[0298] Step S4253: when the regional terrain relief coefficient is less than the first regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is reasonable;

[0299] Step S43: Perform planning assessment on the third type of planning area, as follows:

[0300] Step S431: obtaining regional natural data, and obtaining the prevailing wind direction of the region according to the regional natural data;

[0301] Step S432: Acquire regional humanities data, and acquire a map of the area to be planned based on the regional humanities data;

[0302] Step S433: in the map of the area to be planned, with the geometric center point of the area to be planned as the center, and the first wind influence preset distance and the second wind influence preset distance as the radius, respectively, to establish a first wind influence circle and a second wind influence circle;

[0303] Step S434: Mark the prevailing wind direction of the region in the map of the area to be planned by means of a wind direction arrow to obtain a prevailing wind direction arrow, obtain a diameter perpendicular to the prevailing wind direction arrow in the first wind influence circle, and mark it as the wind direction vertical diameter, obtain the intersection of the wind direction vertical diameter and the first wind influence circle, obtain the first wind direction tangent point and the second wind direction tangent point, and draw two tangents of the first wind influence circle through the first wind direction tangent point and the second wind direction tangent point, respectively, to obtain a first prevailing wind direction tangent line and a second prevailing wind direction tangent line;

[0304] Step S435: marking an area enclosed by the area to be planned, the second wind influence circle, the first prevailing wind direction tangent line and the second prevailing wind direction tangent line in the map of the area to be planned as a prevailing wind influence area;

[0305] Step S436: If there are residential areas in the area affected by the prevailing wind, it is determined that the current regional planning is unreasonable;

[0306] Step S437: If there is no residential area in the prevailing wind impact area, repeat the process of obtaining the regional terrain relief coefficient corresponding to the first type of planning area and the first regional terrain relief coefficient threshold, to obtain the regional terrain relief coefficient corresponding to the second type of planning area and the second regional terrain relief coefficient threshold;

[0307] Step S438: If the regional terrain relief coefficient is greater than or equal to the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is unreasonable;

[0308] Step S439: If the regional terrain relief coefficient is less than the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is reasonable.

[0309] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The national land space planning design and evaluation system based on big data is characterized by: include: Natural data module; Obtain the area value of the area to be planned, obtain the variance of the cumulative number of days of wind direction, divide the land area to be planned into a first wind direction type area and a second wind direction type area, obtain the regional prevailing wind direction and annual average wind speed values ​​corresponding to the first wind direction type area, obtain the annual average wind speed values ​​corresponding to the second wind direction type area, and obtain regional natural data; Humanities data module: obtain the regional traffic accessibility, population density of surrounding areas and map of the area to be planned, and obtain regional humanities data; Regional planning module: calculate the first regional planning coefficient according to the regional natural data and the regional humanities data respectively, obtain the first regional planning coefficient threshold and compare the first regional planning coefficient with the first regional planning coefficient, divide the area to be planned into the first type of area to be planned and the second type of area to be planned, obtain the second regional planning coefficient corresponding to the second type of area to be planned, divide the third type of area to be planned from the second type of area to be planned by threshold judgment of the second regional planning coefficient, and define the first type of area to be planned and the third type of area to be planned as planning result data; Planning evaluation module: Conduct regional planning evaluation on planning result data based on regional natural data and regional cultural data; The planning evaluation module performs planning evaluation as follows: Obtain planning result data; The planning assessment for the first type of planning area is as follows: In the first type of planning area, j altitude monitoring points are selected and marked as the first to jth altitude monitoring points respectively, and the altitude values ​​corresponding to each altitude monitoring point are obtained by an altitude measuring instrument to obtain the first to ith altitude values; Calculate the variance of the first to jth altitude values ​​to obtain the altitude variance; Arrange the first to jth altitude values ​​in descending order according to their numerical values ​​to obtain an altitude descending queue, mark the altitude value corresponding to the head of the queue as the regional altitude peak value, and mark the altitude value corresponding to the tail of the queue as the regional altitude valley value; The regional terrain relief coefficient corresponding to the first type of planning area is obtained by calculating the altitude variance, the regional altitude peak value and the regional altitude valley value; Obtaining a first regional terrain relief coefficient threshold, performing numerical comparison between the regional terrain relief coefficient and the first regional terrain relief coefficient threshold, and performing planning evaluation on the first type of planning area according to the numerical comparison result; Obtain the first altitude reference variance and the first altitude reference difference to obtain the regional terrain relief coefficient corresponding to the first type of planning area through calculation; When the regional terrain relief coefficient is greater than or equal to the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is unreasonable; When the regional terrain relief coefficient is less than the first regional terrain relief coefficient threshold, it is judged that the regional terrain relief assessment is reasonable; Conduct planning assessments for Type II planning areas; The planning assessment module performs planning assessment on the second type of planning area, as follows: Obtain regional natural data, and obtain the prevailing wind direction in the region based on the regional natural data; Obtain regional humanities data, and obtain a map of the area to be planned based on the regional humanities data; In the map of the area to be planned, with the geometric center point of the area to be planned as the center, and with the first wind influence preset distance and the second wind influence preset distance as the radius, respectively, a first wind influence circle and a second wind influence circle are established; The prevailing wind direction of the region is marked in the map of the area to be planned by means of a wind direction arrow to obtain the prevailing wind direction arrow, a diameter perpendicular to the prevailing wind direction arrow is obtained in the first wind influence circle, and it is marked as the wind direction vertical diameter, the intersection of the wind direction vertical diameter and the first wind influence circle is obtained, the first wind direction tangent point and the second wind direction tangent point are obtained, two tangents of the first wind influence circle are drawn through the first wind direction tangent point and the second wind direction tangent point respectively, and the first prevailing wind direction tangent line and the second prevailing wind direction tangent line are obtained; Marking the area enclosed by the area to be planned, the second wind influence circle, the first prevailing wind direction tangent line and the second prevailing wind direction tangent line in the map of the area to be planned as the prevailing wind influence area; If there are residential areas in the area affected by the prevailing wind, the current regional planning is judged to be unreasonable; If there is no residential area in the prevailing wind impact area, repeat the process of obtaining the regional terrain relief coefficient corresponding to the first type of planning area and the first regional terrain relief coefficient threshold to obtain the regional terrain relief coefficient corresponding to the second type of planning area and the second regional terrain relief coefficient threshold; If the regional terrain relief coefficient is greater than or equal to the second regional terrain relief coefficient threshold, it is determined that the regional terrain relief assessment is unreasonable; If the regional terrain relief coefficient is less than the second regional terrain relief coefficient threshold, the regional terrain relief assessment is judged to be reasonable.

2. According to the big data-based national land space planning, design and evaluation system of claim 1, it is characterized in that: Including a database, the data stored in the database also includes a statistical table of annual wind data for national land areas; The natural data module acquires regional natural data, as follows: Obtain the area data of the land area to be planned, and obtain the area value of the area to be planned; The land area to be planned is divided into a first wind direction type area and a second wind direction type area to obtain spatial classification data of wind direction types; Obtain the prevailing wind direction and annual average wind speed values ​​corresponding to the first wind direction type area; For the second wind direction type area, repeat the above process of obtaining the annual average wind speed value, and obtain the annual average wind speed value corresponding to the second wind direction type area through the national land area annual wind data statistical table; The regional prevailing wind direction, the annual average wind speed value and the area value of the area to be planned are defined as regional natural data.

3. The national land space planning, design and evaluation system based on big data according to claim 2 is characterized in that: The natural data module obtains the spatial classification data of wind direction types, as follows: Obtain the annual wind force data statistics table of the national land area, divide the wind direction types into the first to eighth wind direction types, and count the cumulative occurrence days of the first to eighth wind direction types according to the annual wind force data statistics table of the national land area to obtain the cumulative occurrence days of the first to eighth wind directions; The average number of days for the first to eighth wind directions to appear is calculated to obtain the average number of days for the wind direction to appear; The variance of the average number of days of wind direction appearance and the cumulative number of days of wind direction appearance from the first to the eighth are calculated respectively to obtain the variance of the cumulative number of days of wind direction appearance; Get the variance of the cumulative number of days when the preset wind direction appears; When the variance of the accumulated days of wind direction is greater than or equal to the preset variance of the accumulated days of wind direction, it is determined that the land area to be planned is divided into the first wind direction type area; When the variance of the accumulated number of days that the wind direction appears is less than the variance of the accumulated number of days that the preset wind direction appears, it is determined that the land area to be planned is divided into the second wind direction type area.

4. The national land space planning, design and evaluation system based on big data according to claim 2 is characterized in that: The natural data module obtains the prevailing wind direction and the average wind speed values ​​of the region corresponding to the first wind direction type region, as follows: A plane histogram is established with the first to eighth wind direction types as the horizontal coordinates and the cumulative number of days of the first to eighth wind directions as the vertical coordinates to obtain a distribution histogram of the number of days of wind direction types; In the distribution histogram of wind direction type days, the histograms corresponding to the first to eighth wind direction types are marked as the first to eighth wind direction histograms, and the wind force type appearance baseline is marked in the distribution histogram of wind direction type days, and the wind direction type corresponding to the wind direction histogram above the wind force type appearance baseline is defined as the regional prevailing wind direction; According to the annual wind data statistics table of the national land area, m wind direction monitoring time points are selected respectively, and the wind moving speeds corresponding to the m wind direction monitoring time points are obtained respectively, and m monitored prevailing wind moving speeds are obtained. The average of the m monitored prevailing wind moving speeds is calculated to obtain the annual average wind speed value.

5. The national land space planning, design and evaluation system based on big data according to claim 1 is characterized in that: It also includes a database, and the data stored in the database also includes a road distribution map of the area to be planned; The humanities data module acquires regional humanities data, as follows: Obtain the regional traffic accessibility corresponding to the area to be planned; The details are as follows: With the geometric center point of the planned area as the center and the preset traffic radiation distance as the radius, a traffic planning analysis area is established; Obtain a road distribution map of the area to be planned, mark the traffic planning analysis area on the road planning map of the area to be planned, and obtain a road marking area; Count the number of roads passing through the road marking area to obtain the number of passing roads; Mark every intersection of two or more roads in the road marking area as a road intersection point, count the number of road intersection points in the road marking area, and obtain the number of regional road intersection points; The regional traffic accessibility is obtained by calculating the number of traversing roads and the number of regional road intersections; Obtain the population density of the surrounding area corresponding to the area to be planned; The map of the area to be planned, the population density of the surrounding area, and the regional traffic accessibility are marked as regional cultural data.

6. The national land space planning, design and evaluation system based on big data according to claim 5 is characterized in that: The humanities data module obtains the population density of the surrounding area, as follows: Obtain a map of the area to be planned, mark the regional population analysis distance in the map of the area to be planned, and create a regional population analysis circle with the geometric center of the area to be planned as the center and the regional population analysis distance as the radius; Obtain regional natural data, obtain the area value of the area to be planned based on the regional natural data, and calculate the area value of the population analysis area by combining the regional population analysis distance and the area value of the area to be planned; Mark the regional population analysis circles on the map of the area to be planned to overlap and obtain the environment overlapping mark area, obtain the number of residential areas in the environment overlapping mark area according to the map of the area to be planned, and mark them as the first to the i-th residential areas, respectively, obtain the house occupancy rates corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th house occupancy rates, and obtain the population carrying capacity corresponding to the first to the i-th residential areas, respectively, and obtain the first to the i-th population carrying capacity; The area value of the population analysis area, the occupancy rates of the first to the ith houses and the first to the ith population carrying capacity are calculated to obtain the population density of the surrounding area.

7. The national land space planning, design and evaluation system based on big data according to claim 1 is characterized in that: The regional planning module obtains the planning result data, as follows: Obtain regional natural data, and obtain the area value and annual average wind speed value of the planned area based on the regional natural data; Obtain regional humanities data, and obtain the population density of the surrounding areas and regional traffic accessibility based on the regional humanities data; Get the base area value of the area to be planned; The first regional planning coefficient is obtained by calculating the area value of the area to be planned, the base area value of the first area to be planned, the population density of the surrounding area and the regional traffic accessibility; Obtaining a first area planning coefficient threshold, and comparing the first area planning coefficient with the first area planning coefficient threshold, and dividing the area to be planned into a first type of area to be planned and a second type of area to be planned; The details are as follows: The first area planning coefficient threshold is obtained by calculating the first area planning coefficient threshold by obtaining the first area benchmark area value of the first area to be planned, the first surrounding area benchmark population density and the first area traffic benchmark accessibility through big data; When the first area planning coefficient is greater than or equal to the first area planning coefficient threshold, the area to be planned is divided into a first type of area to be planned; When the first area planning coefficient is less than the first area planning coefficient threshold, the area to be planned is divided into a second type of area to be planned; Further planning is performed on the second type of area to be planned to obtain a third type of area to be planned; The planning result data is defined for the areas to be planned corresponding to the first type of planning areas and the third type of planning areas.

8. The national land space planning, design and evaluation system based on big data according to claim 7 is characterized in that: The regional planning module further plans the second type of area to be planned to obtain a third type of area to be planned, as follows: Obtain the area value of the planned area, the annual average wind speed value, the population density of the surrounding area, and the regional traffic accessibility; The second regional planning coefficient is obtained by calculating the area value of the planned area, the annual average wind speed value, the population density of the surrounding area and the regional traffic accessibility; Obtain the second benchmark area value of the planned area, the second benchmark population density of the surrounding area, the second benchmark traffic accessibility, and the first benchmark wind speed value throughout the year through big data; The second area planning coefficient threshold is obtained by calculating the second area benchmark area value, the second surrounding area benchmark population density, the second area traffic benchmark accessibility and the first annual benchmark wind speed value; When the second area planning coefficient is greater than or equal to the second area planning coefficient threshold, the planned area to be planned is the third type of area to be planned.

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