Geographic information-based substation site selection method and device

Abstract

The invention discloses a substation site selection method and device based on geographic information, and the method comprises the steps: taking a to-be-planned address as a midpoint, obtaining first base station data at a first preset distance and second base station data at a second preset distance, and then determining a first population prediction number and a second population prediction number; if the first predicted population number or the second predicted population number is smaller than the preset population number, geographic data of the to-be-planned address and substation data are acquired; calculating and predicting environmental bearing capacity according to the geographic data; according to the landform remote sensing image and a preset landform evaluation model, obtaining a flat earth surface proportion of the address to be planned; and finally, determining a site selection result according to the predicted environment bearing capacity, the flat surface proportion, the electromagnetic signal interference range and the noise interference range. By implementing the method and the device, the influence of personal experience of experts with relatively large subjective factors on the site selection result can be avoided, so that the error of the site selection result is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of substation site selection in an electric power system, and in particular to a method and device for substation site selection based on geographic information. Background Art

[0002] The 35kV substation is a key distribution link in the power system, responsible for converting high-voltage power into low-voltage power and effectively distributing it to users. Reasonable site selection is crucial to ensuring the stability of the power system, reducing construction costs and improving power supply reliability. Improper site selection may lead to a series of problems such as insufficient power supply radius, increased failure rate, waste of investment and environmental damage.

[0003] At present, the site selection method for 35 kV substations is mainly qualitative analysis, that is, collecting information through expert evaluation, questionnaire surveys, etc., and making a comprehensive judgment on the site selection. However, in the process of qualitative analysis, over-reliance on the personal experience of experts makes the site selection decision results of 35 kV substations likely to be affected by subjective factors, resulting in deviations in the site selection decision results of 35 kV substations. Summary of the invention

[0004] The present invention provides a method and device for substation site selection based on geographic information, which can avoid the influence of expert personal experience with relatively large subjective factors on site selection results, thereby reducing the error of site selection results.

[0005] An embodiment of the present invention provides a method for substation site selection decision based on geographic information, comprising:

[0006] Taking the address to be planned as the midpoint, obtain the first base station data in the first location area at the first preset distance, and the second base station data in the second location area at the second preset distance; wherein the above base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell, and the historical per capita communication access volume;

[0007] Calculate a first predicted population number corresponding to the first location area and a second predicted population number corresponding to the second location area according to the first base station data and the second base station data respectively;

[0008] Compare the first population forecast number, the second population forecast number and the preset population number;

[0009] If the first predicted population number or the second predicted population number is less than the preset population number, the geographic data of the address to be planned and the substation data of the substation to be constructed are obtained; wherein the geographic data include: geological information and topographic remote sensing images, the substation data include: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total thickness of soil layer, soil layer density and groundwater level depth;

[0010] Based on the above geological information, the predicted environmental carrying capacity of the planned address is calculated;

[0011] According to the above-mentioned landform remote sensing images and the preset landform assessment model, the flat surface proportion of the address to be planned is obtained;

[0012] The site selection result is determined based on the above-mentioned predicted environmental carrying capacity, the above-mentioned flat surface proportion, the above-mentioned electromagnetic signal interference range and the above-mentioned noise interference range.

[0013] Furthermore, it also includes:

[0014] If the first predicted population number and the second predicted population number are both greater than the preset population number, it is determined that the site selection result does not meet the site selection requirements.

[0015] Further, the first predicted population number corresponding to the first location area and the second predicted population number corresponding to the second location area are calculated based on the first base station data and the second base station data, respectively, including:

[0016] Calculate the first current population corresponding to the first location area according to the number of cells covered by each current base station in the first base station data, the historical per capita communication access volume, and the area of ​​each cell;

[0017] Calculate a first population growth value corresponding to the first location area according to the current number of base stations and the historical number of base stations in the first base station data;

[0018] The predicted first population is calculated based on the product of the first population growth value and the first current population;

[0019] Calculate the second current population corresponding to the second location area according to the number of cells covered by each current base station in the second base station data, the historical per capita communication access volume, and the area of ​​each cell;

[0020] Calculate a second population growth value corresponding to the second location area according to the current number of base stations and the historical number of base stations in the second base station data;

[0021] The second population forecast number is calculated based on the product of the second population growth value and the second current population number.

[0022] Furthermore, the predicted environmental carrying capacity of the address to be planned is calculated based on the above geological information, including:

[0023] Determine the predicted soil cohesion of the planned address based on the above soil type and the above soil moisture content;

[0024] The predicted soil stress of the address to be planned is calculated based on the total thickness of the soil layer, the density of the soil layer and the construction depth;

[0025] According to the above construction depth and the above groundwater level depth, the predicted water level stress is calculated;

[0026] The predicted environmental bearing capacity is calculated based on the predicted soil cohesion, the predicted soil stress and the predicted water level stress.

[0027] Furthermore, the preset topography and geomorphology assessment model includes: a spectral recognition layer, a spectral analysis layer and a surface proportion prediction layer; the flat surface proportion of the address to be planned is obtained according to the topography remote sensing image and the preset topography and geomorphology assessment model, including:

[0028] Input the landform remote sensing image into the preset landform assessment model, so that the spectral recognition layer sequentially performs preprocessing, normalization, image enhancement and spectral extraction on the landform remote sensing image to obtain spectral information corresponding to the landform remote sensing image;

[0029] Inputting the spectral information into the spectral analysis layer, so that the spectral analysis layer performs spectral analysis according to the spectral information to obtain a surface type analysis result of the address to be planned;

[0030] The above-mentioned surface type analysis results are input into the above-mentioned surface proportion prediction layer, so that the above-mentioned surface proportion prediction layer predicts the surface proportion according to the above-mentioned surface type analysis results to obtain the above-mentioned flat surface proportion.

[0031] Furthermore, the site selection result is determined based on the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range, and the noise interference range, including:

[0032] Determine whether there is a population distribution area within the above noise interference range;

[0033] If there is a population distribution area within the above noise interference range, the first distance between the above substation to be built and the population distribution area, the environmental data within the above first distance, the reflection area of ​​the buildings and trees at the above address to be planned, the second historical average temperature and the historical average humidity, the equipment input power of the above substation to be built and the noise frequency are obtained; wherein the above environmental data include: the average height of buildings and trees, the historical average wind speed, the first historical average temperature and the degree of terrain undulation;

[0034] Calculate the noise interference value according to the first distance, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, the terrain undulation, and the noise frequency;

[0035] When the noise interference value is less than the noise interference threshold and there is a communication base station within the electromagnetic signal interference range, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the buildings and trees, the historical average humidity, the second historical average temperature, the input power of the equipment, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface ratio and the preset ratio threshold;

[0036] When the noise interference value is less than the noise interference threshold and there is no communication base station within the electromagnetic signal interference range, the site selection result is determined according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold;

[0037] When the noise interference value is greater than the noise interference threshold, it is determined that the site selection result does not meet the site selection requirements;

[0038] If there is no population distribution area within the above noise interference range, then when there is a communication base station within the above electromagnetic signal interference range, the site selection result is determined according to the operating status of the above communication base station, the second distance between the above substation to be constructed and the above communication base station, the reflection area of ​​the above buildings and trees, the above historical average humidity, the above second historical average temperature, the above equipment input power, the above predicted environmental carrying capacity, the preset demand carrying capacity, the above flat surface proportion and the preset proportion threshold;

[0039] When there is no communication base station within the electromagnetic signal interference range, the site selection result is determined based on the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold.

[0040] Furthermore, the noise interference value is calculated based on the first distance, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, the terrain undulation, and the noise frequency, including:

[0041] Obtain the noise source sound value of the above-mentioned substation to be constructed;

[0042] The noise interference loss is calculated based on the first distance, the noise frequency, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature and the terrain undulation;

[0043] The difference between the noise source sound and the noise interference loss is calculated to obtain the noise interference value.

[0044] Furthermore, the site selection result is determined based on the predicted environmental carrying capacity, the preset substation carrying capacity requirement, the flat surface ratio and the preset ratio threshold, including:

[0045] When the predicted environmental carrying capacity meets the preset demand carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0046] When the above-mentioned predicted environmental carrying capacity does not meet the preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

[0047] Furthermore, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the buildings and trees, the historical average humidity, the second historical average temperature, the equipment input power, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface ratio and the preset ratio threshold, including:

[0048] If the operation state of the above communication base station is a normal operation state, obtaining the original electromagnetic signal interference value of the communication base station;

[0049] Based on the above second distance, the free space loss and the propagation loss are calculated;

[0050] According to the reflection area of ​​the above buildings and trees, the reflection loss is calculated;

[0051] Calculating environmental loss based on the historical average humidity and the second historical average temperature;

[0052] Based on the above input power, the additional loss is calculated;

[0053] Calculate the sum of the free space loss, the propagation loss, the reflection loss, the environmental loss and the additional loss to obtain the electromagnetic signal interference loss;

[0054] Obtaining a base station electromagnetic signal interference value according to a difference between the original electromagnetic signal interference value and the electromagnetic signal interference loss;

[0055] When the electromagnetic signal interference value of the base station is less than the preset electromagnetic interference threshold, the predicted environmental carrying capacity meets the preset required carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0056] When the electromagnetic signal interference value of the base station is not less than the preset electromagnetic interference threshold, it is determined that the site selection result does not meet the site selection requirements;

[0057] If the operation status of the above communication base station is out of service;

[0058] When the predicted environmental carrying capacity meets the preset demand carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0059] When the above-mentioned predicted environmental carrying capacity does not meet the above-mentioned preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

[0060] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0061] The present invention provides a substation site selection device based on geographic information, comprising:

[0062] Base station data acquisition module, population quantity prediction module, population quantity comparison module, substation and planned address data acquisition module, predicted environmental carrying capacity calculation module, flat surface proportion determination module and site selection result determination module;

[0063] The base station data acquisition module is used to acquire the first base station data in the first location area at the first preset distance and the second base station data in the second location area at the second preset distance with the address to be planned as the midpoint; wherein the base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell and the historical communication access volume per capita;

[0064] The population prediction module is used to calculate a first predicted population number corresponding to the first location area and a second predicted population number corresponding to the second location area based on the first base station data and the second base station data respectively;

[0065] The population comparison module is used to compare the first predicted population, the second predicted population and the preset population;

[0066] The substation and planned address data acquisition module is used to acquire geographic data of the address to be planned and substation data of the substation to be constructed if the first predicted population number or the second predicted population number is less than the preset population number; wherein the geographic data includes: geological information and topographic remote sensing images, the substation data includes: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total soil layer thickness, soil layer density and groundwater level depth;

[0067] The predicted environmental carrying capacity calculation module is used to calculate the predicted environmental carrying capacity of the address to be planned based on the geological information;

[0068] The flat surface ratio determination module is used to obtain the flat surface ratio of the address to be planned based on the landform remote sensing image and the preset landform assessment model;

[0069] The above-mentioned site selection result determination module is used to determine the site selection result based on the above-mentioned predicted environmental carrying capacity, the above-mentioned flat surface proportion, the above-mentioned electromagnetic signal interference range and the above-mentioned noise interference range.

[0070] The embodiments of the present invention have the following beneficial effects:

[0071] The present invention provides a method for selecting a substation site based on geographic information, the method comprising: firstly, taking the address to be planned as the midpoint, obtaining the first base station data in a first location area at a first preset distance, and the second base station data in a second location area at a second preset distance; wherein the base station data comprises: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell, and the historical communication access volume per capita; then, according to the first base station data and the second base station data, respectively, calculating the first population prediction number corresponding to the first location area, and the second population prediction number corresponding to the second location area; then, comparing the first population prediction number, the second population prediction number, and the preset population number; then, if the first population prediction number Or if the second population prediction number is less than the preset population number, the geographic data of the address to be planned and the substation data of the substation to be built are obtained; wherein the geographic data include: geological information and topographic remote sensing images, the substation data include: electromagnetic signal interference range, noise interference range and construction depth, and the geological information include: soil type, soil moisture content, total thickness of soil layer, soil layer density and groundwater level depth; then according to the geological information, the predicted environmental carrying capacity of the address to be planned is calculated; then according to the topographic remote sensing images and the preset topographic and geomorphic assessment model, the flat surface proportion of the address to be planned is obtained; finally, according to the predicted environmental carrying capacity, the flat surface proportion, the electromagnetic signal interference range and the noise interference range, the site selection result is determined. Therefore, the present invention finally determines the planning decision result of the address to be planned based on the geographic data of the address to be planned and the interference data of the substation to be built, so that the present invention avoids the influence of the personal experience of experts with large subjective factors on the site selection result, thereby reducing the error of the site selection result. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 It is a schematic flow chart of a method for substation site selection based on geographic information provided by an embodiment of the present invention.

[0073] Figure 2 It is a schematic diagram of the structure of a substation site selection device based on geographic information provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0074] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] like Figure 1As shown, an embodiment of the present invention provides a method for selecting a substation site based on geographic information, including:

[0076] Step S101: Taking the address to be planned as the midpoint, obtaining the first base station data in the first location area at the first preset distance, and the second base station data in the second location area at the second preset distance; wherein the above base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell, and the historical per capita communication access volume;

[0077] Specifically, the address to be planned, the first location area and the second location area are on the same straight line, but the first preset distance and the second preset distance may be different. For example, the first preset distance may be set to 50 km from the address to be planned, and the second preset distance may be set to 80 km from the address to be planned.

[0078] Step S102: Calculate a first predicted population number corresponding to a first location area and a second predicted population number corresponding to a second location area according to the first base station data and the second base station data respectively;

[0079] In a preferred embodiment, the first predicted population number corresponding to the first location area and the second predicted population number corresponding to the second location area are calculated based on the first base station data and the second base station data, respectively, including:

[0080] Calculate the first current population corresponding to the first location area according to the number of cells covered by each current base station in the first base station data, the historical per capita communication access volume, and the area of ​​each cell;

[0081] Specifically, the first current population is calculated according to the following formula:

[0082]

[0083] Where P total represents the first current population, λ represents the correction coefficient, which is generally set to 0.87-0.95, B represents the current number of base stations corresponding to the first base station data, C i represents the number of cells covered by the ith base station, C total Indicates the total number of cells covered by all base stations in the first location area, A j represents the number of communication accesses in the jth cell, D j represents the user density of the jth cell, S j represents the area of ​​the jth cell, R j represents the historical per capita communication access volume of the jth cell.

[0084] Calculate a first population growth value corresponding to the first location area according to the current number of base stations and the historical number of base stations in the first base station data;

[0085] Specifically, the first population growth value is determined according to the current number of base stations and the historical number of base stations in the first base station data, that is, first population growth value=(current number of base stations-historical number of base stations) / historical number of base stations.

[0086] The predicted first population is calculated based on the product of the first population growth value and the first current population;

[0087] Calculate the second current population corresponding to the second location area according to the number of cells covered by each current base station in the second base station data, the historical per capita communication access volume, and the area of ​​each cell;

[0088] Specifically, according to the same formula as that for calculating the first current population, the data corresponding to the first location area in the formula is replaced with the data corresponding to the second location area, and the second current population is calculated.

[0089] Calculate a second population growth value corresponding to the second location area according to the current number of base stations and the historical number of base stations in the second base station data;

[0090] Specifically, according to the same formula as that for calculating the first population growth value, the data corresponding to the first location area in the formula is replaced with the data corresponding to the second location area, and the second population growth value is calculated.

[0091] The second population forecast number is calculated based on the product of the second population growth value and the second current population number.

[0092] Step S103: comparing the first population prediction number, the second population prediction number and the preset population number;

[0093] Specifically, the first predicted population is compared with the preset population, and the second predicted population is compared with the preset population. The preset population is determined according to the population requirement for building roads and railways. The possibility of planning the traffic route between the first location area and the second location area for building roads or railways can be determined based on the comparison results.

[0094] Step S104: if the first predicted population number or the second predicted population number is less than the preset population number, then obtain the geographic data of the address to be planned and the substation data of the substation to be constructed; wherein the geographic data includes: geological information and topographic remote sensing images, the substation data includes: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total soil layer thickness, soil layer density and groundwater level depth;

[0095] Specifically, if the first predicted population number or the second predicted population number is smaller than the preset population number, it indicates that the possibility of constructing a highway or railway between the first location area and the second location area is low.

[0096] Specifically, the electromagnetic signal interference range and noise interference range of the substation can be determined according to the type and model of the substation. For example, in one embodiment, the electromagnetic signal interference range is a range with a radius of 10 kilometers (km) with the substation as the center, and the noise interference range is a range with a radius of 1 kilometer with the substation as the center.

[0097] In a preferred embodiment, it also includes:

[0098] If the first predicted population number and the second predicted population number are both greater than the preset population number, it is determined that the site selection result does not meet the site selection requirements.

[0099] Specifically, if the first predicted population number and the second predicted population number are both greater than the preset population numbers, it indicates that there is a high possibility of building a highway or railway between the first location area and the second location area. Therefore, the planned address between the first location area and the second location area does not meet the site selection requirements for building a substation.

[0100] In this preferred embodiment, if the first predicted population number and the second predicted population number are both greater than the preset population number, it is determined that the site selection result does not meet the site selection requirements.

[0101] Step S105: Calculate the predicted environmental carrying capacity of the address to be planned based on the above geological information;

[0102] In a preferred embodiment, the above-mentioned calculation of the predicted environmental carrying capacity of the address to be planned based on the above-mentioned geological information includes:

[0103] Determine the predicted soil cohesion of the planned address based on the above soil type and the above soil moisture content;

[0104] Specifically, soil types include clay, sand, gravel, etc.

[0105] Specifically, according to the preset soil cohesion matching mapping table, the soil type and soil moisture content are matched to obtain the soil cohesion that the substation will be subjected to after the construction of the planned address. It can be understood that the soil cohesion matching mapping table only shows part of the data of the soil cohesion matching mapping table, not all of the data. The above preset soil cohesion matching mapping table is shown in the following table:

[0106] Preset soil cohesion matching maps

[0107]

[0108] The predicted soil stress of the address to be planned is calculated based on the total thickness of the soil layer, the density of the soil layer and the construction depth;

[0109] Specifically, the predicted soil stress is calculated according to the following formula:

[0110]

[0111] In the formula, Q s It indicates the predicted soil stress in N, H indicates the construction depth in m, D indicates the total thickness of the soil layer in m, and σ indicates the soil density in N / m 3 , S e Indicates the construction foundation area of ​​the substation, unit: m 2 .

[0112] According to the above construction depth and the above groundwater level depth, the predicted water level stress is calculated;

[0113] The predicted water level stress is calculated according to the following formula:

[0114]

[0115] In the formula, Q w It represents the predicted water level stress in N, k represents the influence coefficient of groundwater level depth, which is determined based on the groundwater level depth, and γ represents the soil unit force in N / m 3 , determined based on soil type, K s Indicates soil permeability coefficient, unit: N / m 3 , determined based on soil moisture content, φ represents the internal friction angle, determined based on soil type, and h represents the depth of the groundwater level in meters.

[0116] The predicted environmental bearing capacity is calculated based on the predicted soil cohesion, the predicted soil stress and the predicted water level stress.

[0117] Specifically, the predicted environmental carrying capacity is calculated according to the following formula:

[0118]

[0119] That is, the calculation formula for predicting environmental carrying capacity can be expressed as:

[0120]

[0121] In the formula, Q total represents the predicted environmental carrying capacity, Q ult Indicates soil cohesion.

[0122] In this preferred embodiment, the predicted environmental carrying capacity of the address to be planned is calculated through geological information.

[0123] Step S106: Obtaining the flat surface ratio of the address to be planned based on the landform remote sensing image and the preset landform assessment model;

[0124] In a preferred embodiment, the preset topography and geomorphology assessment model includes: a spectral recognition layer, a spectral analysis layer and a surface proportion prediction layer; the flat surface proportion of the address to be planned is obtained according to the topography remote sensing image and the preset topography and geomorphology assessment model, including:

[0125] Input the landform remote sensing image into the preset landform assessment model, so that the spectral recognition layer sequentially performs preprocessing, normalization, image enhancement and spectral extraction on the landform remote sensing image to obtain spectral information corresponding to the landform remote sensing image;

[0126] Specifically, in the spectral recognition layer, the spectral preprocessing of the landform remote sensing image is first performed according to the following formula to obtain the landform remote sensing image after atmospheric correction:

[0127] I corrected =I raw -A atmpsp heric

[0128] In the formula, I corrected represents the topographic remote sensing image after atmospheric correction, I raw A represents the topographic remote sensing image of the input model, atmpspheric Represents the influence of atmosphere on topographic remote sensing images.

[0129] Subsequently, the spectral recognition layer normalizes the atmospherically corrected topographic remote sensing image according to the following formula to obtain the normalized topographic remote sensing image:

[0130]

[0131] In the formula, I normailized represents the normalized topographic remote sensing image, fx(Icorrected ) represents the pixel value of each pixel in the topographic remote sensing image after atmospheric correction, fx max Represents the maximum pixel value in the topographic remote sensing image after atmospheric correction, fx min Indicates the minimum pixel value in the geomorphic remote sensing image after atmospheric correction.

[0132] Subsequently, the spectral recognition layer enhances the normalized topographic remote sensing image according to the following formula:

[0133]

[0134] In the formula, I ′ represents the enhanced geomorphic remote sensing image, α3 and Both represent preset image enhancement coefficients.

[0135] Subsequently, the spectral recognition layer extracts the spectrum of the enhanced remote sensing image according to the following formula to obtain the spectral information corresponding to the remote sensing image:

[0136] F(I ′ )=(f1,f2,...,f n )=∫0 ∞ I ′ (λ)*R(λ)dλ

[0137] In the formula, F(I ′ ) represents the spectral information, f1,f2,...,f n represents the 1st, 2nd, ..., nth features extracted from the enhanced remote sensing image, I ′ (λ) represents the spectral wavelength of the enhanced landform remote sensing image, and R(λ) represents the reflectance function of the spectral wavelength, which is obtained through the preset neural network training.

[0138] Inputting the spectral information into the spectral analysis layer, so that the spectral analysis layer performs spectral analysis according to the spectral information to obtain a surface type analysis result of the address to be planned;

[0139] Specifically, the spectrum analysis layer analyzes the spectrum information according to the following formula to obtain the surface type analysis result of the address to be planned. The surface type analysis result includes the spectrum analysis result and the spectrum area analysis result corresponding to the spectrum analysis result:

[0140] C(λ)=[g(F(I ′ )),D1]={c(λ1),c(λ2),...,c(λ n )}

[0141] S(λ)=[ω(F(I ′)),D2]={s(λ1),s(λ2),...,s(λ n )}

[0142] In the formula, C(λ) represents the set of spectrum analysis results, S(λ) represents the set of spectrum area analysis results corresponding to the spectrum analysis results, g(F(I ′ )) represents the spectral identification analysis function corresponding to the spectral information, ω(F(I ′ )) represents the spectral area analysis function corresponding to the spectral information, D1 represents the deep learning model parameters of the spectral recognition analysis function, D2 represents the deep learning model parameters of the spectral area analysis function, c(λ n ) represents the spectral analysis result of the nth surface type, s(λ n ) represents the spectral area analysis result of the nth surface type.

[0143] The above-mentioned surface type analysis results are input into the above-mentioned surface proportion prediction layer, so that the above-mentioned surface proportion prediction layer predicts the surface proportion according to the above-mentioned surface type analysis results to obtain the above-mentioned flat surface proportion.

[0144] Specifically, the surface proportion prediction layer calculates the flat surface proportion according to the following formula:

[0145]

[0146] In the formula, p(c(λ i )) represents the proportion of flat surface, λ i The i-th spectral wavelength representing the flat surface type, s(λ i ) represents the spectral area analysis result corresponding to the i-th spectral wavelength of the flat surface type.

[0147] In this preferred embodiment, the flat surface proportion of the address to be planned is determined based on the topographic remote sensing image and a preset topographic assessment model.

[0148] Step S107: Determine the site selection result according to the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range and the noise interference range.

[0149] In a preferred embodiment, the site selection result is determined based on the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range, and the noise interference range, including:

[0150] Determine whether there is a population distribution area within the above noise interference range;

[0151] If there is a population distribution area within the above noise interference range, the first distance between the above substation to be built and the population distribution area, the environmental data within the above first distance, the reflection area of ​​the buildings and trees at the above address to be planned, the second historical average temperature and the historical average humidity, the equipment input power of the above substation to be built and the noise frequency are obtained; wherein the above environmental data include: the average height of buildings and trees, the historical average wind speed, the first historical average temperature and the degree of terrain undulation;

[0152] Calculate the noise interference value according to the first distance, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, the terrain undulation, and the noise frequency;

[0153] Preferably, the noise interference value is calculated based on the first distance, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, the terrain undulation and the noise frequency, including:

[0154] Obtain the noise source sound value of the above-mentioned substation to be constructed;

[0155] The noise interference loss is calculated based on the first distance, the noise frequency, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature and the terrain undulation;

[0156] Specifically, the noise interference loss is calculated according to the following formula:

[0157]

[0158] In the formula, S t represents the noise interference loss, d2 represents the first distance between the substation to be built and the population distribution area, α2 represents the preset noise attenuation coefficient, f2 represents the noise frequency emitted by the substation, and h b represents the average height of buildings and trees, k v The coefficient of wind speed on sound pressure, k b represents the blocking coefficient of buildings and trees to sound waves, V represents the historical average wind speed, k t represents the influence coefficient of temperature on sound pressure, T represents the first historical average temperature, c1 represents the influence coefficient of terrain on sound pressure, and c2 represents the degree of terrain undulation.

[0159] The difference between the noise source sound and the noise interference loss is calculated to obtain the noise interference value.

[0160] Specifically, the noise interference value is calculated according to the following formula:

[0161]

[0162] In the formula, S d represents the noise interference value, and S0 represents the noise source sound value.

[0163] When the noise interference value is less than the noise interference threshold and there is a communication base station within the electromagnetic signal interference range, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the buildings and trees, the historical average humidity, the second historical average temperature, the input power of the equipment, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface ratio and the preset ratio threshold;

[0164] Preferably, the noise interference threshold is set according to the specific situation of the number of users of different age groups in the population distribution area. For example, if the number of users under 16 years old or over 45 years old is relatively large, the noise interference threshold is set lower; if the number of users between 16 and 45 years old is relatively large, the noise interference threshold is set higher. The number of users of different age groups in the population distribution area can be determined based on field surveys.

[0165] Specifically, the operating status of the communication base station can be determined by initiating a request to the base station operator, and the base station operator returns a result according to the request.

[0166] Preferably, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the buildings and trees, the historical average humidity, the second historical average temperature, the equipment input power, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface proportion and the preset proportion threshold, including:

[0167] If the operation state of the above communication base station is a normal operation state, obtaining the original electromagnetic signal interference value of the communication base station;

[0168] Based on the above second distance, the free space loss and the propagation loss are calculated;

[0169] Specifically, the distance affects the electromagnetic signal interference attenuation loss, that is, the free space loss.

[0170] Specifically, the free space loss is calculated according to the following formula:

[0171]

[0172] Where, L d represents free space loss, d1 represents the second distance between the substation to be built and the communication base station, f1 represents the signal frequency, and c represents the speed of light.

[0173] Specifically, terrain, obstacles, etc. also affect the electromagnetic signal interference attenuation loss, that is, propagation loss.

[0174] The propagation loss is calculated according to the following formula:

[0175]

[0176] Where, L t represents propagation loss, k represents a preset constant based on environmental settings, d0 represents a preset reference distance, and α1 represents an attenuation exponent, which is generally 2-4 based on environmental settings.

[0177] According to the reflection area of ​​the above buildings and trees, the reflection loss is calculated;

[0178] Preferably, environmental factors such as buildings and trees also affect the electromagnetic signal interference attenuation loss.

[0179] Specifically, the reflection loss is calculated according to the following formula:

[0180] L r =R+10log 10 (A)

[0181] Where, L r represents reflection loss, R represents reflection coefficient, which usually takes a value between 0 and 1, and A represents the reflection area of ​​buildings and trees.

[0182] Calculating environmental loss based on the historical average humidity and the second historical average temperature;

[0183] Specifically, factors such as humidity and temperature also affect the electromagnetic signal interference attenuation loss, that is, environmental loss.

[0184] Specifically, the environmental loss is calculated according to the following formula:

[0185]

[0186] Where, L e represents environmental loss, k e represents the environmental loss coefficient, h represents the historical average humidity, h0 represents the reference humidity, T ′ represents the second historical average temperature, T0 represents the reference temperature, and n represents the temperature influence index.

[0187] Specifically, considering the influence of other non-ideal factors, such as the nonlinear characteristics of the device, additional additional losses need to be added.

[0188] Based on the above input power, the additional loss is calculated;

[0189] Specifically, the additional loss is calculated according to the following formula:

[0190] L a =C*log 10 (P in )

[0191] Where, L a represents additional loss, C represents equipment characteristic coefficient, P in Indicates input power.

[0192] Calculate the sum of the free space loss, the propagation loss, the reflection loss, the environmental loss and the additional loss to obtain the electromagnetic signal interference loss;

[0193] Specifically, the electromagnetic signal interference loss is calculated according to the following formula:

[0194] L s =L d +L r +L t +L e +L a

[0195] Where, L s Indicates electromagnetic signal interference loss

[0196] Obtaining a base station electromagnetic signal interference value according to a difference between the original electromagnetic signal interference value and the electromagnetic signal interference loss;

[0197] Specifically, the base station electromagnetic signal interference value is calculated according to the following formula:

[0198]

[0199] Where, L b represents the electromagnetic signal interference value of the base station, and L represents the original electromagnetic signal interference value.

[0200] When the electromagnetic signal interference value of the base station is less than the preset electromagnetic interference threshold, the predicted environmental carrying capacity meets the preset required carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0201] Specifically, the preset electromagnetic interference threshold is determined according to the anti-interference capability of the communication base station.

[0202] When the electromagnetic signal interference value of the base station is not less than the preset electromagnetic interference threshold, it is determined that the site selection result does not meet the site selection requirements;

[0203] If the operation status of the above communication base station is out of service;

[0204] When the predicted environmental carrying capacity meets the preset demand carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0205] Specifically, the preset percentage threshold is set according to the type and model of the substation.

[0206] When the above-mentioned predicted environmental carrying capacity does not meet the above-mentioned preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

[0207] When the noise interference value is less than the noise interference threshold and there is no communication base station within the electromagnetic signal interference range, the site selection result is determined according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold;

[0208] Preferably, the site selection result is determined according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold, including:

[0209] When the predicted environmental carrying capacity meets the preset demand carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirements;

[0210] When the above-mentioned predicted environmental carrying capacity does not meet the preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

[0211] When the noise interference value is greater than the noise interference threshold, it is determined that the site selection result does not meet the site selection requirements;

[0212] If there is no population distribution area within the above noise interference range, then when there is a communication base station within the above electromagnetic signal interference range, the site selection result is determined according to the operating status of the above communication base station, the second distance between the above substation to be constructed and the above communication base station, the reflection area of ​​the above buildings and trees, the above historical average humidity, the above second historical average temperature, the above equipment input power, the above predicted environmental carrying capacity, the preset demand carrying capacity, the above flat surface proportion and the preset proportion threshold;

[0213] Specifically, when there is no population distribution area within the noise interference range and there is a communication base station within the electromagnetic signal interference range, the basis for determining the site selection result is the same as the previous one, where there is a population distribution area within the noise interference range, the noise interference value is less than the noise interference threshold, and there is a communication base station within the above-mentioned electromagnetic signal interference range, and the judgment method is based on "the operating status of the above-mentioned communication base station, the second distance between the above-mentioned substation to be built and the above-mentioned communication base station, the reflection area of ​​the above-mentioned buildings and trees, the above-mentioned historical average humidity, the above-mentioned second historical average temperature, the above-mentioned equipment input power, the above-mentioned predicted environmental carrying capacity, the preset demand carrying capacity, the above-mentioned flat surface proportion and the preset proportion threshold to determine the site selection result."

[0214] When there is no communication base station within the electromagnetic signal interference range, the site selection result is determined based on the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold.

[0215] Specifically, when there is no population distribution area within the noise interference range and there is no communication base station within the electromagnetic signal interference range, the basis for determining the site selection result is the same as the previous judgment method of "determining the site selection result based on the above-mentioned predicted environmental carrying capacity, the preset substation carrying capacity demand value, the above-mentioned flat surface proportion and the preset proportion threshold" when there is a population distribution area within the noise interference range, the noise interference value is less than the noise interference threshold, and there is no communication base station within the above-mentioned electromagnetic signal interference range.

[0216] In this preferred embodiment, the site selection result is determined based on the predicted environmental carrying capacity, the proportion of flat surface, the electromagnetic signal interference range, and the noise interference range.

[0217] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0218] like Figure 2 As shown, an embodiment of the present invention provides a substation site selection device based on geographic information, including: a base station data acquisition module, a population quantity prediction module, a population quantity comparison module, a substation and planned address data acquisition module, a predicted environmental bearing capacity calculation module, a flat surface proportion determination module, and a site selection result determination module;

[0219] The base station data acquisition module is used to acquire the first base station data in the first location area at the first preset distance and the second base station data in the second location area at the second preset distance with the address to be planned as the midpoint; wherein the base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell and the historical communication access volume per capita;

[0220] The population prediction module is used to calculate a first predicted population number corresponding to the first location area and a second predicted population number corresponding to the second location area based on the first base station data and the second base station data respectively;

[0221] The population comparison module is used to compare the first predicted population, the second predicted population and the preset population;

[0222] The substation and planned address data acquisition module is used to acquire geographic data of the address to be planned and substation data of the substation to be constructed if the first predicted population number or the second predicted population number is less than the preset population number; wherein the geographic data includes: geological information and topographic remote sensing images, the substation data includes: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total soil layer thickness, soil layer density and groundwater level depth;

[0223] The predicted environmental carrying capacity calculation module is used to calculate the predicted environmental carrying capacity of the address to be planned based on the geological information;

[0224] The flat surface ratio determination module is used to obtain the flat surface ratio of the address to be planned based on the landform remote sensing image and the preset landform assessment model;

[0225] The above-mentioned site selection result determination module is used to determine the site selection result based on the above-mentioned predicted environmental carrying capacity, the above-mentioned flat surface proportion, the above-mentioned electromagnetic signal interference range and the above-mentioned noise interference range.

[0226] Preferably, each type of substation is provided with corresponding parameter information, such as electromagnetic signal interference range, noise interference range, construction planning information, attenuation loss model, etc. Therefore, the above substation device can obtain the electromagnetic signal interference range and noise interference range of the substation according to the type of substation.

[0227] Preferably, the above-mentioned substation site selection device can also obtain construction planning information according to the type and model of the substation, and the construction planning information includes the bearing capacity, construction depth, construction foundation area, flat surface ratio, etc. required for building the substation.

[0228] It should be noted that the above-mentioned substation site selection device is equipped with a Geographic Information System (GIS), which is a computer system used to capture, store, analyze and manage geographic data, such as collecting geographic data through GPS, remote sensing technology, investigation and measurement. Therefore, the above-mentioned substation site selection device can use the geographic information system to collect geological information and topographic remote sensing images of the address to be planned.

[0229] It should be noted that the above-mentioned substation site selection device is equipped with a bearing capacity prediction model for predicting environmental bearing capacity. The bearing capacity prediction model is obtained by training based on sample geological information and its corresponding environmental bearing capacity results, such as training a preset neural network through sample geological information and its corresponding environmental bearing capacity results to obtain a bearing capacity prediction model, wherein the preset neural network may include a feedforward neural network (FNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a long short-term memory network (LSTM), etc. Therefore, the above-mentioned substation site selection device inputs geological information into the bearing capacity prediction model to obtain the predicted environmental carrying capacity of the address to be planned output by the bearing capacity prediction model.

[0230] It should be noted that the above-mentioned substation site selection device is equipped with a topographic assessment model, which is trained based on sample topographic remote sensing images and their corresponding flat surface ratio results. Similar to the bearing capacity prediction model, the preset neural network can be trained based on the sample topographic remote sensing images and their corresponding flat surface ratio results to obtain the topographic assessment model.

[0231] It should be noted that the device embodiments described above are merely schematic, wherein the modules described above as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without creative work. The above schematic diagram is only an example of a substation site selection device based on geographic information, and does not constitute a limitation on a substation site selection device based on geographic information, and may include more or fewer components than shown in the figure, or a combination of certain components, or different components.

[0232] Compared with the prior art, by implementing the above-mentioned embodiments of the present invention, the influence of the personal experience of experts with a large subjective factor on the site selection result can be avoided, thereby reducing the error of the site selection result.

[0233] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for selecting a substation site based on geographic information, characterized in that: include: Taking the address to be planned as the midpoint, obtain the first base station data in the first location area at the first preset distance, and the second base station data in the second location area at the second preset distance; wherein the base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell, and the historical per capita communication access volume; Calculate a first predicted population number corresponding to a first location area and a second predicted population number corresponding to a second location area according to the first base station data and the second base station data respectively; Comparing the first predicted population number, the second predicted population number, and a preset population number; If the first predicted population number or the second predicted population number is less than the preset population number, the geographic data of the address to be planned and the substation data of the substation to be constructed are obtained; wherein the geographic data includes: geological information and topographic remote sensing images, the substation data includes: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total thickness of soil layer, soil layer density and groundwater level depth; Calculate the predicted environmental carrying capacity of the address to be planned based on the geological information; According to the topographic remote sensing image and the preset topographic assessment model, the flat surface ratio of the address to be planned is obtained; The site selection result is determined according to the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range and the noise interference range.

2. A method for selecting a substation site based on geographic information according to claim 1, characterized in that: Also includes: If the first predicted population number and the second predicted population number are both greater than the preset population number, it is determined that the site selection result does not meet the site selection requirements.

3. A method for selecting a substation site based on geographic information according to claim 1, characterized in that: The calculating, based on the first base station data and the second base station data, a first predicted population number corresponding to the first location area and a second predicted population number corresponding to the second location area comprises: Calculate the first current population corresponding to the first location area according to the number of cells covered by each current base station in the first base station data, the historical per capita communication access volume, and the area of ​​each cell; Calculate a first population growth value corresponding to the first location area according to the current number of base stations and the historical number of base stations in the first base station data; Calculating the first predicted population number according to the product of the first population growth value and the first current population number; Calculate the second current population corresponding to the second location area according to the number of cells covered by each current base station in the second base station data, the historical per capita communication access volume, and the area of ​​each cell; Calculate a second population growth value corresponding to the second location area according to the current number of base stations and the historical number of base stations in the second base station data; The second population forecast number is calculated based on the product of the second population growth value and the second current population number.

4. A method for selecting a substation site based on geographic information according to claim 3, characterized in that: The step of calculating the predicted environmental carrying capacity of the address to be planned based on the geological information includes: Determining predicted soil cohesion of the address to be planned according to the soil type and the soil moisture content; Calculate the predicted soil stress of the address to be planned according to the total thickness of the soil layer, the density of the soil layer and the construction depth; Calculating the predicted water level stress according to the construction depth and the groundwater level depth; The predicted environmental bearing capacity is calculated based on the predicted soil cohesion, the predicted soil stress and the predicted water level stress.

5. A method for selecting a substation site based on geographic information according to claim 4, characterized in that: The preset topography and geomorphology assessment model includes: a spectral recognition layer, a spectral analysis layer and a surface proportion prediction layer; the flat surface proportion of the address to be planned is obtained according to the topography remote sensing image and the preset topography and geomorphology assessment model, including: Inputting the landform remote sensing image into the preset landform assessment model, so that the spectral recognition layer sequentially performs preprocessing, normalization, image enhancement and spectral extraction on the landform remote sensing image to obtain spectral information corresponding to the landform remote sensing image; Inputting the spectral information into the spectral analysis layer, so that the spectral analysis layer performs spectral analysis according to the spectral information to obtain a surface type analysis result of the address to be planned; The surface type analysis result is input into the surface proportion prediction layer, so that the surface proportion prediction layer predicts the surface proportion according to the surface type analysis result to obtain the flat surface proportion.

6. A method for selecting a substation site based on geographic information according to claim 5, characterized in that: The determining of the site selection result according to the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range, and the noise interference range includes: Determine whether there is a population distribution area within the noise interference range; If there is a population distribution area within the noise interference range, then obtain the first distance between the substation to be built and the population distribution area, the environmental data within the first distance, the reflection area of ​​the buildings and trees at the address to be planned, the second historical average temperature and the historical average humidity, the equipment input power of the substation to be built and the noise frequency; wherein the environmental data include: the average height of buildings and trees, the historical average wind speed, the first historical average temperature and the degree of terrain undulation; Calculate a noise interference value according to the first distance, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, the terrain undulation, and the noise frequency; When the noise interference value is less than the noise interference threshold and there is a communication base station within the electromagnetic signal interference range, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the building and the tree, the historical average humidity, the second historical average temperature, the equipment input power, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface proportion and the preset proportion threshold; When the noise interference value is less than the noise interference threshold and there is no communication base station within the electromagnetic signal interference range, determining the site selection result according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold; If the noise interference value is greater than the noise interference threshold, it is determined that the site selection result does not meet the site selection requirement; If there is no population distribution area within the noise interference range, then when there is a communication base station within the electromagnetic signal interference range, the site selection result is determined according to the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the building and the trees, the historical average humidity, the second historical average temperature, the equipment input power, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface proportion and the preset proportion threshold; When there is no communication base station within the electromagnetic signal interference range, the site selection result is determined according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold.

7. A method for selecting a substation site based on geographic information according to claim 6, characterized in that: The noise interference value is calculated according to the first distance, the average height of the building and the tree, the historical average wind speed, the first historical average temperature, the terrain undulation, and the noise frequency, including: Obtaining the noise source sound value of the substation to be constructed; Calculate the noise interference loss according to the first distance, the noise frequency, the average height of the buildings and trees, the historical average wind speed, the first historical average temperature, and the terrain undulation; The difference between the noise source sound and the noise interference loss is calculated to obtain a noise interference value.

8. A method for selecting a substation site based on geographic information according to claim 7, characterized in that: The determining of the site selection result according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface proportion and the preset proportion threshold value includes: When the predicted environmental carrying capacity meets the preset required carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirement; When the predicted environmental carrying capacity does not meet the preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

9. A method for selecting a substation site based on geographic information according to claim 8, characterized in that: The determining of the site selection result according to the operating state of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflection area of ​​the building and the tree, the historical average humidity, the second historical average temperature, the equipment input power, the predicted environmental carrying capacity, the preset demand carrying capacity, the flat surface proportion and the preset proportion threshold, includes: If the operation state of the communication base station is a normal operation state, obtaining the original electromagnetic signal interference value of the communication base station; According to the second distance, a free space loss and a propagation loss are calculated; Calculating reflection loss according to the reflection areas of the buildings and trees; Calculating environmental loss according to the historical average humidity and the second historical average temperature; According to the input power, additional loss is calculated; Calculating the sum of the free space loss, the propagation loss, the reflection loss, the environmental loss and the additional loss to obtain the electromagnetic signal interference loss; Obtaining a base station electromagnetic signal interference value according to a difference between the original electromagnetic signal interference value and the electromagnetic signal interference loss; When the electromagnetic signal interference value of the base station is less than the preset electromagnetic interference threshold, the predicted environmental carrying capacity meets the preset required carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirement; When the electromagnetic signal interference value of the base station is not less than a preset electromagnetic interference threshold, determining that the site selection result does not meet the site selection requirements; If the operation state of the communication base station is an outage state; When the predicted environmental carrying capacity meets the preset required carrying capacity, and the flat surface ratio is not less than the preset ratio threshold, it is determined that the site selection result meets the site selection requirement; When the predicted environmental carrying capacity does not meet the preset demand carrying capacity, it is determined that the site selection result does not meet the site selection requirements.

10. A substation site selection device based on geographic information, characterized in that: include: Base station data acquisition module, population quantity prediction module, population quantity comparison module, substation and planned address data acquisition module, predicted environmental carrying capacity calculation module, flat surface proportion determination module and site selection result determination module; The base station data acquisition module is used to acquire the first base station data in the first location area at the first preset distance and the second base station data in the second location area at the second preset distance with the address to be planned as the midpoint; wherein the base station data includes: the current number of base stations, the historical number of base stations, the number of cells covered by the current base station, the area of ​​each cell and the historical communication access per capita; The population prediction module is used to calculate a first predicted population number corresponding to a first location area and a second predicted population number corresponding to a second location area according to the first base station data and the second base station data respectively; The population comparison module is used to compare the first predicted population, the second predicted population and a preset population; The substation and planned address data acquisition module is used to acquire geographic data of the address to be planned and substation data of the substation to be constructed if the first predicted population number or the second predicted population number is less than the preset population number; wherein the geographic data includes: geological information and topographic remote sensing images, the substation data includes: electromagnetic signal interference range, noise interference range and construction depth, and the geological information includes: soil type, soil moisture content, total soil layer thickness, soil layer density and groundwater level depth; The predicted environmental carrying capacity calculation module is used to calculate the predicted environmental carrying capacity of the address to be planned based on the geological information; The flat surface ratio determination module is used to obtain the flat surface ratio of the address to be planned based on the landform remote sensing image and a preset landform assessment model; The site selection result determination module is used to determine the site selection result according to the predicted environmental carrying capacity, the flat surface ratio, the electromagnetic signal interference range and the noise interference range.

Images