A substation site selection method and device based on geographic information

Abstract

The application discloses a substation site selection method and device based on geographic information, and the method comprises the following steps: taking a to-be-planned address as a midpoint, acquiring 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 population prediction number or the second population prediction number is less than a preset population number, acquiring geographic data and substation data of the to-be-planned address; calculating a predicted environmental bearing capacity according to the geographic data; obtaining a flat ground surface proportion of the to-be-planned address according to the remote sensing image and a preset topographic feature evaluation model; and finally determining a site selection result according to the predicted environmental bearing capacity, the flat ground surface proportion, an electromagnetic signal interference range and a noise interference range. By implementing the application, the influence of subjective factors, such as personal experience of experts, on the site selection result can be avoided, and the error of the site selection result is reduced.

Description

Technical Field

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

[0002] 35kV substations are a critical distribution link in the power system, responsible for converting high-voltage electricity into low-voltage power and efficiently distributing it to users. Proper site selection is crucial for ensuring power system stability, reducing construction costs, and improving power supply reliability. Inappropriate site selection can lead to a range of problems, including insufficient power supply radius, increased failure rates, wasted investment, and environmental damage.

[0003] Currently, the primary method for site selection for 35 kV substations is qualitative analysis, which involves collecting information through expert evaluations and questionnaires to make comprehensive decisions about the site. However, this qualitative analysis process relies too heavily on the individual experience of experts, potentially influencing the site selection decisions based on subjective factors. This can lead to biased results in 35 kV substation site selection. 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 a large subjective factor on the site selection result, thereby reducing the error of the site selection result.

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

[0006] Taking the address to be planned as the midpoint, obtain data for a first base station in a first location area at a first preset distance, and data for a second base station in a second location area at a 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;

[0007] Calculating 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;

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

[0009] If the first predicted population number or the second predicted population number is less than the preset population number, obtaining geographic data of the address to be planned and 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;

[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 ratio of the planned address is obtained;

[0012] The site selection result is determined based on the above-mentioned predicted environmental carrying capacity, the above-mentioned flat surface ratio, 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] Furthermore, 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 a first current population corresponding to the first location area based on 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 based on the current number of base stations and the historical number of base stations in the first base station data;

[0018] Calculating the first population forecast based on the product of the first population growth value and the first current population;

[0019] Calculate a second current population corresponding to the second location area based on 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] Calculating a second population growth value corresponding to the second location area based on 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 planned address 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 soil moisture content;

[0024] Calculate the predicted soil stress of the planned address based on the total thickness of the soil layer, the density of the soil layer, and the construction depth;

[0025] Based on 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 landform 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 based on the topography remote sensing image and the preset topography and landform assessment model, including:

[0028] 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;

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

[0030] The above surface type analysis result is input into the above surface proportion prediction layer, so that the above surface proportion prediction layer performs surface proportion prediction according to the above surface type analysis result to obtain the above 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 populated area within the noise interference range, obtain the first distance between the substation to be constructed and the populated area, environmental data within the first distance, the reflective area of ​​buildings and trees at the planned address, the second historical average temperature and the historical average humidity, the equipment input power of the substation to be constructed, and the noise frequency; wherein the environmental data includes: the average height of buildings and trees, the historical average wind speed, the first historical average temperature, and the degree of terrain undulation;

[0034] Calculating a noise interference value 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;

[0035] When the noise interference value is less than the noise interference threshold and a communication base station exists within the electromagnetic signal interference range, the site selection result is determined based on the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflective 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;

[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 based on the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface ratio and the preset ratio threshold;

[0037] 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 requirements;

[0038] If there is no populated 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 based on the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflective 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;

[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 ratio and the preset ratio 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] Obtaining the noise source sound value of the substation to be constructed;

[0042] Calculating noise interference loss 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, the site selection result is determined to meet 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 based on the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflective 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 operating state of the above-mentioned communication base station is a normal operating state, obtaining the original electromagnetic signal interference value of the communication base station;

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

[0050] Based on the reflection areas 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] 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;

[0054] Obtaining a base station electromagnetic signal interference value based on 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, the site selection result is determined to meet 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 operating status of the above-mentioned communication base station is an outage state;

[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, the site selection result is determined to meet 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 prediction module, population 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 configured to acquire data on a first base station within a first location area at a first preset distance, and data on a second base station within a second location area at a 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 historical per capita communication access volume;

[0064] The population prediction module is configured to calculate a first predicted population size corresponding to the first location area and a second predicted population size 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 configured to compare the first predicted population, the second predicted population, and the preset population;

[0066] The substation and planned address data acquisition module is configured to acquire geographic data of the planned address and substation data of the substation to be constructed if the first predicted population or the second predicted population is less than the preset population; 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 a 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 ratio, 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 data of a first base station in a first location area at a first preset distance, and the data of a second base station 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, based on the first base station data and the second base station data, respectively, calculating the first population forecast number corresponding to the first location area and the second population forecast number corresponding to the second location area; then, comparing the first population forecast number, the second population forecast number, and the preset population number; and then, if the first population forecast number Or if the second population forecast is less than the preset population, 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 include: soil type, soil moisture content, total thickness of soil layer, soil layer density and groundwater level depth; then, based on the geological information, the predicted environmental carrying capacity of the address to be planned is calculated; then, based on the topographic remote sensing images and the preset topographic and geomorphological assessment model, the flat surface ratio of the address to be planned is obtained; finally, based on the predicted environmental carrying capacity, the flat surface ratio, 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 constructed, so that the present invention avoids the influence of the personal experience of experts with a large subjective factor on the site selection result, thereby reducing the error of the site selection result. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 The figure is a flow chart of a method for selecting a substation site based on geographic information provided by one embodiment of the present invention.

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

[0074] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall 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: With the address to be planned as the midpoint, obtain data of a first base station in a first location area at a first preset distance, and data of a second base station in a second location area at a 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;

[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: Calculating 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;

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

[0080] Calculate a first current population corresponding to the first location area based on 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 i-th 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 based on 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] Calculating the first population forecast based on the product of the first population growth value and the first current population;

[0087] Calculate a second current population corresponding to the second location area based on 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 to calculate the second current population.

[0089] Calculating a second population growth value corresponding to the second location area based on 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 to calculate the second population growth value.

[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 a preset population, and the second predicted population is compared with a preset population. The preset population is determined based on the population requirement for highway or railway construction. Based on the comparison results, the feasibility of planning a transportation route between the first location area and the second location area for highway or railway construction can be determined.

[0094] Step S104: If the first predicted population number or the second predicted population number is less than the preset population number, obtaining geographic data of the address to be planned and 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 further comprises:

[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 number, 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 planned address based on the geological information.

[0102] In a preferred embodiment, the above-mentioned calculation of the predicted environmental carrying capacity of the to-be-planned address 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 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 the soil water content are matched to obtain the soil cohesion force that the transformer substation will be subjected to after being constructed at the address to be planned. 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 the data. The preset soil cohesion matching mapping table is shown in the following table:

[0106] Pre-set soil cohesion matching mapping table

[0107]

[0108] According to the total thickness of the soil layer, the density of the soil layer and the construction depth, the predicted soil stress of the address to be planned is calculated.

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

[0110]

[0111] In the formula, Q s represents the predicted soil stress, the unit is N, H represents the construction depth, the unit is m, D represents the total thickness of the soil layer, the unit is m, and σ represents the density of the soil layer, the unit is N / m 3 , S e represents the construction foundation area of the transformer substation, the unit is m 2 .

[0112] According to the construction depth and the underground water 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 represents the predicted water level stress, the unit is N, k represents the underground water level depth influence coefficient, which is determined based on the underground water level depth, γ represents the soil unit force, the unit is N / m 3 , which is determined based on the soil type, K s represents the soil permeability coefficient, the unit is N / m 3 , which is determined based on the soil water content, φ represents the internal friction angle, which is determined based on the soil type, and h represents the underground water level depth, the unit is m.

[0116] According to the predicted soil cohesion, the predicted soil stress and the predicted water level stress, the predicted environmental bearing capacity is calculated.

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

[0118]

[0119] The calculation formula of the predicted environmental carrying capacity can be expressed as:

[0120]

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

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

[0123] Step S106: According to the above geomorphological remote sensing image and the preset topographic and geomorphic evaluation model, the flat ground surface proportion of the address to be planned is obtained.

[0124] In a preferred embodiment, the above-mentioned preset topographic and geomorphic evaluation model comprises a spectrum recognition layer, a spectrum analysis layer and a ground surface proportion prediction layer; and the flat ground surface proportion of the address to be planned is obtained according to the above-mentioned geomorphological remote sensing image and the preset topographic and geomorphic evaluation model, comprising:

[0125] The above-mentioned geomorphological remote sensing image is input into the above-mentioned preset topographic and geomorphic evaluation model, so that the spectrum recognition layer sequentially performs preprocessing, normalization, image enhancement and spectrum extraction on the above-mentioned geomorphological remote sensing image to obtain the spectrum information corresponding to the above-mentioned geomorphological remote sensing image.

[0126] Specifically, in the spectrum recognition layer, the following formula is used to perform spectrum preprocessing on the geomorphological remote sensing image to obtain the geomorphological remote sensing image after atmospheric correction:

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

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

[0129] Subsequently, the spectrum recognition layer performs normalization processing on the geomorphological remote sensing image after atmospheric correction according to the following formula to obtain the normalized geomorphological remote sensing image:

[0130]

[0131] In the formula, I normailized represents the normalized geomorphological remote sensing image, fx(Icorrected ) represents the pixel value of each pixel point in the atmospheric corrected topographic remote sensing image, fx max ) represents the maximum pixel value in the atmospheric corrected topographic remote sensing image, fx min ) represents the minimum pixel value in the atmospheric corrected topographic remote sensing image.

[0132] Subsequently, the spectral recognition layer performs enhancement processing on the normalized topographic remote sensing image according to the following formula:

[0133]

[0134] In the formula, I ′ ) represents the topographic remote sensing image after enhancement processing, and α3 and both represent preset image enhancement coefficients.

[0135] Subsequently, the spectral recognition layer performs spectral extraction on the topographic remote sensing image after enhancement processing according to the following formula to obtain the spectral information corresponding to the topographic remote sensing image:

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

[0137] In the formula, F(I ′ ) represents the spectral information, f1, f2,..., fn n represent the first, second,..., n features extracted from the topographic remote sensing image after enhancement processing, I ′ (λ) represents the spectral wavelength of the topographic remote sensing image after enhancement processing, and R(λ) represents the reflectivity function of the spectral wavelength, which is obtained by preset neural network training.

[0138] The above spectral information is input to the above spectral analysis layer, so that the spectral analysis layer performs spectral analysis according to the above spectral information to obtain the surface type analysis result of the address to be planned;

[0139] Specifically, the spectral analysis layer analyzes the spectral information according to the following formula to obtain the surface type analysis result of the address to be planned, and the surface type analysis result includes the spectral analysis result and the spectral area analysis result corresponding to the spectral 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 a set of spectral analysis results, S(λ) represents a set of spectral area analysis results corresponding to the spectral analysis results, g(F(I ′ )) represents a spectral recognition analysis function corresponding to the spectral information, ω(F(I ′ )) represents a spectral area analysis function corresponding to the spectral information, D1 represents a deep learning model parameter of the spectral recognition analysis function, D2 represents a deep learning model parameter of the spectral area analysis function, c(λ n ) represents the spectral analysis result of the nth ground surface type, and s(λ n ) represents the spectral area analysis result of the nth ground surface type.

[0143] The ground surface type analysis result is input into the ground surface proportion prediction layer, so that the ground surface proportion prediction layer predicts the ground surface proportion according to the ground surface type analysis result, and the flat ground surface proportion is obtained.

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

[0145]

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

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

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

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

[0150] determining whether there is a population distribution area in the noise interference range;

[0151] If there is a populated area within the noise interference range, obtain the first distance between the substation to be constructed and the populated area, environmental data within the first distance, the reflective area of ​​buildings and trees at the planned address, the second historical average temperature and the historical average humidity, the equipment input power of the substation to be constructed, and the noise frequency; wherein the environmental data includes: the average height of buildings and trees, the historical average wind speed, the first historical average temperature, and the degree of terrain undulation;

[0152] Calculating a noise interference value 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;

[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] Obtaining the noise source sound value of the substation to be constructed;

[0155] Calculating noise interference loss 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] Where 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 Indicates the influence 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 value and a communication base station exists in the electromagnetic signal interference range, a site selection result is determined according to the operating state of the communication base station, the second distance between the to-be-constructed transformer substation 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 ground surface proportion, and the preset proportion threshold value.

[0164] Preferably, the noise interference threshold value is set according to the number of users in different age stages in the population distribution area. For example, if the number of users in the stage of 16 years old or below or 45 years old or above is relatively large, the noise interference threshold value is set to be relatively low. If the number of users in the stage of 16-45 years old is relatively large, the noise interference threshold value is set to be relatively high. The number of users in different age stages in the population distribution area can be determined according to field investigation.

[0165] Specifically, the operating state of the communication base station can be determined by initiating a request to a 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 state of the communication base station, the second distance between the to-be-constructed transformer substation 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 ground surface proportion, and the preset proportion threshold value, including:

[0167] If the operating state of the communication base station is a normal operating state, an original electromagnetic signal interference value of the communication base station is obtained.

[0168] According to the second distance, a free space loss and a propagation loss are calculated.

[0169] Specifically, the distance far or near 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] In the formula, L d represents the free space loss, d1 represents the second distance between the to-be-constructed transformer substation 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, generally taking a value of 2-4 based on environmental settings.

[0177] Based on the reflection areas 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] 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;

[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 based on 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, the site selection result is determined to meet 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 operating status of the above-mentioned communication base station is an outage state;

[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, the site selection result is determined to meet the site selection requirements;

[0205] Specifically, the preset ratio 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 based on the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface ratio and the preset ratio threshold;

[0208] Preferably, 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:

[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, the site selection result is determined to meet 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] 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 requirements;

[0212] If there is no populated 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 based on the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflective 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;

[0213] Specifically, when there is no population distribution area in the noise interference range and there is a communication base station in the electromagnetic signal interference range, the basis for determining the site selection result is the same as the previous judgment mode corresponding to the condition that there is a population distribution area in the noise interference range, the noise interference value is less than the noise interference threshold, and there is a communication base station in the above electromagnetic signal interference range, that is, the basis for determining the site selection result is the same as the judgment mode of "determining the site selection result according to the predicted environmental carrying capacity, the preset substation carrying capacity demand value, the flat ground surface ratio, and the preset ratio threshold."

[0214] When there is no communication base station in the above electromagnetic signal interference range, the site selection result is determined according to the predicted environmental carrying capacity, the preset substation carrying capacity demand value, the flat ground surface ratio, and the preset ratio threshold.

[0215] Specifically, when there is no population distribution area in the noise interference range and there is no communication base station in the electromagnetic signal interference range, the basis for determining the site selection result is the same as the previous judgment mode corresponding to the condition that there is a population distribution area in the noise interference range, the noise interference value is less than the noise interference threshold, and there is no communication base station in the above electromagnetic signal interference range, that is, the basis for determining the site selection result is the same as the judgment mode of "determining the site selection result according to the predicted environmental carrying capacity, the preset substation carrying capacity demand value, the flat ground surface ratio, and the preset ratio threshold."

[0216] In this preferred embodiment, the site selection result is determined according to the predicted environmental carrying capacity, the flat ground surface ratio, the electromagnetic signal interference range, and the noise interference range.

[0217] On the basis of the above-mentioned method embodiment, the application correspondingly provides a device embodiment.

[0218] As shown in Figure 2 An embodiment of the application provides a substation site selection device based on geographic information, which comprises a base station data acquisition module, a population quantity prediction module, a population quantity comparison module, a substation and planning address data acquisition module, a predicted environmental carrying capacity calculation module, a flat ground surface ratio determination module, and a site selection result determination module.

[0219] The base station data acquisition module is used to acquire first base station data in a first position area at a first preset distance and second base station data in a second position area at a second preset distance with the planning address as the midpoint, wherein the base station data comprises the current base station quantity, the historical base station quantity, the current base station covered cell quantity, the area of each cell, and the historical communication access quantity per capita.

[0220] The population quantity prediction module is configured to calculate a first population prediction quantity corresponding to the first location area and a second population prediction quantity corresponding to the second location area according to the first base station data and the second base station data, respectively.

[0221] The population quantity comparison module is configured to compare the first population prediction quantity, the second population prediction quantity, and a preset population quantity.

[0222] The substation and planning address data acquisition module is configured to acquire geographic data of the planning address and substation data of the to-be-constructed substation if the first population prediction quantity or the second population prediction quantity is less than the preset population quantity, wherein the geographic data includes geological information and a topographic remote sensing image, the substation data includes an electromagnetic signal interference range, a noise interference range, and a construction depth, and the geological information includes soil type, soil water content, total soil thickness, soil density, and underground water level depth.

[0223] The predicted environment bearing capacity calculation module is configured to calculate a predicted environment bearing capacity of the planning address according to the geological information.

[0224] The flat ground surface proportion determination module is configured to obtain a flat ground surface proportion of the planning address according to the topographic remote sensing image and a preset topographic feature evaluation model.

[0225] The site selection result determination module is configured to determine a site selection result according to the predicted environment bearing capacity, the flat ground surface proportion, the electromagnetic signal interference range, and the noise interference range.

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

[0227] Preferably, the 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 a bearing capacity required for constructing the substation, a construction depth, a construction foundation area, a flat ground surface proportion, and the like.

[0228] It should be noted that the aforementioned substation site selection device is equipped with a Geographic Information System (GIS), a computer system used to capture, store, analyze, and manage geographic data, such as those collected through GPS, remote sensing technology, surveys, and measurements. Therefore, the aforementioned substation site selection device can utilize the GIS to collect geological information and topographical remote sensing images of the proposed site.

[0229] It should be noted that the aforementioned substation site selection device is equipped with a bearing capacity prediction model for predicting environmental bearing capacity. The bearing capacity prediction model is trained based on sample geological information and its corresponding environmental bearing capacity results. For example, a preset neural network is trained using the sample geological information and its corresponding environmental bearing capacity results to obtain the bearing capacity prediction model. 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 aforementioned substation site selection device inputs geological information into the bearing capacity prediction model and obtains the predicted environmental carrying capacity of the address to be planned as output by the bearing capacity prediction model.

[0230] It should be noted that the above-mentioned substation site selection device is equipped with a topography and geomorphology assessment model, which is trained based on sample topography 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 sample topography remote sensing images and their corresponding flat surface ratio results to obtain a topography and geomorphology 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 present embodiment. In addition, in the 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 making any creative effort. 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. It 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, which has a relatively large subjective factor, on the site selection results can be avoided, thereby reducing the error of the site selection results.

[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 principles 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 substation site selection based on geographic information, characterized in that: include: Taking the address to be planned as the midpoint, obtain data for a first base station in a first location area at a first preset distance, and data for a second base station in a second location area at a 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 current population corresponding to the first location area based on 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 based on the current number of base stations and the historical number of base stations in the first base station data; Calculating a first population forecast based on the product of the first population growth value and the first current population; Calculate a second current population corresponding to the second location area based on 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; Calculating a second population growth value corresponding to the second location area based on the current number of base stations and the historical number of base stations in the second base station data; Calculating a second population forecast based on the product of the second population growth value and the second current population; Comparing the first predicted population number, the second predicted population number, and the preset population number; If the first predicted population number or the second predicted population number is less than the preset population number, obtaining geographic data of the address to be planned and 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; Determining predicted soil cohesion of the planned address based on the soil type and the soil moisture content; Calculating the predicted soil stress of the planned address based on the total thickness of the soil layer, the density of the soil layer, and the construction depth; Calculating a predicted water level stress according to the construction depth and the groundwater level depth; Calculating a predicted environmental bearing capacity based on the predicted soil cohesion, the predicted soil stress, and the predicted water level stress; Obtaining the proportion of flat surface at the address to be planned based on the landform remote sensing image and a preset landform assessment model; A 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.

2. A method for substation site selection 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. The method for selecting a substation site based on geographic information according to claim 1, characterized in that: The preset topography and landform 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 based on the topography remote sensing image and the preset topography and landform 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 spectrum 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 performs surface proportion prediction according to the surface type analysis result to obtain the flat surface proportion.

4. The method for selecting a substation site based on geographic information according to claim 3, characterized in that: The determining of a 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 populated area within the noise interference range, obtain a first distance between the substation to be constructed and the populated area, environmental data within the first distance, the reflective area of ​​buildings and trees at the planned address, the second historical average temperature and the historical average humidity, the equipment input power of the substation to be constructed, and the noise frequency; wherein the environmental data includes: the average height of buildings and trees, the historical average wind speed, the first historical average temperature, and the degree of terrain undulation; Calculating a noise interference value 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; When the noise interference value is less than the noise interference threshold and a communication base station exists within the electromagnetic signal interference range, determining a site selection result based on the operating status of the communication base station, the second distance between the substation to be constructed and the communication base station, the reflective 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; 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 a site selection result according to the predicted environmental carrying capacity, the preset substation carrying capacity requirement value, the flat surface ratio, and the preset ratio threshold; If the noise interference value is greater than the noise interference threshold, determining that the site selection result does not meet the site selection requirements; 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 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; 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.

5. The method for selecting a substation site based on geographic information according to claim 4, characterized in that: The calculating of 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 includes: Obtaining a noise source sound value of the substation to be constructed; Calculating a noise interference loss 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; The difference between the noise source sound and the noise interference loss is calculated to obtain a noise interference value.

6. The 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 preset substation carrying capacity requirement value, the flat surface ratio and the preset ratio threshold 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, determining 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.

7. The method for selecting a substation site based on geographic information according to claim 6, characterized in that: The determining of the site selection result 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 reflective 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 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; Calculating free space loss and propagation loss based on the second distance; Calculating reflection loss based on the reflection areas of the buildings and trees; Calculating environmental loss based on the historical average humidity and the second historical average temperature; Calculating additional losses based on the input power; Calculating the sum of the free space loss, the propagation loss, the reflection loss, the environmental loss, and the additional loss to obtain an 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, determining 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.

8. A substation site selection device based on geographic information, characterized in that: include: Base station data acquisition module, population prediction module, population 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 configured to acquire, with the address to be planned as the midpoint, data of a first base station in a first location area at a first preset distance, and data of a second base station in a second location area at a 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; The population prediction module is configured to calculate a first current population corresponding to a first location area based on 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 based on the current number of base stations and the historical number of base stations in the first base station data; calculate a first population prediction based on the product of the first population growth value and the first current population; calculate a second current population corresponding to a second location area based on 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 based on the current number of base stations and the historical number of base stations in the second base station data; and calculate a second population prediction based on the product of the second population growth value and the second current population. The population comparison module is configured to compare the first predicted population, the second predicted population, and a preset population; The substation and planned address data acquisition module is configured 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 bearing capacity calculation module is used to determine the predicted soil cohesion of the address to be planned based on the soil type and the soil moisture content; calculate the predicted soil stress of the address to be planned based on the total thickness of the soil layer, the soil layer density and the construction depth; calculate the predicted water level stress based on the construction depth and the groundwater level depth; and calculate the predicted environmental bearing capacity based on the predicted soil cohesion, the predicted soil stress and the predicted water level stress; 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.

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