Urban distribution network house preset distribution optimization method and system based on GIS (Geographic Information System)

Abstract

The invention relates to a GIS (Geographic Information System)-based method and a GIS-based system for optimizing preset stationing of an urban network distribution station house. The method comprises the following steps of: acquiring station construction related data of the existing network distribution station house in a city; setting a surrounding environment threshold value according to the station building related data; scanning the preset point distribution area by using a GIS technology to obtain a preset point distribution position and corresponding station building related data; performing station establishment analysis on the station establishment related data corresponding to the preset point distribution position to obtain a station establishment analysis result, and obtaining a surrounding environment comprehensive value of the preset point distribution position based on the station establishment analysis result; if the surrounding environment comprehensive value of the preset point distribution position is within the surrounding environment threshold range, marking the preset point distribution position as a station building position; performing multi-angle analysis on the station building position to obtain a multi-angle analysis result; integrating the surrounding environment comprehensive value and the multi-angle analysis result to obtain a station building evaluation value of the station building position, and generating a station building evaluation list; according to the invention, the preset distribution points of the power distribution network houses are reasonably planned, the line loss is reduced, and the structure of the power distribution network is optimized.

Description

Technical Field

[0001] The present invention relates to the field of urban distribution network planning, and mainly to a method and system for optimizing the preset layout of urban distribution network stations based on GIS. Background Art

[0002] With the development of cities, the demand for electricity continues to increase, and the construction of urban infrastructure has also put forward higher requirements for electricity. As the last link connecting power plants and users, the distribution network is directly related to whether users can obtain stable and high-quality electricity. An efficient and reliable distribution network can ensure the safe transmission of electricity, meet the needs of different users, and ensure the normal operation of the city. Reasonable distribution network layout can reduce network losses and improve the efficiency of power transmission. With the increase in electricity demand, reducing network losses is of great significance for saving energy and reducing power supply costs. However, the current traditional distribution network site layout method has obvious limitations. On the one hand, it mainly relies on the experience of planners to make decisions, lacks scientific analysis methods and objective data support, and this experience-dominated approach is easily affected by personal subjective factors. Different planners may make very different site layout plans, resulting in uncertainty in the results. Moreover, experience is often difficult to adapt to the changes brought about by the rapid development of cities, and it is difficult to conduct a comprehensive and accurate analysis of the complex urban environment, making it difficult to achieve global optimization of the site layout plan.

[0003] For example, CN101930563A "A method for planning and designing a power grid based on regional power supply" discloses "adopting a typical power supply model that defines the main components and key points of the power supply system, such as the power grid structure, power supply units and power grid equipment, the planning area is divided into power supply areas of different levels, related influences but independent of each other according to functions, geographical locations, administrative divisions and other conditions, and then starting from the economic and social development and electricity demand of each power supply area, a bottom-up planning and design sequence is adopted to formulate a power grid planning and design plan for each power supply area, and finally a power grid planning and design plan for the planning area is formed through combined optimization". However, the method is based on a bottom-up planning process and may face difficulties in data collection, analysis and integration, and has weak flexibility and difficulty in quickly adapting to the specific needs and changes of different regions. In addition, the method focuses on the functional layout of the distribution network, lacks consideration of environmental factors such as topography, traffic convenience, and magnetic noise, resulting in inaccurate planning results. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present application provides a GIS-based urban distribution network station preset layout optimization method and system.

[0005] The technical solution of this application is as follows:

[0006] The method for optimizing the preset layout of urban distribution network houses based on GIS comprises:

[0007] Obtaining the data related to the construction of existing distribution network buildings in the city; setting the surrounding environment threshold based on the data related to the construction of existing distribution network buildings;

[0008] Scanning the preset point distribution area in the city by using geographic information system (GIS) technology to obtain the preset point distribution location and corresponding station-building related data in the area; performing a station-building analysis on the station-building related data corresponding to the preset point distribution location to obtain a station-building analysis result, and obtaining a surrounding environment comprehensive value of the preset point distribution location based on the station-building analysis result; judging whether the station can be built according to the surrounding environment comprehensive value of the preset point distribution location, specifically, if the surrounding environment comprehensive value is within the surrounding environment threshold range, marking the preset point distribution location as a station-building location;

[0009] A multi-angle analysis is performed on the locations where the site can be built, and the multi-angle analysis includes terrain analysis, buffer zone analysis and power supply radius analysis to obtain multi-angle analysis results; a comprehensive value of the surrounding environment and the multi-angle analysis results are combined to obtain a site construction evaluation value of the location where the site can be built, and the site construction evaluation values ​​are arranged in order from small to large to generate a site construction evaluation list.

[0010] Preferably, the site construction related data of the existing distribution network building and the preset site locations include location information, structure type information, topographic information and surrounding environment information, wherein:

[0011] The location information includes the number of preset locations, floor area, building area, surrounding buildings and surrounding facilities;

[0012] The structural type information includes structural type, bearing capacity, stability data, durability data and construction cost; wherein the stability data includes structural displacement and tilt angle of the building under different environmental conditions, and the environmental conditions include wind load and earthquake; the durability data includes service life and performance attenuation data of building materials;

[0013] The topographic information includes elevation, slope and slope direction;

[0014] The surrounding environment information includes traffic convenience information, noise value and electromagnetic radiation value. The traffic convenience information includes road accessibility, public transportation convenience, traffic flow and parking facilities;

[0015] The construction-related data of the existing distribution network room also includes power supply capacity information, which includes power supply coverage and line data, where the line data includes transformer capacity, rated voltage, line resistance, line reactance, line length, line voltage, line transmission power, line impedance and line power factor.

[0016] Preferably, a site buildability analysis is performed on the site building related data corresponding to the preset site layout locations to obtain a site buildability analysis result, which includes a structure score, a traffic convenience value, a magnetic noise impact value, and a face value of the preset site layout locations, wherein:

[0017] A structural type scoring system is established based on the website building related data of the existing distribution website room, and the weight of the structural type information is determined by the hierarchical analysis method. The weight of the structural type information is expressed by the formula:

[0018] λ1+λ2+λ3+λ4=1;

[0019] In the formula, λ1 represents the weight of bearing capacity; λ2 represents the weight of stability data; λ3 represents the weight of durability data; λ4 represents the weight of construction cost;

[0020] Taking the bearing capacity, expected service life and construction cost of the existing distribution network house as the benchmark value, the bearing capacity score, durability score and construction cost score of the preset distribution point location are calculated, which can be expressed as follows:

[0021] S1=V n -V p ;

[0022] S2=L n -L p ;

[0023] S3=M n -M p ;

[0024] Where S1 represents the carrying capacity score; V n Indicates the carrying capacity of the preset distribution point location; V p Indicates the bearing capacity of the existing distribution network room; S2 indicates the durability score; L n Indicates the expected service life of the preset distribution point location; L p It represents the estimated service life of the existing distribution network house; S3 represents the durability score; M n Indicates the construction cost of the preset location; M p It represents the construction cost of the existing distribution network room;

[0025] Calculate the stability score of the preset point location, expressed as:

[0026]

[0027] Where S2 represents the stability score; D w Indicates the structural displacement under standard wind load; D e Indicates the structural displacement under the standard earthquake force; D maxIndicates the preset full-mark displacement value of stability; D min Indicates the preset minimum required displacement value for stability;

[0028] The bearing capacity score, stability score, durability score and construction cost of the preset distribution location are weighted and calculated to obtain the structural score S of the preset distribution location, which is expressed as follows:

[0029] S=S1λ1+S2λ2+S3λ3+S4λ4;

[0030] Based on the site-building related data of the preset distribution location, the traffic convenience value of the preset distribution location is calculated, which is expressed as:

[0031]

[0032] In the formula, G represents the traffic convenience value; F w Represents the parameter value of the wth convenient transportation information; α w represents the preset weight corresponding to the parameter of the w-th convenient transportation information; W represents the number of parameters of the convenient transportation information;

[0033] Taking the noise value and electromagnetic radiation value of the existing distribution network room as the reference value, the noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset distribution point location are calculated, which can be expressed as follows:

[0034] Z=Z n -Z p ;

[0035] C=C n -C p ;

[0036] CZ=z1Z+c1C;

[0037]

[0038] Where Z represents the noise base difference; Z n Indicates the noise value of the preset point location; Z p represents the noise value of the existing distribution network room; z1 represents the preset noise weight; C represents the electromagnetic base difference value; C n Indicates the electromagnetic radiation value of the preset point location; C p Indicates the electromagnetic radiation value of the existing distribution network room; c1 indicates the preset electromagnetic radiation weight; CZ indicates the magnetic noise difference; CZ M represents the mean value of the magnetic noise difference; n represents the number of preset point positions; i represents the index of the i-th magnetic noise difference; CZ D It represents the standard deviation of the magnetic noise difference, that is, the fluctuation value of the magnetic noise difference;

[0039] The noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset point positions are weightedly calculated to obtain the magnetic noise impact value, which is expressed as follows:

[0040] CZ f =cz1Z+cz2C+cz3CZ D ;

[0041] In the formula, CZ f represents the magnetic noise impact value; cz1 represents the preset noise base difference value weight; cz2 represents the preset electromagnetic base difference value weight; cz3 represents the preset magnetic noise difference fluctuation value weight;

[0042] Taking the floor area and building area of ​​the existing distribution network room as the benchmark value, calculate the shadow value of the preset distribution point location, which can be expressed as:

[0043] DZ=DZ n -DZ p ;

[0044] JZ=JZ n -JZ p ;

[0045] MY=dz1DZ+jz1JZ;

[0046] Where MY represents the shadow value; DZ represents the difference in the occupied area; DZ n Indicates the area occupied by the preset layout location; DZ p Indicates the floor area of ​​the existing distribution network room; dz1 indicates the preset floor area weight; JZ indicates the building area difference; JZ n Indicates the building area of ​​the preset layout location; JZ p It represents the building area of ​​the existing distribution network room; dz1 represents the preset building area weight.

[0047] Preferably, the comprehensive value of the surrounding environment of the preset deployment location is obtained based on the analysis result of the site buildability, specifically, the comprehensive value of the surrounding environment is obtained by weighting the analysis result of the site buildability, which is expressed as:

[0048] ZB=b1G+b2CZ f +b3MY+b4E;

[0049] In the formula, ZB represents the comprehensive value of the surrounding environment; G represents the traffic convenience value; E represents the structural score of the preset distribution location; b1 represents the preset traffic convenience value weight; b2 represents the preset magnetic noise impact value weight; b3 represents the preset surface shadow value weight; b4 represents the preset structural score weight.

[0050] Preferably, a multi-angle analysis is performed on the possible site locations, the multi-angle analysis including topographic analysis, buffer zone analysis and power supply radius analysis, to obtain a multi-angle analysis result, wherein:

[0051] The topographic analysis specifically uses the parameter value of the topographic information of the existing distribution network room as the reference value to calculate the topographic impact value, which is expressed as follows:

[0052] DM=DM n -DM p ;

[0053]

[0054] Where DY represents the landform impact value; DM n Parameter value indicating the topographic information of the possible site location; DM p represents the parameter value of the topographic information of the existing distribution network room; DM represents the standard deviation of the topographic information; β r represents the preset weight of the rth standard deviation value; R represents the number of parameters of topographic information; r represents the index value of the rth standard deviation value;

[0055] The buffer zone analysis specifically includes establishing a buffer zone coordinate system, inputting the positions of the station buildable location and the surrounding buildings and facilities of the station buildable location into the buffer zone coordinate system, obtaining the position coordinates of the station buildable location, the surrounding buildings and facilities of the station buildable location, calculating the distance between the station buildable location and any surrounding building or surrounding facility of the station buildable location, and obtaining the buffer spacing value; performing weighted calculation on the buffer spacing values ​​of all buildings and facilities within a preset range, and obtaining the buffer impact value, which is expressed as follows:

[0056]

[0057] Where HC represents the buffer spacing value; {x hc ,y hc} represents the buffer coordinates of the station buildable location; {x zb ,y zb} represents the buffer zone coordinates of surrounding buildings or facilities where the station can be built; HY represents the buffer impact value; HC h Indicates the hth buffer spacing value; μ h represents the preset weight corresponding to the hth buffer spacing value; H represents the number of surrounding buildings and surrounding facilities where the station can be built; h represents the index value of the hth buffer spacing value;

[0058] The power supply radius analysis is specifically to calculate the voltage drop of each point in the preset point distribution area with the station location as the center, which can be expressed as:

[0059] D = DZ + j × DK;

[0060]

[0061] PL=I 2 ×D;

[0062] Where, I represents line current; D represents line impedance; DZ represents line resistance; DK represents line reactance; j represents imaginary unit; V represents line voltage; P represents transmission power; Indicates the line power factor;

[0063] Taking the station buildable location as the center, the voltage drop ΔV of each station buildable location in the preset deployment area is calculated, which can be expressed as:

[0064] ΔV=I×D;

[0065] When the current voltage drop reaches the preset voltage drop threshold, the Euclidean distance between the current voltage drop location and the location where the station can be built is calculated to obtain the power supply radius of the location where the station can be built; the circular area formed with the location where the station can be built as the center and the power supply radius as the radius is the power supply coverage range of the location where the station can be built;

[0066] The power supply coverage capability analysis is specifically to establish a coverage plane coordinate system, input the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room into the coverage plane coordinate system, identify the area in the station buildable location area that is not covered by the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area, and mark it as an uncovered surface; calculate the area of ​​the uncovered surface to obtain the uncovered area; mark the area where the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area overlap as an overlapping coverage surface; calculate the area of ​​the overlapping coverage surface to obtain the overlapping coverage area;

[0067] The uncovered area and the overlapping coverage area are weighted to obtain the power supply coverage impact value, which is expressed as follows:

[0068] SY=s1S a +s2S b +s3PL;

[0069] Where, SY represents the power supply coverage impact value; S a represents the non-overlapping area; s1 represents the preset weight of the non-overlapping area; S b represents the overlapping coverage area; s2 represents the preset weight of the overlapping coverage area; s3 represents the preset weight of the power loss.

[0070] Preferably, the comprehensive value of the surrounding environment and the multi-angle analysis results are combined to obtain the evaluation value of the location where the site can be built, and the comprehensive value of the surrounding environment and the multi-angle analysis results are weighted to obtain the evaluation value of the site, which is expressed as follows:

[0071] F=f1ZB+f2DY+f3HY+f4SY;

[0072] In the formula, F represents the site construction evaluation value; f1 represents the weight of the preset surrounding environment comprehensive value; f2 represents the weight of the preset landform impact value; f3 represents the weight of the preset buffer impact value; and f4 represents the weight of the preset power supply coverage impact value.

[0073] Preferably, the method also includes constructing a site construction sand table model corresponding to a preset point distribution area, and using the site construction sand table model to display the possible site construction locations and the corresponding site construction evaluation values, wherein: a display group is preset according to the evaluation category of the possible site construction locations, each evaluation category corresponds to a preset display group, the preset display group includes display grids, each display grid represents the site construction evaluation value corresponding to the evaluation category, and each preset display grid is also marked with a specific set color; all site construction analysis results are displayed on the site construction sand table model.

[0074] A GIS-based urban distribution network room preset layout optimization system, the system includes a data acquisition module, a buildable site analysis module and a result output module, wherein:

[0075] The data acquisition module is used to obtain the site building related data of the existing distribution network building in the city, and set the surrounding environment threshold based on the site building related data of the existing distribution network building; use the geographic information system GIS technology to scan the preset point distribution area in the city to obtain the preset point distribution location and the corresponding site building related data in the area; transmit the site building related data of the existing distribution network building, the preset point distribution location and the corresponding site building related data to the site building analysis module;

[0076] The station buildable analysis module is used to perform station buildable analysis on the station buildable data corresponding to the preset point location, obtain the station buildable analysis result, obtain the surrounding environment comprehensive value of the preset point location based on the station buildable analysis; determine whether the station can be built according to the surrounding environment comprehensive value of the preset point location, specifically, if the surrounding environment comprehensive value is within the surrounding environment threshold range, mark the preset point location as a station buildable location; perform multi-angle analysis on the station buildable location, the multi-angle analysis includes terrain analysis, buffer zone analysis and power supply radius analysis, and obtain multi-angle analysis results; and obtain the station buildable location evaluation value by combining the surrounding environment comprehensive value and the multi-angle analysis results;

[0077] The result output module is used to arrange the site building evaluation values ​​in order from large to small, generate a site building evaluation list, and use a site building sandbox model to display available site building locations and corresponding site building evaluation values.

[0078] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for optimizing the preset layout of urban distribution network buildings based on GIS as described in any one of the embodiments is implemented.

[0079] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the GIS-based urban distribution network house preset layout optimization method as described in any one of the embodiments.

[0080] Compared with the prior art, the present invention has the following beneficial effects:

[0081] 1) The present invention provides a method and system for optimizing the preset layout of urban distribution network buildings based on GIS. By acquiring the relevant data on the construction of existing distribution network buildings in the city, the present invention makes analysis and decisions based on the actual data, thereby avoiding blind planning and waste of resources, improving the scientificity and efficiency of the construction decision, and ensuring the accuracy and pertinence of the site selection;

[0082] 2) The present invention provides a GIS-based urban distribution network station preset point optimization method and system, which improves the scientificity and practicality of site construction through multi-angle analysis such as terrain analysis, buffer zone analysis and power supply radius analysis, ensures the comprehensiveness and objectivity of site selection decisions, and avoids the deviation caused by a single factor dominance;

[0083] 3) The present invention provides a GIS-based urban distribution network room preset layout optimization method and system, constructs a site construction sandbox model according to the preset layout area, intuitively displays the site construction analysis results, enhances the intuitiveness and interactivity of decision-making, enhances communication and collaboration among team members, and improves the quality and efficiency of overall decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 It is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0085] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0086] The present invention provides the following technical solution: a method and system for optimizing the preset layout of urban distribution network houses based on GIS.

[0087] Example 1

[0088] See also Figure 1 This embodiment provides a GIS-based urban distribution network room preset layout optimization method, and the specific steps include:

[0089] S1. Obtain the site construction related data of the existing distribution network buildings in the city; set the surrounding environment threshold based on the site construction related data of the existing distribution network buildings; use the geographic information system GIS technology to scan the preset point distribution area in the city to obtain the preset point distribution location and the corresponding site construction related data in the area;

[0090] S11. The data related to the site construction of the existing distribution network building and the preset site locations include location information, structure type information, topography information and surrounding environment information, among which:

[0091] The location information includes the number of preset locations, floor area, building area, surrounding buildings and surrounding facilities;

[0092] The structural type information includes structural type, bearing capacity, stability data, durability data, construction cost and construction difficulty; wherein, the structural types include brick-concrete structure, frame structure and steel structure; the bearing capacity includes the maximum weight and unit area bearing pressure that the building structure can bear; the stability data includes the structural displacement and inclination angle of the building under different environmental conditions, and the environmental conditions include wind load and earthquake; the durability data includes the service life and performance attenuation data of building materials; the construction cost includes the procurement cost of building materials and the construction labor cost;

[0093] The topographic information includes elevation, slope and slope direction;

[0094] The surrounding environment information includes traffic convenience information, noise value and electromagnetic radiation value. The traffic convenience information includes road accessibility, public transportation convenience, traffic flow and parking facilities;

[0095] The data related to the construction of the existing distribution network building also includes power supply capacity information, which includes power supply coverage and line data, wherein the line data includes transformer capacity, rated voltage, line resistance, line reactance, line length, line voltage, line transmission power, line impedance and line power factor;

[0096] S2. Performing a site buildability analysis on the site buildability data corresponding to the preset site locations to obtain a site buildability analysis result, wherein the site buildability analysis result includes a structure score, a traffic convenience value, a magnetic noise impact value, and a surface shadow value of the preset site locations;

[0097] S21. Establish a structural type scoring system based on the website building related data of the existing distribution website room, and use the hierarchical analysis method to analyze the structural type information to obtain the weight; construct a hierarchical structure judgment matrix, and compare the relative importance of the structural type information through an expert scoring table, and the expert scoring table is shown in Table 1;

[0098] Table 1 Expert scoring table

[0099]

[0100] The weight vector of the structure type information is calculated and expressed as:

[0101]

[0102] λ=[λ c ], c = 1, 2, 3, 4;

[0103] Where, X c Represents the product of each row of elements in the judgment matrix; a cl represents the element in the cth row and the lth row in the judgment matrix; K represents the order of the judgment matrix; represents the initial weight of the c-th structure type information; λ c represents the weight of the cth normalized structure type information; λ represents the weight vector;

[0104] Calculate the consistency index, expressed as:

[0105]

[0106] In the formula, λ max represents the maximum eigenvalue of the weight vector; CI represents the consistency index;

[0107] As described in Table 2, the corresponding average random consistency index value RI is found from the average random consistency index table, and the consistency ratio CR is calculated, which is expressed as:

[0108]

[0109] Table 2 Average random consistency index table

[0110]

[0111] The consistency ratio is compared with the preset consistency threshold. If the consistency ratio is greater than the preset consistency threshold, the judgment matrix is ​​readjusted; otherwise, it means that the judgment matrix meets the consistency requirements, and the weight of the structure type information is obtained. The weight of the structure type information is expressed by the formula:

[0112] λ1+λ2+λ3+λ4=1;

[0113] In the formula, λ1 represents the weight of bearing capacity; λ2 represents the weight of stability data; λ3 represents the weight of durability data; λ4 represents the weight of construction cost;

[0114] Taking the bearing capacity, expected service life and construction cost of the existing distribution network house as the benchmark value, the bearing capacity score, durability score and construction cost score of the preset distribution point location are calculated, which can be expressed as follows:

[0115] S1=V n -V p ;

[0116] S2=L n -L p ;

[0117] S3=M n -M p ;

[0118] Where S1 represents the carrying capacity score; V n Indicates the carrying capacity of the preset distribution point location; V p Indicates the bearing capacity of the existing distribution network room; S2 indicates the durability score; L n Indicates the expected service life of the preset distribution point location; L p It represents the estimated service life of the existing distribution network house; S3 represents the durability score; M n Indicates the construction cost of the preset location; M p It represents the construction cost of the existing distribution network room;

[0119] The stability score of the preset point location is calculated using the formula:

[0120]

[0121] Where S2 represents the stability score; D w Indicates the structural displacement under standard wind load; D e Indicates the structural displacement under the standard earthquake force; D max Indicates the preset full-mark displacement value of stability; D min Indicates the preset minimum required displacement value for stability;

[0122] The bearing capacity score, stability score, durability score and construction cost of the preset distribution location are weighted and calculated to obtain the structural score S of the preset distribution location, which is expressed as follows:

[0123] S=S1λ1+S2λ2+S3λ3+S4λ4;

[0124] S22. Based on the site construction related data of the preset site locations, the traffic convenience value of the preset site locations is calculated, which is expressed as:

[0125]

[0126] In the formula, G represents the traffic convenience value; F w Represents the parameter value of the wth convenient transportation information; α w represents the preset weight corresponding to the parameter of the w-th convenient transportation information; W represents the number of parameters of the convenient transportation information;

[0127] S23, using the noise value and electromagnetic radiation value of the existing distribution network room as the reference value, calculate the noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset distribution point location, and express it as follows:

[0128] Z=Z n -Z p ;

[0129] C=C n -C p ;

[0130] CZ=z1Z+c1C;

[0131]

[0132] Where Z represents the noise base difference; Z n Indicates the noise value of the preset point location; Z p represents the noise value of the existing distribution network room; z1 represents the preset noise weight; C represents the electromagnetic base difference value; C n Indicates the electromagnetic radiation value of the preset point location; C p Indicates the electromagnetic radiation value of the existing distribution network room; c1 indicates the preset electromagnetic radiation weight; CZ indicates the magnetic noise difference; CZ M represents the mean value of the magnetic noise difference; n represents the number of preset point positions; i represents the index of the i-th magnetic noise difference; CZ D It represents the standard deviation of the magnetic noise difference, that is, the fluctuation value of the magnetic noise difference;

[0133] The noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset point positions are weightedly calculated to obtain the magnetic noise impact value, which is expressed as follows:

[0134] CZ f =cz1Z+cz2C+cz3CZ D ;

[0135] In the formula, CZ frepresents the magnetic noise impact value; cz1 represents the preset noise base difference value weight; cz2 represents the preset electromagnetic base difference value weight; cz3 represents the preset magnetic noise difference fluctuation value weight;

[0136] S24. Taking the floor area and building area of ​​the existing distribution network room as the reference value, calculate the shadow value of the preset distribution point location, which can be expressed as:

[0137] DZ=DZ n -DZ p ;

[0138] JZ=JZ n -JZ p ;

[0139] MY=dz1DZ+jz1JZ;

[0140] Where MY represents the shadow value; DZ represents the difference in the occupied area; DZ n Indicates the area occupied by the preset layout location; DZ p Indicates the floor area of ​​the existing distribution network room; dz1 indicates the preset floor area weight; JZ indicates the building area difference; JZ n Indicates the building area of ​​the preset layout location; JZ p Indicates the building area of ​​the existing distribution network room; dz1 indicates the preset building area weight;

[0141] S3, obtaining a comprehensive value of the surrounding environment of the preset deployment location based on the analysis result of the site buildability, specifically, performing weighted processing on the analysis result of the site buildability to obtain the comprehensive value of the surrounding environment;

[0142] The comprehensive value of the surrounding environment is expressed as follows:

[0143] ZB=b1G+b2CZ f +b3MY+b4E;

[0144] In the formula, ZB represents the comprehensive value of the surrounding environment; G represents the traffic convenience value; E represents the structural score of the preset point location; b1 represents the preset traffic convenience value weight; b2 represents the preset magnetic noise impact value weight; b3 represents the preset surface value weight; b4 represents the preset structural score weight;

[0145] S4. Perform multi-angle analysis on the possible site locations, wherein the multi-angle analysis includes topographic analysis, buffer zone analysis, and power supply radius analysis, to obtain multi-angle analysis results;

[0146] S41, the topography analysis specifically uses the parameter value of the topography information of the existing distribution network room as the reference value to calculate the topography impact value, which is expressed as:

[0147] DM=DMn -DM p ;

[0148]

[0149] Where DY represents the landform impact value; DM n Parameter value indicating the topographic information of the possible site location; DM p represents the parameter value of the topographic information of the existing distribution network room; DM represents the standard deviation of the topographic information; β r represents the preset weight of the rth standard deviation value; R represents the number of parameters of topographic information; r represents the index value of the rth standard deviation value;

[0150] S42, the buffer zone analysis specifically includes establishing a buffer zone coordinate system, inputting the location of the station buildable and the location of the surrounding buildings and surrounding facilities of the station buildable into the buffer zone coordinate system, obtaining the location coordinates of the station buildable, the surrounding buildings and surrounding facilities of the station buildable, calculating the distance between the station buildable location and any surrounding building or surrounding facility of the station buildable, and obtaining the buffer spacing value; performing weighted calculation on the buffer spacing values ​​of all buildings and facilities within a preset range, and obtaining the buffer impact value, which is expressed as follows:

[0151]

[0152] Where HC represents the buffer spacing value; {x hc ,y hc} represents the buffer coordinates of the station buildable location; {x zb ,y zb} represents the buffer zone coordinates of surrounding buildings or facilities where the station can be built; HY represents the buffer impact value; HC h Indicates the hth buffer spacing value; μ h represents the preset weight corresponding to the hth buffer spacing value; H represents the number of surrounding buildings and surrounding facilities where the station can be built; h represents the index value of the hth buffer spacing value;

[0153] S43, the power supply radius analysis is specifically to calculate the power loss of the site on the line based on the parameters in the power supply capacity information of the site where the site can be built, which is expressed by the formula:

[0154] D = DZ + j × DK;

[0155]

[0156] PL=I 2 ×D;

[0157] Where, I represents line current; D represents line impedance; DZ represents line resistance; DK represents line reactance; j represents imaginary unit; V represents line voltage; P represents transmission power; Indicates the line power factor;

[0158] Taking the station buildable location as the center, the voltage drop ΔV of each station buildable location in the preset deployment area is calculated, which can be expressed as:

[0159] ΔV=I×D;

[0160] When the current voltage drop reaches the preset voltage drop threshold, the Euclidean distance between the current voltage drop location and the location where the station can be built is calculated to obtain the power supply radius of the location where the station can be built; the circular area formed with the location where the station can be built as the center and the power supply radius as the radius is the power supply coverage range of the location where the station can be built;

[0161] The power supply coverage capability analysis is specifically to establish a coverage plane coordinate system, input the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room into the coverage plane coordinate system, identify the area in the station buildable location area that is not covered by the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area, and mark it as an uncovered surface; calculate the area of ​​the uncovered surface to obtain the uncovered area; mark the area where the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area overlap as an overlapping coverage surface; calculate the area of ​​the overlapping coverage surface to obtain the overlapping coverage area;

[0162] The uncovered area and the overlapping coverage area are weighted to obtain the power supply coverage impact value, which is expressed as follows:

[0163] SY=s1S a +s2S b +s3PL;

[0164] Where, SY represents the power supply coverage impact value; S a represents the non-overlapping area; s1 represents the preset weight of the non-overlapping area; S b represents the overlapping coverage area; s2 represents the preset weight of the overlapping coverage area; s3 represents the preset weight of the power loss;

[0165] S5. Comprehensively consider the surrounding environment comprehensive value and the multi-angle analysis results to obtain the site construction evaluation value of the site construction location. Perform weighted processing on the surrounding environment comprehensive value and the multi-angle analysis results to obtain the site construction evaluation value, which can be expressed as:

[0166] F=f1ZB+f2DY+f3HY+f4SY;

[0167] In the formula, F represents the site construction evaluation value; f1 represents the weight of the preset surrounding environment comprehensive value; f2 represents the weight of the preset landform impact value; f3 represents the weight of the preset buffer impact value; f4 represents the weight of the preset power supply coverage impact value;

[0168] S6, arranging the website building evaluation values ​​in ascending order to generate a website building evaluation list; constructing a website building sand table model corresponding to the preset point distribution area, and using the website building sand table model to display the possible website building locations and the corresponding website building evaluation values, wherein: a display group is preset according to the evaluation category of the possible website building location, each evaluation category corresponds to a preset display group, and the preset display group contains display grids, each display grid represents the website building evaluation value corresponding to the evaluation category, wherein each preset display grid is also marked with a specific set color; and all website building analysis results are displayed on the website building sand table model;

[0169] The site construction sandbox model is also provided with an interactive function. The sandbox model is equipped with a touch operation interface, which allows users to view detailed information of different possible site construction locations by touching the screen, including the site construction evaluation value of the location, the comprehensive value of the surrounding environment, the landform impact value, the buffer impact value, the power supply coverage impact value and the corresponding geographic coordinates.

[0170] Example 2

[0171] This embodiment provides a GIS-based urban distribution network room preset layout optimization system, which includes a data acquisition module, a buildable site analysis module and a result output module, wherein:

[0172] The data acquisition module is used to obtain the site building related data of the existing distribution network building in the city, and set the surrounding environment threshold based on the site building related data of the existing distribution network building; use the geographic information system GIS technology to scan the preset point distribution area in the city to obtain the preset point distribution location and the corresponding site building related data in the area; transmit the site building related data of the existing distribution network building, the preset point distribution location and the corresponding site building related data to the site building analysis module;

[0173] The station buildable analysis module is used to perform station buildable analysis on the station buildable data corresponding to the preset point location, obtain the station buildable analysis result, obtain the surrounding environment comprehensive value of the preset point location based on the station buildable analysis; determine whether the station can be built according to the surrounding environment comprehensive value of the preset point location, specifically, if the surrounding environment comprehensive value is within the surrounding environment threshold range, mark the preset point location as a station buildable location; perform multi-angle analysis on the station buildable location, the multi-angle analysis includes terrain analysis, buffer zone analysis and power supply radius analysis, and obtain multi-angle analysis results; and obtain the station buildable location evaluation value by combining the surrounding environment comprehensive value and the multi-angle analysis results;

[0174] The result output module is used to arrange the site building evaluation values ​​in order from large to small, generate a site building evaluation list, and use a site building sandbox model to display available site building locations and corresponding site building evaluation values.

[0175] Example 3

[0176] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for optimizing preset layout of urban distribution network houses based on GIS as described in any one of Embodiment 1 is implemented.

[0177] Example 4

[0178] This embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, the method for optimizing the preset layout of urban distribution network buildings based on GIS as described in any one of Embodiments 1 is implemented.

[0179] It is worth noting that the system, electronic device and computer-readable storage medium described in the present invention are based on the same principles as the method described in Example 1, and will not be described in detail here.

[0180] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A GIS-based urban distribution network room preset layout optimization method, characterized in that: The method comprises: Obtaining the data related to the construction of existing distribution network buildings in the city; setting the surrounding environment threshold based on the data related to the construction of existing distribution network buildings; Scanning the preset point distribution area in the city by using geographic information system (GIS) technology to obtain the preset point distribution location and corresponding station-building related data in the area; performing a station-building analysis on the station-building related data corresponding to the preset point distribution location to obtain a station-building analysis result, and obtaining a surrounding environment comprehensive value of the preset point distribution location based on the station-building analysis result; judging whether the station can be built according to the surrounding environment comprehensive value of the preset point distribution location, specifically, if the surrounding environment comprehensive value is within the surrounding environment threshold range, marking the preset point distribution location as a station-building location; A multi-angle analysis is performed on the locations where the site can be built, and the multi-angle analysis includes terrain analysis, buffer zone analysis and power supply radius analysis to obtain multi-angle analysis results; a comprehensive value of the surrounding environment and the multi-angle analysis results are combined to obtain a site construction evaluation value of the location where the site can be built, and the site construction evaluation values ​​are arranged in order from small to large to generate a site construction evaluation list.

2. The GIS-based urban distribution network room preset layout optimization method according to claim 1 is characterized in that: The data related to the site construction of the existing distribution network building and the preset site locations include location information, structure type information, topography information and surrounding environment information, including: The location information includes the number of preset locations, floor area, building area, surrounding buildings and surrounding facilities; The structural type information includes structural type, bearing capacity, stability data, durability data and construction cost; wherein the stability data includes structural displacement and tilt angle of the building under different environmental conditions, and the environmental conditions include wind load and earthquake; the durability data includes service life and performance attenuation data of building materials; The topographic information includes elevation, slope and slope direction; The surrounding environment information includes traffic convenience information, noise value and electromagnetic radiation value. The traffic convenience information includes road accessibility, public transportation convenience, traffic flow and parking facilities; The construction-related data of the existing distribution network room also includes power supply capacity information, which includes power supply coverage and line data, where the line data includes transformer capacity, rated voltage, line resistance, line reactance, line length, line voltage, line transmission power, line impedance and line power factor.

3. The GIS-based urban distribution network room preset layout optimization method according to claim 2 is characterized in that: Perform a site buildability analysis on the site building related data corresponding to the preset site locations to obtain a site buildability analysis result, which includes the structure score, traffic convenience value, magnetic noise impact value and face value of the preset site locations, where: A structural type scoring system is established based on the website building related data of the existing distribution website room, and the weight of the structural type information is determined by the hierarchical analysis method. The weight of the structural type information is expressed by the formula: λ1+λ2+λ3+λ4=1; In the formula, λ1 represents the weight of bearing capacity; λ2 represents the weight of stability data; λ3 represents the weight of durability data; λ4 represents the weight of construction cost; Taking the bearing capacity, expected service life and construction cost of the existing distribution network house as the benchmark value, the bearing capacity score, durability score and construction cost score of the preset distribution point location are calculated, which can be expressed as follows: S1=V n -V p ; S2=L n -L p ; S3=M n -M p ; Where S1 represents the carrying capacity score; V n Indicates the carrying capacity of the preset distribution point location; V p Indicates the bearing capacity of the existing distribution network room; S2 indicates the durability score; L n Indicates the expected service life of the preset distribution point location; L p It represents the estimated service life of the existing distribution network house; S3 represents the durability score; M n Indicates the construction cost of the preset location; M p It represents the construction cost of the existing distribution network room; Calculate the stability score of the preset point location, expressed as: Where S2 represents the stability score; D w Indicates the structural displacement under standard wind load; D e Indicates the structural displacement under the standard earthquake force; D max Indicates the preset full-mark displacement value of stability; D min Indicates the preset minimum required displacement value for stability; The bearing capacity score, stability score, durability score and construction cost of the preset distribution location are weighted and calculated to obtain the structural score S of the preset distribution location, which is expressed as follows: S=S1λ1+S2λ2+S3λ3+S4λ4; Based on the site-building related data of the preset distribution location, the traffic convenience value of the preset distribution location is calculated, which is expressed as: In the formula, G represents the traffic convenience value; F w represents the parameter value of the wth convenient transportation information; α w represents the preset weight corresponding to the parameter of the w-th convenient transportation information; W represents the number of parameters of the convenient transportation information; Taking the noise value and electromagnetic radiation value of the existing distribution network room as the reference value, the noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset distribution point location are calculated, which can be expressed as follows: Z=Z n -WITH p ; C=C n -C p ; CZ=z1Z+c1C; Where Z represents the noise base difference; Z n Indicates the noise value of the preset point location; Z p represents the noise value of the existing distribution network room; z1 represents the preset noise weight; C represents the electromagnetic base difference value; C n Indicates the electromagnetic radiation value of the preset point location; C p Indicates the electromagnetic radiation value of the existing distribution network room; c1 indicates the preset electromagnetic radiation weight; CZ indicates the magnetic noise difference; CZ M represents the mean value of the magnetic noise difference; n represents the number of preset point positions; i represents the index of the i-th magnetic noise difference; CZ D It represents the standard deviation of the magnetic noise difference, that is, the fluctuation value of the magnetic noise difference; The noise base difference value, electromagnetic base difference value and magnetic noise difference fluctuation value of the preset point positions are weightedly calculated to obtain the magnetic noise impact value, which is expressed as follows: CZ f =cz1Z+cz2C+cz3CZ D ; In the formula, CZ f represents the magnetic noise impact value; cz1 represents the preset noise base difference value weight; cz2 represents the preset electromagnetic base difference value weight; cz3 represents the preset magnetic noise difference fluctuation value weight; Taking the floor area and building area of ​​the existing distribution network room as the benchmark value, calculate the shadow value of the preset distribution point location, which can be expressed as: DZ=DZ n -DZ p ; JZ=JZ n -JZ p ; MY=dz1DZ+jz1JZ; Where MY represents the shadow value; DZ represents the difference in the occupied area; DZ n Indicates the area occupied by the preset layout location; DZ p Indicates the floor area of ​​the existing distribution network room; dz1 indicates the preset floor area weight; JZ indicates the building area difference; JZ n Indicates the building area of ​​the preset layout location; JZ p It represents the building area of ​​the existing distribution network room; dz1 represents the preset building area weight.

4. The GIS-based urban distribution network room preset layout optimization method according to claim 3 is characterized in that: Based on the analysis result of the possible site building, the comprehensive value of the surrounding environment of the preset site location is obtained, specifically, the comprehensive value of the surrounding environment is obtained by weighting the analysis result of the possible site building, which is expressed as follows: ZB=b1G+b2CZ f +b3MY+b4E; In the formula, ZB represents the comprehensive value of the surrounding environment; G represents the traffic convenience value; E represents the structural score of the preset distribution location; b1 represents the preset traffic convenience value weight; b2 represents the preset magnetic noise impact value weight; b3 represents the preset surface shadow value weight; b4 represents the preset structural score weight.

5. The GIS-based urban distribution network room preset layout optimization method according to claim 4 is characterized in that: Perform multi-angle analysis on the possible site locations, including topographic analysis, buffer zone analysis and power supply radius analysis, to obtain multi-angle analysis results, where: The topographic analysis specifically uses the parameter value of the topographic information of the existing distribution network room as the reference value to calculate the topographic impact value, which is expressed as follows: DM=DM n -DM p ; Where DY represents the landform impact value; DM n Parameter value indicating the topographic information of the possible site location; DM p represents the parameter value of the topographic information of the existing distribution network room; DM represents the standard deviation of the topographic information; β r represents the preset weight of the rth standard deviation value; R represents the number of parameters of topographic information; r represents the index value of the rth standard deviation value; The buffer zone analysis specifically includes establishing a buffer zone coordinate system, inputting the positions of the station buildable location and the surrounding buildings and facilities of the station buildable location into the buffer zone coordinate system, obtaining the position coordinates of the station buildable location, the surrounding buildings and facilities of the station buildable location, calculating the distance between the station buildable location and any surrounding building or surrounding facility of the station buildable location, and obtaining the buffer spacing value; performing weighted calculation on the buffer spacing values ​​of all buildings and facilities within a preset range, and obtaining the buffer impact value, which is expressed as follows: Where HC represents the buffer spacing value; {x hc ,y hc } represents the buffer coordinates of the station buildable location; {x zb ,y zb } represents the buffer zone coordinates of surrounding buildings or facilities where the station can be built; HY represents the buffer impact value; HC h Indicates the hth buffer spacing value; μ h represents the preset weight corresponding to the hth buffer spacing value; H represents the number of surrounding buildings and surrounding facilities where the station can be built; h represents the index value of the hth buffer spacing value; The power supply radius analysis specifically calculates the power loss of the site on the line based on the parameters in the power supply capability information of the site where the site can be built, which is expressed by the formula: D = DZ + j × DK; PL=I 2 ×D; Where, I represents line current; D represents line impedance; DZ represents line resistance; DK represents line reactance; j represents imaginary unit; V represents line voltage; P represents transmission power; Indicates the line power factor; Taking the station buildable location as the center, the voltage drop ΔV of each station buildable location in the preset deployment area is calculated, which can be expressed as: ΔV=I×D; When the current voltage drop reaches the preset voltage drop threshold, the Euclidean distance between the current voltage drop location and the location where the station can be built is calculated to obtain the power supply radius of the location where the station can be built; the circular area formed with the location where the station can be built as the center and the power supply radius as the radius is the power supply coverage range of the location where the station can be built; The power supply coverage capability analysis is specifically to establish a coverage plane coordinate system, input the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room into the coverage plane coordinate system, identify the area in the station buildable location area that is not covered by the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area, and mark it as an uncovered surface; calculate the area of ​​the uncovered surface to obtain the uncovered area; mark the area where the power supply coverage range of the station buildable and the power supply coverage range of the existing distribution network room in the preset point layout area overlap as an overlapping coverage surface; calculate the area of ​​the overlapping coverage surface to obtain the overlapping coverage area; The uncovered area and the overlapping coverage area are weighted to obtain the power supply coverage impact value, which is expressed as follows: SY=s1S a + s2S b +s3PL; Where SY represents the power supply coverage impact value; S a represents the non-overlapping area; s1 represents the preset weight of the non-overlapping area; S b represents the overlapping coverage area; s2 represents the preset weight of the overlapping coverage area; s3 represents the preset weight of the power loss.

6. The GIS-based urban distribution network room preset layout optimization method according to claim 5 is characterized in that: The comprehensive value of the surrounding environment and the results of multi-angle analysis are combined to obtain the evaluation value of the site where the site can be built. The comprehensive value of the surrounding environment and the results of multi-angle analysis are weighted to obtain the evaluation value of the site, which is expressed as follows: F=f1ZB+f2DY+f3HY+f4SY; In the formula, F represents the site construction evaluation value; f1 represents the weight of the preset surrounding environment comprehensive value; f2 represents the weight of the preset landform impact value; f3 represents the weight of the preset buffer impact value; and f4 represents the weight of the preset power supply coverage impact value.

7. The GIS-based urban distribution network room preset layout optimization method according to claim 6 is characterized in that: The method also includes constructing a site construction sand table model corresponding to a preset point distribution area, and using the site construction sand table model to display the possible site construction locations and the corresponding site construction evaluation values, wherein: a display group is preset according to the evaluation category of the possible site construction locations, each evaluation category corresponds to a preset display group, the preset display group includes display grids, each display grid represents the site construction evaluation value corresponding to the evaluation category, and each preset display grid is also marked with a specific set color; and all site construction analysis results are displayed on the site construction sand table model.

8. GIS-based urban distribution network room preset layout optimization system, characterized by: The system includes a data acquisition module, a site building analysis module and a result output module, wherein: The data acquisition module is used to obtain the site building related data of the existing distribution network building in the city, and set the surrounding environment threshold based on the site building related data of the existing distribution network building; use the geographic information system GIS technology to scan the preset point distribution area in the city to obtain the preset point distribution location and the corresponding site building related data in the area; transmit the site building related data of the existing distribution network building, the preset point distribution location and the corresponding site building related data to the site building analysis module; The station buildable analysis module is used to perform station buildable analysis on the station buildable data corresponding to the preset point location, obtain the station buildable analysis result, obtain the surrounding environment comprehensive value of the preset point location based on the station buildable analysis; determine whether the station can be built according to the surrounding environment comprehensive value of the preset point location, specifically, if the surrounding environment comprehensive value is within the surrounding environment threshold range, mark the preset point location as a station buildable location; perform multi-angle analysis on the station buildable location, the multi-angle analysis includes terrain analysis, buffer zone analysis and power supply radius analysis, and obtain multi-angle analysis results; and obtain the station buildable location evaluation value by combining the surrounding environment comprehensive value and the multi-angle analysis results; The result output module is used to arrange the site building evaluation values ​​in order from large to small, generate a site building evaluation list, and use a site building sandbox model to display available site building locations and corresponding site building evaluation values.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for optimizing the preset layout of urban distribution network buildings based on GIS is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for optimizing the preset layout of urban distribution network buildings based on GIS is implemented.

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