A method for selecting the location and route of power transmission and transformation lines based on AI intelligence

Abstract

The present invention discloses a method for site selection and route selection of power transmission and transformation lines based on AI intelligence, which relates to the field of power transmission. It solves the problem that the existing methods for site selection and route selection of power transmission and transformation lines have poor application effects, and includes the following steps: Step S1: Divide the planning area of the power transmission and transformation line into multiple candidate line areas, respectively conduct regional terrain analysis on each candidate line area, and obtain line terrain survey data according to the analysis results; Step S2: Conduct analysis on the connection angles of transmission towers and poles for the candidate line areas according to the line terrain survey data, and obtain tower pole angle survey data according to the analysis results; Step S3: Select the site of the power transmission and transformation line according to the line terrain survey data to obtain the selected area of the power transmission and transformation line. In the selected area of the power transmission and transformation line, select the route of the power transmission and transformation line according to the tower pole angle survey data to obtain the selected power transmission and transformation line. The present invention can improve the accuracy of the method for site selection and route selection of power transmission and transformation lines.

Description

Technical Field

[0001] The present invention belongs to the field of power transmission, and relates to AI intelligent technology. Specifically, it is a method for selecting the location and route of transmission and transformation lines based on AI intelligence. Background Art

[0002] When the existing methods for selecting the location and route of transmission and transformation lines are used for location and route selection, the following specific defects exist:

[0003] 1. The existing methods for selecting the location and route of transmission and transformation lines cannot analyze the terrain undulation of each candidate line area, and cannot analyze the connection angle of transmission towers for each candidate line within each candidate line area, resulting in the lack of accuracy and objectivity of the location and route selection results;

[0004] 2. Considering the economic cost and exploration efficiency of manual data exploration, the existing methods for selecting the location and route of transmission and transformation lines often can only select a few candidate lines in the candidate line area for location and route selection investigation, resulting in the lack of comprehensiveness of the location and route selection results.

[0005] Therefore, we propose a method for selecting the location and route of transmission and transformation lines based on AI intelligence. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a method for selecting the location and route of transmission and transformation lines based on AI intelligence, aiming to improve the accuracy and comprehensiveness of the location and route selection results of transmission and transformation lines.

[0007] To achieve the above purpose, the present invention adopts the following technical solutions: A method for selecting the location and route of transmission and transformation lines based on AI intelligence, including the following specific steps:

[0008] Step S1: Divide the planning area of the transmission and transformation line into multiple candidate line areas, respectively analyze the regional terrain of each candidate line area, and obtain the regional terrain undulation coefficient corresponding to each candidate line area according to the analysis result, so as to obtain the line terrain survey data;

[0009] Step S2: Analyze the connection angle of the transmission tower for the candidate line area according to the line terrain survey data, and obtain the tower angle change value corresponding to each candidate circuit within the candidate line area according to the analysis result, so as to obtain the tower angle survey data;

[0010] Step S3: Select the location of the transmission and transformation line according to the line terrain survey data to obtain the selected area of the transmission and transformation line. Within the selected area of the transmission and transformation line, select the line of the transmission and transformation line according to the tower angle survey data to obtain the selected transmission and transformation line.

[0011] Furthermore, in the step S1, the following specific steps are further included:

[0012] Step S11: Obtain the power transmission and transformation line planning area, use the clustering algorithm to mark multiple candidate line areas in the power transmission and transformation line planning area, and select a sample candidate line area from the divided multiple candidate line areas;

[0013] Step S12: Obtain the regional terrain profile corresponding to the sample candidate line area to obtain the sample regional terrain profile;

[0014] Step S13: Conduct regional terrain analysis on the sample candidate line area, and obtain the regional terrain undulation coefficient according to the analysis result;

[0015] Step S14: Obtain the regional terrain undulation coefficient corresponding to each candidate line area to obtain the line terrain survey data;

[0016] In the said step S13, the following specific steps are further included:

[0017] Step S131: In the sample regional terrain profile, mark the first terrain profile feature point as the first terrain profile feature point. If the first terrain profile feature point is at any end of the sample regional terrain profile, mark the sample regional terrain profile as the first type of regional profile. If the first terrain profile feature point is not at any end of the sample regional terrain profile, mark the sample regional terrain profile as the second type of regional profile;

[0018] Step S132: If the sample regional terrain profile is the first type of regional profile, obtain the regional terrain undulation coefficient corresponding to the sample regional terrain profile;

[0019] Step S133: If the sample regional terrain profile is the second type of regional profile, obtain the regional terrain undulation coefficient corresponding to the sample candidate line area.

[0020] Furthermore, in the said step S132, the following specific steps are further included:

[0021] In the sample regional terrain profile diagram, obtain the altitude values corresponding to the left edge point and the right edge point of the slope of the sample regional terrain profile diagram to obtain the left endpoint altitude value and the right endpoint altitude value. Compare the left endpoint altitude value with the right endpoint altitude value. If the left endpoint altitude value is greater than or equal to the right endpoint altitude value, mark the left edge point as the peak slope endpoint and the right edge point as the valley slope endpoint. If the left endpoint altitude value is less than the right endpoint altitude value, mark the right edge point as the peak slope endpoint and the left edge point as the valley slope endpoint;

[0022] Draw a perpendicular line from the peak slope endpoint to the ground to obtain the first altitude feature line. Draw a perpendicular line from the valley slope endpoint to the first altitude feature line to obtain the second altitude feature line. Obtain the length values corresponding to the first altitude feature line and the second altitude feature line respectively to get the first feature line length value and the second feature line length value.

[0023] Further, in the step S132, the following specific steps are further included:

[0024] Mark the line connecting the peak slope endpoint and the valley slope endpoint as the third altitude feature line. Calculate the length value corresponding to the third altitude feature line from the first feature line length value and the second feature line length value to obtain the slope path length value;

[0025] Calculate the slope path length value. The specific formula is as follows:

[0026] ;

[0027] Where Plc is the slope path length value, Tzc1 is the first feature line length value, and Tzc2 is the second feature line length value;

[0028] In the slope area between the peak slope endpoint and the valley slope endpoint, randomly select several altitude monitoring feature points, and obtain the altitude values corresponding to each altitude monitoring feature point to get multiple altitude values. Calculate the difference between each altitude value and the altitude value corresponding to the valley slope endpoint, and take the absolute value of the obtained difference to get multiple altitude elevation values, and mark the multiple obtained altitude elevation values as Hbg1 to Hbga in order of numerical size;

[0029] Calculate the average value of the multiple altitude elevation values to obtain the altitude elevation average value;

[0030] Calculate the regional terrain undulation coefficient corresponding to the sample candidate line area from the multiple altitude elevation values, the altitude elevation average value, and the slope path length value;

[0031] Calculate the regional terrain undulation coefficient. The specific formula is as follows:

[0032] ;

[0033] Where Hbx is the regional terrain undulation coefficient, Hbgi is the altitude elevation value, Hbgp is the altitude elevation average value, and Llj is the slope path length value.

[0034] Further, in the step S133, the following specific steps are further included:

[0035] In the topographic profile of the sample area, draw a perpendicular line to the ground through the first topographic profile feature point to obtain the profile segmentation perpendicular line. Mark the topographic profile of the sample area on the left side of the profile segmentation perpendicular line as the left topographic profile of the sample area, and mark the topographic profile of the sample area on the right side of the profile segmentation perpendicular line as the right topographic profile of the sample area;

[0036] Obtain the regional topographic undulation coefficient corresponding to the left topographic profile of the sample area to get the first regional topographic undulation coefficient, obtain the regional topographic undulation coefficient corresponding to the right topographic profile of the sample area to get the second regional altitude change, compare the numerical values of the first regional topographic undulation coefficient and the second regional topographic undulation coefficient, and mark the larger regional topographic undulation coefficient as the regional topographic undulation coefficient corresponding to the sample candidate line area.

[0037] Further, in step S2, the following specific steps are further included:

[0038] Step S21: Obtain the line topographic survey data, and obtain the sample candidate line area and multiple candidate line areas according to the line topographic survey data;

[0039] Step S22: Use the clustering algorithm to mark multiple candidate lines in the sample candidate line area, and select a sample candidate line from the divided multiple candidate lines;

[0040] Step S23: Analyze the connection angle of the transmission towers on the sample candidate line, and obtain the tower angle change value corresponding to the sample candidate line area according to the analysis result;

[0041] Step S24: Obtain the tower angle change value for each candidate line in the sample candidate line area respectively to obtain the tower angle change data corresponding to the sample candidate line area;

[0042] Step S25: Obtain the tower angle change data corresponding to each candidate line area respectively to obtain the tower angle survey data.

[0043] Further, in step S23, the following specific steps are further included:

[0044] Step S231: In the sample candidate line, mark any line end point of the sample candidate line as the line starting end point, mark several base points at the bottom of the transmission towers in the sample candidate line, respectively obtain the distance values between each base point at the bottom of the transmission tower and the line starting end point, and name the several base points at the bottom of the transmission towers in ascending order of the distance values as the G1 tower base point to the Gb tower base point;

[0045] Step S232: Obtain the preset distance value between every two adjacent transmission towers in the sample candidate line to get the tower preset distance value;

[0046] Step S233: In the sample candidate line, obtain the tower pole base points whose distances from the starting end point of the line are the preset distance values of the tower pole, and obtain the characteristic tower pole base points. Mark the line segment between the starting end point of the line and the characteristic tower pole base points as the tower pole starting line segment;

[0047] Step S234: In the sample candidate line, take the G1 tower pole base point as the first tower pole marking point, mark the tower pole base point that is one times the preset distance value of the tower pole away from the starting point of the tower pole as the second tower pole marking point, mark the tower pole base point that is two times the preset distance value of the tower pole away from the starting point of the tower pole as the third tower pole marking point, and so on, to obtain the j1-th tower pole marking point. Mark the set composed of the first tower pole marking point to the j1-th tower pole marking point as the G1 base point candidate group;

[0048] Step S235: In the tower pole starting line segment, obtain the tower pole base point closest to the characteristic tower pole base point, and obtain the Gp tower pole base point;

[0049] Step S236: Repeatedly perform the process of obtaining the G1 base point candidate group within the tower pole starting line segment, and respectively obtain the G2 tower pole candidate group to the Gp tower pole candidate group for the base point candidate groups with the G2 tower pole base point to the Gp tower pole base point as the first tower pole marking point;

[0050] Step S237: Analyze the connection angles of the tower pole base points in the G1 tower pole candidate group, and obtain the G1 tower pole angle change coefficient according to the analysis results.

[0051] Furthermore, in the step S237, the following specific steps are further included:

[0052] Step S2371: Respectively obtain the distance values between multiple tower pole base points in the G1 tower pole candidate group and the G1 tower pole base point, obtain multiple base point distance values, and rename the multiple tower pole base points from the smallest to the largest base point distance value as the Q1 tower pole base point to the Qm tower pole base point;

[0053] Step S2372: Analyze the angle value of the tower pole connection line between the Q1 tower pole base point and the Q2 tower pole base point, and obtain the n1 tower pole connection line angle value according to the analysis results;

[0054] Step S2373: Respectively obtain the tower pole connection line angle values between every two consecutive tower pole base points, and obtain the n2 tower pole connection line angle value to the n(m - 1) tower pole connection line angle value;

[0055] Step S2374: Calculate the tower pole angle change value corresponding to the sample candidate line area from the n1 tower pole connection line angle value to the n(m - 1) tower pole connection line angle value;

[0056] Calculate the tower pole angle change value corresponding to the sample candidate line area. The specific formula is as follows:

[0057] ;

[0058] Among them, Tgj is the tower pole angle change value corresponding to the sample candidate line, Lji is the angle value of the connection line of the ni tower poles, Lj(i - 1) is the angle value of the connection line of the n(i - 1) tower poles, and m is the value of the number of tower pole base points corresponding to the tower pole candidate group.

[0059] Furthermore, in the step S2372, the following specific steps are further included:

[0060] If the altitude value corresponding to the Q1 tower pole base point is greater than the altitude value corresponding to the Q2 tower pole base point, then draw a perpendicular line from the Q1 tower pole base point to the ground in the sectional view of the sample candidate line to obtain the first tower pole feature line, draw a perpendicular line from the Q2 tower pole base point to the first tower pole feature line to obtain the second tower pole feature line, draw a connection line between the Q1 tower pole base point and the Q2 tower pole base point to obtain the third tower pole feature line, and obtain the angle value of the connection line formed by the second tower pole feature line and the third tower pole feature line at the Q2 tower pole base point to obtain the n1 tower pole connection line angle value;

[0061] If the altitude value corresponding to the Q1 tower pole base point is less than or equal to the altitude value corresponding to the Q2 tower pole base point, then draw a perpendicular line from the Q2 tower pole base point to the ground in the sectional view of the sample candidate line to obtain the first tower pole feature line, draw a perpendicular line from the Q1 tower pole base point to the first tower pole feature line to obtain the second tower pole feature line, draw a connection line between the Q1 tower pole base point and the Q2 tower pole base point to obtain the third tower pole feature line, and obtain the angle value of the connection line formed by the second tower pole feature line and the third tower pole feature line at the Q1 tower pole base point to obtain the n1 tower pole connection line angle value.

[0062] Furthermore, in the step S3, the following specific steps are further included:

[0063] Step S31: Obtain the line terrain survey data, respectively obtain the regional terrain undulation coefficient corresponding to each candidate line area according to the line terrain survey data, compare the obtained multiple regional terrain undulation coefficients numerically, and mark the candidate line area corresponding to the smallest regional terrain undulation coefficient as the selected area of the power transmission and transformation line;

[0064] Step S32: Obtain the tower pole angle survey data, obtain the tower pole angle change data corresponding to the selected area of the power transmission and transformation line according to the tower pole angle survey data, obtain the tower pole angle change value corresponding to each candidate line according to the tower pole angle change data, and compare the obtained multiple tower pole angle change values numerically, and mark the candidate line corresponding to the smallest tower pole angle change value as the selected power transmission and transformation line.

[0065] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are as follows:

[0066] 1. The present invention analyzes the terrain undulation of each candidate line area to obtain the regional terrain undulation coefficient, analyzes the connection angle of transmission towers for each candidate line within each candidate line area to obtain the tower angle change value, and selects the location and route of the power transmission and transformation line based on the regional terrain undulation coefficient and the tower angle change value, which can improve the accuracy and objectivity of the location and route selection results;

[0067] 2. By selecting several candidate lines in each candidate line area for location and route selection investigation, and there is path overlap among the selected candidate lines, the comprehensiveness and scientificity of the location and route selection results can be ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings.

[0069] Figure 1 It is the overall system block diagram of the present invention;

[0070] Figure 2 It is the schematic diagram of the power transmission and transformation line planning area in the present invention;

[0071] Figure 3 It is the cross-section of the first type of area in the present invention;

[0072] Figure 4 It is the cross-section of the second type of area in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0073] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0074] Embodiment 1

[0075] Please refer to Figure 1 , the present invention provides a technical solution: a method for selecting the location and route of a power transmission and transformation line based on AI intelligence, including the following specific steps:

[0076] Step S1: Divide the power transmission and transformation line planning area into multiple candidate line areas, respectively perform regional terrain analysis on each candidate line area, and obtain the regional terrain undulation coefficient corresponding to each candidate line area according to the analysis results to obtain line terrain survey data;

[0077] In step S1, the following specific steps are further included:

[0078] Obtain the power transmission and transformation line planning area, use the clustering algorithm to mark multiple candidate line areas in the power transmission and transformation line planning area, and select a sample candidate line area from the divided multiple candidate line areas;

[0079] It should be noted that:

[0080] The power transmission and transformation line planning area involved here is specifically the area where the power transmission and transformation line needs to be located and routed, that is, the area that the power transmission and transformation line construction needs to pass through;

[0081] The candidate line area involved here is specifically the area virtually marked by the candidate line in the power transmission and transformation line planning area. Please refer to Figure 2 , since the candidate line areas here are virtually marked using the clustering algorithm, the candidate line areas can overlap with each other;

[0082] The clustering algorithm involved here can divide the power transmission and transformation line planning area into different sub-areas according to geographical data (such as terrain, land use type, etc.) and identify potential candidate line areas.

[0083] Obtain the regional terrain profile corresponding to the sample candidate line area to obtain the sample regional terrain profile;

[0084] Conduct regional terrain analysis on the sample candidate line area and obtain the regional terrain undulation coefficient according to the analysis results;

[0085] Specifically as follows:

[0086] Please refer to Figure 3 , in the sample regional terrain profile, mark the first terrain profile feature point as the first terrain profile feature point. If the first terrain profile feature point is at either end of the sample regional terrain profile, mark the sample regional terrain profile as the first type of regional profile. If the first terrain profile feature point is not at either end of the sample regional terrain profile, mark the sample regional terrain profile as the second type of regional profile;

[0087] When the sample regional terrain profile is the first type of regional profile, obtain the regional terrain undulation coefficient corresponding to the sample regional terrain profile;

[0088] Specifically as follows:

[0089] In the topographic profile of the sample area, obtain the altitude values corresponding to the left edge point and the right edge point of the inclined plane of the topographic profile of the sample area, obtain the altitude value of the left end point and the altitude value of the right end point, compare the altitude value of the left end point with the altitude value of the right end point. If the altitude value of the left end point is greater than or equal to the altitude value of the right end point, mark the left edge point as the peak slope end point and the right edge point as the valley slope end point. If the altitude value of the left end point is less than the altitude value of the right end point, mark the right edge point as the peak slope end point and the left edge point as the valley slope end point;

[0090] Draw a perpendicular line from the peak slope end point to the ground to obtain the first altitude feature line. Draw a perpendicular line from the valley slope end point to the first altitude feature line to obtain the second altitude feature line. Obtain the length values corresponding to the first altitude feature line and the second altitude feature line respectively, and obtain the first feature line length value and the second feature line length value;

[0091] Mark the connection line between the peak slope end point and the line passing through the valley slope end point as the third altitude feature line. Calculate the length value corresponding to the third altitude feature line from the first feature line length value and the second feature line length value to obtain the slope path length value;

[0092] Calculate the slope path length value. The specific formula is as follows:

[0093] ;

[0094] Where Plc is the slope path length value, Tzc1 is the first feature line length value, and Tzc2 is the second feature line length value;

[0095] In the slope area between the peak slope end point and the line passing through the valley slope end point, randomly select several altitude monitoring feature points, obtain the altitude values corresponding to each altitude monitoring feature point, calculate the difference between each altitude value and the altitude value corresponding to the valley slope end point, and take the absolute value of the obtained difference to obtain multiple altitude elevation values, and mark the obtained multiple altitude elevation values as Hbg1 to Hbga in order of numerical size;

[0096] It should be noted here that:

[0097] In this application, Hbg involved here is the identifier corresponding to the altitude elevation value, a is the quantity value corresponding to the altitude elevation value, and a is an integer greater than 0;

[0098] Calculate the average value of multiple altitude elevation values to obtain the average altitude elevation;

[0099] Calculate the regional terrain undulation coefficient corresponding to the sample candidate line area from multiple elevation values, the average elevation value, and the slope path length value;

[0100] Calculate the regional terrain undulation coefficient. The specific formula is as follows:

[0101] ;

[0102] Among them, Hbx is the regional terrain undulation coefficient, Hbgi is the elevation value, Hbgp is the average elevation value, and Llj is the slope path length value;

[0103] It should be noted here that:

[0104] In this application, Hbgi involved here can be any one of the multiple elevation values;

[0105] In specific implementation, there are the following experimental data:

[0106] The first group of data (gentle slope land):

[0107] Elevation values (Hbgi) 200m, 205m, 210m, 208m;

[0108] Average elevation value (Hbgp) 205.75m;

[0109] Slope path length (Llj) 1000m;

[0110] Then the calculated regional terrain undulation coefficient Hbx is 0.0037;

[0111] The second group of data (hilly terrain):

[0112] Elevation values (Hbgi) 150m, 180m, 170m, 160m;

[0113] Average elevation value (Hbgp) 165m;

[0114] Slope path length (Llj) 800mm;

[0115] Then the calculated regional terrain undulation coefficient Hbx is 0.0140;

[0116] The second group of data (mountainous terrain):

[0117] Elevation values (Hbgi) 300m, 350m, 400m, 380m;

[0118] Average elevation value (Hbgp) 357.5m;

[0119] The slope path length (Llj) is 500 m;

[0120] Then the calculated regional terrain undulation coefficient Hbx is 0.0749.

[0121] Please refer to Figure 4 , when the terrain profile of the sample area is the second type of area profile, in the terrain profile diagram of the sample area, draw a perpendicular line to the ground through the first terrain profile feature point to obtain the profile segmentation perpendicular line. Mark the terrain profile diagram of the sample area on the left side of the profile segmentation perpendicular line as the left terrain profile of the sample area, and mark the terrain profile diagram of the sample area on the right side of the profile segmentation perpendicular line as the right terrain profile of the sample area;

[0122] Obtain the regional terrain undulation coefficient corresponding to the left terrain profile of the sample area to get the first regional terrain undulation coefficient. Obtain the regional terrain undulation coefficient corresponding to the right terrain profile of the sample area to get the second regional altitude change. Compare the numerical values of the first regional terrain undulation coefficient and the second regional terrain undulation coefficient, and mark the larger regional terrain undulation coefficient as the regional terrain undulation coefficient corresponding to the sample candidate line area;

[0123] Repeat the process of obtaining the regional terrain undulation coefficient corresponding to the sample candidate line area, and obtain the regional terrain undulation coefficient corresponding to each candidate line area respectively to get the line terrain survey data;

[0124] It should be noted here that:

[0125] In this application, the line terrain survey data involved here includes the sample candidate line area, multiple candidate line areas, and the regional terrain undulation coefficient corresponding to each candidate line area.

[0126] Step S2: Analyze the connection angles of transmission towers in the candidate line area according to the line terrain survey data, and obtain the tower angle change value corresponding to each candidate circuit in the candidate line area according to the analysis result to get the tower angle survey data;

[0127] In the said step S2, it further includes the following specific steps:

[0128] Obtain the line terrain survey data, and obtain the sample candidate line area and multiple candidate line areas according to the line terrain survey data;

[0129] Use the clustering algorithm to mark multiple candidate lines in the sample candidate line area, and select a sample candidate line from the divided multiple candidate lines;

[0130] Analyze the connection angles of transmission towers for the sample candidate line, and obtain the tower angle change value corresponding to the sample candidate line area according to the analysis result;

[0131] The specific steps are as follows:

[0132] Within the sample candidate line, mark any one of the line endpoints of the sample candidate line as the starting line endpoint. Mark several base points at the bottom of the transmission tower poles in the sample candidate line. Respectively obtain the distance values between each base point at the bottom of the transmission tower pole and the starting line endpoint, and name the several base points at the bottom of the transmission tower poles as the base point of G1 tower pole to the base point of Gb tower pole in ascending order of the distance values;

[0133] It should be noted here that:

[0134] In this application, G involved here is the identifier corresponding to the base point at the bottom of the transmission tower pole, b is the numerical value corresponding to the number of base points at the bottom of the transmission tower pole, and b is an integer greater than 0;

[0135] In this application, the distance between the base point of G1 tower pole and the starting line endpoint is 0, so the base point of G1 tower pole coincides with the starting line endpoint.

[0136] Obtain the preset distance value between every two consecutive transmission tower poles in the sample candidate line to get the preset tower pole distance value;

[0137] It should be noted here that:

[0138] In this application, the sample candidate line involved here is specifically 800 kV high-voltage power transmission, and the preset tower pole distance value involved here is 50 meters;

[0139] In the sample candidate line, obtain the base point of the tower pole whose distance from the starting line endpoint is the preset tower pole distance value to get the characteristic tower pole base point, and mark the line segment between the starting line endpoint and the characteristic tower pole base point as the tower pole starting line segment;

[0140] In the sample candidate line, use the base point of G1 tower pole as the first tower pole marking point, mark the base point of the tower pole whose interval from the tower pole starting point is one times the preset tower pole distance value as the second tower pole marking point, mark the base point of the tower pole whose interval from the tower pole starting point is two times the preset tower pole distance value as the third tower pole marking point, and so on, to get the j1-th tower pole marking point, and mark the set composed of the first tower pole marking point to the j1-th tower pole marking point as the G1 base point candidate group;

[0141] Within the tower pole starting line segment, obtain the base point of the tower pole closest to the characteristic tower pole base point to get the base point of Gp tower pole;

[0142] It should be noted here that:

[0143] In this application, p is the numerical value of the number of base points of the tower pole within the tower pole starting line segment, that is, the base point of G1 tower pole to the base point of Gp tower pole are all within the tower pole starting line segment;

[0144] For the process of obtaining the repeated candidate group of G1 base points within the starting line segment of the tower pole, the candidate groups of base points with the G2 tower pole base point to the Gp tower pole base point as the first tower pole marking points are obtained respectively, and the G2 tower pole candidate group to the Gp tower pole candidate group are obtained;

[0145] Perform a connection angle analysis on the tower pole base points in the G1 tower pole candidate group, and obtain the G1 tower pole angle change coefficient according to the analysis result;

[0146] Specifically as follows:

[0147] Respectively obtain the distance values between multiple tower pole base points in the G1 tower pole candidate group and the G1 tower pole base point, obtain multiple base point distance values, and rename the multiple tower pole base points from the smallest to the largest base point distance value as the Q1 tower pole base point to the Qm tower pole base point;

[0148] It should be noted here that:

[0149] In this application, Q involved here is the tower pole base point identifier corresponding to the G1 tower pole candidate group, and m is the value of the number of tower pole base points corresponding to the tower pole candidate group.

[0150] Perform an angle value analysis on the tower pole connection line between the Q1 tower pole base point and the Q2 tower pole base point, and obtain the n1 tower pole connection line angle value according to the analysis result;

[0151] Specifically as follows:

[0152] If the altitude value corresponding to the Q1 tower pole base point is greater than the altitude value corresponding to the Q2 tower pole base point, draw a perpendicular line from the Q1 tower pole base point to the ground in the cross-sectional view of the sample candidate line to obtain the first tower pole feature line, draw a perpendicular line from the Q2 tower pole base point to the first tower pole feature line to obtain the second tower pole feature line, draw a connection line between the Q1 tower pole base point and the Q2 tower pole base point to obtain the third tower pole feature line, and obtain the connection angle value formed by the second tower pole feature line and the third tower pole feature line at the Q2 tower pole base point to obtain the n1 tower pole connection line angle value;

[0153] If the altitude value corresponding to the Q1 tower pole base point is less than or equal to the altitude value corresponding to the Q2 tower pole base point, draw a perpendicular line from the Q2 tower pole base point to the ground in the cross-sectional view of the sample candidate line to obtain the first tower pole feature line, draw a perpendicular line from the Q1 tower pole base point to the first tower pole feature line to obtain the second tower pole feature line, draw a connection line between the Q1 tower pole base point and the Q2 tower pole base point to obtain the third tower pole feature line, and obtain the connection angle value formed by the second tower pole feature line and the third tower pole feature line at the Q1 tower pole base point to obtain the n1 tower pole connection line angle value;

[0154] Repeat the process of obtaining the angle values of the tower pole connections for n1, and respectively obtain the angle values of the tower pole connections between every two consecutive tower pole base points, obtaining the angle values of the tower pole connections from n2 to n(m - 1);

[0155] Calculate the change value of the tower pole angle corresponding to the sample candidate line area from the angle values of the tower pole connections from n1 to n(m - 1);

[0156] Calculate the change value of the tower pole angle corresponding to the sample candidate line area. The specific formula is as follows:

[0157] ;

[0158] Where, Tgj is the change value of the tower pole angle corresponding to the sample candidate line, Lji is the angle value of the ni tower pole connection, Lj(i - 1) is the angle value of the n(i - 1) tower pole connection, and m is the number value of the tower pole base points corresponding to the tower pole candidate group;

[0159] It should be noted here that:

[0160] In this application, the angle value of the ni tower pole connection involved here can be any one of the angle values of the tower pole connections from n1 to n(m - 1);

[0161] In specific implementation, the experimental data is shown in Table 1:

[0162]

[0163] Then the change value of the tower pole angle 15.25 can be calculated;

[0164] In this application, by calculating the change value of the tower pole angle, the layout of the tower poles and the tension of the conductors can be optimized, thereby reducing power loss. Reasonably adjusting the angle helps to balance the force on the tower poles, reduce the risks of conductor vibration and contact with cross - spanning objects caused by uneven stress, and improve the stability of the line. On the other hand, calculating the change value of the tower pole angle can also improve the operation and maintenance efficiency and construction cost, and ensure the safety of the line selection for power transmission and transformation.

[0165] Repeat the process of obtaining the change value of the tower pole angle corresponding to the sample candidate line, and respectively obtain the change value of the tower pole angle for each candidate line within the sample candidate line area, obtaining the change data of the tower pole angle corresponding to the sample candidate line area;

[0166] Repeat the process of obtaining the change data of the tower pole angle corresponding to the sample candidate line area, and respectively obtain the change data of the tower pole angle corresponding to each candidate line area, obtaining the survey data of the tower pole angle;

[0167] Step S3: Select the location of the power transmission and transformation line based on the line terrain survey data to obtain the selected area of the power transmission and transformation line. Within the selected area of the power transmission and transformation line, select the line of the power transmission and transformation line according to the tower pole angle survey data to obtain the selected power transmission and transformation line;

[0168] In the said step S3, it further includes the following specific steps:

[0169] Obtain the line terrain survey data, respectively obtain the regional terrain undulation coefficient corresponding to each candidate line area according to the line terrain survey data, conduct a numerical comparison on the obtained multiple regional terrain undulation coefficients, and mark the candidate line area corresponding to the regional terrain undulation coefficient with the smallest value as the selected area of the power transmission and transformation line;

[0170] It should be noted here that:

[0171] If there is a tie for the smallest regional terrain undulation coefficient, then conduct a comparison on the tower pole angle change values of the candidate lines corresponding to the regional terrain undulation coefficients that are tied for the smallest. Here, multiple selected power transmission and transformation lines are allowed to appear.

[0172] Obtain the tower pole angle survey data, obtain the tower pole angle change data corresponding to the selected area of the power transmission and transformation line according to the tower pole angle survey data, obtain the tower pole angle change value corresponding to each candidate line according to the tower pole angle change data, and conduct a numerical comparison on the obtained multiple tower pole angle change values. Mark the candidate line corresponding to the tower pole angle change value with the smallest value as the selected power transmission and transformation line.

[0173] In this application, if there are corresponding calculation formulas, the above calculation formulas are all dimensionless and take their numerical values for calculation. The coefficients such as the weight coefficient and the proportionality coefficient in the formula are set to obtain a result value by quantifying each parameter. Regarding the magnitudes of the weight coefficient and the proportionality coefficient, as long as the proportional relationship between the parameters and the result value is not affected.

[0174] The above - disclosed preferred embodiments of the present invention are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A method for site selection and line selection of power transmission and transformation lines based on AI intelligence, characterized in that: include: Step S1: Divide the planned area of ​​the power transmission and transformation line into multiple candidate line areas, perform regional terrain analysis on each candidate line area respectively, obtain the regional terrain undulation coefficient corresponding to each candidate line area according to the analysis results, and obtain line terrain survey data; The step S1 further includes the following specific steps: Step S11: acquiring a planned area for a power transmission and transformation line, marking a plurality of candidate line areas in the planned area for a power transmission and transformation line, and selecting a sample candidate line area from the divided plurality of candidate line areas; Step S12: acquiring a regional terrain profile corresponding to the sample candidate line area to obtain a sample regional terrain profile; Step S13: performing a regional terrain analysis on the sample candidate route area, and obtaining a regional terrain relief coefficient according to the analysis result; Step S14: acquiring the regional terrain relief coefficient corresponding to each candidate line area to obtain line terrain survey data; Step S2: Analyze the transmission tower connection angle of the candidate line area according to the line topographic survey data, obtain the tower angle change value corresponding to each candidate circuit in the candidate line area according to the analysis result, and obtain the tower angle survey data; The step S2 comprises the following steps: Step S21: obtaining line topographic survey data, and obtaining a sample candidate line area and multiple candidate line areas according to the line topographic survey data; Step S22: marking a plurality of candidate routes in the sample candidate route area, and selecting a sample candidate route from the divided plurality of candidate routes; Step S23: Analyze the transmission tower connection angle of the sample candidate line, and obtain the tower angle change value corresponding to the sample candidate line area according to the analysis result; Step S24: acquiring the tower angle change value for each candidate line in the sample candidate line area, and obtaining the tower angle change data corresponding to the sample candidate line area; Step S25: acquiring tower angle change data corresponding to each candidate line area to obtain tower angle survey data; Step S3: selecting a site for the power transmission and transformation line according to the line topographic survey data to obtain a selected area for the power transmission and transformation line. Within the selected area for the power transmission and transformation line, selecting the power transmission and transformation line according to the tower angle survey data to obtain a selected power transmission and transformation line.

2. According to claim 1, a method for site selection and line selection of power transmission and transformation lines based on AI intelligence is characterized in that: The step S13 comprises the following steps: Step S131: in the sample area terrain profile, marking the first terrain profile feature point as the first terrain profile feature point; if the first terrain profile feature point is at any end of the sample area terrain profile, marking the sample area terrain profile as the first type of area profile; if the first terrain profile feature point is not at any end of the sample area terrain profile, marking the sample area terrain profile as the second type of area profile; Step S132: if the sample area terrain profile is a first type area profile, obtaining the area terrain relief coefficient corresponding to the sample area terrain profile; Step S133: If the sample area terrain profile is a second type area profile, the area terrain relief coefficient corresponding to the sample candidate line area is obtained.

3. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 2 is characterized in that: The step S132 includes the following steps: In the topographic profile of the sample area, the altitudes corresponding to the edge points on both sides of the slope of the topographic profile of the sample area are numerically obtained, and the edge points are marked as the peak slope endpoint and the valley slope endpoint respectively; A perpendicular line is drawn between the peak slope endpoint and the ground to obtain a first altitude characteristic line. A perpendicular line is drawn between the valley slope endpoint and the first altitude characteristic line to obtain a second altitude characteristic line. The length values ​​corresponding to the first altitude characteristic line and the second altitude characteristic line are obtained respectively to obtain the length value of the first characteristic line and the length value of the second characteristic line.

4. According to the AI-based intelligent power transmission and transformation line site selection method of claim 2, it is characterized in that: The step S132 further includes the following steps: The line connecting the peak slope endpoint and the valley slope endpoint is marked as the third altitude characteristic line. The length value of the first characteristic line Tzc1 and the length value of the second characteristic line Tzc2 are calculated to obtain the length value corresponding to the third altitude characteristic line, and the slope path length value Plc is obtained. The formula is as follows: ； In the slope area between the peak slope endpoint and the valley slope endpoint, a number of altitude monitoring feature points are randomly selected, and the altitude corresponding to each altitude monitoring feature point is numerically obtained to obtain multiple altitude values, and the difference between each altitude value and the altitude value corresponding to the valley slope endpoint is calculated, and the absolute value of the obtained difference is taken to obtain multiple altitude values, and the obtained multiple altitude values ​​are marked in sequence as Hbg1 to Hbga according to the numerical size; Calculate the average of multiple altitude values ​​to obtain the average altitude value; The regional terrain relief coefficient Hbx corresponding to the sample candidate line area is obtained by calculating multiple altitude values ​​Hbg1 to Hbga, the average altitude value Hbgp and the slope path length value Llj. The formula is as follows: 。 5. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 2 is characterized in that: The step S133 includes the following steps: In the topographic profile of the sample area, a perpendicular line to the ground is drawn through the first topographic profile feature point to obtain a profile segmentation perpendicular line, which are marked as the left topographic profile of the sample area and the right topographic profile of the sample area respectively; The regional terrain undulation coefficient corresponding to the left profile of the sample area terrain is obtained to obtain the first regional terrain undulation coefficient, and the regional terrain undulation coefficient corresponding to the right profile of the sample area terrain is obtained to obtain the second area elevation change. The first regional terrain undulation coefficient and the second regional terrain undulation coefficient are numerically compared, and the regional terrain undulation coefficient with a larger value is marked as the regional terrain undulation coefficient corresponding to the sample candidate line area.

6. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 1 is characterized in that: The step S23 includes the following steps: Step S231: in the sample candidate line, mark any line endpoint of the sample candidate line as the line start endpoint, mark several transmission tower base points in the sample candidate line, obtain the distance value between each transmission tower base point and the line start endpoint, and name them from G1 tower base point to Gb tower base point in order from small to large according to the distance value; Step S232: Obtaining a preset distance value between every two consecutive transmission towers of the sample candidate line to obtain a preset tower distance value; Step S233: in the sample candidate routes, a tower base point whose distance from the route start end point is a preset tower distance value is obtained to obtain a characteristic tower base point, and the route segment between the route start end point and the characteristic tower base point is marked as a tower start point route segment; Step S234: in the sample candidate route, the G1 tower base point is used as the first tower marking point, the tower base point that is spaced from the tower starting point by a value equal to one times the tower preset distance is marked as the second tower marking point, and so on, the j1th tower marking point is marked, and the set consisting of the first tower marking point to the j1th tower marking point is marked as the G1 base point candidate group; Step S235: in the tower starting point line segment, obtain the tower base point closest to the characteristic tower base point to obtain the Gp tower base point; Step S236: respectively acquiring the base point candidate group from the G2 tower base point to the Gp tower base point as the first tower marking point, to obtain the G2 tower candidate group to the Gp tower candidate group; Step S237: performing line angle analysis on the tower base points in the G1 tower candidate group, and obtaining the G1 tower angle variation coefficient according to the analysis result.

7. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 6 is characterized in that: The step S237 includes the following steps: Step S2371: respectively obtaining distance values ​​between multiple tower base points in the G1 tower candidate group and the G1 tower base point to obtain multiple base point distance values, and renaming the multiple tower base points from Q1 tower base point to Qm tower base point according to the base point distance values ​​from small to large; Step S2372: performing angle numerical analysis on the tower pole line between the Q1 tower pole base point and the Q2 tower pole base point, and obtaining the angle value of the n1 tower pole line according to the analysis result; Step S2373: respectively obtain the tower pole connection angle values ​​between each two consecutive tower pole base points, and obtain the n2 tower pole connection angle values ​​to the n(m-1) tower pole connection angle values; Step S2374: The tower angle change value Tgj corresponding to the sample candidate line area is obtained by calculating the n1 tower line angle value Lj1 to the n(m-1) tower line angle value Lj(m-1), as follows: 。 8. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 7 is characterized in that: The step S2372 includes the following steps: If the altitude value corresponding to the Q1 tower base point is greater than the altitude value corresponding to the Q2 tower base point, a perpendicular line is drawn between the Q1 tower base point and the ground in the profile of the sample candidate line to obtain the first tower characteristic line, a perpendicular line is drawn through the Q2 tower base point to the first tower characteristic line to obtain the second tower characteristic line, a line is drawn connecting the Q1 tower base point and the Q2 tower base point to obtain the third tower characteristic line, the angle value formed by the second tower characteristic line and the third tower characteristic line at the Q2 tower base point is obtained, and the angle value of the n1 tower connection line is obtained; If the altitude value corresponding to the Q1 tower base point is less than or equal to the altitude value corresponding to the Q2 tower base point, then draw a perpendicular line between the Q2 tower base point and the ground in the profile diagram of the sample candidate line to obtain the first tower characteristic line, draw a perpendicular line to the first tower characteristic line through the Q1 tower base point to obtain the second tower characteristic line, draw a line connecting the Q1 tower base point and the Q2 tower base point to obtain the third tower characteristic line, obtain the angle value of the second tower characteristic line and the third tower characteristic line at the Q1 tower base point, and obtain the angle value of the n1 tower connection line.

9. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 1 is characterized in that: The step S3 further includes the following specific steps: Step S31: obtaining line terrain survey data, obtaining the regional terrain relief coefficient corresponding to each candidate line area according to the line terrain survey data, comparing the values ​​of the obtained multiple regional terrain relief coefficients, and marking the candidate line area corresponding to the regional terrain relief coefficient with the smallest value as the selected area for the power transmission and transformation line; Step S32: Acquire tower angle survey data, acquire tower angle change data corresponding to the selected area of ​​the power transmission and transformation line according to the tower angle survey data, acquire tower angle change values ​​corresponding to each candidate line according to the tower angle change data, and perform numerical comparison on the multiple tower angle change values ​​acquired, and mark the candidate line corresponding to the tower angle change value with the smallest numerical value as the selected power transmission and transformation line.

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