Power transmission and transformation line site and line selection method based on AI intelligence

Abstract

The invention discloses a power transmission and transformation line site selection and line selection method based on AI intelligence, relates to the field of power transmission, solves the problem of poor application effect of an existing power transmission and transformation line site selection and line selection method, and comprises the following steps: S1, dividing a power transmission and transformation line planning area into a plurality of candidate line areas, the method comprises the following steps: S1, carrying out regional terrain analysis on each candidate line region, and obtaining line terrain survey data according to an analysis result, S2, carrying out power transmission tower pole connection angle analysis on the candidate line regions according to the line terrain survey data, obtaining tower pole angle survey data according to the analysis result, and carrying out power transmission tower pole connection angle analysis on the candidate line regions; and S3, site selection is carried out on the power transmission and transformation line according to the line topographic survey data, a power transmission and transformation line selection area is obtained, line selection is carried out on the power transmission and transformation line in the power transmission and transformation line selection area according to the tower pole angle survey data, and a power transmission and transformation selected line is obtained. The accuracy of the power transmission and transformation line site selection and line selection method can be improved.

Description

Technical Field

[0001] The present invention belongs to the field of electric power transportation and relates to AI intelligent technology, specifically a method for site selection and line selection of power transmission and transformation lines based on AI intelligence. Background Art

[0002] The existing methods for site selection and line selection of power transmission and transformation lines have the following specific defects when performing site selection and line selection: 1. The existing site selection and line selection methods for power transmission and transformation lines cannot analyze the terrain undulations of each candidate line area, and cannot analyze the connection angle of the transmission tower poles of each candidate line in each candidate line area, resulting in the lack of accuracy and objectivity in the site selection and line selection results; 2. The existing site selection and route selection methods for power transmission and transformation lines take into account the economic cost and survey efficiency of manual data survey, and can often only select a few candidate lines in the candidate line area for site selection and route selection, resulting in a lack of comprehensiveness in the site selection and route selection results.

[0003] To this end, we propose a method for site selection and route selection of power transmission and transformation lines based on AI intelligence. Summary of the invention

[0004] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a method for site selection and line selection of power transmission and transformation lines based on AI intelligence. The present invention aims to improve the accuracy and comprehensiveness of the site selection and line selection results of power transmission and transformation lines.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a method for site selection and line selection of power transmission and transformation lines based on AI intelligence, comprising the following specific steps: 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; 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; 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.

[0006] Furthermore, the step S1 further includes the following specific steps: Step S11: acquiring the planned area of ​​the power transmission and transformation line, marking a plurality of candidate line areas in the planned area of ​​the power transmission and transformation line using a clustering algorithm, 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; The step S13 further includes the following specific 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.

[0007] Furthermore, the step S132 further includes the following specific steps: In the topographic profile of the sample area, the altitudes corresponding to the left edge points and the right edge points of the slope of the topographic profile of the sample area are numerically obtained to obtain the altitude values ​​of the left endpoint and the right endpoint, and the altitude values ​​of the left endpoint are numerically compared with the altitude values ​​of the right endpoint. If the altitude value of the left endpoint is greater than or equal to the altitude value of the right endpoint, the left edge point is marked as the peak slope endpoint, and the right edge point is marked as the valley slope endpoint. If the altitude value of the left endpoint is less than the altitude value of the right endpoint, the right edge point is marked as the peak slope endpoint, and the left edge point is marked as the valley slope endpoint. 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.

[0008] Furthermore, the step S132 further includes the following specific steps: The line connecting the peak slope endpoint and the valley slope endpoint is marked as the third altitude characteristic line, and the length value of the first characteristic line and the length value of the second characteristic line are calculated to obtain the length value corresponding to the third altitude characteristic line, and the slope path length value is obtained; The slope path length is calculated using the following formula: ; Wherein, Plc is the slope path length value, Tzc1 is the first characteristic line length value, and Tzc2 is the second characteristic line length value; 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 corresponding to the sample candidate route area is obtained by calculating multiple altitude values, altitude average values ​​and slope path length values; The regional terrain relief coefficient is calculated using the following formula: ; Among them, Hbx is the regional terrain undulation coefficient, Hbgi is the altitude value, Hbgp is the average altitude value, and Llj is the slope path length value.

[0009] Furthermore, the step S133 further includes the following specific steps: In the topographic profile of the sample area, a perpendicular line is drawn through the first topographic profile feature point to the ground to obtain a profile segmentation perpendicular line, and the topographic profile of the sample area on the left side of the profile segmentation perpendicular line is marked as the topographic left profile of the sample area, and the topographic profile of the sample area on the right side of the profile segmentation perpendicular line is marked as the topographic right profile of the sample area; 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.

[0010] Furthermore, the step S2 further includes the following specific 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: using a clustering algorithm to mark multiple candidate routes in the sample candidate route area, and selecting a sample candidate route from the multiple candidate routes that have been divided; 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 respectively to obtain tower angle survey data.

[0011] Furthermore, the step S23 further includes the following specific steps: Step S231: in the sample candidate line, mark any line endpoint of the sample candidate line as the line start endpoint, mark several base points at the bottom of the transmission tower pole in the sample candidate line, obtain the distance value between each base point at the bottom of the transmission tower pole and the line start endpoint, and name the base points at the bottom of the transmission tower pole from G1 tower pole base point to Gb tower pole base point in order according to the distance value from small to large; 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 with a distance from the tower starting point equal to one times the tower preset distance value is marked as the second tower marking point, the tower base point with a distance from the tower starting point equal to two times the tower preset distance value is marked as the third tower marking point, and so on, to obtain the j1th tower marking point, 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: Repeat the process of acquiring the G1 base point candidate group within the line segment where the tower starts, and acquire the base point candidate groups 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.

[0012] Furthermore, the step S237 further includes the following specific 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: calculating the tower angle change value corresponding to the sample candidate line area by converting the n1 tower line angle value to the n(m-1) tower line angle value; The tower angle change value corresponding to the sample candidate line area is calculated. The specific formula is as follows: ; Among them, Tgj is the tower angle change value corresponding to the sample candidate line, Lji is the angle value of the ni tower line, Lj(i-1) is the angle value of the n(i-1) tower line, and m is the number of tower base points corresponding to the tower candidate group.

[0013] Furthermore, the step S2372 further includes the following specific 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 of the connecting line 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 connecting 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 connecting line between 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 line.

[0014] Furthermore, 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.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: 1. The present invention obtains the regional terrain fluctuation coefficient by performing terrain fluctuation analysis on each candidate line area, and obtains the tower angle change value by performing transmission tower connection angle analysis on each candidate line in each candidate line area, and selects the site and line of the transmission and transformation line according to the regional terrain fluctuation coefficient and the tower angle change value, which can improve the accuracy and objectivity of the site selection and line selection results; 2. By selecting a majority of candidate routes in each candidate route area for site selection and route selection investigation, and the selected candidate routes have overlapping paths, the comprehensiveness and scientificity of the site selection and route selection results can be guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0017] Figure 1 is the overall system block diagram of the present invention; Figure 2 It is a schematic diagram of the area for planning the power transmission and transformation lines in the present invention; Figure 3 It is the first type of regional profile in the present invention; Figure 4 This is the second type of regional cross section in the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1 See also Figure 1 The present invention provides a technical solution: a method for site selection and line selection of power transmission and transformation lines based on AI intelligence, comprising the following specific steps: 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: The power transmission and transformation line planning area is obtained, a plurality of candidate line areas are marked in the power transmission and transformation line planning area using a clustering algorithm, and a sample candidate line area is selected from the divided plurality of candidate line areas; It should be noted that: The power transmission and transformation line planning area involved here is specifically the area where the power transmission and transformation line needs to be sited and routed, that is, the area where the power transmission and transformation line needs to pass through; The candidate line area involved here is specifically the virtual marked area of ​​the candidate line in the transmission and transformation line planning area. Figure 2 ,Since the candidate route regions here are virtually marked using the clustering algorithm, the candidate route regions can overlap with each other; The clustering algorithm involved here can divide the transmission and transformation line planning area into different sub-areas according to geographic data (such as topography, land use type, etc.) and identify potential candidate line areas.

[0020] Acquiring the regional terrain profile corresponding to the sample candidate line area to obtain the sample regional terrain profile; Perform regional terrain analysis on the sample candidate route area, and obtain the regional terrain relief coefficient based on the analysis results; The details are as follows: See also Figure 3, in the sample area terrain profile, the first terrain profile feature point is marked as the first terrain profile feature point, if the first terrain profile feature point is at any end of the sample area terrain profile, the sample area terrain profile is marked 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, the sample area terrain profile is marked as the second type of area profile; If the sample area terrain profile is a first type of area profile, the regional terrain relief coefficient corresponding to the sample area terrain profile is obtained; The details are as follows: In the topographic profile of the sample area, the altitudes corresponding to the left edge points and the right edge points of the slope of the topographic profile of the sample area are numerically obtained to obtain the altitude values ​​of the left endpoint and the right endpoint, and the altitude values ​​of the left endpoint are numerically compared with the altitude values ​​of the right endpoint. If the altitude value of the left endpoint is greater than or equal to the altitude value of the right endpoint, the left edge point is marked as the peak slope endpoint, and the right edge point is marked as the valley slope endpoint. If the altitude value of the left endpoint is less than the altitude value of the right endpoint, the right edge point is marked as the peak slope endpoint, and the left edge point is marked as the valley slope endpoint. Draw a perpendicular line between the peak slope endpoint and the ground to obtain a first altitude characteristic line, draw a perpendicular line between the valley slope endpoint and the first altitude characteristic line to obtain a second altitude characteristic line, obtain the length values ​​corresponding to the first altitude characteristic line and the second altitude characteristic line respectively, and obtain the length value of the first characteristic line and the length value of the second characteristic line; The line connecting the peak slope endpoint and the valley slope endpoint is marked as the third altitude characteristic line, and the length value of the first characteristic line and the length value of the second characteristic line are calculated to obtain the length value corresponding to the third altitude characteristic line, and the slope path length value is obtained; The slope path length is calculated using the following formula: ; Wherein, Plc is the slope path length value, Tzc1 is the first characteristic line length value, and Tzc2 is the second characteristic line length value; 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; It should be noted here that: In the present application, Hbg referred to herein is an identifier corresponding to the altitude value, a is a numerical value corresponding to the altitude value, and a is an integer greater than 0; Calculate the average of multiple altitude values ​​to obtain the average altitude value; The regional terrain relief coefficient corresponding to the sample candidate route area is obtained by calculating multiple altitude values, the average altitude values ​​and the slope path length values; The regional terrain relief coefficient is calculated using the following formula: ; Among them, Hbx is the regional terrain undulation coefficient, Hbgi is the altitude value, Hbgp is the average altitude value, and Llj is the slope path length value; It should be noted here that: In the present application, Hbgi referred to herein may be any altitude value among a plurality of altitude values; In the specific implementation, there are the following experimental data: The first set of data (gentle slope): Altitude values ​​(Hbgi): 200m, 205m, 210m, 208m; The average altitude (Hbgp) is 205.75m; Slope path length (Llj) 1000m; Then the regional terrain relief coefficient Hbx is calculated to be 0.0037; The second set of data (hilly terrain): Altitude values ​​(Hbgi): 150m, 180m, 170m, 160m; Average altitude (Hbgp) 165m; Slope path length (Llj) 800mm; Then the calculated regional terrain relief coefficient Hbx is 0.0140; The second set of data (mountainous terrain): Altitude (Hbgi): 300m, 350m, 400m, 380m; The average altitude (Hbgp) is 357.5m; Slope path length (Llj) 500m; The calculated regional terrain relief coefficient Hbx is 0.0749.

[0021] See also Figure 4If the sample area terrain profile is a second type area profile, in the sample area terrain profile, a vertical line is drawn through the first terrain profile feature point to the ground to obtain a profile segmentation vertical line, and the sample area terrain profile on the left side of the profile segmentation vertical line is marked as the sample area terrain left profile, and the sample area terrain profile on the right side of the profile segmentation vertical line is marked as the sample area terrain right profile; The regional terrain relief coefficient corresponding to the left profile of the sample area terrain is obtained to obtain the first regional terrain relief coefficient, and the regional terrain relief coefficient corresponding to the right profile of the sample area terrain is obtained to obtain the second regional altitude change, and the first regional terrain relief coefficient and the second regional terrain relief coefficient are numerically compared, and the regional terrain relief coefficient with a larger value is marked as the regional terrain relief coefficient corresponding to the sample candidate line area; Repeat the process of obtaining the regional terrain relief coefficient corresponding to the sample candidate line area, respectively obtain the regional terrain relief coefficient corresponding to each candidate line area, and obtain line terrain survey data; It should be noted here that: In the present application, the route terrain survey data involved herein includes a sample candidate route area, a plurality of candidate route areas, and a regional terrain relief coefficient corresponding to each candidate route area.

[0022] 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 further includes the following specific steps: Acquire route topographic survey data, and acquire a sample candidate route area and multiple candidate route areas according to the route topographic survey data; Using a clustering algorithm to mark multiple candidate routes in the sample candidate route area, and selecting a sample candidate route from the multiple divided candidate routes; Perform transmission tower connection angle analysis on the sample candidate lines, and obtain tower angle change values ​​corresponding to the sample candidate line area according to the analysis results; The details are as follows: In the sample candidate line, any line endpoint of the sample candidate line is marked as the line starting endpoint, and several base points at the bottom of the transmission tower pole are marked in the sample candidate line, and the distance value between each base point at the bottom of the transmission tower pole and the line starting endpoint is obtained respectively, and the base points at the bottom of the transmission tower pole are named G1 tower pole base point to Gb tower pole base point in order according to the distance value from small to large; It should be noted here that: In this application, G referred to herein is an identifier corresponding to the base point at the bottom of the transmission tower pole, b is a quantity value corresponding to the base point at the bottom of the transmission tower pole, and b is an integer greater than 0; In the present application, the distance between the G1 tower base point and the starting end point of the line is 0, so the G1 tower base point coincides with the starting end point of the line.

[0023] Obtaining a preset distance value between every two consecutive transmission towers of the sample candidate line to obtain a preset tower distance value; It should be noted here that: In this application, the sample candidate line involved here is specifically 800kV high voltage transmission, and the preset distance value of the tower involved here is 50 meters; In the sample candidate routes, the tower base point whose distance from the starting end point of the route is the preset distance value of the tower is obtained to obtain the characteristic tower base point, and the route segment between the starting end point of the route and the characteristic tower base point is marked as the tower starting point route segment; In the sample candidate route, the G1 tower base point is taken as the first tower marking point, the tower base point with a distance of one times the tower preset distance from the tower starting point is marked as the second tower marking point, the tower base point with a distance of two times the tower preset distance from the tower starting point is marked as the third tower marking point, and so on, to obtain the j1th tower marking point, and the set composed of the first tower marking point to the j1th tower marking point is marked as the G1 base point candidate group; In the line section where the tower pole starts, the tower pole base point closest to the characteristic tower pole base point is obtained to obtain the Gp tower pole base point; It should be noted here that: In this application, p is the number of tower base points in the tower starting line segment, that is, the G1 tower base point to the Gp tower base point are all in the tower starting line segment; Repeat the process of obtaining the G1 base point candidate group within the line segment where the tower starts, and obtain 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; Perform line angle analysis on the tower base points in the G1 tower candidate group, and obtain the G1 tower angle variation coefficient based on the analysis results; The details are as follows: Respectively obtain the 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 rename 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; It should be noted here that: In the present application, Q referred to here is the tower base point identifier corresponding to the G1 tower candidate group, and m is the number of tower base points corresponding to the tower candidate group.

[0024] Perform angle numerical analysis on the tower pole connection line between the Q1 tower pole base point and the Q2 tower pole base point, and obtain the angle value of the n1 tower pole connection line according to the analysis result; The details are as follows: 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 of the connecting line 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 connecting 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 in the profile of the sample candidate line, a perpendicular line is drawn between the Q2 tower base point and the ground to obtain the first tower characteristic line, a perpendicular line is drawn through the Q1 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 of the connecting line formed by the second tower characteristic line and the third tower characteristic line at the Q1 tower base point is obtained, and the angle value of the n1 tower connecting line is obtained; Repeat the process of obtaining the angle value of the n1 tower pole connection line, respectively obtain the angle value of the tower pole connection line between each two consecutive tower pole base points, and obtain the angle value of the n2 tower pole connection line to the angle value of the n(m-1) tower pole connection line; The tower angle change value corresponding to the sample candidate line area is obtained by calculating the angle value of the n1 tower line to the angle value of the n(m-1) tower line; The tower angle change value corresponding to the sample candidate line area is calculated. The specific formula is as follows: ; Among them, Tgj is the tower angle change value corresponding to the sample candidate line, Lji is the angle value of the ni tower line, Lj(i-1) is the angle value of the n(i-1) tower line, and m is the number of tower base points corresponding to the tower candidate group; It should be noted here that: In the present application, the ni tower pole connection angle value involved here can be any tower pole connection angle value from n1 tower pole connection angle value to n(m-1) tower pole connection angle value; In the specific implementation, the experimental data is shown in Table 1: Then the tower angle change value can be calculated to be 15.25; In this application, by calculating the change in tower angle, the tower layout and conductor tension can be optimized, thereby reducing power loss. Reasonable adjustment of the angle helps to balance the force on the tower, reduce the risk of conductor vibration and contact with crossing objects caused by uneven stress, and improve line stability. On the other hand, calculating the change in tower angle can also improve operation and maintenance efficiency and construction costs, and ensure the safety of transmission and transformation line selection.

[0025] Repeat the process of obtaining the tower angle change value corresponding to the sample candidate line, obtain the tower angle change value for each candidate line in the sample candidate line area, and obtain the tower angle change data corresponding to the sample candidate line area; Repeat the process of acquiring the tower angle change data corresponding to the sample candidate line area, respectively acquire the tower angle change data corresponding to each candidate line area, and obtain the 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, and selecting a line for the power transmission and transformation line according to the tower angle survey data within the selected area for the power transmission and transformation line to obtain a selected line for the power transmission and transformation line; The step S3 further includes the following specific steps: Acquire the line topographic survey data, obtain the regional topographic relief coefficient corresponding to each candidate line area according to the line topographic survey data, compare the values ​​of the obtained multiple regional topographic relief coefficients, and mark the candidate line area corresponding to the regional topographic relief coefficient with the smallest value as the selected area for the power transmission and transformation line; It should be noted here that: If there are two minimum regional terrain undulation coefficients, the tower angle change values ​​of the candidate lines corresponding to the simultaneously minimum regional terrain undulation coefficients are compared. Multiple selected transmission and transformation lines are allowed here.

[0026] Obtain tower angle survey data, obtain tower angle change data corresponding to the selected area of ​​the power transmission and transformation line based on the tower angle survey data, obtain the tower angle change value corresponding to each candidate line based on the tower angle change data, and perform numerical comparison on the obtained multiple tower angle change values, 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.

[0027] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0028] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. 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; 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; 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 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; 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 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 respectively to obtain tower angle survey data.

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 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.

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 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: 。 9. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 8 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.

10. The method for site selection and line selection of power transmission and transformation lines based on AI intelligence according to claim 1, 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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