Method and system for designing pre-tension of flexible photovoltaic support cable structure

Abstract

This invention relates to the field of computer-aided design technology, specifically to a pre-tensioning design method and system for flexible photovoltaic support cable structures. The method includes the following steps: acquiring elevation data, extracting aspect differences, marking directional transition zones to generate a location table, reconstructing the main deployment direction to form a continuous path, identifying tension offsets to generate a coupling spectrum, fitting response differences to locate adjustment sections, and integrating path coupling stiffness to generate a tension configuration suggestion table. In this invention, by introducing an elevation model aspect difference analysis method, accurate identification of terrain directional transition zones is achieved. By constructing a continuous main axis direction sequence, a continuous transition of the deployment direction is completed. By collecting the stress trends and deformation responses of cable segments between path nodes, tension offset zones and stiffness response difference sections are identified, enabling the reconstruction of regional tension adaptation relationships. This effectively improves the continuity of support deployment and tension adjustment efficiency under various terrains, enhancing the overall structural coordination and stability.

Description

Technical Field

[0001] This invention relates to the field of computer-aided design technology, and in particular to a pre-tension design method and system for flexible photovoltaic support cable structures. Background Technology

[0002] Computer-aided design (CAD) technology encompasses the entire process of modeling, simulating, and optimizing engineering design schemes using computer software and algorithm models. It primarily includes core aspects such as geometric modeling, parametric design, simulation analysis, optimization algorithms, and graphical visualization. This technology is widely applied in various engineering fields, including architecture, machinery, electronics, aerospace, and new energy, aiming to improve design efficiency, enhance design accuracy, and automate the design process. In the renewable energy sector, particularly in the structural design of photovoltaic (PV) power generation systems, CAD technology can assist in achieving illumination simulation, structural stress analysis, and system layout optimization. It is especially suitable for the rapid design and performance evaluation of PV support systems under complex terrain conditions. Traditional pre-tensioning design methods for flexible PV support cable structures refer to the technical means of applying initial tension to the cable structure in the PV support to ensure the overall stiffness and stability of the system. This involves setting the initial tension using empirical formulas or static calculation models. Specifically, this includes estimating the tension value based on fundamental physical parameters such as cable length, structural span, and wind load, or using finite element analysis software to compare and calculate the structural response under different pre-tensioning states to determine the appropriate tension level. These methods rely heavily on manual adjustments and multiple rounds of simulation iterations, making them unsuitable for the rapid pre-setting needs of structures in complex terrain or high-density layout scenarios.

[0003] In the pre-tension setting process of photovoltaic support cable structures, existing technologies mainly rely on empirical formulas or static calculation models to estimate the initial tension. This mode is highly dependent on human intervention and engineering experience, and cannot fully respond to the complex impact of terrain slope changes on structural stability. It lacks the ability to dynamically identify and adjust slope aspect jumps, node coupling trends, and local stiffness differences. When dealing with areas with complex terrain or dense support layout, it is difficult to accurately achieve tension matching and structural continuity, resulting in uneven force distribution of cable segments, local tension imbalance, and significant fluctuations in structural performance response, which affects overall stability and tension adjustment efficiency. Summary of the Invention

[0004] To address the technical problems existing in the prior art, embodiments of the present invention provide a pre-tension design method for flexible photovoltaic support cable structures, comprising the following steps:

[0005] S1: Obtain elevation model data of the photovoltaic power station construction area, divide the elevation model into equal grids, extract the slope angle parameters of the grids, call the angle difference between the peak and valley values ​​of the slope angle of adjacent grid groups, compare the angle difference with the set slope jump judgment criteria, and generate a table of location information of the direction jump zone.

[0006] S2: Based on the spatial coordinates of the transition zone in the position information table of the direction transition zone, establish the main axis sliding layout window of the adjacent area, calculate the weighted concentration of the direction distribution, and generate the direction reconstruction layout path segment.

[0007] S3: Based on the reconstructed path segment, determine the path node position, collect the initial tension loading value of the cable along the path node and the force change trend of the cable segment between adjacent nodes, calculate the consistency between the tension change direction and the cable segment length change, and generate a regionalized pretension coupling relationship map.

[0008] S4: Call the tension offset region marked in the regionalized pretension coupling relationship map, collect the deformation response of the cable segments between nodes during the loading process and the trend of the rotation angle change between adjacent nodes, identify the differences in the regional stiffness response characteristics, and generate stiffness response characteristic zoning location results.

[0009] As a further aspect of the present invention, the directional transition zone location information table includes the spatial coordinates of the directional transition zone, the distribution of angle differences, and the transition boundary contour; the directional reconstruction layout path segment includes the layout direction sequence, transition connection nodes, and path segment division parameters; the regionalized pretension coupling relationship map includes the tension offset zone distribution, node coupling trend, and cable segment tension amplitude direction; and the stiffness response characteristic zoning location result includes stiffness response difference segments, node deformation trend indicators, and rotation angle change distribution characteristics.

[0010] As a further aspect of the present invention, the specific steps of S1 are as follows:

[0011] S101: Obtain elevation model data of the photovoltaic power station construction area, and perform rasterization processing on the elevation model. Divide the entire area into equally divided raster units, extract the slope angle parameters corresponding to the raster units, and obtain the slope angle configuration table.

[0012] S102: Call the slope angle value of the target grid cell in the slope angle configuration table, select the slope angle values ​​corresponding to multiple adjacent grid cells, construct an angle sequence based on the adjacent slope angle values, pair the local maxima and minima in the angle sequence, calculate the angle difference, compare the angle difference with the set slope jump judgment criteria, filter the grid cells that meet the criteria of angle difference being greater than the slope jump judgment criteria, and obtain the direction jump judgment index set;

[0013] S103: Based on the raster cell index information recorded in the directional jump determination index set, combined with the geographic spatial coordinates of the raster cells in the elevation model, extract the two-dimensional spatial location attributes and perform numbering and encoding processing, aggregate the spatial distribution information and location information of the raster cells that meet the conditions, and generate a directional jump zone location information table.

[0014] As a further aspect of the present invention, the specific steps of S2 are as follows:

[0015] S201: Based on the spatial coordinates of the transition zone recorded in the position information table of the transition zone, establish a window with a fixed range boundary centered on the transition zone grid. The window slides within the two-dimensional area at a preset step size, traversing the transition zone grid to obtain the set of sliding windows on the main axis.

[0016] S202: Call the main axis sliding layout window set, extract the slope angle parameters of the grid cells within the coverage area, construct a weight factor sequence based on the frequency of the slope angle values, multiply the weight factor sequence with the corresponding angle values ​​and sum them, and perform a ratio operation with the total weight to obtain the weighted concentration value of the directional distribution within the window area, determine the peak value of the weighted concentration value, and obtain the main layout direction angle.

[0017] S203: Call the direction angle value of the main axis sliding layout window in the main layout direction angle, arrange it linearly according to the window sliding path order, extract the direction angle values ​​of two adjacent windows and determine whether the direction difference between them exceeds the set direction continuity tolerance value. If it exceeds, perform linear interpolation smoothing on the middle area to construct a continuous direction sequence with smooth transition of direction values, and map the adjusted continuous direction sequence to the original layout window path coordinate system to generate the direction reconstruction layout path segment.

[0018] As a further aspect of the present invention, the specific steps of S3 are as follows:

[0019] S301: Based on the direction, reconstruct the path node positions in the path segment, measure the tension of the cable at the node in sequence along the path node, collect the cable tension value of the node in the initial loading state, and extract the force change amplitude sequence of the cable segment between adjacent nodes to obtain the path tension loading and force change parameter set.

[0020] S302: Call the path tension loading and force change parameter set, compare the tension change direction and length change direction at the corresponding position one by one, determine whether the angle between the direction vectors is close to zero, calculate the consistency between the tension change direction and length change direction of each cable segment, filter cable segments with a consistency degree lower than the set consistency judgment benchmark value, and obtain the local tension offset cable segment index set.

[0021] S303: Call the local tension offset cable segment index set, retrieve the positional relationship of the start and end nodes in the path nodes, construct a set of node pairs connected by the cable segment, extract the pretension loading value for each node pair, compare the synchronization level of tension values ​​between node pairs, integrate the coupling relationship of node pairs, and generate a regionalized pretension coupling relationship map.

[0022] As a further aspect of the present invention, the specific steps of S4 are as follows:

[0023] S401: Call the marked tension offset region in the regionalized pretension coupling relationship map, deploy strain monitoring devices between the path nodes associated with the tension offset region, collect the deformation of multiple cable segments between nodes during the loading process, synchronously record the rotation angle change amplitude between each pair of adjacent nodes, and obtain the joint sequence of loading response and rotation angle change.

[0024] S402: Call each set of data points in the combined sequence of loading response and rotation angle change, use the node deformation response amount to perform regression fitting on the rotation angle change rate between nodes, normalize the slope of the fitted curve in the tension offset region, calculate the mean square value of the fitted residual in the region, classify the stiffness response intensity category according to the difference in slope and residual distribution, and obtain the regional stiffness response classification identifier set.

[0025] S403: Call the identifiers identified as deviations in response intensity from the regional stiffness response classification identifier set, extract the corresponding path segment spatial coordinate range, match the position with the node information in the regionalized pretension coupling relationship map, filter the path node segments with disordered coupling relationships and abnormal stiffness response characteristics, perform cable segment numbering and spatial position mapping, and generate stiffness response feature partitioning and positioning results.

[0026] As a further aspect of the present invention, the process of normalizing the slope of the fitted curve within the tension offset region specifically involves calling each set of data points in the joint sequence of loading response and rotation angle change, performing multiple linear regression on the node deformation response based on the rotation angle change rate between nodes, extracting the regression slope between each node, and normalizing the regression slope by introducing a preset peak slope threshold.

[0027] In the normalization transformation results, when the normalized regression slope exceeds 0.75, it is marked as a high response intensity category; when it is below 0.25, it is marked as a low response intensity category; and the rest are marked as medium response intensity categories.

[0028] The normalized slope and the mean square value of the fitted residuals within the region are used together to construct the response intensity classification model. The mean square value of the fitted residuals is set with an upper limit threshold of 0.1 in the calculation. Data points exceeding the upper limit threshold are removed and do not participate in the classification decision.

[0029] As a further aspect of the present invention, the method further includes step S5:

[0030] S5: Based on the node segments listed in the stiffness response characteristic partitioning and positioning results, and combined with the tension coupling direction and amplitude characteristics reflected in the regionalized pretension coupling relationship map, construct a pretension adaptation relationship group for multiple node segments, integrate the relationship between direction path segments, coupling trends and stiffness characteristics, arrange the target tension setting logic of cable structures in multiple regions, and generate a pretension configuration design suggestion table.

[0031] The pretension configuration design suggestion table includes a list of target tension values, directional path adaptation relationships, and tension coupling and stiffness matching logic.

[0032] As a further aspect of the present invention, the specific steps of S5 are as follows:

[0033] S501: Call the node segments in the stiffness response feature partitioning location result, and retrieve the tension coupling direction information and corresponding coupling amplitude value of the node segments in the regionalized pretension coupling relationship map. Based on the spatial continuity and coupling direction similarity between node segments, establish an initial pairing set. After normalizing the coupling feature parameters of each group of node segments, perform ratio analysis to obtain the pretension adaptation relationship set.

[0034] S502: Call the orientation pairing information of the node segments in the pretension adaptation relationship group, and introduce the corresponding path segment index in the orientation reconstruction layout path segment. Integrate the layout direction, coupling trend and stiffness category label of the node segments. Obtain the three-dimensional tension setting relationship through the ternary combination between path segments, coupling direction and stiffness response.

[0035] S503: Call the three-dimensional tension setting relationship, combine the node segment layout path direction, coupling trend sequence and stiffness classification label, determine the required tension value range of the node segment according to the preset tension target, sort the tension configuration of the node segment by path order, and generate a pre-tension configuration design suggestion table by combining the node position number and the upper and lower limit parameters of the tension value.

[0036] The pre-tensioning design system for flexible photovoltaic support cable structures includes:

[0037] The terrain feature extraction module obtains digital elevation model data of the photovoltaic power station construction area, divides it into equally divided grids, extracts the slope aspect angle parameter value within the grid, and compares the angle difference between the extreme value and the trough value of the slope aspect angle of the combination of three adjacent grids with the set slope aspect jump judgment criteria to determine whether the direction jump condition is met and generates a direction jump area location information table.

[0038] The orientation reconstruction module establishes a main axis sliding deployment window covering the adjacent area based on the orientation transition zone location information table, calls the slope angle parameters of each grid within the window range, performs weighted calculation of orientation concentration, obtains the angle with the highest orientation concentration as the main deployment direction, and generates a continuous angle transition sequence between adjacent sliding windows based on the deployment direction difference, generating orientation reconstruction deployment path segments.

[0039] The tension trend identification module reconstructs the layout path segment based on the direction, collects the initial tension loading value of the cable at the path node and the force change trend of the cable segment, calculates the consistency between the tension change direction and the cable segment length change direction, marks the cable segments with inconsistent deviations as tension offset areas, summarizes the node number and tension change direction, and generates a regionalized pretension coupling relationship map.

[0040] The stiffness difference positioning module calls the regionalized pretension coupling relationship map, collects the cable segment deformation response value and rotation change rate during the loading process, performs trend fitting of deformation response rate and rotation change rate, judges the degree of deviation of trend fitting, classifies the node segments with response differences into stiffness response difference regions, and generates stiffness response feature partitioning positioning results.

[0041] The pretension configuration module, based on the stiffness response characteristic zoning and positioning results, combined with the tension direction characteristics and amplitude change information, filters node pairs with similar tension trend directions, establishes a pretension adaptation relationship group, and generates a pretension configuration design suggestion table by combining the layout path segment, tension trend and stiffness interval information.

[0042] Compared with the prior art, the advantages and positive effects of the present invention are as follows:

[0043] In this invention, by introducing the elevation model slope aspect difference analysis method, the precise identification of terrain direction transition areas is achieved. By constructing a continuous main axis direction sequence, the continuous transition of the layout direction is completed. By collecting the stress trend and deformation response of cable segments between path nodes, tension offset zones and stiffness response difference zones are identified. By establishing pretension coupling relationship and mechanical coordination mechanism between nodes, the regional tension adaptation relationship is reconstructed. In multi-region cable structures, a tension setting logic that matches terrain features, couples mechanical trends, and coordinates stiffness distribution is formed, effectively improving the layout continuity and tension adjustment efficiency of supports under complex terrain, and enhancing the overall coordination and stability of the structure. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a schematic diagram of the steps of the present invention;

[0046] Figure 2 This is a detailed schematic diagram of S1 of the present invention;

[0047] Figure 3 This is a detailed schematic diagram of S2 of the present invention;

[0048] Figure 4 This is a detailed schematic diagram of S3 of the present invention;

[0049] Figure 5 This is a detailed schematic diagram of S4 of the present invention;

[0050] Figure 6 This is a detailed schematic diagram of S5 of the present invention;

[0051] Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0052] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0053] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0054] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0055] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0056] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0057] Please see Figure 1 This invention provides a pre-tension design method for flexible photovoltaic support cable structures, including the following steps:

[0058] S1: Obtain elevation model data of the photovoltaic power station construction area, divide the elevation model into equally divided grids, extract the slope angle parameters of the grids, call the angle difference between the peak and valley values ​​of the slope angle of adjacent grid groups, compare the angle difference with the set slope jump judgment criteria, mark the area that meets the conditions as the direction jump zone, integrate the spatial location and distribution information, and generate a direction jump zone location information table.

[0059] S2: Based on the spatial coordinates of the transition zone in the directional transition zone location information table, establish the main axis sliding layout window of the adjacent area, call the slope angle parameter in the main axis sliding layout window, calculate the weighted concentration of the directional distribution, reconstruct the main layout direction within the window area based on the weighted concentration result, construct a continuous transition direction sequence between adjacent windows, correct the layout path of the directional break, and generate the directional reconstruction layout path segment.

[0060] S3: Based on the path node positions determined by the path segment reconstruction, collect the initial tension loading value of the cable along the path node and the force change trend of the cable segment between adjacent nodes, calculate the consistency between the tension change direction and the cable segment length change, mark the deviated cable segment as the local tension offset area, determine the pretension coupling relationship between nodes in the area, and generate a regionalized pretension coupling relationship map.

[0061] S4: Call the tension offset region marked in the regionalized pretension coupling relationship map, collect the deformation response of the cable segment between nodes during the loading process and the trend of the rotation angle change between adjacent nodes, and identify the differences in regional stiffness response characteristics by fitting the trend of node deformation response rate and rotation angle change rate. Combined with the distribution range, locate the location segment where the tension parameter needs to be adjusted, and generate stiffness response characteristic partitioning location results.

[0062] S5: Based on the node segments listed in the stiffness response characteristic zoning location results, and combined with the tension coupling direction and amplitude characteristics reflected in the regionalized pretension coupling relationship map, construct a pretension adaptation relationship group for multiple node segments, integrate the relationship between direction path segments, coupling trend and stiffness characteristics, arrange the target tension setting logic of cable structure in multiple regions, and generate a pretension configuration design suggestion table.

[0063] The directional transition zone location information table includes the spatial coordinates of the directional transition zone, the distribution of angle differences, and the boundary contour of the transition zone. The directional reconstruction layout path segment includes the layout direction sequence, transition connection nodes, and path segment division parameters. The regionalized pretension coupling relationship map includes the distribution of tension offset zones, node coupling trends, and cable segment tension amplitude directions. The stiffness response characteristic zoning location results include stiffness response difference zones, node deformation trend indicators, and rotation angle change distribution characteristics. The pretension configuration design suggestion table includes a list of target tension values, directional path adaptation relationships, and tension coupling and stiffness matching logic.

[0064] Please see Figure 2 The specific steps of S1 are as follows:

[0065] S101: Obtain elevation model data of the photovoltaic power station construction area, and perform rasterization processing on the elevation model. Divide the entire area into equally divided raster units, extract the slope angle parameters corresponding to the raster units, and obtain the slope angle configuration table.

[0066] A digital elevation model of the area needs to be obtained through terrain data. This process can combine UAV aerial photography results, LiDAR point cloud data, or GNSS measurement data to construct basic elevation data. Then, professional GIS software is used to convert the elevation data into numerical values, forming a continuous elevation surface data model. After the elevation data is constructed, it is converted into a regular raster format for processing. That is, the entire construction area is divided into equal-sized cells, with each raster cell set to 30 meters × 30 meters. The entire area is cut by equal intervals. Each cell represents an elevation measurement point with unique spatial coordinates. The slope change trend is calculated by extracting the center point or the elevation difference around each cell, thereby obtaining the slope aspect angle data. This calculation process is then performed on the raster cells according to the slope aspect to form a complete slope aspect angle dataset. The slope aspect angle values ​​of the cells are summarized according to the raster number order to obtain the slope aspect angle configuration table.

[0067] S102: Call the slope angle value of the target grid cell in the slope angle configuration table, select the slope angle values ​​corresponding to multiple adjacent grid cells, construct an angle sequence based on the adjacent slope angle values, pair the local maxima and minima in the angle sequence, calculate the angle difference, compare the angle difference with the set slope jump judgment criteria, filter the grid cells that meet the criteria of angle difference being greater than the slope jump judgment criteria, and obtain the direction jump judgment index set;

[0068] Select a grid cell as the analysis target, read the slope angle value, and extract the slope angle information of multiple surrounding adjacent grid cells centered on the slope angle value to form an angle set sequence with the target cell as the core. For example, select eight directly adjacent grid cells, extract the corresponding slope angles, and combine the angle values ​​into an ordered sequence. By comparing the trend of angle changes in the sequence, identify the positions of local maxima and minima, that is, find the grid cells where the slope angle value increases or decreases significantly. Then, analyze the angle difference by pairing the maxima and minima one by one, and compare the difference with the preset slope jump judgment criteria. When the angle difference exceeds the set standard threshold, the corresponding grid cell is marked as a direction jump cell. The process is repeated throughout the entire area to filter out grid cells with significant slope jumps. The grid index numbers are collected to form a direction jump judgment index set.

[0069] S103: Based on the raster cell index information recorded in the directional jump determination index set, combined with the geographic spatial coordinates of the raster cells in the elevation model, extract the two-dimensional spatial location attributes and perform numbering and encoding processing, aggregate the spatial distribution information and location information of raster cells that meet the conditions, and generate a directional jump zone location information table.

[0070] In the elevation model, geospatial coordinates are located, and the two-dimensional coordinate information of each grid, such as longitude, latitude, or X and Y coordinate values, is extracted. A unique number is assigned to each grid, and coding rules are set according to the grid's arrangement order in the overall area. For example, the grid is numbered and archived in the format of "region number + row and column index". After completing the spatial identification of the directional change grid, the grid units with change characteristics are aggregated according to their spatial proximity. Geographically contiguous or adjacent change units are grouped into the same block, which comprehensively reflects the spatial areas in the construction area where the slope aspect characteristics change abruptly. This provides a spatial identification basis for structural design such as layout path adjustment, tension analysis, and stress optimization, and generates a table of directional change zone location information.

[0071] Please see Figure 3 The specific steps of S2 are as follows:

[0072] S201: Based on the spatial coordinates of the transition zone recorded in the position information table of the transition zone, establish a window with a fixed range boundary centered on the transition zone grid. The window slides within the two-dimensional area at a preset step size, traversing the transition zone grid to obtain the set of sliding windows on the main axis.

[0073] Within a two-dimensional geographic region, each transition raster cell is selected as the initial center point of the sliding window, constructing a square window of fixed size. The window typically covers raster cells within a certain distance to the left, right, and above the center point. For example, a boundary window of 3 rows and 3 columns is defined with a cell spacing of 30 meters, ensuring that each analysis includes the local terrain slope features of the center and surrounding raster cells. After completing the first window layout, the window slides horizontally in a preset step size of 30 meters until all raster cells in the current row of the transition area are covered, then slides one cell vertically. This process is repeated to traverse the entire transition area. During the process, the center point coordinates, covered raster index range, and sliding path sequence number of each window are recorded. Each generated window retains the initial position information and adjacency relationship during construction, which not only reflects the coverage integrity of the layout process but also provides stable data structure support for slope analysis and direction extraction. Throughout the sliding process, the window construction strategy needs to be dynamically adjusted according to specific terrain conditions. For example, for areas with drastic slope aspect changes, a smaller size and a smaller step size are selected to enhance detection accuracy, forming a main axis sliding layout window set.

[0074] S202: Call the main axis sliding deployment window set, extract the slope angle parameters of the grid cells within the coverage area, construct a weight factor sequence based on the frequency of the slope angle values, multiply the weight factor sequence with the corresponding angle values ​​and sum them, and then perform a ratio operation with the total weight to obtain the weighted concentration value of the directional distribution within the window area, determine the peak value of the weighted concentration value, and obtain the main deployment direction angle.

[0075] All grid cells within the coverage area of ​​each window are extracted, and the corresponding slope angle data is read and statistically analyzed. The frequencies of repeated slope angle values ​​are accumulated to obtain the frequency structure of the slope distribution within the window. The frequency and angle values ​​are combined and processed to extract the importance of each type of slope angle. The importance represents the dominant trend of the angle value appearing in the window and will serve as the core basis for calculating the directional concentration of the window. After obtaining the frequency data of slope angles, the entire angle-frequency structure is weighted and analyzed. The directional characteristics of the local area are reflected through the weight distribution, which can focus on the concentrated distribution of slope in continuous areas. The differences in directional tendencies between adjacent windows are compared. If the directional concentration trend of a certain window is significantly higher than that of the surrounding windows and has a continuous trend, the window can be determined as the representative window of the main deployment direction. The representativeness of the main deployment direction is confirmed by a peak detection mechanism. This operation can be dynamically judged on the basis that the local slope difference does not exceed the set change range, and combined with the change patterns between multiple windows to determine the main deployment direction angle.

[0076] S203: Call the direction angle value of the main axis sliding layout window in the main layout direction angle, arrange them linearly according to the window sliding path order, extract the direction angle values ​​of two adjacent windows and determine whether the direction difference between them exceeds the set direction continuity tolerance value. If it exceeds, perform linear interpolation smoothing on the middle area, construct a continuous direction sequence with smooth transition of direction values, and map the adjusted continuous direction sequence to the original layout window path coordinate system to generate the direction reconstruction layout path segment.

[0077] The direction angle values ​​of the windows are serially arranged according to the movement order of the sliding window on the main axis, forming a continuous sequence representing the change of path direction. Any two adjacent direction angle values ​​in the sequence are compared. If a large abrupt change is found between the two values ​​and exceeds the set continuity tolerance range, it is considered that there is a direction jump phenomenon. In actual processing, the direction jump segment is marked as the position that needs to be adjusted, and the direction angle values ​​before and after the abrupt change point are selected as the start and end points of the interpolation interval. Linear interpolation is performed within the interval to make the originally abrupt and discontinuous direction values ​​transition into a direction sequence with a coherent trend. During the interpolation process, it is ensured that the changes in each direction are smooth and there are no more drastic fluctuations. After the direction adjustment is completed, the newly generated direction sequence is mapped, that is, each adjusted direction angle is re-corresponded to the spatial coordinates in the original sliding window path and the position index is recorded in the overall path to generate the direction reconstruction layout path segment.

[0078] Please see Figure 4 The specific steps of S3 are as follows:

[0079] S301: Based on the direction reconstruction, the path node positions in the path segment are determined, the tension of the cable at the node is measured sequentially along the path node, the cable tension value of the node under the initial loading state is collected, and the force change amplitude sequence of the cable segment between adjacent nodes is extracted to obtain the path tension loading and force change parameter set.

[0080] Each path node corresponds to an actual positioning point on the on-site layout path. When conducting tension tests on cables during actual construction based on node locations, the tension measurement operation must be performed on the cables at each node sequentially according to the node arrangement order. The specific steps include: installing a tension sensing device at the node or using a manual tension meter to read the initial tension. The tension value is recorded as the original force state under the initial loading condition. The tension value of the cable segment between the current node and the adjacent node is recorded. The force change amplitude of each cable segment is calculated by the tension difference between adjacent nodes, forming a sequence of force changes of cable segments in the path. During this process, it is necessary to ensure that the time points of tension measurement are consistent to eliminate time variation errors. At the same time, the tension data is stored uniformly according to the node number and cable segment index. Each set of data includes information such as the initial tension value, measurement time, measurement point number, and cable segment number of the adjacent node, to obtain the path tension loading and force change parameter set.

[0081] S302: Call the path tension loading and force change parameter set, compare the tension change direction and length change direction at the corresponding position one by one, determine whether the angle between the direction vectors is close to zero, calculate the consistency between the tension change direction and length change direction of each cable segment, filter cable segments with a consistency degree lower than the set consistency judgment benchmark value, and obtain the local tension offset cable segment index set.

[0082] The direction of tension change and the direction of physical length change of the cable segment are extracted and constructed as vectors. A one-to-one comparison is then performed. The purpose is to determine whether the direction of force is consistent with the direction of deformation by comparing the angle between the two vectors. In operation, the angle between the vector directions is used to determine whether the angle approaches zero. If the angle is smaller, it indicates that the direction of force on the cable is more consistent with the direction of length change; otherwise, there is a tension deviation. The above judgment process is performed on each cable segment. All cable segments are traversed in the order of their arrangement in the path. The direction angle of each cable segment is recorded and quantified as a consistency value. The consistency value is compared with a set judgment benchmark value. The benchmark value can be set based on the on-site structural layout model or empirical standards. When the consistency value is set to be below a certain threshold, it is considered abnormal. Cable segments that do not meet the judgment conditions are filtered out, and a local tension deviation cable segment index set is obtained.

[0083] S303: Call the local tension offset cable segment index set, retrieve the positional relationship of the start and end nodes in the path nodes, construct a set of node pairs connected by the cable segment, extract the pretension loading value for each node pair, compare the synchronization level of tension values ​​between node pairs, integrate the coupling relationship of node pairs, and generate a regionalized pretension coupling relationship map.

[0084] The system tracks the position index relationship between the starting and ending nodes connected to each abnormal cable segment in the path node set, extracts and constructs a set of node pairs involved in the abnormal cable segment. Each node pair represents the connection structure of a cable segment. In each node pair, the pretension loading values ​​of the two end nodes are extracted, and the tension difference is compared to calculate the tension synchronization level, that is, to determine whether the two nodes exhibit similar tension responses under the same preset conditions. If the difference is large, it indicates that the node coupling of the cable segment is poor. In this operation, the tension synchronization level of the node pairs needs to be uniformly measured, and the node pairs are classified and summarized by region. At the same time, additional attribute relationships such as whether there is structural cross coupling between nodes, whether they are in the same path segment or branch segment are integrated to construct the coupling data structure between each node pair. The pretension coupling relationship between each node in the entire region is expressed in the form of a graph. The graph can realize the visual identification of the tension inconsistency risk segment in the cable network and provide a spatial partition reference for tension optimization and adjustment, generating a regional pretension coupling relationship graph.

[0085] Please see Figure 5 The specific steps of S4 are as follows:

[0086] S401: Call the marked tension offset region in the regionalized pretension coupling relationship map, deploy strain monitoring equipment between the path nodes associated with the tension offset region, collect the deformation of multiple cable segments between nodes during the loading process, synchronously record the rotation angle change amplitude between each pair of adjacent nodes, and obtain the joint sequence of loading response and rotation angle change.

[0087] Extract the path node numbers and their interconnections within the region. Install strain monitoring equipment along the layout path formed by the nodes in the actual physical layout area. The strain monitoring equipment must cover the endpoints of each cable and record the deformation data caused by the change in node tension during loading. Ensure that the collected deformation data covers cable segments with various directions, lengths, and material characteristics in the path. For each pair of adjacent path nodes, the angle change amplitude generated under loading must be monitored synchronously through the angle measurement module. This determines the degree of deflection of the connection between nodes relative to the initial configuration in three-dimensional space. The angle information is acquired in real time through the angle sensor and recorded synchronously with the strain monitoring data. Data points are organized in units of node pairs. Each set of data points in the sequence includes fields such as the initial path node pair number, cable segment deformation, loading stage timestamp, and node pair angle change amplitude, forming the data basis for stiffness analysis. The joint sequence must cover the cable segment connection nodes within the entire tension offset region to obtain the joint sequence of loading response and angle change.

[0088] S402: Call each set of data points in the joint sequence of loading response and rotation change, use the node deformation response to perform regression fitting on the rotation change rate between nodes, normalize the slope of the fitted curve in the tension offset region, calculate the mean square value of the fitting residual in the region, classify the stiffness response intensity category according to the difference in slope and residual distribution, and obtain the regional stiffness response classification label set.

[0089] Using the deformation response between nodes as the independent variable, a dependent variable regression fitting was performed on the rate of change of the angle between nodes. During the regression analysis, a fitting model of deformation and angle change was established for each cable segment corresponding to each pair of nodes, resulting in a curve describing the correlation between deformation and angle. The slope of the curve represents the trend of regional stiffness change. After obtaining the fitting curves of the cable segments, the slopes of each curve were normalized to establish a unified evaluation standard for the entire region. At the same time, the residuals of each fitting curve were calculated, and the mean square value of the fitting residuals for each segment was obtained to measure the error of the fitting model. The normalized slope and residual values ​​formed a set of stiffness response characteristic parameters for each cable segment. Then, classification was performed based on the parameters. The slope-residual combination was divided into multiple response intensity categories, such as high response, medium response, and low response, by clustering algorithms or interval partitioning methods. A regional stiffness response classification identifier set was established, and each cable segment and its corresponding node pair were assigned to a specific response category. The classification results provide support for subsequent structural safety assessment and cable relocation optimization.

[0090] S403: Call the identifiers identified as deviations in response intensity from the regional stiffness response classification identifier set, extract the corresponding path segment spatial coordinate range, match the position with the node information in the regionalized pretension coupling relationship map, filter the path node segments with disordered coupling relationship and abnormal stiffness response characteristics, map the cable segment number with spatial position, and generate stiffness response feature partitioning location results.

[0091] The actual spatial location range of the node in the path layout is located, and the spatial coordinates of the path segment where the node is located are extracted. By comparing and matching with the node information in the regionalized pretension coupling relationship map, it is determined whether there are both coupling relationship anomalies and stiffness response deviations at the location. If there are tension coupling disorders between nodes in a certain path segment and the segment belongs to the low stiffness response or high residual error category, the path segment is identified as a structural anomaly area. The associated cable segment numbers in the area are extracted, and the spatial position is transformed and labeled according to the coordinate system of the layout path. Each result item includes cable segment number, start and end node number, spatial coordinate range, and response classification label in the map. The positioning results provide clear data support and target area positioning basis for local structural strengthening, pretension optimization, and equipment maintenance in engineering design, and generate stiffness response characteristic zoning positioning results.

[0092] Please see Figure 6 The specific steps of S5 are as follows:

[0093] S501: Call the node segments in the stiffness response feature partitioning location results, and retrieve the tension coupling direction information and corresponding coupling amplitude value of the node segments in the regionalized pretension coupling relationship map. Based on the spatial continuity and coupling direction similarity between node segments, establish an initial pairing set. After normalizing the coupling characteristic parameters of each group of node segments, perform ratio analysis to obtain the pretension adaptation relationship set.

[0094] The tension coupling direction and amplitude values ​​of each node segment in the regionalized pretension coupling relationship map are retrieved one by one. The direction information represents the spatial orientation of tension transmission between nodes, while the amplitude value reflects the tightness of node coupling and force response capability. After extracting the basic data, the spatial continuity between each node segment is judged to confirm whether there is a closely adjacent arrangement relationship on the physical path. At the same time, the angle difference between the tension coupling direction vectors is analyzed to determine whether it is within the allowable error range and to judge the direction similarity. When two node segments satisfy both spatial continuity and direction similarity, an initial pairing relationship is constructed. The tension coupling parameters of the paired node segments, such as coupling direction angle and coupling amplitude, are extracted. The parameters are normalized to unify the data units, and then a ratio analysis operation is performed to compare the normalized parameters between adjacent paired node segments to identify the tension response change amplitude and the degree of direction adaptation. By screening out node segment pairings with similar coupling parameter characteristics, a pretension adaptation relationship set is obtained.

[0095] S502: Call the orientation pairing information of the node segments in the pretension adaptation relationship group, and introduce the corresponding path segment index in the orientation reconstruction layout path segment. Integrate the layout direction, coupling trend and stiffness category label of the node segments. Through the ternary combination between path segments, coupling direction and stiffness response, obtain the three-dimensional tension setting relationship.

[0096] The pairing information of each node segment is structurally integrated, with a focus on introducing the path segment index corresponding to the path segment in the directional reconstruction layout. The physical layout direction of the node segment is integrated as a key attribute with the coupling direction and coupling trend. The consistency between the path layout direction and the tension coupling direction of the node segments is analyzed, and the corresponding stiffness response classification label is superimposed. The relationship structure gives each node segment a multi-dimensional description of spatial, mechanical response and coupling behavior, so that the tension setting can be refined according to the changing trend of the layout direction, the directional relationship of tension transmission between nodes, and the stiffness level of the node structure. The ternary combination model can reflect the complex characteristics of tension configuration requirements, provide multi-angle judgment basis in the tension setting strategy formulation process, and can provide special setting strategies for high tension coupling and low stiffness areas to obtain three-dimensional tension setting relationships.

[0097] S503: Call the three-dimensional tension setting relationship, combine the node segment layout path direction, coupling trend sequence and stiffness classification label, determine the required tension value range of the node segment according to the preset tension target, sort the tension configuration of the node segment by path order, and generate a pre-tension configuration design suggestion table by combining the node position number and the upper and lower limit parameters of the tension value.

[0098] Based on the layout path direction, tension coupling trend, and stiffness response category of each node segment, and in accordance with the established tension setting standards, the tension range to be configured for each node segment is determined. In specific operations, the tension target is divided according to the continuity of the path direction and the consistency of the coupling direction. For node segments with high consistency and high response stiffness level, the upper limit of the tension value is set close to the average target tension value of the region. For node segments with significant directional deviation or in the low stiffness response region, the upper limit of the tension configuration is appropriately lowered to ensure the overall structural safety and balance. After determining the upper and lower limit parameters of the tension value of the node segments, they are sorted according to the arrangement order of the node segments in the path. Combining the characteristic parameters of each node segment's number, spatial position, and three-dimensional tension setting relationship, the number, layout path direction, coupling direction information, stiffness response label, and recommended tension value range of each node segment are recorded. This provides a systematic and operable tension setting basis for actual construction or tension control operations, and generates a pretensioning configuration design suggestion table.

[0099] Please see Figure 7 A pre-tensioning design system for flexible photovoltaic support cable structures, including:

[0100] The terrain feature extraction module obtains digital elevation model data of the photovoltaic power station construction area, divides it into equally divided grids, extracts the slope aspect angle parameter value within the grid, and compares the angle difference between the extreme value and the trough value of the slope aspect angle of the combination of three adjacent grids with the set slope aspect jump judgment criteria to determine whether the direction jump condition is met and generates a direction jump area location information table.

[0101] The orientation reconstruction module establishes a main axis sliding deployment window covering the adjacent area based on the orientation transition zone location information table, calls the slope angle parameters of each grid within the window range, performs weighted calculation of orientation concentration, obtains the angle with the highest orientation concentration as the main deployment direction, and generates a continuous angle transition sequence between adjacent sliding windows based on the deployment direction difference, generating orientation reconstruction deployment path segments.

[0102] The tension trend identification module reconstructs the path segments based on the direction, collects the initial tension loading value of the cable at the path node and the force change trend of the cable segment, calculates the consistency between the tension change direction and the cable segment length change direction, marks the cable segments with inconsistent deviations as tension offset areas, summarizes the node number and tension change direction, and generates a regionalized pretension coupling relationship map.

[0103] The stiffness difference positioning module calls the regionalized pretension coupling relationship map, collects the cable segment deformation response value and rotation change rate during the loading process, performs trend fitting of deformation response rate and rotation change rate, judges the degree of deviation of trend fitting, classifies the node segments with response differences into stiffness response difference regions, and generates stiffness response feature partitioning positioning results.

[0104] The pretension configuration module selects node pairs with similar tension trend directions based on the stiffness response characteristics and the location results, combined with the tension direction characteristics and amplitude change information, establishes a pretension adaptation relationship group, and generates a pretension configuration design suggestion table by combining the layout path segment, tension trend and stiffness interval information.

[0105] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A pre-tension design method for flexible photovoltaic support cable structures, characterized in that, Includes the following steps: S1: Obtain elevation model data of the photovoltaic power station construction area. After dividing the elevation model into equally divided grids, extract the slope angle parameters of the grids. Call the angle difference between the peak and trough values ​​of the slope angle of adjacent grid groups, compare the angle difference with the set slope jump judgment criteria, and generate a table of directional jump zone location information. The specific steps are as follows: S101: Obtain elevation model data of the photovoltaic power station construction area, and perform rasterization processing on the elevation model. Divide the entire area into equally divided raster units, extract the slope angle parameters corresponding to the raster units, and obtain the slope angle configuration table. S102: Call the slope angle value of the target grid cell in the slope angle configuration table, select the slope angle values ​​corresponding to multiple adjacent grid cells, construct an angle sequence based on the adjacent slope angle values, pair the local maxima and minima in the angle sequence, calculate the angle difference, compare the angle difference with the set slope jump judgment criteria, filter the grid cells that meet the criteria of angle difference being greater than the slope jump judgment criteria, and obtain the direction jump judgment index set; S103: Based on the grid cell index information recorded in the directional jump determination index set, combined with the geographic spatial coordinates of the grid cells in the elevation model, extract the two-dimensional spatial location attributes and perform numbering and encoding processing, aggregate the spatial distribution information and location information of grid cells that meet the conditions, and generate a directional jump zone location information table. S2: Based on the spatial coordinates of the transition zone in the position information table of the direction transition zone, establish the main axis sliding layout window of the adjacent area, calculate the weighted concentration of the direction distribution, and generate the direction reconstruction layout path segment. S3: Based on the reconstructed path segment, determine the path node position, collect the initial tension loading value of the cable along the path node and the force change trend of the cable segment between adjacent nodes, calculate the consistency between the tension change direction and the cable segment length change, and generate a regionalized pretension coupling relationship map. S4: Call the tension offset region marked in the regionalized pretension coupling relationship map, collect the deformation response of the cable segments between nodes during the loading process and the trend of the rotation angle change between adjacent nodes, identify the differences in the regional stiffness response characteristics, and generate stiffness response characteristic zoning location results.

2. The pre-tension design method for flexible photovoltaic support cable structure according to claim 1, characterized in that, The directional transition zone location information table includes the spatial coordinates of the directional transition zone, the distribution of angle differences, and the boundary contour of the transition zone. The directional reconstruction layout path segment includes the layout direction sequence, transition connection nodes, and path segment division parameters. The regionalized pretension coupling relationship map includes the distribution of tension offset zone, node coupling trend, and cable segment tension amplitude direction. The stiffness response characteristic zoning location results include stiffness response difference segments, node deformation trend indicators, and rotation angle change distribution characteristics.

3. The pre-tension design method for flexible photovoltaic support cable structure according to claim 1, characterized in that, The specific steps of S2 are as follows: S201: Based on the spatial coordinates of the transition zone recorded in the position information table of the transition zone, establish a window with a fixed range boundary centered on the transition zone grid. The window slides within the two-dimensional area at a preset step size, traversing the transition zone grid to obtain the set of sliding windows on the main axis. S202: Call the main axis sliding layout window set, extract the slope angle parameters of the grid cells within the coverage area, construct a weight factor sequence based on the frequency of the slope angle values, multiply the weight factor sequence with the corresponding angle values ​​and sum them, and perform a ratio operation with the total weight to obtain the weighted concentration value of the directional distribution within the window area, determine the peak value of the weighted concentration value, and obtain the main layout direction angle. S203: Call the direction angle value of the main axis sliding layout window in the main layout direction angle, arrange it linearly according to the window sliding path order, extract the direction angle values ​​of two adjacent windows and determine whether the direction difference between them exceeds the set direction continuity tolerance value. If it exceeds, perform linear interpolation smoothing on the middle area to construct a continuous direction sequence with smooth transition of direction values, and map the adjusted continuous direction sequence to the original layout window path coordinate system to generate the direction reconstruction layout path segment.

4. The pre-tension design method for flexible photovoltaic support cable structure according to claim 3, characterized in that, The specific steps for S3 are as follows: S301: Based on the direction, reconstruct the path node positions in the path segment, measure the tension of the cable at the node in sequence along the path node, collect the cable tension value of the node in the initial loading state, and extract the force change amplitude sequence of the cable segment between adjacent nodes to obtain the path tension loading and force change parameter set. S302: Call the path tension loading and force change parameter set, compare the tension change direction and length change direction at the corresponding position one by one, determine whether the angle between the direction vectors is close to zero, calculate the consistency between the tension change direction and length change direction of each cable segment, filter cable segments with a consistency degree lower than the set consistency judgment benchmark value, and obtain the local tension offset cable segment index set. S303: Call the local tension offset cable segment index set, retrieve the positional relationship of the start and end nodes in the path nodes, construct a set of node pairs connected by the cable segment, extract the pretension loading value for each node pair, compare the synchronization level of tension values ​​between node pairs, integrate the coupling relationship of node pairs, and generate a regionalized pretension coupling relationship map.

5. The pre-tension design method for flexible photovoltaic support cable structure according to claim 4, characterized in that, The specific steps of S4 are as follows: S401: Call the marked tension offset region in the regionalized pretension coupling relationship map, deploy strain monitoring devices between the path nodes associated with the tension offset region, collect the deformation of multiple cable segments between nodes during the loading process, synchronously record the rotation angle change amplitude between each pair of adjacent nodes, and obtain the joint sequence of loading response and rotation angle change. S402: Call each set of data points in the combined sequence of loading response and rotation angle change, use the node deformation response amount to perform regression fitting on the rotation angle change rate between nodes, normalize the slope of the fitted curve in the tension offset region, calculate the mean square value of the fitted residual in the region, classify the stiffness response intensity category according to the difference in slope and residual distribution, and obtain the regional stiffness response classification identifier set. S403: Call the identifiers identified as deviations in response intensity from the regional stiffness response classification identifier set, extract the corresponding path segment spatial coordinate range, match the position with the node information in the regionalized pretension coupling relationship map, filter the path node segments with disordered coupling relationships and abnormal stiffness response characteristics, perform cable segment numbering and spatial position mapping, and generate stiffness response feature partitioning and positioning results.

6. The pre-tension design method for flexible photovoltaic support cable structure according to claim 5, characterized in that, The process of normalizing the slope of the fitted curve within the tension offset region is as follows: calling each set of data points in the joint sequence of loading response and rotation angle change, performing multiple linear regression on the node deformation response based on the rotation angle change rate between nodes, extracting the regression slope between each node, and normalizing the regression slope by introducing a preset peak slope threshold. In the normalization transformation results, when the normalized regression slope exceeds 0.75, it is marked as a high response intensity category; when it is below 0.25, it is marked as a low response intensity category; and the rest are marked as medium response intensity categories. The normalized regression slope and the mean square value of the fitted residuals within the region are used together to construct the response intensity classification model. The mean square value of the fitted residuals is set with an upper limit threshold of 0.1 in the calculation. Data points exceeding the upper limit threshold are removed and do not participate in the classification judgment.

7. The pretension design method for flexible photovoltaic support cable structure according to claim 1, characterized in that, The method further includes step S5: S5: Based on the node segments listed in the stiffness response characteristic partitioning and positioning results, and combined with the tension coupling direction and amplitude characteristics reflected in the regionalized pretension coupling relationship map, construct a pretension adaptation relationship group for multiple node segments, integrate the relationship between direction path segments, coupling trends and stiffness characteristics, arrange the target tension setting logic of cable structures in multiple regions, and generate a pretension configuration design suggestion table. The pretension configuration design suggestion table includes a list of target tension values, directional path adaptation relationships, and tension coupling and stiffness matching logic.

8. The pre-tension design method for flexible photovoltaic support cable structure according to claim 7, characterized in that, The specific steps of S5 are as follows: S501: Call the node segments in the stiffness response feature partitioning location result, and retrieve the tension coupling direction information and corresponding coupling amplitude value of the node segments in the regionalized pretension coupling relationship map. Based on the spatial continuity and coupling direction similarity between node segments, establish an initial pairing set. After normalizing the coupling feature parameters of each group of node segments, perform ratio analysis to obtain the pretension adaptation relationship set. S502: Call the orientation pairing information of the node segments in the pretension adaptation relationship group, and introduce the corresponding path segment index in the orientation reconstruction layout path segment. Integrate the layout direction, coupling trend and stiffness category label of the node segments. Obtain the three-dimensional tension setting relationship through the ternary combination between path segments, coupling direction and stiffness response. S503: Call the three-dimensional tension setting relationship, combine the node segment layout path direction, coupling trend sequence and stiffness classification label, determine the required tension value range of the node segment according to the preset tension target, sort the tension configuration of the node segment by path order, and generate a pre-tension configuration design suggestion table by combining the node position number and the upper and lower limit parameters of the tension value.

9. A pre-tensioning design system for flexible photovoltaic support cable structures, characterized in that, The system is used to implement the pre-tension design method for the flexible photovoltaic support cable structure according to any one of claims 1-8, and the system includes: The terrain feature extraction module obtains digital elevation model data of the photovoltaic power station construction area, divides it into equally divided grids, extracts the slope aspect angle parameter value within the grid, and compares the angle difference between the extreme value and the trough value of the slope aspect angle of the combination of three adjacent grids with the set slope aspect jump judgment criteria to determine whether the direction jump condition is met and generates a direction jump area location information table. Obtain elevation model data of the photovoltaic power station construction area, and perform rasterization processing on the elevation model. Divide the entire area into equally divided raster units, extract the slope angle parameters corresponding to the raster units, and obtain the slope angle configuration table. The slope angle value of the target grid cell in the slope angle configuration table is called, and the slope angle values ​​corresponding to multiple adjacent grid cells are selected. An angle sequence is constructed based on the adjacent slope angle values. The local maxima and minima in the angle sequence are paired up and the angle difference is calculated. The angle difference is then compared with the set slope jump judgment criteria. Grid cells that meet the criteria of angle difference being greater than the slope jump judgment criteria are selected to obtain the direction jump judgment index set. Based on the raster cell index information recorded in the directional jump determination index set, combined with the geographic spatial coordinates of the raster cells in the elevation model, the two-dimensional spatial location attributes are extracted and numbered and encoded. The spatial distribution information and location information of the raster cells that meet the conditions are aggregated to generate a directional jump zone location information table. The orientation reconstruction module establishes a main axis sliding deployment window covering the adjacent area based on the orientation transition zone location information table, calls the slope angle parameters of each grid within the window range, performs weighted calculation of orientation concentration, obtains the angle with the highest orientation concentration as the main deployment direction, and generates a continuous angle transition sequence between adjacent sliding windows based on the deployment direction difference, generating orientation reconstruction deployment path segments. The tension trend identification module reconstructs the layout path segment based on the direction, collects the initial tension loading value of the cable at the path node and the force change trend of the cable segment, calculates the consistency between the tension change direction and the cable segment length change direction, marks the cable segments with inconsistent deviations as tension offset areas, summarizes the node number and tension change direction, and generates a regionalized pretension coupling relationship map. The stiffness difference positioning module calls the regionalized pretension coupling relationship map, collects the cable segment deformation response value and rotation change rate during the loading process, performs trend fitting of deformation response rate and rotation change rate, judges the degree of deviation of trend fitting, classifies the node segments with response differences into stiffness response difference regions, and generates stiffness response feature partitioning positioning results. The pretension configuration module, based on the stiffness response characteristic zoning and positioning results, combined with the tension direction characteristics and amplitude change information, filters node pairs with similar tension trend directions, establishes a pretension adaptation relationship group, and generates a pretension configuration design suggestion table by combining the layout path segment, tension trend and stiffness interval information.

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