Precise fault location analysis method for ultra-high voltage transmission corridor considering terrain influence

Abstract

This invention discloses a method for accurate fault location analysis in ultra-high voltage (UHV) transmission corridors that considers terrain influence, relating to the field of transmission fault location technology. The method includes the following steps: acquiring the transient spatial situation of the transmission corridor's elevation difference, generating a terrain-coupled temporal chain, and performing wavefront phase reconstruction and shaping to form a layered propagation coherent trajectory; based on the layered propagation coherent trajectory, performing complex frequency domain fiberization separation and distortion boundary compression of the coherent trajectory to obtain a terrain-sensitive fault projection domain; generating a terrain-constrained fault location zone by performing multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the terrain-sensitive fault projection domain; and driving the spatial electrical dual-domain inversion anchoring and tower topology projection collaborative convergence based on the terrain-constrained fault location zone. This application solves the problems of insufficient adaptability to terrain disturbances and large location offsets in traditional transmission corridor fault location by using terrain-coupled propagation trajectory reconstruction and spatial electrical dual-domain collaborative inversion.

Description

Technical Field

[0001] This invention relates to the field of power transmission fault location technology, and more specifically, to a method for accurate fault location analysis in ultra-high voltage power transmission corridors that takes into account the influence of terrain. Background Technology

[0002] As the coverage of ultra-high voltage (UHV) and extra-high voltage (UHV) transmission corridors continues to expand, the number of transmission lines crossing complex terrain areas such as mountains, canyons, and steep slopes is increasing. The transient wavefront path, spatial propagation rhythm, and electrical transition states during fault propagation are easily affected by the coupling effects of terrain undulations, tower distribution, and changes in spatial topology, resulting in complex characteristics such as multi-scale diffusion, path reversal, and phase distortion during fault signal propagation. Simultaneously, there are differences in propagation delay, spatial refraction offset, and dynamic changes in the propagation link between towers in different terrain regions. Furthermore, under complex terrain conditions, the transient fault signal exhibits phenomena such as interlacing of propagation rhythms, path mapping offsets, and cross-zone propagation coupling in the spatial and electrical domains, making fault location prone to problems such as location interval drift, propagation trajectory breakage, and misjudgment across towers, further increasing the difficulty of accurate fault location and dynamic inversion analysis in UHV and UHV transmission corridors. Therefore, how to achieve unified modeling of fault propagation trajectories under complex terrain conditions, collaborative correlation of propagation relationships in both spatial and electrical domains, and dynamic convergence analysis of multi-scale propagation paths have become urgent technical problems to be solved in the field of accurate fault location in UHV and UHV transmission corridors.

[0003] Traditional methods are difficult to characterize the spatial electrical coupling relationship of fault propagation under the influence of terrain, and are prone to path deviation and section misjudgment during the positioning process.

[0004] To address the above problems, this invention proposes a solution. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide a method for accurate fault location analysis of ultra-high voltage transmission corridors that takes into account the influence of terrain. By reconstructing the terrain-coupled propagation trajectory and performing a dual-domain spatial-electrical collaborative inversion, the method solves the problems of insufficient adaptability to terrain disturbances and large location offset in traditional transmission corridor fault location.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A method for precise fault location analysis in ultra-high voltage (UHV) transmission corridors considering terrain influence includes: acquiring the transient spatial situation of the transmission corridor's elevation difference, generating a terrain-coupled time series chain, and performing wavefront phase reconstruction and shaping to form a layered propagation coherent trajectory; based on the layered propagation coherent trajectory, performing complex frequency domain fiberization separation and distortion boundary compression of the coherent trajectory to obtain a terrain-sensitive fault projection domain; generating a terrain-constrained fault location zone by performing multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the terrain-sensitive fault projection domain; and driving the coordinated convergence of spatial electrical dual-domain inversion anchoring and tower topology projection based on the terrain-constrained fault location zone.

[0008] In a preferred technical solution, the process of acquiring the transient spatial situation of the transmission corridor's elevation difference, generating a terrain-coupled temporal chain, and performing wavefront phase reconstruction and shaping to form a layered propagation coherent trajectory is as follows: The transient spatial situation of the transmission corridor's elevation difference is acquired, and cross-terrain conformal integration is performed on discrete elevation abrupt changes and transient electrical responses to generate a terrain-coupled temporal chain; wavefront phase folding and migration are performed on the terrain-coupled temporal chain cluster to generate a layered propagation coherent network; complex propagation fiber stripping is performed based on the layered propagation coherent network to generate a continuous terrain fiber field; distortion boundary collapse is performed on the continuous terrain fiber field to generate a dominant propagation potential ridge; terrain-embedded phase migration is performed based on the dominant propagation potential ridge to generate a spatial phase extension trajectory; topological chaining is performed on the spatial phase extension trajectory to generate a layered propagation coherent chain network; and dominant wavefront ridge condensation is performed based on the layered propagation coherent chain network to output a layered propagation coherent trajectory.

[0009] In a preferred embodiment, the process of performing distortion boundary collapse on the continuous topographic fiber field to generate a dominant propagation potential ridge is as follows: The propagation fibers in the continuous topographic fiber field are punctured into nodes, and distortion boundary segments are identified based on abrupt elevation changes, forming a cluster of distortion boundary nodes. Based on this cluster, a topographic abrupt adsorption zone unit is constructed, and continuous attachment and reconnection are performed on the fiber paths across the adsorption zone to obtain a boundary-converging fiber aggregate. The propagation direction field is solved on the boundary-converging fiber aggregate to generate a directionally consistent fiber stream. The propagation energy level is mapped and layered on the directionally consistent fiber stream to generate an energy level-converging propagation skeleton. Local wavefront resonance screening is performed on the energy level-converging propagation skeleton to generate a phase resonance aggregation domain. Topological connectivity is performed on the phase resonance aggregation domain to form a continuous main propagation link. The main propagation ridge is condensed on the continuous main propagation link to output the dominant propagation potential ridge.

[0010] In a preferred embodiment, the step of performing complex frequency domain fiber separation and distortion boundary compression of coherent trajectories based on hierarchical propagation coherent trajectories to obtain a terrain-sensitive fault projection domain is as follows: Based on the propagation chain segment data in the hierarchical propagation coherent trajectories, a coherent trajectory topological coupling chain cluster is formed; based on the coherent trajectory topological coupling chain cluster, a complex frequency domain fractal expansion is performed to generate a complex frequency fractal propagation field; phase fiber decoupling and stripping are performed on the complex frequency fractal propagation field, and chain segment reconstruction disassembly and reassembly are performed on the interleaved propagation regions to form a hierarchical propagation fiber core cluster; distortion boundary energy embedding and compression are performed on the hierarchical propagation fiber core cluster, and energy attachment migration is performed on the propagation fibers across the constraint zone to obtain a boundary cohesive fiber energy domain; by performing propagation direction manifold unification and integration on the boundary cohesive fiber energy domain, a manifold-unified propagation skeleton is generated; complex frequency resonance residence aggregation is performed on the manifold-unified propagation skeleton to form a complex frequency residence propagation domain; distortion boundary collapse and connection are performed on the complex frequency residence propagation domain to form a terrain-sensitive fault projection domain.

[0011] In a preferred embodiment, the process of performing distortion boundary energy chimerism compression on the layered propagating fiber clusters and energy attachment migration on the cross-constraint zone propagating fibers to obtain the boundary cohesive fiber energy domain is as follows: The layered propagating fiber clusters are spatially expanded segment by segment to form a boundary distortion-related chain sequence structure; topological folding energy convergence is performed on the boundary distortion-related chain sequence structure to form a boundary folded energy fiber skeleton chain; topological backfilling chimerism reconstruction is performed on the boundary folded energy fiber skeleton chain to obtain a chimerism skeleton structure; cross-constraint zone energy guidance mapping is performed on the chimerism skeleton structure to form an energy attachment migration chain system; beam-like re-aggregation is performed on the energy attachment migration chain system to form a cross-constraint zone energy convergence chain network; multi-domain coupling compression is performed on the cross-constraint zone energy convergence chain network to generate a single topological extension structure; and global state energy principal axis extraction and cross-layer path convergence are performed on the single topological extension structure to output the boundary cohesive fiber energy domain.

[0012] In a preferred embodiment, the process of performing complex frequency resonance dwelling aggregation on the manifold consistent propagation skeleton to form a complex frequency dwelling propagation domain is as follows: The manifold consistent propagation skeleton is sequentially encoded segment by segment to construct a basic propagation chain sequence structure; dwelling window coupling is performed on the basic propagation chain sequence structure to construct a sliding dwelling analysis unit, resulting in a dwelling consistent chain cluster unit; based on the dwelling consistent chain cluster unit, complex frequency potential energy valley mapping is performed to form a complex frequency resonance aggregation bundle; a set of asynchronous chain segments is generated by performing topological entropy stabilization sieving on the complex frequency resonance aggregation bundle; phase dissipation suppression and delay reattachment are performed on the set of asynchronous chain segments to obtain a phase attenuation redistribution chain system structure; multi-domain coherent reconstruction fusion is performed on the complex frequency resonance aggregation bundle and the phase attenuation redistribution chain system structure to form a high-consistency propagation domain skeleton; based on the high-consistency propagation domain skeleton, complex frequency dwelling field renormalization is performed to output the complex frequency dwelling propagation domain.

[0013] In a preferred technical solution, the step of generating a terrain-constrained fault location zone by performing multi-scale wavefront residence decomposition and spatial fracture reconstruction on the terrain-sensitive fault projection domain is as follows: Based on the terrain-sensitive fault projection domain, topological resampling mapping is performed to form a continuous topological residence sequence structure; multi-scale wavefront residence decoupling decomposition is performed on the continuous topological residence sequence structure to reconstruct residence segments at different propagation scales into a set of hierarchical residence units; phase-driven topological fracture identification is performed on the set of hierarchical residence units to form a connectable fracture chain group structure; terrain coupling fracture reconstruction is performed on the connectable fracture chain group structure to form a reconstructed continuous chain cluster unit; multi-frequency residence uniform aggregation is performed on the reconstructed continuous chain cluster unit to form a convergent bundle structure; fracture-compensated spatial reconstruction is performed on the convergent bundle structure to obtain a continuous connectable chain cluster structure; terrain constraint mapping back is performed on the continuous connectable chain cluster structure to form a terrain-constrained propagation zone; and the terrain-constrained fault location zone is output by performing boundary convergence screening on the terrain-constrained propagation zone.

[0014] In a preferred embodiment, the multi-scale wavefront residence decoupling decomposition of the continuous topological residence sequence structure is performed to reconstruct residence segments at different propagation scales into a hierarchical residence unit set, specifically as follows: Based on the continuous topological residence sequence structure, a topological adjacency graph representation is constructed to form an initial graph-based residence structure; energy level-driven path backflow reconstruction is performed on the initial graph-based residence structure to obtain energy level transition segment cluster units; phase-spectral flow nested mapping reconstruction is performed on the energy level transition segment cluster units to generate a spectral flow nested residence cluster structure; residence level hierarchical fragmentation is performed on the spectral flow nested residence cluster structure to form a fine-grained residence segment set; cross-cluster rhythm fusion is performed on the fine-grained residence segment set to obtain a spectral flow nested residence cluster structure; path perturbation backflow repair is performed on the spectral flow nested residence cluster structure to generate a spectral flow backflow reconstructed residence chain structure; cross-spectral domain phase-locked reconstruction is performed on the spectral flow backflow reconstructed residence chain structure to output a cross-scale phase-locked residence chain structure.

[0015] In a preferred technical solution, the step of driving the spatial electrical dual-domain inversion anchoring and tower topology projection to converge collaboratively based on the terrain-constrained fault location zone is as follows: A spatial-electrical dual-track embedded sequence is formed based on the terrain-constrained fault location zone; topological segmentation and gap marking are performed on the spatial-electrical dual-track embedded sequence to form an initial inversion anchoring skeleton; electrical-driven spatial backflow traction is performed on the initial inversion anchoring skeleton, and the spatial trajectory is reversed and written back along the tower sequence direction to form a cycloidal continuation chain; spatial electrical dual-domain interleaving and locking are performed on the cycloidal continuation chain to obtain an interleaved locking chain; path compression and shaping driven by the topological energy field are performed on the interleaved locking chain to generate a single-axis through-chain structure; cross-domain phase nesting fusion is performed on the single-axis through-chain structure to obtain a nested fusion chain structure; and topological axial reconstruction output is performed on the nested fusion chain structure.

[0016] In a preferred technical solution, the process of performing spatial electrical dual-domain interleaving locking on the rotary splicing chain to obtain an interleaved locking chain is as follows: Based on the rotary splicing chain, tower topology reconstruction pre-organization is performed to form a dual-domain basic interlocking sequence structure; spatiotemporal dual-index grid mapping is performed on the dual-domain basic interlocking sequence structure to form an interleaving locking point distribution chain; path barrier-driven cross-tower blocking reconstruction is performed according to the interleaving locking point distribution chain to generate a potential flow blocking re-attachment chain; spatial electrical interleaving locking compression is performed based on the potential flow blocking re-attachment chain to obtain a locking node unit chain; phase folding dual-domain nesting is performed on the locking node unit chain to form a folded constraint nested chain; cross-domain topology chain solidification is performed on the folded constraint nested chain to obtain a cross-domain topology chain solidification result; and three-domain collaborative locking shaping is performed according to the cross-domain topology chain solidification result to output a spatial electrical dual-domain stable interleaving locking chain.

[0017] The technical effects and advantages of the present invention regarding a method for precise fault location analysis in ultra-high voltage transmission corridors that takes into account terrain influences are as follows:

[0018] 1. This invention acquires the transient spatial situation of the elevation difference in the transmission corridor and generates a terrain-coupled time-series chain. Based on this, wavefront phase reconstruction and shaping are performed to form a hierarchical propagation coherent trajectory. This transforms the originally dispersed elevation disturbance information into a propagation trajectory expression with a hierarchical structure, further enhancing the phase continuity expression capability during propagation. This effectively improves the structured expression capability of transient spatial situation under complex terrain conditions, significantly improving the stability of subsequent fault propagation path characterization and the accuracy of spatial correlation analysis. Simultaneously, based on the hierarchical propagation coherent trajectory, coherent trajectory complex frequency domain fiber separation and distortion boundary compression are performed. By fiber decomposing different frequency domain components and compressing and constraining the boundary distortion region, the abnormal diffusion and boundary ambiguity phenomena in the propagation trajectory are constrained and converged. This effectively reduces the structural aliasing degree of complex propagation signals and significantly improves the boundary clarity and spatial expression consistency of the terrain-sensitive fault projection domain.

[0019] 2. This invention performs multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the projection domain of terrain-sensitive faults, reorganizing the propagation dwelling characteristics at different scales into a hierarchical segment structure. Furthermore, it performs topological reconstruction on the spatial fracture locations, thereby forming fault location zones with terrain-constrained features. This transforms the original continuous propagation domain into a partitionable and analyzable location structure, effectively enhancing the distinguishability of fault spatial distribution under complex terrain and significantly improving the aggregation accuracy and spatial boundary identification capability of fault location segments. Simultaneously, based on the terrain-constrained fault location zones, it drives the coordinated convergence of spatial electrical dual-domain inversion anchoring and tower topology projection. By establishing an inversion anchoring relationship between the spatial and electrical domains and combining it with the tower topology structure for coordinated projection convergence, it achieves synchronous constraint mapping between spatial propagation location and electrical state changes. This effectively improves the convergence efficiency of cross-domain correlated location and significantly enhances the overall consistency and reliability of accurate fault location in ultra-high voltage transmission corridors. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the method for precise fault location analysis of ultra-high voltage transmission corridors that takes into account the influence of terrain, as described in this invention. Specific technical solutions

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0022] Example 1, Figure 1This invention presents a method for accurate fault location analysis in ultra-high voltage transmission corridors that takes into account the influence of terrain, comprising the following steps:

[0023] S1: Obtain the transient spatial situation of the power transmission corridor elevation difference, generate the terrain-coupled temporal chain, and perform wavefront phase reconstruction and shaping to form a layered propagation coherent trajectory;

[0024] In this embodiment, the transient spatial situation of the power transmission corridor elevation difference is acquired, a terrain-coupled temporal chain is generated, and wavefront phase reconstruction and shaping are performed to form a layered propagation coherent trajectory, as detailed below:

[0025] The transient spatial situation of the transmission corridor's elevation difference (including tower elevation data, conductor sag data, transient traveling wave data, traveling wave record data, terrain undulation path data, and tower spatial data) is acquired, and tower spatial calibration points are synchronized. Cross-terrain conformal fitting is performed on discrete elevation abrupt changes and transient electrical responses to generate a terrain-coupled time-series chain. Specifically, this involves: first, retrieving tower ledger data, DEM terrain data, and online monitoring traveling wave data for the corresponding line section of the transmission corridor, and establishing a unified section index according to tower numbers; then, spatial fitting of the conductor sag curves between adjacent towers to obtain the actual conductor extension path for the corresponding section; and finally, calling the terrain undulation path data to perform... The terrain fitting process marks the line sections corresponding to ridges, canyons, and abrupt changes in elevation as terrain change sections. Then, the transient traveling wave response waveforms corresponding to each tower section are read and arranged in the order of wavefront arrival according to the direction of wave propagation. Furthermore, for the propagation path crossing the terrain change section, the conductor extension path of the corresponding section is synchronously associated with the traveling wave propagation waveform, and the propagation connection relationship between the sections is re-established. Subsequently, conformal fitting is performed on adjacent sections with significant elevation changes, mapping the propagation paths before and after the terrain change to the same continuous spatial surface, and the corresponding waveform connection positions are continuously spliced. Finally, the continuous propagation link is output according to the tower section order to form a terrain-coupled timing chain.

[0026] A wavefront phase folding migration is performed on the terrain-coupled time-series chain cluster to generate a hierarchical propagation coherence network. Specifically, this involves: identifying the traveling wavefront trigger points of adjacent tower sections within the terrain-coupled time-series chain cluster; establishing segmented propagation windows using tower elevation changes as spatial segmentation references; mapping the traveling wavefront trigger times within each segmented window to a standard time reference axis; determining folding groups based on the time offset relationship formed by elevation differences between adjacent sections; and then routing the propagation trajectory points within each folding group according to the actual route between towers. Continuous interpolation is performed to connect path breakpoints at ridges, steep slopes, and canyons. Then, wavefront phase alignment is performed on the processed propagation trajectories of each segment, unifying the wavefront origins of different segments to the same reference propagation origin. A phase inheritance relationship is established according to the spatial topology of the towers. Subsequently, inter-segment direct connection is performed on the propagation path after phase inheritance, that is, a continuous connection of the propagation path is established at the junction of adjacent towers and the direction change points are corrected. Finally, the continuous propagation path is organized and output in layers according to the height difference layering relationship to obtain the hierarchical propagation coherence network.

[0027] Based on the hierarchical propagation coherent network, complex propagation fiber stripping is performed, and the propagation direction is rearranged according to the terrain extension direction to generate a continuous terrain fiber field. Specifically, firstly, each link segment in the hierarchical propagation coherent network is marked with tower segment-level positioning, and the corresponding wavefront phase trajectory and spatial coordinate trajectory are extracted simultaneously. Then, a spatial reference axis is established based on the actual terrain orientation of the line, the trajectory points are projected onto the reference axis, and decomposed into a main orientation component and a terrain offset component. Next, cross-segment stripping is performed on the terrain offset component, retaining only the main orientation component and the offset component. After generating the location index, the main directional component is connected across adjacent tower sections, that is, the break points are continuously connected according to the direction of the line sag change, and the connection path is extended and corrected accordingly. Then, the continuous path is segmented and mapped according to the rhythm of terrain undulation, so that the ridge, slope and valley sections correspond to different extension rhythms. The segmented paths are then processed to be consistent in direction, that is, the local deflection path is adjusted to be consistent with the direction of line extension. Finally, the processed path is spatially aggregated and arranged according to the direction of terrain extension to form a continuous terrain fiber field.

[0028] The distortion boundary collapse process is applied to the continuous fiber field of the terrain, the propagation deflection boundary formed by the abrupt change in elevation is coheded and bundled, and redundant propagation branches are compressed simultaneously to generate the dominant propagation potential ridge.

[0029] Based on the dominant propagation potential energy ridge, terrain-embedded phase migration is performed to embed the propagation offset corresponding to the tower elevation change into the phase extension path, generating a spatial phase extension trajectory. Specifically, the dominant propagation potential energy ridge is first discretely sampled and calibrated according to tower sections, and the tower elevation change value and traveling wave phase offset value corresponding to each sampling point are simultaneously acquired. Then, the phase offset values ​​are bound point by point according to the spatial position of the tower. Next, a three-dimensional reference path is established with the spatial centerline of the transmission corridor as the reference, and the points in the dominant propagation potential energy ridge are projected onto the corresponding reference path. On the spatial nodes, during the projection process, the vertical offset caused by the change in tower elevation is synchronously superimposed, so that each node forms a spatial positioning point with elevation correction. Then, surface interpolation connection is performed between adjacent spatial positioning points, and the interpolation points are continuously supplemented according to the tower spacing. The phase offset value is synchronously mapped to each continuous point of the interpolation path. Subsequently, the mapped path is segmented and connected sequentially, and the path crossing the change in terrain is continuously connected. Finally, the spatial phase extension track surface composed of continuous spatial nodes and phase mapping relationship is output.

[0030] By performing topological chaining on the spatial phase extension track surface, a hierarchical propagation coherent chain network is generated. Specifically, the spatial phase extension track surface is first divided into tower sections by gridding, and continuous spatial units are generated with adjacent towers as boundaries. Each spatial unit is assigned a unique spatial number and phase identifier. Then, a spatial unit adjacency table is established, and the connection relationship between adjacent units is structurally registered. Next, spatial connection is performed on each adjacent unit pair, that is, the track surface connection line between the two units is continuously spline-fitted according to the actual route, and transition connection points are inserted at the terrain change points to complete the breakpoint connection. After that, all connected connection paths are hierarchically marked, the paths are divided into different elevation difference levels and collected separately. Then, lateral connection is performed on adjacent path nodes within the same elevation difference level, that is, direct connection relationship is established between nodes in the same level according to spatial distance constraints. Then, longitudinal connection is performed on different level paths based on the upstream and downstream order of the towers, and the nodes of the upper and lower levels are connected step by step according to the topological relationship. Finally, all lateral connection relationships and longitudinal connection relationships are summarized and output to obtain the hierarchical propagation coherent chain network.

[0031] Based on the hierarchical propagation coherent link network, a dominant ridge convergence processing is performed to converge the multi-path propagation trend to the main propagation ridge structure, outputting the hierarchical propagation coherent trajectory. Specifically, the hierarchical propagation coherent link network is first numbered and fixed according to tower segments. Then, the links are grouped and loaded at the same elevation level. All links in the same group are sorted by path expansion. Next, within each group, the dominant path is screened, and the path that satisfies the maximum extension of phase continuity marking and the minimum propagation response fluctuation is retained as the main candidate channel, while the remaining paths are marked and isolated. Finally, the nodes of the main candidate channel are spliced ​​segment by segment to form the phase continuity curve. The connection relationship between adjacent towers is used as a constraint. Discontinuous nodes are connected one by one according to spatial adjacency, and a direction consistency adjustment step is inserted at the connection point. Then, cross-layer connection is performed on the main candidate channels of different elevation levels. That is, nodes that meet the topological continuity condition between upper and lower layers are connected across layers, and path smoothing is performed on the cross-layer connection segment. Next, branch compression is performed on the overall path after connection. At the nodes where there is path bifurcation, the single branch with the strongest topological continuity is retained, and the other branches are eliminated. Finally, the compressed path is sorted and output according to the topological order of the whole corridor to form the main propagation ridge structure corresponding to the layered propagation coherent trajectory.

[0032] In this embodiment, distortion boundary collapse processing is performed on the continuous topographic fiber field, the propagation deflection boundary formed by abrupt elevation changes is converged, and redundant propagation branches are compressed simultaneously to generate a dominant propagation potential ridge, as detailed below:

[0033] By nodally calibrating the propagating fibers in the continuous topographic fiber field and identifying distortion boundary segments based on elevation abrupt change gradients, a distortion boundary node cluster is formed. Specifically, the propagating fibers in the continuous topographic fiber field are first segmented and calibrated according to tower numbers, and a mapping relationship between fiber segments and corresponding tower intervals is established. Then, elevation difference sequences are calculated for adjacent tower segments, and sliding window comparison operations are performed on the elevation difference sequences. Segments higher than the stable change range of the neighborhood are marked as abrupt change candidate points. Next, the fixed tower span range is expanded forward and backward with the abrupt change candidate points as the center, and the corresponding propagating fiber node set is extracted. The node set is then projected onto a unified spatial coordinate reference for position normalization. After that, the normalized nodes are rearranged in order according to the propagation direction, and intermediate interpolation connection points are inserted between nodes with break gaps to complete the path continuity processing. Finally, all nodes after abrupt change marking, range extraction, and continuity processing are summarized, registered, and structured according to spatial adjacency relationships to form a distortion boundary node cluster.

[0034] Based on a cluster of distorted boundary nodes, a terrain-altering adsorption zone unit is constructed. Continuous attachment and reconnection are performed on the fiber paths across the adsorption zone to obtain a boundary-converging fiber aggregate. Specifically: First, each node in the distorted boundary node cluster is spatially located according to the tower segment coordinates. A fixed span window is set along the route with the node as the center. Fiber nodes within the window coverage area are included in the same candidate segment. Then, each candidate segment is segmented and sliced ​​according to the continuity of elevation changes to form an initial set of adsorption zone units. Finally, the fiber nodes within each adsorption zone unit in the initial set of adsorption zone units are numbered and bound according to spatial order. First, the connection index relationship between adjacent nodes is established. Then, cross-unit matching search is performed on fiber paths with breaks across adsorption zone units. That is, the corresponding connection node pairs are determined based on the minimum spatial distance between the path endpoints. Transition path nodes are inserted between the connection nodes to complete the spatial connection. After that, the connected paths are sorted and rearranged in the forward direction according to the actual extension direction of the line. The path segments with intersections and reversals are adjusted to be consistent in direction. Finally, all fiber paths after window construction, cross-unit matching and continuous reconnection are summarized and integrated according to the pole and tower spatial topology relationship to generate a boundary convergent fiber aggregate.

[0035] The propagation direction field is calculated for the boundary-converging fiber aggregate, and segment-by-segment vector projection correction is performed on the fiber segments deviating from the main propagation direction to generate a directionally consistent fiber bundle. Specifically, firstly, each fiber path in the boundary-converging fiber aggregate is sampled segment by segment according to the tower section, and the spatial points within each segment are established into a coordinate sequence according to the propagation direction. At the same time, the spatial displacement vector between adjacent sampling points is calculated to form a local direction vector set. Then, direction clustering is performed on all local direction vectors, that is, the set of vectors with the highest spatial proportion and the strongest continuity is determined as the main propagation direction reference. Then, using this main propagation direction as a reference, the remaining... The fiber path is decomposed segment by segment, that is, each fiber segment is broken down into a projection component along the main direction and a lateral offset component. The lateral offset component is then projected point by point onto the main direction reference axis at the node level. After that, the projected node sequence is re-connected and sorted according to the tower topology. Intermediate interpolation nodes are inserted at positions where the spacing between adjacent nodes is abnormal to complete the path continuity. Furthermore, the reconstructed path is oriented consistent, and segments with local backsliding or deflection are adjusted in the forward direction according to the main direction. Finally, all fiber paths that have completed directional calculation, projection mapping and continuous reconstruction are uniformly collected and output according to spatial adjacency to form a oriented consistent fiber bundle.

[0036] A propagation energy level mapping layering process is performed on the oriented fiber bundle, and energy level aggregation is performed on paths within the same energy level to generate an energy level convergence propagation skeleton. Specifically, firstly, each fiber path in the oriented fiber bundle is sampled segment by segment according to tower sections, and the spatial coordinates and corresponding elevation values ​​of each sampling point are recorded simultaneously. Then, an elevation difference transition sequence is constructed based on the elevation difference between adjacent sampling points, and the elevation difference transition sequence is continuously segmented according to a fixed window length. The segmented segments are marked as basic transition units. Next, energy level encoding mapping is performed on each basic transition unit, that is, nodes corresponding to different amplitude intervals are assigned to energy level sets, and... Within the same energy level set, spatial adjacency search is performed on fiber paths to select path segments with continuous nodes and spatial spacing that meet connection constraints. Then, the selected path segments are connected end points according to the tower topology order. Intermediate connecting nodes are inserted at the path breakpoints to complete the continuity connection. The connected paths are then processed in a forward direction to eliminate local back-turn connections. After that, cross-level node mapping is performed between different energy level sets to establish a one-to-one mapping relationship between nodes corresponding to spatial positions in upper and lower energy levels and connect them level by level. Finally, all fiber paths that have completed energy level division, path connection and cross-level mapping are summarized and output in energy level order to form an energy level convergence propagation skeleton.

[0037] Local wavefront resonance screening is performed on the energy level convergence propagation framework, and phase attenuation removal is performed on asynchronous branches to generate a phase resonance aggregation domain. Specifically, firstly, phase discrete sampling is performed on each propagation path in the energy level convergence propagation framework according to tower segments, and the wavefront arrival time and propagation path number of the corresponding node are recorded synchronously. Then, local resonance windows are divided in units of continuous tower spans, and each path within the window is slid-aligned. A synchronization correlation table is established according to the phase change slope and wavefront arrival interval. Next, resonance screening is performed on the paths in the synchronization correlation table, and paths with continuous phase changes and stable arrival intervals are selected. The segments are grouped into the same resonance group, and a unified propagation index is established for the nodes within the resonance group. Then, asynchronous screening is performed on the paths that have not entered the resonance group. The branch nodes with phase jumps, abnormal arrival intervals, or deviations in propagation direction are located and marked segment by segment. The corresponding branches are pruned along the tower topology. Then, continuous connection is performed on the main path after pruning. Relay connection nodes are inserted at the corresponding positions of the removed branches according to the spatial adjacency relationship to complete the path connection. Finally, all paths that have completed resonance grouping, branch pruning, and continuous connection processing are uniformly aggregated and output according to the spatial topology relationship to obtain the phase resonance aggregation domain.

[0038] Topology connectivity processing is performed on the phase resonance aggregation domain, connecting the paths within the domain segment by segment according to the tower topology order to form a continuous backbone propagation link. Specifically, firstly, each propagation path in the phase resonance aggregation domain is segmented according to the tower number, and a corresponding upstream and downstream node index is established for each segment. Simultaneously, the spatial coordinates, phase sequence, and propagation direction markings of each node are recorded. Then, endpoint docking search is performed on adjacent segments with spatial breaks, and the node combination that meets the phase continuity condition and has the smallest spatial offset is determined as the continuous connection pair. Next, path bridging is performed between the continuous connection pairs, i.e., extending along the actual conductor. The process involves inserting continuous bridging nodes and arranging them in a curved pattern according to the sag variation between towers. Then, topology splicing is performed on the completed bridging paths. Adjacent path segments are spliced ​​together sequentially according to the upstream and downstream order of the towers. The direction of any turning back paths at the splicing nodes is reversed and reorganized. For path segments with intersections, unidirectional splitting and reconnection are performed. Subsequently, continuous patrol checks are performed on the overall spliced ​​path. For any discontinuous segments, the corresponding relationships of adjacent segments are called back for repair. Finally, the propagation paths after all bridging, splicing, and repair processing are structured and output according to the topology order of the transmission corridor, resulting in a continuous main propagation link.

[0039] The main propagation ridge is aggregated along the continuous main propagation link, and redundant branches are topologically compressed to retain only the propagation path with the strongest continuity, outputting the dominant propagation potential ridge. Specifically, firstly, each propagation path in the continuous main propagation link is fixed with link numbering according to tower segment. Then, the main chain is expanded along all paths in the upstream and downstream order of the towers, and the locations where multiple paths converge or fork are marked as branch determination segments. Next, link tracing is performed segment by segment along the propagation direction starting from the branch determination segment. The phase continuity span, directional deflection amplitude, and spatial extension stability of each branch path are compared as continuous segments, and the path with the longest continuous span and the smallest directional deflection is selected. The path is locked as the main propagation link segment. Then, topology folding and compression are performed on the remaining branches that are not locked. That is, the corresponding branch nodes are disconnected segment by segment according to the tower sequence, and the disconnected nodes are reattached to the corresponding positions of the main propagation link segment. Further, the path is sorted in the forward direction for the reattached nodes, and the ridge line is connected for the main propagation link segment after compression. That is, continuous bridging nodes are inserted into adjacent main link nodes along the actual extension direction of the conductor, and the bridging path is curved and connected according to the tower sag trend. Finally, the main path after all link compression, node attachment and ridge line connection processing are structured and output according to the topology sequence of the transmission corridor to obtain the dominant propagation potential ridge.

[0040] S2, based on the layered propagation coherent trajectory, performs coherent trajectory complex frequency domain fiberization separation and distortion boundary compression to obtain the terrain-sensitive fault projection domain;

[0041] In this embodiment, based on the layered propagation coherent trajectory, complex frequency domain fiberization separation and distortion boundary compression of the coherent trajectory are performed to obtain the terrain-sensitive fault projection domain, as follows:

[0042] Based on the propagation chain segment data in the hierarchical propagation coherent trajectory, the propagation phase sequence, spatial curvature evolution characteristics and elevation transition response data corresponding to each chain segment are extracted synchronously, and topological adjacency rearrangement and extension alignment are performed on adjacent chain segments to form a coherent trajectory topological coupling chain cluster.

[0043] Complex frequency domain fractal expansion is performed based on the coherent trajectory topological coupling chain cluster, and mirror folding coupling constraints are applied to the frequency band intersection region to generate a complex frequency fractal propagation field. Specifically, firstly, each propagation chain segment in the coherent trajectory topological coupling chain cluster is continuously identified and encoded. Then, the chain segments are sequentially connected along the topological direction of the transmission corridor. Next, sliding window slicing is performed on the connected propagation links, that is, the continuous phase change process is divided into multiple local evolution segments, and each segment is classified and grouped according to the phase change rate and spatial extension direction. Finally, the grouped segments are processed using the tower height difference transition position as the boundary. The process involves structurally rearranging segments, embedding segments with different paths but the same frequency band characteristics into the same frequency domain hierarchy. Then, the intersection points of adjacent segments are located and marked within the frequency domain hierarchy, and a symmetrical mapping relationship is constructed at the intersection points. The phase trajectories on both sides of the intersection are folded and connected according to the symmetrical mapping relationship. After that, the chain segments that have been folded and connected are continuously reconnected, that is, the break points are inserted into transition connection nodes according to the tower topology to complete the path connection. Finally, all the chain segments that have been classified, interleaved, and folded and connected are structurally aggregated according to the frequency domain hierarchy to generate a complex frequency fractal propagation field.

[0044] Phase fiber decoupling and stripping are performed on the complex frequency fractal propagation field, and chain segment reconstruction and disassembly are performed on the interleaved propagation region to form a layered propagation fiber cluster. Specifically, firstly, each propagation chain segment in the complex frequency fractal propagation field is discretely sampled point by point according to the tower segment. Then, a phase chain recording structure is constructed with continuous sampling points as units, and the phase chain recording structure is sequentially sorted according to the propagation direction to form a basic phase fiber chain set. Next, the regions with multi-path interlacing in the basic phase fiber chain set are spatially located and calibrated, and these regions are divided into interleaved propagation segments. Within the interleaved propagation segments, the phase sequences of different paths are aligned and compared point by point. The process involves separating and renumbering chain segments where phase change trends diverge, forming a set of phase-decoupled chain segments. Subsequently, the connection index of the set of phase-decoupled chain segments is re-established according to the tower topology, and cross-segment reconstruction connection is performed at the break points. During the connection process, transition nodes are inserted according to the spatial position of adjacent towers to complete the path connection. At the same time, the direction consistency adjustment is performed on chain segments with path folding or crossing. After that, the reconstructed chain segments are hierarchically aggregated according to the frequency domain level, and the chain segments within the same level are spatially adjacent and organized. Finally, all structures that have completed decoupling and chain segment reconstruction are summarized and output according to the hierarchical sequence to form a hierarchical propagation fiber core cluster.

[0045] A distortion boundary energy chimerism compression is performed on the layered propagating fiber clusters, and an energy attachment migration is performed on the cross-constraint zone propagating fibers to obtain the boundary cohesive fiber energy domain;

[0046] By performing propagation direction manifold unification and reorganization on the boundary cohesive fiber energy domain, and performing topology unloading and link purification on local reverse branches, a manifold-unified propagation skeleton is generated. Specifically, firstly, the propagation fibers in the boundary cohesive fiber energy domain are unfolded point by point, and the spatial coordinate increments are simultaneously chained with the propagation direction vectors. Then, the direction recursive chains are sequentially connected and spliced ​​along the tower topology. During the splicing process, the changes in the directional angle between adjacent chain segments are constrained and mapped in real time. That is, chain segments with abrupt changes in direction and reverse extension characteristics are automatically assigned to the bias propagation branch structure. Then, the bias propagation branch structure is... The process involves projecting the spatial extension direction point by point onto the main propagation axis, separating and peeling off chain segments that continuously deviate from the main chain to form reverse branch collection units. Then, topological reconnection is performed at the breakpoints of the main chain structure and the reverse branch collection units, that is, under the constraint of the spatial adjacency relationship between adjacent towers, transition connection points are inserted to complete the link reconnection. The overall path after the reconnection is then manifold-shaped, that is, the local return path is extended unidirectionally along the main propagation direction. Finally, the propagation chain structure after separation, reconnection and extension is uniformly converged and output according to the spatial topological relationship to form a manifold-consistent propagation skeleton.

[0047] Complex frequency resonant dwelling aggregation is performed on the manifold consistent propagation skeleton, and phase dissipation suppression and decoupling of asynchronous chain segments are performed to form a complex frequency dwelling propagation domain;

[0048] Based on the distortion boundary collapse and connection of the complex frequency dwell propagation domain, redundant propagation chain segments in the boundary region are segmented and collapsed according to the tower topology sequence. The main retained chain segments are then subjected to cross-layer bridging and continuous connection to form a terrain-sensitive fault projection domain. Specifically: First, the propagation chain segments in the complex frequency dwell propagation domain are rearranged segment by segment according to the tower topology sequence. For each chain segment, its spatial coordinate point sequence and phase dwell point sequence are read sequentially. Then, for each adjacent propagation chain segment combination, segment-by-segment difference comparison is performed. Chain segment combinations with abrupt jumps in the spatial coordinate sequence and discontinuous jumps in the phase dwell sequence are included in the redundant chain segment set. Next, segment compression is performed on the redundant chain segment set, merging and folding continuous chain segments. During the folding process, the intermediate coordinate points of the merged chain segments are removed. In addition, only the coordinates of the start and end points are retained, and the start and end points are realigned to the corresponding spatial coordinates of the towers. Further, cross-layer connection is performed on the compressed main chain structure, that is, spatially adjacent nodes are selected according to the tower height difference layer relationship, and nodes in different height difference layers that meet the requirements of continuous spatial distance and consistent propagation direction are connected one by one, and equally spaced interpolation trajectory points are inserted between the connection points. Then, the overall link after cross-layer connection is ordered, that is, all chain segments are reordered according to the tower number, local chain segments with misalignment are reordered and spliced ​​one by one, and the spatial direction offset of the spliced ​​path is finely adjusted point by point. Finally, the link structure after segment compression, cross-layer connection and order fine-tuning is uniformly output and sorted according to the tower topology sequence to obtain the terrain-sensitive fault projection domain.

[0049] In this embodiment, distortion boundary energy splicing compression is performed on the layered propagating fiber clusters, and energy attachment migration is performed on the fibers propagating across the constraint bands to obtain the boundary cohesive fiber energy domain, as detailed below:

[0050] Based on the segmented spatial unfolding of each fiber in the hierarchical propagation fiber cluster, and simultaneously analyzing the phase dwell evolution trajectory and spatial curvature transition characteristics of each fiber segment, the connection relationship between adjacent fiber segments is topologically recoded to form a boundary distortion association chain structure.

[0051] A topological folding energy convergence process is performed on the boundary distortion-related chain sequence structure, and topological anchoring markers are preserved at the folding nodes to form a boundary folded energy fiber skeleton chain. Specifically, firstly, each fiber segment in the boundary distortion-related chain sequence structure is sequentially rearranged, and the spatial coordinate evolution trajectory and phase dwell evolution trajectory between adjacent fiber segments are connected point by point to construct a continuous topological chain structure. Subsequently, the continuous topological chain structure is discontinuously discriminated, that is, the chain segment that simultaneously exhibits abrupt changes in spatial trajectory and phase dwell interruption is divided into folding candidate segments. Then, the folding candidate segments are processed... The process involves bridging the intermediate fiber nodes within a segment by compressing and eliminating them in a topological order, retaining only the endpoint nodes at both ends of the segment, and performing regression mapping on the spatial positions of the endpoint nodes. Subsequently, a topological anchor node is generated at the boundary of each segment after bridging is completed, and the path is reconnected to the adjacent chain segments using the anchor node as a connecting hub, so that the broken path re-forms a continuous extension relationship along the tower topological sequence. Finally, all the link structures after bridging, endpoint regression, and hub connection are uniformly ordered and organized according to the tower number to form a boundary folded energy fiber backbone chain containing folded breakpoints.

[0052] Based on the boundary folded energy fiber skeleton chain, a topology backfilling and chimeric reconstruction is performed. The fractured segments formed by the folding are reconstructed according to the original tower spatial adjacency relationship to obtain a chimeric skeleton structure. Specifically, this involves: continuously analyzing each fold break point in the boundary folded energy fiber skeleton chain, and matching the spatial coordinate endpoints of the fiber segments on both sides of the fold break point with the phase dwell endpoints point by point to construct the fracture endpoint connection chain structure. Subsequently, based on the original tower spatial adjacency relationship, a topology backtracking locking is performed on the fracture endpoint connection chain structure, that is, the preceding tower connection node corresponding to each fracture endpoint is paired with the following tower connection node. A contingency constraint chain structure is formed by forming an adjacency backfill constraint chain structure. Then, the spatial orientation of the contingency constraint chain structure is restored. That is, according to the original spatial arrangement trajectory of the poles and towers, a continuous transition connection path is constructed between adjacent breakpoints. The missing sections are then connected segment by segment according to the spatial order of the poles and towers to form a continuous extended link. Subsequently, the structure of the connected links is standardized and shaped. That is, for the connection segments with path reversal and spatial offset, the connection direction and path orientation are corrected segment by segment according to the original pole and tower topology. Finally, all the links that have completed endpoint docking, adjacency locking, path connection and structure shaping are continuously output according to the original pole and tower spatial sequence to generate a fused skeleton structure.

[0053] Based on the chimeric skeleton structure, cross-constraint zone energy guidance mapping is performed, and a continuous attachment trajectory surface is constructed at the constraint zone boundary to form an energy attachment migration chain. Specifically, this involves: firstly, deconstructing and unfolding each fiber segment in the chimeric skeleton structure segment by segment, and simultaneously extracting the spatial coordinate trajectory and phase dwell trajectory of each segment; then, continuously connecting the endpoints of adjacent segments point by point to obtain a continuous basic link structure; subsequently, constraint zone crossing identification is performed on the continuous basic link structure, that is, segmenting the continuous node intervals entering the terrain constraint zone boundary in the path to form cross-constraint zone path units; and finally, performing spatial-phase dual-channel remapping on the cross-constraint zone path units. The spatial coordinates of the nodes are directionally projected along the main propagation direction, and the corresponding phase dwell trajectory is synchronously mapped to the projection path sequence. The mapped nodes are then re-embedded into the spatial continuous position sequence corresponding to the constraint zone boundary. Subsequently, a point-by-point sequential connection relationship is established in the constraint zone boundary region based on the re-embedded node sequence. A continuous attachment trajectory surface is constructed through spatial curvilinear connection between nodes, and fiber chain segments are attached and matched segment by segment within the trajectory surface, so that the cross-constraint zone path forms a continuous attachment extension structure along the trajectory surface. Finally, all cross-constraint zone chain segments that have completed the remapping process and trajectory surface attachment connection are continuously connected and output according to the tower spatial sequence to obtain the energy attachment migration chain system.

[0054] By performing beam-like re-aggregation on the energy-attached migration chain system and energy beam aggregation reconstruction at the spatial convergence nodes, a cross-constraint zone energy convergence chain network is formed. Specifically, firstly, each migration chain segment in the energy-attached migration chain system is continuously deconstructed segment by segment, and the spatial coordinate trajectories and energy residence trajectories at the chain segment boundaries are integrated by endpoint docking to form a continuous migration link structure. Subsequently, beam merging is performed on the continuous migration link structure along the tower topology, that is, the paths of continuous chain segments with consistent spatial orientation and unidirectional energy change are bundled and compressed, so that multiple parallel migration paths form bundle-like channel units at the topological level. Then, the node merging and positioning of the bundle-like channel units are performed, i.e. Multiple bundled paths are merged at the same point at the adjacent nodes in the tower space, and the merging point is used as the convergence anchor point for serialization and numbering. Then, energy beam reconstruction and splicing are performed at each convergence anchor point, that is, multiple chain segments entering the anchor point are connected segment by segment according to their entry order, and the connection position is spatially continuous and smoothed. Then, cross-node connection shaping is performed on the connection relationship between anchor points, and a continuous transmission link is constructed between adjacent convergence anchor points. The direction of the continuous transmission link is spatially extended segment by segment. Finally, all the link structures after beam merging, anchor point reconstruction and cross-node connection are continuously organized and output according to the convergence anchor point sequence to form a cross-constraint band energy convergence chain network.

[0055] Multi-domain coupling compression is performed on the cross-constraint zone energy convergence chain network, and continuous reconstruction is performed on the main retained chain segment to generate a single topological extension structure. Specifically, firstly, each chain segment in the cross-constraint zone energy convergence chain network is sequentially numbered and organized, and the spatial coordinate trajectory of each chain segment is mapped and connected with the energy residence trajectory point by point to form a continuous topological sequence structure. Subsequently, multi-domain coupling compression is performed on the continuous topological sequence structure, that is, within the adjacent tower interval, the chain segments where the spatial path bifurcates, turns back, and the energy residence shows a multi-peak discrete distribution are reconstructed by interval fusion. Multiple paths within the same tower interval are equivalently compressed into a single passable chain segment expression according to spatial consistency. Then, the compressed chain segment is further processed. The link performs backbone screening, constructs a segment-by-segment consistency discrimination sequence for all parallel links at each tower node, determines the link with the strongest spatial trajectory continuity and the smoothest energy residence change as the main retained link, and performs topology desorption on the remaining links. Subsequently, cross-node reconnection is performed on the main retained link, spatial transition interpolation node sequences are introduced at discontinuous connection positions between adjacent tower nodes, and broken segments are sequentially reconnected. Then, direction consistency processing is performed on the connected path, and main propagation direction traction correction is performed on local reverse turn-back segments. Finally, the main retained link after interval fusion, backbone screening and reconnection are continuously organized according to the tower spatial sequence to output a single topology extension structure.

[0056] Based on a single topological extension structure, global potential energy principal axis extraction and cross-layer path convergence are performed. All remaining fiber paths are then segmentally merged and projected according to their potential energy gradients. Simultaneously, topological adsorption is applied to locally residual bifurcation links, ultimately outputting the boundary cohesive fiber energy domain. Specifically: First, each chain segment in the single topological extension structure is continuously unfolded segment by segment, and the spatial coordinate trajectory and energy residence trajectory of each node are synchronously aligned to form a global continuous topological link sequence. Then, principal axis path locking is performed on this global continuous topological link sequence. This involves connecting and fitting the nodes with the most continuous spatial orientation and the most stable energy residence changes within the entire link range to obtain the global potential energy principal axis reference line, which is used as a unified spatial baseline. Finally, hierarchical convergence is performed on the cross-layer paths. The process involves aligning and mapping chain segments with small spatial offsets from the main axis reference line across different elevation levels, segment by segment, according to tower intervals. The mapped chain segments are then repositioned to their corresponding nodes on the main axis reference line, ensuring that cross-layer paths enter the same axial sequence structure. Next, the remaining unbundled chain segments are projected point by point onto the nearest node on the main axis reference line, and the projected paths are sequentially joined together. Then, node adsorption is performed on locally remaining bifurcated links. The node closest to the main axis at the bifurcation location is selected as the adsorption target point, and the bifurcation chain segments are sequentially connected to the main axis path segment corresponding to this target point. Finally, the entire link structure, after main axis locking, cross-layer bundling, and bifurcation adsorption processing, is continuously organized according to the tower spatial sequence, outputting the boundary cohesive fiber energy domain.

[0057] In this embodiment, complex frequency resonant dwelling aggregation is performed on the manifold-consistent propagation skeleton, and phase dissipation suppression and decoupling of asynchronous chain segments are performed to form a complex frequency dwelling propagation domain, as detailed below:

[0058] Each propagation chain segment in the manifold consistent propagation skeleton is continuously encoded segment by segment, and the spatial coordinate trajectory of each chain segment is synchronously aligned with the phase dwell sequence point by point to construct the basic propagation chain sequence structure.

[0059] A dwelling window coupling is performed on the basic propagation chain sequence structure to construct a sliding dwelling analysis unit, resulting in a dwelling consistent chain cluster unit. Specifically, firstly, each propagation chain segment in the basic propagation chain sequence structure is expanded segment by segment, and the spatial coordinate sequence of each chain segment is bound to the phase dwelling sequence point by point. Then, a dwelling analysis window is constructed using a single tower interval as the sliding starting unit, and the window is progressively advanced along the tower sequence direction according to a fixed topological step size. Next, within each dwelling analysis window, the phase dwelling points of the covered chain segments are aligned on the time axis, and the phase dwelling points of corresponding spatial positions in different chain segments are uniformly mapped to the same reference time index, forming a consistent dwelling sequence within the window. Furthermore, the consistent dwelling sequences within the window between consecutive sliding windows are... Perform cross-window extension matching, that is, compare the endpoints of the chain segments point by point in the overlapping area of ​​adjacent windows, and splice the chain segments that meet the continuous recursion condition of phase dwelling across windows to form window-through chain segments. Then, perform topology consistency reorganization on all window-through chain segments, that is, reconnect them in the order of tower number and insert spatial transition nodes at the connection points to maintain topology adjacency. Next, filter the chain segment sequence that has been connected, that is, the chain segments that maintain the stable continuation of phase dwelling trajectory in the continuous window are grouped into the same cluster structure, and the chain segments that have dwelling abrupt changes or discontinuities are separated from the current cluster. Finally, all chain segment structures that have completed window coupling, cross-window splicing and classification are summarized in order according to the tower spatial sequence to output dwelling consistent chain cluster units.

[0060] Based on the residing consistent chain cluster unit, a complex frequency potential energy trough mapping is performed, and the chain cluster unit is projected point by point onto the center trajectory of the potential energy convergence channel to form a complex frequency resonance aggregation bundle. Specifically, firstly, each chain segment in the residing consistent chain cluster unit is expanded point by point, and each node is decomposed into a dual-field record structure of spatial coordinate components and phase residing components. At the same time, a continuous index relationship is established for adjacent nodes, forming a node linked list structure that can be sequentially traversed. Subsequently, point-by-point phase difference calculation and spatial displacement difference calculation are performed on the node linked list structure, and the difference results are written into the complex frequency potential energy calibration sequence. Afterward, the complex frequency potential energy calibration sequence is scanned by a sliding interval, that is, a fixed topological window is slid segment by segment on the node linked list, and the continuity of the potential energy calibration value is judged within each window. The potential energy calibration value is selected if it is monotonically decreasing and the spatial displacement is increasing. The window interval with consistent displacement direction is divided into valley candidate segments, and multiple adjacent valley candidate segments are connected at their endpoints according to the tower number to form the central trajectory skeleton of the potential energy convergence channel. Then, point-by-point trajectory matching calculation is performed on all nodes in the consistent residence chain cluster unit. Each node is mapped to the nearest corresponding point on the central trajectory skeleton of the potential energy convergence channel along its phase residence gradient direction. During the mapping process, the correspondence between the original topological number and the projection number of the node is preserved to form a projection mapping chain structure. After that, compensation is performed on the projection mapping chain structure, that is, spatial transition connection points are inserted between adjacent projection points according to the tower adjacency relationship and the fracture displacement deviation is corrected. Finally, the chain structure after potential energy calibration, valley segment generation and point-by-point projection reconstruction is linearly converged and output according to the tower topology order to obtain the complex frequency resonance aggregation bundle.

[0061] By performing topological entropy stabilization sieving on the complex frequency resonant aggregation bundle, the spatial connection direction consistency and phase dwell continuity of each segment within the bundle are coupled and evaluated to generate a set of asynchronous segments. Specifically, firstly, each segment in the complex frequency resonant aggregation bundle is expanded segment by segment, and each segment is decomposed into a continuous node sequence. Adjacent index relationships are established for these continuous node sequences to form a chain-like topology. Subsequently, dual-channel consistency calculations are performed on adjacent nodes in the chain-like topology, including point-by-point calculations of the angle change of the spatial connection direction vector and point-by-point continuous difference calculations of the phase dwell state. The results of these two types of calculations are then coupled and bound at the node level to form a topological consistency sequence. Finally, the topology is... The consistency sequence is subjected to segmented sliding scan, which slides continuously on the chain structure with a fixed node span. Within each sliding window, the spatial direction sequence is determined. For window intervals where both direction reversal and phase break occur simultaneously, abnormal windows are identified. Then, cross-window connectivity is performed on the abnormal window identification results, that is, adjacent or overlapping abnormal windows are spliced ​​together according to the tower number to form a continuous abnormal interval set. Subsequently, the continuous abnormal interval set is back-searched and located by chain segment, that is, the node index corresponding to the abnormal interval is written back to the original chain topology and the corresponding chain segment sequence is extracted. Finally, all chain segments that meet the abnormality judgment are linearly converged and output according to the tower topology order to form a asynchronous chain segment set.

[0062] Based on the asynchronous link set, phase dissipation suppression and delayed reconnection are performed. A segment-by-segment phase attenuation constraint is applied to the stripped link segments, and the attenuated link segments are reconnected to the low-interference propagation channel under the tower topology adjacency constraint, resulting in a phase attenuation redistribution link structure. Specifically: First, each link segment in the asynchronous link set is expanded segment by segment and decomposed into a node sequence structure. Simultaneously, a binding record of the phase dwell state value and spatial coordinate vector is established for each node, and the original topology index of the link segment is retained. Then, point-by-point phase attenuation is performed on the node sequence structure, that is, the phase dwell state of each node is recursively reduced according to the link propagation order, and the attenuation trajectory change is synchronously recorded within the node sequence. Finally, the link that has completed phase attenuation processing is... The segment performs a time delay reconstruction operation, which involves reordering and aligning the chain segment node sequence according to the tower adjacency relationship, and inserting delay compensation markers between adjacent nodes to form a delay-aligned chain structure. Then, the delay-aligned chain structure is subjected to topological adjacency determination, which maps the chain segments that meet the tower spatial continuity condition to the low interference propagation channel index set, and connects the chain segments to the corresponding channel node positions one by one. During the connection process, the node topological order remains unchanged and the connection relationship index is updated synchronously. Subsequently, compensation is performed on the connected chain segments, and transition nodes are inserted at the broken connection positions to correct the spatial offset deviation. Finally, all chain segments that have completed phase attenuation, delay reconstruction and channel connection processing are uniformly aggregated and output according to the tower topological sequence to generate a phase attenuation redistribution chain system structure.

[0063] Multi-domain coherent reconstruction and fusion are performed on the complex frequency resonant aggregation beam and the phase attenuation redistribution chain structure, and continuous curvature matching is performed on the spatial path to form a highly consistent propagation domain skeleton. Specifically, the complex frequency resonant aggregation beam and the phase attenuation redistribution chain structure are first expanded node by node, and a three-element record structure is established for each node, consisting of a spatial coordinate vector, a phase dwell state value, and a structural source identifier. Then, cross-structure paired node groups are constructed with the tower section as the smallest processing unit. Within each paired node group, the phase dwell state is recalibrated to a reference, that is, the phase sequences from different sources are uniformly mapped to the same reference time reference. The recalibrated nodes are then subjected to point-by-point phase deviation calculation and written into the node. Next, spatial path adjustment is performed on the node sequence, which involves continuous difference calculation of the spatial vectors between adjacent nodes and sequential back-insertion of nodes whose offset exceeds the topological adjacency range. Then, continuous curvature fitting is performed on the path-adjusted dual-structure node sequence, which involves segment-by-segment fitting calculation of the spatial curvature change of each node and local smoothing and embedding of curvature abrupt points. Subsequently, the node sequence that has completed curvature matching is embedded and connected, which involves inserting transitional connection nodes at the original topological break positions and reconstructing the adjacency index relationship. Finally, all node sequences that have completed benchmark recalibration, spatial adjustment and curvature embedding are linearly converged and output according to the tower topology order to form a highly consistent propagation domain skeleton.

[0064] Based on a highly consistent propagation domain framework, complex frequency dwelling field reshaping is performed. The aggregated resonant beam and redistribution chain segments are then globally topologically compressed and normalized. A continuous dwelling mapping relationship is established according to the tower sequence. Boundary adsorption-type convergence shaping is performed on cross-domain residual perturbation chains, ultimately outputting a structurally stable complex frequency dwelling propagation domain. Specifically: First, the complex frequency resonant aggregated beam and phase attenuation redistribution chain segments in the highly consistent propagation domain framework are expanded node-by-node. Simultaneously, a bidirectional index mapping relationship driven by tower numbers is established for the node sequence. Then, complex frequency dwelling field reshaping is performed on the docked node sequence, i.e., the phase dwelling state of the nodes is segmented and recoded according to the tower sequence, and the phase relationship between adjacent nodes is converted into a progressive dwelling chain expression. Finally, global topological compression and normalization are performed on the dwelling chain structure, i.e., continuous dwelling... Nodes within the tower section are represented by segment merging, and endpoint anchoring records are retained between merged nodes to form compressed chain units. Next, cross-domain dwell mapping is constructed on the compressed chain units, that is, chain segments from different sources are cross-attached within the same tower section, and transition connection markers are generated at the attachment points to form a continuous mapping chain. Subsequently, perturbation segment extraction is performed on chain segments with abrupt spatial offset and discontinuous phase dwell in the continuous mapping chain, splitting them into independent perturbation chain segment sets. Then, boundary adsorption convergence is performed on the perturbation chain segment sets, that is, each perturbation chain segment is attached to the main chain topology boundary node by node according to the nearest tower adjacent boundary and the connection relationship index is rewritten. Finally, all the link structures after reorganization, normalization and boundary adsorption processing are linearly converged according to the tower topology sequence, and the structurally stable complex frequency dwell propagation domain is output.

[0065] S3 generates a terrain-constrained fault location zone by performing multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the terrain-sensitive fault projection domain.

[0066] In this embodiment, a terrain-constrained fault location zone is generated by performing multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the projection domain of terrain-sensitive faults, as detailed below:

[0067] Based on the terrain-sensitive fault projection domain, topology resampling mapping is performed to bind and rearrange the spatial trajectory points distributed along the tower sequence within the projection domain with the phase dwell sequence point by point to form a continuous topology dwell sequence structure.

[0068] Multi-scale wavefront dwelling decoupling decomposition is performed on the continuous topological dwelling sequence structure to reconstruct dwelling segments at different propagation scales into a set of hierarchical dwelling units.

[0069] Based on the hierarchical dwelling unit set, phase-driven topology fragmentation identification is performed, and the calibration intervals are reconstructed by aligning cross-segment breaks according to the tower adjacency relationship, forming a continuous fragmentation chain structure. Specifically, firstly, each dwelling unit in the hierarchical dwelling unit set is expanded node by node, and each node is simultaneously bound to a spatial coordinate vector and a phase dwelling state value to construct a node-level dwelling sequence structure. Subsequently, phase-driven fragmentation scanning is performed on the node-level dwelling sequence, that is, a progressive slip judgment window is constructed along the tower sequence direction, and phase dwelling change rate calculation and phase dwelling interruption detection are performed on the nodes within the window. The window intervals that simultaneously satisfy the phase abrupt change and dwelling discontinuity characteristics are fragmented and calibrated to generate a calibration interval set. After that, the calibration interval set is processed. The topology break recoding involves remapping the start and end nodes of each calibration interval according to the tower number, pairing and binding the endpoints of adjacent calibration intervals to form break docking node pairs. Then, serialization reconstruction is performed on the break docking node pairs, that is, the docking nodes are connected segment by segment, and topology transition nodes are inserted between the connected nodes to fill the break gaps. At the same time, segment screening is performed on the connected path, that is, local chain segments with topological jumps are eliminated and reattached to the main sequence path according to the nearest neighbor tower index. Then, cross-segment coupling integration is performed on the reconstructed chain structure, that is, spatially adjacent chain segments with continuous phase residence are bundled in parallel, and the bundled structure is uniformly linearly output according to the tower sequence, and the output can connect the broken chain group structure.

[0070] For the permeable fractured chain structure, topographic coupling fracture reconstruction is performed to form a reconstructed continuous chain cluster unit. Specifically, this involves: first, performing topographic coupling fracture localization on the chain structure, matching and comparing each tower elevation change point with the chain segment spatial curvature abrupt change point point, and calibrating the fracture coupling of intervals that simultaneously satisfy elevation change and curvature transformation to generate a set of coupled fracture intervals; then, performing breakpoint re-anchoring on the set of coupled fracture intervals, that is, rebinding the start and end nodes of each fracture interval to the corresponding topological anchor points according to the tower number, and performing cross-segment pairing connection on the anchor points of adjacent fracture intervals to construct fracture reconstruction docking units. Next, ... The reconstructed docking unit performs topological chain splicing, connecting each docking unit segment by segment according to the tower sequence direction, and constructing spatial interpolation transition nodes at the connection nodes to accommodate path gaps caused by height jumps. At the same time, path screening is performed on the chain structure after connection, and local chain segments with spatial breaks or phase disconnections are stripped and reattached to the main chain continuous segment based on the nearest neighbor tower topology index. Finally, cross-segment adjacency fusion is performed on the corrected chain structure, that is, spatially adjacent and phase-continuous chain segments are merged and spliced, and linearly rearranged according to the tower topology sequence to obtain the reconstructed continuous chain cluster unit.

[0071] Based on the recombined continuous chain cluster units, multi-frequency dwelling consistency aggregation is performed. Dwelling segments at different levels are clustered and merged according to phase coherence to form a convergent bundle structure. Specifically: First, the recombined continuous chain cluster units are sequentially serialized, and the spatial trajectory changes and phase dwelling changes of each segment are synchronously written into the continuous state record. Then, dwelling segment segmentation is performed on the continuous state record, that is, according to the alternating positions of abrupt and gradual changes in the phase change rhythm, the chain segment is divided into multiple groups of dwelling segments, and each segment is labeled with a frequency domain level and evolution direction. Finally, phase coherence relationship scanning is performed on all dwelling segments, comparing the phase progression rhythm of adjacent segments segment by segment along the tower topology. Following the spatial zigzag bending trend, segments that simultaneously satisfy the same phase advancement direction and consistent spatial bending are grouped into a candidate set of similar dwelling clusters. Next, cross-frequency fusion is performed on the candidate set, that is, segments of different frequency domain levels but with synchronous phase change rhythms are superimposed across layers, and a shared dwelling anchor point is constructed at the superposition position. Then, chain reshaping is performed on the superimposed structure, that is, segments within the same dwelling cluster are continuously connected according to the tower direction, and local buffering is performed at the phase jump position during the connection process to eliminate dwelling discontinuities. Finally, the chain structure that has been reshaped is bundled and converged, that is, chain segments with similar spatial paths and consistent phase rhythms are bundled and compressed for output to form a converged bundled structure.

[0072] A fracture-compensation spatial reconstruction is performed on the convergent bundled structure, and cross-tower adjacent interpolation is performed on the remaining fracture nodes to obtain a continuous chain cluster structure. Specifically, the chain segments in the convergent bundled structure are first disassembled segment by segment, and the spatial coordinate points and phase dwell points of each chain segment are bound point by point and written into a continuous recording unit. At the same time, the connection status between adjacent chain segments is determined node by node. The spatial displacement difference and phase dwell interruption mark of adjacent nodes are calculated point by point along the tower sequence direction. Nodes that simultaneously satisfy the conditions of spatial trajectory interruption and phase dwell breakage are marked as fracture nodes. Then, a cross-tower neighborhood search is performed on the fracture nodes, that is, the search is extended to the tower intervals before and after the fracture node as the center, and the node with the shortest spatial distance and phase change is selected. Continuous node pairs are used as connection targets. Then, segmented interpolation construction is performed on the connection targets. That is, a progressive sequence of intermediate transition coordinate points is generated between the two end nodes according to the tower spacing direction, and the sequence is embedded into the broken interval point by point. Then, the embedded trajectory is joined with the original chain segment by boundary. That is, the spatial polyline at the joint is segmented and the angle is redistributed. Then, the phase dwell sequence of the joint area is extended and written point by point. The phase state of the missing interval is continued to be filled according to the change trend of adjacent nodes. Furthermore, the repaired chain segment is checked node by node. For local intervals that still have breaks, neighborhood interpolation and joint repair are repeated. Finally, all processed chain segments are continuously connected and output in the order of tower sequence to form a continuous and connected chain cluster structure.

[0073] Based on a continuous chain cluster structure, terrain constraint mapping is written back. All chain clusters are uniformly sorted according to the tower sequence to form a terrain constraint propagation zone with a consistent structure. Specifically, the process involves: first, disassembling and reading the chain segments in the continuous chain cluster structure segment by segment according to the tower number, and expanding the spatial trajectory points of each chain segment point by point. Each trajectory point is split into horizontal coordinates and elevation difference coordinates, and bound to the corresponding tower number and written into the record unit. Then, all chain segments are sorted, that is, the chain segments are rearranged segment by segment in ascending order of tower number. During the rearrangement process, the first node of each chain segment is snapped to the tower reference point, that is, the first node is moved point by point to the corresponding tower spatial coordinate position. Finally, the last node of the chain segment is matched with the adjacent tower transition point, and the next tower reference point is selected. The nearest neighbor spatial point is used as the end connection point. Then, the terrain constraint back-write is performed on the sorted chain segments. That is, the elevation difference of each trajectory point is written point by point according to the tower interval in which it is located, and the coordinate difference direction of adjacent two points is calculated segment by segment and back-filled. Then, constraint connection is performed at the boundary position of adjacent chain segments. A three-point progressive transition point sequence is constructed at the boundary, namely the end point of the previous chain, the intermediate point of the transition, and the starting point of the next chain are generated by spatial distance interpolation and inserted point by point between the original trajectory chain segments. Subsequently, the entire chain segment is checked. For the interval with tower number break or constraint change, local segment back-down reconstruction is performed. That is, after deleting the abnormal interval, the connection trajectory is regenerated according to the adjacent tower nodes. Finally, all processed chain segments are continuously output in the order of tower number, and the terrain constraint propagation zone with consistent structure is output.

[0074] By performing boundary convergence screening on the terrain constraint propagation zone, topological adsorption merging is performed on cross-zone redundant chain segments, and path solidification is performed on the final retained chain segments, outputting the terrain constraint fault location zone. Specifically, the chain segments in the terrain constraint propagation zone are first expanded and read segment by segment, and the spatial trajectory point sequence and terrain constraint identifier of each chain segment are simultaneously deconstructed to extract its boundary node sequence. Then, zone boundary determination is performed on all chain segments, and the spatial overlap interval and constraint difference value between adjacent chain segments are calculated node by node. Intervals that simultaneously satisfy spatial coverage repetition and consistent constraint identifiers are divided into cross-zone redundant chain segments. Finally, topological adsorption merging is performed on the cross-zone redundant chain segments, i.e. Using the center trajectory point of the redundant interval as a reference, point-by-point adsorption mapping is performed to the nearest main chain segment node. The trajectory points of the redundant chain segments are then merged into the corresponding chain segment sequence according to the spatial position of the adjacent main chain segments. Subsequently, path continuity processing is performed on the merged chain segments, that is, a transition trajectory point sequence is inserted at the adsorption junction, and the originally separated trajectory breakpoints are gradually connected according to the tower spacing direction. After that, path solidification is performed on all chain segments, the trajectory point sequence of each chain segment is written in lock order according to the tower number, and its spatial order relationship and constraint identifier are frozen and will not be changed. Finally, the chain segments after boundary screening and adsorption merging processing are continuously output according to the tower sequence to form the terrain constraint fault location zone.

[0075] In this embodiment, a multi-scale wavefront residence decoupling decomposition is performed on the continuous topological residence sequence structure to reconstruct residence segments at different propagation scales into a hierarchical residence unit set, as follows:

[0076] Based on the continuous topological dwelling sequence structure, a topological adjacency graph representation is constructed, that is, each dwelling node in the tower sequence is mapped as a graph node carrier, and the spatial continuity relationship and phase dwelling continuity relationship between adjacent nodes are bound by dual-attribute edges to form an initial graph-based dwelling structure.

[0077] A level-driven path re-injection reconstruction is performed on the initial graphed dwelling structure. The dwelling energy level state of each node is reverse-injected and transmitted along the tower topology direction to obtain energy level transition fragment cluster units. Specifically, firstly, each node in the initial graphed dwelling structure is disassembled and read point by point, and the dwelling energy level state value and phase dwelling sequence of each node are extracted simultaneously and transcribed into a linked list structure of energy level states arranged along the sequence direction. Then, taking the tower sequence start end as the re-injection starting point, the energy level state of the current node is used as the initial driving quantity and transmitted step by step to subsequent nodes along the topological adjacency relationship. At each transmission node, an energy level differential coupling recording unit is constructed to connect the energy level of the current node with the energy level of the previous node. After point-by-point differential binding, the energy level transition mutation positions in the link are segmented and truncated. That is, the node intervals where the energy level change amplitude changes abruptly during continuous transmission are divided into independent transmission segments, and a sequential backfeed chain is re-established within each segment. The energy level of the first node in the segment is used as a local reference to re-push and fill the segment tail node in reverse. At the same time, energy level buffer transition nodes are inserted at the cross-segment connection to receive the transition difference. Furthermore, all node links that have completed backfeed recursion and segment segmentation are reconnected in the order of tower topology, and node-level merging and sorting are performed on the reconnected structure. Node segments with continuous energy level recursion relationship and consistent spatial topology are extracted as energy level transition segment cluster units.

[0078] Phase-spectral-flow nested mapping reconstruction is performed on the energy level transition fragment cluster unit to generate a spectral-flow nested residence cluster structure. Specifically, firstly, each fragment in the energy level transition fragment cluster unit is separately mounted, and the phase residence trajectory, energy level transition trajectory, and spatial offset trajectory of each fragment are synchronously written into an independent spectral-flow buffer slot. Then, staggered flow guidance is performed on adjacent spectral-flow buffer slots, that is, low-energy fragments are pressed into the side region of the high-energy main channel along the tower orientation, and the phase advancement direction and residence position of the fragments entering the main channel are recorded point by point. Then, a spiral nested layout is performed inside the main channel, that is, spectral-flow fragments with overlapping spatial trajectories are constructed into a spiral winding link along the tower spatial path, and during the winding process... For each loop node, channel occupancy registration is performed to avoid multiple segments occupying the same propagation trajectory. Then, cross-layer track switching is performed on the completed looped spectral stream chains, that is, local chain segments whose propagation direction deviates from the main spectral stream direction are switched to adjacent spectral stream channels, and buffer dwelling bridge segments are inserted at the track switching position to receive the phase changes before and after. After that, longitudinal compression is performed on all spectral stream chains, that is, chain segments with the same phase propagation rhythm are compressed and grouped into the same longitudinal propagation band according to the tower number, and repeated looped sections within the longitudinal propagation band are trimmed and retained, only the continuous propagation links are retained. Finally, the spectral stream chains that have completed the flow guidance, looping, track switching and compression processing are continuously output according to the tower topology order to form a spectral stream nested dwelling cluster structure.

[0079] The spectral flow nested resident cluster structure is subjected to stratified fragmentation of resident energy levels, and secondary fragmentation and reconstruction are performed on sub-segments with similar energy levels but significant differences in spatial curvature to form a fine-grained set of resident segments. Specifically, firstly, each chain segment in the spectral flow nested resident cluster structure is segmented into multiple energy level banding intervals according to the increasing direction of resident energy levels. Then, longitudinal layering is performed on each energy level banding interval, that is, the resident duration of the nodes is truncated point by point along the tower sequence direction. The node positions with abrupt changes in duration are taken as interlayer breakpoints, and the original chain segment is cut into multiple hierarchical sub-segments based on the interlayer breakpoints. Finally, curvature folding screening is performed on each hierarchical sub-segment, that is, nodes with continuous folding offsets in the spatial trajectory are extracted as... The process involves creating a bend in the segment and recording the curvature reversal of the node trajectories within that segment. When the curvature direction reverses between adjacent nodes, the corresponding node interval is separated from the atomic fragment to form an independent fragmentation segment. Then, the fragmentation segments are subjected to staggered band switching, which involves switching segments with large spatial curvature changes to adjacent energy level band intervals for reloading. A resident buffer node is inserted at the band switching node to receive the energy level changes before and after. Subsequently, the segments that have completed the band switching are subjected to link pruning. Local node segments with repeated loop trajectories are pruned according to the tower adjacency order, retaining only the continuous propagation path. Finally, all the sub-segments that have completed the layer cutting, fragmentation, band switching, and pruning processes are grouped and output according to the energy level and tower sequence to form a fine-grained resident fragment set.

[0080] Cross-cluster rhythm fusion is performed on the fine-grained residency fragment set. Fragments with synchronous phase rhythm progression in different residency clusters are merged across clusters to obtain a spectral flow nested residency cluster structure. Specifically, firstly, rhythm tagging is performed on each fragment in the fine-grained residency fragment set, that is, the phase progression direction, residency stagnation period, and spatial extension trajectory of each fragment are written into the corresponding rhythm slot. Then, cross-tracking is performed on the rhythm slots in different residency clusters, that is, the phase progression step size and residency stagnation interval of adjacent fragments are compared segment by segment along the tower topology direction. A track connection relationship is established for fragments with continuous step size changes and synchronous stagnation intervals. Finally, rhythm overlay is performed on the track-overlaid fragments, that is, the fragment with faster propagation beat is embedded. Inside the main rhythm chain with a slower beat, a dwelling buffer bridge is inserted at the embedding position to handle the transition propagation between different beats. Then, loop pressing is performed on the chain segments after the loop is connected, that is, multiple rhythm chains with similar spatial trajectories are laterally pressed together along the same tower path, and the repeated propagation nodes in the pressed area are folded back and removed, leaving only the main propagation chain. Further, cross-cluster slot switching is performed on the chain segments that have completed the pressing, that is, local segments whose propagation direction deviates from the current rhythm channel are switched to adjacent rhythm slots to continue to extend, and phase connection nodes are reconstructed at the slot switching position. Finally, the rhythm chains that have completed the paralleling, looping, pressing and slot switching processes are clustered and output according to the tower topology order to obtain the spectral flow nested dwelling cluster structure.

[0081] Path perturbation back-injection repair is performed on the nested spectral stream cluster structure. Local path offset information in each nested spectral stream is back-injected and mapped along the original topological node sequence to generate a spectral stream back-injection reconstructed resident chain structure. Specifically: First, each spectral stream chain in the nested resident cluster structure is disassembled segment by segment, and corresponding identifier sequences are established for spatial offset nodes, phase resident nodes, and spectral stream track-changing nodes in each segment. Then, reverse back-injection traction is performed on the chain segments with path offsets, i.e., starting from the tail node of the offset chain segment, tracing back along the original tower sequence direction, and writing the spatial offset of the current node back to the preceding node level by level. Simultaneously, the offset increment between adjacent nodes is recursively propagated during the back-writing process. Finally, offset foldback and compression are performed on the node chains that have been back-written, i.e., the offset trajectory is gradually folded back to the original topological main path. The process involves attaching segments and bypassing and removing duplicate nodes that occur during the attachment process, retaining only continuous reinjection links. Next, channel reattachment is performed on the reinjected links, which involves reattaching local nodes that have detached from the original spectral flow channel to the main spectral flow path of the corresponding tower section. Reinjection buffer bridges are inserted at the reattached nodes to accommodate changes in propagation direction. Subsequently, perturbation and blanking are performed on the reattached links, which involves laterally migrating nodes with large residual offsets along the adjacent spectral flow direction and simultaneously adjusting their residence order. Furthermore, chain closure is performed on all links, reconnecting nodes with continuous propagation in adjacent tower sections into a closed link. Finally, the spectral flow chain after reverse reinjection, foldback, channel reattachment, and closure is continuously output according to the tower topology sequence, generating a spectral flow return reconstructed residence chain structure.

[0082] A cross-spectral domain phase-locked reconstruction driven by the residence energy level is performed on the spectral flow back reconstructed residence chain structure to output a cross-scale phase-locked residence chain structure. Specifically, firstly, each chain segment in the spectral flow back reconstructed residence chain structure is disassembled segment by segment, and the residence energy level state value, phase residence rhythm value, and spatial trajectory offset of each node are extracted simultaneously. Then, nodes with continuous energy levels and periodic repetition of phase rhythms within the same tower interval are divided into candidate phase-locked segment clusters. Subsequently, cross-spectral domain phase docking is performed on the candidate phase-locked segment clusters, that is, nodes with phase rhythms that are synchronized at integer multiples in different spectral flow levels are paired across layers, and a phase-locked connection channel is established between the paired nodes. Phase buffer transition nodes are inserted inside the connecting channel to accommodate rhythm differences. Then, energy level driven convergence is performed on the paired structure, that is, high-energy nodes are pulled point by point along the topological direction to the low-energy main channel, and the phase deviation is corrected and mapped node by node during the pulling process. Furthermore, cross-scale nested compression is performed on the converged chain segments, and the phase-locked chain segments in different spectral layers are stacked in multiple layers along the spatial path. The path intersection nodes in the stacked area are split and reattached, and only the main phase-locked path is retained. Finally, the chain structure after completing cross-spectral domain docking, energy level pulling and multi-layer stacking is continuously output in the order of tower topology, and the cross-scale phase-locked resident chain structure is output.

[0083] S4, based on the terrain constraints of the fault location zone, drives the coordinated convergence of spatial electrical dual-domain inversion anchoring and tower topology projection;

[0084] In this embodiment, based on the terrain-constrained fault location zone, the spatial electrical dual-domain inversion anchoring and tower topology projection are driven to converge collaboratively, as follows:

[0085] The spatial trajectory sequence and electrical transition sequence of the topological nodes of the tower within the terrain-constrained fault location zone are obtained, and the spatial displacement vector and electrical transition state corresponding to each tower node are bound point by point and written into the dual-domain mapping chain to form a spatial-electrical dual-track embedded sequence.

[0086] Topological segmentation and bandgap labeling are performed on the space-electric dual-track embedded sequence. Nodes exhibiting curvature abrupt changes in the spatial trajectory are interleaved with nodes exhibiting energy level transitions in the electrical transitions. A cross-domain triggering index chain is constructed using these labeled nodes as anchor points, forming the initial inversion anchoring skeleton. Specifically: First, the space-electric dual-track embedded sequence is expanded node by node, and a continuous node linked list structure is established along the tower topology direction. Then, curvature transition scanning is performed on the continuous node linked list structure, i.e., the amplitude of the broken-line turning change is calculated point by point in the spatial trajectory dimension, and curvature breakpoints are marked for nodes exhibiting turning abrupt changes. Finally, energy level transition scanning is performed on the electrical state sequence, i.e., energy level breaks are marked for nodes exhibiting step changes in the electrical state. First, the points are marked, and the curvature breakpoints and energy level breakpoints are cross-paired and mapped. Then, cross-domain indexing and anchoring are performed starting from the calibration node pairs. Bidirectional index pointers are generated at each calibration node, pointing the spatial side node to the corresponding electrical side node. At the same time, a reverse back-pointing relationship is established, and the bidirectional index pointers are connected in series segment by segment along the tower sequence direction to form a cross-domain trigger index chain. Then, the cross-domain trigger index chain is subjected to section compression, that is, the unmarked intervals between adjacent calibration nodes are segmented and the encapsulated segments are assigned to the nearest calibration node. Finally, all the structures that have completed the pairing mapping, index construction and segment connection processing are linearly output according to the tower topology order to form the initial inversion anchoring skeleton.

[0087] The initial inverted anchoring skeleton is subjected to electrical-driven spatial backflow traction, and the spatial trajectory is reverse-driven back-written along the tower sequence direction. Simultaneously, a segmented phase-reversal bridging structure is introduced into the traction path to form a cyclic continuation chain. Specifically: first, the initial inverted anchoring skeleton is dischained segment by segment, and the electrical transition point sequence in each segment is rewritten into a directional drive sequence. Then, the electrical transition sequence is converted into a segmented potential flow envelope according to the tower topology direction, that is, continuous transition points are compressed into equally spaced drive units, and the drive units are reverse-ordered and relabeled. Afterwards, node-by-node back-writing traction is performed on the drive units, starting from the end... The nodes begin to correct their spatial positions point by point along the mapping table, and translate the electrical drive units into spatial displacement increments step by step and superimpose them onto the corresponding node coordinates. During the write-back process, the path interruption intervals are reconstructed in segments, and phase return bridge points are inserted at the interruption boundaries. Forward and return dual-path connection segments are generated with the bridge points as the center. Furthermore, all bridge point connection segments are sequentially embedded according to the tower sequence, and the main traction chain and the return chain are interleaved to form a composite path sequence. Finally, the composite path sequence is output as a whole to obtain a gyratory continuation chain composed of the reverse traction chain and the return embedded chain.

[0088] Spatial electrical dual-domain interleaving locking is performed on the rotary splicing chain, and cross-tower jump connection suppression re-connection is implemented on the interleaving node to obtain the interleaving locking chain body;

[0089] A path compression and shaping process driven by a topological energy field is performed on the interlaced locking chain. Redundant loop segments of the spatial trajectory are converged along the tower direction using energy field driving, generating a single-axis continuous chain structure. Specifically, the interlaced locking chain is first expanded segment by segment, and the spatial trajectory point sequence of each segment is synchronously bound to form a node constraint linked list structure. Then, loop segment identification is performed on the trajectory points in the node constraint linked list structure. This involves calculating the rate of change of spatial displacement direction of adjacent nodes according to the tower sequence direction, marking continuous node intervals forming closed loops or reciprocating folding characteristics as redundant loop segments. Finally, the redundant loop segments are... The topological energy field projection is performed on the segment, which maps its spatial coordinates to a reference line segment in the main axis direction of the tower. The projection result is decomposed into a sequence of axial offsets for each node. Then, the axial offset sequence is compressed and rearranged segment by segment, which folds the repeated spatial back-and-forth paths into unidirectional progressive path nodes. At the same time, axial transition nodes are inserted at the break points during the compression process. Next, the compressed node chain is sequentially re-embedded, and all nodes are unidirectionally connected according to the tower number. Non-axial redundant connection edges are removed. Finally, the chain structure with only a single axial progressive path is output, forming a single-axis through chain structure.

[0090] A cross-domain phase nesting fusion process is performed on a single-axis continuous chain structure to map electrical transition rhythms into a nested beat structure of spatial trajectories. Multiple phase-residing shells are constructed at the nested nodes to obtain the nested fused chain structure. Specifically: First, the single-axis continuous chain structure is decomposed node by node, and the spatial trajectory coordinates of each node are bound to the electrical transition rhythm data and written into a two-field node table. Then, periodic slicing is performed on the electrical transition rhythm, dividing the transition sequence into several rhythm segments according to the inflection points of continuous rhythm changes. A phase label is bound to each rhythm segment, and then the phase label is mapped to the corresponding spatial node interval. Finally, nesting is performed on the spatial trajectory. The beat rewriting process involves introducing multi-level time-progression markers within the spatial interval corresponding to each rhythm segment, splitting the original single-layer trajectory into multi-layer nested trajectory levels, and establishing a stacked connection between the levels. Next, a phase dwell shell structure is constructed at the nested node position. That is, with the nested node as the center, multiple progressive envelope node layers are generated according to the direction of the distance between adjacent towers, and each layer of envelope nodes is bound to a different phase dwell state value. Subsequently, sequential compression is performed on all nested levels, and the spatial nested trajectory and electrical rhythm level are stacked node by node and written into the same linked list structure. Finally, a nested fusion chain structure composed of multi-layer nested trajectories and phase dwell shells is output.

[0091] The nested fused chain structure is reconstructed along the topology axis. All nodes are rearranged axially according to the tower sequence, and the end segments are continuously spliced ​​to ensure the spatial trajectory and electrical transition path are continuously connected on the same topology axis. Specifically: First, the nested fused chain structure is decomposed node by node. The spatial coordinate vector and electrical transition state vector of each node are decoupled and written into a dual-domain node table. A topology axis index is also created for each node. Then, axial sorting and remapping are performed along the main tower sequence direction. All nodes are rearranged into single-chains according to the index, and the nested hierarchical structure is folded into a single-layer axial linked list structure. Finally, the spatial axis is reconstructed on the rearranged nodes. Projection involves mapping the spatial coordinates of each node point by point to the tower's main axis reference line, and correcting the offset nodes axially. Further, the electrical transition sequence is embedded in the same order, writing the transition states point by point to the corresponding spatial nodes according to the rearranged node indices. Then, the chain-like end is extended, generating a progressively extending node chain after the end node along the tower spacing direction, and copying the end electrical transition rhythm segment by segment into the extended chain segment to form a continuous recursive sequence. Further, endpoint bridging is performed on the main chain and the extended chain, i.e., inserting axial transition nodes at the breakpoints and reconstructing the connection edge relationships. Finally, all nodes are output in axial index order, forming a coaxial, continuous structure connecting the spatial trajectory and the electrical transition path.

[0092] In this embodiment, spatial electrical dual-domain interleaving locking is performed on the rotary splicing chain, and cross-tower jump connection suppression re-connection is implemented at the interleaving nodes to obtain the interleaved locking chain body, as detailed below:

[0093] Based on the spiral-type splicing chain, a pre-organization of the tower topology reconstruction is performed. The chain is segmented segment by segment according to the tower number, forming a dual-domain basic embedded sequence structure. Specifically, firstly, the spiral-type splicing chain is deconstructed at the node level, that is, each spatial trajectory node and electrical transition node in the chain is separated into an independent recording unit, and a tower number index and a dual-domain identifier field are added to each node. At the same time, a sequentially stored original node queue is constructed. Subsequently, a segmentation boundary identification mechanism is established along the tower number direction. The point of change of adjacent tower numbers is used as the segmentation trigger point to cut the original node queue segment by segment, generating an initial fragment set divided by tower intervals. Further, the initial fragment set is rewritten using dual-domain attribute embedding, that is, the spatial trajectory sequence within each segment is rewritten. The columns and electrical transition sequences are interleaved and bound node by node, and rewritten into the interlocking record chain according to the same tower interval. Then, the interlocking record chain is re-arranged into a topological sequence, that is, the nodes inside each segment are rearranged in order according to the increasing direction of the tower number, and the cross-segment connection relationship is isolated by breaking, removing the direct jump relationship across towers, and only retaining the continuous connection edge in the same segment. After that, the rearranged segments are subjected to continuous compression within the segment, that is, the repeated trajectory nodes in the same tower interval are folded and merged node by node, while retaining the dual-domain mapping relationship between spatial displacement and electrical transition. Finally, all processed segments are linearly recombined according to the tower number order, and endpoint docking records are established at the boundary of adjacent segments to form a dual-domain basic interlocking sequence structure that can be sequentially traversed.

[0094] By performing spatiotemporal dual-index raster mapping on the dual-domain basic chimeric sequence structure, the spatial index key and electrical index key are coupled and recombined node by node, and a discrete raster slot structure is constructed according to the tower sequence to form an interleaved locking point distribution chain. Specifically, the dual-domain basic chimeric sequence structure is first deconstructed at the node level, that is, each tower node is split into spatial trajectory units and electrical transition units. At the same time, a tower sequence code and a dual-domain identification index are generated for each node. Then, an index dual-channel rearrangement chain is constructed along the tower direction. The spatial index in the dual-domain identification index is segmented and sorted according to the continuous change of the trajectory, and the electrical index in the dual-domain identification index is synchronously sorted according to the transition occurrence time. The spatial index and electrical index of the same node are bound and encapsulated to form a dual-index coupling unit. Then, the tower sequence is... The column is divided into continuous discrete slot intervals, and a unique spatial anchor point and electrical anchor point coordinate reference are assigned to each slot. The dual-index coupling unit is embedded node by node into the corresponding slot anchor point position. At the same time, the multi-unit competition for the position during the embedding process is rewritten. The unit with stronger spatial trajectory continuity is fixed as the main position object, and the remaining units are arranged sequentially downward. Then, the grid slots are horizontally adjacent to each other, that is, bidirectional index connection edges are established between adjacent slots, and the cross-slot jump relationship is reconstructed and replaced with a progressive connection structure within the slot. Furthermore, the grid chain is inter-segment interpolation chain supplementation is performed, that is, relay grid nodes are generated at the slot break position and dual-index transition units are inserted. Finally, all grid slots are sequentially pressed and output along the tower sequence to form an interleaved locking point distribution chain.

[0095] Based on the path barrier-driven cross-tower blocking reconstruction of the interleaved locking point distribution chain, the cross-tower connecting edges are translated into directional potential flow channels, and blocking anchors are inserted at potential flow abrupt change locations to generate a potential flow blocking reattachment chain. Specifically, the interleaved locking point distribution chain is first expanded node by node, and each connecting edge is split into a start node, an end node, and a cross-tower connection identifier. All connecting edges are written into the topology edge record table, and a directional attribute field is added to each connecting edge. Subsequently, the spatial adjacency strength and electrical transition strength in the connecting edges are converted into directional weight values, and the dual-domain weights of each connecting edge are combined into a potential flow direction vector. Then, directional potential flow encoding is performed on all connecting edges to form a potential flow edge set. The potential flow edge set is traversed edge by edge to identify connecting edge segments with abrupt changes in direction. The boundary positions where the difference in direction between adjacent edges exceeds the set conversion conditions are marked as potential flow abrupt change points. An blocking anchor point structure is inserted at the node position corresponding to the abrupt change point. The blocking anchor point consists of left and right bidirectional truncation markers and local reconnection markers. At the same time, the original cross-tower connecting edge is split at the anchor point position, that is, it is divided into two sub-edge segments. Further, the split sub-edge segments are re-attached, that is, the front segment is connected to the adjacent node of the same tower, and the rear segment is re-matched to the nearest consistent direction node according to the potential flow direction. The connection relationship table is updated. Finally, all edge structures after blocking and re-attaching are re-connected in series according to the tower sequence to form a potential flow blocking and re-attached chain.

[0096] Based on the potential flow blocking reconnection chain, spatial electrical interleaving and locking compression are performed to obtain the locking node unit chain. Specifically, the potential flow blocking reconnection chain is first disassembled node by node. Then, the node connection relationship is expanded into edge units, that is, all connecting edges are split into directional basic chain segments, while retaining the cross-tower markers and adjacency indexes. Next, the spatial adjacency index and electrical transition index are paired and bound item by item, and the bound node pairs are interleaved and rewritten. Finally, the interleaved nodes are segmented and compressed, that is, the tower number is used as the boundary. The node chain is divided into intervals. Within each interval, multiple intersecting or repeated connecting edges are folded and merged. The merged main connecting path is written into the compression linked list. At the same time, a locking node identifier is generated at the compression position and bound to two fields: spatial coordinates and electrical status. Furthermore, the locking nodes are fixed point by point, and the connection relationship between nodes is transformed into an immutable chain connection structure. Redundant jumper edges across towers are removed, and only the main chain sequential connection relationship is retained. Finally, all locking nodes are continuously recombined and output along the tower sequence to form a locking node unit chain.

[0097] A phase-folding dual-domain nesting process is performed on the locking node unit chain, mapping the spatial backtracking trajectory and the electrical transition sequence in reverse folding to form a folded constraint nested chain. Specifically, the locking node unit chain is first deconstructed node by node, that is, each node is split into spatial coordinate items, electrical transitions, and connection orientation items. Then, the spatial trajectory is segmented by backtracking behavior, that is, the continuous node intervals in the node sequence that exhibit path rotation, circling, or reverse advancement are sliced ​​and labeled according to their start and end positions, and the spatial backtracking direction chain is recorded for each slice. Next, the electrical transition sequence is subjected to reverse temporal expansion, that is, the transition states are mapped in reverse order, and a one-to-one binding relationship is established with each segment of the spatial backtracking slice. Then, an outer spatial path skeleton and an inner electrical transition embedding chain are set inside each foldback slice. The spatial foldback path is organized as the outer path according to the node sequence. The electrical transition state is embedded into the additional domain of the spatial node node by node and a bidirectional reference relationship is established. Next, a folding and compression operation is performed on the nested structure. The continuous repeated foldback paths are merged into segments according to the node span, and the merged path is rewritten into the node connection relationship. At the same time, the electrical embedding sequence in the nested level is updated synchronously. Furthermore, all nested slices are continuously spliced ​​according to the tower sequence. The connection relationship is rewritten at the boundary of adjacent slices using the endpoint reconnection method. Finally, the folded constraint nested chain body that completes the fusion of spatial foldback and electrical reverse nesting is output.

[0098] By performing cross-domain topology chain-based solidification on the nested chain of folded constraints, the folded constraint pairs are rewritten in series along the tower sequence direction, and the connection relationships between adjacent nodes are reconstructed unidirectionally, resulting in the cross-domain topology chain-based solidification result. Specifically, the nested chain of folded constraints is first decomposed node by node, and the spatial return trajectory field, electrical nesting state field, and folded constraint pair identifier field of each node are separated and extracted, and written into a continuous index sequence according to the node number. Then, the connection relationships between nodes are expanded edge by edge, that is, the original bidirectional connection relationship is split into independent directional edge units, while retaining its spatial path attribute and electrical association attribute. Then, the folded constraint pairs are... The serialization rewriting process involves linearly rearranging constraint pairs scattered across different intervals according to the increasing tower number, merging and pressing segments with the same constraint identifier to form continuous constraint chain segments. Subsequently, all connecting edges are uniformly converted into unidirectional connections from low-order nodes to high-order nodes, and the connection start and end node mapping relationships are updated synchronously. Then, a chain-like serial reconstruction is performed on the unidirectional connecting chains, continuously splicing the connection relationships of adjacent nodes segment by segment, and removing reverse backflow connecting edges and duplicate connecting edges during the splicing process, retaining only the main sequence progressive connection relationships. Finally, the entire chain structure is sequentially rearranged and output according to the tower sequence to obtain the cross-domain topology chain solidification result.

[0099] Based on the cross-domain topology chain solidification results, a three-domain collaborative locking and shaping process is performed. This involves unified mapping and fusion of the spatial index grid, potential flow blocking structure, and phase folding constraints. The node connection relationships are then axially normalized and rearranged to output a spatially and electrically dual-domain stable interleaved locking chain. Specifically: First, the cross-domain topology chain solidification results are decomposed node by node. The spatial coordinate data, spatial index identifier, potential flow blocking identifier, and phase folding constraint fields of each node are decoupled and extracted, and written into a continuous mapping sequence according to node number. Then, the node spatial coordinates are discretized into grid cells according to the tower spacing, and the nodes are mapped to the corresponding grid coordinate slots. Next, a directional channel transformation is performed on the potential flow blocking structure, rewriting each blocking edge as a restricted passage chain segment with directional attributes. The constraint mapping relationship is formed by binding the corresponding grid cell node by node. Then, the phase folding constraint is fragmented and expanded, and the folding path is split into continuous constraint segments according to the node sequence. The segments are then embedded and written according to the tower number and grid position. Next, the three-domain data fusion writing operation is performed. The spatial index state, potential flow constraint state and phase constraint state are synchronously superimposed at each node grid position, and the three-domain association pointer link between nodes is established. Then, the node connection relationship is reconstructed by axial normalization, that is, all connection edges are uniformly adjusted to a unidirectional connection structure along the increasing direction of the tower sequence. The connection relationships with intersection, reverse and redundancy are rewritten and replaced one by one. Finally, all nodes are continuously rearranged and output according to the axial sequence to form a spatial electrical dual-domain stable intertwined locking chain.

[0100] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0101] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0102] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0103] The above description is merely a specific technical solution of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0104] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for precise fault location analysis in ultra-high voltage and extra-high voltage transmission corridors considering the influence of terrain, characterized in that, include: The transient spatial situation of the power transmission corridor elevation difference is obtained, a terrain-coupled temporal chain is generated, and wavefront phase reconstruction and shaping are performed to form a layered propagation coherent trajectory. Based on the hierarchical propagation coherent trajectory, we perform coherent trajectory complex frequency domain fiberization separation and distortion boundary compression to obtain the terrain-sensitive fault projection domain. By performing multi-scale wavefront dwelling decomposition and spatial fracture reconstruction on the projection domain of terrain-sensitive faults, a terrain-constrained fault location zone is generated. Based on the terrain constraints of the fault location zone, the spatial electrical dual-domain inversion anchoring and tower topology projection are coordinated to converge.

2. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 1, characterized in that, The process involves acquiring the transient spatial situation of the power transmission corridor's elevation difference, generating a terrain-coupled temporal chain, and performing wavefront phase reconstruction and shaping to form a layered propagation coherent trajectory, as detailed below: The transient spatial situation of the elevation difference of the power transmission corridor is obtained, and cross-terrain conformal integration is performed on discrete elevation changes and transient electrical responses to generate a terrain-coupled temporal chain. Perform wavefront phase folding migration on terrain-coupled temporal chain clusters to generate hierarchical propagation coherent networks; Perform complex propagation fiber stripping based on hierarchical propagation coherent convolution to generate a continuous topographic fiber field; A distortion boundary collapse is performed on the continuous fiber field of the terrain to generate a dominant propagating potential energy ridge. Based on the dominant propagation potential energy ridge, terrain-embedded phase migration is performed to generate a spatial phase-extended orbital plane; By performing topological chaining on the spatial phase-extended orbital plane, a hierarchical propagation coherent chain network is generated. Based on the hierarchical propagation coherent chain network, the dominant ridge condensation is executed, and the hierarchical propagation coherent trajectory is output.

3. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 2, characterized in that, The process of performing distortion boundary collapse on the continuous fiber field of the terrain to generate a dominant propagation potential energy ridge is as follows: By nodalizing the propagating fibers in the continuous fiber field of the terrain and identifying the distortion boundary segments based on the abrupt change in elevation gradient, a cluster of distortion boundary nodes is formed. Based on the cluster of distorted boundary nodes, a terrain abrupt adsorption zone unit is constructed, and continuous attachment and reconnection are performed on the fiber path across the adsorption zone to obtain a boundary convergent fiber aggregate. Perform propagation direction field calculations on the boundary convergent fiber polymer to generate directionally consistent fiber bundles; Perform propagation energy level mapping layering on the directionally consistent fiber stream to generate an energy level convergence propagation skeleton; Local wavefront resonance screening is performed on the energy level convergence propagation framework to generate a phase resonance aggregation domain; Topology connection is performed on the phase resonance aggregation domain to form a continuous backbone propagation link; The main propagation ridge is condensed on the continuous main propagation link, and the dominant propagation potential energy ridge is output.

4. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 1, characterized in that, The method involves performing complex frequency domain fiberization separation and distortion boundary compression of the coherent trajectory based on hierarchical propagation coherent trajectory to obtain the terrain-sensitive fault projection domain, as detailed below: Based on the propagation chain segment data in the hierarchical propagation coherent trajectory, a coherent trajectory topological coupling chain cluster is formed; Perform complex frequency domain fractal expansion based on coherent trajectory topological coupling chain clusters to generate complex frequency fractal propagation fields; Phase fiber decoupling and stripping are performed on the complex frequency fractal propagation field, and chain segment reconstruction disassembly and reassembly are performed on the staggered propagation region to form a layered propagation fiber core cluster; A distortion boundary energy chimerism compression is performed on the layered propagating fiber clusters, and an energy attachment migration is performed on the cross-constraint zone propagating fibers to obtain the boundary cohesive fiber energy domain; By performing propagation direction manifold unification and reorganization on the energy domain of the boundary cohesive fiber, a manifold-unified propagation skeleton is generated; Perform complex frequency resonant dwelling aggregation on the manifold uniform propagation skeleton to form a complex frequency dwelling propagation domain; Based on the complex frequency dwell propagation domain, distortion boundary collapse and connection are performed to form a terrain-sensitive fault projection domain.

5. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 4, characterized in that, The process involves performing distortion boundary energy interlocking compression on the hierarchical propagating fiber clusters and energy attachment migration on the cross-constraint zone propagating fibers to obtain the boundary cohesive fiber energy domain, as detailed below: The fiber clusters are spatially expanded segment by segment according to the hierarchical propagation, forming a boundary distortion association chain structure. Topological folding energy convergence is performed on the boundary distortion correlation chain structure to form a boundary folding energy fiber bone chain; A chimeric skeleton structure is obtained by performing topological backfilling and chimerism reconstruction based on boundary folding energy fiber bone chains. Based on the chimeric skeleton structure, energy guidance mapping across constraint bands is performed to form an energy attachment migration chain. By performing beam-like re-aggregation on the energy-attached migration chain system, a cross-constraint band energy convergence chain network is formed; Multi-domain coupling compression is performed on the cross-constraint band energy convergent chain network to generate a single topological extension structure; Based on a single topological extension structure, global energy principal axis extraction and cross-layer path convergence are performed, and the energy domain of the output boundary cohesive fiber is output.

6. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 4, characterized in that, The manifold uniform propagation skeleton is subjected to complex frequency resonant dwelling aggregation to form a complex frequency dwelling propagation domain, as follows: The manifold consistent propagation skeleton is encoded segment by segment to construct the basic propagation chain structure; By performing dwell window coupling on the basic propagation chain sequence structure, a sliding dwell analysis unit is constructed to obtain a dwell consistent chain cluster unit; Based on the resident consistent chain cluster unit, perform complex frequency potential energy trough mapping to form complex frequency resonant aggregate bundle; A set of asynchronous chain segments is generated by performing a topological entropy stabilization sieve on the complex frequency resonant aggregation bundle; Based on the set of asynchronous chain segments, phase dissipation suppression and delayed reconnection are performed to obtain a phase attenuation redistribution chain structure. Multi-domain coherent reconstruction and fusion of complex frequency resonant aggregation bundle and phase attenuation redistribution chain structure are performed to form a highly consistent propagation domain skeleton. Based on the high-consistency propagation domain framework, perform complex frequency dwell field remodeling and output complex frequency dwell propagation domain.

7. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 1, characterized in that, The method involves multi-scale wavefront residence decomposition and spatial fracture reconstruction of the terrain-sensitive fault projection domain to generate terrain-constrained fault location zones, as detailed below: Based on the terrain-sensitive fault projection domain, topology resampling mapping is performed to form a continuous topology dwell sequence structure; Multi-scale wavefront dwelling decoupling decomposition is performed on the continuous topological dwelling sequence structure to reconstruct dwelling segments at different propagation scales into a set of hierarchical dwelling units. Phase-driven topological fragmentation identification is performed based on the hierarchical resident unit set to form a permeable fragmentation chain structure; Terrain-coupled fracture and recombination are performed on the permeable fractured chain structure to form a recombined continuous chain cluster unit; Multi-frequency residency-based uniform aggregation is performed based on the recombined continuous chain cluster units to form a convergent bundle structure; By performing a fracture-compensation spatial reconstruction on the convergent bundled structure, a continuous through-chain cluster structure is obtained. Based on the continuous chain cluster structure, terrain constraint mapping is written back to form a terrain constraint propagation zone. By performing boundary convergence screening on the terrain constraint propagation zone, the terrain constraint fault location zone is output.

8. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 7, characterized in that, The process of performing multi-scale wavefront residence decoupling decomposition on the continuous topological residence sequence structure reconstructs residence segments at different propagation scales into a hierarchical residence unit set, as detailed below: Based on the continuous topological residency sequence structure, a topological adjacency graph representation is constructed to form an initial graph-based residency structure. The initial patterned resident structure is reconstructed by energy level-driven path backflow, resulting in energy level transition fragment cluster units; Phase spectral flow nested mapping reconstruction is performed on the energy level transition fragment cluster units to generate a spectral flow nested resident cluster structure; The spectral flow nested resident cluster structure is subjected to hierarchical fragmentation of the resident energy level to form a set of fine-grained resident fragments; Perform cross-cluster rhythm fusion on the fine-grained set of resident fragments to obtain a spectral flow nested resident cluster structure; Perform path perturbation back-injection repair on the nested resident cluster structure of the spectral stream to generate a spectral stream back-reconstructed resident chain structure; The spectral backflow focuses on performing cross-spectral domain phase-locked reconstruction on the resident chain structure, and outputs a cross-scale phase-locked resident chain structure.

9. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 1, characterized in that, The method of driving the coordinated convergence of spatial electrical dual-domain inversion anchoring and tower topology projection based on terrain-constrained fault location zones is as follows: Based on the terrain constraints, a spatial-electrical dual-track embedded sequence is formed for fault location zones. Topological segmentation bandgap marking is performed on the space-electric dual-track embedded sequence to form an initial inversion anchoring skeleton; The initial inversion anchoring frame is subjected to electrical-driven spatial backfilling traction, and the spatial trajectory is reversed and written back along the tower sequence direction to form a swirling continuation chain; A spatial electrical dual-domain interleaving lock is performed on the rotary splicing chain to obtain an interleaved lock chain body; Perform topological energy field-driven path compression and shaping on the interlocking locking chain to generate a single-axis through-chain structure; Perform cross-domain phase nested fusion on a single-axis through-chain structure to obtain a nested fusion chain structure; Perform topology axis reconstruction on nested fused chain structures.

10. The method for precise fault location analysis of ultra-high voltage transmission corridors considering terrain influence as described in claim 9, characterized in that, The rotary splicing chain is subjected to spatial electrical dual-domain interleaving locking to obtain an interleaved locking chain body, as detailed below: Based on the rotary splicing chain, the pre-organization of the tower topology reconstruction is performed to form a dual-domain basic embedded sequence structure; By performing spatiotemporal dual-index raster mapping on the dual-domain basic chimeric sequence structure, an interleaved locking site distribution chain is formed; Based on the interleaved locking site distribution chain, the path barrier-driven cross-tower blocking reconstruction is performed to generate a potential flow blocking re-hanging chain. Based on the potential flow blocking re-connection chain body, spatial electrical interweaving locking and pressing is performed to obtain the locking node unit chain body; Phase-folding double-domain nesting is performed on the chain of locked node units to form a folded constraint nested chain; By performing cross-domain topology chain solidification on the nested chain of folded constraints, the cross-domain topology chain solidification result is obtained; Based on the cross-domain topology chain solidification result, perform three-domain collaborative locking shaping to output a spatial electrical dual-domain stable interlaced locking chain.

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