Method for construction replacement and parameter review of AC-DC conversion device

Abstract

This invention provides a method for construction replacement and parameter verification of AC / DC converter devices, relating to the technical field of smart grids. The method includes: acquiring the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase-splitting device; constructing a multi-pantograph coupling disturbance function based on the pantograph-catenary state sequence and generating a disturbance distribution set; performing dynamic negative sag parameter reconstruction processing on the phase-splitting device according to the disturbance distribution set; performing spatial curve reconstruction processing based on the dynamic negative sag parameters and geometric parameter set to obtain a target geometric parameter set; performing construction replacement and iterative adjustment control on the phase-splitting device according to the target geometric parameter set and tension parameter set; performing disturbance consistency verification based on the updated second pantograph-catenary state sequence, and performing reverse correction of the dynamic negative sag parameters according to the verification result, outputting the verification result when preset conditions are met. This invention can improve the efficiency of construction adjustment in multi-pantograph coupling operation scenarios.

Description

Technical Field

[0001] This invention relates to the technical field of smart grids, specifically to a method for construction, replacement, and parameter verification of AC / DC conversion devices. Background Technology

[0002] With the continuous development of high-speed and heavy-haul railways, AC / DC phase-splitting devices, as a key structure in the catenary system, directly affect the current continuity and contact stability during pantograph passage through their construction, replacement, and parameter verification. In existing technologies, adjustments to the phase-splitting device are typically made by measuring conductor height, pull-out value, and tension parameters on-site, combined with empirical formulas or static design specifications. After construction, pantograph-catenary testing vehicles are used to acquire pantograph-catenary status data to verify the device's operational status. When the test results do not meet requirements, manual adjustments are made to the dropper length, positioning point location, and tension distribution based on experience. Some technical solutions have begun to introduce parameter optimization methods based on pantograph-catenary testing data, but these often employ single-pantograph operating condition analysis or local parameter correction methods, lacking collaborative modeling and unified control of the overall geometry, tension distribution, and multi-pantograph coupling effects of the phase-splitting device.

[0003] In multi-pantograph coupled operation scenarios, the front and rear pantographs generate superimposed disturbances to the phase-splitting device, causing distortion in the timing distribution of contact force. Existing methods lack a closed-loop correlation mechanism between construction adjustments and operational verification, making it impossible to effectively map the pantograph-catenary state deviations obtained from the remeasurements back to specific geometric parameters and negative sag parameters for targeted correction. This results in multiple rounds of manual adjustments failing to achieve overall convergence, reducing construction efficiency and affecting operational safety. Summary of the Invention

[0004] This invention provides a method for construction, replacement, and parameter verification of AC / DC converters, which can improve the efficiency of construction adjustments in multi-panel coupled operation scenarios.

[0005] In a first aspect of the present invention, a method for construction, replacement, and parameter verification of an AC / DC converter is provided, the method comprising: Obtain the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device; Based on the bow-catenary state sequence, a multi-bow coupling perturbation function is constructed and a perturbation distribution set is generated; The phase splitting device is reconfigured based on the disturbance distribution set to obtain dynamic negative sag parameters; Based on the dynamic negative sag parameter and the set of geometric parameters, perform space curve reconstruction processing to obtain the target set of geometric parameters; Based on the target geometric parameter set and the tension parameter set, the phase separation device is subjected to construction replacement and iterative adjustment control. Based on the updated second bow-catenary state sequence, a perturbation consistency check is performed. The dynamic negative sag parameter is then reversed according to the check result, and the verification result is output when the preset conditions are met.

[0006] In a second aspect of the invention, an AC / DC converter construction replacement and parameter verification device is provided. The device is used to execute an AC / DC converter construction replacement and parameter verification method as described in any of the above embodiments. The device includes an acquisition module, a processing module, and an output module, wherein: The acquisition module is used to acquire the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device; The processing module is used to construct a multi-bow coupling perturbation function and generate a perturbation distribution set based on the bow-catenary state sequence; The processing module is used to perform parameter reconstruction processing on the phase splitting device according to the disturbance distribution set to obtain dynamic negative sag parameters; The processing module is used to perform space curve reconstruction processing based on the dynamic negative sag parameter and the set of geometric parameters to obtain the target set of geometric parameters. The processing module is used to perform construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and the tension parameter set; The output module is used to perform a perturbation consistency check based on the updated second bow-catenary state sequence, reverse correct the dynamic negative sag parameter according to the check result, and output the verification result when the preset conditions are met.

[0007] In a third aspect of the invention, an electronic device is provided, including a processor, a memory, a user interface, and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any of the preceding embodiments.

[0008] In a fourth aspect of the invention, a non-transitory computer-readable storage medium is provided, the computer-readable storage medium storing instructions that, when executed, perform the method as described in any of the preceding claims.

[0009] In summary, one or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages: This invention unifies the modeling of the first bow-catenary state sequence with the geometric parameter set and tension parameter set, constructs a multi-bow coupling disturbance function, and generates a disturbance distribution set. This allows for a quantitative expression of the superimposed disturbances of multiple bows at both spatial and structural levels. Furthermore, through dynamic negative sag parameter reconstruction and spatial curve reconstruction, operational disturbance deviations are directly mapped to adjustable geometric and negative sag parameters, achieving a positive transfer from operational state to structural parameters. Simultaneously, during construction replacement and iterative adjustment control, a disturbance consistency verification and reverse correction mechanism based on the second bow-catenary state sequence is introduced. This allows remeasurement deviations to drive parameter updates and form a closed-loop convergence process, avoiding multiple rounds of trial adjustments relying on manual experience. In multi-bow coupling operation scenarios, this achieves directional convergence and collaborative optimization of parameter adjustments, significantly improving construction adjustment efficiency and enhancing the stability and controllability of adjustment results. Attached Figure Description

[0010] Figure 1 This is a flowchart illustrating a method for construction, replacement, and parameter verification of an AC / DC converter disclosed in an embodiment of the present invention. Figure 2 This is a schematic diagram of a dynamic negative sag parameter reconstruction process disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of a module for construction, replacement, and parameter verification of an AC / DC converter disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present invention.

[0011] Explanation of reference numerals in the attached drawings: 301, acquisition module; 302, processing module; 303, output module; 401, processor; 402, communication bus; 403, user interface; 404, network interface; 405, memory. Detailed Implementation

[0012] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification 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.

[0013] In the description of the embodiments of the present invention, words such as "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "for example" or "for instance" in the embodiments of the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of words such as "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0014] In the description of the embodiments of the present invention, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0015] The current construction, replacement, and parameter verification of AC / DC phase-splitting devices mainly rely on static measurements and experience-based adjustments. There is a lack of unified modeling and closed-loop correlation mechanisms between construction adjustments and pantograph-catenary inspection verification. Especially in multi-pantograph coupled operation scenarios, the superimposed disturbances of the pantograph cause distortion of the contact force distribution. Existing methods are unable to map the pantograph-catenary state deviation obtained from the remeasurement to geometric parameters and negative sag parameters for coordinated correction. As a result, multiple rounds of manual adjustments are still difficult to achieve overall convergence, leading to reduced construction efficiency and increased operational safety risks.

[0016] This invention discloses a method for construction, replacement, and parameter verification of an AC / DC converter, which is applied to a server. The server includes, but is not limited to, electronic devices such as mobile phones, tablets, wearable devices, and PCs (Personal Computers), and can also be a backend server running the AC / DC converter construction, replacement, and parameter verification method. The server can be a standalone server or a server cluster composed of multiple servers.

[0017] This embodiment discloses a method for construction, replacement, and parameter verification of an AC / DC converter, referring to... Figure 1 It includes the following steps: S110, acquire the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device.

[0018] S120, constructs a multi-bow coupling perturbation function based on the bow-catenary state sequence and generates a set of perturbation distributions.

[0019] S130, perform reconstruction processing on the phase splitting device according to the disturbance distribution set to obtain dynamic negative sag parameters.

[0020] S140, based on the dynamic negative sag parameter and the set of geometric parameters, performs space curve reconstruction processing to obtain the target set of geometric parameters.

[0021] S150 performs construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and tension parameter set.

[0022] S160: Perform a perturbation consistency check based on the updated second bow-catenary state sequence, perform reverse correction on the dynamic negative sag parameter according to the check result, and output the verification result when the preset conditions are met.

[0023] In one possible implementation, a multi-bow coupled perturbation function is constructed based on the bow-net state sequence, and a perturbation distribution set is generated. Specifically, this includes: performing bow-specific decoupling and spatiotemporal registration processing on the first bow-net state sequence to obtain a single-bow response sequence; performing baseline normalization and perturbation component extraction processing on the single-bow response sequence to obtain a perturbation component sequence; performing inter-bow propagation correlation analysis based on the perturbation component sequence to determine the optimal spatial lag and complete propagation compensation alignment to obtain a compensated perturbation component sequence; performing multi-physical quantity weighted fusion based on the compensated perturbation component sequence to form a comprehensive perturbation intensity; performing phase extraction and phase difference aggregation based on the perturbation component sequence to obtain a phase consistency index; constructing a multi-bow coupled perturbation function based on the comprehensive perturbation intensity, phase consistency index, and propagation correction factor; and performing spatial segmentation and attribute binding based on the multi-bow coupled perturbation function to form a perturbation distribution set.

[0024] Specifically, the contact force timing, pantograph head vertical displacement timing, pantograph head acceleration timing, offline event identifier, passing speed parameters, and phase-splitting device spatial position identifier in the first pantograph-catenary state sequence are first uniformly read. Then, pantograph decoupling processing is performed on all sampling records according to the pantograph number, so that the response data corresponding to the front pantograph, rear pantograph, and other pantographs are respectively assigned to their respective single-pantograph data channels. Pantograph decoupling refers to separating the responses of multiple pantographs originally mixed in the same train operation record into multiple independent single-pantograph response sequences based on pantograph position identifier, sampling trigger time, and spatial passing order, avoiding mutual contamination between front and rear pantograph signals in subsequent processing. After pantograph decoupling, spatiotemporal registration processing is performed based on passing speed parameters and phase-splitting device spatial position identifiers. Spatiotemporal registration refers to mapping the sampling points on the original time axis to a unified spatial coordinate axis along the line direction of the phase-splitting device, so that the responses of different pantographs when passing the same phase-splitting device position can be compared at the same spatial location, rather than being roughly compared at different time points. The reason is that there is a natural time delay when the front and rear bows pass through the same location. If this delay is not eliminated, the difference caused by the order of spatial passage will be mistaken for a difference in perturbation. The spatial mapping can be established by the following formula:

[0025]

[0026] Where s(t) represents the spatial location corresponding to time t. Indicates the start time The corresponding initial spatial position is taken as the inlet position of the phase-splitting device or the starting position of the preset buffer section before the inlet. Indicates time The passing speed parameter can be obtained from a speed measuring device or train operation records, where t represents the current sampling time. This represents the intermediate time variable during the integration process. This expression converts each time sampling point into a spatial sampling point, thus forming a single-panel response sequence unfolding along the length of the phase-splitting device. A single-panel response sequence refers to a response sequence corresponding to only one pantograph, where all sampling points have been mapped to a unified spatial coordinate system; all subsequent disturbance analyses are performed on this sequence.

[0027] After obtaining the single-panel response sequence, baseline normalization and disturbance component extraction are performed on each single-panel response sequence. Baseline normalization refers to eliminating the differences in static bias and overall amplitude under different pantographs, different operating batches, and different sampling periods, so that subsequent analysis focuses on the dynamic fluctuations caused by the local geometry of the phase-splitting device, contact state, and multi-panel propagation, rather than the influence of average current collection level and sensor zero drift. Typically, the slow-varying trend component is first extracted from the single-panel response sequence, and then the trend component is subtracted from the original response to obtain the disturbance component. Here, the disturbance component refers to the local dynamic change relative to the slow-varying baseline, which can characterize phenomena such as hard point impact, transition irregularities, wave propagation, and short-term offline phenomena. To further eliminate the magnitude differences between different physical quantities, the extracted disturbance component can also be standardized to make contact force disturbance, displacement disturbance, and acceleration disturbance within a comparable range. The disturbance component can be calculated using the following formula:

[0028]

[0029] in, This represents the disturbance component of the m-th pantograph at spatial position s. This represents the initial response value of the m-th pantograph at spatial position s, which can correspond to any of the physical quantities among contact force, vertical displacement of the pantograph head, or pantograph head acceleration. This represents the baseline component of the m-th pantograph at spatial location s, typically obtained through moving average, local polynomial fitting, or low-frequency trend extraction. Here, m represents the pantograph number, and s represents the spatial location of the phase separator. This expression isolates the slowly varying average current collection state from the original response, retaining only the highly variable components related to local disturbances. After this processing, the resulting disturbance component sequence is a dynamic disturbance record arranged spatially, which can be directly used for subsequent propagation and phase analysis.

[0030] After obtaining the disturbance component sequence, inter-panel propagation correlation analysis is performed to determine the optimal spatial lag and complete propagation compensation alignment, focusing on the wave propagation relationship between pantographs. Inter-panel propagation correlation analysis involves searching for the best-matching spatial shift between the disturbance component sequences of two different pantographs, ensuring that the wave excited by the front pantograph, after propagation through the contact line, is spatially aligned as much as possible with the disturbance sensed by the rear pantograph. The optimal spatial lag is the spatial offset value within a preset search range that maximizes the similarity between the two disturbance component sequences; it essentially reflects the propagation distance characteristics when the disturbance from the front pantograph reaches the action position of the rear pantograph. Propagation compensation alignment uses this optimal spatial lag to spatially correct the disturbance component sequences of subsequent pantographs, ensuring that different pantographs fall into the same spatial position as much as possible when reflecting the same structural disturbance. This process explicitly separates the coupling relationship between the front pantograph excitation, contact line propagation, and rear pantograph re-excitation, avoiding misjudging propagation delay as geometric error. The propagation correlation can be calculated using the following formula:

[0031]

[0032] in, This indicates that the spatial lag between the i-th pantograph and the j-th pantograph is (the value is missing from the original text). The propagation correlation is measured in terms of time, with a value ranging from [-1, 1]. The closer the value is to 1, the higher the consistency of the disturbance propagation between the two pantographs. This represents the disturbance component of the i-th pantograph at spatial position s. This indicates that the j-th pantograph is in translation. The subsequent perturbation components, This represents the lag in the candidate space. and Indicates the start and end spatial locations of the propagation analysis segment. For different... After scanning, the results can be retrieved. The maximum time corresponding This serves as the optimal spatial lag. Subsequently, this optimal spatial lag is used to align and compensate the disturbance component sequence of the subsequent pantograph, forming a compensated disturbance component sequence. The compensated disturbance component sequence refers to the disturbance component sequence that has eliminated the influence of inter-pantograph propagation delay and can reflect the same structural disturbance at the same spatial location.

[0033] After obtaining the compensated disturbance component sequence, multi-physical quantity weighted fusion processing is performed on the disturbance components of different physical quantities to form a comprehensive disturbance intensity. Multi-physical quantity weighted fusion refers to combining contact force disturbance, bow head vertical displacement disturbance, and bow head acceleration disturbance according to a unified rule into a single intensity index, thereby simultaneously reflecting the flow impact, geometric fluctuation response, and high-frequency vibration response within a scalar space. The reason for multi-physical quantity weighted fusion is that using contact force disturbance alone only reflects flow changes, using displacement disturbance alone only reflects geometric following characteristics, and using acceleration disturbance alone is more biased towards impact strength; each of these is one-sided, and only after fusion can a comprehensive characterization of the disturbance degree of the phase-splitting device be formed. The comprehensive disturbance intensity can be calculated using the following formula:

[0034]

[0035] Where I(s) represents the overall disturbance intensity at spatial location s, with a larger value indicating a stronger overall disturbance at that location, and M represents the number of pantographs involved in the analysis. This represents the contribution weight of the m-th pantograph, and its value is a number greater than 0. The sum of the contribution weights of all pantographs is 1. This represents the compensating contact force disturbance component of the m-th pantograph at spatial position s. This represents the compensated vertical displacement disturbance component of the m-th pantograph at spatial position s. This represents the compensated acceleration disturbance component of the m-th pantograph at spatial position s. , , This represents the fusion weighting coefficient of the three types of physical quantities, used to adjust the degree of influence of different physical quantities on the overall disturbance intensity. Here, the overall disturbance intensity is a spatially continuous function that can describe the distribution of disturbance strength at different locations along the length of the phase-splitting device, and is an important component for subsequently constructing the multi-arch coupling disturbance function.

[0036] While forming the overall disturbance intensity, phase extraction and phase difference aggregation are also required based on the disturbance component sequence to obtain a phase consistency index. Phase extraction refers to identifying the phase position of the dominant vibration component in the local spatial neighborhood from the disturbance component sequence, reflecting the relative order of the peaks and valleys of disturbances from different pantographs. Phase difference aggregation refers to statistically analyzing and fusing the phase differences between multiple pantographs to obtain a unified phase consistency index, which is used to characterize whether the responses of different pantographs at the same spatial location are synchronized. If multiple pantographs have high phase consistency at a certain location, it indicates that the disturbance propagation law at that location is relatively stable; if the phase consistency is low, it indicates that there may be multi-pantograph response mismatch, local resonance, or coupling disorder caused by uneven transition curves at that location. The phase consistency index can be calculated using the following formula:

[0037]

[0038] in, The phase consistency index represents the phase at spatial location 's', with a value ranging from 0 to 1. The closer the value is to 1, the more consistent the phase of each pantograph at that location. This represents the dominant perturbation phase of the i-th pantograph at spatial location s. This represents the dominant perturbation phase of the j-th pantograph at spatial location s. This indicates the phase difference between the two pantographs. Used to normalize the phase difference to a standard range, M represents the number of pantographs involved in the analysis. The essence of this index is to evaluate the consistency of multi-pantograph responses using the phase difference between all pantographs, to compensate for the deficiency that the comprehensive disturbance intensity only reflects the amplitude and not the synchronicity.

[0039] After obtaining the comprehensive disturbance intensity and phase consistency index, a multi-panel coupling disturbance function is constructed by combining the propagation correction factor. The propagation correction factor is a correction amount used to characterize the residual influence of the disturbance generated by the front pantograph propagating along the contact line to the current spatial position. Its value can be determined based on the optimal spatial lag, line attenuation characteristics, and velocity parameters. The multi-panel coupling disturbance function is a unified functional expression of the comprehensive disturbance state of multiple pantographs at various spatial positions of the phase-splitting device. It simultaneously reflects three types of information: disturbance amplitude, phase coupling, and propagation residue. It can describe where the disturbance is strong and whether the strong disturbance is accompanied by significant inter-panel asynchrony and propagation amplification. The multi-panel coupling disturbance function can be constructed using the following formula:

[0040]

[0041] in, This represents the value of the multi-arch coupling perturbation function at spatial location s. This represents the overall disturbance intensity at spatial location s. The phase consistency index represents the spatial location s. This represents the phase mismatch amplification factor, used to control the degree to which phase inconsistency amplifies coupled disturbances. The propagation correction factor at spatial location 's' reflects the impact of the residual propagation of the disturbance on the current spatial location. This expression shows that when the combined disturbance intensity is large, the phase consistency is poor, and the propagation residual is still significant, the multi-bow coupling disturbance function value increases significantly, indicating that this location is more likely to be the focus of subsequent dynamic negative sag reconstruction and geometric correction. Therefore, the multi-bow coupling disturbance function becomes an important bridge between pantograph-catenary detection data and geometric correction parameters.

[0042] After constructing the multi-bow coupling perturbation function, spatial segmentation and attribute binding are performed along the spatial axis of the phase-splitting device to form a perturbation distribution set. Spatial segmentation refers to dividing the entire phase-splitting device into several perturbation segments based on the peak position, gradient change, width range, and function energy distribution of the multi-bow coupling perturbation function. Each perturbation segment corresponds to a relatively concentrated spatial continuous region in terms of perturbation characteristics. Attribute binding refers to associating and storing information such as the structural location identifier, peak perturbation intensity, average perturbation intensity, peak position, segment length, phase consistency level, and propagation correction degree of each perturbation segment with its spatial range. The structural location identifier is a unified mark for specific parts of the phase-splitting device, such as the first-end joint area, the middle slide area, the insulation transition area, the end joint area, and the adjacent dropper area, used to implement the abstract perturbation analysis results to the actual component locations. The resulting perturbation distribution set is no longer a single curve, but a set structure composed of multiple perturbation segments with attribute information. Each perturbation segment can serve as the direct object of subsequent dynamic sag parameter reconstruction and spatial curve reconstruction. If the structural location marker of a disturbance section corresponds to the first-end joint area, subsequent corrections can be prioritized for the first-end transition amount and smoothing length. If a disturbance section corresponds to the middle sliding track area, subsequent corrections can be prioritized for the middle main correction amount and the middle lifting trend. If a disturbance section corresponds to an adjacent dropper area, subsequent corrections also need to be combined with tension distribution to apply linkage constraints to the dropper adjustment amount. Thus, the disturbance distribution set not only completes the spatial representation of multi-bow coupling disturbances but also provides clear spatial objectives and attribute basis for all subsequent parameter reconstruction and construction control steps.

[0043] In one possible implementation, parameter reconstruction processing is performed on the phase-splitting device based on the disturbance distribution set to obtain dynamic negative sag parameters. Specifically, this includes: performing structural position mapping processing on the disturbance distribution set to form a disturbance constraint set; constructing an initial negative sag curve based on the geometric parameter set; constructing a disturbance-driven correction field based on the disturbance constraint set; generating a partitioned negative sag correction strategy and forming a dynamic negative sag correction template based on the disturbance-driven correction field; generating a target negative sag increment curve based on the dynamic negative sag correction template and the disturbance-driven correction field; constructing candidate dynamic negative sag curves based on the initial negative sag curve and the target negative sag increment curve; calculating the target guide height curve based on the candidate dynamic negative sag curves; performing implementation screening based on the target guide height curve to form a target dynamic negative sag curve; and performing discrete parameterization processing on the target dynamic negative sag curve to generate a dynamic negative sag parameter set.

[0044] Specifically, a structural position mapping process is first performed on the disturbance distribution set to establish a definite correspondence between each disturbance segment in the disturbance distribution set and the actual structural segment of the phase-splitting device, thereby forming a disturbance constraint set. Here, the disturbance distribution set refers to a set structure composed of multiple disturbance segments and their attribute combinations obtained by dividing the multi-bow coupling disturbance function along spatial locations. Each disturbance segment includes at least the start and end positions, peak position, peak disturbance intensity, average disturbance intensity, phase consistency level, propagation correction degree, and disturbance level identifier. The structural position mapping refers to mapping the disturbance segment to one or more structural segments among the first-end joint area, middle slide area, insulation transition area, end joint area, and adjacent dropper area, based on the spatial range and peak landing point of the disturbance segment. This transforms the subsequent negative sag correction from an abstract disturbance level into a geometric adjustment requirement oriented towards the specific component location. During the mapping process, when a perturbation segment falls entirely within a single structural segment, all attributes of that perturbation segment are directly assigned to the corresponding structural segment. When a perturbation segment spans two adjacent structural segments, the attributes are allocated according to the proportion of coverage length, peak location attribution, and propagation direction weights, allowing different structural segments to inherit their respective perturbation attributes. The resulting set of perturbation constraints serves as an intermediate data structure that transforms perturbation information into geometric reconstruction constraints. Its role is to provide a clear source, target, and priority for subsequent negative sag correction at each spatial location.

[0045] After forming the disturbance constraint set, an initial negative sag curve is constructed based on the geometric parameter set. The geometric parameter set here refers to all parameters related to the spatial morphology of the phase-splitting device in its current state, including at least the elevation of the first-end positioning point, the elevation of the last-end positioning point, the elevation of the key suspension point, the elevation of the joint area, the elevation of the slide area, the pull-out value parameters, and the spatial position of each measuring point. The initial negative sag curve refers to the actual sag distribution curve exhibited by the phase-splitting device relative to the reference elevation curve formed by the first and last positioning points before disturbance correction. Its construction process first establishes a reference elevation curve based on the elevations of the first and last positioning points, then maps the actual elevation values ​​of each discrete measuring point of the phase-splitting device onto a unified spatial coordinate axis, and obtains a continuous actual elevation curve through interpolation fitting. Finally, the reference elevation curve is subtracted from the actual elevation curve point by point to obtain the initial negative sag curve. Figure 2 Its expression is:

[0046]

[0047] in, This represents the initial negative sag value at spatial location s. The reference guide height value at spatial position 's' is formed by interpolating the guide heights of the first and last positioning points along the length of the phase-splitting device. This represents the actual guide height value at spatial location s. The actual guide height value is obtained by interpolation or fitting from the guide heights of discrete measurement points. This represents the spatial coordinates of the phase-splitting device along the line direction. The principle behind this expression is to uniformly transform the actual spatial geometry into a droop expression relative to the boundary reference, so that all subsequent corrections can be carried out around the same reference curve.

[0048] After obtaining the initial negative sag curve, a perturbation-driven correction field is constructed based on the perturbation constraint set. This perturbation-driven correction field refers to a correction intensity function continuously distributed along the spatial axis of the phase splitting device. It is used to uniformly convert the local impact information, persistent perturbation information, phase mismatch information, propagation residual information, and risk level information in the perturbation constraint set into a driving force for increasing or decreasing the negative sag. During construction, various attributes in the perturbation constraint set are first expanded into continuous fields distributed along spatial locations. For example, the peak perturbation intensity is expanded into a peak perturbation intensity distribution, the average perturbation intensity into an average perturbation intensity distribution, and the phase consistency level into a phase mismatch distribution. These are then combined with the propagation correction degree and the perturbation level quantification value to form a single correction field function, as shown in the reference... Figure 2 Its expression is:

[0049]

[0050] in, This represents the disturbance-driven correction value at spatial location s. This represents the peak disturbance intensity distribution at spatial location s. This represents the average disturbance intensity distribution at spatial location s. The phase consistency index represents the spatial location s. This indicates the degree of propagation correction at spatial location s. This represents the quantized value of the disturbance level at spatial location s. , , , , This represents the correction weighting coefficient for each disturbance factor. The principle behind this expression is to project disturbance constraints from different sources and with different physical meanings into a unified correction space, so that the negative sag correction not only responds to single-point peak values, but also takes into account the segment-average disturbance, the degree of inter-bow phase synchronization, and the propagation effect.

[0051] After constructing the disturbance-driven correction field, a partitioned negative sag correction strategy is generated based on the disturbance-driven correction field, forming a dynamic negative sag correction template. The partitioned negative sag correction strategy here refers to defining different negative sag correction rules for the initial transition zone, the middle main correction zone, and the final transition zone according to the functional differences of different structural sections of the phase-splitting device. The initial transition zone mainly undertakes the smooth introduction during the bow entry stage; therefore, the correction focus is on reducing local slope abrupt changes and extending the smooth transition length. The middle main correction zone mainly undertakes the main reduction of multi-bow coupling disturbances; therefore, the correction focus is on adjusting the middle lift and the overall large arc curvature. The final transition zone mainly undertakes the release of fluctuations during the bow exit stage; therefore, the correction focus is on weakening the tail reflection disturbance and restoring a smooth transition. The dynamic negative sag correction template here refers to the template structure formed after parameterizing the above partitioned correction strategy, which includes at least the initial transition correction gain, the middle main correction gain, the final transition correction gain, the initial smoothing length, the middle smoothing length, and the final smoothing length. When the template is formed, the statistical characteristics of the disturbance-driven correction field in different structural segments are considered together with the geometric adjustment capability of the corresponding structural segments, thereby providing partition weights and smoothing scales for the subsequent generation of negative sag increments. This ensures that the same disturbance level produces different correction effects in different structural segments, and that the correction directions at the beginning, middle, and end are consistent with the engineering mechanism.

[0052] After forming the dynamic negative dodge correction template, a target negative dodge increment curve is generated based on the template and the perturbation-driven correction field. This target negative dodge increment curve refers to the amount of negative dodge that needs to be increased or decreased at each spatial location relative to the initial negative dodge curve. During generation, the amplitude correction gain in the dynamic negative dodge correction template is mapped to spatially location-related amplitude weights, and the smoothing length is mapped to spatially location-related gradient smoothing weights. Then, the perturbation-driven correction field and its spatial rate of change are substituted into the template to obtain the target negative dodge increment, which balances the correction amplitude and curve smoothness. Figure 2 Its expression is:

[0053]

[0054] in, This represents the target negative sag increment value at spatial location s. The magnitude correction weight at spatial location s is determined by the partition correction gain in the dynamic negative sag correction template. This represents the disturbance-driven correction value at spatial location s. The gradient smoothing weights at spatial location s are determined by the partition smoothing length in the dynamic negative sag correction template. This represents the rate of change of the correction field driven by the disturbance along its spatial location. The principle behind this expression is that a portion of the correction is directly used to adjust the magnitude of the local droop, while another portion is used to suppress local inflection points caused by excessively rapid correction, thereby weakening the disturbance while maintaining a smooth curve.

[0055] After obtaining the target sag increment curve, candidate dynamic sag curves are constructed based on the initial sag curve and the target sag increment curve. Here, the candidate dynamic sag curve refers to the new sag distribution curve obtained by superimposing the original sag distribution with the disturbance-induced correction, reflecting the sag shape that the phase-splitting device should exhibit under the current reconfiguration. During construction, the initial sag curve and the target sag increment curve are superimposed point-by-point according to a unified spatial coordinate system to obtain candidate results that have not undergone implementation screening, referring to… Figure 2 Its expression is:

[0056]

[0057] in, This represents the candidate dynamic negative sag value at spatial location s. This represents the initial negative sag value at spatial location s. This represents the target negative sag increment at spatial location s. The principle behind this expression is to preserve the boundary consistency and original geometric foundation of the initial negative sag curve, while simultaneously incorporating corrections for the perturbation distribution set. This ensures that the new negative sag distribution both conforms to the original installation conditions and possesses the ability to actively suppress multi-bow coupling perturbations. To prevent over-correction of the candidate dynamic negative sag curve at locally high perturbation locations, continuity constraints and curvature smoothing constraints can be further applied, but this does not change its status as a candidate result.

[0058] After obtaining the candidate dynamic negative sag curves, the target elevation curve is calculated based on them. The target elevation curve here refers to the spatial geometric height distribution curve that corresponds one-to-one with the candidate dynamic negative sag curve, and is also the target object that can be directly measured and controlled during subsequent construction. Since negative sag is essentially the difference between the reference elevation and the actual elevation, the calculation process is achieved by subtracting the candidate dynamic negative sag curve from the reference elevation curve. Figure 2 Its expression is:

[0059]

[0060] in, This represents the target elevation value at spatial location s. This represents the reference guide height value at spatial location s. This represents the candidate dynamic negative sag value at spatial location s. The principle behind this expression is to convert the correction result for the degree of sag back into the control requirements for the actual spatial curve height, so that subsequent construction can be directly executed around the guide height parameter, the adjustment amount of the dropper, and the offset of the positioning point, without the need to directly operate the abstract negative sag function on site.

[0061] After obtaining the target guide height curve, a feasibility screening is performed based on the target guide height curve to form the target dynamic negative sag curve. This feasibility screening refers to verifying the feasibility of the target guide height curve based on four categories of conditions: geometric boundaries, structural fit, tension coordination, and on-site adjustment capability. Geometric boundary conditions are used to check whether the guide height changes at the beginning and end interfaces remain within the allowable range to avoid disrupting existing interface relationships. Structural fit conditions are used to check whether the slope and curvature of the guide height curve in the beginning joint area, middle slide area, and end joint area match the corresponding structural form. Tension coordination conditions are used to determine whether changes in the target guide height will cause sudden changes in local tension or imbalance in the force on adjacent droppers, based on the tension parameter set. On-site adjustment capability conditions are used to determine whether the adjustable range of key dropper points and positioning points is sufficient to achieve the target guide height offset. If the target guide height change in a certain spatial segment exceeds the dropper adjustment capability, the correction amount for that segment is limited. If the guide height change in a certain segment is achievable but introduces an overly steep transition, a pullback is performed by increasing the smoothing length or reducing the local correction gain. Only the results retained after screening are recognized as target dynamic sag curves that can be used for subsequent spatial curve reconstruction and construction adjustments. The target dynamic sag curve here refers to a dynamic sag distribution curve that meets both the disturbance convergence requirements and the actual engineering implementation conditions.

[0062] After forming the target dynamic sag curve, the target dynamic sag curve is discretized and parameterized to generate a set of dynamic sag parameters. This discretization and parameterization process involves converting the continuous target dynamic sag curve into a finite number of key control parameters, adapting it to the construction site's execution method where key locations serve as control units. Because the construction site does not directly adjust the continuous curve, but rather gradually achieves the target curve through finite control locations such as the initial positioning point, the final positioning point, each key dropper point, joint points, and the midpoint of the slide, it is necessary to extract representative parameters from these locations on the target dynamic sag curve. The generated set of dynamic sag parameters includes at least the initial transition correction, the middle main correction, the final transition correction, the initial smoothing length, the middle smoothing length, the final smoothing length, and the target guide height offset for each key dropper point. Here, the target guide height offset refers to the guide height value that should be increased or decreased at the key location relative to the original state; the initial transition correction, the middle main correction, and the final transition correction represent the main correction magnitude of the sag in the three structural sections, respectively; and the smoothing length represents the range of the correction's spatial extension. Through discrete parameterization, the continuous curve is transformed into a parameter form that can be directly used for subsequent spatial curve reconstruction, construction replacement, and iterative adjustment control. This enables the dynamic negative sag reconstruction results to form a one-to-one closed-loop relationship with actual engineering operations, subsequent pantograph-catenary condition remeasurement, and reverse correction processes.

[0063] In one possible implementation, a spatial curve reconstruction process is performed based on a dynamic negative sag parameter and a set of geometric parameters to obtain a target set of geometric parameters. Specifically, this includes: constructing an initial geometric curve based on the set of geometric parameters; generating a negative sag correction distribution function based on the dynamic negative sag parameter set; performing spatial superposition processing based on the initial geometric curve and the negative sag correction distribution function to generate candidate spatial curves; performing boundary constraint processing on the candidate spatial curves to form a target spatial curve; and performing an inversion update process on the set of geometric parameters based on the target spatial curve to form the target set of geometric parameters.

[0064] Specifically, an initial geometric curve is first constructed based on the set of geometric parameters, transforming the actual spatial morphology of the phase-splitting device in its current state from a discrete measurement point representation to a continuous curve representation. The set of geometric parameters here refers to the set of parameters directly related to the spatial morphology of the phase-splitting device, including at least the elevation of the first-end positioning point, the elevation of the last-end positioning point, the elevation of the joint area, the elevation of the slide area, the elevation of the insulation transition area, the elevation of each key suspension point, the pull-out value parameter, and the corresponding spatial position parameter. The initial geometric curve refers to the actual elevation distribution curve of the phase-splitting device recovered from the set of geometric parameters before applying dynamic negative sag correction. In the specific processing, all elevation measurement points are first mapped to a unified spatial coordinate axis. Then, based on the density of measurement points and the requirements for curve smoothness, piecewise cubic interpolation, spline fitting, or local polynomial fitting methods are used to construct a continuous elevation function covering the entire length range from the first end to the last end. If the set of geometric parameters also includes the pull-out value parameter, the elevation direction curve and the lateral offset curve can be jointly represented as a spatial curve, where the elevation direction describes the vertical geometric morphology, and the lateral offset direction describes the lateral position of the contact wire relative to the center of the line. To ensure that the initial geometric curve accurately reflects the current installation status, abnormal measurement points need to be removed or smoothed out to prevent individual measurement errors from being amplified during curve construction. The initial geometric curve can be represented as:

[0065]

[0066] in, This represents the initial guide height value at spatial location s. This expression represents a fitting operator that constructs a continuous curve from a set of geometric parameters, where G represents the set of geometric parameters and s represents the spatial coordinates of the phase-splitting device along the line direction. The principle behind this expression is that the fitting operator restores discrete measurement points to a continuous geometric curve, enabling subsequent negative sag corrections to be applied to continuous spatial objects rather than scattered local points.

[0067] After constructing the initial geometric curve, a negative sag correction distribution function is generated based on the dynamic negative sag parameter set, transforming the discrete negative sag correction command into a continuous spatial correction function. The dynamic negative sag parameter set refers to the parameter set output by the preceding dynamic negative sag reconstruction step, including at least the initial transition correction, the middle main correction, the final transition correction, the initial smoothing length, the middle smoothing length, the final smoothing length, and the target guide height offset for each key suspension point. The negative sag correction distribution function is a correction function continuously distributed along the spatial axis of the phase-splitting device, used to characterize the degree of negative sag correction applied to the initial geometric curve at each spatial location. Specifically, during generation, local correction sub-functions are first constructed based on the corresponding action segment and action center of each parameter in the dynamic negative sag parameter set. Then, multiple local correction sub-functions are combined into an overall correction function through weighted superposition. Local correction sub-functions can be constructed using Gaussian kernel functions, piecewise spline functions, or tightly supported basis functions, ensuring that the influence of a single parameter covers its own segment without infinitely spreading to irrelevant segments. If a parameter belongs to the initial transition correction, its function is mainly distributed in the initial joint area and its adjacent transition range; if a parameter belongs to the middle main correction, its function is mainly concentrated in the middle slide area and insulation transition area. The negative sag correction distribution function can be expressed as:

[0068]

[0069] in, This represents the negative sag correction value at spatial location s. This represents the correction amount corresponding to the k-th dynamic sag parameter. Let N represent the action function of the k-th dynamic negative sag parameter at spatial location s, and N represent the number of dynamic negative sag parameters. The principle behind this expression is that each discrete parameter is regarded as a local correction source, and then the discrete source is extended into a continuous distribution through the action function, so that the final correction function retains both parameter controllability and curve continuity.

[0070] After obtaining the negative sag correction distribution function, spatial superposition processing is performed based on the initial geometric curve and the negative sag correction distribution function to generate candidate spatial curves. This spatial superposition processing refers to synthesizing the initial geometric curve and the negative sag correction distribution function point by point under a unified spatial coordinate axis, so that the initial spatial shape is continuously adjusted according to the requirements of the dynamic negative sag parameters. The candidate spatial curve refers to the spatial geometric curve obtained through mathematical superposition before applying boundary constraints and engineering feasibility checks; it is the precursor to the target spatial curve. Specifically, if a positive value of the negative sag correction distribution function indicates an increase in conduction height, the initial conduction height curve is raised during superposition; if a negative value indicates a decrease in conduction height, the initial conduction height curve is lowered during superposition. Since the spatial shape of the phase separation device requires not only continuous conduction height distribution but also smooth curvature changes along the beginning, middle, and end points, local smoothing processing can be applied after superposition to weaken the minor fluctuations caused by the superposition of multiple correction sub-functions. The candidate spatial curve can be represented as:

[0071]

[0072] in, This represents the candidate guide height value at spatial location s. This represents the initial guide height value at spatial location s. This represents the negative sag correction value at spatial location s. The principle behind this expression is that, using the initial geometric curve as the original spatial basis and the negative sag correction distribution function as the spatial correction increment, a new spatial form is obtained through point-by-point superposition, thereby realizing the reconstruction of the spatial curve driven by the dynamic negative sag parameter.

[0073] After generating candidate spatial curves, boundary constraint processing is applied to them to form the target spatial curve. This boundary constraint processing involves applying start-end boundary conditions, end-end boundary conditions, transition continuity conditions, and safety envelope conditions to the candidate spatial curves. This ensures that the reconstructed curve not only meets disturbance correction requirements but also satisfies the actual installation and operation constraints of the phase-separating device. Start-end boundary conditions typically require the lead height of the start-end positioning point to remain continuous with the existing contact wire interface or within the allowable deviation range. End-end boundary conditions typically require the lead height of the end positioning point to smoothly connect with the geometry of adjacent sections. Transition continuity conditions require at least slope continuity between the joint area, slide area, and insulation transition area, and, if necessary, smooth curvature changes. Safety envelope conditions require the entire curve not to exceed the upper and lower limits of lead height and the allowable lateral offset range. In practice, the candidate spatial curves can be input into an optimization model with boundary conditions. By minimizing the combined objective of curve deviation and curve unsmoothness before and after correction, the final curve satisfying the constraints is obtained. If the local correction amount at the start or end is too large, leading to interface mismatch, the smoothing length and correction gain of the corresponding section are adjusted first, without directly destroying the boundary points. The target space curve can be obtained through the following constraint optimization form:

[0074]

[0075]

[0076] in, Let H(s) represent the target elevation at spatial location s, and let H(s) represent the constrained spatial curve to be determined. This represents the candidate guide height value at spatial location s. This represents the smoothing constraint weighting coefficient, used to balance the degree to which the curve closely approximates the candidate curve and the smoothness of the curve; L represents the total length of the phase separation device. Indicates the guide height value at the beginning boundary. Indicates the guide height value at the end boundary. and Let represent the lower and upper limits of the allowable guide height at spatial location s, respectively. The principle behind this expression is that by simultaneously satisfying geometric proximity, curve smoothness, and boundary safety through constraint optimization, the candidate results obtained from mathematical superposition are transformed into a practically usable target space curve.

[0077] After obtaining the target space curve, an inversion update process is performed on the geometric parameter set based on the target space curve to form the target geometric parameter set. This inversion update process refers to re-discretizing the continuous target space curve onto specific control points, measuring points, and structural nodes, enabling subsequent construction replacements and parameter verifications to be implemented directly around a finite number of control parameters. The target geometric parameter set refers to a discrete parameter set consistent with the target space curve, including at least the target elevation of the initial positioning point, the target elevation of the final positioning point, the target elevation of each key dropper point, the target elevation of the joint area, the target elevation of the slide area, the target elevation of the insulation transition area, and the corresponding target pull-out value parameters. Specifically, according to the measuring point and control point positions in the original geometric parameter set, the target elevation values ​​at the corresponding spatial positions are extracted from the target space curve. Then, the relevant pull-out value parameters and transition parameters are updated based on the local slope and lateral offset distribution of the target space curve. If the target space curve is expressed in two-dimensional or three-dimensional space, the lateral offset and local tangent direction of the corresponding points should also be extracted from the curve to update the positioning point position parameters and structural transition parameters. Its update method can be represented as:

[0078]

[0079] in, Represents the set of target geometric parameters. This represents the update operator for inverting discrete parameters from the target space curve. Represents the target space curve. This represents a predefined set of control point locations and a set of measuring point locations. The principle behind this expression is to reproject the target state on a continuous spatial curve onto discrete locations used in actual construction and testing, transforming the spatial curve results into explicit parameter values ​​at the beginning, middle, end, and each dropper control point. Through this process, the spatial curve reconstruction result is ultimately solidified into a set of target geometric parameters, which can then be directly used for subsequent construction replacements, iterative adjustments, control, and operational verification.

[0080] In one possible implementation, before performing construction replacement and iterative adjustment control on the phase-separating device based on the target geometric parameter set and tension parameter set, the method further includes: performing unified index extraction and normalization processing on the target geometric parameter set, dynamic negative sag parameter set, tension parameter set, and the first pantograph-catenary state sequence to obtain an initial deviation index set; performing spatial distribution modeling based on the initial deviation index set to obtain a segment deviation distribution function; performing deviation evolution trend analysis based on the segment deviation distribution function to obtain a deviation evolution gradient set; and performing multi-index coupling convergence calculation based on the deviation evolution gradient set and the segment deviation distribution function to obtain... The process involves: 1) Implementing a comprehensive convergence function; 2) Performing convergence state partitioning based on the comprehensive convergence function to generate convergence state partitioning results; 3) Performing key segment identification based on the convergence state partitioning results to generate a key constraint set; 4) Performing convergence driving capability evaluation based on the key constraint set to generate parameter adjustment capability evaluation results; 5) Performing dynamic threshold adjustment based on the parameter adjustment capability evaluation results to generate an adaptive convergence judgment threshold; 6) Performing global convergence judgment based on the comprehensive convergence function and the adaptive convergence judgment threshold to generate a convergence judgment result; 7) Using the convergence judgment result as the trigger for construction replacement and iterative adjustment control when the preset conditions are met.

[0081] Specifically, a unified index extraction and normalization process is first performed on the target geometric parameter set, dynamic negative sag parameter set, tension parameter set, and the first bow-catenary state sequence to obtain an initial deviation index set. The unified index extraction here refers to extracting characteristic indicators from data from different sources that can jointly characterize the difference between the current adjustment state and the target state, and mapping these characteristic indicators to a unified spatial coordinate axis and a unified statistical window. The target geometric parameter set mainly provides geometric indicators such as guide height deviation, pull-out value deviation, and key structure position deviation; the dynamic negative sag parameter set mainly provides negative sag indicators such as end transition correction deviation, middle main correction deviation, end transition correction deviation, and smoothing length deviation; the tension parameter set mainly provides force indicators such as contact line tension deviation, segment tension gradient deviation, and key dropper force deviation; the first bow-catenary state sequence mainly provides operational indicators such as contact force deviation, displacement deviation, acceleration deviation, offline event deviation, and multi-bow disturbance deviation. The normalization process here refers to converting indicators with different physical meanings and numerical ranges to a unified numerical interval, so that subsequent convergence calculations can be performed on the same scale. The normalized initial deviation index can be expressed as:

[0082]

[0083] in, This represents the normalized value of the i-th type of deviation index at spatial location s. This represents the original value of the i-th type of deviation index at spatial location s. This represents the reference minimum value of the i-th type of deviation index. This represents the reference maximum value of the i-th type of deviation index. The principle behind this expression is to uniformly compress all deviation indices into a comparable range, thereby avoiding imbalances in subsequent coupling due to differences in dimensions and magnitudes between guide height deviation, tension deviation, and pantograph-catenary deviation. After processing, the initial set of deviation indices becomes the basic input for subsequent convergence judgment.

[0084] After obtaining the initial set of deviation indices, spatial distribution modeling is performed based on this set to obtain the segment deviation distribution function. Spatial distribution modeling here refers to mapping the deviation values ​​discretely distributed at each measuring point, control point, and event point in the initial set of deviation indices to a deviation distribution function that continuously varies along the spatial position of the phase-splitting device. Specifically, the phase-splitting device is first structurally divided into the initial, middle, and final segments. Then, within each segment, interpolation fitting and segment smoothing are performed on geometric deviations, negative sag deviations, tension deviations, and pantograph-catenary deviations, thereby forming multiple types of segment deviation distribution functions. The segment deviation distribution function here refers to the functional expression of a certain type of deviation index continuously varying with spatial position within a certain segment. It can simultaneously reflect the magnitude of the deviation and the degree of spatial concentration. If only a single average value is used for description, the location of local high deviations is easily masked by the global mean. Therefore, it is necessary to construct a segment deviation distribution function to give the convergence judgment spatial resolution. The segment deviation distribution function can be expressed as:

[0085]

[0086] in, This represents the segmental deviation distribution function value of the i-th type of deviation index at spatial location s. The corresponding spatial modeling operator can be represented by spline fitting, local regression, or kernel smoothing methods. This represents the normalized value of the i-th type of deviation index at spatial location s. After this processing, the discrete deviation data is transformed into a continuous spatial deviation expression, laying the foundation for subsequent deviation trend analysis.

[0087] After forming the segment deviation distribution function, deviation evolution trend analysis is performed based on the segment deviation distribution function to obtain the deviation evolution gradient set. Here, deviation evolution trend analysis refers to comparing the segment deviation distribution functions obtained from two or more consecutive acquisitions over time to determine the direction, rate, and stability of change of each deviation at different spatial locations. The deviation evolution gradient set refers to the set structure composed of the evolution gradients of multiple types of deviation distribution functions at various spatial locations, used to reflect whether various deviations are continuously decreasing, remaining constant, slowly fluctuating, or increasing again. For convergence judgment, knowing only the current deviation magnitude is insufficient; it is also necessary to know whether the deviation is evolving towards the target direction. If the deviation is small but the trend is increasing, convergence cannot be considered complete; if the deviation still exists but the trend is continuously decreasing, it indicates that the system is in the effective convergence process. The deviation evolution gradient can be expressed as:

[0088]

[0089] in, This represents the gradient of the deviation evolution at spatial location s for the i-th type of deviation index. This represents the segmental deviation distribution function value of the i-th type of deviation index at spatial location s during the k-th data collection. This represents the segment deviation distribution function value at the corresponding location during the previous data collection. This represents the time interval or iteration step size between two data acquisitions. The principle behind this expression is that by comparing the changes in the deviation distribution of two consecutive rounds of states, the evolution direction and rate of change of the deviation with the iteration process are quantified, forming a set of deviation evolution gradients that reflect the convergence dynamics.

[0090] After obtaining the set of deviation evolution gradients, a multi-index coupled convergence calculation is performed based on the set of deviation evolution gradients and the segment deviation distribution function to obtain the comprehensive convergence function. This multi-index coupled convergence calculation refers to jointly calculating the amplitude information of geometric deviations, negative sag deviations, tension deviations, and pantograph-catenary deviations at the current moment with their corresponding deviation evolution gradient information, thereby generating a single spatial convergence expression. The comprehensive convergence function refers to a convergence degree function continuously distributed along the spatial axis of the phase-splitting device. The smaller the function value, the closer the corresponding spatial position is to the target state and the more stable the evolution trend. This function considers both the absolute value of the deviation and the rate of change of the deviation because convergence requires not only a sufficiently small deviation but also a tendency for the deviation change to decay without significant oscillations. The comprehensive convergence function can be expressed as:

[0091]

[0092] in, This represents the overall convergence value at spatial location s, where M represents the number of deviation index types. This represents the weighting coefficient of the i-th type of deviation index. This represents the segmental deviation distribution function value of the i-th type of deviation index at spatial location s. This represents the maximum allowable reference deviation value for the i-th type of deviation index. This represents the balance coefficient between the trend term and the magnitude term. This represents the gradient of the deviation evolution at spatial location s for the i-th type of deviation index. This represents the maximum allowable reference rate of change for the i-th type of deviation index. The principle behind this expression is to couple the current deviation level and the deviation convergence rate into a single function, allowing the convergence states of different indices and at different stages to be compared on a unified scale.

[0093] After obtaining the comprehensive convergence function, convergence state partitioning is performed based on the comprehensive convergence function to form convergence state partitioning results. This convergence state partitioning refers to dividing the phase separation device along the spatial axis into converged region, near-converged region, slow-converged region, and non-converged region according to the numerical level and variation characteristics of the comprehensive convergence function at each spatial location. The converged region indicates that both the deviation amplitude and deviation evolution gradient are at low levels, indicating that this segment has reached a stable target state; the near-converged region indicates that the deviation amplitude is small but the deviation evolution gradient has not completely decayed, indicating that this segment is approaching a stable state; the slow-converged region indicates that the deviation is decreasing, but the rate of decrease is slow or there are slight fluctuations; the non-converged region indicates that the deviation still exists significantly, or the deviation evolution gradient shows an increase, oscillation, or instability. The convergence state partitioning results refer to the segmented results composed of the convergence category and corresponding spatial range of each spatial segment, used to subsequently identify which locations have met the conditions for entering the construction replacement stage and which locations still need further optimization at the parameter level. This process can prevent overall average convergence from masking local critical mismatches, thereby improving the reliability of trigger judgment.

[0094] After generating the convergence state partitioning results, key segment identification processing is performed based on these results to form a set of key constraints. This key segment identification process involves selecting the spatial segments with the greatest impact on overall convergence from the non-converged and slowly converged regions, and establishing associations between these segments and their corresponding structural locations, dynamic sag parameters, and tension parameters. The selection process considers not only the absolute value of the overall convergence but also the segment length, peak location, structural sensitivity, and risk level. For example, high-convergence segments located in the middle slide area are often more sensitive to multi-bow coupling disturbances and should be prioritized for inclusion in the key segments; locally non-converged segments located in the beginning or end joint areas have a greater impact on interface transition and bow entry / exit smoothness and should also be included in the key constraints. The set of key constraints here refers to the constraint set composed of the spatial range, convergence state, target structural location identifier, corresponding dynamic sag parameter identifier, and corresponding tension parameter identifier of the key segments. The purpose of this set is to explicitly locate the abstract convergence problem to specific segments and specific adjustment objects, providing a basis for subsequent evaluation of whether the current parameters still have the ability to further drive convergence.

[0095] After obtaining the set of key constraints, a convergence-driven capability assessment is performed based on this set to generate a parameter adjustment capability evaluation result. This convergence-driven capability assessment analyzes whether the current dynamic sag parameter set and tension parameter set still have effective adjustment capabilities to deviation changes in key sections. During the assessment, the sensitivity of each deviation within the key section to the corresponding parameter, the parameter adjustment margin, and the degree of parameter coupling influence need to be calculated. If a key section is highly sensitive to changes in the dynamic sag parameter, and the current parameter still has an adjustable margin, it indicates that the system still has the ability to continue driving convergence through parameter optimization. If a section is no longer sensitive to parameter changes, or the parameter has approached the adjustment boundary, it indicates that the benefits of continuing to adjust at the parameter level are limited, and it is not advisable to blindly enter the construction replacement phase. The parameter adjustment capability evaluation result refers to the evaluation results of the adjustability level, adjustment margin level, and potential coupling risk level given for each key section. Parameter sensitivity can be expressed as:

[0096]

[0097] in, This represents the sensitivity of the critical deviation at spatial location s to the j-th adjustment parameter. This represents the critical deviation distribution function value of the critical segment at spatial location s. This represents the j-th dynamic negative sag parameter or tension parameter. The principle behind this expression is that the rate of change of the deviation with respect to the parameter measures the parameter's driving force on the convergence process. Combined with the parameter boundary range, it can be further determined whether there is still enough space at the current parameter level to drive the key segment into the convergence state.

[0098] After the parameter adjustment capability evaluation results are generated, dynamic threshold adjustment processing is performed based on these results to form an adaptive convergence judgment threshold. This dynamic threshold adjustment processing refers to adaptively correcting the threshold used in the global convergence judgment based on the number of critical sections, the concentration of critical sections, the sensitivity of critical structural locations, and the strength of parameter adjustment capability. If the number of critical sections is small, the concentration is low, and the parameter adjustment capability is strong, the convergence judgment threshold can be appropriately relaxed to allow the system to enter the construction and replacement phase earlier, improving efficiency. If the number of critical sections is large, the concentration is high, or they are located in highly sensitive structural locations, and the parameter adjustment capability is insufficient, the threshold should be appropriately tightened to avoid triggering construction and replacement prematurely before sufficient convergence. This adaptive convergence judgment threshold refers to a convergence threshold dynamically adjusted based on the current system state, rather than a fixed constant threshold. Its expression can be represented as:

[0099]

[0100] in, This represents the adaptive convergence threshold. Indicates the basic threshold. This represents the parameter adjustability factor, used to characterize the adjustability margin of the current parameter system. This represents the risk factor for key segments, used to characterize the number and concentration of key segments. This represents the operational safety margin factor, used to characterize the level of convergence tolerance allowed by the current system. , , This represents the correction coefficient for each adjustment factor. The principle behind this expression is to dynamically adjust the threshold level based on the current convergence environment, ensuring that the triggering judgment is neither rigid nor loses its safety margin.

[0101] After establishing the adaptive convergence threshold, a global convergence determination process is performed based on the comprehensive convergence function and the adaptive convergence threshold to generate a convergence determination result. This global convergence determination process involves globally aggregating the comprehensive convergence functions distributed along the spatial axis of the full-phase device and comparing them with the adaptive convergence threshold to ultimately determine whether the current system as a whole meets the conditions for entering construction replacement and iterative adjustment control. During global aggregation, the maximum value criterion, the integral average criterion, or the weighted criterion for key sections can be used. If the system focuses more on the most unfavorable section, the maximum value criterion is used; if the overall convergence level is more important, the weighted integral criterion is used; if the key structural locations have a significant impact on safety, these sections can be assigned higher weights. The convergence determination result here refers to the overall accessibility conclusion given for the current state, which includes the global convergence index value, the remaining status of key sections, the local risk level, and the suggested trigger state. The global convergence index can be expressed as:

[0102]

[0103] in, The global convergence index is represented by L, and the total length of the phase splitter is represented by L. Let C(s) represent the weight function at spatial location s, and C(s) represent the overall convergence value at spatial location s. The principle behind this expression is that by performing a weighted integral over the overall convergence across the entire spatial range, a single index reflecting the overall state is obtained. This index is then compared with an adaptive convergence threshold to determine whether the current system meets the global conditions for entering the next stage.

[0104] When the preset conditions are met, the convergence judgment result serves as the trigger for construction replacement and iterative adjustment control. The triggering condition here refers to the system's decision to stop at the parameter pre-optimization stage when the global convergence index is not higher than the adaptive convergence judgment threshold, and the number of key sections, the risk level of key sections, and the parameter adjustment capability evaluation results simultaneously meet the preset entry conditions. Instead of remaining in the parameter pre-optimization stage, the system transmits the current target geometric parameter set, dynamic sag parameter set, tension parameter set, and the corresponding convergence judgment result to the construction replacement and iterative adjustment control steps. The transmitted content includes not only the parameters themselves but also the convergence status distribution of each section, the list of key sections, local risk descriptions, and suggested construction priorities. Thus, construction replacement and iterative adjustment control is no longer initiated blindly but is based on the premise of completed dynamic convergence verification. If the preset conditions are not met, the system continues to revert to the dynamic sag parameter set or tension parameter set based on the current convergence judgment result, re-executing spatial curve reconstruction, disturbance consistency verification, and convergence judgment until the triggering conditions are met. This approach enables dynamic, closed-loop, and conditional transition control from the parameter optimization stage to the construction execution stage in the scenario described in this application.

[0105] In one possible implementation, the phase-splitting device is subjected to construction replacement and iterative adjustment control based on the target geometric parameter set and the tension parameter set. Specifically, this includes: performing construction parameter analysis processing on the target geometric parameter set and the tension parameter set to obtain initial construction control parameters, wherein the construction control parameters are used to determine the tension release sequence and loading sequence for performing construction path planning processing; performing phased disassembly processing on the existing phase-splitting device to achieve segmented tension transfer; performing installation and positioning processing on the new phase-splitting device to establish a geometric reference state; performing tension reconstruction processing based on the tension parameters to achieve force-bearing connection of the new phase-splitting device; performing geometric adjustment processing based on the initial construction control parameters to form a geometric state; performing state acquisition processing based on the geometric state to form a geometric deviation distribution and a disturbance deviation distribution; performing iterative adjustment generation processing based on the geometric deviation distribution and the disturbance deviation distribution to obtain iterative construction control parameters; and performing iterative adjustment processing based on the iterative construction control parameters and repeating state acquisition and deviation calculation to form a convergence process.

[0106] Specifically, the target geometric parameter set and tension parameter set are first processed using construction parameter analysis to obtain initial construction control parameters, transforming abstract target parameters into executable construction control instructions. This construction parameter analysis refers to the parameter-level expansion of the operations to be performed during construction, based on the guide height distribution, pull-out value distribution, and key control point locations in the target geometric parameter set, and the segmental tension target value, tension gradient target value, and key dropper force target value in the tension parameter set. During the analysis, each key control point in the target geometric parameter set is mapped to a specific dropper number, positioning point number, and joint position number. Combined with the force distribution relationship in the tension parameter set, the adjustment priority and direction of action of each control point during construction are derived. Simultaneously, the tension release sequence and tension loading sequence are determined based on the tension parameter set, ensuring that tension transfer remains under control during disassembly and installation. The construction control parameters here refer to the parameter set used to guide construction path planning, including at least the tension release sequence, tension loading sequence, key control point adjustment sequence, target guide height adjustment, target pull-out value adjustment, and the allowable tension variation range for each stage. By analyzing and processing construction parameters, the construction process is transformed from experience-driven to parameter-driven, providing a clear control basis for subsequent phased dismantling and reconstruction.

[0107] After obtaining the initial construction control parameters, the existing phase-separation device is dismantled in stages to achieve segmented tension transfer, gradually transitioning the original stress system to a controllable release state. This staged dismantling process refers to breaking down the existing phase-separation device from its overall stress state into multiple stress sub-segments according to the tension release sequence given in the construction control parameters, and releasing tension segment by segment. Specifically, primary tension release is first performed in the initial segment by relaxing the initial droppers or positioning devices to reduce local tension. Then, primary tension release is performed in the middle segment by unloading the key droppers in the middle segment, gradually transferring the tension originally concentrated in the middle to temporary support structures or auxiliary tension devices. Finally, tail-end tension release is performed in the final segment, transforming the overall tension from a continuous state to a segmented, isolated state. This segmented tension transfer avoids unloading all tension at once during dismantling; instead, it uses zoned control to orderly transfer tension between different segments, preventing instability or damage to local structures due to sudden stress changes. This process ensures that the existing phase separation device remains in force balance during disassembly and provides a stable construction environment for the installation of new phase separation devices.

[0108] After the phased disassembly of the existing phase-splitting device, the new phase-splitting device undergoes installation and positioning processing to establish a geometric reference state, providing a unified reference for subsequent geometric adjustments. This installation and positioning processing refers to the initial spatial arrangement of the new phase-splitting device based on the elevation guides of the first-end positioning point, the last-end positioning point, and the key intermediate control points in the target geometric parameter set. Specifically, the first end of the new phase-splitting device is aligned with the existing contact network interface, ensuring the elevation guide of the first-end positioning point reaches the target value in the target geometric parameter set. Then, the last end is connected to the next section, ensuring the elevation guide of the last-end positioning point matches the target value. Next, the key control points in the middle are initially positioned, ensuring their spatial positions are close to their corresponding positions in the target geometric parameter set. This geometric reference state refers to the initial geometric shape formed by the new phase-splitting device before full tension is applied, based only on positioning points and preliminary dropper adjustments. This state serves as a unified reference for subsequent tension reconstruction and geometric fine-tuning. By establishing a geometric reference state, all subsequent adjustments are carried out around the same spatial reference, thus avoiding cumulative errors caused by initial installation deviations.

[0109] After establishing the geometric baseline state, tension reconstruction processing is performed based on tension parameters to achieve the force transfer of the new phase-splitting device, gradually transitioning the structure from an unloaded state to the target stress state. This tension reconstruction processing refers to gradually transferring tension from the auxiliary support structure to the new phase-splitting device body according to the tension loading sequence in the construction control parameters. Specifically, the main loading operation is first performed in the middle section, allowing the middle structure to bear the main tension. Subsequently, tension is sequentially applied to the first and last sections, gradually bringing the overall tension distribution closer to the distribution state in the target tension parameter set. During the loading process, tension changes at each stage are monitored in real time to ensure that the tension changes in each section do not exceed the allowable range and to avoid local overload or sudden tension changes. Force transfer here refers to the new phase-splitting device gradually assuming all the tension of the original device, restoring the system to a complete stress state. Through tension reconstruction processing, the stress distribution of the new phase-splitting device is made consistent with the target tension parameter set, providing a stable stress foundation for subsequent geometric adjustments.

[0110] After tension reconstruction is completed, geometric adjustment is performed based on the initial construction control parameters to form a geometric state, gradually bringing the actual spatial shape closer to the target geometric parameter set. This geometric adjustment refers to fine-tuning the lengths of key droppers, the positions of positioning points, and the geometric relationships of joint areas according to the target guide height and target pull-out value adjustments in the construction control parameters. Specifically, guide height changes are achieved by adjusting the dropper length point by point, pull-out value changes are achieved by adjusting the lateral position of positioning points, and smooth curve transitions are achieved through local fine-tuning in the joint area and insulation transition area. The geometric state here refers to the actual geometric shape of the phase-splitting device in space after one round of geometric adjustment. This state may still have some deviations, but it is close to the target geometric parameter set. Through this process, the spatial curve of the phase-splitting device gradually approaches the target geometric state from the geometric reference state.

[0111] After the geometric state is established, state acquisition processing is performed based on this state to generate geometric deviation distribution and disturbance deviation distribution, thus quantifying the current state of the system. State acquisition processing here refers to acquiring data on the current geometric state's guide height distribution, pull-out value distribution, contact force distribution, and vibration response through measuring equipment or a pantograph-catenary detection system, and mapping this data to a unified spatial coordinate axis. The geometric deviation distribution refers to the spatial distribution of the difference between the current guide height distribution and the target guide height distribution, used to characterize the degree of geometric deviation. The disturbance deviation distribution refers to the spatial distribution of the difference between the current pantograph-catenary state sequence and the target operating state, used to characterize whether operational disturbances have been effectively suppressed. Through state acquisition processing, the actual construction results are transformed into calculable deviation distributions, providing a data foundation for subsequent iterative adjustments.

[0112] After obtaining the geometric deviation distribution and disturbance deviation distribution, an iterative adjustment generation process is performed based on these distributions to obtain iterative construction control parameters, making the next round of adjustments more targeted. This iterative adjustment generation process maps the difference between the current deviation distribution and the target parameters to new construction control parameters. Specifically, for sections with large geometric deviation distributions, the corresponding dropper adjustment or positioning point adjustment is increased. For sections with large disturbance deviation distributions, dynamic negative sag parameters or local tension distribution are adjusted. Simultaneously, the direction of adjustment—whether to continue strengthening or appropriately weakening—is determined based on the deviation evolution trend. The iterative construction control parameters refer to the set of parameters corrected based on the current deviation feedback, with the same structure as the initial construction control parameters but updated values. This process transforms construction control from a one-time setting to a feedback-based dynamic update process.

[0113] After obtaining the iterative construction control parameters, iterative adjustment processing is performed based on these parameters, and state acquisition and deviation calculation are repeated to form a convergence process, gradually bringing the system to the target state. The iterative adjustment processing here refers to performing geometric adjustments and tension fine-tuning again according to the updated construction control parameters, making the phase-splitting device further approach the target set of geometric and tension parameters. After each round of adjustment, state acquisition processing and deviation calculation are performed again, updating the geometric deviation distribution and disturbance deviation distribution, and regenerating the iterative construction control parameters. The convergence process here refers to the process where, as the number of iterations increases, the geometric deviation distribution and disturbance deviation distribution gradually decrease, eventually reaching the preset convergence condition. Through this cyclical processing, a closed-loop control mechanism is formed for construction changes and parameter verification, thereby avoiding multiple rounds of manual trial adjustments, improving overall construction efficiency, and enhancing operational safety.

[0114] In one possible implementation, a perturbation consistency check is performed based on the updated second pantograph-catenary state sequence. The dynamic negative sag parameter is then reverse-corrected based on the check result. A verification result is output when preset conditions are met. Specifically, this includes: performing spatiotemporal registration and pantograph decoupling on the second pantograph-catenary state sequence to obtain an updated perturbation response sequence; performing perturbation feature extraction on the updated perturbation response sequence to obtain a perturbation feature set; performing perturbation position alignment on the perturbation feature set and a pre-stored target perturbation distribution set to obtain a perturbation verification alignment set; and performing perturbation consistency checks sequentially on the perturbation verification alignment set. The process involves quantization and perturbation-consistency partitioning to form a consistent partitioning result; segment binding backtracking is performed based on the consistent partitioning result and the dynamic negative sag parameter set to determine the target parameter set; a reverse correction model is constructed based on the perturbation consistency deviation value and the target parameter set to obtain the reverse correction amount; bounded update processing is performed on the dynamic negative sag parameter set based on the reverse correction amount to generate a corrected negative sag parameter set; convergence trend evaluation processing is performed based on the corrected negative sag parameter set to form a parameter correction judgment result; termination judgment processing is performed based on the parameter correction judgment result, and a review result is output when preset conditions are met.

[0115] Specifically, the second pantograph-catenary state sequence is first processed by spatiotemporal registration and pantograph-specific decoupling. This unifies the pantograph-catenary state data collected by different pantographs at different times into the same spatial reference frame and separates them into individual pantograph responses. The second pantograph-catenary state sequence refers to the time-series data set containing multiple physical quantities such as contact force, displacement, acceleration, and offline events, acquired by the pantograph-catenary detection system after a round of construction replacement and geometric adjustment. Spatiotemporal registration involves mapping the time series to a unified spatial location sequence based on the detection vehicle's operating speed, mileage calibration information, and track mileage coordinates, ensuring that different time sampling points correspond to the same spatial location. Pantograph-specific decoupling utilizes the time delay and propagation path relationships between multiple pantographs to separate the original mixed response into independent response sequences corresponding to each pantograph. In the specific processing, the time offset between different pantographs is determined through sliding window matching and cross-correlation analysis. Then, each pantograph response sequence is resampled according to the unified spatial location to obtain an updated disturbance response sequence. This sequence maintains consistency in the spatial dimension and independence in the pantograph-specific dimension, providing a foundation for subsequent disturbance analysis.

[0116] After obtaining the updated perturbation response sequence, perturbation feature extraction is performed based on it to obtain a perturbation feature set, transforming the complex time-series signal into a quantifiable perturbation description. This perturbation feature extraction process refers to extracting features from the updated perturbation response sequence that reflect the essence of the pantograph-catenary coupling perturbation, including peak contact force, root mean square contact force, contact force fluctuation amplitude, peak acceleration, frequency domain dominant frequency component, and offline event frequency. The perturbation feature set refers to the set of multidimensional feature vectors composed of the above features at each spatial location. Specifically, the updated perturbation response sequence is first filtered and denoised, then various statistical features are calculated within a fixed spatial window. Simultaneously, frequency domain features are extracted using short-time Fourier transform or wavelet transform, so that the perturbation is described not only at the amplitude level but also at the frequency level. This process compresses the original complex waveform into a physically meaningful feature set, facilitating subsequent consistency analysis.

[0117] After obtaining the disturbance feature set, disturbance position alignment processing is performed based on the disturbance feature set and the pre-stored target disturbance distribution set to obtain the disturbance verification alignment set, establishing a correspondence between the actual disturbance and the target disturbance in spatial position and feature dimension. The target disturbance distribution set here refers to the ideal disturbance distribution determined during the design or historical optimization phase, used to characterize the disturbance level that the phase separation device should achieve at each spatial position under ideal conditions. The disturbance position alignment processing refers to matching each feature vector in the actual disturbance feature set with the corresponding target feature vector in the target disturbance distribution set through spatial position matching and feature similarity matching. Specifically, preliminary alignment is first performed according to spatial position, and then fine-tuning of local offsets is done using the minimum feature difference principle or dynamic time warping method, ensuring a one-to-one correspondence between peak positions, disturbance concentration sections, and transition sections between the two sets. The disturbance verification alignment set here refers to the set structure composed of pairs of actual disturbance features and target disturbance features, used for subsequent consistency quantification analysis.

[0118] After forming the perturbation verification alignment set, perturbation consistency quantization and perturbation consistency partitioning are performed sequentially based on the perturbation verification alignment set to form a consistency partitioning result, thus spatially representing the degree of perturbation matching. Here, perturbation consistency quantization refers to calculating the consistency deviation value for each pair of actual and target perturbation features, used to measure the degree of difference between the actual and target states. The perturbation consistency deviation value can be expressed as:

[0119]

[0120] Where E(s) represents the perturbation consistency deviation value at spatial location s. This represents the value of the i-th actual disturbance feature at spatial location s. This indicates the corresponding target perturbation feature value. represents the weight coefficient of the i-th feature, and K represents the number of features. This expression achieves integrated quantification of perturbations of multiple physical quantities by weighted summation of differences in multi-dimensional features. Subsequently, perturbation consistency partitioning is performed, which involves dividing the phase separation device into high consistency, medium consistency, and low consistency regions based on the spatial distribution of perturbation consistency deviation values. This forms a consistency partitioning result, used to identify which segments have reached the target perturbation level and which segments still have significant deviations.

[0121] After obtaining the consistency partitioning results, a segment binding backtracking process is performed based on the consistency partitioning results and the dynamic sag parameter set to determine the target parameter set, establishing a direct correlation between the disturbance deviation and the parameter adjustment object. This segment binding backtracking process maps the low-consistency and medium-consistency regions in the consistency partitioning results to their corresponding structural segments, and further maps them to specific parameter items in the dynamic sag parameter set, such as the initial transition correction, the middle main correction, or the final transition correction. Through this mapping relationship, it can be determined which dynamic sag parameters contribute the most to the current disturbance deviation. The target parameter set refers to the subset of dynamic sag parameters that require key correction in the current state. This process achieves reverse localization from the disturbance result to the parameter source, making subsequent corrections more targeted.

[0122] After determining the target parameter set, a reverse correction model is constructed based on the perturbation consistency deviation value and the target parameter set to obtain the reverse correction amount, ensuring that the parameter update direction is consistent with the perturbation deviation change direction. Here, the reverse correction model refers to a mapping model describing the influence of perturbation consistency deviation on the dynamic negative sag parameter. Its core lies in reflecting the perturbation deviation as a parameter correction amount through the parameter's sensitivity to perturbation. The reverse correction amount can be expressed as:

[0123]

[0124] in, This represents the reverse correction amount for the j-th dynamic sag parameter. This represents the correction step size coefficient, and E(s) represents the perturbation consistency deviation value at spatial location s. This indicates the sensitivity of the perturbation feature to the j-th parameter. This represents the spatial segment affected by the j-th parameter. The principle behind this expression is to integrate and project the disturbance deviation along the parameter-sensitive direction to obtain the parameter correction amount that can reduce the deviation.

[0125] After obtaining the reverse correction amount, a bounded update process is performed on the dynamic negative sag parameter set based on the reverse correction amount to generate a corrected negative sag parameter set, making the parameter adjustment both effective and stable. This bounded update process refers to applying upper and lower bound constraints to the correction amount during parameter updates to prevent system oscillations or out-of-bounds errors due to excessive corrections. The update process can be represented as:

[0126]

[0127] in, This represents the updated j-th dynamic sag parameter. This indicates the parameter value before the update. This indicates the reverse correction amount. and These represent the minimum and maximum allowed values ​​for the parameter, respectively. This represents the limiting function. This process ensures that parameter updates are always within the allowable range of the engineering specifications.

[0128] After forming the corrected negative sag parameter set, a convergence trend evaluation process is performed based on this set to generate a parameter correction judgment result, thus evaluating the parameter update effect. This convergence trend evaluation process compares the changing trend of the perturbation consistency deviation value during multiple consecutive correction rounds to determine whether the system is continuously converging towards the target state. Specifically, by calculating the difference between the current deviation and the previous round's deviation, as well as the rate of change, it is determined whether the deviation is continuously decreasing, oscillating, or stabilizing. If the deviation is continuously decreasing and the rate of change is gradually decreasing, it indicates that the system is in a good convergence state; if the deviation is unstable or rebounds, it indicates that there is a problem with the current parameter update direction or magnitude. This parameter correction judgment result is a comprehensive evaluation of the current correction effect, used to guide whether to continue iteration or adjust the correction strategy.

[0129] After obtaining the parameter correction determination result, a termination determination process is executed based on the parameter correction determination result, and a verification result is output when preset conditions are met, thus forming a closed-loop termination condition for the entire disturbance consistency verification process. The termination determination process here refers to determining whether the preset convergence condition has been met based on the convergence trend, the disturbance consistency deviation level, and the remaining status of key sections. If all key sections reach the high consistency zone or medium consistency zone and the deviation change tends to stabilize, the termination condition is determined to be met, and a verification result is output; otherwise, the reverse correction and parameter update process continues. The verification result here refers to a comprehensive result including the final dynamic negative sag parameter set, the corresponding disturbance consistency partition result, and the overall convergence state evaluation, used to confirm that the phase-separated device has reached the target operating state. Through this termination determination process, the disturbance consistency verification and parameter correction form an adaptive closed-loop mechanism.

[0130] This embodiment also discloses a device for construction, replacement, and parameter verification of AC / DC converters, referring to... Figure 3 The device includes an acquisition module 301, a processing module 302, and an output module 303. It is used to execute any of the above-described methods for AC / DC converter construction, replacement, and parameter verification, wherein: The acquisition module 301 is used to acquire the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device; Processing module 302 is used to construct a multi-bow coupling perturbation function based on the bow-catenary state sequence and generate a set of perturbation distributions; Processing module 302 is used to perform parameter reconstruction processing on the phase splitting device according to the disturbance distribution set to obtain dynamic negative sag parameters; Processing module 302 is used to perform space curve reconstruction processing based on dynamic negative sag parameters and geometric parameter sets to obtain target geometric parameter sets; Processing module 302 is used to perform construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and the tension parameter set; The output module 303 is used to perform a perturbation consistency check based on the updated second bow-catenary state sequence, perform reverse correction on the dynamic negative sag parameter according to the check result, and output the verification result when the preset conditions are met.

[0131] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0132] This embodiment also discloses an electronic device, as shown in the reference. Figure 4 The electronic device may include: at least one processor 401, at least one communication bus 402, user interface 403, network interface 404, and at least one memory 405.

[0133] The communication bus 402 is used to enable communication between these components.

[0134] The user interface 403 may include a display screen and a camera. Optionally, the user interface 403 may also include a standard wired interface and a wireless interface.

[0135] The network interface 404 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0136] The processor 401 may include one or more processing cores. The processor 401 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory 405, and by calling data stored in memory 405. Optionally, the processor 401 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 401 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 401.

[0137] The memory 405 may include random access memory (RAM) or read-only memory. Optionally, the memory may include a non-transitory computer-readable storage medium. The memory 405 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 405 may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch functionality, sound playback functionality, image playback functionality, etc.), instructions for implementing the various method embodiments described above, etc.; the data storage area may store data involved in the various method embodiments described above, etc. Optionally, the memory 405 may also be at least one storage device located remotely from the aforementioned processor 401. As a computer storage medium, the memory 405 may include an operating system, a network communication module, a user interface 403 module, and an application program for a method of construction, replacement, and parameter verification of an AC / DC converter.

[0138] exist Figure 4In the electronic device shown, the user interface 403 is mainly used to provide an input interface for the user and to obtain the user input data; while the processor 401 can be used to call the application program stored in the memory 405 for a method of construction replacement and parameter verification of AC-DC conversion device. When executed by one or more processors 401, the electronic device performs one or more methods as described in the above embodiments.

[0139] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, as some steps can be performed in other orders or simultaneously according to the present invention. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0140] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0141] In the several embodiments provided by this invention, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0142] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0143] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0144] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory 405 and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned memory 405 includes various media capable of storing program code, such as a USB flash drive, external hard drive, magnetic disk, or optical disk.

[0145] The present invention also discloses a non-transitory computer-readable storage medium storing instructions. When executed by one or more processors 401, these instructions cause an electronic device to perform one or more methods as described in the above embodiments.

[0146] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Those skilled in the art will readily conceive of other embodiments of this disclosure upon considering the specification and the disclosure of practical truths. This invention is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method for construction, replacement, and parameter verification of an AC / DC converter, characterized in that, The method includes: Obtain the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device; Based on the bow-catenary state sequence, a multi-bow coupling perturbation function is constructed and a perturbation distribution set is generated; Based on the disturbance distribution set, the phase splitting device is subjected to parameter reconstruction processing to obtain dynamic negative sag parameters; Based on the dynamic negative sag parameter and the set of geometric parameters, perform space curve reconstruction processing to obtain the target set of geometric parameters; Based on the target geometric parameter set and the tension parameter set, the phase separation device is subjected to construction replacement and iterative adjustment control. Based on the updated second bow-catenary state sequence, a perturbation consistency check is performed. The dynamic negative sag parameter is then reversed according to the check result, and the verification result is output when the preset conditions are met.

2. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 1, characterized in that, The step of constructing a multi-bow coupling perturbation function and generating a perturbation distribution set based on the bow-catenary state sequence specifically includes: Perform bow-specific decoupling and spatiotemporal registration processing on the first bow-catenary state sequence to obtain a single bow response sequence; The single bow response sequence is subjected to baseline normalization and perturbation component extraction processing to obtain the perturbation component sequence; Based on the perturbation component sequence, perform inter-bow propagation correlation analysis to determine the optimal spatial lag and complete propagation compensation alignment to obtain the compensated perturbation component sequence; Multi-physical quantity weighted fusion is performed based on the compensated perturbation component sequence to form a comprehensive perturbation intensity; Phase extraction and phase difference aggregation are performed based on the perturbation component sequence to obtain a phase consistency index; A multi-arch coupling perturbation function is constructed based on the comprehensive perturbation intensity, the phase consistency index, and the propagation correction factor; Based on the multi-arch coupling perturbation function, spatial segmentation and attribute binding are performed to form the perturbation distribution set.

3. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 1, characterized in that, The step of performing parameter reconstruction processing on the phase splitting device based on the disturbance distribution set to obtain dynamic sag parameters specifically includes: Perform structural position mapping processing on the perturbation distribution set to form a perturbation constraint set; Construct an initial negative sag curve based on the set of geometric parameters; A perturbation-driven correction field is constructed based on the perturbation constraint set; Based on the disturbance-driven correction field, a partitioned negative sag correction strategy is generated and a dynamic negative sag correction template is formed; Based on the dynamic negative sag correction template and the disturbance-driven correction field, a target negative sag increment curve is generated; Candidate dynamic negative sag curves are constructed based on the initial negative sag curve and the target negative sag increment curve; The target elevation curve is calculated inversely based on the candidate dynamic negative sag curve. Based on the target elevation curve, an implementation screening is performed to form the target dynamic negative sag curve; The target dynamic negative sag curve is subjected to discrete parameterization processing to generate the dynamic negative sag parameter set.

4. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 1, characterized in that, The process of performing space curve reconstruction based on the dynamic negative sag parameter and the geometric parameter set to obtain the target geometric parameter set specifically includes: Construct an initial geometric curve based on the set of geometric parameters; A negative sag correction distribution function is generated based on the aforementioned dynamic negative sag parameter set; Based on the initial geometric curve and the negative sag correction distribution function, a spatial superposition process is performed to generate candidate spatial curves; Boundary constraint processing is performed on the candidate space curves to form the target space curve; Based on the target space curve, the geometric parameter set is inverted and updated to form the target geometric parameter set.

5. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 1, characterized in that, The process of performing construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and the tension parameter set specifically includes: The target geometric parameter set and the tension parameter set are subjected to construction parameter analysis processing to obtain initial construction control parameters, wherein the construction control parameters are used to determine the tension release sequence and loading sequence for performing construction path planning processing; The existing phase separation device is disassembled in stages to achieve segmented tension transfer; Perform installation and positioning procedures on the new phase-splitting device to establish a geometric reference state; Based on the tension parameters, a tension reconstruction process is performed to realize the force-bearing connection of the new phase separation device; Geometric adjustment is performed based on the initial construction control parameters to form a geometric state; Based on the geometric state, state acquisition processing is performed to form a geometric deviation distribution and a disturbance deviation distribution; Based on the geometric deviation distribution and the disturbance deviation distribution, an iterative adjustment and generation process is performed to obtain iterative construction control parameters; Based on the iterative construction control parameters, iterative adjustment processing is performed, and state acquisition and deviation calculation are repeated to form a convergence process.

6. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 1, characterized in that, The process of performing a perturbation consistency check based on the updated second bow-catenary state sequence, and then performing a reverse correction on the dynamic negative sag parameter according to the check result, outputting the verification result when preset conditions are met, specifically includes: The second pantograph-catenary state sequence is subjected to spatiotemporal registration and pantograph decoupling to obtain the updated disturbance response sequence; Based on the updated perturbation response sequence, perturbation feature extraction processing is performed to obtain a perturbation feature set; Based on the perturbation feature set and the pre-stored target perturbation distribution set, perturbation position alignment processing is performed to obtain the perturbation verification alignment set; Based on the perturbation verification alignment set, perturbation consistency quantization processing and perturbation consistency partitioning processing are performed sequentially to form a consistency partitioning result; Based on the consistent partitioning results and the dynamic negative sag parameter set, segment binding backtracking is performed to determine the target parameter set; A reverse correction model is constructed based on the perturbation consistency deviation value and the target parameter set to obtain the reverse correction amount; Based on the reverse correction amount, a bounded update process is performed on the dynamic negative sag parameter set to generate a corrected negative sag parameter set; Based on the modified negative sag parameter set, a convergence trend evaluation process is performed to form a parameter correction determination result; Based on the parameter correction result, the termination judgment process is executed, and the verification result is output when the preset conditions are met.

7. The method for construction, replacement, and parameter verification of an AC / DC converter according to claim 5, characterized in that, Before performing construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and the tension parameter set, the method further includes: A unified index extraction and normalization process is performed on the target geometric parameter set, the dynamic negative sag parameter set, the tension parameter set, and the first bow-catenary state sequence to obtain an initial deviation index set. Based on the initial set of deviation indicators, spatial distribution modeling is performed to obtain the segment deviation distribution function; Based on the segment deviation distribution function, deviation evolution trend analysis is performed to obtain a set of deviation evolution gradients; Based on the deviation evolution gradient set and the segment deviation distribution function, a multi-index coupled convergence calculation is performed to obtain a comprehensive convergence function; Based on the comprehensive convergence function, perform convergence state partitioning to form convergence state partitioning results; Based on the convergence state partitioning results, key segment identification processing is performed to form a set of key constraints; Based on the set of key constraints, a convergence driving capability evaluation process is performed to form a parameter adjustment capability evaluation result; Based on the evaluation results of the parameter adjustment capability, dynamic threshold adjustment processing is performed to form an adaptive convergence judgment threshold. Global convergence determination processing is performed based on the comprehensive convergence function and the adaptive convergence determination threshold to form a convergence determination result; When the preset conditions are met, the convergence determination result is used as the triggering basis for construction replacement and iterative adjustment control.

8. A device for construction, replacement, and parameter verification of an AC / DC converter, characterized in that, The device is used to perform a method for construction, replacement, and parameter verification of an AC / DC converter as described in any one of claims 1-7. The device includes an acquisition module, a processing module, and an output module, wherein: The acquisition module is used to acquire the first pantograph-catenary state sequence, geometric parameter set, and tension parameter set corresponding to the phase separation device; The processing module is used to construct a multi-bow coupling perturbation function and generate a perturbation distribution set based on the bow-catenary state sequence; The processing module is used to perform reconstruction processing on the phase splitting device according to the disturbance distribution set to obtain dynamic negative sag parameters; The processing module is used to perform space curve reconstruction processing based on the dynamic negative sag parameter and the set of geometric parameters to obtain the target set of geometric parameters. The processing module is used to perform construction replacement and iterative adjustment control on the phase separation device based on the target geometric parameter set and the tension parameter set; The output module is used to perform a perturbation consistency check based on the updated second bow-catenary state sequence, reverse correct the dynamic negative sag parameter according to the check result, and output the verification result when the preset conditions are met.

9. An electronic device, characterized in that, The device includes a processor, a communication bus, a user interface, a network interface, and a memory. The memory is used to store instructions. The user interface and the network interface are both used to communicate with other devices. The communication bus is used to enable communication between the components within the electronic device. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1-7.

10. A non-transitory computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1-7.

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