HPLC + HRF dual-mode rapid switching method

Abstract

The invention discloses an HPLC (High Performance Liquid Chromatography) + HRF (High Radio Frequency) dual-mode rapid switching method, aiming at three major pain points of difficult discrimination of a distortion source, easy misjudgment of single-channel monitoring and extensive switching strategy in a power grid interference coupling scene, a cross-channel association map is constructed, three-dimensional indexes of map consistency, mutation aggregation degree and association stable value are extracted, and two types of feature libraries of an interference source and channel degradation are established; through static feature matching and time sequence integrating degree two-dimensional discrimination, performing layered judgment on false fluctuation, real degradation and compound abnormity, and outputting a quantitative index with a distortion type label; respectively executing temporary switching-automatic back switching, long-term main and standby switching and linked operation and maintenance machine account updating according to three scenes of instantaneous interference, continuous degradation and composite abnormity to form a sensing-decision-switching-operation and maintenance-multiplexing closed loop; the distortion source is traceable, the dual-mode cooperative state can be quantized, the switching strategy is refined, and the stability and the operation and maintenance efficiency of dual-mode communication in a complex power grid environment are remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of smart grid communication technology, specifically relating to a rapid switching method for HPLC+HRF dual-mode communication. Background Technology

[0002] In the field of smart grid communication, HPLC and HRF dual-mode communication is the core solution for power grid data interaction. However, the power grid has complex interference coupling scenarios, which can easily cause abnormal dual-mode channel signals. Traditional monitoring and switching schemes have defects in distortion identification, status assessment, and switching strategies, which seriously affect the stability of dual-mode communication and operation and maintenance efficiency. Based on this, the following technical issues are proposed:

[0003] In the scenario of power grid interference coupling, the existing solution can only determine that there is signal distortion in the dual-mode channel, but cannot distinguish whether the distortion is caused by false fluctuations from external interference or by the channel itself. The two have high similarity in static characteristics and lack time-series verification, which makes it easy to misjudge the type of distortion. This results in unreliable channel state quantification indicators and cannot support accurate switching decisions.

[0004] Traditional methods monitor HPLC and HRF single-channel parameters in isolation, without establishing a cross-channel correlation analysis system. They also rely on a single parameter to determine the status, lack multi-dimensional index fusion and standardized comprehensive quantitative models, making it difficult to comprehensively evaluate the collaborative operation status of the dual-mode channels. This can easily lead to overall misjudgment due to local parameter anomalies.

[0005] Existing switching methods mostly follow a "one-size-fits-all" logic, without designing adaptation strategies for different abnormal scenarios. This can easily lead to the waste of backup channel resources or interruption of critical business communications. At the same time, the switching process is not linked with the power grid operation and maintenance process, and there is no dynamic update mechanism for the primary and backup channel status ledgers, making it difficult to ensure the long-term stable operation of the dual-mode communication system. To address this, we propose an HPLC+HRF dual-mode rapid switching method. Summary of the Invention

[0006] The purpose of this invention is to provide a rapid switching method for HPLC+HRF dual-mode to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a rapid switching method for HPLC+HRF dual-mode, comprising the following steps:

[0008] Step 1: Collect channel state parameters of HPLC and HRF channels, organize them into a dual-mode channel time series parameter matrix and complete normalization; construct HPLC-HRF time series correlation pairs and calculate the time series correlation degree, build a dual-mode channel parameter correlation map; calculate the map consistency coefficient, mutation clustering degree, and correlation stability value as core indicators; at the same time, establish two types of map feature libraries: interference source and channel degradation.

[0009] Step 2: Analyze the overall deviation value of the channel state and initiate the identification process for channels with distortion risk; construct the core feature vector of the channel topology and calculate the feature matching degree and timing fit degree with the two types of spectrum feature libraries of interference source and channel degradation respectively; perform hierarchical judgment of no channel anomaly, interference false fluctuation, real degradation, and composite anomaly; output the quantitative index of the channel real state with distortion type label.

[0010] Step 3: Delineate the primary and backup channels. Based on the channel's spectrum consistency coefficient and distortion type label, perform primary and backup transmission mode maintenance, temporary handover and automatic return for transient interference, and long-term primary and backup identity handover for persistent degradation, while linking operation and maintenance and ledger updates. At the same time, match the corresponding handover process for composite abnormal channels according to the secondary judgment results.

[0011] Preferably, the process of constructing the dual-mode channel timing parameter matrix and the HPLC-HRF timing correlation pair is as follows:

[0012] Set the signal discrimination acquisition time window, and acquire the channel state parameters of HPLC and HRF within the current signal discrimination time window;

[0013] The channel state parameters acquired by HPLC and HRF within the signal discrimination time window are organized according to the dimensions of time, channel type, and parameter category to form a dual-mode channel timing parameter matrix.

[0014] The measured values ​​of all parameters in the dual-mode channel timing parameter matrix are normalized and preprocessed.

[0015] By pairwise combining all channel state parameters in the HPLC channel with all channel parameters in the HRF channel, several HPLC-HRF time series correlation pairs are obtained.

[0016] Preferably, the specific process for calculating the core indicators of spectrum consistency coefficient, mutation clustering degree, and association stability value is as follows:

[0017] Obtain the time-normalized data of dual-channel state parameters of any HPLC-HRF time-series correlation pair within the signal discrimination time window, calculate the time-series correlation degree of the time-series correlation pair, and summarize the time-series correlation degrees of all time-series correlation pairs to form a cross-channel correlation degree set.

[0018] For each node in the association graph, calculate the node change value, the mean node change value, and the mean node deviation value at adjacent acquisition times. Combine this with a preset threshold to determine whether the node has undergone a sudden change. Count the number of nodes that have undergone a sudden change and calculate the degree of sudden change clustering by combining the total number of nodes.

[0019] Obtain the extreme values ​​and mean values ​​of the cross-channel correlation set, and calculate the correlation stability value accordingly.

[0020] Preferably, the specific process for establishing two types of spectral feature libraries—interference source and channel degradation—is as follows:

[0021] Constructing an interference source spectral feature library specifically includes: collecting HPLC and HRF channel state parameters under the influence of all typical interference sources, constructing correlation maps corresponding to each interference type, and extracting the spectral consistency coefficient-mutation clustering degree-correlation stability feature vector group for each interference type.

[0022] The channel degradation feature library is constructed, which specifically includes: collecting HPLC and HRF channel state parameters under all real degradation scenarios, constructing correlation maps corresponding to each degradation scenario, and extracting the corresponding feature vector groups.

[0023] Preferably, the specific process of analyzing the comprehensive deviation value of the channel state and initiating the screening process for channels with distortion risk is as follows:

[0024] Obtain the spectrum consistency coefficient, mutation clustering degree, and correlation stability value corresponding to the current identification and collection time window, and perform comprehensive analysis to obtain the comprehensive deviation value of the channel state;

[0025] If the overall deviation value of the channel state corresponding to the current identification and collection time window is greater than or equal to the corresponding preset threshold, it is determined that the channel transmission state has deviated from the standard operating state and there is a risk of signal distortion, and the dual-mode channel signal distortion source identification process is initiated.

[0026] Preferably, the specific process of constructing the core feature vector of the channel topology and calculating the feature matching degree and time series fit degree with the two types of spectral feature libraries of interference sources and channel degradation is as follows:

[0027] Define the core feature vector of the current channel topology, and calculate the matching degree between this feature vector and the feature vectors of each interference type in the interference source map feature library and the feature vectors of each degradation type in the channel degradation feature library.

[0028] Extract the maximum matching degree of the feature vector with the interference source map feature library and the maximum matching degree of the channel degradation feature library, and simultaneously obtain the interference type and degradation type corresponding to the maximum matching degree;

[0029] Calculate the temporal variation pattern of the core feature vector of the current channel topology, and the consistency of the temporal variation pattern of the standard feature vectors of the interference type and degradation type corresponding to the maximum matching degree in their respective feature libraries, and then obtain the temporal matching degree of the interference source and the temporal matching degree of degradation.

[0030] Preferably, the specific process for outputting the channel true state quantization index with distortion type label is as follows:

[0031] For any channel in HPLC and HRF, the status determination and index extraction are completed according to the following rules:

[0032] No anomaly determination: If the maximum matching degree of interference in the current channel is less than the preset matching degree threshold and the interference timing fit is greater than the preset timing fit threshold, and at the same time the maximum matching degree of degradation is less than the preset matching degree threshold and the degradation timing fit is greater than the preset timing fit threshold, the current channel is determined to be in an anomaly state, and the topological core features of the current association map are retained.

[0033] Interference False Fluctuation Judgment: If the maximum matching degree of interference in the current channel is greater than or equal to the preset matching degree threshold and the timing matching degree of interference is less than or equal to the preset timing matching threshold, the current channel distortion is determined to be a false fluctuation caused by interference. The normalized value of the mutation node in the graph is corrected with reference to the standard scenario benchmark correlation graph, the correlation graph is reconstructed and its topological core features are recalculated.

[0034] Channel true degradation determination: If the current channel degradation maximum matching degree ≥ matching degree threshold and degradation time sequence matching degree ≤ time sequence matching threshold, it is determined to be true degradation, and the topological core features of the current association map are retained;

[0035] Composite anomaly determination: If the above three determination conditions are not met, it is a composite anomaly. First, the normalized value of the mutation node is corrected according to the standard scenario benchmark correlation map and the correlation map is reconstructed. The new topology core features are calculated. Then, based on the corrected features, the maximum matching degree and timing fit of the channel degradation feature library are recalculated. If the new matching degree and fit meet the degradation determination threshold, it is determined as a real degradation. Otherwise, it is determined as interference false fluctuation.

[0036] The spectral consistency coefficient under different distortion scenarios is used as the quantitative indicator of the true state of the corresponding channel, and a distortion type label is attached to it.

[0037] The distortion type labels include: transient interference, persistent degradation, interference superposition degradation, and no distortion.

[0038] Preferably, the specific process for maintaining primary / standby transmission mode, performing temporary switching due to transient interference, and automatic reverting is as follows:

[0039] Retrieve the initial primary and backup channel identifiers of the HPLC and HRF channels, and delineate the initial primary and backup channels;

[0040] If, within the current screening window, the consistency coefficients of the primary and backup channel maps both reach the preset health baseline threshold and the distortion label is distortion-free, the existing primary and backup transmission mode is maintained.

[0041] If the primary channel experiences transient interference and the spectrum consistency coefficient is below the abnormal handover threshold, and the backup channel is in normal condition, a temporary handover to the backup channel is triggered.

[0042] After a temporary switchover, the original primary channel is continuously monitored. Once its spectrum consistency coefficient rises to the healthy threshold and the distortion label becomes distortion-free, a switchback is automatically triggered to restore the original primary / backup transmission mode.

[0043] Preferably, the specific process for performing long-term primary / backup identity switching for persistently deteriorating channels, along with coordinated operation and maintenance and ledger updates, and matching the corresponding switching procedure for composite abnormal channels based on the secondary judgment results, is as follows:

[0044] If the distortion type label of the primary channel is continuously degraded and its spectrum consistency coefficient is lower than the abnormal handover trigger threshold, while the spectrum consistency coefficient of the backup channel reaches the channel health baseline threshold and the distortion type label is no distortion, the long-term primary / backup identity handover process is triggered, the service transmission link is transferred to the backup channel and the primary / backup identity change is completed.

[0045] After the switch, the original primary channel is marked as a channel to be maintained, and its degraded topology core characteristics are synchronized to the power grid maintenance end. When the maintenance is completed and the verification indicators meet the health benchmark threshold and the distortion label is no distortion, it is re-included in the standby sequence and the dynamic ledger of primary and standby channel status is updated.

[0046] If the primary channel is subject to interference superimposed degradation, and the secondary determination indicates genuine degradation, then a continuous degradation handover procedure is adopted; if the secondary determination indicates spurious interference fluctuations, then a handover procedure corresponding to instantaneous interference is matched.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] (1) This HPLC+HRF dual-mode rapid switching method first establishes two types of spectral feature libraries covering typical interference and real degradation scenarios, and extracts feature vectors and time series patterns under different scenarios; then, through the dual-dimensional judgment logic of "static feature matching degree + dynamic time series fit degree", the interference effect is corrected before the degradation is judged again for complex anomalies, which can accurately distinguish four types of states such as instantaneous interference and continuous degradation. The output labeled quantitative indicators can provide accurate basis for switching decisions, effectively solving the problem of misjudgment caused by static feature similarity.

[0049] (2) This HPLC+HRF dual-mode rapid switching method collects HPLC wired characteristic parameters and HRF wireless quality parameters, constructs a dual-mode channel time series parameter matrix and completes normalization, and then builds a cross-channel parameter correlation map. It integrates the map consistency coefficient, mutation clustering degree and correlation stability value to form a comprehensive deviation value model, realizing a comprehensive evaluation of the dual-mode channel collaborative state. It can effectively avoid the overall misjudgment caused by local parameter anomalies, and make the channel health status judgment more objective and accurate.

[0050] (3) This HPLC+HRF dual-mode rapid switching method performs "temporary switching + automatic back-switch" for transient interference based on the distortion type label and the spectrum consistency threshold, performs "long-term primary and backup switching + operation and maintenance work order linkage" for continuous degradation, matches the corresponding process according to the secondary judgment result for complex anomalies, and updates the primary and backup ledgers in real time, forming a closed loop of "perception-decision-switching-operation and maintenance-reuse" to ensure long-term high availability of dual-mode communication. Attached Figure Description

[0051] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Example 1;

[0054] Please see Figure 1 This invention provides a rapid switching method for HPLC+HRF dual-mode, comprising:

[0055] Step 1: Collect channel state parameters of HPLC and HRF channels, organize them into a dual-mode channel time series parameter matrix, and normalize them; construct HPLC-HRF time series correlation pairs and calculate the time series correlation degree to build a dual-mode channel parameter correlation map; calculate three core indicators: map consistency coefficient, mutation clustering degree, and correlation stability value; simultaneously establish two types of map feature libraries: interference source and channel degradation. The specific process is as follows:

[0056] Set a signal discrimination acquisition time window, and acquire the channel state parameters of HPLC and HRF within the current signal discrimination time window, including:

[0057] HPLC channel state characterization includes parameters reflecting wired transmission characteristics such as line impedance, transmission signal-to-noise ratio, data transmission delay, line attenuation, and signal amplitude stability.

[0058] HRF channel state characterization parameters include: spectral distribution characteristics, signal attenuation, received power, symbol error rate, channel occupancy rate, and other parameters that characterize wireless transmission quality.

[0059] The channel state parameters acquired by HPLC and HRF within the signal discrimination time window are organized according to the dimensions of time (each sampling time) - channel type (HPLC / HRF) - parameter category to form a dual-mode channel time series parameter matrix.

[0060] Among them, the dual-mode channel timing parameter matrix corresponds to each sampling time within the signal discrimination time window, with columns corresponding to different types of parameters of HPLC and HRF channels, and matrix elements being the measured values ​​of parameters for the corresponding time, channel, and category.

[0061] The measured values ​​of all parameters in the dual-mode channel timing parameter matrix are normalized and preprocessed.

[0062] Furthermore, the normalization and dimensionless processing process is as follows:

[0063] Define the current measured value of any channel state parameter as X, and the baseline value of this parameter in the standard power grid communication scenario is... (Obtained through statistical analysis of historical standard operating data of the power grid), the normalized value is D, and the calculation formula is:

[0064] This calculation transforms all parameters in the dual-mode channel timing parameter matrix into dimensionless normalized values.

[0065] Based on the normalized preprocessed dual-mode channel timing parameter matrix, all channel state parameters in the HPLC channel are combined with all channel parameters in the HRF channel in pairs to obtain several HPLC-HRF timing correlation pairs.

[0066] For any HPLC-HRF time-series correlation pair, the time-normalized data of the two channel state parameters in the correlation pair within the signal discrimination time window are obtained. The time-series correlation degree K is then calculated using the formula:

[0067]

[0068] Where i is the number of the sampling time within the discrimination time window, and n is the total number of sampling times within the signal discrimination time window; This represents the normalized value of the HPLC channel state parameter at the i-th acquisition time within the signal discrimination time window. This is the mean of the normalized values ​​of the current HRF channel state parameters within the signal discrimination time window; This represents the normalized value of the HRF channel state parameters at the i-th acquisition time within the signal discrimination time window. This is the mean of the normalized values ​​of the current HRF channel state parameters within the signal discrimination time window;

[0069] The temporal correlation degree K of all HPLC-HRF time-series correlation pairs is summarized to obtain the cross-channel correlation degree set within the signal discrimination time window; this set fully covers the correlation strength information of all parameter pairs between the two-mode channels.

[0070] Using all HPLC and HRF channel state parameters contained in the normalized dual-mode channel time-series parameter matrix as nodes, and the time-series correlation degree in the cross-channel correlation degree set as the edge weight between the corresponding nodes, a dual-mode channel parameter correlation map G corresponding to the signal discrimination time window is constructed.

[0071] A preset dual-mode channel parameter reference correlation map G0 is generated (which can be preset based on the topology matching degree of the reference correlation map under the standard power grid communication scenario), and the formula is used:

[0072] The consistency coefficient of the spectrum was obtained. ;

[0073] Where e is the label of an edge in the dual-mode channel parameter correlation graph, and E is the set of all edges in the dual-mode channel parameter correlation graph. The weight of edge e in the dual-mode channel parameter correlation graph. The weight of edge e in the baseline correlation graph of dual-mode channel parameters; the larger the graph consistency coefficient, the better the current channel topology matches the standard state, and the lower the possibility of signal distortion.

[0074] For each node in the dual-mode channel parameter correlation graph, the following mutation determination and mutation clustering calculation operations are performed:

[0075] The normalized deviation of the channel state parameters corresponding to the node at adjacent acquisition times is calculated, and this deviation value is recorded as the node change value.

[0076] The mean value of the node change is calculated by averaging the node change values ​​corresponding to all adjacent acquisition times of the same node within the signal discrimination time window.

[0077] Calculate the deviation between the normalized value of the channel state parameter of the node at any acquisition time and the mean value of the node change mentioned above, and record the deviation value as the node mean deviation value.

[0078] Pre-set node change threshold and node average deviation threshold. For any acquisition time, if the node change value and node average deviation value at that time are both greater than or equal to the corresponding threshold, it is determined that the node has undergone a sudden change at the current acquisition time.

[0079] The total number of nodes that have undergone abrupt changes in the dual-mode channel parameter correlation graph within the statistical signal discrimination time window is recorded as the number of abrupt change nodes;

[0080] Divide the number of mutation nodes by the total number of nodes in the dual-mode channel parameter correlation map to obtain the mutation clustering degree TJ; the larger the value, the more concentrated the parameter mutations within the window, and the more likely there is interference superposition.

[0081] Obtain the maximum value Kmax and minimum value Kmin of the time-series correlation degree in the cross-channel correlation degree set, and calculate the mean of the time-series correlation degree in the cross-channel correlation degree set. And using the formula:

[0082] The correlation stability value W is obtained; the larger the value, the more stable the correlation between the two-mode parameters and the less affected by disturbances.

[0083] Constructing an interference source spectral feature library specifically includes: collecting HPLC and HRF channel state parameters under the action of typical interference sources such as motor start-up and shutdown, lightning surge, and industrial harmonics; constructing correlation maps corresponding to each interference type; extracting the spectral consistency coefficient-mutation clustering degree-correlation stability feature vector group for each interference type; and recording the change pattern of each interference type feature vector in the time dimension.

[0084] Construct a channel degradation feature library, which specifically includes: collecting HPLC and HRF channel state parameters under real degradation scenarios such as channel aging, line loss, and equipment failure, constructing correlation maps and extracting feature vector groups, and recording their temporal change patterns (the feature changes caused by degradation have the characteristics of being continuous and irreversible).

[0085] It should be noted that the core parameters of the two types of channels, HPLC (wired) and HRF (wireless), are collected in a targeted manner. The former focuses on wired transmission characteristic parameters such as line impedance and transmission signal-to-noise ratio, while the latter focuses on wireless transmission quality parameters such as spectrum distribution and symbol error rate. This avoids the problems of mixed dual-mode parameters and insufficient targeting in traditional monitoring. At the same time, a dual-mode channel time series parameter matrix is ​​constructed according to "time dimension - channel type - parameter category", which transforms discrete sampling data into structured data. Then, normalization preprocessing is used to eliminate the dimensional differences of different parameters (such as the ohm unit of impedance and the decibel unit of signal-to-noise ratio), which ensures the accuracy and comparability of subsequent cross-parameter and cross-channel calculations and provides a unified and standardized data base for overall channel state analysis.

[0086] By calculating the time-series correlation degree of HPLC-HRF, the parameters of the two types of channels are analyzed in pairs, and then a dual-mode channel parameter correlation map is constructed using this correlation as a weight. This transforms the implicit correlation between the dual-mode channels into a visualized and quantifiable topology. At the same time, by using the map consistency coefficient, the current channel topology state is compared with the benchmark correlation map G0 under the standard power grid scenario. This enables a macroscopic assessment of the overall channel operation status. Compared with the traditional scheme that only monitors the independent state of a single channel, this approach can more comprehensively reflect the collaborative operation status of the dual-mode communication system and avoid misjudgments of the state caused by isolated monitoring.

[0087] Three core evaluation indicators are proposed: spectrum consistency coefficient, mutation clustering degree, and correlation stability value. These indicators enable hierarchical evaluation of channel state from different dimensions. The spectrum consistency coefficient measures the degree of fit between the current state and the standard state, intuitively reflecting the overall risk of signal distortion. The mutation clustering degree accurately identifies the concentration of interference superposition by statistically analyzing the proportion of mutation nodes in the parameters. The correlation stability value assesses the stability of the correlation between the two-mode parameters and judges the depth of the channel's interference impact. These three indicators form a complementary evaluation system, which can complete the preliminary state screening before the formal identification of the source of distortion, narrowing the judgment scope and improving the judgment efficiency for subsequent processes.

[0088] The constructed interference source feature library (covering typical interferences such as motor start-stop and lightning surges) and channel degradation feature library (covering real degradations such as channel aging and line loss) respectively extracted the feature vectors and time-series change patterns under interference and degradation scenarios, and clarified the differences in the "persistent and irreversible" characteristics of degradation, providing a standardized reference benchmark for the hierarchical determination of distortion sources in step two. At the same time, the time-series record of the feature library makes up for the shortcomings of traditional static feature comparison, and can support the subsequent dynamic determination based on time-series fit. It fundamentally solves the core pain point of existing solutions that "cannot distinguish whether the distortion originates from false interference fluctuations or real channel degradation", and provides reliable feature support for the handover decision in step three.

[0089] Step Two: Analyze the comprehensive deviation value of the channel state and initiate the screening process for channels with distortion risk; construct the core feature vector of the channel topology, and calculate the feature matching degree and timing fit degree with the two types of spectral feature libraries of interference sources and channel degradation, respectively; perform hierarchical judgment of no channel anomalies, interference spurious fluctuations, real degradation, and composite anomalies; output the quantitative index of the channel's true state with distortion type label. The specific process is as follows:

[0090] Obtain the spectral consistency coefficient within the current identification and collection time window. The mutation clustering degree TJ and the association stability value W are determined using the formula: The channel state comprehensive deviation value Z is obtained, where a1, a2, and a3 are preset weighting coefficients;

[0091] If the overall deviation value of the channel state is greater than or equal to the preset threshold, the channel transmission state is determined to have deviated from the standard operating state and there is a risk of signal distortion. The dual-mode channel signal distortion source identification process is then initiated.

[0092] The specific process for identifying the source of signal distortion in dual-mode channels is as follows:

[0093] Define the core feature vector of the current channel topology as: ;

[0094] Calculate the matching degree S between the current channel topology core feature vector and the feature vectors of each interference type in the interference source spectrum feature library, and the matching degree S between the current channel topology core feature vector and the feature vectors of each degradation type in the channel degradation feature library. The matching degree calculation formula is as follows:

[0095] ,in,( , , S is a feature vector of any type of interference or degradation in the interference source map feature library or channel degradation feature library. The value range of S is [0,1]. The closer it is to 1, the higher the degree of matching between the current feature and the standard feature of that type.

[0096] Extract the maximum matching degree between the current channel topology core feature vector and the interference source feature library, and the maximum matching degree between the current channel topology core feature vector and the channel degradation feature library, and denot them as the maximum matching degree of interference and the maximum matching degree of degradation, respectively.

[0097] Based on the maximum matching degree of interference and the maximum matching degree of degradation, the interference type corresponding to the maximum matching degree of interference and the degradation type corresponding to the maximum matching degree of degradation are extracted respectively. Then, the temporal variation law of the core feature vector of the current channel topology and the temporal variation law of the standard feature vector of the corresponding interference type and degradation type in the corresponding feature library are calculated to obtain the temporal matching degree of interference source and the temporal matching degree of degradation.

[0098] The calculation formula is:

[0099] Where U represents the degree of fit;

[0100] This represents the feature value of the current feature vector at the i-th sampling time within the signal discrimination time window;

[0101] The standard feature value at the i-th sampling time within the signal discrimination time window is the feature vector corresponding to the interference type in the interference source map feature library or the corresponding degradation type in the channel degradation feature library.

[0102] The value of U ranges from [0,1]. The closer U is to 0, the higher the degree of fit between the temporal variation pattern of the core feature vector of the current channel topology and the standard temporal variation pattern of the corresponding type.

[0103] Preset matching degree thresholds and time series fit thresholds are used. Based on the dual-dimensional calculation results, stratified judgments are performed on the HPLC channel and HRF channel for scenarios of no anomalies, interference spurious fluctuations, real channel degradation, and combined anomalies. The specific judgment logic is as follows:

[0104] For any channel in HPLC and HRF, the status determination and index extraction are completed according to the following rules:

[0105] No anomaly determination: If the maximum matching degree of interference in the current channel is less than the preset matching degree threshold and the interference timing fit is greater than the preset timing fit threshold, and at the same time the maximum deterioration matching degree is less than the preset matching degree threshold and the deterioration timing fit is greater than the preset timing fit threshold, the current channel is determined to be in an anomaly state. In this case, the topological core features of the current association map (map consistency coefficient, mutation clustering degree, association stability) are directly retained without any correction operation.

[0106] Interference False Fluctuation Judgment: If the maximum matching degree of interference in the current channel is greater than or equal to the preset matching degree threshold and the timing matching degree of interference is less than or equal to the preset timing matching threshold, the current channel distortion is determined to be a false fluctuation caused by interference. Taking the benchmark correlation map under the standard scenario as a reference, the normalized value of the mutation node in the current map is corrected, the corrected correlation map is reconstructed, and the topological core features of the map are recalculated.

[0107] Channel true degradation determination: If the current channel degradation maximum matching degree ≥ matching degree threshold and degradation time sequence matching degree ≤ time sequence matching threshold, the current channel is determined to be truly degraded - retain the topological core features of the current association map (map consistency coefficient, mutation clustering degree, association stability), no correction processing is required;

[0108] Composite Anomaly Detection: If none of the above three criteria are met, it is determined to be a composite anomaly (interference superposition + channel degradation). First, using the baseline correlation map under the standard scenario as a reference, the normalized values ​​of the mutation nodes in the current map are corrected, the corrected correlation map is reconstructed, and the topological core features of the map are recalculated. Then, based on the corrected vector, the maximum degradation matching degree and degradation timing fit degree with the channel degradation feature library are recalculated. If the recalculated maximum degradation matching degree is ≥ the preset matching degree threshold, and the degradation timing fit degree is ≤ the preset timing fit threshold, then the secondary determination indicates that there is real channel degradation; otherwise, it is determined to be a false fluctuation caused by interference.

[0109] The spectral consistency coefficient under different signal distortion scenarios is used as a quantitative indicator of the true state of the channels of HPLC and HRF, and is bound to the corresponding distortion type label.

[0110] The HPLC channel output is represented as: HPLC channel spectral consistency coefficient + distortion type label;

[0111] The HRF channel output is represented as: HRF channel spectral consistency coefficient + distortion type label;

[0112] Distortion type labels include: transient interference (spurious fluctuations in interference scenarios), persistent degradation (real channel degradation scenarios), superimposed interference degradation (compound anomaly scenarios), and no distortion (no anomaly scenarios).

[0113] The spectrum consistency coefficient ranges from [0,1]. The closer the value is to 1, the better the actual transmission status of the corresponding channel and the higher the data reliability.

[0114] It should be noted that by integrating the spectrum consistency coefficient, mutation clustering degree, and correlation stability value obtained in step one, and introducing a preset weight coefficient, the comprehensive deviation value Z of the channel state is calculated, transforming the multi-dimensional discrete indicators into a single quantitative risk value. Then, a preset threshold is used to complete the preliminary judgment of whether the channel deviates from the standard state. Only channels with distortion risk are initiated for subsequent screening processes, avoiding invalid analysis of channels without abnormalities, significantly reducing the overall screening time, and improving the overall efficiency of dual-mode channel state judgment.

[0115] The system employs a two-dimensional judgment logic of "static feature matching + dynamic timing fit": first, it completes the preliminary classification of distortion types through feature vector matching degree, and then verifies whether the current channel feature change pattern conforms to the standard timing pattern of the corresponding interference or degradation through timing fit degree. This not only avoids misjudgment caused by relying solely on static feature matching (such as the problem of similar static features between instantaneous interference and short-term degradation), but also utilizes the difference between the "persistent and irreversible" timing characteristics of degradation and the "instantaneous and recoverable" characteristics of interference to achieve accurate differentiation between false interference fluctuations and real channel degradation, thus fundamentally solving the core problem that existing solutions cannot identify the source of distortion.

[0116] Differentiated judgment rules were formulated for four types of scenarios: no anomalies, interference-induced false fluctuations, real channel degradation, and composite anomalies. In particular, a special process of "first correcting the interference effect and then judging the degradation" was designed for composite anomalies. This not only eliminates the interference of interference on the degradation judgment, but also accurately identifies the complex scenario of "interference superimposed degradation". At the same time, standardized distortion type labels were assigned to different scenarios, realizing the refined and standardized classification of abnormal states and avoiding decision-making errors caused by the fuzzy anomaly classification in traditional solutions.

[0117] Using the spectrum consistency coefficient under different distortion scenarios as a quantitative indicator of the channel's true state and binding it with corresponding distortion type labels (instantaneous interference, persistent degradation, etc.), the spectrum consistency coefficient not only achieves an intuitive quantification of the channel's health level (with values ​​[0,1], where higher values ​​indicate better health), but also clarifies the nature and type of anomalies through labels. This provides a clear and unified basis for different decisions such as "temporary handover" and "long-term handover" in step three, ensuring the accuracy and feasibility of subsequent handover decisions.

[0118] For channels identified as experiencing "spurious interference fluctuations", step two corrects the normalized values ​​of abrupt change nodes by using the baseline correlation map as a reference, reconstructs the correlation map, and recalculates the core features. This eliminates the disturbance of instantaneous interference to the channel state parameters, restores the true transmission state of the channel, avoids misjudgment of the channel state due to interference, and ensures that subsequent decisions are based on real channel health data rather than false data under interference.

[0119] Step 3: Delineate primary and backup channels. Based on the channel's spectral consistency coefficient and distortion type label, execute primary / backup transmission mode maintenance, temporary handover and automatic revert for transient interference, and long-term primary / backup identity handover for persistent degradation, while coordinating operation and maintenance and ledger updates. Simultaneously, for composite abnormal channels, match the corresponding handover process according to the secondary judgment results. The specific process is as follows:

[0120] Preset channel health baseline threshold and abnormal handover trigger threshold;

[0121] Based on the configuration ledger of the dual-mode communication system, retrieve the initial primary and backup channel identifiers of the HPLC channel and HRF channel, and delineate the initial primary channel and the initial backup channel.

[0122] If, within the current identification and collection time window, the spectrum consistency coefficient of the primary and backup channels is higher than or equal to the preset channel health baseline threshold, and the distortion type label is "no distortion", then the current primary and backup channel transmission mode will be maintained.

[0123] If the distortion type label of the primary channel is transient interference and its spectrum consistency coefficient is lower than the abnormal handover trigger threshold, while the spectrum consistency coefficient of the backup channel is higher than or equal to the channel health baseline threshold and the distortion type label is no distortion, then a temporary handover procedure is triggered and the transmission mode is switched to the backup channel.

[0124] After the switchover is initiated, the spectrum consistency coefficient of the original primary channel is continuously monitored. When it rises above the channel health baseline threshold and the distortion type label changes to distortion-free, the switchback process is automatically triggered.

[0125] If the distortion type label of the primary channel is persistently degraded and its spectrum consistency coefficient is lower than the abnormal handover trigger threshold, while the spectrum consistency coefficient of the backup channel is higher than or equal to the channel health baseline threshold and the distortion type label is no distortion, then the long-term primary / backup identity handover process is triggered, the service transmission link is transferred to the backup channel, and the primary / backup identity is changed.

[0126] After the switchover is completed, the original primary channel is marked as a channel to be maintained. Based on the core characteristics of the degraded topology of this channel (spectral consistency coefficient, mutation clustering degree, correlation stability value), it is sent to the power grid operation and maintenance terminal. After the operation and maintenance is completed, and the verification result is that the spectrum consistency coefficient is higher than or equal to the channel health benchmark threshold and the distortion type label is no distortion, then it is marked as a standby channel, re-included in the standby sequence of dual-mode channels, and the dynamic ledger of primary and standby channel status is updated (i.e., first, the original standby channel is marked as the new primary channel; second, the original primary channel that has passed maintenance is marked as a standby channel; and third, the complete time node of this primary and standby identity switchover and operation and maintenance verification is recorded).

[0127] If the distortion type label of the primary channel is interference superposition degradation, and the secondary determination indicates that there is actual channel degradation, then the channel determination and handover procedure corresponding to the continuous degradation is adopted.

[0128] If the secondary determination is a false fluctuation caused by interference, the channel determination and switching procedure corresponding to the instantaneous interference shall be adopted.

[0129] It should be noted that corresponding handover strategies have been developed for different types of distortion (transient interference, persistent degradation, and interference superposition degradation): For channel anomalies caused by transient interference, a temporary handover + automatic back-off process is triggered, which not only ensures the continuity of service transmission but also avoids the waste of resources caused by long-term occupation of the backup channel; for channel anomalies caused by persistent degradation, a long-term primary / backup identity handover process is initiated to completely transfer the service link to the healthy channel, while coordinating with the operation and maintenance process; for compound anomalies, the corresponding process is matched according to the secondary judgment result, realizing precise adaptation of "scenario-policy" and solving the handover redundancy or untimely handover problems caused by the "one-size-fits-all" approach of traditional handover schemes;

[0130] The preset channel health baseline threshold and abnormal handover trigger threshold are combined with the spectrum consistency coefficient (quantifying the channel health level) output in step two and the distortion type label (clarifying the nature of the abnormality) as dual judgment conditions for handover triggering. This not only avoids erroneous handover caused by relying on a single indicator, but also makes the handover decision have a quantifiable and traceable standard, improving the rigor and standardization of handover operation.

[0131] For temporary switching triggered by momentary interference, step three designed an automatic switchback mechanism. After the consistency coefficient of the original primary channel spectrum rises back to the health baseline threshold and the distortion label turns to no distortion, the service link is automatically switched back to the original primary channel. This ensures service continuity during the interference period and restores the initial primary and backup channel configuration after the interference is eliminated, maximizing the use of dual-mode channel resources and avoiding load imbalance caused by the backup channel bearing the primary service for a long time.

[0132] For the original primary channel that is continuously deteriorating, not only is the long-term switchover of primary and backup status completed, but it is also marked as a channel to be maintained and the core characteristics of the deteriorated topology of the channel are synchronized to the power grid maintenance end, providing maintenance personnel with accurate fault location basis; at the same time, after the maintenance verification is qualified, it is automatically reinstated into the backup sequence and the dynamic ledger is updated, forming a complete closed loop of "channel anomaly - switchover decision - maintenance repair - channel reuse", which improves the long-term operational reliability of the dual-mode communication system from the two dimensions of communication link and equipment maintenance.

[0133] For complex anomalies caused by superimposed interference and degradation, step three matches the handover process for persistent degradation or instantaneous interference based on the secondary judgment results of step two. This not only eliminates the interference on the handover decision but also accurately responds to real channel degradation problems, achieving seamless coverage for all types of anomaly scenarios. It avoids decision-making errors in complex anomaly scenarios and ensures the stable operation of the dual-mode communication system under various complex power grid interference coupling scenarios.

[0134] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A rapid switching method for HPLC+HRF dual-mode operation, characterized in that, Includes the following steps: Step 1: Collect channel state parameters of HPLC and HRF channels, organize them into a dual-mode channel time series parameter matrix and complete normalization; construct HPLC-HRF time series correlation pairs and calculate the time series correlation degree, build a dual-mode channel parameter correlation map; calculate the map consistency coefficient, mutation clustering degree, and correlation stability value as core indicators; at the same time, establish two types of map feature libraries: interference source and channel degradation. Step 2: Analyze the overall deviation value of the channel state and initiate the screening process for channels with distortion risk; construct the core feature vector of the channel topology and calculate the feature matching degree and timing fit degree with the two types of spectrum feature libraries of interference source and channel degradation respectively; perform hierarchical judgment of no channel anomaly, interference false fluctuation, real degradation, and composite anomaly; Output a quantitative index of the channel's true state with distortion type labels; Step 3: Delineate the primary and backup channels. Based on the channel's spectrum consistency coefficient and distortion type label, perform primary and backup transmission mode maintenance, temporary handover and automatic return for transient interference, and long-term primary and backup identity handover for persistent degradation, while linking operation and maintenance and ledger updates. At the same time, match the corresponding handover process for composite abnormal channels according to the secondary judgment results.

2. The rapid switching method for HPLC+HRF dual-mode according to claim 1, characterized in that: The process of constructing the dual-mode channel timing parameter matrix and the HPLC-HRF timing correlation pair is as follows: Set the signal discrimination acquisition time window, and acquire the channel state parameters of HPLC and HRF within the current signal discrimination time window; The channel state parameters of HPLC and HRF collected within the signal discrimination time window are organized according to the dimensions of time, channel type, and parameter category to form a dual-mode channel time series parameter matrix. The measured values ​​of all parameters in the dual-mode channel timing parameter matrix are normalized and preprocessed. By pairwise combining all channel state parameters in the HPLC channel with all channel parameters in the HRF channel, several HPLC-HRF time series correlation pairs are obtained.

3. The rapid switching method for HPLC+HRF dual-mode according to claim 2, characterized in that: The specific process for calculating the core indicators of spectrum consistency coefficient, mutation clustering degree, and association stability value is as follows: Obtain the time-normalized data of dual-channel state parameters of any HPLC-HRF time-series correlation pair within the signal discrimination time window, calculate the time-series correlation degree of the time-series correlation pair, and summarize the time-series correlation degrees of all time-series correlation pairs to form a cross-channel correlation degree set. For each node in the association graph, calculate the node change value, the mean node change value, and the mean node deviation value at adjacent acquisition times. Combine this with a preset threshold to determine whether the node has undergone a sudden change. Count the number of nodes that have undergone a sudden change and calculate the degree of sudden change clustering by combining the total number of nodes. Obtain the extreme values ​​and mean values ​​of the cross-channel correlation set, and calculate the correlation stability value accordingly.

4. The rapid switching method for HPLC+HRF dual-mode according to claim 3, characterized in that: The specific process of establishing two types of spectral feature databases—interference source and channel degradation—is as follows: Constructing an interference source spectral feature library specifically includes: collecting HPLC and HRF channel state parameters under the influence of all typical interference sources, constructing correlation maps corresponding to each interference type, and extracting the spectral consistency coefficient-mutation clustering degree-correlation stability feature vector group for each interference type. The channel degradation feature library is constructed, which specifically includes: collecting HPLC and HRF channel state parameters under all real degradation scenarios, constructing correlation maps corresponding to each degradation scenario, and extracting the corresponding feature vector groups.

5. The rapid switching method for HPLC+HRF dual-mode according to claim 4, characterized in that: The specific process for analyzing the channel state comprehensive deviation value and initiating the screening procedure for channels with distortion risk is as follows: Obtain the spectrum consistency coefficient, mutation clustering degree, and correlation stability value corresponding to the current identification and collection time window, and perform comprehensive analysis to obtain the comprehensive deviation value of the channel state; If the overall deviation value of the channel state corresponding to the current identification and collection time window is greater than or equal to the corresponding preset threshold, it is determined that the channel transmission state has deviated from the standard operating state and there is a risk of signal distortion, and the dual-mode channel signal distortion source identification process is initiated.

6. The rapid switching method for HPLC+HRF dual-mode according to claim 5, characterized in that: The specific process of constructing the core feature vector of the channel topology and calculating the feature matching degree and time series fit degree with the two types of spectral feature libraries of interference sources and channel degradation is as follows: Define the core feature vector of the current channel topology, and calculate the matching degree between this feature vector and the feature vectors of each interference type in the interference source map feature library and the feature vectors of each degradation type in the channel degradation feature library. Extract the maximum matching degree of the feature vector with the interference source map feature library and the maximum matching degree of the channel degradation feature library, and simultaneously obtain the interference type and degradation type corresponding to the maximum matching degree; Calculate the temporal variation pattern of the core feature vector of the current channel topology, and the consistency of the temporal variation pattern of the standard feature vectors of the interference type and degradation type corresponding to the maximum matching degree in their respective feature libraries, and then obtain the temporal matching degree of the interference source and the temporal matching degree of degradation.

7. The rapid switching method for HPLC+HRF dual-mode according to claim 6, characterized in that: The specific process for outputting the channel true state quantization index with distortion type label is as follows: For any channel in HPLC and HRF, the status determination and index extraction are completed according to the following rules: No anomaly determination: If the maximum matching degree of interference in the current channel is less than the preset matching degree threshold and the interference timing fit is greater than the preset timing fit threshold, and at the same time the maximum matching degree of degradation is less than the preset matching degree threshold and the degradation timing fit is greater than the preset timing fit threshold, the current channel is determined to be in an anomaly state, and the topological core features of the current association map are retained. Interference False Fluctuation Judgment: If the maximum matching degree of interference in the current channel is greater than or equal to the preset matching degree threshold and the timing matching degree of interference is less than or equal to the preset timing matching threshold, the current channel distortion is determined to be a false fluctuation caused by interference. The normalized value of the mutation node in the graph is corrected with reference to the standard scenario benchmark correlation graph, the correlation graph is reconstructed and its topological core features are recalculated. Channel true degradation determination: If the current channel degradation maximum matching degree ≥ matching degree threshold and degradation time sequence matching degree ≤ time sequence matching threshold, it is determined to be true degradation, and the topological core features of the current association map are retained; Composite anomaly determination: If the above three determination conditions are not met, it is a composite anomaly. First, the normalized value of the mutation node is corrected according to the standard scenario benchmark correlation map and the correlation map is reconstructed. The new topology core features are calculated. Then, based on the corrected features, the maximum matching degree and timing fit of the channel degradation feature library are recalculated. If the new matching degree and fit meet the degradation determination threshold, it is determined as a real degradation. Otherwise, it is determined as interference false fluctuation. The spectral consistency coefficient under different distortion scenarios is used as the quantitative indicator of the true state of the corresponding channel, and a distortion type label is attached to it. The distortion type labels include: transient interference, persistent degradation, interference superposition degradation, and no distortion.

8. The rapid switching method for HPLC+HRF dual-mode according to claim 7, characterized in that: The specific process for maintaining primary / standby transmission mode, temporary switching due to transient interference, and automatic reverting is as follows: Retrieve the initial primary and backup channel identifiers of the HPLC and HRF channels, and delineate the initial primary and backup channels; If, within the current screening window, the consistency coefficients of the primary and backup channel maps both reach the preset health baseline threshold and the distortion label is distortion-free, the existing primary and backup transmission mode is maintained. If the primary channel experiences transient interference and the spectrum consistency coefficient is below the abnormal handover threshold, and the backup channel is in normal condition, a temporary handover to the backup channel is triggered. After a temporary switchover, the original primary channel is continuously monitored. Once its spectrum consistency coefficient rises to the healthy threshold and the distortion label becomes distortion-free, a switchback is automatically triggered to restore the original primary / backup transmission mode.

9. The rapid switching method for HPLC+HRF dual-mode according to claim 8, characterized in that: The specific process for performing a long-term primary / backup identity switchover for persistently degraded channels, along with coordinated operation and maintenance and ledger updates, and matching the corresponding switchover procedure for complex abnormal channels based on the secondary judgment results, is as follows: If the distortion type label of the primary channel is continuously degraded and its spectrum consistency coefficient is lower than the abnormal handover trigger threshold, while the spectrum consistency coefficient of the backup channel reaches the channel health baseline threshold and the distortion type label is no distortion, the long-term primary / backup identity handover process is triggered, the service transmission link is transferred to the backup channel and the primary / backup identity change is completed. After the switch, the original primary channel is marked as a channel to be maintained, and its degraded topology core characteristics are synchronized to the power grid maintenance end. When the maintenance is completed and the verification indicators meet the health benchmark threshold and the distortion label is no distortion, it is re-included in the standby sequence and the dynamic ledger of primary and standby channel status is updated. If the primary channel is subject to interference superimposed degradation, and the secondary determination indicates genuine degradation, then a continuous degradation handover procedure is adopted; if the secondary determination indicates spurious interference fluctuations, then a handover procedure corresponding to instantaneous interference is matched.

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