A cable branch box multi-modal collaborative control system and method

Abstract

The application discloses a kind of cable branch box multimode collaborative control system and method, it is related to power equipment intelligent control technical field, including the following steps: in the cable branch box operating environment injection low amplitude synchronous detection pulse, acquisition detection pulse feedback response signal, according to feedback response signal inversion interference signal arrival sequence, construct micro time slot interference image, and generate time sequence baseline for interference identification benchmark.The application establishes time sequence baseline by micro time slot detection, combined with phase consistency analysis, multi-channel sampling and cross-cycle evolution model, realize the accurate identification of microsecond interference signal.Locking phase suppression and delay buffer mechanism are used to reduce the probability of false triggering, and the safety release of peak energy is realized by phase turn-back limiting and energy guiding mode, which significantly improves the stability and anti-interference ability of cable branch box in complex electromagnetic environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of power equipment, and particularly relates to a cable branch box multi-modal collaborative control system and method. BACKGROUND

[0002] The "cable branch box multi-modal collaborative control" refers to, in the operation and management process of the cable branch box, no longer relying on a single sensor or a single control logic, but introducing multiple perception dimensions (such as electrical parameters, environmental parameters, partial discharge signals, temperature and humidity, video images, vibration acoustic information, etc.) at the same time, fusing and processing these heterogeneous and multi-source data, and forming a multi-modal information collaborative judgment mechanism. On this basis, the control system can realize more accurate state recognition, fault warning and action decision according to the complementarity and correlation between different modal data, so as to dynamically optimize the operation condition of the branch box and improve the safety, stability and intelligent level of the power distribution network. In other words, the multi-modal collaborative control is a closed-loop mode of multi-dimensional perception + fusion analysis + linkage execution, which upgrades the cable branch box from "single-point monitoring" to an active control unit of "comprehensive perception + intelligent decision".

[0003] The prior art has the following disadvantages:

[0004] In the prior art, the cable branch box usually relies on a fast switching mode to complete load switching, protection action switching and state self-checking and other dynamic operations in the operation process. However, in such a fast switching operation mode, the electromagnetic interference signals existing in the external environment are easily continuously superimposed in a micro-time slot and collapsed into a sharp pulse with an amplitude far exceeding the normal threshold in a very short time scale. Since the appearance and disappearance of the sharp peak signal occur in the microsecond level, and the controller in the prior art usually takes the millisecond level as the response and judgment time window, the system cannot timely identify such abnormal interference signals in the collection and judgment process. As a result, the controller is prone to misjudge the sharp peak signal as a real overcurrent, short circuit or partial discharge fault, thereby triggering high-risk actions such as tripping and isolation, which not only causes abnormal interruption of the operation of the cable branch box, but also may cause large-scale power supply instability and equipment damage.

[0005] The above information disclosed in the background section is only used to enhance the understanding of the background of the present disclosure, and therefore it can include information that does not constitute prior art known to those of ordinary skill in the art. SUMMARY

[0006] The purpose of the present application is to provide a cable branch box multi-modal collaborative control system and method, which establishes a timing baseline through micro-slot detection, combines phase consistency analysis, multi-channel sampling and cross-cycle evolution model to realize accurate identification of microsecond-level interference signals. The use of phase-locked suppression and delay buffer mechanism reduces the probability of false triggering, and the use of phase foldback limiting and energy guiding methods realizes the safe release of peak energy, significantly improves the stability and anti-interference ability of the cable branch box in complex electromagnetic environment, to solve the problems in the above background technology.

[0007] In order to achieve the above purpose, the present application provides the following technical scheme: a cable branch box multi-modal collaborative control method, comprising the following steps:

[0008] Inject low-amplitude synchronous detection pulses into the operating environment of the cable branch box, collect feedback response signals of the detection pulses, inverse the arrival sequence of the interference signals according to the feedback response signals, construct a micro-slot interference image, and generate a timing baseline for interference identification reference;

[0009] On the basis of the timing baseline, calculate the phase consistency index between multiple interference signals, lock the trigger time window of interference signal superposition collapse according to the phase consistency index, and extract a candidate peak signal set within the trigger time window;

[0010] For the candidate peak signal set, simultaneously perform first channel high-fidelity data acquisition and second channel phase disturbance data acquisition, and by comparing the amplitude difference of the two channels at the same time point, eliminate the pseudo-peak signals with inconsistent amplitudes, and obtain an effective peak signal set for subsequent analysis;

[0011] Based on the historical distribution characteristics of the effective peak signal set, a cross-cycle peak signal evolution model is established to predict the peak risk signal appearing in the next microcycle, and according to the prediction result, a phase-locked signal suppression time window is set and an energy release channel is configured to release the risk energy in advance;

[0012] Within the phase-locked signal suppression time window, an adaptive delay micro-buffer mechanism is enabled to extend the peak signal in the time domain to reduce the instantaneous slope of the peak signal and interrupt the cumulative trigger path of false action;

[0013] Based on the output signal of the adaptive delay micro-buffer mechanism, a phase foldback limiting process is started to guide the residual peak signal to the anti-signal convergence path, and the limiting process parameters are dynamically adjusted in combination with the real-time residual signal to realize the continuous dissipation and safe transfer of peak energy.

[0014] Preferably, the timing baseline generation step is as follows:

[0015] Synchronous detection pulses with an amplitude of 10-30 volts, a pulse width of less than 5 microseconds and a repetition period of 20 milliseconds are injected into the cable line under the steady-state operating condition of the cable branch box;

[0016] By arranging four voltage acquisition points at the incoming terminal, the adapter joint, the outgoing terminal and the load lead terminal, the response time, amplitude and waveform trajectory of the detection pulse are respectively acquired, and the response time of the incoming terminal is taken as the zero point to establish a signal propagation sequence map;

[0017] By normalizing the response times of multiple acquisition points, amplitude normalization and waveform interpolation smoothing, a standardized time sequence baseline is constructed with the incoming terminal as the starting node.

[0018] The established time sequence baseline is used as a time discrimination reference for interference recognition, and is used in subsequent steps to compare the degree of deviation of the actual operating signal in response time and propagation order, to identify the trigger precursor of the sharp peak interference.

[0019] Preferably, the candidate sharp peak signal set extraction step is as follows:

[0020] The detection pulse response data in multiple cycles are acquired at the incoming terminal, outgoing joint, middle section copper bar and load lead terminal, and the phase offset sequence of each sampling point is constructed with the first response time of the incoming terminal as the reference;

[0021] Periodic differential processing is performed on the phase offset sequence to identify whether multiple sampling points show a phase synchronization convergence trend within a given time period, and to detect the aggregation degree of the response time of each point;

[0022] When the response time offset value of multiple sampling points is less than 300 nanoseconds within the same time interval, the amplitude change rate exceeds 50 volts per microsecond, and the main waveform energy density is significantly higher than five times the background noise, the time interval is marked as the trigger time window of the interference signal superposition collapse;

[0023] Within the trigger time window, based on the voltage signal rise rate, amplitude mutation degree, duration and periodicity characteristics of each sampling point, the sharp peak signal segments that meet the high mutation and high consistency conditions are screened out to form a candidate sharp peak signal set, and the corresponding time, amplitude and position parameters are marked.

[0024] Preferably, the effective sharp peak signal set generation step is as follows:

[0025] High-fidelity acquisition channels and phase disturbance acquisition channels are respectively arranged at the incoming terminal, outgoing copper bar, middle section adapter copper bar and load lead terminal, and the voltage waveforms corresponding to the candidate sharp peak signals are synchronously acquired by the two channels.

[0026] The candidate spike signals collected in two channels are time-aligned and amplitude-normalized, the amplitude difference of each sampling point is calculated, and the waveform consistency characteristics are analyzed;

[0027] When the amplitude difference of more than 70% of the total sampling points in the two channels is less than 5% of the maximum amplitude, and the amplitude difference at the peak point is less than 3% of the maximum amplitude, and the above conditions are met in three consecutive detection periods, the candidate spike signal is determined as an effective spike signal and is retained;

[0028] All candidate spike signals that meet the consistency requirements are combined into an effective spike signal set, and their occurrence time, sampling point number, peak voltage and stability grade parameters are recorded.

[0029] Preferably, according to the prediction result, the phase signal suppression time window is set, and the energy discharge channel is configured to release the risk energy in advance. The specific steps are as follows:

[0030] The time position, amplitude size, rising rate and propagation path of the effective spike signal in multiple consecutive working periods are extracted, a spike signal time dense atlas is constructed, and the high frequency aggregation area and path repeatability characteristics in the period are analyzed;

[0031] According to the time position offset, amplitude change trend and path stability, an evolution feature group of the spike signal is constructed, and the time interval of the spike risk signal in the next micro-period is predicted;

[0032] According to the predicted time interval, the phase signal suppression time window is set, the high sensitivity fault recognition process is suspended, and the transient waveform buffering mechanism is started;

[0033] In the phase signal suppression time window, the shunt resistance network, the voltage-dependent resistor and the surge absorbing inductor are connected to construct the energy discharge channel, guide the spike signal energy to dissipate to the low resistance path, and reduce the impact on the main circuit.

[0034] Preferably, in the phase signal suppression time window, the adaptive delay micro-cache mechanism is enabled, and the spike signal is expanded in the time domain. The steps are as follows:

[0035] After the phase signal suppression time window is activated, the spike signals collected in the window are cached, the cache unit capacity is one thousand and twenty-four bytes, supports nanosecond-level read-write response capability, and continuously records the voltage value, time stamp and rising edge change rate. The cache period is consistent with the phase window;

[0036] The delay expansion operation is performed on the cache signal, the signal segment with voltage mutation exceeding 80 volts within one microsecond is extended to 3-5 times of the sampling interval, the rising segment slope is reduced to 1 / 3-1 / 5 of the original, and the waveform with amplitude falling back by more than 60 volts within one microsecond is reconstructed into a slow descending platform, so that the signal form is smooth;

[0037] The signal after the extension processing is injected into the protection discrimination path again, and logical judgment is performed according to the action threshold and the action duration, so as to verify that the extended signal no longer triggers the false action, thereby cutting off the trigger chain formed by the continuous superposition of the peak signals.

[0038] Preferably, based on the output signal of the adaptive delay cache mechanism, the phase foldback limiting process is started, and the steps are as follows:

[0039] With the extended output signal as the input, the residual peak signal with an amplitude greater than a preset warning threshold in the waveform is discriminated, and a negative signal with the same amplitude, frequency, time synchronization and opposite voltage direction is generated in the physical circuit, which is guided to the energy absorption end through a parallel branch path for dissipation;

[0040] At the same time when the negative signal path is started, the limiting voltage suppression link of the main channel dynamically adjusts the action threshold and the response time according to the amplitude, duration and slope characteristics of the residual signal, so as to realize the cutting and delay suppression of the voltage peak;

[0041] The temperature rise, current change rate and impedance drift of the negative signal guide path are monitored, and when the temperature rise exceeds the set value or the current appears reverse fluctuation, the control unit switches to the standby attenuation path, so as to ensure that the residual energy is completely absorbed and safely transferred.

[0042] A cable branch box multi-mode collaborative control system includes an interference image construction module, an interference focusing identification module, a peak checking and cleaning module, a peak prediction and suppression planning module, a delay expansion peak clipping module, and a residual energy absorption and limiting control module:

[0043] The interference image construction module injects a low-amplitude synchronous detection pulse in the cable branch box operating environment, collects the feedback response signal of the detection pulse, inverses the arrival sequence of the interference signal according to the feedback response signal, constructs a micro-time slot interference image, and generates a time sequence baseline for interference identification reference;

[0044] The interference focusing identification module calculates the phase consistency index between multiple interference signals on the basis of the time sequence baseline, locks the trigger time window of the interference signal superposition collapse according to the phase consistency index, and extracts a candidate peak signal set in the trigger time window;

[0045] The spike checking and cleaning module is used for simultaneously performing first channel high-fidelity data acquisition and second channel phase disturbance data acquisition on the candidate spike signal set, and by comparing the amplitude difference of the two channels at the same time point, the amplitude inconsistent false spike signal is removed, and the effective spike signal set for subsequent analysis is obtained.

[0046] The spike prediction and suppression planning module establishes a cross-cycle spike signal evolution model based on the historical distribution characteristics of the effective spike signal set, predicts the spike risk signal appearing in the next microcycle, sets a phase locking signal suppression time window according to the prediction result, and configures an energy discharge channel to release the risk energy in advance.

[0047] The delay expansion and peak clipping module enables an adaptive delay micro-cache mechanism within the phase locking signal suppression time window, and performs delay processing on the spike signal in the time domain to reduce the instantaneous slope of the spike signal and interrupt the cumulative trigger path of the misoperation.

[0048] The residual energy absorption and amplitude limiting control module starts a phase folding amplitude limiting processing procedure based on the output signal of the adaptive delay micro-cache mechanism, guides the residual spike signal to the inverse signal bus path, and dynamically adjusts the amplitude limiting processing parameters in combination with the real-time residual signal to realize the continuous dissipation and safe transfer of the spike energy.

[0049] In the above technical solution, the technical effects and advantages provided by the present application are as follows:

[0050] The present application establishes a timing baseline and fuses phase consistency analysis, multi-channel comparative sampling and cross-cycle evolution model from micro-time slot detection, not only improves the recognition accuracy of microsecond-level interference signals, but also effectively reduces the mis-triggering probability of interference signals through phase locking suppression and delay caching mechanisms. At the same time, by means of phase folding amplitude limiting and reverse energy guiding means, the physical release and safe transfer of spike energy are realized, which significantly improves the stable operation ability of the cable branch box in complex electromagnetic environment, avoids mis-tripping, mis-isolation and other high-risk actions, and enhances the overall anti-interference ability and intelligent level of the power distribution system. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments or prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0052] Figure 1 The method flowchart of the cable branch box multi-modal collaborative control method of the present application.

[0053] Figure 2A module schematic diagram of a cable branch box multi-modal collaborative control system of the present application. DETAILED DESCRIPTION

[0054] Example implementations will now be described more fully with reference to the accompanying drawings. Example implementations may, however, be implemented in many different forms and should not be construed as limited to the examples set forth herein; rather, these example implementations are provided so that this disclosure will be thorough and complete, and will fully convey the inventive concept to those skilled in the art.

[0055] The present application provides a cable branch box multi-modal collaborative control method as shown in Figure 1 The present application provides a cable branch box multi-modal collaborative control method as shown in

[0056] A low-amplitude synchronous detection pulse is injected into the cable branch box operating environment, the feedback response signal of the detection pulse is collected, the arrival sequence of the interference signal is inverted according to the feedback response signal, a micro-time slot interference image is constructed, and a time sequence baseline for interference identification reference is generated;

[0057] In the initial stage of operation, the interference propagation image is constructed by active detection and the time sequence reference baseline is generated to provide a basis for subsequent multi-modal judgment. The specific process of this step is as follows:

[0058] Under the condition that the cable branch box is in a steady state of operation, a low-amplitude synchronous detection pulse is injected into the cable line at an appropriate time. In order to ensure the effectiveness and safety of the injected signal, an initial evaluation of the current operating state of the branch box is required before the pulse is injected. The evaluation indicators include: the internal bus voltage of the branch box should be maintained within ±2% of the rated value; the load current change rate of the branch cable should not exceed 5% / second; the internal temperature of the cable should be within the device working allowable range, for example, between 15℃ and 55℃; the grounding resistance value should be less than 4 ohms to ensure the stability of the electromagnetic coupling path; the spatial electromagnetic background noise intensity in the cable channel should not be higher than 50 microvolts / meter to avoid the pulse signal being overwhelmed by environmental interference. After completing the above evaluation, the detection pulse generator is started. The pulse is unipolar, narrow pulse width, constant amplitude waveform, with an amplitude range of 10-30 volts, a duration of less than 5 microseconds, and a pulse repetition period set to 20 milliseconds. The injection method is: injecting the detection pulse signal from the incoming line terminal, so that it propagates along the cable transmission path to the outgoing line terminal and the end joint, ensuring that the signal can cover the main conductive structure of the entire branch cable.

[0059] During the injection of the probe pulse, the feedback signals are received and sampled by voltage collection nodes arranged at key positions inside the cable branch box. The specific collection node arrangement is as follows: the first collection point is arranged inside the incoming terminal, used to record the initial injection time and the signal sending reference time; the second collection point is arranged near the cable fixed support structure adjacent to the adapter joint, used to record the response characteristics of the signal at the winding path turning point; the third collection point is arranged at the end of the transition shield layer before the outgoing terminal, used to observe the amplitude attenuation and propagation delay of the signal in the late transmission stage; the fourth collection point is arranged between the load lead-out terminal and the connecting bolt, used to record the amplitude change and waveform deformation of the end signal. Each collection point uses a high-speed sampling device with a sampling rate of more than 10 megahertz, and the data recording format is time stamp + amplitude + waveform track. The signal transmission line uses a shielded twisted pair structure, and the time sampling accuracy of each node is controlled within 100 nanoseconds. To ensure the accuracy of the detection results, the system is set to collect only once in the same pulse cycle, avoiding data overlap errors caused by multiple sampling. The obtained feedback signals are saved in time sequence form for subsequent inversion of the interference path.

[0060] Based on the probe pulse response data obtained by the above multiple collection points, a complete signal propagation sequence map is established by comparing the relative order of response times and amplitude variation characteristics of each node. Taking the incoming terminal as the time zero point, the response delay time of each collection point relative to the zero point is calculated one by one. For example, if the pulse response time at the incoming terminal is T0, the response at the adapter joint is T1, the response at the outgoing terminal is T2, and the response at the end load is T3, the constructed propagation sequence is T0→T1→T2→T3. This propagation sequence not only reflects the physical transmission characteristics of the electrical signal in the conductor structure, but also implies the influence of the medium structure, inductance and capacitance distribution, contact impedance and connection integrity of the cable path. To enhance the analysis capability of the map, further quantitative processing of the signal amplitude variation rate is required. For example, if the amplitude at the adapter joint position decreases by more than 30%, it indicates that there may be impedance mismatch or local coupling interference, which needs to be introduced into the correction coefficient in the subsequent discrimination. For the secondary reflection or ringing waveform appearing in the response signal, the "first main response wave head effective" judgment principle is adopted to filter out the secondary response of the high-frequency tail part, ensuring that only the propagation trajectory with main path significance is retained in the propagation map. To realize the mapping between the spatial structure and the time sequence, the cable layout drawing is also referred to during the construction of the map, and the signal propagation path is marked on the cable structure diagram to form a complete spatial-time two-dimensional interference image.

[0061] After completing the construction of the signal propagation map, a standardized time sequence baseline is established according to the first response time of each response point. The time sequence baseline is used as the time discrimination basis in the subsequent peak interference identification process, and its generation process includes three sub-steps.

[0062] Firstly, all response point timestamps are uniformly normalized to eliminate random offset errors between pulses;

[0063] Secondly, the amplitude of each response point waveform is normalized to the range [0, 1] by using a fixed normalization ratio, which facilitates joint modeling of the time axis and amplitude variation;

[0064] Thirdly, the normalized data is smoothed and interpolated to eliminate transient high-frequency jitter caused by on-site electromagnetic fluctuations.

[0065] The final timing baseline is a time data set that starts at the incoming terminal and increments node by node. It has a clear structure, stable waveform, and uniform amplitude distribution. In the subsequent interference identification process, if the actual running time signal collected in the actual running process deviates significantly from the timing baseline in terms of response time or propagation order, it can be used as a precursor to trigger a sharp peak interference, providing an accurate time anchor point for predicting and suppressing abnormal signals.

[0066] The purpose of this step is to lay the time reference and response characteristic foundation for intelligent identification and precise control of cable branch boxes in complex electromagnetic interference environments. By actively injecting low-amplitude, short-time-width synchronous detection pulses into the cable branch box under stable operating conditions, and synchronously collecting response signals during the pulse propagation process at multiple key nodes, the real propagation time delay, amplitude variation, and waveform morphology of the signal in the cable path can be fully understood. Through the inversion of these feedback signals, the actual arrival sequence of the interference signal is established, revealing the real trajectory of the interference in the structure. The micro-time slot interference image and the standardized timing baseline formed ultimately serve as a reference standard for determining whether there is a sharp peak abnormal interference signal in the subsequent running process, which not only improves the timing accuracy of the subsequent identification process, but also provides an accurate time anchor point and spatial correlation basis for tracing the source of interference, analyzing the evolution trend, and regulating the interference response mechanism. This active sensing link greatly improves the system's ability to identify and accurately distinguish microsecond-level interference behavior, and is the basis for building a multi-modal collaborative control mechanism.

[0067] On the basis of the timing baseline, the phase consistency index between multiple interference signals is calculated, the trigger time window of interference signal superposition and collapse is locked according to the phase consistency index, and a candidate sharp peak signal set is extracted within the trigger time window;

[0068] After the time sequence baseline for interference identification reference is completed, a method based on phase consistency analysis is proposed to identify and extract the spike interference signals caused by electromagnetic disturbance in the running process. By identifying the synchronous superposition behavior of multiple interference signals in the time sequence, a signal set with typical spike characteristics is extracted to provide input basis for subsequent discrimination and response. The process includes the following steps:

[0069] Based on the time sequence baseline constructed in the previous stage, low-amplitude synchronous detection pulses are repeatedly injected at fixed intervals during the operation of the cable branch box. Response data of multiple sampling points inside the branch box are collected after each injection. The sampling points are set inside the incoming line terminal, the center connection point of the outgoing line connector, the middle section of the copper bar and the load terminal post. Each sampling point is equipped with a high-speed voltage acquisition unit with a sampling rate not less than 10 million times per second, and an internal time reference is provided for unified time labeling. After completing more than fifty consecutive detection pulse injection operations, the main response wave head time in each response process is collected and arranged, i.e. the time when the first voltage mutation of each sampling point occurs in each pulse, to form a multi-cycle, same-node response time column.

[0070] The above multi-cycle response time column is subjected to time synchronization processing to establish the response time change trend trajectory of the same sampling point in multiple cycles and perform horizontal comparison. In this process, the response time of the incoming line terminal is taken as the reference zero point, and the response time offset values of the remaining sampling points are uniformly adjusted to relative time differences to construct the phase change trajectory of each node. For example, if the response time of the outgoing line connector is 2.3 microseconds in the first cycle, 2.1 microseconds in the second cycle, and 2.4 microseconds in the third cycle, the phase offset sequence of this point is +0.2 microseconds, 0 microseconds, and +0.3 microseconds. After similar calculations are completed for all sampling points, the phase offset values of each point are integrated according to the time dimension to form a cluster of periodic phase change curves. To enhance the expression accuracy of the trend, each curve is subjected to first-order difference processing to calculate the response time change between adjacent cycles and identify the phase convergence or divergence trend in the time period.

[0071] On the basis of the phase change curve cluster, the aggregation degree of the phase shift value in a specific time window is detected to lock the trigger time window in which the peak interference superposition may occur. To achieve the identification, first, the time aggregation peak value of the phase shift curve appearing in each sampling point is extracted, that is, the time period in which the phase shift approaches zero is identified. When the phase shift values of multiple sampling points approach zero in the same time interval, and the response time difference value is not more than 300 nanoseconds, the amplitude change rate is greater than 50 volts per microsecond, the response waveform rise time is less than 1 microsecond, and the energy density of the wave head part is significantly higher than 5 times the background noise, it is determined that the time period is a highly concentrated area of phase consistency. By observing the repeated occurrence in fifty injection cycles, if the frequency of the phase convergence phenomenon appearing in the same time period is more than 80%, it is determined that the trigger time window in which the interference signal may occur superposition collapse. The start and end time of the window is defined by the start point of the phase convergence of all sampling points appearing for the first time to the end point of the response of the last group of sampling points, and is usually controlled within 3 to 6 microseconds. The locking of this time window establishes a boundary range for the subsequent peak feature extraction.

[0072] In the locked interference signal trigger time window, the response signal waveform of each sampling point is analyzed in detail, and the waveform segment with high amplitude mutation, extremely steep rising edge and extremely short duration is extracted to form a candidate peak signal set. The specific extraction method is: in the trigger time window, find the signal segment with a voltage signal rising slope greater than 100 volts per microsecond and a continuous holding time less than 2 microseconds for each sampling point; then judge whether the waveform segment is the maximum amplitude signal in the corresponding cycle and its peak value is more than 1.5 times the average of the historical same point response signal; finally, further verify whether the signal repeatedly appears in similar form in multiple cycles, and the peak value time point offset is not more than 200 nanoseconds. After meeting the above three conditions, the waveform segment is defined as a candidate peak signal, and its occurrence time, peak amplitude, rise time, duration and corresponding sampling point position are recorded. Finally, all waveform segments that meet the conditions will form a candidate peak signal set in the form of structured data, and will be sorted and saved for subsequent steps of screening, checking and predicting.

[0073] The role of this step is to identify the time period when the interference signals appear synchronous superposition phenomenon in the propagation process on the basis of the constructed timing baseline, and accurately extract the signal set with sharp peak characteristics according to the time response performance of the interference signals at each sampling point in multiple periods. By comparing the relative response time of different sampling points in multiple detection pulse responses horizontally, the phase change trend is calculated, and the concentration characteristics of multiple sampling points in a specific time period are identified. When the phase consistency is highly concentrated, it often means that multiple weak interference signals have accumulated and superimposed in this time period, and then collapsed to form a sharp peak signal with a sudden increase in amplitude and a very short duration. By locking these trigger time windows and performing high-precision waveform analysis within the window, the suspected real peak signal samples can be extracted, and the interference of ordinary noise and non-synchronous interference can be excluded, thereby laying a data foundation and time anchor for subsequent identification of false peaks, high-fidelity verification and dynamic prediction, significantly improving the accuracy and reliability of identification.

[0074] For the candidate peak signal set, high-fidelity data acquisition in the first channel and phase disturbance data acquisition in the second channel are performed simultaneously, and by comparing the amplitude difference of the two channels at the same time point, the false peak signals with inconsistent amplitudes are removed, and the effective peak signal set for subsequent analysis is obtained.

[0075] Before further identifying the candidate peak signal set extracted in the previous step, in order to remove false peak signals caused by non-real interference sources, environmental electromagnetic disturbances, device contact oscillation or partial discharge, etc., ensure the authenticity and stability of the input data, a cross-validation method based on double-channel data acquisition is proposed. This method accurately compares the response amplitude consistency of the same peak signal in two physical acquisition channels, identifies the effective peak signal that really exists in the cable physical structure and has stable propagation path, and then removes the misjudgment signal from the candidate peak signal set, and constructs a reliable effective peak signal set. This process includes steps:

[0076] Two sets of independent data acquisition paths with consistent structure and similar performance but different acquisition mechanisms are configured at the key sampling positions of the cable branch box. The first set of acquisition paths is a high-fidelity channel. The high-precision analog voltage acquisition unit with a sampling frequency of 50 million times per second, a bandwidth of more than 20 MHz, and an input impedance of not less than 10 MΩ is installed inside the incoming terminal, the outgoing copper bar connection, the middle section of the busbar adapter, and the load output lead terminal. These acquisition points are connected to the acquisition device through shielded twisted pair lines to ensure complete signal transmission in a high-frequency interference environment. The second set of acquisition paths is a phase disturbance channel. On the basis of the same hardware structure as the first channel, a small amount of controlled jitter is introduced into the sampling clock. The sampling time point is randomly shifted within each cycle, and the shift amplitude is within the range of plus or minus 300 ns. The analog phase slight drift affects the signal acquisition results. This sampling disturbance does not affect the true characteristics of the signal, but it is sufficient to reveal the sensitivity of the signal to sampling phase shift. Both acquisition paths are connected to a unified trigger control unit to ensure that the data is started synchronously under the same injection pulse event.

[0077] The peak signal waveforms obtained by the two acquisition paths are standardized and time-aligned. To ensure the accuracy of the alignment, the starting point of each candidate peak signal in the high-fidelity channel is selected as the reference, the waveform segment in the corresponding time period in the phase disturbance channel is cut out, and the signal in this segment is reconstructed by equal-interval interpolation to ensure that it is consistent with the high-fidelity channel in terms of time resolution. In the time interval of each candidate peak signal, the voltage amplitude of each sampling point in the two channels is extracted to form a one-to-one data pair. Special attention is paid to the slope change of the voltage rising edge, the peak voltage point, and the decay speed of the post-peak decay segment in the waveform. In the real peak signal, since the signal is caused by the release of coupled electromagnetic energy inside the cable structure, it has a definite propagation path and physical consistency, so even if there is a sampling phase shift in the two channels, the amplitude, slope, and overall shape of the waveform will remain highly consistent. In the pseudo-peak signal, since the signal is often triggered by external noise or local contact oscillation, the waveform is greatly affected by the phase disturbance, and there will be phenomena such as amplitude mutation, obvious peak time deviation, and signal profile reconstruction failure in the two channels.

[0078] According to the amplitude difference between the two channels, a judgment standard is constructed, and all candidate peak signals are cross-checked one by one. In the judgment process, the voltage values of the corresponding sampling points in the two channels are compared, the amplitude difference ratio in the full wave band is calculated, and the amplitude consistency of the rising edge and the peak point is analyzed. When the candidate signal has a high waveform coincidence degree in the two channels, that is, the voltage difference is less than 5% of the maximum amplitude when more than 70% of the total sampling points, and the voltage difference is less than 3% of the maximum amplitude at the peak point, the signal is judged as a real and effective signal and is retained. Otherwise, if any of the above conditions is not met, or if there is a serious mismatch in the waveform, such as a peak value in one channel and only a slow curve in the other channel, the signal is judged as a false peak signal and is removed. In order to further improve the reliability of the check, for each candidate peak signal, at least three consecutive detection pulse periods are required for comparison and verification. Only when the comparison results in all periods meet the consistency requirements, the signal is formally included in the effective signal set.

[0079] All peak signals that pass the dual-channel amplitude consistency test are sorted out to form an effective peak signal set. Each peak signal in the set is accompanied by recording its occurrence time, sampling point number, waveform rising time, peak voltage, dual-channel coincidence ratio, maximum amplitude difference, and sampling period stability level, etc. Key parameters form a structured data table for subsequent peak behavior prediction, interference trend modeling, and response action control strategy formulation. Through this way, false interference is removed from the candidate peak signal set, improving the authenticity and robustness of the input data used in the entire control process.

[0080] The role of this step is to identify and remove false peak signals of unknown origin or unstable physical characteristics in the candidate peak signal set through dual-channel acquisition verification, ensuring that the data relied on for subsequent analysis is authentic and stable. During the operation of the cable branch box, due to the complex electromagnetic environment, transient waveforms caused by external interference, loose contact, electrical noise, etc. often occur. Although these signals may exhibit high amplitude mutation characteristics in a single channel, they do not have the electromagnetic propagation consistency that true peak signals should have. This step sets up two acquisition paths, one of which acquires the original high-fidelity waveform, and the other introduces a small disturbance on the sampling clock. The amplitude and waveform profile of the signals in the same time window are compared. If a signal shows a high degree of amplitude response and morphological characteristics in the two channels, it can be determined as a true peak; otherwise, if there is a significant amplitude difference or waveform mismatch, it is considered as a false peak and is removed. This step effectively improves the accuracy of signal recognition, avoids false signals triggering errors in subsequent steps, and provides a reliable data foundation for evolution prediction, energy regulation, etc.

[0081] Based on the historical distribution characteristics of the effective spike signal set, a cross-cycle spike signal evolution model is established to predict the spike risk signal that appears in the next microcycle, and according to the prediction result, a lock signal inhibition time window is set and an energy release channel is configured to release the risk energy in advance;

[0082] After the screening and checking of the effective spike signal are completed, the obtained signal set has clear time characteristics, electrical amplitude characteristics and structural propagation path consistency. In order to realize the trend prediction of the spike interference behavior in the future operation cycle and avoid the misoperation risk caused by the concentrated explosion of spike energy, based on the distribution law of the effective spike signal in the historical cycle, a cross-cycle evolution characteristic is established, and a lock signal inhibition window is set, and a channel for energy guidance and release is configured in the physical circuit to realize the early perception and active response to high-risk spike interference. The process includes the following steps:

[0083] The effective spike signal distribution data in multiple continuous working cycles is extracted to construct a time sequence feature set. The spike signal record content in each cycle includes the absolute time point of the spike occurrence (with the system start time as the reference), the duration, the peak amplitude, the waveform rising rate, the falling time, the occurrence position and the propagation path identification. In the continuous thirty and more cycles, the above data is summarized and arranged on the time axis to form a spike signal time intensive atlas. After normalizing each signal, the time position is mapped to the relative time scale relative to the cycle start point, so as to analyze the occurrence trend of the spike event in each cycle. Then, the high-frequency aggregation area of the spike event in the cycle is counted, such as the signal segment with a continuous spike time difference less than one microsecond frequently concentrated in a specific time period of the cycle (for example, 9~12 microsecond interval), which can preliminarily judge that the time period is a high-risk area of spike evolution. At the same time, by observing whether the propagation paths of adjacent spikes in multiple cycles are consistent, such as whether they all start from the incoming line end and are concentrated in the busbar node, the spike formation mechanism with structural repeatability can be further determined to provide a basis for subsequent modeling.

[0084] On the basis of the above-mentioned spike timing characteristics, the evolution trend elements are extracted, and the evolution behavior model of multi-cycle spike event is constructed. In order to establish the model, the time position change amount, amplitude fluctuation amplitude and rising rate change gradient of the spike signal in different cycles need to be quantified. For example, if the spike signal of a certain sampling point continuously appears ahead in the 15th to 30th cycle, the time offset decreases by 0.3 microseconds per cycle, and the amplitude continuously rises, with an average increase of 6 volts per cycle, then this phenomenon indicates that the spike signal is accelerating evolution, with strong energy superposition trend. By comparing the spikes horizontally, it is identified whether there are multiple sampling points showing similar change characteristics at the same time. If so, it indicates that the cable branch box has entered the spike coupling evolution period, and a large spike impact may be formed in the future cycle. In the modeling process, the signal time scale, amplitude trend, slope change and path repeatability are combined to form the evolution trend identification standard, forming a feature group for the next cycle prediction.

[0085] According to the above-mentioned evolution trend feature group, the time interval in which the spike impact is most likely to occur in the next running microcycle is predicted, and a phase-locked signal suppression time window is set. The setting of the time window is based on the high-frequency aggregation time period of the aforementioned spike event in the historical cycle, and the time offset of the evolution trend forward. For example, if the high-risk spike appears at about 10 microseconds in the last three cycles, and advances by 0.2 microseconds per cycle, then the spike in the next cycle can be predicted to appear between 9.4 and 9.8 microseconds, so the phase-locked window is set to 9.2 to 10.0 microseconds. In order to avoid the window being too wide and causing false interception, the window width should not exceed 2 microseconds, and a safety buffer band is reserved at the edge to prevent signal boundary penetration. During the activation of the phase-locked window, the high-sensitivity fault judgment process is suspended to avoid false triggering of the trip action by the spike signal. At the same time, the protection mode is started in the window, and the instantaneous waveform buffering and post-processing state is entered. By accurately setting the phase-locked window, active avoidance in time can be achieved, and the anti-interference ability is improved.

[0086] At the same time of starting the phase-locked suppression window, configure the energy discharge channel to realize the guided dissipation of the high-amplitude energy of the possible peak, preventing its concentrated effect on the key nodes or relay protection devices. The energy discharge channel is constructed in the following way: add a parallel bypass resistance network in the cable branch box, which is connected between the neutral point and the ground, and the resistance value is set to 5-10 ohms, which can form a low-resistance absorption path when the peak signal arrives; at the same time, install a pressure-sensitive resistor device at the busbar connection end, and set the starting action voltage to a threshold value higher than the maximum value of normal operation by 10%, and as soon as the peak amplitude exceeds this value, the device will act to guide the peak energy to the grounding end; in addition, set a surge absorption inductor at the cable terminal to suppress the rising rate of the peak and delay the voltage rise. The above channel is in a conducting state when the phase-locked window is opened, which can effectively diffuse the peak energy into a low-energy path and reduce its impact on the main line. After the phase-locked window is closed, the channel exits the conducting state and returns to the normal operating state.

[0087] The role of this step is to extract the distribution characteristics of the effective peak signal set obtained in the previous stage in the dimensions of time, amplitude, path and frequency through cross-cycle historical analysis, so as to identify the evolution trend of the peak signal in the operation process of the cable branch box, and then predict the time period in which the peak impact may occur in the next microcycle. This prediction not only improves the forward-looking perception ability of electromagnetic interference events, but also provides an accurate time anchor point for active prevention and control. On this basis, the phase-locked signal suppression time window is set, so that the protection strategy enters a buffer state in the high-risk time period to avoid misjudging the peak as an actual fault and triggering tripping. At the same time, by configuring the energy discharge channel composed of resistance, pressure-sensitive device and surge absorption element, a controllable energy transfer path is provided before the peak occurs to effectively guide the peak energy into non-critical branches and dissipate it in advance. This step realizes the transition from "passive identification" to "active prediction and buffer release", greatly improving the system's response ability to high-frequency peak interference and operational stability.

[0088] In the phase-locked signal suppression time window, an adaptive delay micro-cache mechanism is enabled to extend the peak signal in the time domain to reduce the instantaneous slope of the peak signal and interrupt the cumulative trigger path of misoperation;

[0089] To prevent the peak signal from causing misoperation in the control logic, especially triggering the protection function during the peak energy burst period, causing equipment tripping, tripping or isolation failure, an adaptive delay micro-cache mechanism is proposed to extend the characteristic peak signal in the time domain within the successfully set phase-locked signal suppression time window. By smoothing and delaying the instantaneous steep change process of the signal, the probability of triggering the protection condition is reduced, thereby cutting off the misoperation chain formed by the continuous superposition of peak signals. The implementation process of the mechanism is specifically divided into the following steps:

[0090] After the phase-locked signal inhibition time window is triggered and activated, the peak signal collection buffer operation in the time segment is started immediately. When the control circuit receives the external high-frequency signal input, it automatically calls the buffer logic to temporarily stop the transmission of all voltage signal sampling points located in the phase-locked window to the main protection judgment process, and instead stores them in the ring buffer unit one by one. In actual implementation, the buffer unit is a high-speed storage circuit with a capacity of 1024 bytes, supporting nanosecond-level read-write response capability. The buffer continuously records basic data such as voltage values, time stamps, and rising edge change rates in the target waveform signal. The duration of the buffer operation is consistent with the phase-locked window, for example, if the phase-locked window is set to 6 microseconds, the buffer collection period is also set to 6 microseconds. The collected peak signals are saved in complete waveform structure, waiting for the subsequent extension processing stage.

[0091] The time delay expansion operation is performed on the buffered peak signal data. This operation is based on the rising edge change rate and amplitude change characteristics of the recorded signal for ordered processing. For the signal segment with a voltage mutation greater than 80 volts within 1 microsecond, an interpolation delay mechanism is performed, that is, the original time interval between consecutive sampling points is artificially lengthened to 3 to 5 times in the storage forwarding stage, and the output control clock precision is adjusted to make the signal output process show obvious stretching characteristics. For example, if the original time interval between two sampling points is 10 nanoseconds, it is adjusted to 30 to 50 nanoseconds, so that the waveform slope is reduced to 1 / 3 to 1 / 5 of the original. Without changing the overall voltage energy of the waveform, the distribution form on the time axis is changed, so that the signal presents a gentle rising curve instead of a steep transition curve. For the signal descending segment, if the falling amplitude exceeds 60 volts within 1 microsecond, the time expansion processing is also applied, and the fast descending segment is reconstructed into a slow descending platform segment, so as to avoid forming a peak type wave trough and prevent the control mis-triggering caused by the bidirectional mutation characteristics. The time delay expansion operation is performed in real time, and the processing period does not exceed the sampling delay period, ensuring that it will not cause signal backlog or time sequence drift problems.

[0092] The signal after the extension treatment is re-injected into the protection judgment path to participate in the judgment logic, and the trigger response before and after the extension is compared to complete the verification of the disconnection of the misoperation trigger chain. After the extension signal flows back to the main control path, the protection logic unit will re-judge the signal validity according to the set action threshold and action duration conditions. Since the instantaneous slope of the signal has been effectively reduced, even if the signal peak amplitude does not change, its rise time will be extended and will not meet the high steepness continuous impact condition required by the traditional protection tripping action, thereby avoiding misidentifying the signal as an overvoltage, short circuit or ground abnormality to trigger a protection command. At the same time, the time expansion process of the signal effectively blocks the chain response effect of multiple sampling points continuously identifying similar features in a short time, and breaks the misjudgment trigger path formed by the repeated superposition of spikes from the root. The processing mechanism can also perform memory feedback for multiple cycles, that is, when a certain type of spike signal is processed by the extension and does not trigger any substantial abnormality, the signal feature can be marked as low risk, and the extension cache channel will be automatically enabled when it appears again in the future.

[0093] The role of this step is to actively regulate the time behavior of the spike signal during the high-risk trigger period of the spike signal by introducing an adaptive delay cache mechanism to prevent it from triggering protection misoperation with high-speed change characteristics. Within the lock-in signal suppression time window, the collected spike signal will be temporarily cached in the cache unit and the signal will be time-domain extended by controlling the output rhythm, so that its originally steep rising edge and smooth transition will significantly reduce its instantaneous slope. This extension treatment will not change the overall energy and amplitude of the signal, but will delay its satisfaction speed for the controller trigger condition, so that it cannot continuously meet the misoperation trigger threshold in a very short time. In this way, the synchronous response chain of the spike signal between multiple sampling points is effectively broken, and the multi-point consistency misjudgment is avoided. In addition, this processing can also shield the response accumulation effect caused by the short-time repeated appearance of the spike signal, giving time for subsequent energy suppression and feedback control, and improving the mis-trigger protection capability of the cable branch box in a complex disturbance environment.

[0094] Based on the output signal of the adaptive delay cache mechanism, the phase foldback limiting amplitude processing flow is started, the residual spike signal is guided to the anti-signal convergence path, and the limiting amplitude processing parameters are dynamically adjusted in combination with the real-time residual signal to realize the continuous dissipation and safe transfer of the spike energy.

[0095] To further reduce the threat of high amplitude residual signals that may still exist after the delay cache mechanism processing to the operation safety of the cable branch box, a phase foldback limiting process is introduced after the delay processing. This process constructs a phase-reversed signal path to guide the residual energy in the peak signal to the preset energy collection path in the reverse form, and adjusts the limiting parameters in real time combined with the residual signals collected in the main channel, realizes dynamic suppression and multi-path energy unloading of signals, ensures that peak disturbance no longer accumulates or concentrates on sensitive load structures, and then completes the closed-loop safety control from logical false trigger suppression to physical energy dissipation. The specific implementation steps are as follows:

[0096] The output waveform after the adaptive delay cache mechanism processing is taken as the input signal to distinguish the amplitude abnormal segment still existing in the waveform. In specific implementation, the waveform segment with peak voltage greater than the preset steady-state safety value is extracted by using the real-time voltage amplitude comparison link, for example, when the system normal maximum voltage is 220 volts, the safety warning threshold is set to 260 volts, and all signal segments exceeding the value are marked as residual peak signals. On the basis of marking, the rising slope, duration and starting time point are further extracted as parameter references for subsequent signal foldback generation. Then, a set of reverse signals is generated in the physical circuit according to the same amplitude, consistent frequency and time synchronization principles as the original peak waveform. The reverse signal is the mirror image of the original signal in waveform form, and its voltage direction is negative. Instead of mixing with the main channel, the reverse signal is guided to the dedicated energy absorption end through the parallel branch path, which includes a ground lead, a graphite-based energy absorption element, a ceramic voltage-dependent resistor series attenuator and other structural units. This path has low impedance and good heat dissipation, can withstand the continuous impact of the reverse signal, absorbs the peak energy carried by the signal in segments, and realizes the transfer and diffusion of peak energy in physical structure.

[0097] At the same time when the inverted signal path is activated, the limiting voltage suppression link on the main signal channel begins to operate and dynamically adjusts the limiting strategy according to the residual signal in the current channel. The residual signal refers to the difference data in physical quantities such as amplitude, time length, and slope between the delay expansion and the original spike signal. This data is output in real time by the main sampling unit and is used as the input of the limiting control parameter. If the amplitude of the residual signal is still higher than the upper limit of the system safety range, for example, higher than 260 volts, the voltage-sensitive resistor in the limiting trigger device begins to act, cutting the voltage spike part to below 230 volts, preventing the signal from exceeding the action threshold again. At the same time, if the residual signal identifies an abnormal increase in the duration, for example, the waveform width is extended from the normal 2 microseconds to more than 8 microseconds, the limiting device operating time will also be extended synchronously to match the energy release rhythm, preventing the signal from re-entering the judgment process to cause misoperation before the limiting ends. The limiting control uses a dynamic parameter mapping mechanism, with a response time set within 100 nanoseconds, ensuring that the voltage mutation is suppressed at the first time it occurs, rather than after the waveform is formed, improving the response preposition.

[0098] The running state of the inverted signal guide path is monitored throughout the process to ensure the continuity, safety, and controllability of the guide dissipation process. In specific implementation, by setting three means of parallel thermosensitive sheets, current rate monitoring coils, and impedance drift probes, the temperature rise change, absorption current slope change, and path impedance offset in the inverted signal path are monitored respectively. If the thermosensitive sheet detects that the local temperature exceeds 85 degrees Celsius, it is judged that the energy-absorbing material tends to be saturated, at which time the control unit will reduce the inverted signal guide voltage amplitude in stages and increase the intervention proportion of the limiting action in the main channel, so that the main channel undertakes more energy attenuation tasks; if the current rate continuously appears reverse fluctuation, it means that the inverted signal is not completely absorbed and appears secondary reflection, then by changing the guide path structure, such as switching to a redundant bypass channel, the remaining energy enters the standby attenuation branch for further absorption. All these feedback adjustments are independent of the main control process and run at the physical end of the spike energy processing chain, ensuring that even in extreme interference environments, the spike signal energy can be completely transferred, avoiding secondary failures caused by accumulation effects.

[0099] The role of this step is to further accurately control and orderly release the residual energy of the peak signal after it is processed by the adaptive delay cache mechanism, to prevent the remaining high amplitude signal from continuing to accumulate or impacting sensitive power elements, causing misoperation or equipment damage. Although the delay processing has alleviated the steepness of the peak signal in the time domain, there may still be residual energy with an amplitude exceeding the safety threshold. Therefore, this step constructs a set of mirror signals opposite in phase to the main signal, directs the residual peak energy in the form of reverse to the independent energy collection path, realizes the physical transfer and absorption of energy. At the same time, the residual signal trend of the peak signal in the main channel is monitored in real time, and the amplitude, duration and slope of the candidate peak signal set are dynamically adjusted according to the characteristics, so that the amplitude limiting action is more accurate and timely, and it is ensured that misjudgment or insufficient suppression will not be caused by fixed parameter setting. Through this amplitude limiting and guiding cooperative mechanism, the continuous dissipation and safety transfer of the peak energy can be realized.

[0100] The present application starts from micro-time slot detection, establishes a time sequence baseline, and fuses phase consistency analysis, multi-channel comparison sampling and cross-cycle evolution model, which not only improves the recognition accuracy of microsecond-level interference signals, but also effectively reduces the mis-triggering probability of interference signals through phase locking suppression and delay caching mechanisms. At the same time, with the help of phase folding amplitude limiting and reverse energy guiding means, the physical slow release and safe transfer of peak energy are realized, which significantly improves the stable operation ability of the cable branch box in complex electromagnetic environment, avoids mis-trip, mis-isolation and other high-risk actions, and enhances the overall anti-interference ability and intelligent level of the power distribution system.

[0101] The present application provides a kind of cable branch box multi-modal cooperative control system as shown in Figure 2 The present application provides a kind of cable branch box multi-modal cooperative control system as shown in

[0102] The interference portrait construction module injects a low-amplitude synchronous detection pulse in the cable branch box operating environment, collects the feedback response signal of the detection pulse, inverses the arrival sequence of the interference signal according to the feedback response signal, constructs a micro-time slot interference portrait, and generates a time sequence baseline for interference identification reference;

[0103] The interference focusing identification module calculates the phase consistency index between multiple interference signals based on the time sequence baseline, locks the trigger time window of interference signal superposition collapse according to the phase consistency index, and extracts a candidate peak signal set in the trigger time window;

[0104] The spike checking and cleaning module is used for simultaneously performing first channel high-fidelity data acquisition and second channel phase disturbance data acquisition on the candidate spike signal set, and by comparing the amplitude difference of the two channels at the same time point, the amplitude inconsistent false spike signal is removed, and the effective spike signal set used for subsequent analysis is obtained;

[0105] The spike prediction and suppression planning module establishes a cross-cycle spike signal evolution model based on the historical distribution characteristics of the effective spike signal set, predicts the spike risk signal appearing in the next microcycle, sets a lock signal suppression time window according to the prediction result, and configures an energy discharge channel to release the risk energy in advance;

[0106] The delay expansion and peak clipping module enables an adaptive delay microcache mechanism within the lock signal suppression time window, performs delay expansion processing on the spike signal in the time domain, so as to reduce the instantaneous slope of the spike signal and interrupt the cumulative trigger path of the misoperation;

[0107] The residual energy absorption and amplitude limiting control module starts a phase folding amplitude limiting processing procedure based on the output signal of the adaptive delay microcache mechanism, guides the residual spike signal to an inverse signal bus path, and dynamically adjusts the amplitude limiting processing parameters in combination with the real-time residual signal, so as to realize continuous dissipation and safe transfer of the spike energy.

[0108] The embodiment of the application provides a kind of cable branch box multimodal collaborative control method, is realized by the above-mentioned kind of cable branch box multimodal collaborative control system, and the specific method and process of a kind of cable branch box multimodal collaborative control system are described in the embodiment of the above-mentioned kind of cable branch box multimodal collaborative control method, and will not be repeated here.

[0109] The above only describes some exemplary embodiments of the application by way of illustration, without doubt, for ordinary skilled in the art, the described embodiments can be modified in various ways without departing from the spirit and scope of the application. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of the claims of the application.

Claims

1. A multi-modal cooperative control method for cable branch boxes, characterized in that, Includes the following steps: Low-amplitude synchronous detection pulses are injected into the operating environment of the cable branch box, and the feedback response signal of the detection pulses is collected. The arrival sequence of the interference signal is inverted based on the feedback response signal to construct a micro-timeslot interference profile and generate a time-series baseline for interference identification. Based on the timing baseline, the phase consistency index among multiple interference signals is calculated. The trigger time window for the superposition and collapse of interference signals is locked according to the phase consistency index, and a set of candidate spike signals is extracted within the trigger time window. For the candidate spike signal set, high-fidelity data acquisition of the first channel and phase perturbation data acquisition of the second channel are carried out simultaneously. By comparing the amplitude difference of the two channels at the same time point, false spike signals with inconsistent amplitudes are eliminated, and the effective spike signal set for subsequent analysis is obtained. Based on the historical distribution characteristics of the effective spike signal set, a cross-cycle spike signal evolution model is established to predict the spike risk signal that will appear in the next micro-cycle. According to the prediction results, a phase-locked signal suppression time window is set, and an energy release channel is configured to release the risk energy in advance. Within the phase-locked signal suppression time window, an adaptive delay micro-buffer mechanism is enabled to extend the spike signal in the time domain, thereby reducing the instantaneous slope of the spike signal and interrupting the cumulative triggering path of malfunctions. Based on the output signal of the adaptive delay micro-buffer mechanism, the phase return limiting process is initiated to guide the residual peak signal to the inverted signal confluence path. The limiting processing parameters are dynamically adjusted in combination with the real-time residual signal to achieve continuous dissipation and safe transfer of peak energy.

2. The multi-modal collaborative control method for a cable branch box according to claim 1, characterized in that, The steps for generating a time series baseline are as follows: Under steady-state operation conditions of the cable branch box, a synchronous detection pulse with an amplitude of 10 volts to 30 volts, a pulse width of less than 5 microseconds, and a repetition period of 20 milliseconds is injected into the cable line. By setting up four voltage acquisition points at the incoming terminal, adapter, outgoing terminal and load lead-out terminal, the response time, amplitude and waveform trajectory of the detection pulse are collected respectively, and a signal propagation sequence spectrum is established with the response time of the incoming terminal as the zero point. By normalizing the response time of multiple acquisition points, normalizing the amplitude, and smoothing the waveform through interpolation, a standardized timing baseline is constructed with the incoming terminal as the starting node. The established time baseline is used as the time discrimination benchmark for interference identification. In subsequent steps, it is used to compare the degree of deviation of the actual operating signal in response time and propagation sequence to identify the trigger precursors of spike interference.

3. The multi-modal cooperative control method for a cable branch box according to claim 2, characterized in that, The steps for extracting the candidate spike signal set are as follows: Multiple cycles of detection pulse response data were collected at the incoming terminal, outgoing connector, intermediate connecting copper busbar and load lead-out terminal, and the phase offset sequence of each sampling point was constructed with the first response time of the incoming terminal as a reference. Periodic differential processing is performed on the phase shift sequence to identify whether multiple sampling points show a phase synchronization convergence trend within a given time period, and to detect the degree of aggregation of the response times of each point; When the response time offset of multiple sampling points is less than 300 nanoseconds, the amplitude change rate exceeds 50 volts per microsecond, and the energy density of the main waveform is significantly higher than five times the background noise in the same time interval, this time interval is marked as the trigger time window for the superposition and collapse of interference signals. Within the trigger time window, based on the voltage signal rise rate, amplitude change degree, duration and periodic repetition characteristics of each sampling point, peak signal segments that meet the conditions of high change and high consistency are selected to form a candidate peak signal set, and the corresponding time, amplitude and location parameters are marked.

4. The multi-modal collaborative control method for a cable branch box according to claim 3, characterized in that, The steps for generating the effective spike signal set are as follows: High-fidelity acquisition channels and phase disturbance acquisition channels are set at the incoming terminal, outgoing copper bus, intermediate transition copper bus and load lead terminal respectively. The two channels simultaneously acquire the voltage waveforms corresponding to the candidate spike signals. The candidate spike signals acquired from the two channels are time-domain aligned and amplitude normalized. The amplitude difference of each sampling point is calculated and the waveform consistency characteristics are analyzed. When the amplitude difference of more than 70% of the total number of sampling points in two channels is less than 5% of the maximum amplitude, and the amplitude difference at the peak point is less than 3% of the maximum amplitude, and the above conditions are met in three consecutive detection cycles, the candidate spike signal is identified as a valid spike signal and is retained. All candidate spike signals that meet the consistency requirements are combined into a valid spike signal set, and their occurrence time, sampling point number, peak voltage and stability level parameters are recorded.

5. The multi-modal cooperative control method for a cable branch box according to claim 4, characterized in that, The specific steps for setting a phase-locked signal suppression time window based on the prediction results and configuring an energy release channel to mitigate risk energy in advance are as follows: Extract the time position, amplitude, rise rate and propagation path of effective spike signals within multiple consecutive working cycles, construct a time density map of spike signals and analyze the high-frequency clustering area and path repetition characteristics within the cycle; Based on the time position offset, amplitude change trend and path stability, a peak signal evolution feature group is constructed to predict the time interval of the peak risk signal in the next micro-cycle; Set the phase-locked signal suppression time window according to the predicted time interval, pause the high-sensitivity fault identification process, and start the instantaneous waveform buffering mechanism; Within the phase-locked signal suppression time window, a parallel resistor network, a varistor, and a surge absorption inductor are connected to construct an energy dissipation channel, guiding the energy of the spike signal to dissipate along a low-resistance path and reducing its impact on the main line.

6. The multi-modal cooperative control method for a cable branch box according to claim 5, characterized in that, Within the phase-locked signal suppression time window, the adaptive delay micro-buffer mechanism is enabled to extend the peak signal in the time domain. The steps are as follows: After the phase-locked signal suppression time window is activated, the spike signal collected within the window is buffered. The buffer unit has a capacity of 1,024 bytes, supports nanosecond-level read and write response capability, and continuously records voltage values, timestamps and rising edge change rates. The buffer period is consistent with the phase-locked window. The buffered signal is subjected to a delay expansion operation, which extends the sampling interval to three to five times for signal segments with voltage changes exceeding 80 volts within one microsecond, reduces the slope of the rising segment to one-third to one-fifth of the original, and reconstructs the waveform of the falling segment with an amplitude drop of more than 60 volts within one microsecond into a gradual descent platform to ensure a smooth signal shape. The extended signal is re-injected into the protection discrimination path, and logical judgment is made based on the action threshold and action duration to verify that the extended signal no longer triggers malfunctions, thereby cutting off the trigger chain formed by the continuous superposition of spike signals.

7. The multi-modal cooperative control method for a cable branch box according to claim 6, characterized in that, The steps for initiating the phase foldback limiting process based on the output signal using the adaptive delay micro-buffering mechanism are as follows: Using the extended output signal as input, the residual spike signal in the waveform with an amplitude greater than the preset warning threshold is identified, and an inverse signal with the same amplitude, consistent frequency, time synchronization and opposite voltage direction is generated in the physical circuit. The signal is then guided to the energy absorption end for dissipation through the parallel branch path. While the inverted signal path is started, the limiting voltage suppression circuit of the main channel dynamically adjusts the action threshold and response time according to the amplitude, duration and slope characteristics of the residual signal to achieve voltage spike clipping and delay suppression. The temperature rise, current change rate, and impedance drift of the reverse signal guide path are monitored. When the temperature rise exceeds the set value or the current fluctuates in the opposite direction, the control unit switches to the backup attenuation path to ensure that the residual energy is completely absorbed and safely transferred.

8. A multimodal cooperative control system for a cable branch box, used to implement the multimodal cooperative control method for a cable branch box as described in any one of claims 1-7, characterized in that, It includes modules for interference profiling, interference focusing identification, peak verification and cleaning, peak prediction and suppression planning, delayed expansion and peak reduction, and residual energy absorption and limiting control. The interference profile construction module injects low-amplitude synchronous detection pulses into the operating environment of the cable branch box, collects the feedback response signal of the detection pulses, inverts the arrival sequence of the interference signal based on the feedback response signal, constructs a micro-timeslot interference profile, and generates a time-series baseline for interference identification. The interference focusing identification module calculates the phase consistency index between multiple interference signals based on the time-series baseline, locks the trigger time window of interference signal superposition and collapse according to the phase consistency index, and extracts a set of candidate spike signals within the trigger time window. The spike verification and cleaning module simultaneously acquires high-fidelity data from the first channel and phase perturbation data from the second channel for the candidate spike signal set. By comparing the amplitude differences of the two channels at the same time point, it removes false spike signals with inconsistent amplitudes and obtains a set of effective spike signals for subsequent analysis. The peak prediction and suppression planning module establishes a cross-cycle peak signal evolution model based on the historical distribution characteristics of the effective peak signal set, predicts the peak risk signal that will appear in the next micro-cycle, sets the phase-locked signal suppression time window according to the prediction results, and configures the energy release channel to release the risk energy in advance. The delayed expansion peak clipping module enables an adaptive delay micro-buffer mechanism within the phase-locked signal suppression time window to extend the peak signal in the time domain, thereby reducing the instantaneous slope of the peak signal and interrupting the cumulative triggering path of malfunctions. The residual energy absorption and limiting control module, based on the output signal of the adaptive delay micro-buffer mechanism, initiates the phase foldback limiting process, guides the residual peak signal to the inverted signal confluence path, and dynamically adjusts the limiting processing parameters in combination with the real-time residual signal to achieve continuous dissipation and safe transfer of peak energy.

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