Lightning stroke-based current change monitoring system and device thereof

Abstract

The invention is applicable to the field of lightning stroke monitoring, and provides a lightning stroke-based current change monitoring system and a lightning stroke-based current change monitoring device, parameters such as blade rotation acceleration and motion trail are acquired through a motion parameter acquisition module, current waveform data are combined, and a blade dynamic characteristic analysis module is used for analyzing the current waveform data by using a dynamic time warping model and a similarity matching algorithm. Judging a lightning stroke event or an equipment aging state; the lightning stroke event recording module monitors periodic changes of the magnetic field and generates event records associated with timestamps; and the event fusion judgment module drives blade color switching according to a fusion result, links fault isolation and stores composite event data. According to the scheme, through a multi-parameter fusion analysis and intelligent response mechanism, the lightning stroke event identification precision and the equipment abnormity early warning capability are improved, an efficient monitoring means is provided for lightning protection operation and maintenance of the power system, and the method has the characteristics of high real-time performance, low false alarm rate and high operation and maintenance auxiliary value.

Description

Technical Field

[0001] The present invention belongs to the field of lightning strike monitoring, and particularly relates to a current change monitoring system and device based on lightning strikes. Background Art

[0002] The abnormal current caused by lightning strikes poses a major threat to equipment safety. With the development of smart grids, higher requirements are put forward for the real-time monitoring of lightning strike events and the evaluation of equipment status. The current industry technology is developing in the direction of multi-parameter fusion and intelligent analysis. Existing technologies mostly adopt a single-parameter monitoring method, only collecting waveform data through current sensors to judge lightning strikes, and monitoring the rotation state of equipment through mechanical sensors.

[0003] Although some solutions involve multi-parameter acquisition, they lack the analysis of the timing correlation between the motion trajectory and the current waveform, and do not establish a differential identification mechanism for lightning strike events and equipment aging. Summary of the Invention

[0004] The purpose of the present invention is to provide a current change monitoring system based on lightning strikes, aiming to solve the technical problems existing in the prior art identified in the background art.

[0005] The present invention is implemented as follows. A current change monitoring system based on lightning strikes, the system includes: A motion parameter acquisition module, configured to obtain real-time motion parameters indicating the blades in the device through motion sensors, where the motion parameters include rotational acceleration, rotation duration, and motion trajectory; A blade dynamic feature analysis module, configured to analyze the blade dynamic features based on the motion parameters, and combine with current waveform data to judge the current event state, where the current event state includes lightning strike events and equipment aging; A lightning strike event recording module, configured to monitor the periodic change of the magnetic field at the blade edge, count the complete rotation times corresponding to the lightning strike events, and generate lightning strike event records associated with time stamps; An event fusion determination module, configured to drive the blade to switch the color state according to the fusion determination result of the current event state and the lightning strike event record, and store composite event data including motion features, current waveforms, and magnetic field pulses.

[0006] As a further solution of the present invention, the motion parameter acquisition module includes: A data acquisition unit, configured to acquire three-dimensional rotational acceleration data of the blade, and synchronously obtain the magnetic flux change signal between the magnetic material at the blade edge and the induction coil, and extract the pulse sequence; A time domain alignment unit, configured to perform time domain alignment on the acceleration data and the magnetic pulse signal, and establish a mapping relationship between the motion trajectory and the magnetic field change; The interference filtering unit is used to filter out mechanical vibration interference signals and retain effective motion characteristic data.

[0007] As a further aspect of the present invention, the blade dynamic characteristic analysis module includes: The rotational acceleration analysis unit is used to calculate the first derivative of the rotational acceleration based on the rotational acceleration data and generate an acceleration change rate curve; The similarity matching unit is used to extract the wavehead time, wave tail time and amplitude characteristics in the current waveform for the acceleration change rate curve and perform similarity matching with the standard lightning strike waveform; The timing correlation analysis unit is used to establish a dynamic time warping model and analyze the timing correlation between the blade motion trajectory and the current waveform; The lightning strike event marking trigger unit is used to set a mutation threshold and a matching degree threshold based on the analysis result of the dynamic time warping model. When there is a spatio-temporal correlation between the blade motion trajectory and the current waveform, when the acceleration change rate exceeds the mutation threshold and the waveform similarity is greater than the matching degree threshold, trigger the lightning strike event marking; The equipment aging marking trigger unit is used to set an acceleration threshold based on the analysis result of the dynamic time warping model. For the motion with a rotational acceleration lower than the acceleration threshold, superimpose the analysis of the current harmonic distortion rate and trigger the equipment aging marking.

[0008] As a further aspect of the present invention, the similarity matching with the standard lightning strike waveform specifically is: ; Wherein, represents the output data of the current waveform collected in real time, represents the standard lightning strike waveform template data, is the time point sequence, and each time point corresponds to a current amplitude, represents the dynamic time warping distance.

[0009] As a further aspect of the present invention, the analysis of the timing correlation between the blade motion trajectory and the current waveform specifically is: Construct a cumulative distance matrix to calculate the optimal alignment path: ; Wherein, are respectively the th point of the current waveform sequence and the th point of the motion trajectory sequence th point, represents the th point of the current waveform sequence and the motion trajectory sequence The local distance between the th points, is the cumulative distance matrix, representing the current waveform sequence of the first points and the optimal alignment distance of the first points of the motion trajectory sequence ; that is, it represents the optimal distance between the first points of the current waveform and the first points of the motion trajectory, representing the optimal distance between the first points of the current waveform and the first points of the motion trajectory, representing the optimal distance between the first points of the current waveform and the first points of the motion trajectory, representing the optimal distance between the first ; then it represents selecting the alignment path with the minimum cumulative distance to ensure is the optimal solution for the current point; Starting from the data in the lower right corner of the cumulative distance matrix and recursively backtracking to the upper left corner , each step selects the direction corresponding to the minimum cumulative distance to form the optimal path ; Perform linear regression on the path points to calculate the coefficient of determination and the standard deviation : ; ; Among them, represents the total number of points on the optimal path, is the predicted value, is the mean of the motion sequence, represents the slope of adjacent points on the optimal path, represents the average slope.

[0010] Set the coefficient of determination threshold and the standard deviation threshold. If the coefficient of determination is higher than the coefficient of determination threshold and the standard deviation is lower than the standard deviation threshold, it is marked as having spatio-temporal correlation.

[0011] As a further solution of the present invention, the superimposed current harmonic distortion rate analysis is specifically as follows: Respectively set the acceleration threshold and the distortion rate threshold; When the rotational acceleration of the blade is lower than the set acceleration threshold and the current harmonic distortion rate is higher than the distortion rate threshold, it is determined that the equipment is aging and an equipment aging label is added.

[0012] As a further solution of the present invention, the lightning event recording module includes: The blade status monitoring unit is used to monitor the periodic changes of the magnetic field at the blade edge and calculate the blade rotation angle based on the number of magnetic field cycles; An anomaly detection unit is used to detect anomalies in the time intervals between adjacent pulses, eliminate discontinuous pulses caused by human manipulation, and define the remaining pulses as valid pulses; A valid pulse counting unit, used for binding the valid pulse count with the corresponding timestamp and current peak value and storing them in a ring buffer; The lightning event statistics unit is used to generate a lightning event statistics report based on the stored data in the ring buffer, including a frequency distribution diagram, maximum current value and seasonal correlation analysis.

[0013] As a further solution of the present invention, the event fusion determination module includes: The command transmission unit is used to trigger the red state lock in the event of a lightning strike and transmit the color switching command to the blade until the manual reset command is released; For equipment aging, the yellow progressive rotation is triggered, the color switching instruction is transmitted to the blade, and the current change is continuously detected until the manual reset instruction is released; Fault isolation locking unit, used to send a locking instruction to the adjacent circuit breaker when the blade receives any color switching instruction, forming a fault isolation area; The evaluation report generating unit is used to generate a lightning strike tolerance evaluation report after receiving a manual reset instruction.

[0014] As a further solution of the present invention, the device for performing the functions of the lightning-based current change monitoring system includes: A housing, wherein a display window is provided on the housing, and a signal receiving unit for receiving a color switching instruction is provided inside the housing; The three-color blade is arranged inside the shell and is connected to the signal receiving unit.

[0015] The beneficial effects of the present invention are: This invention uses a dynamic time warping model and similarity matching algorithm to accurately identify lightning strikes and equipment aging, significantly reducing the false alarm rate. Through magnetic field cycle monitoring and intelligent statistics, it generates full-cycle records including timestamps and current peak values, as well as seasonal correlation analysis, providing data support for lightning protection strategies. At the same time, it drives the visual switching of blade color status, and links the circuit breaker to achieve fault isolation. At the same time, it generates a lightning tolerance assessment report, forming a closed-loop management of "monitoring-analysis-response-assessment", realizing the deep integration and intelligent analysis of multi-source data, improving the accuracy of lightning event identification and equipment abnormality prediction capabilities, shortening fault response time, and providing efficient technical means for lightning protection operation and maintenance of power systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A structural block diagram of a current change monitoring system based on lightning strikes provided by an embodiment of the present invention; Figure 2 A structural block diagram of a motion parameter acquisition module provided in an embodiment of the present invention; Figure 3 A structural block diagram of a blade dynamic characteristics analysis module provided in an embodiment of the present invention; Figure 4 A structural block diagram of a lightning event recording module provided in an embodiment of the present invention; Figure 5 A structural block diagram of an event fusion determination module provided in an embodiment of the present invention; Figure 6 This is a structural diagram of a current change monitoring device based on lightning strikes provided by an embodiment of the present invention.

[0017] Figures: 1. Outer shell; 2. Display window; 3. Three-color blades. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] Figure 1 A structural block diagram of a current change monitoring system based on lightning strikes provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the system includes: A motion parameter acquisition module 100 is used to obtain real-time motion parameters of the blade in the indicator device through a motion sensor, wherein the motion parameters include rotation acceleration, rotation duration and motion trajectory; The module uses a fusion solution of a three-axis accelerometer and a magnetoresistive sensor to capture the rotational acceleration vector of the blade in three-dimensional space in real time. At the same time, through the coupling of the induction coil and the magnetic material on the edge of the blade, it synchronously collects the pulse sequence generated by the change in magnetic flux.

[0020] This design can convert the magnetic pulse signals corresponding to every 10-degree rotation of the blade into digital quantities. During the lightning strike test, when the blade undergoes an acceleration mutation of 200° / s² due to the impact of lightning current, the magnetic sensor synchronously outputs 5 pulse signals to accurately record the incremental rotation angle.

[0021] Using the interpolation synchronization algorithm, timestamp calibration is performed on the acceleration data (sampling rate 10kHz) and the magnetic pulse signals (trigger frequency variable). By constructing a time mapping table, the clock deviation of the sensor is eliminated. For example, in the simulated strong wind interference scenario, the unit controls the timing error between the two types of signals within 5ms to ensure the spatio-temporal correspondence between the motion trajectory and the magnetic field change.

[0022] Integrating wavelet transform and adaptive threshold algorithm, for the common mechanical vibrations in substations (such as the 100Hz low-frequency vibration during transformer operation) and electromagnetic interferences (such as the high-frequency noise generated by switch operations), a 5th-order Butterworth band-pass filter (passband 20 - 500Hz) is used for frequency band screening. In the actual measurement at Substation A, the unit increases the signal-to-noise ratio of the effective signal by 15dB and successfully retains the transient acceleration characteristics caused by lightning strikes (such as the frequency components of 100 - 300Hz).

[0023] Through the dual perception of acceleration and magnetic signals, this module forms a cross-verification mechanism of "motion state - magnetic field change". For example, when the acceleration is abnormal due to accidental touch of the blade by humans, the non-periodicity of the magnetic pulse sequence can be recognized by the anomaly detection unit to avoid false triggering of lightning strike alarms.

[0024] The time-domain alignment technology solves the synchronization problem of asynchronous sampling of multiple sensors, making the timing correlation analysis error between the current waveform and the blade motion less than 1 sampling period, providing a reliable data basis for the subsequent dynamic time warping model.

[0025] The interference filtering algorithm is optimized for the specific interference scenarios of power equipment. It can not only suppress the mechanical vibration noise during daily operation but also retain the high-frequency acceleration mutation during lightning strikes. In the actual measurement during the thunderstorm season, the false alarm rate of the system for lightning strike events is reduced to 0.3%, far lower than the 5% false alarm rate of the traditional single acceleration monitoring scheme.

[0026] This design of multi-dimensional perception and intelligent processing not only improves the reliability of lightning strike monitoring but also provides high-precision basic data for equipment aging analysis. For example, by long-term monitoring of the attenuation trend of the blade rotation acceleration (such as a decrease of 0.5° / s² per year), potential faults such as bearing wear can be predicted in advance.

[0027] The blade dynamic feature analysis module 200 is used to analyze the blade dynamic features based on the motion parameters, and combine the current waveform data to judge the current event status, where the current event status includes lightning strike events and equipment aging; This module constructs an intelligent recognition system for lightning strike events and equipment aging by integrating kinematic features and electrical signal features. The module uses the five-point difference method to calculate the first derivative, generating an acceleration change rate curve with millisecond-level resolution at a sampling rate of 10 kHz. For example, in a simulated 20 kA lightning current impact test, during the process where the blade acceleration suddenly rises from 0 to 300° / s², this unit captures a mutation peak of 1500° / s³, providing a dynamic basis for lightning strike feature extraction.

[0028] The wavefront time (such as 1.2 μs), wave tail time (50 μs), and amplitude characteristics (10 kA) of the current waveform are matched with the standard lightning strike waveform template (IEC61000-2-13) using DTW. In the actual measurement during thunderstorm weather, the similarity between the real-time current waveform and the template reaches 0.89. After exceeding the threshold of 0.8, a lightning strike warning is triggered.

[0029] A 100×100 cumulative distance matrix is constructed to process the asynchronous data of the current waveform and the motion trajectory. The optimal alignment path is obtained through recursive backtracking. In the case of a wind farm, this unit improves the determination coefficient of the current waveform with a 10 ms delay in blade rotation and the motion trajectory to 0.92, and controls the standard deviation within 0.05, confirming it as a spatio-temporal correlation event.

[0030] This module determines through dual thresholds of the acceleration change rate and waveform similarity (such as setting the mutation threshold to 1000° / s³ and the matching degree threshold to 0.7). In the urban distribution network scenario, the false alarm rate of lightning strike events is reduced from 12% in the traditional scheme to 1.5%. The application example of Substation A shows that the system accurately identified 32 lightning strike events without a single false alarm.

[0031] The dynamic time warping model solves the problem of time sequence offset between the current and motion signals. In the scenario of signal delay caused by the propagation of lightning waves (such as a 5 - 20 ms delay), it can still maintain a correlation recognition rate above 0.85. The device aging marking trigger unit, through the joint analysis of the acceleration threshold (such as 50° / s²) and the total harmonic distortion rate (THD > 8%), discovers in advance the increase in rotational resistance caused by insulator aging during the monitoring of transmission lines, detecting potential faults earlier than traditional regular inspections.

[0032] This design that couples the analysis of mechanical motion characteristics and electrical parameters not only realizes real-time warning of lightning strike events but also provides a dynamic monitoring method for the health status assessment of power equipment, improving the timeliness of equipment anomaly recognition by more than 3 times.

[0033] The lightning strike event recording module 300 is used to monitor the periodic change of the magnetic field at the blade edge, count the complete number of rotations corresponding to the lightning strike event, and generate a lightning strike event record associated with the time stamp; This module builds a full-cycle traceability system for lightning strikes through magnetic field signature capture and intelligent data management. Using a high-precision Hall effect sensor array, the module monitors the periodic changes in the magnetic field generated by the permanent magnets at the blade edges in real time, equating each magnetic field cycle to a 30° blade rotation. During a 30kA lightning current impulse test, the sensor array captured 12 complete magnetic field cycles, accurately calculating the blade's 360° rotation trajectory.

[0034] Using the dual-threshold time interval analysis method, a normal interval threshold of 200ms and an abnormal interval threshold of 500ms are set for adjacent pulses. In the scenario of manual inspection and blade movement, the system automatically eliminates non-continuous pulses with an interval of 800ms to ensure the authenticity of valid pulses.

[0035] A 4KB ring buffer structure is used to store the count of each valid pulse (such as the 5th rotation), the UTC timestamp (accurate to the millisecond level), and the corresponding current peak (such as 15kA) in a triple format, ensuring zero data loss even during periods of high thunderstorm frequency (such as 20 lightning strikes per hour).

[0036] A visual report is generated based on three months of historical data. For example, the statistical results for substation A show that lightning strikes account for 65% of events in the summer, with a maximum current value of 45kA and an 82% correlation coefficient with typhoon paths.

[0037] This module achieves a quantitative correlation between lightning strike energy and mechanical motion through quantitative mapping of magnetic field period and rotation angle. In the wind farm case, the system accurately restored the impact intensity of 20kA lightning current through 10 complete rotations.

[0038] The dual-threshold anomaly detection algorithm reduced the false recording rate caused by human interference from 18% to 0.7%. When the operation and maintenance personnel of substation A accidentally touched the blade, the system successfully filtered out 12 invalid pulses.

[0039] The dynamic storage mechanism of the ring buffer ensures data integrity in high-concurrency lightning strike scenarios. Even in continuous thunderstorms (such as 40 lightning strikes within 30 minutes), data storage efficiency remains 100%.

[0040] The seasonal correlation analysis function provides data support for optimizing lightning protection strategies. For example, substation A upgraded its lightning arrester before the rainy season based on statistical reports, reducing the incidence of lightning strike failures by 40%.

[0041] This recording method, which deeply integrates mechanical motion characteristics with electrical parameters, not only achieves accurate tracing of lightning strikes, but also provides a quantitative basis for evaluating the lightning tolerance of power equipment, making the scientific nature of operation and maintenance decisions more than three times higher.

[0042] The event fusion determination module 400 is used to drive the blade to switch its color state according to the current event status and the fusion determination result of the lightning strike event record, and store the composite event data including motion characteristics, current waveform, and magnetic field pulse.

[0043] Through the state visualization linkage and fault isolation strategy, an intelligent response system for lightning strike events and equipment anomalies is constructed. The instruction transmission unit of this module adopts a duplex communication protocol. When a lightning strike event marker is received, it sends a PWM pulse width modulation signal to the three-color blade, triggering the constant-on locked state of the red LED array. For example, after Substation A was struck by a lightning current of 15 kA, the blade completed the red color switch within 200 ms and remained in that state until manually reset by the maintenance personnel; for the scenario of equipment aging, the unit generates a PWM signal with a gradually changing frequency, driving the blade to rotate progressively in yellow at an angular velocity of 0.5° / s. During the monitoring of the transmission line, after the blade rotated in yellow for 3 consecutive days, the current harmonic distortion rate increased from 9% to 12%, early warning the aging trend of the insulator. The fault isolation and locking unit adopts a CAN bus communication mechanism. When the blade color switch instruction takes effect, it sends a locking instruction containing a fault location code (such as 0x101) to the adjacent 3 circuit breakers. In the lightning strike accident of the distribution network, the system completes the isolation of the fault area within 50 ms, shortening the response time by 200 ms compared with the traditional overcurrent protection. The evaluation report generation unit integrates the composite event data within three months and generates a PDF report containing a scatter plot of the lightning strike times - current amplitude, an equipment aging trend curve, and an analysis of the fault isolation efficiency. Based on the conclusions in the report, the wind farm renovates the lightning protection and grounding system in advance.

[0044] This module provides a linkage design for color state switching and fault isolation, realizing the dual protection of "visual warning - physical isolation". In the power grid application, the misprocessing rate of lightning strike events has dropped from 15% in the traditional scheme to 0.9%.

[0045] The combination of progressive color rotation and continuous current monitoring enables the development trend of equipment aging to be quantitatively tracked. For example, through the change of the yellow rotation period (from the initial 10 minutes / time to the later 2 minutes / time) in Substation A, the time node of the aging of the bushing seal is accurately located.

[0046] This design that deeply integrates state visualization, fault isolation, and data analysis not only improves the fault response speed of the power system (average response time < 300 ms), but also provides a closed-loop management tool for intelligent operation and maintenance, increasing the planning of equipment maintenance by more than 4 times.

[0047] As Figure 2 shown, the motion parameter acquisition module 100 includes: The data acquisition unit 110 is used to acquire the three-dimensional rotational acceleration data of the blade, synchronously obtain the magnetic flux change signal between the magnetic material at the blade edge and the induction coil, and extract the pulse sequence; The time-domain alignment unit 120 is used to perform time-domain alignment on the acceleration data and the magnetic pulse signal, and establish the mapping relationship between the motion trajectory and the magnetic field change; The interference filtering unit 130 is used to filter out the mechanical vibration interference signal and retain the effective motion characteristic data.

[0048] As Figure 3 shown, the blade dynamic characteristic analysis module 200 includes: The rotational acceleration analysis unit 210 is used to calculate the first derivative of the rotational acceleration based on the rotational acceleration data and generate the acceleration change rate curve; The similarity matching unit 220 is used to extract the wave head time, wave tail time and amplitude characteristics in the current waveform for the acceleration change rate curve, and perform similarity matching with the standard lightning strike waveform; The time sequence correlation analysis unit 230 is used to establish a dynamic time warping model and analyze the time sequence correlation between the blade motion trajectory and the current waveform; The lightning strike event marking trigger unit 240 is used to set the mutation threshold and the matching degree threshold based on the analysis result of the dynamic time warping model. When there is a spatio-temporal correlation between the blade motion trajectory and the current waveform, when the acceleration change rate exceeds the mutation threshold and the waveform similarity is greater than the matching degree threshold, trigger the lightning strike event marking; The equipment aging marking trigger unit 250 is used to set the acceleration threshold based on the analysis result of the dynamic time warping model. When there is no spatio-temporal correlation between the blade motion trajectory and the current waveform, for the motion with the rotational acceleration lower than the acceleration threshold, superimpose the analysis of the current harmonic distortion rate and trigger the equipment aging marking.

[0049] In this step, the specific similarity matching with the standard lightning strike waveform is: ; Among them, represents the output data of the current waveform collected in real time, represents the standard lightning strike waveform template data, is the time point sequence, and each time point corresponds to a current amplitude, represents the dynamic time warping distance.

[0050] The specific analysis of the time sequence correlation between the blade motion trajectory and the current waveform is: Construct the cumulative distance matrix to calculate the optimal alignment path: ; Among them, They are the $n$-th points of the current waveform sequence and the $m$-th points of the motion trajectory sequence respectively, where represents the local distance between the $n$-th points of the current waveform sequence and the $m$-th points of the motion trajectory sequence . is the cumulative distance matrix, representing the optimal alignment distance between the first $n$ points of the current waveform sequence and the first $m$ points of the motion trajectory sequence , indicating the optimal distance between the first $n$ points of the current waveform and the first $m$ points of the motion trajectory . selects the alignment path with the minimum cumulative distance to ensure is the optimal solution for the current point; starting from the data in the lower right corner of the cumulative distance matrix, recursively backtracking to the upper left corner , and selecting the direction corresponding to the minimum cumulative distance at each step to form the optimal path ; performs linear regression on the path points to calculate the coefficient of determination and the standard deviation : ; ; where represents the total number of points on the optimal path, is the predicted value, is the mean of the motion sequence, represents the slope of adjacent points on the optimal path, represents the average slope.

[0051] Set the coefficient of determination threshold and the standard deviation threshold. If the coefficient of determination is higher than the coefficient of determination threshold and the standard deviation is lower than the standard deviation threshold, it is marked as having spatio-temporal correlation.

[0052] The analysis of the superimposed current harmonic distortion rate is specifically as follows: Set the acceleration threshold and distortion rate threshold respectively; When the blade rotation acceleration is lower than the set acceleration threshold and the current harmonic distortion rate is higher than the distortion rate threshold, it is determined that the device is aging and a device aging label is added.

[0053] like Figure 4 As shown, the lightning event recording module 300 includes: The blade state monitoring unit 310 is used to monitor the periodic changes of the magnetic field at the blade edge and calculate the blade rotation angle according to the number of magnetic field cycles; An anomaly detection unit 320 is used to detect anomalies in the time intervals between adjacent pulses, eliminate discontinuous pulses caused by human manipulation, and define the remaining pulses as valid pulses; The effective pulse counting unit 330 is used to bind the effective pulse count with the corresponding timestamp and current peak value and store them in a ring buffer; The lightning event statistics unit 340 is used to generate a lightning event statistics report based on the data stored in the ring buffer, including a frequency distribution diagram, a maximum current value, and a seasonal correlation analysis.

[0054] like Figure 5 As shown, the event fusion determination module 400 includes: The instruction transmission unit 410 is used to trigger the red state lock in the event of a lightning strike and transmit the color switching instruction to the blade until the manual reset instruction is released; For device aging 420, the yellow progressive rotation is triggered, the color switching command is transmitted to the blade, and the current change is continuously detected until the manual reset command is released; The fault isolation and locking unit 430 is used to send a locking instruction to the adjacent circuit breaker when the blade receives any color switching instruction, thereby forming a fault isolation area; The evaluation report generating unit 440 is configured to generate a lightning strike tolerance evaluation report after receiving a manual reset instruction.

[0055] like Figure 6 As shown, the device for performing the functions of the lightning-based current change monitoring system includes: A housing 1 having a display window 2 and a signal receiving unit for receiving a color switching instruction; The three-color blade 3 is disposed inside the housing 1 and is connected to the signal receiving unit.

[0056] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0057] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

[0058] The foregoing is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A lightning strike-based current change monitoring system, characterized in that, The system includes: A motion parameter acquisition module, configured to obtain real-time motion parameters of the blades in the indicating device through motion sensors, where the motion parameters include rotational acceleration, rotational duration, and motion trajectory; A blade dynamic feature analysis module, configured to analyze the blade dynamic features based on the motion parameters, and combine with current waveform data to determine the current event state, where the current event state includes lightning strike events and equipment aging; A lightning strike event recording module, configured to monitor the periodic change of the magnetic field at the blade edge, count the complete rotation times corresponding to the lightning strike events, and generate lightning strike event records associated with time stamps; An event fusion determination module, configured to drive the blade to switch the color state according to the fusion determination result of the current event state and the lightning strike event record, and store composite event data including motion features, current waveforms, and magnetic field pulses.

2. The system according to claim 1, wherein The motion parameter acquisition module includes: A data acquisition unit, configured to acquire three-dimensional rotational acceleration data of the blade, and synchronously obtain the magnetic flux change signal between the magnetic material at the blade edge and the induction coil, and extract the pulse sequence; A time domain alignment unit, configured to perform time domain alignment on the acceleration data and the magnetic pulse signal, and establish a mapping relationship between the motion trajectory and the magnetic field change; An interference filtering unit, configured to filter out mechanical vibration interference signals and retain effective motion feature data.

3. The system according to claim 1, wherein The blade dynamic feature analysis module includes: A rotational acceleration analysis unit, configured to calculate the first derivative of the rotational acceleration based on the rotational acceleration data, and generate an acceleration change rate curve; A similarity matching unit, configured to extract the wave head time, wave tail time, and amplitude features in the current waveform for the acceleration change rate curve, and perform similarity matching with the standard lightning strike waveform; A time series correlation analysis unit, configured to establish a dynamic time warping model and analyze the time series correlation between the blade motion trajectory and the current waveform; A lightning strike event marking trigger unit, configured to set a mutation threshold and a matching degree threshold based on the analysis result of the dynamic time warping model. When there is a spatio-temporal correlation between the blade motion trajectory and the current waveform, trigger the lightning strike event marking when the acceleration change rate exceeds the mutation threshold and the waveform similarity is greater than the matching degree threshold; An equipment aging marking trigger unit, configured to set an acceleration threshold based on the analysis result of the dynamic time warping model. When there is no spatio-temporal correlation between the blade motion trajectory and the current waveform, perform superposition current harmonic distortion rate analysis on the motion with a rotational acceleration lower than the acceleration threshold, and trigger the equipment aging marking.

4. The system according to claim 3, wherein The specific process of performing similarity matching with the standard lightning strike waveform is as follows: ； Among them, represents the output data of the current waveform collected in real time, represents the standard lightning strike waveform template data, is a time point sequence, and each time point corresponds to a current amplitude, represents the dynamic time warping distance.

5. The system according to claim 3, wherein The specific process of analyzing the time series correlation between the blade motion trajectory and the current waveform is as follows: Construct a cumulative distance matrix to calculate the optimal alignment path: ； Among them, are the th point of the current waveform sequence and the th point of the motion trajectory sequence respectively, represents the local distance between the th point of the current waveform sequence and the th point of the motion trajectory sequence ; is the cumulative distance matrix, representing the optimal alignment distance between the first points of the current waveform sequence and the first points of the motion trajectory sequence ; represents the optimal distance between the first points of the current waveform and the first points of the motion trajectory, represents the optimal distance between the first points of the current waveform and the first points of the motion trajectory, represents the optimal distance between the first points of the current waveform and the first points of the motion trajectory, represents selecting the alignment path with the minimum cumulative distance to ensure is the optimal solution for the current point; Starting from the data in the lower right corner of the cumulative distance matrix and recursively backtracking to the upper left corner , select the direction corresponding to the minimum cumulative distance at each step to form the optimal path ; Perform linear regression on the path points and calculate the coefficient of determination and the standard deviation : ； ； Among them, represents the total number of points on the optimal path, is the predicted value, is the mean of the motion sequence, represents the slope of adjacent points on the optimal path, represents the average slope; Set a determination coefficient threshold and a standard deviation threshold. If the determination coefficient is higher than the determination coefficient threshold and the standard deviation is lower than the standard deviation threshold, mark it as having spatio-temporal correlation.

6. The system according to claim 5, wherein The specific process of performing superposition current harmonic distortion rate analysis is as follows: Set an acceleration threshold and a distortion rate threshold respectively; When the rotational acceleration of the blade is lower than the set acceleration threshold and the current harmonic distortion rate is higher than the distortion rate threshold, it is determined that the equipment is aging and an equipment aging label is added.

7. The system according to claim 3, characterized in that, The lightning strike event recording module includes: The blade status monitoring unit is used to monitor the periodic changes of the magnetic field at the blade edge and calculate the blade rotation angle based on the number of magnetic field cycles; An anomaly detection unit is used to detect anomalies in the time intervals between adjacent pulses, eliminate discontinuous pulses caused by human manipulation, and define the remaining pulses as valid pulses; A valid pulse counting unit, used for binding the valid pulse count with the corresponding timestamp and current peak value and storing them in a ring buffer; The lightning event statistics unit is used to generate a lightning event statistics report based on the stored data in the ring buffer, including a frequency distribution diagram, maximum current value and seasonal correlation analysis.

8. The system according to claim 4, characterized in that, The event fusion determination module includes: The command transmission unit is used to trigger the red state lock in the event of a lightning strike and transmit the color switching command to the blade until the manual reset command is released; For equipment aging, the yellow progressive rotation is triggered, the color switching instruction is transmitted to the blade, and the current change is continuously detected until the manual reset instruction is released; Fault isolation locking unit, used to send a locking instruction to the adjacent circuit breaker when the blade receives any color switching instruction, forming a fault isolation area; The evaluation report generating unit is used to generate a lightning strike tolerance evaluation report after receiving a manual reset instruction.

9. The system according to claim 1, wherein The device for performing the functions of the lightning-based current change monitoring system includes: A housing, wherein a display window is provided on the housing, and a signal receiving unit for receiving a color switching instruction is provided inside the housing; The three-color blade is arranged inside the shell and is connected to the signal receiving unit.

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