A lightning-induced current change monitoring system and device

Abstract

The present invention is applicable to the field of lightning strike monitoring and provides a lightning-based current change monitoring system and device. The motion parameter acquisition module acquires parameters such as blade rotation acceleration and motion trajectory, combines them with current waveform data, and uses a dynamic time warping model and similarity matching algorithm through a blade dynamic feature analysis module to determine the lightning strike event or equipment aging status. The lightning strike event recording module monitors periodic changes in the magnetic field and generates event records associated with timestamps. The event fusion judgment module drives the blade color switching based on the fusion results, links fault isolation, and stores composite event data. This solution improves the accuracy of lightning strike event identification and equipment abnormality warning capabilities through multi-parameter fusion analysis and intelligent response mechanisms, providing an efficient monitoring method for power system lightning protection operation and maintenance. It has the characteristics of strong 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 in particular relates to a lightning strike-based current change monitoring system and a device thereof. Background Art

[0002] Abnormal currents caused by lightning strikes pose a significant threat to equipment safety. The development of smart grids is raising the bar for real-time monitoring of lightning strikes and equipment status assessment. Current industry technology is moving toward multi-parameter integration and intelligent analysis. Existing technologies often rely on single-parameter monitoring, using current sensors to collect waveform data for lightning strike detection and mechanical sensors to monitor equipment rotation.

[0003] Although some solutions involve multi-parameter acquisition, they lack temporal correlation analysis between motion trajectory and current waveform, and have not established a differentiated 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 technology.

[0005] The present invention is implemented as follows: a lightning-based current change monitoring system, the system comprising:

[0006] A motion parameter acquisition module, used to obtain real-time motion parameters of the blade in the indicating device through a motion sensor, wherein the motion parameters include rotation acceleration, rotation duration and motion trajectory;

[0007] a blade dynamic characteristic analysis module, configured to analyze the blade dynamic characteristics based on the motion parameters and, in combination with the current waveform data, determine the current event status, wherein the current event status includes a lightning strike event and equipment aging;

[0008] The lightning event recording module is used to monitor the periodic changes in the magnetic field at the blade edge, count the number of complete rotations corresponding to the lightning event, and generate a lightning event record associated with a timestamp;

[0009] The event fusion judgment module is used to drive the blades to switch color states according to the fusion judgment results of the current event state and the lightning event record, and store composite event data including motion characteristics, current waveforms and magnetic field pulses.

[0010] As a further solution of the present invention, the motion parameter acquisition module includes:

[0011] The data acquisition unit is used to collect the three-dimensional rotation acceleration data of the blade, and synchronously obtain the magnetic flux change signal of the magnetic material at the blade edge and the induction coil, and extract the pulse sequence;

[0012] The time domain alignment unit is used to align the acceleration data with the magnetic pulse signal in the time domain and establish a mapping relationship between the motion trajectory and the magnetic field change;

[0013] The interference filtering unit is used to filter out mechanical vibration interference signals and retain valid motion feature data.

[0014] As a further solution of the present invention, the blade dynamic characteristics analysis module includes:

[0015] A rotational acceleration analysis unit, configured to calculate the first-order derivative of the rotational acceleration based on the rotational acceleration data and generate an acceleration change rate curve;

[0016] A similarity matching unit is used to extract the wave head time, wave tail time and amplitude characteristics of the current waveform from the acceleration change rate curve, and perform similarity matching with the standard lightning waveform;

[0017] 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;

[0018] The lightning event marker trigger unit is used to set a mutation threshold and a matching threshold when there is a spatiotemporal correlation between the blade motion trajectory and the current waveform based on the analysis results of the dynamic time warping model. When the acceleration change rate exceeds the mutation threshold and the waveform similarity is greater than the matching threshold, the lightning event marker is triggered;

[0019] The equipment aging mark trigger unit is used to set an acceleration threshold based on the analysis results of the dynamic time warping model when there is no spatiotemporal correlation between the blade motion trajectory and the current waveform. For movements with rotational acceleration lower than the acceleration threshold, the current harmonic distortion rate analysis is superimposed to trigger the equipment aging mark.

[0020] As a further solution of the present invention, the similarity matching with the standard lightning waveform is specifically as follows:

[0021] ;

[0022] in, Indicates the current waveform output data collected in real time, Represents standard lightning waveform template data, is a sequence of time points, each time point corresponds to a current amplitude, represents the dynamic time warping distance.

[0023] As a further solution of the present invention, the analysis of the temporal correlation between the blade motion trajectory and the current waveform is specifically as follows:

[0024] Construct a cumulative distance matrix to calculate the optimal alignment path:

[0025] ;

[0026] in, The current waveform sequence No. Points and motion trajectory sequences No. Points, Represents the current waveform sequence No. Points and motion trajectory sequences No. The local distance between points, is the cumulative distance matrix, representing the current waveform sequence Before Points and motion trajectory sequences Before The optimal alignment distance of points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, This means that the alignment path with the smallest cumulative distance is selected to ensure is the optimal solution for the current point;

[0027] From the lower right corner data of the cumulative distance matrix Start by recursively backtracking to the upper left corner , each step selects the direction corresponding to the minimum cumulative distance to form the optimal path ;

[0028] Waypoints Perform linear regression and calculate the coefficient of determination and standard deviation :

[0029] ;

[0030] ;

[0031] in, 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.

[0032] The coefficient of determination threshold and the standard deviation threshold are set. 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 spatiotemporal correlation.

[0033] As a further solution of the present invention, the superimposed current harmonic distortion rate analysis is specifically as follows:

[0034] Set the acceleration threshold and distortion rate threshold respectively;

[0035] 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.

[0036] As a further solution of the present invention, the lightning event recording module includes:

[0037] 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;

[0038] 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;

[0039] 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;

[0040] 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.

[0041] As a further solution of the present invention, the event fusion determination module includes:

[0042] 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;

[0043] 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;

[0044] 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;

[0045] The evaluation report generating unit is used to generate a lightning strike tolerance evaluation report after receiving a manual reset instruction.

[0046] As a further solution of the present invention, the device for performing the functions of the lightning-based current change monitoring system includes:

[0047] 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;

[0048] The three-color blade is arranged inside the shell and is connected to the signal receiving unit.

[0049] The beneficial effects of the present invention are:

[0050] 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.

[0051] 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

[0052] Figure 1 A structural block diagram of a current change monitoring system based on lightning strikes provided by an embodiment of the present invention;

[0053] Figure 2 A structural block diagram of a motion parameter acquisition module provided in an embodiment of the present invention;

[0054] Figure 3 A structural block diagram of a blade dynamic characteristics analysis module provided in an embodiment of the present invention;

[0055] Figure 4 A structural block diagram of a lightning event recording module provided in an embodiment of the present invention;

[0056] Figure 5 A structural block diagram of an event fusion determination module provided in an embodiment of the present invention;

[0057] 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.

[0058] Figures: 1. Outer shell; 2. Display window; 3. Three-color blades. DETAILED DESCRIPTION

[0059] 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.

[0060] 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:

[0061] 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;

[0062] 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.

[0063] This design converts the magnetic pulse signal corresponding to every 10-degree rotation of the blade into a digital quantity. During a lightning strike test, when the blade experiences a sudden acceleration of 200° / s² due to the lightning current impact, the magnetic sensor synchronously outputs five pulse signals to accurately record the rotation angle increment.

[0064] Using an interpolation synchronization algorithm, the acceleration data (sampling rate 10kHz) and the magnetic pulse signal (trigger frequency is variable) are timestamped and calibrated. By constructing a time mapping table, the sensor clock deviation is eliminated. For example, in a simulated strong wind interference scenario, the unit controls the timing error between the two types of signals to within 5ms, ensuring the spatiotemporal correspondence between the motion trajectory and the magnetic field changes.

[0065] The system integrates wavelet transform and adaptive threshold algorithm, and uses a fifth-order Butterworth bandpass filter (passband 20-500Hz) to filter the frequency bands common in substations, targeting mechanical vibrations (such as 100Hz low-frequency vibrations during transformer operation) and electromagnetic interference (such as high-frequency noise generated by switch operations). In actual measurements at substation A, this unit improved the signal-to-noise ratio of the effective signal by 15dB and successfully retained the transient acceleration characteristics caused by lightning strikes (such as the 100-300Hz frequency component).

[0066] This module forms a cross-verification mechanism of "motion state-magnetic field change" through dual perception of acceleration and magnetic signals. For example, when a person accidentally touches the blade and causes abnormal acceleration, the non-periodicity of the magnetic pulse sequence can be identified by the anomaly detection unit, avoiding the false triggering of the lightning strike alarm.

[0067] Time domain alignment technology solves the synchronization problem of asynchronous sampling of multiple sensors, making the error of timing correlation analysis between current waveform and blade motion less than one sampling cycle, providing a reliable data basis for subsequent dynamic time warping model.

[0068] The interference filtering algorithm is optimized for interference scenarios unique to power equipment. It can not only suppress mechanical vibration noise during daily operation, but also retain the high-frequency acceleration mutations at the moment of lightning strike. In actual measurements during the thunderstorm season, the system's missed reporting rate for lightning strike events was reduced to 0.3%, far lower than the 5% missed reporting rate of traditional single acceleration monitoring solutions.

[0069] This multi-dimensional sensing and intelligent processing design 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 blade rotation acceleration (e.g., a decrease of 0.5° / s² per year), potential faults such as bearing wear can be predicted in advance.

[0070] a blade dynamic characteristics analysis module 200 for analyzing blade dynamic characteristics based on the motion parameters and combining the current waveform data to determine a current event state, wherein the current event state includes a lightning strike event and equipment aging;

[0071] This module integrates kinematic and electrical signal characteristics to build an intelligent identification system for lightning strikes and equipment aging. Using a five-point difference method to calculate first-order derivatives, the module generates acceleration rate curves with millisecond resolution at a 10kHz sampling rate. For example, in a simulated 20kA lightning current impulse test, when blade acceleration suddenly increased from 0 to 300° / s², the unit captured a sudden peak of 1500° / s³, providing a dynamic basis for lightning strike feature extraction.

[0072] The wave crest time (e.g., 1.2μs), wave tail time (50μs), and amplitude characteristics (10kA) of the current waveform are matched with the standard lightning waveform template (IEC61000-2-13) through DTW. In actual measurements during thunderstorms, the similarity between the real-time current waveform and the template reached 0.89, and a lightning warning was triggered when the threshold of 0.8 was exceeded.

[0073] A 100×100 cumulative distance matrix was constructed to process the asynchronous data of current waveforms and motion trajectories. The optimal alignment path was obtained through recursive backtracking. In the wind farm case, this unit increased the coefficient of determination of the current waveform and motion trajectory with a blade rotation delay of 10ms to 0.92, and the standard deviation was controlled within 0.05, confirming it as a spatiotemporal correlation event.

[0074] This module uses dual thresholds for acceleration change rate and waveform similarity (for example, a mutation threshold of 1000° / s³ and a matching threshold of 0.7) to reduce the false alarm rate of lightning strikes in urban distribution network scenarios from 12% with traditional solutions to 1.5%. In an application example at substation A, the system accurately identified 32 lightning strikes without a single false alarm.

[0075] The dynamic time warping model solves the timing offset problem between current and motion signals, maintaining a correlation recognition rate above 0.85 even in scenarios with signal delays caused by lightning wave propagation (e.g., 5-20ms). The equipment aging marker trigger unit uses a combined analysis of acceleration thresholds (e.g., 50° / s²) and harmonic distortion (THD>8%) to proactively detect increased rotational resistance caused by insulator aging during transmission line monitoring, identifying potential faults earlier than traditional periodic inspections.

[0076] This design, which couples mechanical motion characteristics with electrical parameter analysis, not only enables real-time early warning of lightning strikes, but also provides a dynamic monitoring method for evaluating the health status of power equipment, increasing the timeliness of equipment anomaly identification by more than three times.

[0077] A lightning event recording module 300 is used to monitor the periodic changes in the magnetic field at the blade edge, count the number of complete rotations corresponding to the lightning event, and generate a lightning event record associated with a timestamp;

[0078] 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.

[0079] 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.

[0080] 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).

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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%.

[0085] 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%.

[0086] 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.

[0087] The event fusion determination module 400 is used to drive the blade to switch color state according to the fusion determination result of the current event state and the lightning event record, and store the composite event data including motion characteristics, current waveform and magnetic field pulse.

[0088] By integrating state visualization and fault isolation strategies, an intelligent response system for lightning strikes and equipment anomalies has been established. The module's command transmission unit utilizes a duplex communication protocol. Upon receiving a lightning event marker, it sends a PWM signal to the three-color blades, triggering the red LED array to lock into a constant state. For example, after experiencing a 15kA lightning current at substation A, the blades switched to red within 200ms and remained lit until manually reset by maintenance personnel. To address equipment aging scenarios, the unit generates a frequency-gradient PWM signal, driving the blades to gradually rotate to yellow at an angular velocity of 0.5° / s. During transmission line monitoring, after three days of continuous yellow blade rotation, the current harmonic distortion rate increased from 9% to 12%, providing an early warning of insulator aging. The fault isolation and lockout unit utilizes a CAN bus communication mechanism. When the blade color switching command takes effect, it sends a lockout command containing a fault location code (such as 0x101) to three adjacent circuit breakers. In the event of a lightning strike on the distribution network, the system isolates the faulted area within 50ms, shortening the response time by 200ms compared to traditional overcurrent protection. The assessment report generation unit integrates composite event data from three months to generate a PDF report containing a scatter plot of lightning strike count and current amplitude, an equipment aging trend curve, and a fault isolation efficiency analysis. Based on the conclusions in the report, the wind farm will retrofit the lightning protection and grounding system in advance.

[0089] The module provides a linkage design of color status switching and fault isolation, realizing the dual protection of "visual warning-physical isolation". In power grid applications, the mishandling rate of lightning strike events is reduced from 15% of traditional solutions to 0.9%.

[0090] The combination of progressive color rotation and continuous current monitoring allows the aging trends of equipment to be quantified and tracked. For example, substation A accurately located the aging time of the bushing seal by observing the change in the yellow rotation cycle (from an initial 10 minutes / time to a later 2 minutes / time).

[0091] This design, which deeply integrates status visualization, fault isolation, and data analysis, not only improves the power system's fault response speed (average response time <300ms), but also provides a closed-loop management tool for smart operation and maintenance, increasing the planning of equipment maintenance by more than four times.

[0092] like Figure 2 As shown, the motion parameter acquisition module 100 includes:

[0093] The data acquisition unit 110 is used to collect the three-dimensional rotation acceleration data of the blade, and synchronously obtain the magnetic flux change signal of the magnetic material at the blade edge and the induction coil, and extract the pulse sequence;

[0094] The time domain alignment unit 120 is used 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;

[0095] The interference filtering unit 130 is used to filter out mechanical vibration interference signals and retain valid motion feature data.

[0096] like Figure 3 As shown, the blade dynamic characteristics analysis module 200 includes:

[0097] The rotation acceleration analysis unit 210 is used to calculate the first-order derivative of the rotation acceleration based on the rotation acceleration data and generate an acceleration change rate curve;

[0098] A similarity matching unit 220 is used to extract the wave head time, wave tail time and amplitude characteristics of the current waveform from the acceleration change rate curve, and perform similarity matching with the standard lightning waveform;

[0099] A time series correlation analysis unit 230 is used to establish a dynamic time warping model and analyze the time series correlation between the blade motion trajectory and the current waveform;

[0100] A lightning event marker triggering unit 240 is configured to set a mutation threshold and a matching threshold based on the analysis results of the dynamic time warping model when there is a spatiotemporal 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 threshold, a lightning event marker is triggered.

[0101] The equipment aging mark trigger unit 250 is used to set an acceleration threshold based on the analysis results of the dynamic time warping model when there is no spatiotemporal correlation between the blade motion trajectory and the current waveform. For movements with rotational acceleration lower than the acceleration threshold, the current harmonic distortion rate analysis is superimposed to trigger the equipment aging mark.

[0102] In this step, the similarity matching with the standard lightning waveform is specifically as follows:

[0103] ;

[0104] in, Indicates the current waveform output data collected in real time, Represents standard lightning waveform template data, is a sequence of time points, each time point corresponds to a current amplitude, represents the dynamic time warping distance.

[0105] The analysis of the temporal correlation between the blade motion trajectory and the current waveform is specifically as follows:

[0106] Construct a cumulative distance matrix to calculate the optimal alignment path:

[0107] ;

[0108] in, The current waveform sequence No. Points and motion trajectory sequences No. Points, Represents the current waveform sequence No. Points and motion trajectory sequences No. The local distance between points, is the cumulative distance matrix, representing the current waveform sequence Before Points and motion trajectory sequences Before The optimal alignment distance of points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, This means that the alignment path with the smallest cumulative distance is selected to ensure is the optimal solution for the current point;

[0109] From the lower right corner data of the cumulative distance matrix Start by recursively backtracking to the upper left corner , each step selects the direction corresponding to the minimum cumulative distance to form the optimal path ;

[0110] Waypoints Perform linear regression and calculate the coefficient of determination and standard deviation :

[0111] ;

[0112] ;

[0113] in, 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.

[0114] The coefficient of determination threshold and the standard deviation threshold are set. 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 spatiotemporal correlation.

[0115] The superimposed current harmonic distortion rate analysis is specifically as follows:

[0116] Set the acceleration threshold and distortion rate threshold respectively;

[0117] 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.

[0118] like Figure 4 As shown, the lightning event recording module 300 includes:

[0119] 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;

[0120] 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;

[0121] 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;

[0122] 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.

[0123] like Figure 5 As shown, the event fusion determination module 400 includes:

[0124] 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;

[0125] 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;

[0126] 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;

[0127] The evaluation report generating unit 440 is configured to generate a lightning strike tolerance evaluation report after receiving a manual reset instruction.

[0128] like Figure 6As shown, the device for performing the functions of the lightning-based current change monitoring system includes:

[0129] A housing 1 having a display window 2 and a signal receiving unit for receiving a color switching instruction;

[0130] The three-color blade 3 is disposed inside the housing 1 and is connected to the signal receiving unit.

[0131] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0132] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0133] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A lightning-induced current change monitoring system, characterized in that: The system comprises: A motion parameter acquisition module, used to obtain real-time motion parameters of the blade in the indicating device through a motion sensor, wherein the motion parameters include rotation acceleration, rotation duration and motion trajectory; The motion parameter acquisition module includes: The data acquisition unit is used to collect the three-dimensional rotation acceleration data of the blade, and synchronously obtain the magnetic flux change signal of the magnetic material at the blade edge and the induction coil, and extract the pulse sequence; The time domain alignment unit is used to align the acceleration data with the magnetic pulse signal in the time domain and establish a mapping relationship between the motion trajectory and the magnetic field change; Interference filtering unit, used to filter out mechanical vibration interference signals and retain effective motion feature data; a blade dynamic characteristic analysis module, configured to analyze the blade dynamic characteristics based on the motion parameters and, in combination with the current waveform data, determine the current event status, wherein the current event status includes a lightning strike event and equipment aging; The blade dynamic characteristics analysis module includes: A rotational acceleration analysis unit, configured to calculate the first-order derivative of the rotational acceleration based on the rotational acceleration data and generate an acceleration change rate curve; A similarity matching unit is used to extract the wave head time, wave tail time and amplitude characteristics of the current waveform from the acceleration change rate curve, and perform similarity matching with the standard lightning 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 event marker trigger unit is used to set a mutation threshold and a matching threshold when there is a spatiotemporal correlation between the blade motion trajectory and the current waveform based on the analysis results of the dynamic time warping model. When the acceleration change rate exceeds the mutation threshold and the waveform similarity is greater than the matching threshold, the lightning event marker is triggered; The equipment aging mark trigger unit is used to set an acceleration threshold based on the analysis results of the dynamic time warping model when there is no spatiotemporal correlation between the blade motion trajectory and the current waveform. For movements with rotational acceleration below the acceleration threshold, the current harmonic distortion rate analysis is superimposed to trigger the equipment aging mark; The lightning event recording module is used to monitor the periodic changes in the magnetic field at the blade edge, count the number of complete rotations corresponding to the lightning event, and generate a lightning event record associated with a timestamp; The event fusion judgment module is used to drive the blades to switch color states according to the fusion judgment results of the current event state and the lightning event record, and store composite event data including motion characteristics, current waveforms and magnetic field pulses.

2. The system according to claim 1, wherein: The similarity matching with the standard lightning waveform is specifically as follows: ； in, Indicates the current waveform output data collected in real time, Represents standard lightning waveform template data, is a sequence of time points, each time point corresponds to a current amplitude, represents the dynamic time warping distance.

3. The system according to claim 1, wherein: The analysis of the temporal correlation between the blade motion trajectory and the current waveform is specifically as follows: Construct a cumulative distance matrix to calculate the optimal alignment path: ； in, The current waveform sequence No. Points and motion trajectory sequences No. Points, Represents the current waveform sequence No. Points and motion trajectory sequences No. The local distance between points, is the cumulative distance matrix, representing the current waveform sequence Before Points and motion trajectory sequences Before The optimal alignment distance of points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, Before showing the current waveform Points and motion trajectory The optimal distance between points, This means that the alignment path with the smallest cumulative distance is selected to ensure is the optimal solution for the current point; From the lower right corner data of the cumulative distance matrix Start by recursively backtracking to the upper left corner , each step selects the direction corresponding to the minimum cumulative distance to form the optimal path ; Waypoints Perform linear regression and calculate the coefficient of determination and standard deviation : ； ； in, 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; The coefficient of determination threshold and the standard deviation threshold are set. 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 spatiotemporal correlation.

4. The system according to claim 3, characterized in that The superimposed current harmonic distortion rate analysis 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.

5. The system according to claim 1, wherein: 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.

6. The system according to claim 1, wherein: 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.

7. 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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