An anomaly early warning method and device based on waveform recorder

Abstract

This invention discloses an anomaly early warning method and device based on a waveform recorder, relating to the field of power detection technology. It determines whether the target power system is in a stable operating state by acquiring key indicator values ​​of the target power system. When the target power system is not in a stable operating state, it obtains a state coefficient by acquiring the waveform recorder's memory capacity, current value, and transmission rate uploaded to the monitoring system. This coefficient, combined with the waveform recorder's initially preset sampling frequency, yields the waveform recorder's final sampling frequency. The waveform recorder collects data from the target power system based on the final sampling frequency to detect any problems and issue an anomaly early warning. This allows for the determination of a suitable sampling frequency for the waveform recorder based on actual conditions, ensuring that the waveform recorder can capture minute fluctuations and potential abnormal signals at high-frequency sampling, enabling timely detection of potential faults and ensuring that power system anomaly early warnings are not missed.

Description

Technical Field

[0001] This invention relates to the field of power detection technology, and specifically to an anomaly early warning method and device based on a waveform recorder. Background Technology

[0002] The anomaly early warning method based on waveform recorders is mainly used for fault detection and early warning in power systems. A waveform recorder is a device that can monitor and record electrical signal waveforms in real time. It can capture waveform changes of signals such as current and voltage in the power system. By analyzing these signals, it can determine whether there is an anomaly. If there is an anomaly, it can determine that the corresponding power system is abnormal and issue an early warning to remind the relevant personnel to carry out maintenance in time to ensure the normal operation of the power system.

[0003] In the process of using waveform recorders to detect and warn of faults in power systems, the sampling frequency of the waveform recorder on the power system data is related to the accuracy of fault detection. If the appropriate sampling frequency of the waveform recorder cannot be determined according to the actual situation, it may be difficult to detect potential fault hazards in a timely manner, resulting in the lack of power system anomaly warnings. Summary of the Invention

[0004] The purpose of this invention is to solve the problems mentioned above and to propose an anomaly early warning method and device based on a waveform recorder.

[0005] In a first aspect of this invention, an anomaly early warning method based on a waveform recorder is first proposed, the method comprising:

[0006] Obtain the key indicator values ​​of the target power system, and combine them with the preset key indicator values ​​corresponding to the target power system under stable operating conditions to determine whether the target power system is in a stable operating state;

[0007] When the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system are obtained, and the state coefficient of the waveform recorder is obtained based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system.

[0008] The final sampling frequency of the waveform recorder is obtained from the initial preset sampling frequency of the waveform recorder based on the state coefficient of the waveform recorder.

[0009] The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an anomaly warning.

[0010] Optionally, determining whether the target power system is in a stable operating state includes:

[0011] Within a preset time period, key indicator values ​​of the target power system are acquired continuously at multiple times as actual value sequences; corresponding preset key indicator value sequences are also acquired as preset value sequences; and the actual value sequences and preset value sequences at each time point are preprocessed.

[0012] Construct a distance matrix, where each element is the distance between the actual numerical sequence data point and the corresponding preset numerical sequence data point;

[0013] The shortest path in the distance matrix is ​​calculated using dynamic programming to find the best match between the actual numerical sequence and the preset numerical sequence.

[0014] Align the actual numerical sequence with the preset numerical sequence based on the calculated shortest path;

[0015] Calculate the similarity between the aligned actual numerical sequence and the preset numerical sequence, and compare the similarity with the preset similarity threshold.

[0016] If the similarity is greater than the preset similarity threshold, it is determined that the target power system is in a stable operating state. The waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, determines whether there is a problem with the target power system, and issues an abnormal warning.

[0017] If the similarity is not greater than the preset similarity threshold, the target power system is determined to be not in a stable operating state.

[0018] Optionally, the state coefficients of the waveform recorder, based on its memory capacity, current value, and transmission rate to the monitoring system, include:

[0019] To obtain the maximum available memory capacity and the current remaining available memory capacity of the waveform recorder, calculate the waveform recorder's memory utilization rate using the following formula: In the formula, For memory usage, and These are the maximum available memory capacity of the waveform recorder and the current remaining available memory capacity of the waveform recorder, respectively.

[0020] Continuously acquire the memory usage rate of the waveform recorder within the most recent preset period to obtain a memory usage rate sequence;

[0021] Calculate the standard deviation of the memory usage rate sequence. The formula for calculating the memory stability factor is as follows: In the formula, This refers to the memory stability factor.

[0022] Based on memory usage and memory stability coefficient The memory space coefficient of the waveform recorder is calculated using the following formula: In the formula, This is the memory space coefficient. and These are preset weight values, and and All are greater than 0;

[0023] The state coefficient of the waveform recorder is obtained based on the waveform recorder's memory space coefficient, current value, and transmission rate to the monitoring system.

[0024] Optionally, the state coefficients of the waveform recorder can be obtained based on the recorder's memory space coefficient, current value, and transmission rate to the monitoring system, including:

[0025] The current value of the waveform recorder is acquired continuously over multiple time periods within the most recent preset period to obtain a sequence of connection current values;

[0026] Calculate the standard deviation of the connection current value sequence and use the standard deviation of the connection current value sequence as the current fluctuation value;

[0027] Each value in the current value sequence is compared with a preset minimum current value threshold, and values ​​less than the preset minimum current value threshold are recorded as low current values.

[0028] Divide the total number of low current values ​​in the connection current value sequence by the total number of values ​​in the connection current value sequence to obtain the current non-compliance value;

[0029] The current fluctuation value and the current non-compliance value are normalized, and the current stability coefficient is obtained based on the normalized current fluctuation value and the current non-compliance value. The calculation formula is as follows: In the formula, The current stability coefficient, and These are the normalized current fluctuation value and the current non-compliance value, respectively. and These are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current non-compliance value, respectively. and All are greater than 0;

[0030] The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and transmission rate to the monitoring system.

[0031] Optionally, the state coefficients of the waveform recorder can be obtained based on the recorder's memory space coefficient, current stability coefficient, and transmission rate to the monitoring system, including:

[0032] The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and data transmission rate coefficient. The data transmission rate coefficient includes:

[0033] The data transmission rate sequence is obtained by acquiring the transmission rate of the waveform recorder uploaded to the monitoring system in the most recent preset period based on the time sequence of the waveform recorder at multiple consecutive moments.

[0034] Calculate the average value of the data transmission rate sequence. Standard deviation and the first quartile and the third and fourth quartiles The calculation steps are as follows:

[0035] Let the number of data points in the data transmission rate sequence be... Calculate the position of the first quartile. : ;like For integers, the first quartile The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points;

[0036] like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, For data transmission rate sequence, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to the sequential data points.

[0037] Optionally, the data transmission rate coefficient further includes:

[0038] Calculate the third quartile Location : ;like For integers, the third and fourth quartiles The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points;

[0039] like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to each sequential data point;

[0040] Calculate the interquartile range of the data transmission rate sequence The calculation formula is: ;

[0041] The formula for calculating the data transmission rate coefficient of the waveform recorder is as follows: In the formula, This is the data transmission rate coefficient.

[0042] Optionally, the state coefficients of the waveform recorder, obtained based on the recorder's memory space coefficient, current stability coefficient, and data transmission rate coefficient, include:

[0043] The memory space coefficient, current stability coefficient, and data transmission rate coefficient are normalized, and the state coefficient of the waveform recorder is obtained based on the normalized memory space coefficient, current stability coefficient, and data transmission rate coefficient. The calculation formula is as follows:

[0044] ,

[0045] In the formula, The state coefficients of the waveform recorder These represent the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. These are the preset proportional coefficients for the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. All are greater than 0.

[0046] Optionally, the final sampling frequency of the waveform recorder is obtained from the initially preset sampling frequency of the waveform recorder based on the state coefficients of the waveform recorder, including:

[0047] ,

[0048] In the formula, The final sampling frequency of the waveform recorder. The initial preset sampling frequency for the waveform recorder. represents the state coefficient of the waveform recorder.

[0049] In a second aspect of the invention, an anomaly early warning device based on a waveform recorder is provided, comprising: the device comprising:

[0050] Judgment Module: Obtain the key indicator values ​​of the target power system and, in conjunction with the preset key indicator values ​​corresponding to the target power system under stable operating conditions, determine whether the target power system is in a stable operating state.

[0051] State coefficient calculation module: When the target power system is not in a stable operating state, the module obtains the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system, and obtains the state coefficient of the waveform recorder based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system.

[0052] Final sampling frequency module: The final sampling frequency of the waveform recorder is obtained based on the initial preset sampling frequency of the waveform recorder and the state coefficient of the waveform recorder.

[0053] Early warning module: The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an abnormality warning.

[0054] The beneficial effects of this invention are:

[0055] This invention proposes an anomaly early warning method and device based on a waveform recorder. It acquires key indicator values ​​of the target power system and, combined with preset key indicator values ​​corresponding to the target power system under stable operating conditions, determines whether the target power system is in a stable operating state. When the target power system is not in a stable operating state, it acquires the waveform recorder's memory capacity, current value, and transmission rate to the monitoring system to obtain a state coefficient. Based on the waveform recorder's state coefficient and its initially preset sampling frequency, it obtains the waveform recorder's final sampling frequency. The waveform recorder collects data from the target power system according to the final sampling frequency, generates corresponding waveforms, and determines whether there are problems with the target power system based on the waveforms, issuing an anomaly early warning. In this way, the appropriate sampling frequency of the waveform recorder can be determined according to the actual situation, ensuring that the waveform recorder captures minute fluctuations and potential abnormal signals at high-frequency sampling, enabling timely detection of potential fault hazards and ensuring that power system anomaly early warnings are not missed. Attached Figure Description

[0056] The present invention will now be further described with reference to the accompanying drawings.

[0057] Figure 1 A flowchart of an anomaly early warning method based on a waveform recorder;

[0058] Figure 2 This is a framework diagram of an anomaly early warning device based on a waveform recorder. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0060] Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] This invention provides an anomaly early warning method based on a waveform recorder. See also... Figure 1 , Figure 1 A flowchart illustrating an anomaly early warning method based on a waveform recorder, provided as an embodiment of the present invention. The method includes the following steps:

[0062] Obtain the key indicator values ​​of the target power system, and combine them with the preset key indicator values ​​corresponding to the target power system under stable operating conditions to determine whether the target power system is in a stable operating state;

[0063] When the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system are obtained, and the state coefficient of the waveform recorder is obtained based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system.

[0064] The final sampling frequency of the waveform recorder is obtained from the initial preset sampling frequency of the waveform recorder based on the state coefficient of the waveform recorder.

[0065] The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an anomaly warning.

[0066] Based on the present invention, an anomaly early warning method based on a waveform recorder can be provided. By means of the above method, the appropriate sampling frequency of the waveform recorder can be determined according to the actual situation, ensuring that the waveform recorder can capture small fluctuations and potential abnormal signals under high-frequency sampling, and can detect potential fault hazards in a timely manner, ensuring that the power system anomaly early warning is not missed.

[0067] In one embodiment, determining whether the target power system is in a stable operating state includes:

[0068] Within a preset time period, key indicator values ​​of the target power system are acquired continuously at multiple times as actual value sequences; corresponding preset key indicator value sequences are also acquired as preset value sequences; and the actual value sequences and preset value sequences at each time point are preprocessed.

[0069] Construct a distance matrix, where each element is the distance between the actual numerical sequence data point and the corresponding preset numerical sequence data point;

[0070] The shortest path in the distance matrix is ​​calculated using dynamic programming to find the best match between the actual numerical sequence and the preset numerical sequence.

[0071] Align the actual numerical sequence with the preset numerical sequence based on the calculated shortest path;

[0072] Calculate the similarity between the aligned actual numerical sequence and the preset numerical sequence, and compare the similarity with the preset similarity threshold.

[0073] If the similarity is greater than the preset similarity threshold, it is determined that the target power system is in a stable operating state. The waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, determines whether there is a problem with the target power system, and issues an abnormal warning.

[0074] If the similarity is not greater than the preset similarity threshold, the target power system is determined to be not in a stable operating state.

[0075] It should be noted that the preset time period is set by professionals, and the specific value can be determined by professionals according to the actual situation, without specific limitations or elaboration; in addition, the preset similarity threshold is set by professionals, and the specific value can be determined by professionals according to the actual situation, without specific limitations or elaboration.

[0076] It should be noted that the key indicators of the target power system can be voltage, current, frequency, power, or other data related to the stable operation of the target power system, such as phase angle, power factor, harmonic distortion, power quality, temperature, etc. The specific key indicators can be determined by professionals based on the actual situation, without specific limitations or elaboration.

[0077] It should be noted that the preset key indicator value sequence is set by professionals based on the actual situation. For example, professionals can refer to historical data of the target power system when it is operating stably, or other methods can be used. The specific settings depend on the actual situation and will not be specifically limited or elaborated.

[0078] It should be noted that by dynamically aligning the actual and preset key indicators in time and matching them using similarity, it is possible to effectively distinguish between stable and unstable operating states. When the operation is stable, the sampling frequency does not need to be adjusted, but when fluctuations are detected, adjusting the sampling frequency can more accurately capture potential abnormal signals and enhance the early warning capability of the power system.

[0079] In one implementation, the above method uses a dynamic time warping (DTW) algorithm to accurately align the actual and preset key power system indicator sequences, taking into account the nonlinear changes in the time series. This allows for the effective assessment of the difference between the current operating state and the normal state of the power system even when there are deviations on the processing time axis or the data points are not completely aligned. The similarity calculation results can more flexibly and accurately reflect the fluctuations of the power system, which helps to adjust the sampling frequency in a timely manner and improve the accuracy of fault detection and early warning effect.

[0080] In one embodiment, the state coefficients of the waveform recorder, obtained based on the recorder's memory capacity, current value, and transmission rate to the monitoring system, include:

[0081] To obtain the maximum available memory capacity and the current remaining available memory capacity of the waveform recorder, calculate the waveform recorder's memory utilization rate using the following formula: In the formula, For memory usage, and These are the maximum available memory capacity of the waveform recorder and the current remaining available memory capacity of the waveform recorder, respectively.

[0082] Continuously acquire the memory usage rate (i.e., the amount of memory used per second or per minute) of the waveform recorder within the most recent preset period to obtain a memory usage rate sequence;

[0083] Calculate the standard deviation of the memory usage rate sequence. The formula for calculating the memory stability factor is as follows: In the formula, This refers to the memory stability factor.

[0084] Based on memory usage and memory stability coefficient The memory space coefficient of the waveform recorder is calculated using the following formula: In the formula, This is the memory space coefficient. and These are preset weight values, and and All are greater than 0;

[0085] The state coefficient of the waveform recorder is obtained based on the waveform recorder's memory space coefficient, current value, and transmission rate to the monitoring system.

[0086] It should be noted that, and It is set up by professionals based on the actual situation. Generally speaking, and The sum of is 1, for example and The values ​​can be 0.5, 0.5, or other numbers; there are no specific restrictions.

[0087] It should be noted that the preset period is set by professionals, and the specific value can be determined by professionals according to the actual situation. No specific limits or details are given. In addition, the maximum available memory capacity and the current remaining available memory capacity of the waveform recorder can be obtained through the system information interface inside the waveform recorder. Furthermore, the memory usage rate data within the most recent preset period can be recorded by the waveform recorder's internal timer to construct a memory usage rate sequence, and then its standard deviation can be calculated through statistical analysis.

[0088] It's important to note that the lower the memory utilization rate and the higher the memory stability coefficient (i.e., the larger the memory space coefficient) of the waveform recorder, the better the waveform recorder's performance. This allows for a higher sampling frequency after adjustment, as more resources can be allocated when handling high-frequency data acquisition tasks, reducing the risk of data loss or sampling interruptions due to insufficient memory. Therefore, when memory utilization is low, the sampling frequency can be appropriately increased to enable the waveform recorder to capture more detailed information, improving data acquisition accuracy and fault detection reliability. Simultaneously, a higher memory stability coefficient indicates that the waveform recorder's memory usage rate has been relatively stable over a recent period, without frequent fluctuations or drastic changes. This means that memory resource usage is stable and controllable, allowing the waveform recorder to better handle large-scale data acquisition tasks. In this case, increasing the sampling frequency will not lead to performance degradation due to unstable memory usage rates. Therefore, the waveform recorder's sampling frequency can be dynamically adjusted when power system fluctuations occur or when higher detection accuracy requirements are needed.

[0089] In one embodiment, the state coefficient of the waveform recorder is obtained based on the waveform recorder's memory space coefficient, current value, and transmission rate uploaded to the monitoring system, including:

[0090] The current value of the waveform recorder is acquired continuously over multiple time periods within the most recent preset period to obtain a sequence of connection current values;

[0091] Calculate the standard deviation of the connection current value sequence and use the standard deviation of the connection current value sequence as the current fluctuation value;

[0092] Each value in the current value sequence is compared with a preset minimum current value threshold, and values ​​less than the preset minimum current value threshold are recorded as low current values.

[0093] Divide the total number of low current values ​​in the connection current value sequence by the total number of values ​​in the connection current value sequence to obtain the current non-compliance value;

[0094] The current fluctuation value and the current non-compliance value are normalized, and the current stability coefficient is obtained based on the normalized current fluctuation value and the current non-compliance value. The calculation formula is as follows: In the formula, The current stability coefficient, and These are the normalized current fluctuation value and the current non-compliance value, respectively. and These are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current non-compliance value, respectively. and All are greater than 0;

[0095] The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and transmission rate to the monitoring system.

[0096] It should be noted that, and It is set up by professionals based on the actual situation. Generally speaking, and The sum of is 1, for example and The values ​​can be 0.65, 0.35, or other numbers; there are no specific restrictions.

[0097] It should be noted that the preset minimum current threshold is set by professionals based on actual conditions, and no specific limitations or details are provided. In addition, the current value of the waveform recorder can be obtained through a current sensor installed at the power input terminal of the waveform recorder, or other methods, and no specific limitations are provided.

[0098] It's important to note that the smaller the current fluctuation and the lower the current non-compliance value (i.e., the larger the current stability coefficient), the better the waveform recorder's condition. The corresponding sampling frequency of the adjusted waveform recorder can be higher because smaller current fluctuations and non-compliance values ​​indicate a more stable current supply without significant fluctuations or interruptions. Current stability directly affects the overall operation of the waveform recorder, as abnormal current fluctuations can lead to unstable operation of internal components and even errors or interruptions during data acquisition. Therefore, a higher current stability coefficient indicates a stable and reliable current supply, allowing the waveform recorder to operate under good power conditions. In this case, the waveform recorder is in better condition and can acquire data more efficiently and continuously. Thus, the adjusted sampling frequency can be appropriately increased to capture more detailed data, improving fault detection accuracy and response speed. Conversely, if the current fluctuation is large, the current non-compliance value is high, and the current stability coefficient is small, it indicates an unstable power supply. The sampling frequency should be appropriately reduced to avoid data distortion or omissions at excessively high frequencies. Therefore, this positive correlation between the current stability coefficient and the sampling frequency ensures that the waveform recorder can perform at its best when the power supply is good, and can also maintain normal operation when the power supply is poor.

[0099] In one embodiment, the state coefficients of the waveform recorder, obtained based on the recorder's memory space coefficient, current stability coefficient, and transmission rate uploaded to the monitoring system, include:

[0100] The data transmission rate sequence is obtained by acquiring the transmission rate of the waveform recorder uploaded to the monitoring system in the most recent preset period based on the time sequence of the waveform recorder at multiple consecutive moments.

[0101] Calculate the average value of the data transmission rate sequence. Standard deviation and the first quartile and the third and fourth quartiles The calculation steps are as follows:

[0102] Let the number of data points in the data transmission rate sequence be... Calculate the position of the first quartile. : ;like For integers, the first quartile The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points;

[0103] like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, For data transmission rate sequence, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to each sequential data point;

[0104] Calculate the third quartile Location : ;like For integers, the third and fourth quartiles The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points;

[0105] like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to each sequential data point;

[0106] Calculate the interquartile range of the data transmission rate sequence The calculation formula is: ;

[0107] The formula for calculating the data transmission rate coefficient of the waveform recorder is as follows: In the formula, This is the data transmission rate coefficient;

[0108] The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and data transmission rate coefficient.

[0109] It should be noted that the monitoring system usually refers to a computer or network system connected to the waveform recorder. This system is used to monitor, collect and process the data and waveforms transmitted from the waveform recorder in real time, and to analyze and judge whether there are any abnormalities in the target power system and issue early warnings. It should also be noted that the transmission rate of the waveform recorder to the monitoring system can be obtained through the logs of the monitoring system, or other methods of obtaining the data, which will not be limited or elaborated here.

[0110] It should be noted that in the above calculation process, generally, in order to more accurately evaluate the stability of the data transmission rate uploaded by the waveform recorder to the monitoring system, the number of data points in the corresponding data transmission rate sequence is... Generally, there are many, therefore, it will be guaranteed. and The minimum value is 1;

[0111] It should be noted that by using methods such as quartile statistics, the interference of outliers on the results can be effectively identified and eliminated, ensuring that the calculated data transmission rate coefficient can more accurately reflect the stability of the waveform recorder's transmission to the monitoring system.

[0112] It should be noted that a higher data transmission rate coefficient indicates a better state of the waveform recorder, and consequently, a higher sampling frequency. This is because the data transmission rate coefficient reflects the waveform recorder's ability to successfully transmit data within a certain timeframe. A higher value indicates better assurance of data integrity, timeliness, and stability during transmission, resulting in improved transmission efficiency. A high data transmission rate means the waveform recorder can upload data faster, enabling the monitoring system to acquire and process real-time information more promptly. Therefore, the adjusted sampling frequency should also be appropriately increased to fully utilize this favorable transmission condition and achieve higher-frequency data acquisition.

[0113] In one embodiment, the state coefficients of the waveform recorder are obtained based on the waveform recorder's memory space coefficient, current stability coefficient, and data transmission rate coefficient, including:

[0114] The memory space coefficient, current stability coefficient, and data transmission rate coefficient are normalized, and the state coefficient of the waveform recorder is obtained based on the normalized memory space coefficient, current stability coefficient, and data transmission rate coefficient. The calculation formula is as follows:

[0115] ,

[0116] In the formula, The state coefficients of the waveform recorder These represent the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. These are the preset proportional coefficients for the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. All are greater than 0.

[0117] It should be noted that, It is set up by professionals based on the actual situation. Generally speaking, The sum of is 1, for example The values ​​can be 0.5, 0.25, 0.25, or other numbers; there are no specific restrictions.

[0118] In one embodiment, obtaining the final sampling frequency of the waveform recorder based on the initially preset sampling frequency of the waveform recorder's state coefficients includes:

[0119] ,

[0120] In the formula, The final sampling frequency of the waveform recorder. The initial preset sampling frequency for the waveform recorder. represents the state coefficient of the waveform recorder.

[0121] It should be noted that the initial preset sampling frequency of the waveform recorder is set by professionals based on the actual situation, and no specific limitations or details are provided.

[0122] It should be noted that the waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, and determines whether there are problems with the target power system based on the waveforms, issuing anomaly warnings. The waveform recorder continuously collects key parameters such as voltage and current from the target power system based on the final adjusted sampling frequency, generating real-time electrical waveform data. This waveform data reflects the operating status of the power system at different points in time, including voltage waveforms, frequency waveforms, and current waveforms. The waveform recorder uploads this data to the monitoring system via a high-speed data transmission channel. The monitoring system uses specific algorithms to perform real-time analysis of the waveform data, judging multiple indicators such as waveform stability, frequency deviation, and harmonic distortion to assess the health status of the target power system. During the judgment process, the monitoring system sets several threshold standards to identify abnormalities in the waveforms. For example, when voltage spikes, frequency fluctuations exceeding the normal range, or harmonic distortion increases significantly in the waveform, these may be signs of faults or anomalies in the power system, such as overload, short circuit, or equipment aging. The monitoring system will make corresponding judgments based on these abnormal characteristics, identify potential fault points, and trigger an automatic early warning mechanism to push abnormal information to maintenance personnel or the control center so that appropriate measures can be taken in time before the fault escalates.

[0123] It should be noted that by reasonably setting the sampling frequency of the waveform recorder, it is possible to ensure that the waveform recorder can capture minute fluctuations and potential abnormal signals at high frequency sampling. In this way, even some minor fault hazards can be detected in the early stages, and timely and accurate fault warnings can allow maintenance personnel to take measures quickly to diagnose and repair the problem, and prevent the fault from deteriorating further.

[0124] Based on the same inventive concept, this invention also provides an anomaly early warning device based on a waveform recorder. See also Figure 2 , Figure 2 This invention provides a framework diagram of an anomaly early warning device based on a waveform recorder, the device comprising:

[0125] Judgment Module: Obtain the key indicator values ​​of the target power system and, in conjunction with the preset key indicator values ​​corresponding to the target power system under stable operating conditions, determine whether the target power system is in a stable operating state.

[0126] State coefficient calculation module: When the target power system is not in a stable operating state, the module obtains the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system, and obtains the state coefficient of the waveform recorder based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system.

[0127] Final sampling frequency module: The final sampling frequency of the waveform recorder is obtained based on the initial preset sampling frequency of the waveform recorder and the state coefficient of the waveform recorder.

[0128] Early warning module: The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an abnormality warning.

[0129] Based on the present invention, an anomaly early warning device based on a waveform recorder can determine the appropriate sampling frequency of the waveform recorder according to the actual situation through the above method, ensuring that the waveform recorder captures minute fluctuations and potential abnormal signals under high-frequency sampling, and can detect potential fault hazards in a timely manner, ensuring that power system anomaly early warning is not missed.

[0130] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. An anomaly early warning method based on a waveform recorder, characterized in that, Includes the following steps: Obtain the key indicator values ​​of the target power system, and combine them with the preset key indicator values ​​corresponding to the target power system under stable operating conditions to determine whether the target power system is in a stable operating state; When the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system are obtained, and the state coefficient of the waveform recorder is obtained based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system. The final sampling frequency of the waveform recorder is obtained from the initial preset sampling frequency of the waveform recorder based on the state coefficient of the waveform recorder. The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an anomaly warning.

2. The anomaly early warning method based on a waveform recorder according to claim 1, characterized in that, Determining whether the target power system is in a stable operating state includes: Within a preset time period, key indicator values ​​of the target power system are continuously acquired at multiple moments as actual value sequences; corresponding preset key indicator value sequences are also acquired as preset value sequences; and the actual value sequences and preset value sequences at each moment are preprocessed. Construct a distance matrix, where each element is the distance between the actual numerical sequence data point and the corresponding preset numerical sequence data point; The shortest path in the distance matrix is ​​calculated using dynamic programming to find the best match between the actual numerical sequence and the preset numerical sequence. Align the actual numerical sequence with the preset numerical sequence based on the calculated shortest path; Calculate the similarity between the aligned actual numerical sequence and the preset numerical sequence, and compare the similarity with the preset similarity threshold. If the similarity is greater than the preset similarity threshold, it is determined that the target power system is in a stable operating state. The waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, determines whether there is a problem with the target power system, and issues an abnormal warning. If the similarity is not greater than the preset similarity threshold, the target power system is determined to be not in a stable operating state.

3. The anomaly early warning method based on a waveform recorder according to claim 1, characterized in that, The state coefficients of the waveform recorder, obtained based on its memory capacity, current value, and transmission rate to the monitoring system, include: To obtain the maximum available memory capacity and the current remaining available memory capacity of the waveform recorder, calculate the waveform recorder's memory utilization rate using the following formula: In the formula, For memory usage, and These are the maximum available memory capacity of the waveform recorder and the current remaining available memory capacity of the waveform recorder, respectively. Continuously acquire the memory usage rate of the waveform recorder within the most recent preset period to obtain a memory usage rate sequence; Calculate the standard deviation of the memory usage rate sequence. The formula for calculating the memory stability factor is as follows: In the formula, This refers to the memory stability factor. Based on memory usage and memory stability coefficient The memory space coefficient of the waveform recorder is calculated using the following formula: In the formula, This is the memory space coefficient. and These are preset weight values, and and All are greater than 0; The state coefficient of the waveform recorder is obtained based on the waveform recorder's memory space coefficient, current value, and transmission rate to the monitoring system.

4. The anomaly early warning method based on a waveform recorder according to claim 3, characterized in that, The state coefficients of the waveform recorder, obtained based on the recorder's memory space coefficient, current value, and transmission rate to the monitoring system, include: The current value of the waveform recorder is continuously acquired at multiple times within the most recent preset period to obtain a sequence of connection current values; Calculate the standard deviation of the connection current value sequence and use the standard deviation of the connection current value sequence as the current fluctuation value; Each value in the current value sequence is compared with a preset minimum current value threshold, and values ​​less than the preset minimum current value threshold are recorded as low current values. Divide the total number of low current values ​​in the connection current value sequence by the total number of values ​​in the connection current value sequence to obtain the current non-compliance value; The current fluctuation value and the current non-compliance value are normalized, and the current stability coefficient is obtained based on the normalized current fluctuation value and the current non-compliance value. The calculation formula is as follows: In the formula, The current stability coefficient, and These are the normalized current fluctuation value and the current non-compliance value, respectively. and These are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current non-compliance value, respectively. and All are greater than 0; The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and transmission rate to the monitoring system.

5. The anomaly early warning method based on a waveform recorder according to claim 4, characterized in that, The state coefficients of the waveform recorder, obtained based on its memory space coefficient, current stability coefficient, and transmission rate to the monitoring system, include: The state coefficients of the waveform recorder are obtained based on the recorder's memory space coefficient, current stability coefficient, and data transmission rate coefficient. The data transmission rate coefficient includes: The transmission rate of the waveform recorder uploaded to the monitoring system in the most recent preset period is continuously acquired at multiple time points to obtain a data transmission rate sequence. Calculate the average value of the data transmission rate sequence. Standard deviation and the first quartile and the third and fourth quartiles The calculation steps are as follows: Let the number of data points in the data transmission rate sequence be... Calculate the position of the first quartile. : ;like For integers, the first quartile The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points; like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, For data transmission rate sequence, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to the sequential data points.

6. The anomaly early warning method based on a waveform recorder according to claim 5, characterized in that, The data transmission rate coefficient also includes: Calculate the third quartile Location : ;like For integers, the third and fourth quartiles The value is the first in the data transmission rate sequence. The numerical values ​​corresponding to sequential data points; like If not an integer, The numerical value is split into ,in, for The positive integer part of the value. for The decimal part of the value, The value is: In the formula, Represents the data transmission rate sequence of the th The numerical values ​​corresponding to each sequential data point. Indicates the first The numerical values ​​corresponding to each sequential data point; Calculate the interquartile range of the data transmission rate sequence The calculation formula is: ; The formula for calculating the data transmission rate coefficient of the waveform recorder is as follows: In the formula, This is the data transmission rate coefficient.

7. The anomaly early warning method based on a waveform recorder according to claim 6, characterized in that, The state coefficients of the waveform recorder, derived from its memory space coefficient, current stability coefficient, and data transmission rate coefficient, include: The memory space coefficient, current stability coefficient, and data transmission rate coefficient are normalized, and the state coefficient of the waveform recorder is obtained based on the normalized memory space coefficient, current stability coefficient, and data transmission rate coefficient. The calculation formula is as follows: ， In the formula, The state coefficients of the waveform recorder These represent the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. These are the preset proportional coefficients for the normalized memory space coefficient, current stability coefficient, and data transfer rate coefficient, respectively. All are greater than 0.

8. The anomaly early warning method based on a waveform recorder according to claim 1, characterized in that, The final sampling frequency of the waveform recorder is obtained from the initial preset sampling frequency of the waveform recorder based on the state coefficients of the waveform recorder, including: ， In the formula, The final sampling frequency of the waveform recorder. The initial preset sampling frequency for the waveform recorder. represents the state coefficient of the waveform recorder.

9. An anomaly early warning device based on a waveform recorder, characterized in that, The device includes: a judgment module: which acquires the key indicator values ​​of the target power system and, in conjunction with the preset key indicator values ​​corresponding to the target power system under stable operating conditions, judges whether the target power system is in a stable operating state. State coefficient calculation module: When the target power system is not in a stable operating state, the module obtains the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system, and obtains the state coefficient of the waveform recorder based on the memory capacity, current value and transmission rate of the waveform recorder to the monitoring system. Final sampling frequency module: The final sampling frequency of the waveform recorder is obtained based on the initial preset sampling frequency of the waveform recorder and the state coefficient of the waveform recorder. Early warning module: The waveform recorder collects data from the target power system based on the final sampling frequency, generates corresponding waveforms, determines whether there are problems with the target power system based on the waveforms, and issues an abnormality warning.

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