Abnormality early warning method and device based on oscillograph

Abstract

The invention discloses an abnormality early warning method and device based on an oscillograph, and relates to the technical field of electric power detection. Whether a target electric power system is in a stable operation state or not is judged by obtaining a key index value of the target electric power system; when the target power system is not in the stable operation state, the memory capacity and the current value of the oscillograph and the transmission rate uploaded to the monitoring system are obtained to obtain a state coefficient, and the final sampling frequency of the oscillograph is obtained by combining the initial preset sampling frequency of the oscillograph; the oscillograph collects data of the target electric power system according to the final sampling frequency, whether the target electric power system has a problem or not is judged, and abnormal early warning is sent out, so that the appropriate sampling frequency of the oscillograph can be determined according to the actual situation, it is ensured that the oscillograph captures tiny fluctuation and potential abnormal signals under high-frequency sampling, and the accuracy of the abnormal signals is improved. Potential fault hidden dangers can be detected in time, and it is ensured that abnormal early warning of the power system is not lost.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power detection, and in particular to an abnormality early warning method and device based on a wave recorder. Background Art

[0002] The abnormal warning method based on the recorder is mainly used for fault detection and early warning in the power system. The recorder is a device that can monitor and record the waveform of electrical signals in real time. It can capture the waveform changes of current, voltage and other signals in the power system, and judge whether there is an abnormality by analyzing these signals. If there is an abnormality, it is judged that the corresponding power system is abnormal, and an early warning is issued to remind the corresponding staff to carry out maintenance in time to ensure the normal operation of the power system;

[0003] Among them, when the fault detection and early warning of the power system are carried out through the recorder, the sampling frequency of the power system data by the recorder is related to the accuracy of the fault detection of the power system. If the appropriate sampling frequency of the recorder cannot be determined according to the actual situation, it may be difficult to detect potential fault hazards in time, resulting in the lack of abnormal early warning of the power system. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and to provide an abnormal warning method and device based on a recorder.

[0005] In a first aspect of the present invention, a method for abnormal warning based on an oscilloscope is first proposed, the method comprising:

[0006] Obtaining key indicator values ​​of the target power system, and judging whether the target power system is in a stable operating state in combination with preset key indicator values ​​corresponding to the target power system 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 recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system;

[0008] The final sampling frequency of the oscilloscope is obtained according to the sampling frequency initially preset by the oscilloscope of the state coefficient of the oscilloscope;

[0009] The recorder collects data of the target power system according to the final sampling frequency and generates a corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

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

[0011] Within a preset time period, continuously obtain the key indicator values ​​of the target power system at multiple moments as an actual value sequence; and obtain the corresponding preset key indicator value sequence as a preset value sequence; and pre-process the actual value sequence and the preset value sequence at each moment;

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

[0013] A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the actual numerical sequence and the preset numerical sequence;

[0014] According to the calculated shortest path, the actual numerical sequence and the preset numerical sequence are aligned;

[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, the target power system is judged to be in a stable operating state, and the waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, and judges 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, it is determined that the target power system is not in a stable operating state.

[0018] Optionally, the state coefficient of the recorder is obtained according to the memory capacity of the recorder, the current value and the transmission rate uploaded to the monitoring system, including:

[0019] Get the maximum available memory capacity of the recorder and the current remaining available memory capacity of the recorder, and calculate the memory usage of the recorder. The calculation formula is: U M =M t -M a / M t , where U M is the memory usage, M t and M a They are the maximum available memory capacity of the recorder and the currently remaining available memory capacity of the recorder respectively;

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

[0021] Calculate the standard deviation σM of the memory usage rate series and the memory stability coefficient. The calculation formula is: In the formula, S M is the memory stability coefficient;

[0022] According to the memory usage U M and memory stability factor S M The memory space coefficient of the recorder is calculated using the formula: Dzx = a1 × (1-U M )+a2×S M , where Dzx is the memory space coefficient, a1 and a2 are preset weight values, and both a1 and a2 are greater than 0;

[0023] The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current value and the transmission rate uploaded to the monitoring system.

[0024] Optionally, the state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current value and the transmission rate uploaded to the monitoring system, including:

[0025] Continuously obtain the current value of the recorder within the latest preset period at multiple moments to obtain a connection current value sequence;

[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] Compare each value in the connection current value sequence with a preset minimum current value threshold, and record a value less than the preset minimum current value threshold as a low current value;

[0028] The total number of low current values ​​in the connection current value sequence is divided by the number of all values ​​in the connection current value sequence to obtain the current unqualified value;

[0029] The current fluctuation value and the current unqualified value are normalized, and the current stability coefficient is obtained according to the normalized current fluctuation value and the current unqualified value. The calculation formula is: Bax=2(b1+b2) / b1×wd+b2×gh, where Bax is the current stability coefficient, wd and gh are the normalized current fluctuation value and the current unqualified value, respectively, b1 and b2 are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current unqualified value, respectively, and b1 and b2 are both greater than 0;

[0030] The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current stability coefficient and the transmission rate uploaded to the monitoring system.

[0031] Optionally, the state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current stability coefficient and the transmission rate uploaded to the monitoring system, including:

[0032] The state coefficient of the recorder is obtained according to the memory space coefficient, current stability coefficient and data transmission rate coefficient of the recorder, wherein the data transmission rate coefficient includes:

[0033] Continuously obtain the transmission rate of the recorder uploaded to the monitoring system based on the time sequence within the latest preset period at multiple moments to obtain a data transmission rate sequence;

[0034] Calculate the mean value Wf, standard deviation Ea, first quartile Q1 and third quartile Q3 of the data transmission rate series. The calculation steps are:

[0035] Assume that the number of data points in the data transmission rate series is n, and calculate the position of the first quartile PQ1: If PQ1 is an integer, the value of the first quartile Q1 is the value corresponding to the data point of the PQ1th order in the data transmission rate sequence;

[0036] If PQ1 is not an integer, split the value of PQ1 into k+r, where k is the positive integer part of the value of PQ1 and r is the decimal part of the value of PQ1. The value of Q1 is: Q1=D[k]+r×(D[k]-D[k-1]), where D is the data transmission rate sequence, D[k] represents the value corresponding to the k-th data point in the data transmission rate sequence, and D[k-1] represents the value corresponding to the k-1th data point.

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

[0038] Calculate the position PQ3 of the third quartile Q3: If PQ3 is an integer, the value of the third quartile Q3 is the value corresponding to the data point of the PQ3th order in the data transmission rate sequence;

[0039] If PQ3 is not an integer, the value of PQ3 is split into g+t, where g is the positive integer part of the value of PQ3, and t is the decimal part of the value of PQ3. The value of Q3 is: Q1=D[g]+t×(D[g]-D[g-1]), where D[g] represents the value corresponding to the g-th data point in the data transmission rate sequence, and D[g-1] represents the value corresponding to the g-1th data point.

[0040] Calculate the interquartile range IQR of the data transmission rate series. The calculation formula is: IQR = Q3-Q1;

[0041] Calculate the data transmission rate coefficient of the recorder. The calculation formula is: Where Pn is the data transmission rate coefficient.

[0042] Optionally, the state coefficient of the recorder is obtained according to the memory space coefficient, the current stability coefficient and the data transmission rate coefficient of the recorder, including:

[0043] The memory space coefficient, current stability coefficient and data transmission rate coefficient are normalized, and the state coefficient of the recorder is obtained according to the normalized memory space coefficient, current stability coefficient and data transmission rate coefficient. The calculation formula is:

[0044]

[0045] Wherein, Ycv is the state coefficient of the recorder, Dzx, Bax, and Pn are respectively the memory space coefficient after normalization, the current stability coefficient, and the data transmission rate coefficient, f1, f2, and f3 are respectively the preset proportional coefficients of the memory space coefficient, the current stability coefficient, and the data transmission rate coefficient after normalization, and f1, f2, and f3 are all greater than 0.

[0046] Optionally, obtaining the final sampling frequency of the oscilloscope according to the sampling frequency initially preset by the oscilloscope of the state coefficient of the oscilloscope comprises:

[0047] Wh=yh×(1+HJU)

[0048] Where Wh is the final sampling frequency of the recorder, yh is the sampling frequency initially preset by the recorder, and HJU is the state coefficient of the recorder.

[0049] In a second aspect of the present invention, an abnormal warning device based on a wave recorder is provided, comprising:

[0050] Judgment module: obtains the key indicator values ​​of the target power system, and judges whether the target power system is in a stable operation state in combination with the preset key indicator values ​​corresponding to the target power system in a stable operation state;

[0051] State coefficient calculation module: when the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system;

[0052] Final sampling frequency module: obtains the final sampling frequency of the recorder according to the sampling frequency initially preset by the recorder according to the state coefficient of the recorder;

[0053] Early warning module: The recorder collects data of the target power system according to the final sampling frequency and generates the corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

[0054] Beneficial effects of the present invention:

[0055] The present invention proposes an abnormal warning method and device based on a recorder, which obtains the key indicator values ​​of the target power system and judges whether the target power system is in a stable operating state in combination with the preset key indicator values ​​corresponding to the target power system in a stable operating state; and when the target power system is not in a stable operating state, obtains the memory capacity of the recorder, the current value and the transmission rate uploaded to the monitoring system to obtain the state coefficient; and obtains the final sampling frequency of the recorder according to the sampling frequency initially preset by the recorder of the state coefficient of the recorder; the recorder collects data of the target power system according to the final sampling frequency, generates a corresponding waveform, and judges whether there is a problem with the target power system according to the waveform, and issues an abnormal warning. In this way, the appropriate sampling frequency of the recorder can be determined according to the actual situation, ensuring that the recorder can capture tiny fluctuations and potential abnormal signals under high-frequency sampling, and can detect potential fault hazards in time, ensuring that the abnormal warning of the power system will not be missed. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] Figure 1 It is a flow chart of an abnormal warning method based on a wave recorder;

[0058] Figure 2 The figure is a framework diagram of an abnormal warning device based on a wave recorder. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the present invention.

[0061] The embodiment of the present invention provides an abnormal warning method based on a wave recorder. Figure 1 , Figure 1 A flowchart of an abnormal warning method based on a wave recorder is provided in an embodiment of the present invention. The method comprises the following steps:

[0062] Obtaining key indicator values ​​of the target power system, and judging whether the target power system is in a stable operating state in combination with preset key indicator values ​​corresponding to the target power system 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 recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system;

[0064] The final sampling frequency of the oscilloscope is obtained according to the sampling frequency initially preset by the oscilloscope of the state coefficient of the oscilloscope;

[0065] The recorder collects data of the target power system according to the final sampling frequency and generates a corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

[0066] Based on an abnormal warning method based on a recorder provided in an embodiment of the present invention, through the above method, the appropriate sampling frequency of the recorder can be determined according to the actual situation, ensuring that the recorder can capture tiny fluctuations and potential abnormal signals under high-frequency sampling, and can detect potential fault hazards in time, ensuring that the abnormal warning of the power system will not be missed.

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

[0068] Within a preset time period, continuously obtain the key indicator values ​​of the target power system at multiple moments as an actual value sequence; and obtain the corresponding preset key indicator value sequence as a preset value sequence; and pre-process the actual value sequence and the preset value sequence at each moment;

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

[0070] A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the actual numerical sequence and the preset numerical sequence;

[0071] According to the calculated shortest path, the actual numerical sequence and the preset numerical sequence are aligned;

[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, the target power system is judged to be in a stable operating state, and the waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, and judges 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, it is determined that the target power system is 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 limitation 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 limitation 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 smooth operation of the target power system, such as phase angle, power factor, harmonic distortion, power quality, temperature, etc. The determination of specific key indicators can be determined by professional personnel based on actual conditions, and no specific limitations or elaboration will be made.

[0077] It should be noted that the preset key indicator numerical sequence is set by professionals based on actual conditions. For example, professionals can refer to historical data of the target power system in stable operation, or other methods can be used. The specific setting depends on the actual situation and no specific limitations or elaborations are made.

[0078] It should be noted that by dynamically aligning the actual and preset key indicators 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, the sampling frequency can be adjusted to more accurately capture potential abnormal signals and enhance the early warning capability of the power system;

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

[0080] In one embodiment, the state coefficient of the recorder is obtained according to the memory capacity of the recorder, the current value and the transmission rate uploaded to the monitoring system, including:

[0081] Get the maximum available memory capacity of the recorder and the current remaining available memory capacity of the recorder, and calculate the memory usage of the recorder. The calculation formula is: U M =M t -M a / M t , where U M is the memory usage, M t and Ma They are the maximum available memory capacity of the recorder and the currently remaining available memory capacity of the recorder respectively;

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

[0083] Calculate the standard deviation σM of the memory usage rate series and the memory stability coefficient. The calculation formula is: In the formula, S M is the memory stability coefficient;

[0084] According to the memory usage U M and memory stability factor S M The memory space coefficient of the recorder is calculated using the formula: Dzx = a1 × (1-U M )+a2×S M , where Dzx is the memory space coefficient, a1 and a2 are preset weight values, and both a1 and a2 are greater than 0;

[0085] The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current value and the transmission rate uploaded to the monitoring system.

[0086] It should be noted that a1 and a2 are set by professionals according to actual conditions. Generally, the sum of a1 and a2 is 1. For example, a1 and a2 can be 0.5 and 0.5 respectively, or other numbers, which are not specifically limited.

[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, and no specific limitation or elaboration is made; in addition, the maximum available memory capacity of the recorder and the currently remaining available memory capacity of the recorder can be obtained through the system information interface inside the recorder. In addition, the memory usage rate data within the most recent preset period can be recorded by the timing inside the recorder to construct a memory usage rate sequence, and then its standard deviation can be calculated through statistical analysis;

[0088] It should be noted that when the memory usage rate of the recorder is smaller and the memory stability coefficient is larger, that is, the memory space coefficient is larger, the state of the recorder is better, and the corresponding adjusted sampling frequency of the recorder is larger, because there are more resources to allocate when processing high-frequency data acquisition tasks, which reduces the risk of data loss or sampling interruption caused by insufficient memory. Therefore, when the memory usage rate is low, the sampling frequency can be appropriately increased so that the recorder can capture more detailed information, improve the accuracy of data acquisition and the reliability of fault detection; at the same time, the larger the memory stability coefficient, the more stable the memory usage rate of the recorder is in the recent period, without frequent fluctuations and drastic changes. This means that the use of memory resources is stable and controllable, and the recorder can better handle the task of collecting large amounts of data; in this case, increasing the sampling frequency will not cause a decrease in performance due to the instability of the memory usage rate, so the sampling frequency of the recorder can be dynamically adjusted when the power system fluctuates or the detection accuracy is required to be higher.

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

[0090] Continuously obtain the current value of the recorder within the latest preset period at multiple moments to obtain a connection current value sequence;

[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] Compare each value in the connection current value sequence with a preset minimum current value threshold, and record a value less than the preset minimum current value threshold as a low current value;

[0093] The total number of low current values ​​in the connection current value sequence is divided by the number of all values ​​in the connection current value sequence to obtain the current unqualified value;

[0094] The current fluctuation value and the current unqualified value are normalized, and the current stability coefficient is obtained according to the normalized current fluctuation value and the current unqualified value. The calculation formula is: Bax=2(b1+b2) / b1×wd+b2×gh, where Bax is the current stability coefficient, wd and gh are the normalized current fluctuation value and the current unqualified value, respectively, b1 and b2 are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current unqualified value, respectively, and b1 and b2 are both greater than 0;

[0095] The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current stability coefficient and the transmission rate uploaded to the monitoring system.

[0096] It should be noted that b1 and b2 are set by professionals according to actual conditions. Generally, the sum of b1 and b2 is 1. For example, b1 and b2 can be 0.65, 0.35, or other numbers, without specific limitation.

[0097] It should be noted that the preset minimum current value threshold is set by professionals based on actual conditions, and is not specifically limited or elaborated on; in addition, the current value of the recorder can be obtained by a current sensor installed at the power input end of the recorder, or by other acquisition methods, which are not specifically limited.

[0098] It should be noted that when the current fluctuation value is smaller and the current unqualified value is smaller, that is, the current stability coefficient is larger, the state of the recorder is better, and the corresponding sampling frequency of the adjusted recorder is larger, because when the current fluctuation value is smaller and the current unqualified value is smaller, it means that the current of the recorder is more stable, without significant fluctuation or intermittent phenomenon. The stability of the current directly affects the overall operation state of the recorder, because abnormal fluctuations in the current may cause unstable operation of the internal components of the recorder, and even cause errors or interruptions in the data acquisition process. Therefore, when the current stability coefficient is larger, it indicates that the current supply is stable and reliable, and the recorder can work in a good power supply state. In this case, the better the state of the recorder, the more efficient and continuous data acquisition can be performed. Therefore, the adjusted sampling frequency can be appropriately increased to capture more detailed data and improve the accuracy and response speed of fault detection. On the contrary, if the current fluctuation value is large, the current unqualified value is high, and the current stability coefficient is small, it means that the recorder is facing an unstable power supply, and the sampling frequency should be appropriately reduced to avoid distortion or omission of collected data at too high a frequency. Therefore, this positive correlation between the current stability factor and the sampling frequency can ensure that the recorder can fully exert its performance when the power supply condition is good, and can maintain normal operation when the power supply condition is poor.

[0099] In one embodiment, the state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current stability coefficient and the transmission rate uploaded to the monitoring system, including:

[0100] Continuously obtain the transmission rate of the recorder uploaded to the monitoring system based on the time sequence within the latest preset period at multiple moments to obtain a data transmission rate sequence;

[0101] Calculate the mean value Wf, standard deviation Ea, first quartile Q1 and third quartile Q3 of the data transmission rate series. The calculation steps are:

[0102] Assume that the number of data points in the data transmission rate series is n, and calculate the position of the first quartile PQ1: If PQ1 is an integer, the value of the first quartile Q1 is the value corresponding to the data point of the PQ1th order in the data transmission rate sequence;

[0103] If PQ1 is not an integer, the value of PQ1 is split into k+r, where k is the positive integer part of the value of PQ1, and r is the decimal part of the value of PQ1. The value of Q1 is: Q1=D[k]+r×(D[k]--D[k--1]), where D is the data transmission rate sequence, D[k] represents the value corresponding to the k-th data point in the data transmission rate sequence, and D[k-1] represents the value corresponding to the k-1th data point;

[0104] Calculate the position PQ3 of the third quartile Q3: If PQ3 is an integer, the value of the third quartile Q3 is the value corresponding to the data point of the PQ3th order in the data transmission rate sequence;

[0105] If PQ3 is not an integer, the value of PQ3 is split into g+t, where g is the positive integer part of the value of PQ3, and t is the decimal part of the value of PQ3. The value of Q3 is: Q1=D[g]+t×(D[g]-D[g-1]), where D[g] represents the value corresponding to the g-th data point in the data transmission rate sequence, and D[g--1] represents the value corresponding to the g-th data point;

[0106] Calculate the interquartile range IQR of the data transmission rate series. The calculation formula is: IQR = Q3-Q1;

[0107] Calculate the data transmission rate coefficient of the recorder. The calculation formula is: Where P n is the data transmission rate coefficient;

[0108] The state coefficient of the recorder is obtained according to the memory space coefficient, current stability coefficient and data transmission rate coefficient of the recorder.

[0109] It should be noted that the monitoring system usually refers to a computer or network system connected to the recorder. The system is used to monitor, collect and process the data and waveforms transmitted from the recorder in real time, and analyze and determine whether there is any abnormality in the target power system and issue an early warning. It should also be noted that the transmission rate uploaded from the recorder to the monitoring system can be obtained through the record log of the monitoring system, or other acquisition methods, which are not limited or elaborated on.

[0110] It should be noted that in the above calculation process, in general, in order to more accurately evaluate the stability of the data transmission rate of the recorder uploaded to the monitoring system, the number of data points n in the corresponding data transmission rate sequence is generally large, so the minimum value of g--1 and k--1 is guaranteed to be 1;

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

[0112] It should be noted that the larger the data transmission rate coefficient is, the better the state of the recorder is, and the larger the sampling frequency of the corresponding adjusted recorder is, because the data transmission rate coefficient reflects the stability of the recorder's ability to successfully transmit data within a certain period of time. The higher its value is, the better the integrity, timeliness and stability of the data are guaranteed during the transmission process, and the transmission efficiency is improved accordingly. A high data transmission rate means that the recorder can upload data at a faster speed, so that the monitoring system can obtain real-time information and process it more timely. Therefore, the adjusted sampling frequency should also be appropriately increased in order to make full use of this good transmission state and achieve higher frequency data collection.

[0113] In one embodiment, the state coefficient of the recorder is obtained according to the memory space coefficient, the current stability coefficient and the data transmission rate coefficient of the recorder, including:

[0114] The memory space coefficient, current stability coefficient and data transmission rate coefficient are normalized, and the state coefficient of the recorder is obtained according to the normalized memory space coefficient, current stability coefficient and data transmission rate coefficient. The calculation formula is:

[0115]

[0116] Wherein, Ycv is the state coefficient of the recorder, Dzx, Bax, and Pn are respectively the memory space coefficient after normalization, the current stability coefficient, and the data transmission rate coefficient, f1, f2, and f3 are respectively the preset proportional coefficients of the memory space coefficient, the current stability coefficient, and the data transmission rate coefficient after normalization, and f1, f2, and f3 are all greater than 0.

[0117] It should be noted that f1, f2, and f3 are set by professionals according to actual conditions. Generally, the sum of f1, f2, and f3 is 1. For example, f1, f2, and f3 can be 0.5, 0.25, and 0.25, respectively, or other numbers, without specific limitation.

[0118] In one embodiment, obtaining the final sampling frequency of the oscilloscope according to the sampling frequency initially preset by the oscilloscope of the state coefficient of the oscilloscope comprises:

[0119] Wh=yh×(1+HJU)

[0120] Where Wh is the final sampling frequency of the recorder, yh is the sampling frequency initially preset by the recorder, and HJU is the state coefficient of the recorder.

[0121] It should be noted that the sampling frequency initially preset in the recorder is set by professionals according to actual conditions, and no specific limitation or elaboration is made thereon.

[0122] It should be noted that the recorder collects data from the target power system according to the final sampling frequency, generates the corresponding waveform, and judges whether there is a problem with the target power system based on the waveform, and issues an abnormal warning; the recorder continuously collects key parameters such as voltage and current from the target power system according to the final adjusted sampling frequency, and generates real-time electrical waveform data. These waveform data can reflect the operating status of the power system at different time points, including voltage waveform, frequency waveform, current waveform, etc. The recorder uploads this data to the monitoring system through a high-speed data transmission channel. The monitoring system analyzes the waveform data in real time through a specific algorithm, and judges multiple indicators such as waveform stability, frequency deviation, harmonic distortion, etc., to evaluate the health status of the target power system; during the judgment process, the monitoring system will set several threshold standards to identify abnormal conditions in the waveform. For example, when there is a sudden voltage change in the waveform, the frequency fluctuates beyond the normal range, or the harmonic distortion increases significantly, these may be signs of a fault or abnormality in the power system, such as overload, short circuit, equipment aging, etc.; 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 the abnormal information to maintenance personnel or the control center so that appropriate treatment measures can be taken in time before the fault expands.

[0123] It should be noted that by reasonably setting the sampling frequency of the recorder, it can be ensured that the recorder can capture tiny fluctuations and potential abnormal signals under high-frequency sampling. In this way, even some relatively subtle fault hazards can be detected at an early stage. Timely and accurate fault warnings can allow maintenance personnel to take quick measures to diagnose and repair the problem and avoid further deterioration of the fault.

[0124] Based on the same inventive concept, the embodiment of the present invention also provides an abnormal warning device based on a wave recorder. Figure 2 , Figure 2 A framework diagram of an abnormal warning device based on a wave recorder provided in an embodiment of the present invention, the device comprising:

[0125] Judgment module: obtains the key indicator values ​​of the target power system, and judges whether the target power system is in a stable operation state in combination with the preset key indicator values ​​corresponding to the target power system in a stable operation state;

[0126] State coefficient calculation module: when the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system;

[0127] Final sampling frequency module: obtains the final sampling frequency of the recorder according to the sampling frequency initially preset by the recorder according to the state coefficient of the recorder;

[0128] Early warning module: The recorder collects data of the target power system according to the final sampling frequency and generates the corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

[0129] Based on an abnormal warning device based on a recorder provided in an embodiment of the present invention, through the above method, the appropriate sampling frequency of the recorder can be determined according to the actual situation, ensuring that the recorder can capture tiny fluctuations and potential abnormal signals under high-frequency sampling, and can detect potential fault hazards in time, ensuring that the abnormal warning of the power system will not be missed.

[0130] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An abnormal early warning method based on an oscilloscope, It is characterized in that The following steps are involved: Obtaining key indicator values ​​of the target power system, and judging whether the target power system is in a stable operating state in combination with preset key indicator values ​​corresponding to the target power system 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 recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system; The final sampling frequency of the oscilloscope is obtained according to the sampling frequency initially preset by the oscilloscope of the state coefficient of the oscilloscope; The recorder collects data of the target power system according to the final sampling frequency and generates a corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

2. According to claim 1, an abnormal warning method based on a wave recorder, It is characterized in that Judging whether the target power system is in a stable operating state includes: In a preset time period, continuously obtain the key indicator values ​​of the target power system at multiple moments as an actual value sequence; and obtain the corresponding preset key indicator value sequence as a preset value sequence; and pre-process the actual value sequence and the preset value sequence at each moment; Construct a distance matrix, in which each element is the distance between the actual numerical sequence data point and the corresponding preset numerical sequence data point; A dynamic programming algorithm is used to calculate the shortest path in the distance matrix to find the best match between the actual numerical sequence and the preset numerical sequence; According to the calculated shortest path, the actual numerical sequence and the preset numerical sequence are aligned; 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, the target power system is judged to be in a stable operating state, and the waveform recorder collects data from the target power system according to the initially preset sampling frequency, observes the corresponding waveform, and judges 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, it is determined that the target power system is not in a stable operating state.

3. The abnormal warning method based on the wave recorder according to claim 1, It is characterized in that The state coefficients of the recorder are obtained based on the memory capacity of the recorder, the current value and the transmission rate uploaded to the monitoring system, including: Get the maximum available memory capacity of the recorder and the current remaining available memory capacity of the recorder, and calculate the memory usage of the recorder. The calculation formula is: U M =M t -M a / M t , where U M is the memory usage, M t and M a They are the maximum available memory capacity of the recorder and the currently remaining available memory capacity of the recorder respectively; Continuously obtain the memory usage rate of the recorder in the most recent preset period to obtain a memory usage rate sequence; Calculate the standard deviation σM of the memory usage rate series and the memory stability coefficient. The calculation formula is: In the formula, S M is the memory stability coefficient; According to the memory usage U M and memory stability factor S M The memory space coefficient of the recorder is calculated using the formula: Dzx = a1 × (1-U M )+a2×S M , where Dzx is the memory space coefficient, a1 and a2 are preset weight values, and both a1 and a2 are greater than 0; The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current value and the transmission rate uploaded to the monitoring system.

4. The abnormal warning method based on the wave recorder according to claim 3, It is characterized in that The state coefficients of the recorder are obtained based on the memory space coefficient of the recorder, the current value and the transmission rate uploaded to the monitoring system, including: Continuously obtain the current value of the recorder within the latest preset period at multiple moments to obtain a connection current value sequence; 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; Compare each value in the connection current value sequence with a preset minimum current value threshold, and record a value less than the preset minimum current value threshold as a low current value; The total number of low current values ​​in the connection current value sequence is divided by the number of all values ​​in the connection current value sequence to obtain the current unqualified value; The current fluctuation value and the current unqualified value are normalized, and the current stability coefficient is obtained according to the normalized current fluctuation value and the current unqualified value. The calculation formula is: Bax=2(b1+b2) / b1×wd+b2×gh, where Bax is the current stability coefficient, Wd and gh are the normalized current fluctuation value and the current unqualified value, respectively, b1 and b2 are the preset proportional coefficients corresponding to the normalized current fluctuation value and the current unqualified value, respectively, and b1 and b2 are both greater than 0; The state coefficient of the recorder is obtained according to the memory space coefficient of the recorder, the current stability coefficient and the transmission rate uploaded to the monitoring system.

5. The abnormal warning method based on the wave recorder according to claim 4, It is characterized in that The state coefficients of the recorder are obtained based on the memory space coefficient, current stability coefficient and the transmission rate uploaded to the monitoring system: The state coefficient of the recorder is obtained according to the memory space coefficient, current stability coefficient and data transmission rate coefficient of the recorder, wherein the data transmission rate coefficient includes: Continuously obtain the transmission rate of the recorder uploaded to the monitoring system based on the time sequence within the latest preset period at multiple moments to obtain a data transmission rate sequence; Calculate the mean Wf, standard deviation Ea and first quartile Q of the data transmission rate series 1 and the third quartile Q 3 , the calculation steps are: Assume that the number of data points in the data transmission rate series is n, and calculate the position of the first quartile PQ1: If PQ1 is an integer, the first quartile Q 1 The value of is the value corresponding to the data point of the PQ1th order in the data transmission rate sequence; If PQ1 is not an integer, split the value of PQ1 into k+r, where k is the positive integer part of the value of PQ1 and r is the decimal part of the value of PQ1. 1 The value of Q 1 =D[k]+r×D[k]-D[k-1]), where D is the data transmission rate sequence, D[k] represents the value corresponding to the k-th data point in the data transmission rate sequence, and D[k-1] represents the value corresponding to the k-1-th data point.

6. The abnormal warning method based on the wave recorder according to claim 5, It is characterized in that The data transmission rate coefficient also includes: Calculate the third quartile Q 3 Position PQ3: If PQ3 is an integer, the third quartile Q 3 The value of is the value corresponding to the data point of the PQ3th order in the data transmission rate sequence; If PQ3 is not an integer, split the value of PQ3 into g+t, where g is the positive integer part of the value of PQ3, t is the decimal part of the value of PQ3, and Q 3 The value of Q 1 =D[g]+t×D[g]-D[g-1]), where D[g] represents the value corresponding to the g-th data point in the data transmission rate sequence, and D[g-1] represents the value corresponding to the g-1th data point; Calculate the interquartile range IQR of the data transmission rate series. The calculation formula is: IQR = Q 3 -Q 1 ; Calculate the data transmission rate coefficient of the recorder. The calculation formula is: Where Pn is the data transmission rate coefficient.

7. The abnormal warning method based on the wave recorder according to claim 5, It is characterized in that The state coefficients of the recorder are obtained according to the memory space coefficient, current stability coefficient and data transmission rate coefficient of the recorder, including: The memory space coefficient, current stability coefficient and data transmission rate coefficient are normalized, and the state coefficient of the recorder is obtained according to the normalized memory space coefficient, current stability coefficient and data transmission rate coefficient. The calculation formula is: Wherein, Ycv is the state coefficient of the recorder, Dzx, Bax, and Pn are respectively the memory space coefficient after normalization, the current stability coefficient, and the data transmission rate coefficient, f1, f2, and f3 are respectively the preset proportional coefficients of the memory space coefficient, the current stability coefficient, and the data transmission rate coefficient after normalization, and f1, f2, and f3 are all greater than 0.

8. The abnormal warning method based on the wave recorder according to claim 1, It is characterized in that The final sampling frequency of the recorder is obtained by the sampling frequency initially preset by the recorder according to the state coefficient of the recorder, including: Wh=yh×(1+HJU) Where Wh is the final sampling frequency of the recorder, yh is the sampling frequency initially preset by the recorder, and HJU is the state coefficient of the recorder.

9. An abnormal warning device based on a wave recorder, It is characterized in that The device comprises: a judgment module: obtaining a key indicator value of a target power system, and judging whether the target power system is in a stable operation state in combination with a preset key indicator value corresponding to the target power system in a stable operation state; State coefficient calculation module: when the target power system is not in a stable operating state, the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system are obtained, and the state coefficient of the recorder is obtained according to the memory capacity, current value and transmission rate of the recorder uploaded to the monitoring system; Final sampling frequency module: obtains the final sampling frequency of the recorder according to the sampling frequency initially preset by the recorder according to the state coefficient of the recorder; Early warning module: The recorder collects data of the target power system according to the final sampling frequency and generates the corresponding waveform. It determines whether there is a problem with the target power system based on the waveform and issues an abnormal warning.

Images