Four-in-one terminal with error recognition and detection function

Abstract

The present invention relates to the technical field of circuit breakers, and in particular to a four-in-one terminal with an error identification and detection function, wherein the four-in-one terminal comprises a first acquisition module for acquiring a current voltage data sequence and a reference historical voltage data sequence; a second acquisition module for acquiring a target voltage mutation characterization value at the current monitoring moment; and a judgment module for judging whether the target voltage mutation characterization value is not greater than a preset voltage threshold, and if so, determining that the four-in-one terminal does not perform a disconnection operation, otherwise, acquiring the current load data sequence and the historical load data sequence, and obtaining a power grid abnormality probability characterization value corresponding to the current monitoring moment according to the current load data sequence and the historical load data sequence, and obtaining the action state of the four-in-one terminal at the current monitoring moment according to the power grid abnormality probability characterization value. And the present invention can avoid the behavior of malfunction of the four-in-one terminal as much as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breakers, and in particular to a four-in-one terminal with error identification and detection functions. Background Art

[0002] The four-in-one terminal with error identification and detection function is an intelligent miniature circuit breaker device that integrates multiple functional modules. The four-in-one terminal has the functions of protecting circuit and equipment safety, ensuring personnel safety, reasonably distributing electric energy and realizing remote control, and improving the stability and reliability of the power system.

[0003] And the four-in-one terminal usually collects data from the power grid through its internal data acquisition module, and then determines whether the four-in-one terminal should disconnect based on the collected data and the preset fixed threshold. That is, the current four-in-one terminal generally performs rigid control and other operations based on the preset fixed threshold, but the power grid is dynamically changing. If the four-in-one terminal still determines whether to disconnect based on the preset fixed threshold, there will be a judgment error, that is to say, the fixed threshold will cause the four-in-one terminal to malfunction. For example, the load in the power grid and the user's electricity usage habits will affect the voltage fluctuation in the power grid. If the voltage fluctuation in the power grid is caused by the rapid change of the load in the power grid or the user's electricity usage habits, then the traditional four-in-one terminal based on the preset fixed threshold The terminal may not be able to adjust and respond to these changes quickly, that is, the voltage affected by the load in the power grid or the user's electricity usage habits may be greater than the preset fixed threshold. This situation does not mean that the power grid is operating abnormally, and there is no need for the four-in-one terminal to perform a disconnection action. However, if the action of the four-in-one terminal is still controlled based on the preset fixed threshold at this time, this situation will be determined as the four-in-one terminal needs to perform a disconnection action, thereby causing the four-in-one terminal to malfunction; and because the malfunction of the four-in-one terminal will affect the normal operation of the power grid and may also cause safety hazards, how to avoid the malfunction of the four-in-one terminal as much as possible has become an urgent problem to be solved, that is, how to improve the working accuracy of the four-in-one terminal has become an urgent problem to be solved. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a four-in-one terminal with error recognition and detection functions, and the technical solution adopted is as follows: An embodiment of the present invention provides a four-in-one terminal with an error recognition and detection function, the four-in-one terminal with an error recognition and detection function includes: A first acquisition module is used to acquire a current voltage data sequence and a reference historical voltage data sequence corresponding to a current monitoring moment, wherein the data in the voltage data sequence is the voltage data in the power grid acquired by the data acquisition module in the four-in-one terminal; A second acquisition module is used to obtain the initial voltage mutation characterization value corresponding to the current monitoring moment according to the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence, obtain the fundamental content characterization value corresponding to the current monitoring moment according to the frequency domain signal of the new sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and obtain the target voltage mutation characterization value at the current monitoring moment according to the initial voltage mutation characterization value and the fundamental content characterization value; A judgment module is used to judge whether the target voltage mutation characterization value is not greater than a preset voltage threshold. If so, it is determined that the four-in-one terminal does not perform a disconnection operation. Otherwise, the current load data sequence and the historical load data sequence are obtained, and based on the current load data sequence and the historical load data sequence, the power grid abnormality probability characterization value corresponding to the current monitoring moment is obtained, and based on the power grid abnormality probability characterization value, the action state of the four-in-one terminal at the current monitoring moment is obtained.

[0005] Beneficial effect: The present invention includes a first acquisition module, which is used to acquire a current voltage data sequence and a reference historical voltage data sequence corresponding to the current monitoring moment; a second acquisition module, which is used to obtain an initial voltage mutation characterization value corresponding to the current monitoring moment according to the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence, obtain a fundamental content characterization value corresponding to the current monitoring moment according to a frequency domain signal of a new sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and obtain a target voltage mutation characterization value at the current monitoring moment according to the initial voltage mutation characterization value and the fundamental content characterization value; a judgment module, which is used to judge whether the target voltage mutation characterization value is not greater than a preset voltage threshold, and if so, it is determined that the four-in-one terminal does not perform a disconnection operation, otherwise, the current load data sequence and the historical load data sequence are acquired, and the power grid abnormality probability characterization value corresponding to the current monitoring moment is obtained according to the current load data sequence and the historical load data sequence, and the action state of the four-in-one terminal at the current monitoring moment is acquired according to the power grid abnormality probability characterization value. Moreover, the present invention can avoid malfunction of the four-in-one terminal as much as possible based on the obtained power grid anomaly probability characterization value, that is, the action state of the four-in-one terminal can be determined more accurately based on the obtained power grid anomaly probability characterization value. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0007] Figure 1 The present invention is a structural block diagram of a four-in-one terminal with error recognition and detection functions. DETAILED DESCRIPTION

[0008] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the embodiments of the present invention.

[0009] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0010] This embodiment provides a four-in-one terminal with error recognition and detection functions, which is described in detail as follows: like Figure 1 As shown, this embodiment provides a four-in-one terminal with an error recognition and detection function, including: The first acquisition module 01 is used to acquire a current voltage data sequence and a reference historical voltage data sequence corresponding to a current monitoring moment.

[0011] The main purpose of this embodiment is to avoid the malfunction of the four-in-one terminal or to improve the working accuracy of the four-in-one terminal; and this embodiment is carefully analyzed by taking any four-in-one terminal as an example, that is, all the four-in-one terminals that appear later in this embodiment are the same four-in-one terminal, and the power grid in this embodiment is the power grid including the four-in-one terminal, and also refers to the power grid connected to the four-in-one terminal, that is, the power grid in this embodiment is the power grid monitored by the four-in-one terminal; and the four-in-one terminal includes a data acquisition module and a communication module, that is, the new intelligent circuit breaker device includes a data acquisition module, and the data acquisition module can collect voltage data in the power grid, and then send the collected voltage data to the remote control terminal system through its built-in communication module, and the remote terminal control system will analyze the data and send relevant instructions to the circuit breaker based on the results of the data analysis to control the opening and closing action of the circuit breaker; It should be noted that this embodiment mainly avoids malfunction and missed action of the four-in-one terminal as much as possible by changing the data analysis process, and the existing data analysis only refers to judging whether the data received by the remote control terminal system is greater than a preset fixed threshold.

[0012] In order to avoid malfunction and missed action of the four-in-one terminal, the present embodiment needs to first obtain the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment, and the current voltage data sequence and the reference historical voltage data sequence are mainly used to obtain the target voltage mutation characterization value, and the target voltage mutation characterization value is an important parameter to avoid malfunction and missed action of the four-in-one terminal. Therefore, in the present embodiment, the specific process of obtaining the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment is as follows: First, obtain the preset first historical monitoring moment and the preset second historical monitoring moment. In specific applications, the implementer needs to determine the preset first historical monitoring moment and the preset second historical monitoring moment according to actual conditions. For example, in this embodiment, the moment that is temporally before the current monitoring moment and 100 milliseconds away from the current moment can be used as the preset first historical monitoring moment, and the moment that is temporally before the current monitoring moment and 50 milliseconds away from the current moment can be used as the preset second historical monitoring moment.

[0013] Then the time period formed by the preset first historical monitoring moment to the preset second historical monitoring moment is recorded as the first time period, and the first time period is required to include the preset first historical monitoring moment and the preset second historical monitoring moment. The time period formed by the preset second historical monitoring moment to the current moment is recorded as the second time period, and the second time period is required not to include the preset second historical monitoring moment but to include the current monitoring moment.

[0014] Afterwards, the voltage data in the power grid collected by the data acquisition module in the four-in-one terminal at each monitoring moment in the first time period is obtained, and the time series sequence constructed by all the voltage data collected in the first time period is recorded as the reference historical voltage data sequence corresponding to the current monitoring moment; then, the voltage data in the power grid collected by the data acquisition module in the four-in-one terminal at each monitoring moment in the second time period is obtained, and the time series sequence constructed by all the voltage data collected in the second time period is recorded as the current voltage data sequence corresponding to the current monitoring moment.

[0015] In a specific application, the implementer needs to set the time interval between two adjacent monitoring moments in the above time period according to the actual situation. For example, in this embodiment, the time interval between two adjacent monitoring moments in the above time period can be set to 1 millisecond.

[0016] Therefore, this embodiment obtains the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment through the above process.

[0017] The second acquisition module 02 is used to obtain the initial voltage mutation characterization value corresponding to the current monitoring moment according to the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence, obtain the fundamental content characterization value corresponding to the current monitoring moment according to the frequency domain signal of the new sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and obtain the target voltage mutation characterization value at the current monitoring moment according to the initial voltage mutation characterization value and the fundamental content characterization value.

[0018] Since the current four-in-one terminal generally controls the action of the four-in-one terminal based on the size relationship between the preset fixed threshold and the collected data, but the power grid changes dynamically during operation, which means that the data related to the power grid also changes dynamically. This dynamic change will cause errors when the action of the four-in-one terminal is controlled based on the preset fixed threshold. In other words, the four-in-one terminal will malfunction based on the preset fixed threshold. For example, the voltage in the power grid will be affected by the load in the power grid and the user's electricity usage habits. In other words, the voltage fluctuation in the power grid will be affected by the load in the power grid and the user's electricity usage habits. If the collected voltage in the power grid is data affected by the load in the power grid and the user's electricity usage habits, and the voltage data fluctuates greatly, then the voltage data affected by the load in the power grid or the user's electricity usage habits may be greater than the preset fixed threshold. This situation does not indicate that the power grid is operating abnormally, so it is not necessary to make the four-in-one terminal execute. Disconnection action, but if the action of the four-in-one terminal is still controlled based on the preset fixed threshold at this time, the above situation greater than the preset fixed threshold will be determined as the four-in-one terminal needs to execute the disconnection action, which will cause the four-in-one terminal to malfunction, and because the malfunction of the four-in-one terminal will affect the normal operation of the power grid and may also cause safety hazards, it is necessary to avoid the malfunction of the four-in-one terminal as much as possible, or reduce the probability of malfunction of the four-in-one terminal as much as possible. In this embodiment, the voltage mutation degree at the current monitoring moment is analyzed, that is, the target voltage mutation characterization value at the current monitoring moment is obtained by combining the influence of the load in the power grid on the voltage. On the basis of obtaining the voltage mutation degree analysis result, the abnormal probability of power grid operation is analyzed in combination with the user's electricity usage habits, that is, the power grid abnormal probability characterization value corresponding to the current monitoring moment, and finally the action state of the four-in-one terminal is determined based on the power grid abnormal probability characterization value and the target voltage mutation characterization value.

[0019] Based on the above analysis, it can be known that the present embodiment needs to first obtain the target voltage mutation characterization value at the current monitoring moment, and in obtaining the target voltage mutation characterization value, it is necessary to first obtain the initial voltage mutation characterization value and the corresponding fundamental content characterization value corresponding to the current monitoring moment, and then combine the obtained initial voltage mutation characterization value and the fundamental content characterization value to determine the target voltage mutation characterization value. Based on this, the present embodiment will first obtain the initial voltage mutation characterization value and the corresponding fundamental content characterization value corresponding to the current monitoring moment, and the specific acquisition process is as follows: First, the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence are obtained, and based on the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence, the initial voltage mutation characterization value corresponding to the current monitoring moment is obtained. The initial voltage mutation characterization value corresponding to the current monitoring moment refers to the absolute value of the difference between the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence. The larger the absolute value of the difference between the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence, the larger the initial voltage mutation characterization value is. The larger the initial voltage mutation characterization value is, the greater the variation amplitude of the voltage data in the current voltage data sequence may be, and the greater the probability of abnormal operation of the power grid.

[0020] In an actual power grid, nonlinear devices such as loads will cause certain harmonics in the power grid, and harmonics will cause voltage changes, that is, harmonics affect the waveform stability of the voltage to a certain extent or change the degree of voltage fluctuation, which will cause voltage mutations. That is, when there are harmonics in the power grid, the harmonics will affect the voltage in the power grid. If the data in the current voltage data sequence and the reference historical voltage data sequence obtained above are affected by harmonics, then it will affect the reliability or authenticity of the initial voltage mutation characterization value obtained. Therefore, this embodiment needs to analyze the fundamental wave content in the current voltage data sequence and the reference historical voltage data sequence. The amount of the fundamental wave content can indirectly reflect the amount of harmonic content in the power grid, and the initial voltage mutation characterization value is optimized based on the analysis results.

[0021] In this embodiment, if you want to obtain the fundamental content in the current voltage data sequence and the reference historical voltage data sequence, you need to first obtain the sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and record it as a new sequence, and the new sequence is the sequence obtained by splicing the current voltage data sequence and the reference historical voltage data sequence together in chronological order, and the new sequence is a time domain sequence, and then the new sequence is Fourier transformed, and the data obtained after the Fourier transform forms a signal recorded as the frequency domain signal of the new sequence, and the horizontal coordinate value of the data point on the frequency domain signal is the frequency, and the vertical coordinate value is the amplitude; then the cumulative sum of the amplitudes corresponding to all frequencies on the frequency domain signal of the new sequence is obtained, and recorded as the comprehensive amplitude, and then the ratio of the amplitude corresponding to the fundamental frequency on the frequency domain signal of the new sequence is obtained to the comprehensive amplitude, and the ratio obtained is used as the fundamental content representation value corresponding to the current monitoring moment, and the fundamental frequency refers to the lowest frequency component in the signal; and the larger the fundamental content representation value is, the smaller the harmonic content is, so when the fundamental content representation value is larger, the above-mentioned initial voltage mutation representation value is more reliable or more real.

[0022] After obtaining the initial voltage mutation characterization value and the corresponding fundamental content characterization value corresponding to the current monitoring moment, the target voltage mutation characterization value at the current monitoring moment is obtained based on the obtained initial voltage mutation characterization value and the fundamental content characterization value, and the target voltage mutation characterization value at the current monitoring moment refers to the product of the initial voltage mutation characterization value and the fundamental content characterization value, and when the target voltage mutation characterization value is larger, it indicates that the probability of abnormal operation of the power grid is greater.

[0023] Therefore, this embodiment can obtain the target voltage mutation characterization value at the current monitoring moment through the above process.

[0024] The judgment module 03 is used to judge whether the target voltage mutation characterization value is not greater than the preset voltage threshold. If so, it is determined that the four-in-one terminal does not perform the disconnection operation. Otherwise, the current load data sequence and the historical load data sequence are obtained, and based on the current load data sequence and the historical load data sequence, the power grid abnormality probability characterization value corresponding to the current monitoring moment is obtained, and based on the power grid abnormality probability characterization value, the action state of the four-in-one terminal at the current monitoring moment is obtained.

[0025] After obtaining the target voltage mutation characterization value at the current monitoring moment, it is determined whether the target voltage mutation characterization value is greater than the preset voltage threshold. If it is determined that the target voltage mutation characterization value is not greater than the preset voltage threshold, it indicates that the power grid is in a normal operating state at this time, so the four-in-one terminal at this time can maintain the current state, that is, it is determined that the four-in-one terminal at this time does not perform the disconnection operation; however, if it is determined that the target voltage mutation characterization value is greater than the preset voltage threshold, it is also necessary to analyze the power grid abnormal probability characterization value in combination with the user's power usage habits, and then determine the action state of the four-in-one terminal based on the power grid abnormal probability characterization value. If it is determined that the target voltage mutation characterization value is greater than the preset voltage threshold, it is also necessary to analyze the power grid abnormal probability characterization value in combination with the user's power usage habits. The main reason is that the user's power usage habits may also make the target voltage mutation characterization value greater than the preset voltage threshold, but this situation is not abnormal power grid operation, and the user's power usage habits have a certain regularity in time sequence, and the user's power usage habits can be reflected by the power grid load data. Therefore, this embodiment needs to analyze the power grid abnormal probability characterization value in combination with the load data, specifically: If it is judged that the target voltage mutation characterization value is greater than the preset voltage threshold, the current load data sequence and the historical load data sequence are obtained, and based on the obtained current load data sequence and the historical load data sequence, the power grid abnormality probability characterization value corresponding to the current monitoring time is obtained; and in specific applications, the implementer needs to set the preset voltage threshold according to the actual situation. For example, in this embodiment, the preset voltage threshold can be set to 40 volts.

[0026] In this embodiment, the specific method for obtaining the current load data sequence and the historical load data sequence is as follows: first, obtain the current monitoring time period and a preset number of historical monitoring time periods, and require that the time interval between the historical monitoring time period and the current monitoring time period is an integer multiple of the preset time interval, and the time length of the historical monitoring time period is consistent with the time length of the current monitoring time period; and in specific applications, the implementer needs to set the current monitoring time period, the preset number and the preset time interval according to actual conditions. For example, in this embodiment, the time period consisting of the current monitoring moment and the 2 hours before the current monitoring moment can be used as the current monitoring time period, the preset number can be set to 15, and the preset time interval can be set to 24 hours; in addition, if the historical monitoring time periods are sorted in chronological order, the time interval between the historical monitoring time periods and the current monitoring time period in the obtained sequence gradually increases, that is, if the sequence obtained by sorting the historical monitoring time periods in chronological order is recorded as the first sequence, then the time interval between the fth historical monitoring time period and the current monitoring time period in the first sequence is the product of (F-f+1) and the preset time interval, and F is the total number of historical monitoring time periods in the first sequence.

[0027] In this embodiment, the specific process of obtaining the power grid abnormality probability characterization value corresponding to the current monitoring time according to the acquired current load data sequence and historical load data sequence is as follows: First, the target voltage mutation characterization values ​​at a preset number of target historical monitoring moments are obtained, the time interval between the target historical monitoring moment and the current monitoring moment is also an integer multiple of the preset time interval, and the method for obtaining the target voltage mutation characterization value at the target historical monitoring moment is the same as the method for obtaining the target voltage mutation characterization value at the current monitoring moment, so it is not repeated here; for example, if the preset time interval is set to 24 hours, and the current monitoring moment is 9 am on Tuesday, then 9 am on the day before Tuesday here belongs to a target historical monitoring moment.

[0028] Then, similarity characterization values ​​between the current load data sequence and each historical load data sequence are obtained, and a set constructed by similarity characterization values ​​between the current load data sequence and each historical load data sequence is recorded as the first set. Then, the mean of the first set is obtained and recorded as the first mean, that is, the data in the first set are similarity characterization values, and the number of data in the first set is a preset number.

[0029] Next, among the target voltage mutation characterization values ​​at all target historical monitoring moments, the largest target voltage mutation characterization value is selected as the reference value, and the absolute value of the difference between the target voltage mutation characterization value at the current monitoring moment and the reference value is obtained. Then, an exponential function is used to negatively correlate the absolute value of the difference between the target voltage mutation characterization value at the current monitoring moment and the reference value, and the negative correlation mapping value obtained by mapping is recorded as the characteristic characterization value; then, the normalized value of the result obtained by multiplying the characteristic characterization value and the first mean value is obtained, and recorded as the power grid abnormality probability characterization value corresponding to the current monitoring moment.

[0030] In addition, the specific expression for obtaining the power grid abnormality probability characterization value corresponding to the current monitoring time is:

[0031] Wherein, G is the power grid abnormal probability characterization value corresponding to the current monitoring time, norm() is the normalization function, Y0 is the target voltage mutation characterization value at the current monitoring time, Y1 is the reference value, M is the number of similar characterization values ​​in the first set, is the mth similarity representation value in the first set; and when The smaller and When the value is larger, it indicates that the probability that the voltage fluctuation at the current moment is caused by the normal power consumption mode of the user is greater, that is, the probability that the power grid is operating normally at this time is greater. The bigger and The smaller it is, the more likely it is that the voltage fluctuation at the current moment is caused by abnormal operation of the power grid; and because when The smaller and The larger the value of G is, the larger the value of G is. Therefore, when the value of G is larger, the probability that the four-in-one terminal will not perform the disconnect operation is greater. Conversely, it indicates that the probability that the four-in-one terminal will perform the disconnect operation is greater.

[0032] In this embodiment, the process of obtaining the similarity characterization value between the current load data sequence and each historical load data sequence is as follows: for the current load data sequence and any historical load data sequence A: first obtain the DTW distance between the current load data sequence and the historical load data sequence A, and record the DTW distance as the first distance value; then obtain the cumulative sum of all load data in the current load data sequence, and record it as the first cumulative value, obtain the cumulative sum of all load data in the historical load data sequence A, and record it as the second cumulative value, and then record the absolute value of the difference between the first cumulative value and the second cumulative value as the second distance value; finally obtain the product of the first distance value and the second distance value, and use an exponential function to perform negative correlation mapping on the product of the first distance value and the second distance value, and record the mapping result as the similarity characterization value between the current load data sequence and the historical load data sequence A, and the similarity characterization value between the current load data sequence and the historical load data sequence A is , exp() is an exponential function with a constant e as the base; and when the similarity characterization value between the current load data sequence and the historical load data sequence A is larger, it indicates that the previous load data sequence is more similar to the historical load data sequence A, and it also indicates that the power consumption in the time interval corresponding to the two sequences is closer or the power consumption patterns such as the number of loads used by users are closer; in addition, the method of obtaining the DTW distance between the two sequences is a well-known technology, so it will not be described in detail in this embodiment.

[0033] Therefore, through the above process, it can be known that when it is judged that the target voltage mutation characterization value is greater than the preset voltage threshold, the power grid abnormality probability characterization value corresponding to the current monitoring time is obtained. After obtaining the power grid abnormality probability characterization value corresponding to the current monitoring time, the action state of the four integrated terminals at the current monitoring time is obtained according to the power grid abnormality probability characterization value. The specific acquisition process is: Determine whether the power grid abnormality probability characterization value corresponding to the current monitoring moment is less than the preset abnormality probability threshold. If so, determine that the four-in-one terminal performs a disconnection operation. Otherwise, determine that the four-in-one terminal at the current monitoring moment does not perform a disconnection operation, that is, the four-in-one terminal at this time maintains the current state; and in specific applications, the implementer needs to set the preset abnormality probability threshold according to the actual situation, such as it can be set to 0.4 in this embodiment.

[0034] To summarize, this embodiment includes a first acquisition module, which is used to acquire the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment; a second acquisition module, which is used to obtain the initial voltage mutation characterization value corresponding to the current monitoring moment according to the mean of the current voltage data sequence and the mean of the reference historical voltage data sequence, obtain the fundamental content characterization value corresponding to the current monitoring moment according to the frequency domain signal of the new sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and obtain the target voltage mutation characterization value at the current monitoring moment according to the initial voltage mutation characterization value and the fundamental content characterization value; a judgment module, which is used to judge whether the target voltage mutation characterization value is not greater than the preset voltage threshold value, if so, it is determined that the four-in-one terminal does not perform the disconnection operation, otherwise, the current load data sequence and the historical load data sequence are obtained, and the power grid abnormality probability characterization value corresponding to the current monitoring moment is obtained according to the current load data sequence and the historical load data sequence, and the action state of the four-in-one terminal at the current monitoring moment is obtained according to the power grid abnormality probability characterization value. Moreover, this embodiment can avoid malfunction of the four-in-one terminal as much as possible based on the obtained power grid anomaly probability characterization value, that is, the action state of the four-in-one terminal can be determined more accurately based on the obtained power grid anomaly probability characterization value.

[0035] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A four-in-one terminal with error recognition and detection function, characterized in that: The four-in-one terminal with error recognition and detection function includes: A first acquisition module is used to acquire a current voltage data sequence and a reference historical voltage data sequence corresponding to a current monitoring moment, wherein the data in the current voltage data sequence and the reference historical voltage data sequence are voltage data in the power grid collected by the data acquisition module in the four-in-one terminal; A second acquisition module is used to obtain the initial voltage mutation characterization value corresponding to the current monitoring moment according to the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence, obtain the fundamental content characterization value corresponding to the current monitoring moment according to the frequency domain signal of the new sequence composed of the current voltage data sequence and the reference historical voltage data sequence, and obtain the target voltage mutation characterization value at the current monitoring moment according to the initial voltage mutation characterization value and the fundamental content characterization value; A judgment module is used to judge whether the target voltage mutation characterization value is not greater than a preset voltage threshold. If so, it is determined that the four-in-one terminal does not perform a disconnection operation. Otherwise, the current load data sequence and the historical load data sequence are obtained, and based on the current load data sequence and the historical load data sequence, the power grid abnormality probability characterization value corresponding to the current monitoring moment is obtained, and based on the power grid abnormality probability characterization value, the action state of the four-in-one terminal at the current monitoring moment is obtained.

2. The four-in-one terminal with error recognition and detection function according to claim 1, characterized in that: The method for obtaining the current voltage data sequence and the reference historical voltage data sequence includes: Obtaining a preset first historical monitoring moment and a preset second historical monitoring moment, wherein the preset first historical monitoring moment is before the preset second historical monitoring moment in time; A time series sequence is constructed from all voltage data in the power grid collected between the preset first historical monitoring moment and the preset second historical monitoring moment, which is recorded as the reference historical voltage data sequence corresponding to the current monitoring moment; a time series sequence is constructed from all voltage data in the power grid collected between the preset second historical monitoring moment and the current monitoring moment, which is recorded as the current voltage data sequence corresponding to the current monitoring moment.

3. The four-in-one terminal with error recognition and detection function as claimed in claim 1, characterized in that: The method for obtaining the initial voltage mutation characterization value corresponding to the current monitoring moment includes: The absolute value of the difference between the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence is recorded as the initial voltage mutation characterization value corresponding to the current monitoring moment.

4. The four-in-one terminal with error recognition and detection function as claimed in claim 1, characterized in that: The method for obtaining the fundamental wave content characterization value corresponding to the current monitoring moment includes: The cumulative sum of the amplitudes corresponding to all frequencies on the frequency domain signal is recorded as the comprehensive amplitude, and the ratio of the amplitude corresponding to the fundamental frequency in the frequency domain signal to the comprehensive amplitude is recorded as the fundamental content characterization value corresponding to the current monitoring moment.

5. The four-in-one terminal with error recognition and detection function as claimed in claim 1, characterized in that: The target voltage mutation characterization value at the current monitoring moment refers to the product of the initial voltage mutation characterization value and the fundamental wave content characterization value.

6. The four-in-one terminal with error recognition and detection function according to claim 1, characterized in that: The method for obtaining the current load data sequence and the historical load data sequence comprises: Obtain a current monitoring time period and a preset number of historical monitoring time periods, where the time interval between the historical monitoring time period and the current monitoring time period is an integer multiple of the preset time interval, and the current monitoring time period includes the current monitoring time; The time series consisting of all power grid load data collected in the current monitoring time period is recorded as the current load data sequence; the time series consisting of all power grid load data collected in the historical monitoring time period is recorded as the historical load data sequence.

7. The four-in-one terminal with error recognition and detection function according to claim 1, characterized in that: The method for obtaining the power grid abnormality probability characterization value corresponding to the current monitoring moment includes: Obtain target voltage mutation characterization values ​​at a preset number of target historical monitoring moments, where the time interval between the target historical monitoring moment and the current monitoring moment is an integer multiple of the preset time interval, and the method for obtaining the target voltage mutation characterization values ​​at the target historical monitoring moments is the same as the method for obtaining the target voltage mutation characterization values ​​at the current monitoring moment; Obtaining a similarity characterization value between the current load data sequence and each historical load data sequence, and recording a set constructed by the similarity characterization values ​​between the current load data sequence and each historical load data sequence as a first set; recording a mean value of the first set as a first mean value; Among the target voltage mutation characterization values ​​at all target historical monitoring moments, the largest target voltage mutation characterization value is selected as the reference value; the negative correlation mapping value of the absolute value of the difference between the target voltage mutation characterization value at the current monitoring moment and the reference value is recorded as the characteristic characterization value; the normalized value of the result obtained by multiplying the characteristic characterization value by the first mean value is recorded as the power grid abnormality probability characterization value corresponding to the current monitoring moment.

8. The four-in-one terminal with error recognition and detection function as claimed in claim 7, characterized in that: The method for obtaining the similarity characterization value between the current load data sequence and each historical load data sequence includes: For the current load data sequence and any historical load data sequence A, obtain the DTW distance between the current load data sequence and the historical load data sequence A, and record the DTW distance as the first distance value, record the cumulative sum of all load data in the current load data sequence as the first cumulative value, record the cumulative sum of all load data in the historical load data sequence A as the second cumulative value, record the absolute value of the difference between the first cumulative value and the second cumulative value as the second distance value, and record the negative correlation mapping value of the product of the first distance value and the second distance value as the similarity characterization value between the current load data sequence and the historical load data sequence A.

9. The four-in-one terminal with error recognition and detection function according to claim 1, characterized in that: The method for obtaining the action state of the four-in-one terminal at the current monitoring moment according to the power grid abnormality probability characterization value includes: If it is determined that the power grid abnormality probability characterization value is less than a preset abnormality probability threshold, it is determined that the four-in-one terminal performs a disconnection operation; otherwise, it is determined that the four-in-one terminal does not perform a disconnection operation.

Images