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 Technology

[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] Moreover, 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. However, 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 integrated terminal may not be able to quickly adjust and respond to these changes, 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 does not mean that the power grid is operating abnormally, and it is not necessary 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, this situation will be determined as the four-in-one terminal needs to perform a disconnection action, which will cause the four-in-one terminal to malfunction. 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. The technical solution adopted is as follows:

[0005] 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:

[0006] The first acquisition module is used to acquire the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment, wherein the data in the voltage data sequence is the voltage data in the power grid collected by the data acquisition module in the four-in-one terminal;

[0007] The 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;

[0008] The judgment module 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 the power grid abnormality probability characterization value corresponding to the current monitoring time is obtained according to the current load data sequence and the historical load data sequence. According to the power grid abnormality probability characterization value, the action state of the four-in-one terminal at the current monitoring time is obtained.

[0009] Beneficial effect: The present invention comprises a first acquisition module for acquiring a current voltage data sequence and a reference historical voltage data sequence corresponding to the current monitoring moment; a second acquisition module for obtaining 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, obtaining 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 obtaining 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 for judging whether the target voltage mutation characterization value is not greater than a preset voltage threshold, if so, determining that the four-in-one terminal does not perform a disconnection operation, otherwise, obtaining 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. Moreover, the present invention can avoid the malfunction of the four-in-one terminal as much as possible based on the obtained power grid abnormality 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 abnormality probability characterization value. Brief Description of the Figures

[0010] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0011] Figure 1 It is a structural block diagram of a four-in-one terminal with an error recognition and detection function according to the present invention. Specific embodiments

[0012] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope protected by the embodiments of the present invention.

[0013] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present invention belongs.

[0014] This embodiment provides a four-in-one terminal with an error recognition and detection function, which is described in detail as follows:

[0015] As Figure 1 shown, a four-in-one terminal with an error recognition and detection function provided by this embodiment includes:

[0016] A first acquisition module 01, configured to acquire a current voltage data sequence and a reference historical voltage data sequence corresponding to the current monitoring moment.

[0017] The main purpose of this embodiment is to avoid misoperation of the four-in-one integrated terminal or improve the working accuracy of the four-in-one integrated terminal; and this embodiment takes any four-in-one integrated terminal as an example for analysis, that is, all the four-in-one integrated terminals that appear subsequently in this embodiment are the same four-in-one integrated terminal, and the power grid in this embodiment is the power grid that includes this four-in-one integrated terminal, and also refers to the power grid connected to this four-in-one integrated terminal, that is, the power grid in this embodiment is the power grid monitored by this four-in-one integrated terminal; and the four-in-one integrated 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 acquire voltage data in the power grid, and then send the acquired voltage data to the remote control terminal system through its built-in communication module. The remote terminal control system will analyze the data and send relevant instructions to the circuit breaker based on the analysis result to control the opening and closing actions of the circuit breaker; it should be noted that this embodiment mainly avoids misoperation and missed operation behaviors of the four-in-one integrated terminal by changing the data analysis process. 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.

[0018] In order to avoid misoperation and missed operation behaviors of the four-in-one integrated terminal in this embodiment, it is necessary to first obtain the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment. 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 misoperation and missed operation behaviors of the four-in-one integrated terminal. Therefore, in this 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:

[0019] 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 the actual situation. For example, in this embodiment, the moment 100 milliseconds before the current monitoring moment in time can be used as the preset first historical monitoring moment, and the moment 50 milliseconds before the current monitoring moment in time can be used as the preset second historical monitoring moment.

[0020] Then, the time period formed from the preset first historical monitoring moment to the preset second historical monitoring moment is recorded as the first time period, and it is required that the first time period includes the preset first historical monitoring moment and the preset second historical monitoring moment. The time period formed from the preset second historical monitoring moment to the current moment is recorded as the second time period, and it is required that the second time period does not include the preset second historical monitoring moment but includes the current monitoring moment.

[0021] After that, obtain the voltage data in the power grid collected by the data acquisition module in the four-in-one fusion terminal at each monitoring moment in the first time period, and record the time series sequence constructed by all the voltage data collected in the first time period as the reference historical voltage data sequence corresponding to the current monitoring moment; then obtain the voltage data in the power grid collected by the data acquisition module in the four-in-one fusion terminal at each monitoring moment in the second time period, and record the time series sequence constructed by all the voltage data collected in the second time period as the current voltage data sequence corresponding to the current monitoring moment.

[0022] And in specific applications, 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.

[0023] Therefore, through the above process, this embodiment obtains the current voltage data sequence and the reference historical voltage data sequence corresponding to the current monitoring moment.

[0024] The second acquisition module 02 is configured 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 wave 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 wave content characterization value.

[0025] Since the current four-in-one fusion terminal generally controls the actions of the four-in-one fusion terminal based on the magnitude relationship between a preset fixed threshold and the collected data, but the power grid during operation is dynamically changing, which also means that the data related to the power grid is dynamically changing. This dynamic change will cause errors when controlling the actions of the four-in-one fusion terminal based on the preset fixed threshold. That is to say, based on the preset fixed threshold, the four-in-one fusion terminal will have misoperation behaviors. For example, the voltage in the power grid is affected by the load in the power grid and the user's electricity consumption habits. That is to say, the voltage fluctuation situation in the power grid is affected by the load in the power grid and the user's electricity consumption habits. If the collected voltage in the power grid is data affected by factors such as the load in the power grid and the user's electricity consumption habits, and the fluctuation of this voltage data is large, then this voltage data affected by the load in the power grid or the user's electricity consumption habits may be greater than the preset fixed threshold. And this situation does not indicate that the power grid is operating abnormally, so there is no need to make the four-in-one fusion terminal execute the disconnection action. However, if the actions of the four-in-one fusion terminal are still controlled based on the preset fixed threshold at this time, the above situation where the value is greater than the preset fixed threshold will be determined as the four-in-one fusion terminal needs to execute the disconnection action, thus causing the four-in-one fusion terminal to have misoperation behaviors. And because the misoperation behaviors of the four-in-one fusion terminal will affect the normal operation of the power grid and may also pose safety hazards, it is necessary to avoid the misoperation behaviors of the four-in-one fusion terminal as much as possible, or reduce the probability of misoperation of the four-in-one fusion terminal as much as possible. And in this embodiment, it is mainly to first analyze the degree of voltage mutation at the current monitoring moment, that is, to obtain the target voltage mutation characterization value at the current monitoring moment by combining the influence of the load in the power grid on the voltage. On the basis of obtaining the analysis result of the voltage mutation degree, the abnormal operation probability of the power grid is analyzed in combination with the user's electricity consumption habits, that is, the abnormal probability characterization value of the power grid corresponding to the current monitoring moment. Finally, the action state of the four-in-one fusion terminal is determined based on the abnormal probability characterization value of the power grid and the target voltage mutation characterization value.

[0026] Based on the above analysis, it can be seen that this embodiment needs to first obtain the target voltage mutation characterization value at the current monitoring moment. And to obtain the target voltage mutation characterization value, it is necessary to first obtain the initial voltage mutation characterization value corresponding to the current monitoring moment and the corresponding fundamental wave content characterization value, and then combine the obtained initial voltage mutation characterization value and fundamental wave content characterization value to determine the target voltage mutation characterization value. Based on this, this embodiment will next first obtain the initial voltage mutation characterization value corresponding to the current monitoring moment and the corresponding fundamental wave content characterization value. The specific obtaining process is as follows:

[0027] First, obtain the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence. According to the mean value of the current voltage data sequence and the mean value of the reference historical voltage data sequence, obtain the initial voltage mutation characterization value corresponding to the current monitoring moment. The initial voltage mutation characterization value corresponding to the current monitoring moment refers to 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. The larger 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, the larger the initial voltage mutation characterization value. The larger the initial voltage mutation characterization value, the greater the possible change amplitude of the voltage data in the current voltage data sequence, and the greater the probability of abnormal operation of the power grid.

[0028] In an actual power grid, nonlinear devices such as loads will cause certain harmonics in the power grid, and the harmonics will cause voltage changes, that is, the harmonics will affect the waveform stability of the voltage to a certain extent or change the fluctuation degree of the voltage, thus resulting in 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 obtained current voltage data sequence and reference historical voltage data sequence are affected by harmonics, then it will affect the reliability or authenticity of the obtained initial voltage mutation characterization value. Therefore, in this embodiment, it is necessary 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 harmonics in the power grid, and optimize the initial voltage mutation characterization value based on the analysis result.

[0029] In this embodiment, if you want to obtain the fundamental wave 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 denote it as the new sequence. 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. The new sequence is a time-domain sequence. Then perform a Fourier transform on the new sequence, and form a signal with the data obtained after the Fourier transform and denote it as the frequency-domain signal of the new sequence. The abscissa value of the data points on the frequency-domain signal is the frequency, and the ordinate value is the amplitude. Then obtain the sum of the amplitudes corresponding to all frequencies on the frequency-domain signal of the new sequence, and denote it as the comprehensive amplitude. Then obtain the ratio of the amplitude corresponding to the fundamental frequency on the frequency-domain signal of the new sequence to the comprehensive amplitude, and use the obtained ratio as the fundamental wave content characterization value corresponding to the current monitoring moment. The fundamental frequency refers to the lowest frequency component in the signal. The larger the fundamental wave content characterization value, the smaller the harmonic content. Therefore, when the fundamental wave content characterization value is larger, the obtained initial voltage mutation characterization value is more reliable or more real.

[0030] After obtaining the initial voltage mutation characterization value and the corresponding fundamental wave content characterization value corresponding to the current monitoring moment, based on the obtained initial voltage mutation characterization value and fundamental wave content characterization value, the target voltage mutation characterization value at the current monitoring moment is obtained, 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 wave content characterization value. Moreover, the greater the target voltage mutation characterization value, the greater the probability that the power grid has abnormal operation.

[0031] Therefore, through the above process, this embodiment can obtain the target voltage mutation characterization value at the current monitoring moment.

[0032] The judgment module 03 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 fusion 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 abnormal probability characterization value corresponding to the current monitoring moment is obtained, and based on the power grid abnormal probability characterization value, the action state of the four-in-one fusion terminal at the current monitoring moment is obtained.

[0033] After obtaining the target voltage mutation characterization value at the current monitoring moment, it is then judged whether the target voltage mutation characterization value is greater than the preset voltage threshold. If it is judged 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 operation state at this time. Therefore, the four-in-one fusion terminal only needs to maintain its current state, that is, it is determined that the four-in-one fusion terminal does not perform a disconnection operation at this time. However, if it is judged 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 electricity consumption habits, and then determine the action state of the four-in-one fusion terminal based on the power grid abnormal probability characterization value. If it is judged that the target voltage mutation characterization value is greater than the preset voltage threshold, it is mainly because the user's electricity consumption habits may also cause the target voltage mutation characterization value to be greater than the preset voltage threshold, but this situation is not an abnormal operation of the power grid. And the user's electricity consumption habits have a certain regularity in time series, and the user's electricity consumption habits can be reflected by the power grid load data. Therefore, this embodiment next needs to analyze the power grid abnormal probability characterization value in combination with the load data. Specifically:

[0034] 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 historical load data sequence, the power grid abnormal probability characterization value corresponding to the current monitoring moment 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.

[0035] In this embodiment, the specific methods for obtaining the current load data sequence and the historical load data sequence are 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 periods and the current monitoring time period is an integer multiple of the preset time interval, and the time lengths of the historical monitoring time periods are all the same as 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 the actual situation. For example, in this embodiment, the time period composed of the current monitoring moment and the previous 2 hours of 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, then the time interval between the historical monitoring time periods in the obtained sequence and the current monitoring time period gradually increases. That is, if the sequence obtained by sorting the historical monitoring time periods in chronological order is denoted as the first sequence, then the time interval between the f-th historical monitoring time period in the first sequence and the current monitoring time period is the product of (F - f + 1) and the preset time interval, where F is the total number of historical monitoring time periods in the first sequence.

[0036] In this embodiment, according to the obtained current load data sequence and historical load data sequence, the specific process for obtaining the power grid anomaly probability characterization value corresponding to the current monitoring moment is as follows:

[0037] First, obtain the target voltage mutation characterization values at a preset number of target historical monitoring moments. The time interval between the target historical monitoring moments 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 will not be elaborated here; for example, if the preset time interval is set to 24 hours and the current monitoring moment is 9:00 am on Tuesday, then 9:00 am on the day before Tuesday here belongs to a target historical monitoring moment.

[0038] Then, obtain the similarity characterization values between the current load data sequence and each historical load data sequence, and denote the set constructed by the similarity characterization values between the current load data sequence and each historical load data sequence as the first set. After that, obtain the mean value of the first set and denote it as the first mean value, that is, the data in the first set are similarity characterization values, and the number of data in the first set is the preset number.

[0039] Among the target voltage mutation characterization values at all target historical monitoring moments, select the largest target voltage mutation characterization value as the reference value, and obtain the absolute value of the difference between the target voltage mutation characterization value at the current monitoring moment and the reference value. Then, use the exponential function to perform a negative correlation mapping on the absolute value of the difference between the target voltage mutation characterization value at the current monitoring moment and the reference value, and denote the negative correlation mapping value obtained by the mapping as the feature characterization value. After that, obtain the normalized value of the result of multiplying the feature characterization value by the first mean value, and denote it as the power grid anomaly probability characterization value corresponding to the current monitoring moment.

[0040] In addition, the specific expression for obtaining the power grid anomaly probability characterization value corresponding to the current monitoring moment is:

[0041]

[0042] where G is the power grid anomaly probability characterization value corresponding to the current monitoring moment, norm() is the normalization function, Y0 is the target voltage mutation characterization value at the current monitoring moment, Y1 is the reference value, M is the number of similar characterization values in the first set, is the m-th similar characterization value in the first set; and when is smaller and is larger, it indicates that the probability that the previous voltage fluctuation at the current moment is caused by the normal power consumption mode of users is greater, that is, it indicates that the probability of the normal operation of the power grid at this time is greater. On the contrary, when is larger and is smaller, it indicates that the probability that the voltage fluctuation at the current moment is caused by the abnormal operation of the power grid is greater; and because when is smaller and is larger, the value of G is larger. Therefore, when the value of G is larger, the probability that the four-in-one fusion terminal does not perform the disconnection operation is greater. On the contrary, it indicates that the probability that the four-in-one fusion terminal performs the disconnection operation is greater.

[0043] In this embodiment, the process of obtaining the similarity representation 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 sum of all load data in the current load data sequence, and record it as the first cumulative value, obtain the 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 perform a negative correlation mapping on the product of the first distance value and the second distance value using the exponential function, and record the mapping result as the similarity representation value between the current load data sequence and the historical load data sequence A. The similarity representation value between the current load data sequence and the historical load data sequence A is , where exp() is the exponential function with the constant e as the base; and when the similarity representation value between the current load data sequence and the historical load data sequence A is larger, it indicates that the former load data sequence is more similar to the historical load data sequence A, and it also means that the power consumption within the time interval segments corresponding to these two sequences is closer or the power consumption patterns such as the number of user - used loads are more similar; in addition, the method of obtaining the DTW distance between two sequences is a well - known technology, so it will not be described in detail in this embodiment.

[0044] Therefore, through the above process, it can be seen that when it is determined that the target voltage mutation representation value is greater than the preset voltage threshold, the grid anomaly probability representation value corresponding to the current monitoring moment is obtained. After obtaining the grid anomaly probability representation value corresponding to the current monitoring moment, the action state of the four - in - one terminal at the current monitoring moment is obtained according to the grid anomaly probability representation value. The specific obtaining process is as follows:

[0045] Judge whether the grid anomaly probability representation value corresponding to the current monitoring moment is less than the preset anomaly probability threshold. If so, it is determined that the four - in - one terminal performs a disconnection operation; otherwise, it is determined 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 can maintain its current state; and in specific applications, the implementer needs to set the preset anomaly probability threshold according to the actual situation. For example, in this embodiment, it can be set to 0.4.

[0046] 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 the malfunction of the four-in-one terminal as much as possible based on the obtained power grid abnormality 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 abnormality probability characterization value.

[0047] The above-described embodiments 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, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein 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 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, a current load data sequence and a historical load data sequence are obtained, and a 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. According to the power grid abnormality probability characterization value, the action state of the four-in-one terminal at the current monitoring moment is obtained; 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; The method for obtaining the power grid abnormality probability characterization value corresponding to the current monitoring moment includes: obtaining the target voltage mutation characterization values ​​at a preset number of target historical monitoring moments, 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 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; obtaining the similarity characterization value between the current load data sequence and each historical load data sequence, and recording the set constructed by the similarity characterization values ​​between the current load data sequence and each historical load data sequence as the first set; recording the mean of the first set as the first mean; among the target voltage mutation characterization values ​​at all target historical monitoring moments, selecting the largest target voltage mutation characterization value as the reference value; recording 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 as the characteristic characterization value; recording the normalized value of the result obtained by multiplying the characteristic characterization value by the first mean as the power grid abnormality probability characterization value corresponding to the current monitoring moment; 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, obtaining the DTW distance between the current load data sequence and the historical load data sequence A, and recording the DTW distance as the first distance value, recording the cumulative sum of all load data in the current load data sequence as the first cumulative value, recording the cumulative sum of all load data in the historical load data sequence A as the second cumulative value, recording the absolute value of the difference between the first cumulative value and the second cumulative value as the second distance value, and recording 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.

2. The four-in-one terminal with error recognition and detection function according to claim 1, characterized in that: The method for acquiring the current voltage data sequence and the reference historical voltage data sequence comprises: 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 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.

6. 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