CN118980850B - A method and device for identifying characteristic current of power lines and a phase line identification system - Google Patents
A method and device for identifying characteristic current of power lines and a phase line identification system Download PDFInfo
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
- G01R19/252—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques using analogue/digital converters of the type with conversion of voltage or current into frequency and measuring of this frequency
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Abstract
本申请涉及一种电力线特征电流识别方法、装置及相线识别系统。该方法基于预设时间窗口和预设滑动步长将电流信号和特征频率对应的电流信号进行划分，获得第一时间窗口数组和第二时间窗口数组，然后再根据特征序列获得基于直接电流信号识别的第一识别序列和基于特征频率识别的第二识别序列，最后通过与特征序列对比从而可以判断特征电流信号。本申请实施例中通过同时对电流信号直接识别和特征频率电流信号识别两种方式，从而可以实现在不同噪声或干扰环境下的准确识别，显著提高了识别的准确性和鲁棒性。
The present application relates to a method, device and phase line identification system for identifying characteristic current of power lines. The method divides the current signal and the current signal corresponding to the characteristic frequency based on a preset time window and a preset sliding step size, obtains a first time window array and a second time window array, and then obtains a first identification sequence based on direct current signal identification and a second identification sequence based on characteristic frequency identification according to the characteristic sequence, and finally determines the characteristic current signal by comparing with the characteristic sequence. In the embodiment of the present application, by simultaneously identifying the current signal directly and the characteristic frequency current signal, accurate identification can be achieved in different noise or interference environments, which significantly improves the accuracy and robustness of identification.
Description
Technical Field
The present invention relates to the field of power line communication, and in particular, to a method and apparatus for identifying a characteristic current of a power line, and a phase line identification system.
Background
Along with the rapid progress of the intelligent power grid and the electric power internet of things technology, the automation and intelligent level of an electric power system is remarkably improved, and particularly in the fields of power distribution management and network topology identification, the efficient and accurate topology identification technology has important significance for guaranteeing stable operation of the power grid, optimizing resource allocation and quick fault location.
The topology identification method based on the characteristic circuit is to determine the phase line or the area to which the phase line belongs according to whether the characteristic current is detected. However, this approach presents a number of challenges in practical applications, particularly in complex broadband carrier communication environments. Among these, the most prominent problems are the diversity and uncertainty of the noise environment. Due to the complex characteristics of the Power Line Communication (PLC) channel, various factors including line impedance variation, electromagnetic interference, load fluctuation, etc., interference or noise level in the communication environment is difficult to predict and the variation range is wide. The inconsistency of the noise magnitude and the dynamic change of the environmental background noise cause the situation that the characteristic current identification in the prior art is easy to miss identification or misidentification. Therefore, how to accurately identify the characteristic current is still a problem to be solved.
Disclosure of Invention
In view of the above, an embodiment of the present application provides a method, an apparatus, and a phase line identification system for identifying a characteristic current of a power line to solve at least one problem existing in the background art.
In a first aspect, an embodiment of the present application provides a method for identifying a characteristic current of a power line, where the characteristic current signal is generated according to a characteristic frequency and a characteristic sequence, where the characteristic sequence includes an m-bit feature code, and the feature code is represented by 1 or 0, and the method includes:
acquiring a current signal in a power line;
Dividing the current signal into continuous time windows based on a preset time window and a preset sliding step length to obtain a first time window array, wherein the time width of the preset time window is equal to the time width of the characteristic current signal;
Extracting a current signal corresponding to the characteristic frequency from the current signal, dividing the current signal corresponding to the characteristic frequency into a series of continuous time windows based on the preset time window and the preset sliding step length, and obtaining a second time window array;
Obtaining a first identification sequence corresponding to each time window according to the first time window array and the characteristic sequence, and obtaining a second identification sequence corresponding to each time window according to the second time window array and the characteristic sequence;
Comparing the first identification sequence corresponding to each time window in the first time window array and the second identification sequence corresponding to each time window in the second time window array with the characteristic sequence, and judging whether a characteristic current signal exists or not according to a comparison result.
In a second aspect, an embodiment of the present application provides a power line characteristic current identifying device, where the characteristic current signal is generated according to a characteristic frequency and a characteristic sequence, the characteristic sequence includes an m-bit characteristic code, the characteristic code is denoted by 1 or 0, and the identifying device includes:
an acquisition unit configured to acquire a current signal in a power line;
The device comprises a first time window array calculation unit, a second time window array calculation unit and a third time window array calculation unit, wherein the first time window array calculation unit is used for dividing the current signal into continuous time windows based on a preset time window and a preset sliding step length, and obtaining a first time window array, wherein the time width of the preset time window is equal to the time width of the characteristic current signal;
the second time window array calculation unit is used for extracting the current signal corresponding to the characteristic frequency from the current signal, dividing the current signal corresponding to the characteristic frequency into a series of continuous time windows based on the preset time window and the preset sliding step length, and obtaining a second time window array;
the first recognition sequence calculation unit is used for obtaining a first recognition sequence corresponding to each time window according to the first time window array and the characteristic sequence;
The second recognition sequence calculation unit is used for obtaining a second recognition sequence corresponding to each time window according to the second time window array and the characteristic sequence;
The judging unit is used for comparing the first identification sequence corresponding to each time window in the first time window array and the second identification sequence corresponding to each time window in the second time window array with the characteristic sequence, and judging whether a characteristic current signal exists or not according to a comparison result.
In a third aspect, an embodiment of the present application provides a phase line identification system, where the phase line identification system includes the identification device, the acquisition terminal and a plurality of electric energy meters according to the above embodiment, the plurality of electric energy meters are disposed at each phase line branch in the acquisition terminal, and the identification device is respectively connected to each phase line in the acquisition terminal through a plurality of current transformers;
The acquisition terminal is used for sending a phase line identification signal to the electric energy meter to be identified;
the electric energy meter to be identified is used for responding to the phase line identification signal and sending a characteristic current signal;
The identification device is used for receiving the current signal of each phase line, carrying out characteristic current signal identification on the current signals, and determining the phase line of the electric energy meter to be identified according to the identification result.
In a fourth aspect, an embodiment of the present application provides a system for identifying a topological structure of a transformer substation area, where the system includes a plurality of power line characteristic current identifying devices according to the above embodiment, where the identifying devices are respectively disposed at each power line branch in the transformer substation area, and the identifying devices determine an electric energy meter on each power line branch, and determine a topological structure of the transformer substation area according to the electric energy meter on each power line branch.
In the embodiment of the application, the current signal and the current signal corresponding to the characteristic frequency are divided based on a preset time window and a preset sliding step length to obtain a first time window array and a second time window array, then a first recognition sequence based on direct current signal recognition and a second recognition sequence based on characteristic frequency recognition are obtained according to the characteristic sequence, and finally the characteristic current signal can be judged by comparing with the characteristic sequence. According to the embodiment of the application, the current signal is directly identified and the characteristic frequency current signal is identified at the same time, so that accurate identification under different noise or interference environments is realized, and the accuracy and the robustness of identification are obviously improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a schematic flow chart of a power line characteristic current identification method according to an embodiment of the application;
FIG. 2 is a schematic diagram of a current signal according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a current signal extracted through a characteristic frequency according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a current signal according to another embodiment of the present application;
FIG. 5 is a schematic diagram of a current signal extracted through a characteristic frequency according to another embodiment of the present application;
FIG. 6 is a flowchart illustrating a time window array identification sequence acquisition process according to an embodiment of the present application;
fig. 7 is a schematic diagram of a power line characteristic current identifying device according to an embodiment of the application;
FIG. 8 is a schematic diagram of an identification sequence calculating unit according to an embodiment of the application;
fig. 9 is a schematic diagram of an identification sequence calculating unit according to an embodiment of the application.
Detailed Description
In order to make the technical scheme and the beneficial effects of the application more obvious and understandable, the following detailed description is given by way of example. Unless defined otherwise, technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Fig. 1 is a schematic flow chart of a power line characteristic current identification method according to an embodiment of the application. As shown in fig. 1, the method includes:
s1, acquiring a current signal in a power line.
Specifically, acquiring the current signals of the power lines refers to acquiring the current signals of a plurality of different power lines, and the phase line or the station area of the electric energy meter corresponding to the characteristic current signals can be judged through characteristic current identification. In the embodiment of the application, the characteristic current signal is generated according to the characteristic frequency and the characteristic sequence, wherein the characteristic sequence comprises m-bit characteristic codes, the bit width time of each bit of the characteristic code is t, and the characteristic codes are represented by 1 or 0. As an alternative embodiment, the characteristic current signal is modulated by OOK (On-Off keying). Specifically, the existence of fixed bit width characteristic current is realized through OOK modulation to represent '1' and '0' of a digital signal, the characteristic frequency of a modulated carrier frequency is f 1, the duration time of each bit is set bit width time t, if the bit is 1, the frequency f 1 is used for switching in the duration time of the bit, and if the bit is 0, the switching is not performed. In the embodiment of the application, the feature codes are represented by 1 and 0, and the electric energy meter sends the feature current signals corresponding to the feature sequences to the power line through OOK modulation. The characteristic current is changed according to the load, if the load is a constant-resistance load and the internal resistance is constant, the characteristic current is changed along with the current electric amplitude, and if the load is a constant-current load and the internal resistance is changed along with the alternating current electric amplitude, the characteristic current is constant. In the embodiment of the application, the current signal in the power line can be received and acquired through the current transformer, so that additional wiring is not needed.
S2, obtaining a time window array according to the current signal based on a preset time window and a preset sliding step length.
The time width of the preset time window is equal to the time width of the characteristic current signal, and the time width of the preset sliding step length is smaller than the time of the characteristic code bit width.
Specifically, the current signal is divided into continuous time windows based on a preset time window and a preset sliding step length, and a time window array is obtained. For example, the feature sequence is 16 feature codes in total, the bit width time of each feature code is 0.6s, the time width of the feature current signal is 16x0.6=9.6 s, the preset time window width is 9.6s, if the sampling frequency of the current signal is 5000Hz, the number of sampling points in each time window is 48000, the sliding step length is 500 sampling points, and the time width of the corresponding sliding step length is 0.1s. As an optional specific implementation manner, the time width of the preset sliding step is smaller than the time of the bit width of the feature code, so that the real-time identification of the feature current signal is realized, and meanwhile, the condition of missing identification caused by too large sliding step can be reduced. Further, the feature code bit width time is an integer multiple of the time width of the preset sliding step. The continuous time window of the present application refers to a time window that is divided by sliding according to a sliding step, and two adjacent time windows have overlapping portions. For example, the time corresponding to the first time window is from t 0 to t 16, and the time corresponding to the next time window is from t 0 +a to t 16 +a, where t0 represents the time at which the acquisition of the current signal is started, a represents the time width of the sliding step, and the time width of the time window is equal to the time difference between t 16 and t 0.
The method comprises the steps of obtaining a time window array according to a current signal, extracting the current signal according to a preset extraction interval to obtain an extracted current signal, and dividing the extracted current signal into continuous time windows based on a preset time window and a preset sliding step length to obtain the time window array. In the embodiment of the application, the current signal is extracted and processed through the preset extraction interval, so that the data processing amount can be reduced, and the processing speed can be increased. For example, if the preset extraction interval is 500 sampling points, the time between two sampling points after the extraction processing is 0.1s, the sampling points in each bit width time are 6 points, and the number of the sampling points in each time window is 96 points, so that the processing amount of subsequent data is greatly reduced. Further, the feature code bit width time is an integer multiple of the time width of the preset sliding step.
As an optional specific embodiment, obtaining the time window array according to the current signal based on the preset time window and the preset sliding step length includes:
And extracting a current signal corresponding to the characteristic frequency from the current signals, dividing the current signal corresponding to the characteristic frequency into continuous time windows based on a preset time window and a preset sliding step length, and obtaining a time window array.
In the embodiment of the application, the current signals corresponding to the characteristic frequencies in the characteristic current signals are extracted, so that the interference and noise in the current signals can be effectively removed, and the accuracy and reliability of identification are improved. The interference herein includes power frequency current signal interference, harmonic interference, and the like. The power frequency current signal is a current continuously flowing in the current line, the frequency of the current is usually fixed, the power frequency current signal strength can be different according to the connected load or the operation condition, and the frequency of the characteristic current signal is usually far higher than that of the power frequency current signal so as to ensure that the current can be effectively transmitted on the power line. After the characteristic current signal is sent on the power line, the characteristic current signal and the power frequency current signal are overlapped together, but the characteristic current signal and the power frequency current signal are different in frequency, so that the characteristic current signal and the power frequency current signal can be separated. For example, if the characteristic frequency of the characteristic frequency signal is 833.3Hz, after the 833.3Hz characteristic current signal is superimposed with the 50Hz power frequency current signal, the effective frequency domain peak values of the characteristic current signal are 783.3Hz and 883.3Hz, so that the identification can be performed by extracting the current signal corresponding to the characteristic frequency, thereby improving the accuracy of the identification. In the embodiment of the application, the extraction can be performed by means of Fourier transformation or multi-order filtering, and the like, and the application is not limited.
As an optional specific embodiment, obtaining the time window array according to the current signal based on the preset time window and the preset sliding step length includes:
The method comprises the steps of obtaining a first time window array by dividing a current signal into continuous time windows based on a preset time window and a preset sliding step length, extracting a current signal corresponding to a characteristic frequency from the current signal, and obtaining a second time window array by dividing the current signal corresponding to the characteristic frequency into a series of continuous time windows based on the preset time window and the preset sliding step length.
In the embodiment of the application, all frequency signals in the power line are included in the first time window array, the frequencies are not separated, the current signals corresponding to the characteristic frequencies are in the second time window array, and the characteristic current signals are recognized through subsequent simultaneous recognition of each time window in the first time window array and the second time window array, so that the recognition accuracy and reliability can be improved, and the double recognition mechanism ensures that the characteristic current signals can be accurately and effectively recognized in different environments.
For example, the characteristic current signal corresponds to a characteristic sequence 1010101011101001. Fig. 2 is a schematic diagram of a current signal according to an embodiment of the present application, in which a characteristic current signal is less in interference or noise, at this time, the intensity of the characteristic current signal directly affects the waveform of the current signal in the power signal, in a time window T1-T2, characteristic current signal identification is directly performed on the current signal by means of envelope detection or threshold determination, an identification code forming a protrusion position period in the corresponding current signal is 1, and an identification code forming no protrusion position period is 0, so that an obtained identification sequence is 1010101011101001, and the identification sequence corresponds to the characteristic sequence one by one, thereby accurately identifying the characteristic current signal. Fig. 3 is a schematic diagram of a current signal extracted by a characteristic frequency according to an embodiment of the present application, specifically, fig. 3 is a waveform diagram of the current signal after sampling the current signal in fig. 2 at preset intervals (the interval is 500 points) and extracting the characteristic frequency, and it can be seen from the diagram that a part of characteristic peaks of the waveform in a time window T1-T2 after extracting the characteristic frequency are not obvious, are not easy to identify, and are easy to misjudge and misidentify. Fig. 4 is a schematic diagram of a current signal according to another embodiment of the present application, in which the characteristic current signal is greatly disturbed or noisy, and the intensity of the characteristic current signal does not directly affect the waveform of the current signal in the power signal, and the situation of easy erroneous judgment is directly identified. Fig. 5 is a schematic diagram of a current signal extracted by a characteristic frequency according to another embodiment of the present application, specifically, fig. 5 is a waveform diagram of the current signal extracted by the characteristic frequency after sampling the current signal in fig. 4 at preset intervals (the interval is 1000 points), and it can be seen from the diagram that the waveform after the characteristic frequency extraction has obvious wave peaks and wave troughs in a time window of T1'-T2', so that an accurate identification code can be obtained in a mode of threshold value judgment in the following, and the identification sequence is 1010101011101001, and the identification sequence corresponds to the characteristic sequence one by one, thereby accurately identifying the characteristic current signal.
According to the embodiment of the application, the first time window array and the second time window array are obtained according to the processing of the current signals, and the current signals corresponding to the current signals and the characteristic frequencies are identified at the same time, so that the characteristic current signals can be accurately identified even under different interference or noise environments, and the accuracy and the reliability of identification are improved.
S3, obtaining an identification sequence corresponding to each time window according to the time window array and the feature sequence.
Specifically, fig. 6 is a schematic diagram of a time window array identification sequence acquisition procedure according to an embodiment of the present application. As shown in fig. 6, step S3 includes:
S31, dividing each time window in the time window array at equal intervals according to a preset time length.
Each time window is divided into m time periods, the preset time length is equal to the bit width time of each bit of the feature code, and the m time periods are in one-to-one correspondence with the m bit feature codes.
S32, calculating an identification threshold value corresponding to each time window according to the intensity values and the characteristic sequences of the current signals of m time periods corresponding to each time window.
Specifically, the recognition threshold is calculated by the following formula:
wherein, Representing the corresponding feature code of 1 in m time periodsThe intensity value of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsIntensity values of the current signal for each time period; Indicating the number of feature codes of 1 in the feature sequence, The number of feature codes of 0 in the feature sequence is indicated. The intensity value of the current signal in each period may be an intensity peak value, an intensity average value, or a total intensity value of the current signal in the period.
In the embodiment of the application, the identification threshold is not a fixed threshold, but is adaptively and dynamically adjusted based on the intensity values of the current signals of m time periods and the corresponding relation between the m time periods and the feature codes in each time window, and the identification threshold of each time window considers the current signal intensity of the feature signals when the feature codes are 1 and the noise or interference signal intensity level when the feature codes are 0, so that the corresponding identification codes can be accurately obtained in each time period. The identification threshold value of the embodiment of the application is more accurate, and because the signal strength of interference and noise is considered, the embodiment of the application can obtain the accurate identification threshold value for judging the identification code even under the condition that the interference or noise level in the communication environment is difficult to predict.
As an alternative embodiment, S32 includes:
calculating an identification threshold value corresponding to each time window according to the intensity average value and the characteristic sequence of the current signal of each time period in m time periods corresponding to each time window;
The corresponding code is used to determine the position of the object, Representing the corresponding feature code of 1 in m time periodsThe average intensity of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsThe average intensity of the current signal for each time period. The total intensity value of the current signal refers to an average value of the current intensity values of the sampling points in the period.
As an alternative embodiment, S32 includes:
calculating an identification threshold value corresponding to each time window according to the total intensity value and the characteristic sequence of the current signal of each time period in m time periods corresponding to each time window;
The corresponding code is used to determine the position of the object, Representing the corresponding feature code of 1 in m time periodsThe total intensity value of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsTotal intensity value of the current signal for each time period. The total intensity value of the current signal refers to the sum of the current intensity values of the sampling points in the period.
In the embodiment of the application, the identification threshold value is obtained through the intensity average value or the total intensity value of each time period, and the identification code of the time period is obtained correspondingly and later through the identification threshold value corresponding to the intensity average value or the total intensity value.
S33, judging the intensity value of the current signal in each time period corresponding to each time window and the corresponding identification threshold value, and obtaining the identification sequence of each time window.
Specifically, S33 includes:
If the intensity value of the current signal in a certain time period is smaller than the corresponding identification threshold value, the time period identification code is 0;
Each time window obtains an identification sequence according to the identification codes of the corresponding m time periods.
In particular, ifGreater than the recognition threshold, the corresponding feature code in the m time periods is 1The feature code of each time period is 1, ifLess than the recognition threshold, the corresponding feature code in the m time periods is 1The feature code of each time period is 0, ifGreater than the recognition threshold, the corresponding feature code in the m time periods is 0The feature code of each time period is 1, ifLess than the recognition threshold, the corresponding feature code in the m time periods is 0The signature of each time period is 0.
In the embodiment of the application, the identification threshold value of each time window is dynamically adjusted according to the current signal intensity in the time window and the corresponding relation with the characteristic sequence, and the noise or interference environment of each time window can be dynamically adjusted through the self-adaptive dynamic adjustment mechanism of the identification threshold value, so that the identification code of each time period can be accurately judged and generated even under the complex and changeable noise and interference conditions, and further, the reliable and accurate identification sequence is obtained, the accuracy of the identification sequence is improved, and the misjudgment condition is reduced. Compared with the traditional fixed threshold method, the identification threshold of the embodiment of the application can be adjusted in real time according to the change of interference or noise, and can be applied to various complex and changeable environments, thereby greatly improving the accuracy and reliability of the identification sequence and laying a foundation for accurately identifying and judging the characteristic current signal subsequently.
As an optional specific implementation manner, a first identification sequence corresponding to each time window is obtained according to the first time window array and the feature sequence, and a second identification sequence corresponding to each time window is obtained according to the second time window array and the feature sequence. It should be noted that, the time windows in the first time window array and the second time window array are in one-to-one correspondence, but the current signal data of the time windows have different results due to different processing, and in the embodiment of the application, each time window has a corresponding first identification sequence and second identification sequence, so that the advantages of two different processing modes can be integrated, and the characteristic current signal can be accurately identified under different interference or noise environments.
S4, comparing the identification sequence of each time window with the characteristic sequence, and judging whether a characteristic current signal exists or not according to a comparison result.
Specifically, if the identification sequence is the same as the characteristic sequence, the characteristic current signal is identified, otherwise, the characteristic current signal is not identified. By the one-to-one correspondence of the identification sequences and the characteristic sequences, whether the characteristic current signals are identified or not can be accurately judged.
In the embodiment of the application, the identification threshold value of each time window is dynamically adjusted in a self-adaptive manner, so that the accurate identification code corresponding to each time period can be obtained, and the identification sequence corresponding to each time window is further obtained. The identification sequence of the embodiment of the application is simple and convenient, and can be accurately obtained even under the condition of changeable noise or interference. Compared with the existing mode of fixing the threshold, the identification threshold of the embodiment of the application considers the noise interference condition and also considers the intensity of the characteristic signal, so that the identification sequence obtained by the identification threshold is more accurate, and the identification sequence can accurately judge whether the characteristic current exists.
As an alternative embodiment, S4 includes:
comparing the first identification sequence corresponding to each time window in the first time window array and the second identification sequence corresponding to each time window in the second time window array with the characteristic sequence, and judging whether the characteristic current signal exists or not according to the comparison result.
Specifically, if the first identification sequence and/or the second identification sequence are/is the same as the characteristic sequence, the characteristic current signal is judged to be identified, otherwise, the characteristic current signal is judged not to be identified.
In the embodiment of the application, through combining two modes of direct current signal identification and characteristic frequency current signal identification, the first identification sequence (based on direct current signal identification) and the second identification sequence (based on characteristic frequency identification) are compared with the characteristic sequence, and if any identification sequence is identical with the characteristic sequence, the identification of the characteristic current signal is judged, so that the accurate identification under different noise and interference environments can be realized, and the accuracy and the robustness of the identification are obviously improved.
It should be understood that although the individual steps in the flowcharts of fig. 1 and 6 are not necessarily sequentially performed in order. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 and 6 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the execution of the steps or stages is not necessarily sequential, but may be performed in turn or alternately with at least a portion of the steps or stages in other steps or other steps.
Fig. 7 is a schematic diagram of a power line characteristic current identifying device according to an embodiment of the application. As shown in fig. 7, the apparatus includes:
An acquisition unit 100 for acquiring a current signal in the power line.
The time window array calculating unit 200 is configured to obtain a time window array according to the current signal based on a preset time window and a preset sliding step.
The method comprises the steps of obtaining a time window array according to a current signal, extracting the current signal according to a preset extraction interval to obtain an extracted current signal, and dividing the extracted current signal into continuous time windows based on a preset time window and a preset sliding step length to obtain the time window array.
As an optional specific embodiment, obtaining the time window array according to the current signal based on the preset time window and the preset sliding step length includes:
And extracting a current signal corresponding to the characteristic frequency from the current signals, dividing the current signal corresponding to the characteristic frequency into continuous time windows based on a preset time window and a preset sliding step length, and obtaining a time window array.
The recognition sequence calculating unit 300 is configured to obtain a recognition sequence corresponding to each time window according to the time window array and the feature sequence.
Specifically, fig. 8 is a schematic diagram of an identification sequence calculating unit according to an embodiment of the present application, and as shown in fig. 8, the identification sequence calculating unit 300 includes:
The dividing module 301 is configured to divide each time window in the time window array at equal intervals according to a preset time length.
The recognition threshold calculating module 302 is configured to calculate a recognition threshold corresponding to each time window according to the intensity values and the feature sequences of the current signals of the m time periods corresponding to each time window.
Specifically, the recognition threshold is calculated by the following formula:
wherein, Representing the corresponding feature code of 1 in m time periodsThe intensity value of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsIntensity values of the current signal for each time period; Indicating the number of feature codes of 1 in the feature sequence, The number of feature codes of 0 in the feature sequence is indicated.
The identification code judging module 303 is configured to judge the intensity value of the current signal in each time period corresponding to each time window and the size of the corresponding identification threshold, so as to obtain an identification sequence of each time window.
Specifically, obtaining the identification sequence of each time window includes:
If the intensity value of the current signal in a certain time period is smaller than the corresponding identification threshold value, the time period identification code is 0;
Each time window obtains an identification sequence according to the identification codes of the corresponding m time periods.
In particular, ifGreater than the recognition threshold, the corresponding feature code in the m time periods is 1The feature code of each time period is 1, ifLess than the recognition threshold, the corresponding feature code in the m time periods is 1The feature code of each time period is 0, ifGreater than the recognition threshold, the corresponding feature code in the m time periods is 0The feature code of each time period is 1, ifLess than the recognition threshold, the corresponding feature code in the m time periods is 0The signature of each time period is 0.
And the judging unit 400 is used for comparing the identification sequence of each time window with the characteristic sequence and judging whether the characteristic current signal exists according to the comparison result.
Specifically, judging whether the characteristic current signal exists according to the comparison result comprises the following steps:
If the identification sequence is the same as the characteristic sequence, the characteristic current signal is identified, otherwise, the characteristic current signal is not identified. By the one-to-one correspondence of the identification sequences and the characteristic sequences, whether the characteristic current signals are identified or not can be accurately judged.
Fig. 9 is a schematic diagram of an identification sequence calculating unit according to an embodiment of the application. As shown in fig. 9, the time window array calculation unit 200 includes:
The first time window array calculating unit 210 is configured to divide the current signal into consecutive time windows based on a preset time window and a preset sliding step length, and obtain a first time window array.
The second time window array calculating unit 220 is configured to extract a current signal corresponding to the characteristic frequency from the current signal, divide the current signal corresponding to the characteristic frequency into a series of consecutive time windows based on a preset time window and a preset sliding step length, and obtain a second time window array.
Correspondingly, the recognition sequence calculating unit 300 includes:
A first recognition sequence calculating unit 310, configured to obtain a first recognition sequence corresponding to each time window according to the first time window array and the feature sequence;
the second recognition sequence calculating unit 320 is configured to obtain a second recognition sequence corresponding to each time window according to the second time window array and the feature sequence.
Correspondingly, the judging unit 400 compares the first identification sequence corresponding to each time window in the first time window array, the second identification sequence corresponding to each time window in the second time window array with the feature sequence, and judges whether the feature current signal exists according to the comparison result.
Specifically, judging whether the characteristic current signal exists according to the comparison result comprises the following steps:
Specifically, if the first identification sequence and/or the second identification sequence are/is the same as the characteristic sequence, the characteristic current signal is judged to be identified, otherwise, the characteristic current signal is judged not to be identified.
The embodiment of the application also provides a phase line identification system, which comprises the identification device, the acquisition terminal and a plurality of electric energy meters, wherein the electric energy meters are arranged at the branch position of each phase line in the acquisition terminal, and the identification device is respectively connected with each phase line in the acquisition terminal through a plurality of current transformers;
The acquisition terminal is used for sending a phase line identification signal to the electric energy meter to be identified;
The electric energy meter to be identified is used for responding to the phase line identification signal and sending a characteristic current signal;
The identification device is used for receiving the current signal of each phase line, carrying out characteristic current signal identification on the current signals, and determining the phase line of the electric energy meter to be identified according to the identification result.
The embodiment of the application also provides a system for identifying the topological structure of the transformer station area, which comprises a plurality of identification devices, wherein the identification devices are respectively arranged at each power line branch in the transformer station area, the identification devices determine the electric energy meter on each power line branch, and the topological structure of the transformer station area is determined according to the electric energy meter on each power line branch.
It should be understood that the above examples are illustrative and are not intended to encompass all possible implementations encompassed by the claims. Various modifications and changes may be made in the above embodiments without departing from the scope of the disclosure. Likewise, the individual features of the above embodiments can also be combined arbitrarily to form further embodiments of the invention which may not be explicitly described. Therefore, the above examples merely represent several embodiments of the present invention and do not limit the scope of protection of the patent of the present invention.
Claims (10)
1. A power line characteristic current identification method, characterized in that a characteristic current signal is generated according to a characteristic frequency and a characteristic sequence, wherein the characteristic sequence comprises an m-bit characteristic code, the characteristic code is represented by 1 or 0, the method comprising:
acquiring a current signal in a power line;
Dividing the current signal into continuous time windows based on a preset time window and a preset sliding step length to obtain a first time window array, wherein the time width of the preset time window is equal to the time width of the characteristic current signal;
Extracting a current signal corresponding to the characteristic frequency from the current signal, dividing the current signal corresponding to the characteristic frequency into a series of continuous time windows based on the preset time window and the preset sliding step length, and obtaining a second time window array;
Obtaining a first identification sequence corresponding to each time window according to the first time window array and the characteristic sequence, and obtaining a second identification sequence corresponding to each time window according to the second time window array and the characteristic sequence;
Comparing the first identification sequence corresponding to each time window in the first time window array and the second identification sequence corresponding to each time window in the second time window array with the characteristic sequence, and judging whether a characteristic current signal exists or not according to a comparison result.
2. The power line characteristic current identification method according to claim 1, wherein determining whether the characteristic current signal is present or not based on the comparison result comprises:
And if the first identification sequence and/or the second identification sequence are/is the same as the characteristic sequence, judging that the characteristic current signal is identified, otherwise, judging that the characteristic current signal is not identified.
3. The power line characteristic current identification method according to claim 1, wherein obtaining a first identification sequence corresponding to each time window from the first time window array and the characteristic sequence, and obtaining a second identification sequence corresponding to each time window from the second time window array and the characteristic sequence, comprises:
Dividing each time window in the first time window array and the second time window array at equal intervals according to a preset time length, wherein each time window is divided into m time periods, the preset time length is equal to the bit width time of the feature code, and the m time periods are in one-to-one correspondence with the m bit feature codes;
Calculating an identification threshold value corresponding to each time window according to the intensity values of the current signals of m time periods corresponding to each time window and the characteristic sequence;
And judging the sizes of the current signals and the corresponding recognition thresholds of each time period corresponding to each time window, and obtaining the recognition sequence of each time window.
4. The method for identifying the characteristic current of the power line according to claim 3, wherein the identification threshold value corresponding to each time window is calculated according to the intensity values of the current signals of m time periods corresponding to each time window and the characteristic sequence, specifically:
,
wherein, Representing the corresponding feature code of 1 in m time periodsThe intensity value of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsThe intensity value of the current signal for each time period,Indicating the number of feature codes of 1 in the feature sequence,The number of feature codes of 0 in the feature sequence is indicated.
5. The method for identifying characteristic current of a power line according to claim 4, wherein determining the magnitude of the intensity value of the current signal for each time period corresponding to each time window and the corresponding identification threshold value, and obtaining the identification sequence for each time window, comprises:
If the intensity value of the current signal in a certain time period is smaller than the corresponding identification threshold value, the time period identification code is 0;
Each time window obtains an identification sequence according to the identification codes of the corresponding m time periods.
6. The method for identifying the characteristic current of the power line according to claim 5, wherein the identifying threshold value corresponding to each time window is calculated according to the current signals of m time periods corresponding to each time window and the characteristic sequence, specifically:
Calculating an identification threshold value corresponding to each time window according to the characteristic sequence and the intensity average value of the current signal of each time period in m time periods corresponding to each time window;
The corresponding code is used to determine the position of the object, Representing the corresponding feature code of 1 in m time periodsThe average intensity of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsThe average intensity of the current signal for each time period.
7. The method for identifying the characteristic current of the power line according to claim 5, wherein the identifying threshold value corresponding to each time window is calculated according to the current signals of m time periods corresponding to each time window and the characteristic sequence, specifically:
Calculating an identification threshold value corresponding to each time window according to the total intensity value of the current signal of each time period in m time periods corresponding to each time window and the characteristic sequence;
The corresponding code is used to determine the position of the object, Representing the corresponding feature code of 1 in m time periodsThe total intensity value of the current signal for each time period,Representing the corresponding feature code of 0 in m time periodsTotal intensity value of the current signal for each time period.
8. A power line characteristic current identification device, characterized in that a characteristic current signal is generated according to a characteristic frequency and a characteristic sequence, wherein the characteristic sequence includes m-bit characteristic codes, the characteristic codes are represented by 1 or 0, the identification device comprising:
an acquisition unit configured to acquire a current signal in a power line;
The device comprises a first time window array calculation unit, a second time window array calculation unit and a third time window array calculation unit, wherein the first time window array calculation unit is used for dividing the current signal into continuous time windows based on a preset time window and a preset sliding step length, and obtaining a first time window array, wherein the time width of the preset time window is equal to the time width of the characteristic current signal;
the second time window array calculation unit is used for extracting the current signal corresponding to the characteristic frequency from the current signal, dividing the current signal corresponding to the characteristic frequency into a series of continuous time windows based on the preset time window and the preset sliding step length, and obtaining a second time window array;
the first recognition sequence calculation unit is used for obtaining a first recognition sequence corresponding to each time window according to the first time window array and the characteristic sequence;
The second recognition sequence calculation unit is used for obtaining a second recognition sequence corresponding to each time window according to the second time window array and the characteristic sequence;
The judging unit is used for comparing the first identification sequence corresponding to each time window in the first time window array and the second identification sequence corresponding to each time window in the second time window array with the characteristic sequence, and judging whether a characteristic current signal exists or not according to a comparison result.
9. The phase line identification system is characterized by comprising the identification device, an acquisition terminal and a plurality of electric energy meters, wherein the identification device, the acquisition terminal and the electric energy meters are arranged at each phase line branch in the acquisition terminal, and the identification device is respectively connected with each phase line in the acquisition terminal through a plurality of current transformers;
The acquisition terminal is used for sending a phase line identification signal to the electric energy meter to be identified;
the electric energy meter to be identified is used for responding to the phase line identification signal and sending a characteristic current signal;
The identification device is used for receiving the current signal of each phase line, carrying out characteristic current signal identification on the current signals, and determining the phase line of the electric energy meter to be identified according to the identification result.
10. A transformer area topological structure identification system is characterized by comprising a plurality of power line characteristic current identification devices, wherein the identification devices are respectively arranged at each power line branch in a transformer area, the identification devices determine electric energy meters on each power line branch, and the topological structure of the transformer area is determined according to the electric energy meters on each power line branch.
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| CN114895095A (en) * | 2022-05-21 | 2022-08-12 | 青岛鼎信通讯股份有限公司 | A Characteristic Current Discrimination Method for Topology Recognition of Station Areas |
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| CN114895095A (en) * | 2022-05-21 | 2022-08-12 | 青岛鼎信通讯股份有限公司 | A Characteristic Current Discrimination Method for Topology Recognition of Station Areas |
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