An electrical engineering automation monitoring system and method

Abstract

The present invention discloses an electrical engineering automation monitoring system and method, wherein the monitoring system comprises: an acquisition module for acquiring the current signal of the electrical engineering; a preprocessing module for preprocessing the current signal to obtain an effective current signal; a first determination module for determining the loss value of the electrical engineering according to the effective current signal and comparing it with a preset loss value; and when the loss value is determined to be greater than the preset loss value, an alarm is issued. Based on the detected current signal, a simple algorithm is used for calculation to avoid processing and analyzing each data, reduce the amount of data processing, reduce the calculation complexity, and improve the efficiency and accuracy of judging whether the electrical engineering is abnormal.

Description

Technical Field

[0001] The present invention relates to the field of electrical engineering technology, and in particular to an electrical engineering automation monitoring system and method. Background Art

[0002] During the operation of each electrical equipment in electrical engineering, its operating status needs to be monitored in real time, such as the collection and judgment of voltage and current signals. It is necessary to pay attention to and ensure the stability of its operation at all times to meet the technical requirements of high stability and high safety. However, in the existing technology, various current signals and voltage signals are detected, and each data is processed and analyzed to determine whether the electrical engineering is abnormal, which requires large data calculation and complex calculation. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, the first object of the present invention is to propose an electrical engineering automation monitoring system, which performs calculations based on the detected current signal through a simple algorithm, avoids processing and analyzing each data, reduces the amount of data processing, reduces the calculation complexity, and improves the efficiency and accuracy of judging whether the electrical engineering is abnormal.

[0004] The second objective of the present invention is to provide an electrical engineering automation monitoring method.

[0005] To achieve the above object, a first embodiment of the present invention provides an electrical engineering automation monitoring system, comprising:

[0006] Acquisition module, used to collect current signals of electrical engineering;

[0007] A preprocessing module, used for preprocessing the current signal to obtain an effective current signal;

[0008] The first determination module is used to determine the loss value of the electrical engineering according to the effective current signal and compare it with the preset loss value; when it is determined that the loss value is greater than the preset loss value, an alarm prompt is issued;

[0009] The first determination module determines the loss value of the electrical engineering according to the effective current signal, including:

[0010]

[0011] in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle.

[0012] According to some embodiments of the present invention, the acquisition module includes:

[0013] A first acquisition module, used for traversing various electrical components included in the electrical engineering, and acquiring a first current signal of each electrical component;

[0014] A second acquisition module is used to traverse each branch composed of various electrical components included in the electrical engineering and collect the second current signal of each branch;

[0015] The second determination module is used to determine the current signal of the electrical engineering according to the first current signal of each electrical component and the second current signal of each branch.

[0016] According to some embodiments of the present invention, the preprocessing module includes:

[0017] An extraction module, used to determine a frequency spectrum corresponding to the current signal and extract spectral lines of the frequency spectrum;

[0018] The filtering module is used to obtain the peak value and valley value of each spectral line, calculate the average peak value and average valley value, query the preset average peak value-average valley value-filter coefficient table, determine the corresponding filter coefficient, and filter the current signal according to the filter coefficient to obtain an effective current signal.

[0019] According to some embodiments of the present invention, the system further includes: a third determining module, configured to:

[0020] Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch;

[0021] The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

[0022] According to some embodiments of the present invention, the third determination module extracts the electrical signal characteristics of each branch, including:

[0023] Performing frame processing on the second current signal to obtain a plurality of frame sub-second current signals;

[0024] Calculating electrical signal characteristics of corresponding branches according to the second current signals of the plurality of frames;

[0025]

[0026] in, is the electrical signal characteristic of the corresponding branch; is the power parameter of the effective signal in the second current signal; is the acquisition error coefficient of the second current signal; is the number of the sub-second current signals; For the The amplitude of the second current signal of the frame; for The average amplitude of the second current signal of the frame.

[0027] To achieve the above object, a second embodiment of the present invention provides an electrical engineering automation monitoring method, comprising:

[0028] Collect current signals for electrical engineering;

[0029] Preprocessing the current signal to obtain an effective current signal;

[0030] Determine the loss value of the electrical engineering according to the effective current signal and compare it with the preset loss value; when it is determined that the loss value is greater than the preset loss value, issue an alarm prompt;

[0031] Determine the loss value of electrical engineering based on the effective current signal, including:

[0032]

[0033] in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle.

[0034] According to some embodiments of the present invention, collecting a current signal of an electrical engineering project includes:

[0035] Traversing each electrical component included in the electrical engineering, and collecting a first current signal of each electrical component;

[0036] Traversing each branch composed of each electrical device included in the electrical engineering, and collecting the second current signal of each branch;

[0037] The current signal of the electrical engineering is determined according to the first current signal of each electrical device and the second current signal of each branch.

[0038] According to some embodiments of the present invention, the further comprising:

[0039] Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch;

[0040] The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

[0041] The present invention discloses an electrical engineering automation monitoring system and method. Based on the detected current signal, the current signal is preprocessed to obtain an effective current signal, and a simple algorithm is used to perform calculations. The loss value of the electrical engineering is determined according to the effective current signal, and compared with a preset loss value. When it is determined that the loss value is greater than the preset loss value, it indicates that the electrical engineering is abnormal, an alarm is issued, and timely processing is performed to avoid processing and analyzing each data, reduce the amount of data processing, reduce the calculation complexity, and improve the efficiency and accuracy of judging whether the electrical engineering is abnormal.

[0042] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0043] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0045] Figure 1is a block diagram of an electrical engineering automation monitoring system according to an embodiment of the present invention;

[0046] Figure 2 is a block diagram of a collection module according to an embodiment of the present invention;

[0047] Figure 3 The present invention is a flowchart of an electrical engineering automation monitoring method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0049] like Figure 1 As shown, the first embodiment of the present invention proposes an electrical engineering automation monitoring system, including:

[0050] Acquisition module, used to collect current signals of electrical engineering;

[0051] A preprocessing module, used for preprocessing the current signal to obtain an effective current signal;

[0052] The first determination module is used to determine the loss value of the electrical engineering according to the effective current signal and compare it with the preset loss value; when it is determined that the loss value is greater than the preset loss value, an alarm prompt is issued.

[0053] Working principle of the above technical solution: In this embodiment, the method for collecting current signals of electrical engineering includes: direct collection method: converting high current into small current signal through current transformer, and then converting it into measurable current signal through suitable amplification circuit. Sensor: Hall effect sensor and resistive sensor are common direct collection current sensors. Among them, Hall effect sensor has high accuracy and response speed, and will not affect the measurement circuit; resistive sensor has low measurement accuracy, but low cost. Isolation collection method: isolation technology is used between current sensor and measurement equipment to improve the safety and stability of the system. Isolation technology is optocoupler isolation: the photoelectric effect of optocoupler is used to realize signal transmission, which has the advantages of high isolation performance, high-speed transmission and low distortion. Magnetic coupling isolation: the signal isolation transmission is realized through magnetic field coupling, which has high isolation performance and low transmission loss. Converter collection method: the current signal is processed by frequency conversion technology, the current signal is converted into frequency signal, and then converted into digital signal for collection and processing. Shunt detection method: the shunt is essentially a precision resistor with a good temperature stability coefficient, and the current value is calculated by detecting the voltage across the resistor. Transformer sampling method: Use voltage transformer and current transformer to sample voltage signal and current signal on power line respectively. Hall element sampling method: Based on Hall effect, measure the current by detecting the magnetic field generated by the current.

[0054] In this embodiment, the effective current signal is the current signal after the noise signal is eliminated.

[0055] In this embodiment, the loss value of electrical engineering refers to the energy loss caused by various factors during the transmission and use of electric energy in electrical engineering. Resistance loss: When current passes through a conductor, heat energy is generated and power loss is caused due to the resistance of the conductor. This loss is proportional to the square of the current and proportional to the resistance of the conductor. Magnetic loss: In electromagnetic equipment such as transformers and motors, changes in the magnetic field can cause magnetization and eddy current losses of the iron core. These losses are related to the frequency of the magnetic field, the flux density and the characteristics of the core material. Dielectric loss: In insulating materials, the presence of an electric field can cause energy loss. This loss is related to the electric field strength, the characteristics of the medium and the frequency. Switching loss: In power electronic equipment, the conduction and shutdown process of the switching device will generate power loss. This loss is related to factors such as switching frequency, current, and voltage. Other losses: It also includes other forms of energy loss such as stray loss and radiation loss. Electrical engineering includes resistance loss, magnetic loss, dielectric loss, other losses, etc. during operation.

[0056] The beneficial effects of the above technical solution are as follows: based on the detected current signal, the current signal is preprocessed to obtain an effective current signal, and a simple algorithm is used to calculate, and the loss value of the electrical engineering is determined according to the effective current signal, and compared with the preset loss value; when it is determined that the loss value is greater than the preset loss value, it indicates that there is an abnormality in the electrical engineering, an alarm is issued, and timely processing is carried out to avoid processing and analysis of each data, reduce the amount of data processing, reduce the calculation complexity, and improve the efficiency and accuracy of judging whether the electrical engineering is abnormal.

[0057] like Figure 2 As shown, according to some embodiments of the present invention, the acquisition module includes:

[0058] A first acquisition module, used for traversing various electrical components included in the electrical engineering, and acquiring a first current signal of each electrical component;

[0059] A second acquisition module is used to traverse each branch composed of various electrical components included in the electrical engineering and collect the second current signal of each branch;

[0060] The second determination module is used to determine the current signal of the electrical engineering according to the first current signal of each electrical component and the second current signal of each branch.

[0061] According to some embodiments of the present invention, the preprocessing module includes:

[0062] An extraction module, used to determine a frequency spectrum corresponding to the current signal and extract spectral lines of the frequency spectrum;

[0063] The filtering module is used to obtain the peak value and valley value of each spectral line, calculate the average peak value and average valley value, query the preset average peak value-average valley value-filter coefficient table, determine the corresponding filter coefficient, and filter the current signal according to the filter coefficient to obtain an effective current signal.

[0064] Working principle of the above technical solution: In this embodiment, determining the frequency spectrum corresponding to the current signal and extracting the spectrum lines of the frequency spectrum include:

[0065] Convert the current signal from an analog signal to a digital signal based on an analog-to-digital converter (ADC);

[0066] Use digital signal processing (DSP) techniques to pre-process the signal;

[0067] Performing Fourier transform (FT) on the preprocessed digital current signal;

[0068] Using the results of Fourier transform, draw a spectrum graph;

[0069] Extract spectral lines in a spectrogram.

[0070] Preprocessing includes filtering, removing DC components, and normalization. Fourier transform is a method for converting time domain signals into frequency domain signals. In programming environments (such as MATLAB, Python, etc.), Fourier transform is performed through ready-made library functions. The spectrum graph shows the amplitude (or power) of different frequency components in the signal. On the spectrum graph, the horizontal axis represents frequency and the vertical axis represents amplitude or power.

[0071] Extracting spectral lines in the spectrum graph is specifically as follows: Identify local maxima in the spectrum graph, which correspond to the main frequency components in the signal. In order to exclude noise and minor frequency components, set an amplitude threshold. Only peaks exceeding this threshold are considered valid spectral lines, so the valid spectral lines are determined. For each valid spectral line, extract its corresponding frequency and amplitude (or power) value. In programming, use loops or array operations to traverse the spectrum data, and the spectral lines provide information about the different frequency components in the current signal.

[0072] In this embodiment, the peak value and valley value of each spectral line are obtained, and the average peak value and average valley value are calculated, and the preset average peak value-average valley value-filter coefficient table is queried to determine the corresponding filter coefficient, and the current signal is filtered according to the filter coefficient, so as to improve the accuracy of filtering the current signal and obtain an accurate effective current signal.

[0073] The beneficial effects of the above technical solution are: determining the spectrum diagram corresponding to the current signal, extracting the spectrum lines of the spectrum diagram, performing feature analysis on the spectrum lines, determining the corresponding filter coefficients, filtering the current signal according to the filter coefficients, and improving the accuracy of the filtering process.

[0074] According to some embodiments of the present invention, the first determination module determines the loss value of the electrical engineering according to the effective current signal, including:

[0075]

[0076] in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle.

[0077] The working principle and beneficial effects of the above technical solution: The loss value of the electrical engineering is the switching loss. Considering the loss value of the electrical engineering, the loss value during the operation of the electrical engineering, the voltage drop of the device of the electrical engineering, the average voltage drop between the electrical devices included in the electrical engineering, and other parameters, the loss value of the electrical engineering is accurately calculated. When calculating, the operation cycle of the electrical engineering is determined and divided into 6 time periods for statistical calculation.

[0078] According to some embodiments of the present invention, the system further includes: a third determining module, configured to:

[0079] Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch;

[0080] The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

[0081] Working principle of the above technical solution: In this embodiment, the second current signal of each branch included in the effective current signal is processed by signal discretization to obtain a discrete current signal, including:

[0082] Sampling and processing the second current signal of each branch included in the effective current signal;

[0083] The second current signal after the sampling process is quantized.

[0084] Sampling is the process of converting a continuous-time signal into a discrete-time signal. Choose a suitable sampling rate (i.e., the number of samples per second) to ensure that all important information in the signal can be captured. The sampling rate should be selected based on the highest frequency component of the signal and follow the Nyquist sampling theorem.

[0085] Quantization is the process of converting the sampled signal values ​​into digital values. This is done by selecting a quantization level, which is the number of digital values, and a quantization range, which is the maximum and minimum possible values ​​of the signal. The higher the quantization level, the higher the resolution of the signal, but the more storage space and processing power required. After sampling and quantization, a discrete current signal is obtained.

[0086] The discrete current signal is a series of digital values, representing the current value at each sampling moment. These digital values ​​can be arranged in time series to form a one-dimensional array or list.

[0087] In this embodiment, before the electrical signal features of each branch are input into the Gaussian mixture model, the extracted features are subjected to data standardization processing to ensure the stability and accuracy of the model. The data standardization processing of the extracted features is specifically: converting the feature values ​​into values ​​with a mean of 0 and a standard deviation of 1.

[0088] Gaussian mixture model (GMM) is established, including:

[0089] Select the number of Gaussian distributions based on the application scenario and the complexity of the data;

[0090] Randomly initialize the mean, covariance matrix, and weights of each Gaussian distribution;

[0091] The GMM is optimized by the EM algorithm, the probability of each electrical signal feature belonging to each Gaussian distribution is iteratively calculated, and the parameters of the Gaussian distribution are updated until the model converges or the predetermined number of iterations is reached;

[0092] After the model converges, the probability that the electrical signal feature of each branch belongs to each Gaussian distribution in the GMM is calculated;

[0093] Set a probability threshold;

[0094] If the probability that the electrical signal feature belongs to all Gaussian distributions is lower than the probability threshold, the corresponding branch is considered to be an abnormal branch.

[0095] The beneficial effects of the above technical solution are as follows: after determining that the electrical engineering is abnormal, based on analyzing the second current signals of each branch included in the effective current signal, the abnormal branch is determined and displayed, which facilitates rapid positioning of the abnormal branch and improves the maintenance rate.

[0096] According to some embodiments of the present invention, the third determination module extracts the electrical signal characteristics of each branch, including:

[0097] Performing frame processing on the second current signal to obtain a plurality of frame sub-second current signals;

[0098] Calculating electrical signal characteristics of corresponding branches according to the second current signals of the plurality of frames;

[0099]

[0100] in, is the electrical signal characteristic of the corresponding branch; is the power parameter of the effective signal in the second current signal; is the acquisition error coefficient of the second current signal; is the number of the sub-second current signals; For the The amplitude of the second current signal of the frame; for The average amplitude of the second current signal of the frame.

[0101] The working principle and beneficial effects of the above technical solution are as follows: the second current signal is framed to obtain several frames of sub-second current signals, and parameters such as the power parameter of the effective signal in the two current signals, the acquisition error coefficient, the number of sub-second current signals, the amplitude of the sub-second current signals and the average amplitude of the sub-second current signals are considered to facilitate accurate calculation of the electrical signal characteristics of the corresponding branch, thereby improving the accuracy of judging whether there is an abnormality based on the Gaussian mixture model.

[0102] like Figure 3 As shown, the second embodiment of the present invention proposes an electrical engineering automation monitoring method, including steps S1-S3:

[0103] S1, collect current signals of electrical engineering;

[0104] S2, preprocessing the current signal to obtain an effective current signal;

[0105] S3. Determine the loss value of the electrical engineering according to the effective current signal and compare it with the preset loss value; when it is determined that the loss value is greater than the preset loss value, issue an alarm.

[0106] The beneficial effects of the above technical solution are as follows: based on the detected current signal, the current signal is preprocessed to obtain an effective current signal, and a simple algorithm is used to calculate, and the loss value of the electrical engineering is determined according to the effective current signal, and compared with the preset loss value; when it is determined that the loss value is greater than the preset loss value, it indicates that there is an abnormality in the electrical engineering, an alarm is issued, and timely processing is carried out to avoid processing and analysis of each data, reduce the amount of data processing, reduce the calculation complexity, and improve the efficiency and accuracy of judging whether the electrical engineering is abnormal.

[0107] According to some embodiments of the present invention, collecting a current signal of an electrical engineering project includes:

[0108] Traversing each electrical component included in the electrical engineering, and collecting a first current signal of each electrical component;

[0109] Traversing each branch composed of each electrical device included in the electrical engineering, and collecting the second current signal of each branch;

[0110] The current signal of the electrical engineering is determined according to the first current signal of each electrical device and the second current signal of each branch.

[0111] According to some embodiments of the present invention, determining a loss value of electrical engineering according to an effective current signal includes:

[0112]

[0113] in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle.

[0114] The working principle and beneficial effects of the above technical solution: The loss value of the electrical engineering is the switching loss. Considering the loss value of the electrical engineering, the loss value during the operation of the electrical engineering, the voltage drop of the device of the electrical engineering, the average voltage drop between the electrical devices included in the electrical engineering, and other parameters, the loss value of the electrical engineering is accurately calculated. When calculating, the operation cycle of the electrical engineering is determined and divided into 6 time periods for statistical calculation.

[0115] According to some embodiments of the present invention, the further comprising:

[0116] Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch;

[0117] The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

[0118] The beneficial effects of the above technical solution are as follows: after determining that the electrical engineering is abnormal, based on analyzing the second current signals of each branch included in the effective current signal, the abnormal branch is determined and displayed, which facilitates rapid positioning of the abnormal branch and improves the maintenance rate.

[0119] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An electrical engineering automation monitoring system, characterized in that: include: Acquisition module, used to collect current signals of electrical engineering; A preprocessing module, used for preprocessing the current signal to obtain an effective current signal; A first determination module, used to determine the loss value of the electrical engineering according to the effective current signal, and compare it with a preset loss value; When it is determined that the loss value is greater than the preset loss value, an alarm prompt is issued; The first determination module determines the loss value of the electrical engineering according to the effective current signal, including: in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle; Acquisition module, including: A first acquisition module, used for traversing various electrical components included in the electrical engineering, and acquiring a first current signal of each electrical component; A second acquisition module is used to traverse each branch composed of various electrical components included in the electrical engineering and collect the second current signal of each branch; A second determination module, used to determine the current signal of the electrical engineering according to the first current signal of each electrical component and the second current signal of each branch; The preprocessing module comprises: An extraction module, used to determine a frequency spectrum corresponding to the current signal and extract spectral lines of the frequency spectrum; A filtering module is used to obtain the peak value and valley value of each spectral line, calculate the average peak value and average valley value, query a preset average peak value-average valley value-filter coefficient table, determine the corresponding filter coefficient, and filter the current signal according to the filter coefficient to obtain an effective current signal; The system further includes: a third determining module, configured to: Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch; The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

2. The electrical engineering automation monitoring system according to claim 1, characterized in that: The third determination module extracts the electrical signal characteristics of each branch, including: Performing frame processing on the second current signal to obtain a plurality of frame sub-second current signals; Calculating electrical signal characteristics of corresponding branches according to the second current signals of the plurality of frames; in, is the electrical signal characteristic of the corresponding branch; is the power parameter of the effective signal in the second current signal; is the acquisition error coefficient of the second current signal; is the number of the sub-second current signals; For the The amplitude of the second current signal of the frame; for The average amplitude of the second current signal in the frame.

3. An electrical engineering automation monitoring method, characterized in that: include: Collect current signals for electrical engineering; Preprocessing the current signal to obtain an effective current signal; Determine the loss value of the electrical engineering according to the effective current signal and compare it with the preset loss value; When it is determined that the loss value is greater than the preset loss value, an alarm prompt is issued; Determine the loss value of electrical engineering based on the effective current signal, including: in, is the loss value of electrical engineering; It is the loss value of turning on the electrical engineering, that is, the switching loss value; It is the loss value during the operation of electrical engineering, including resistance loss value, magnetic loss value and dielectric loss value; The voltage drop of a device that turns on electrical engineering; It is the average voltage drop between the electrical components included in electrical engineering; is the first current signal of each device in the effective current signal; The operation cycle of electrical engineering includes , , , , , and , respectively represent the first moment, the second moment, the third moment, the fourth moment, the fifth moment, the sixth moment and the seventh moment of the operation cycle; Collect current signals of electrical engineering, including: Traversing each electrical component included in the electrical engineering, and collecting a first current signal of each electrical component; Traversing each branch composed of each electrical device included in the electrical engineering, and collecting the second current signal of each branch; Determine the current signal of the electrical engineering according to the first current signal of each electrical component and the second current signal of each branch; Preprocess the current signal to obtain an effective current signal, including: Determine a frequency spectrum corresponding to the current signal, and extract spectral lines of the frequency spectrum; Obtain the peak value and valley value of each spectrum line, calculate the average peak value and average valley value, query the preset average peak value-average valley value-filter coefficient table, determine the corresponding filter coefficient, and filter the current signal according to the filter coefficient to obtain an effective current signal; Also includes: Performing signal discrete processing on the second current signal of each branch included in the effective current signal to obtain a discrete current signal, and extracting the electrical signal characteristics of each branch; The electrical signal characteristics of each branch are input into the Gaussian mixture model, and the abnormal branches are output and displayed.

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