Noise monitoring system, method and device

Abstract

The invention relates to a noise monitoring system, and the system comprises an acoustic-magnetic co-located probe and a signal processing device, the acoustic-magnetic co-located probe is connected with the signal processing device, the acoustic-magnetic co-located probe is used for collecting an acoustic signal of a transformer substation in a first preset frequency range and an electromagnetic signal of the transformer substation in a second preset frequency range; the signal processing equipment is used for analyzing the sound wave signal and the electromagnetic signal to obtain a signal monitoring result of each power equipment in the transformer substation; the signal monitoring result is used for determining the operation state of each power device. By adopting the method, the accuracy of a noise signal monitoring result can be improved, and the operation and maintenance effect of a substation is improved.

Description

Technical Field

[0001] The present application relates to the field of power monitoring technology, and in particular to a noise monitoring system, method and device. Background Art

[0002] Substations play an important role in the conversion and distribution of electric energy in the power system. By connecting power grids of various voltage levels through substations, electric energy can be distributed to different fields.

[0003] In the related art, during the operation of the substation, various equipment in the substation will generate high-frequency electromagnetic noise. By monitoring the noise signal of the substation, the status of the equipment in the substation is determined to provide protection for the safe operation of the substation.

[0004] However, the accuracy of noise signal monitoring results in related technologies is low, which affects the operation and maintenance effect of substations. Summary of the invention

[0005] Based on this, it is necessary to provide a noise monitoring system, method and device that can improve the accuracy of noise signal monitoring results and thereby improve the operation and maintenance effect of the substation in response to the above technical problems.

[0006] In a first aspect, the present application provides a noise monitoring system, which includes an acoustic-magnetic co-located probe and a signal processing device, wherein the acoustic-magnetic co-located probe is connected to the signal processing device:

[0007] An acoustic-magnetic co-located probe is used to collect acoustic signals within a first preset frequency range and electromagnetic signals within a second preset frequency range of the substation;

[0008] Signal processing equipment is used to analyze acoustic signals and electromagnetic signals to obtain signal monitoring results of various power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0009] In one embodiment, the acoustic-magnetic co-located probe includes: an electromagnetic sensor and an acoustic wave sensor; the electromagnetic sensor and the acoustic wave sensor are respectively arranged on planes where different diagonals of the substation are located;

[0010] An electromagnetic sensor for collecting acoustic wave signals of the substation within a first preset frequency range;

[0011] The acoustic wave sensor is used to collect electromagnetic signals of the substation within a second preset frequency range.

[0012] In one embodiment, the signal processing device includes: a device determination unit, a signal conditioning unit and a data processing unit; the device determination unit and the signal conditioning unit are both connected to the acoustic-magnetic co-positioned probe, and the data processing unit is connected to the signal conditioning unit;

[0013] A device determination unit, configured to extract features of the acoustic wave signal and the electromagnetic signal according to a plurality of preset signal analysis models, and determine at least one electrical device corresponding to the acoustic wave signal and the electromagnetic signal;

[0014] A signal conditioning unit, used for performing analog-to-digital conversion on the acoustic wave signals and electromagnetic signals of each electric device to obtain digital signals of each electric device; the digital signals include acoustic wave digital signals and electromagnetic digital signals;

[0015] The data processing unit is used to analyze the digital signals of each power device to obtain the signal monitoring results of each power device.

[0016] In one of the embodiments, the signal conditioning unit includes: a bandpass filter, an amplifier, and an analog-to-digital converter;

[0017] A bandpass filter is used to filter the acoustic wave signal and the electromagnetic signal of each power device to obtain an acoustic wave signal of a first target frequency and an electromagnetic signal of a second target frequency;

[0018] An amplifier, used to enhance the filtered acoustic wave signal to obtain an acoustic wave simulation signal, and enhance the filtered electromagnetic signal to obtain an electromagnetic simulation signal;

[0019] The analog-to-digital converter is used to perform analog-to-digital conversion on acoustic analog signals and electromagnetic analog signals to obtain digital signals of various power devices.

[0020] In one of the embodiments, the data processing unit further includes: a memory and a data exchange device;

[0021] A memory, used to store signal monitoring results of each power device;

[0022] Data exchange equipment is used to send the signal monitoring results of each power equipment to external equipment.

[0023] In one embodiment, the external device includes: a display screen and a data configuration device;

[0024] Display screen, used to display the signal monitoring results of each power equipment;

[0025] The data configuration device is used to adjust the monitoring parameters of the noise monitoring system in response to the parameter configuration instruction.

[0026] In one of the embodiments, the system further comprises: an anti-interference device;

[0027] Anti-interference equipment is used to shield environmental interference from noise monitoring equipment in the system.

[0028] In one of the embodiments, the system further comprises: a remote communication device;

[0029] The remote communication device is used to display the signal monitoring results in response to the data access instruction, and to display the operating status of each noise monitoring device in the system in response to the system status monitoring instruction.

[0030] In a second aspect, the present application also provides a noise monitoring method, the method comprising:

[0031] Acquire an acoustic signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range;

[0032] The acoustic wave signals and electromagnetic signals are analyzed to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0033] In a third aspect, the present application also provides a noise monitoring device, the device comprising:

[0034] A signal acquisition module, used to acquire an acoustic signal of the substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range;

[0035] The information analysis module is used to analyze the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0036] In a fourth aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method in any one of the embodiments of the first aspect are implemented.

[0037] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in any one of the embodiments of the first aspect above.

[0038] In a sixth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method in any one of the embodiments of the first aspect above.

[0039] The above-mentioned noise monitoring system, method and device, the noise monitoring system includes an acoustic and magnetic co-located probe and a signal processing device, the acoustic and magnetic co-located probe is connected to the signal processing device; the acoustic and magnetic co-located probe is used to collect the acoustic wave signal of the substation within the first preset frequency range and the electromagnetic signal within the second preset frequency range; the signal processing device is used to analyze the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment. In this system, the acoustic and magnetic co-located probe is used to monitor the acoustic wave signal and the electromagnetic signal of the substation respectively, and the acoustic wave signal and the electromagnetic signal are analyzed respectively to determine the power equipment in the substation that sends the above signal and the operating status of each power equipment. It is equivalent to separating the acoustic and electromagnetic noise in the substation, so that the monitored noise is more targeted and layered, and the analysis results determined in this way are also more real and effective, which can improve the accuracy of the noise signal monitoring results, and thus improve the operation and maintenance effect of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 A schematic diagram of the structure of a noise monitoring system in one embodiment;

[0042] Figure 2 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0043] Figure 3 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0044] Figure 4 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0045] Figure 5 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0046] Figure 6 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0047] Figure 7 is a structural schematic diagram of a noise monitoring system in another embodiment;

[0048] Figure 8 A schematic diagram of a noise monitoring method according to an embodiment of the present invention;

[0049] Fig. 9 is a structural block diagram of a noise monitoring device in one embodiment;

[0050] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of the present application; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and any variations thereof in the specification and claims of the present application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions. In the description of the embodiments of the present application, the technical terms "first", "second", "third", "fourth", etc. are only used to distinguish different objects, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present application, the meaning of "multiple" is more than two, unless otherwise clearly and specifically defined.

[0053] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0054] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "connection" should be understood in a broad sense, for example, it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0055] With the development of urban construction, electricity consumption has gradually increased, and the load on substations and high-voltage lines has increased. Among them, substations play an important role in the conversion and distribution of electric energy in the power system. By connecting power grids of various voltage levels through substations, electric energy can be distributed to different fields.

[0056] During the operation of the substation, a lot of noise will be generated, including acoustic noise and magnetic field noise. The above noise is an important indicator of the health and safety of the substation. Based on this, monitoring the noise of the substation is of great significance to the safe and stable operation of the substation.

[0057] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0058] In an exemplary embodiment, Figure 1 As shown, a noise monitoring system 01 is provided, which includes an acoustic-magnetic co-located probe 10 and a signal processing device 11, wherein the acoustic-magnetic co-located probe 10 is connected to the signal processing device 11; the acoustic-magnetic co-located probe 10 is used to collect acoustic signals within a first preset frequency range and electromagnetic signals within a second preset frequency range of the substation; the signal processing device 11 is used to analyze the acoustic signals and the electromagnetic signals to obtain signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0059] The acoustic and magnetic co-located probe 10 includes an independent acoustic sensor 102 and an electromagnetic sensor 101, which can simultaneously collect acoustic and electromagnetic signals in a working state. The signal processing device 11 includes an acoustic signal processing device 11 and an electromagnetic field signal processing device 11, which can simultaneously process acoustic and electromagnetic signals in a working state.

[0060] In the embodiment of the present application, the acoustic-magnetic co-located probe 10 is connected to the signal processing device 11, and the connection method can be cable connection, communication connection, etc., and there is no limitation on this, which means that the signal processing device 11 can be in other areas outside the substation or in the internal area of ​​the substation.

[0061] Optionally, in order to avoid noise interference between the signal processing device 11 and the acoustic and magnetic co-located probe 10, the acoustic and magnetic co-located probe 10 is communicatively connected to the signal processing device 11, the acoustic and magnetic co-located probe 10 is located in the substation area, and the signal processing device 11 is located outside the substation area, so as to improve the noise collection accuracy of the acoustic and magnetic co-located probe 10.

[0062] Figure 1In the example of cable connection, the acoustic and magnetic co-located probe 10 is connected to the signal processing device 11 by cable. The acoustic and magnetic co-located probe 10 is used to collect the sound noise and electromagnetic field noise emitted during the operation of each power equipment in the substation, and separate the sound wave signal of the first preset frequency from the sound noise, and separate the electromagnetic signal of the second preset frequency from the electromagnetic field noise, and perform preliminary filtering and separation of the substation noise. Then, the acoustic and magnetic co-located probe 10 sends the sound wave signal of the first preset frequency and the electromagnetic signal of the second preset frequency to the signal processing device 11 through the cable. The signal processing device 11 analyzes the received sound wave signal and electromagnetic signal to determine the power equipment that emits the above signals and the operation results of the power equipment.

[0063] Optionally, the signal processing device 11 analyzes the acoustic signal to determine a first list of electrical equipment, analyzes the electromagnetic signal to determine a second list of electrical equipment, and then determines the devices that are in both the first list of electrical equipment and the second list of electrical equipment as noise-emitting electrical equipment, and on this basis, determines the operating status of the electrical equipment according to the changing trends of the electromagnetic signal and the acoustic signal.

[0064] In the embodiment of the present application, the noise monitoring system 01 includes an acoustic and magnetic co-located probe 10 and a signal processing device 11, and the acoustic and magnetic co-located probe 10 is connected to the signal processing device 11; the acoustic and magnetic co-located probe 10 is used to collect the acoustic wave signal within the first preset frequency range and the electromagnetic signal within the second preset frequency range of the substation; the signal processing device 11 is used to analyze the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring result of each power equipment in the substation; the signal monitoring result is used to determine the operating status of each power equipment. In this system, the acoustic and magnetic co-located probe 10 is used to monitor the acoustic wave signal and the electromagnetic signal of the substation respectively, and the acoustic wave signal and the electromagnetic signal are analyzed respectively to determine the power equipment in the substation that sends the above signal and the operating status of each power equipment. It is equivalent to separating the acoustic and electromagnetic noise in the substation, so that the monitored noise is more targeted and layered, and the analysis result determined in this way is also more real and effective, which can improve the accuracy of the noise signal monitoring result, and thus improve the operation and maintenance effect of the substation.

[0065] As can be seen from the above embodiments, the acoustic and magnetic co-located probe 10 provides the signal processing device 11 with acoustic wave signals and electromagnetic signals for analysis by the signal processing device 11. Next, the acquisition position of the acoustic and magnetic co-located probe 10 is described.

[0066] In an exemplary embodiment, Figure 2As shown, the acoustic-magnetic co-located probe 10 includes: an electromagnetic sensor 101 and an acoustic wave sensor 102; the electromagnetic sensor 101 and the acoustic wave sensor 102 are respectively arranged on planes where different diagonals of the substation are located; the electromagnetic sensor 101 is used to collect acoustic wave signals of the substation within a first preset frequency range; the acoustic wave sensor 102 is used to collect electromagnetic signals of the substation within a second preset frequency range.

[0067] A plurality of acoustic and magnetic co-located probes 10 are evenly arranged on the planes where different diagonals of the substation are located, and each acoustic and magnetic co-located probe 10 includes an independent electromagnetic sensor 101 and an acoustic wave sensor 102. In this way, the acoustic wave sensors 102 on the planes where different diagonals of the substation are located can collect acoustic wave signals within the first preset frequency range of the area to which they belong, and the electromagnetic sensors 101 on the planes where different diagonals of the substation are located can collect electromagnetic signals within the second preset frequency range of the area to which they belong.

[0068] In an embodiment of the present application, electromagnetic sensors 101 and acoustic wave sensors 102 are arranged on planes where different diagonals of the substation are located, so that the substation noise collected by the electromagnetic sensors 101 and the acoustic wave sensors 102 is more comprehensive and accurate, and the signal provided to the signal processing device 11 is more reliable and true, thereby improving the accuracy of the processing result of the signal processing device 11.

[0069] Next, the processing steps of the signal processing unit 113 on the signal collected by the acousto-magnetic co-located probe 10 are described.

[0070] In an exemplary embodiment, Figure 3 As shown, the signal processing device 11 includes: a device determination unit 111, a signal conditioning unit 112 and a data processing unit; the device determination unit 111 and the signal conditioning unit 112 are both connected to the acoustic-magnetic co-located probe 10, and the data processing unit is connected to the signal conditioning unit 112; the device determination unit 111 is used to extract the characteristics of the acoustic signal and the electromagnetic signal according to a plurality of preset signal analysis models, and determine at least one power device corresponding to the acoustic signal and the electromagnetic signal; the signal conditioning unit 112 is used to perform analog-to-digital conversion on the acoustic signal and the electromagnetic signal of each power device to obtain a digital signal of each power device; the digital signal includes an acoustic digital signal and an electromagnetic digital signal; the data processing unit is used to analyze the digital signal of each power device to obtain a signal monitoring result of each power device.

[0071] Figure 3 In the embodiment, the device determination unit 111 is connected to the acoustic-magnetic co-located probe 10 and is used to analyze the signal collected by the acoustic-magnetic co-located probe 10 to determine the power device that emits the noise.

[0072] Optionally, the device determination unit 111 includes multiple pre-trained signal analysis models, and the signals collected by the acoustic-magnetic co-located probe 10 are input into different signal analysis models. Signal features are extracted through each signal analysis model to obtain candidate power devices output by each signal analysis model. The candidate power device with the highest occurrence frequency is then determined as the power device that generates noise, or multiple power devices with an occurrence frequency greater than a preset frequency threshold are determined as power devices that generate noise.

[0073] In practical applications, before the signal analysis model in the signal processing device 11 performs signal analysis, the signal collected by the acoustic-magnetic co-located probe 10 can also be preprocessed, including but not limited to denoising, normalization, segmentation, etc., to meet the input requirements of the signal analysis model.

[0074] Next, the training process of the signal analysis model is explained: using the preprocessed signal analysis model, adjusting the network parameters, and using the back-propagation algorithm to optimize the loss function; then, performing model evaluation and verification: evaluating the performance of the model on an independent test set, using appropriate evaluation indicators such as positioning accuracy, recall rate, etc.; then performing model optimization: adjusting and optimizing the model based on the evaluation results, which may include adjusting the network structure, hyperparameter tuning, etc.

[0075] In the embodiments of the present application, an integrated learning method, such as bagging or boosting, is used to combine the prediction results of multiple signal analysis models to improve positioning accuracy. End-to-end training: An end-to-end training process is implemented, from the original signal directly to the positioning result, reducing the errors that may be caused by the intermediate steps.

[0076] Continue to see Figure 3 The signal conditioning unit 112 is connected to the acoustic-magnetic co-located probe 10 and the device determination unit 111 respectively. The signal conditioning unit 112 determines the power equipment of the signal (acoustic signal and electromagnetic signal) collected by the acoustic-magnetic co-located probe 10 through the power equipment determined by the device determination unit 111. On this basis, the format of the acoustic wave signal and the electromagnetic signal of each power equipment is further converted from an analog signal to a digital signal to obtain the digital signal of each power equipment, so that the subsequent data processing unit can analyze the digital signal of each power equipment and quickly and accurately obtain the signal monitoring result of each power equipment.

[0077] The signal analysis methods of the data processing unit include but are not limited to the following:

[0078] Filtering: Used to remove noise from high-frequency electromagnetic noise signals or extract specific frequency components, such as low-pass filters, high-pass filters, band-pass filters, and band-stop filters.

[0079] Fourier Transform (FT): Converts the filtered signal from the time domain to the frequency domain for frequency analysis.

[0080] Wavelet Transform (WT): It is used to analyze the local characteristics of signals in the frequency domain and is suitable for non-stationary signal analysis.

[0081] Adaptive Filtering: Automatically adjusts filter coefficients according to the characteristics of the wavelet transformed signal, such as Wiener filter and minimum mean square error (LMS) algorithm.

[0082] Time-Frequency Analysis: Combines time and frequency information, such as Short-Time Fourier Transform (STFT).

[0083] Spectral Estimation: Estimate the power spectral density of a noise signal, such as the periodogram method and the covariance method.

[0084] Signal Detection: Determine whether a particular pattern or event exists in a signal based on its power spectral density, such as a matched filter.

[0085] Parameter Estimation: Estimate the parameters in the noise signal, such as frequency, amplitude, phase, etc.

[0086] Signal Prediction: Predicting the future value of a noisy signal, such as the autoregressive (AR) model.

[0087] Signal Synchronization: Ensures that the received signal is synchronized with the locally generated reference signal, such as frame synchronization and clock synchronization.

[0088] Modulation and Demodulation: In communications systems, converting information signals into a form suitable for transmission (modulation) and recovering the original information from received signals (demodulation).

[0089] Channel Coding and Decoding: Add redundancy to improve the transmission reliability of signals in noisy channels.

[0090] Signal Enhancement: Improving the signal-to-noise ratio of a noisy signal, such as using adaptive filters or beamforming techniques.

[0091] Feature Extraction: Extract useful features from noisy signals for classification, recognition or other analysis.

[0092] Machine Learning Algorithms: Use data-driven methods to identify signal patterns or make predictions.

[0093] In one scenario, partial discharge is a common substation fault phenomenon that generates high-frequency electromagnetic noise signals. The signal may show intermittent pulse characteristics, and the spectrum is mainly concentrated in a certain frequency range. By analyzing the time domain waveform and spectrum of the signal, the type, location and severity of partial discharge can be determined to guide subsequent maintenance and repair work.

[0094] For example, insulation damage usually leads to partial discharge, generating high-frequency electromagnetic noise signals. These signals may present irregular pulse waveforms, high frequency, and large amplitude. By analyzing the spectral characteristics and amplitude changes of the signal, the location of the insulation damage can be located and further checked and confirmed.

[0095] In the embodiment of the present application, the device determination unit 111 calls multiple preset signal analysis models to extract the characteristics of the acoustic signal and the electromagnetic signal, so that the determined electrical equipment integrates the processing results of multiple signal analysis models, and has accuracy and objectivity; the signal conditioning unit 112 performs analog-to-digital conversion on the acoustic signal and electromagnetic signal of each electrical equipment to obtain the digital signal of each electrical equipment, so that the data processing unit can analyze the digital signal of each electrical equipment, obtain the signal monitoring result of each electrical equipment, and improve the analysis efficiency.

[0096] In an exemplary embodiment, see Figure 4 The signal conditioning unit 112 includes: a bandpass filter 112a, an amplifier 112b and an analog-to-digital converter 112c; the bandpass filter 112a is used to filter the acoustic wave signal and the electromagnetic signal of each power device to obtain the acoustic wave signal of the first target frequency and the electromagnetic signal of the second target frequency; the amplifier 112b is used to enhance the filtered acoustic wave signal to obtain the acoustic wave analog signal, and enhance the filtered electromagnetic signal to obtain the electromagnetic analog signal; the analog-to-digital converter 112c is used to perform analog-to-digital conversion on the acoustic wave analog signal and the electromagnetic analog signal to obtain the digital signal of each power device.

[0097] The bandpass filter 112a is used to filter the signal outside the preset frequency according to the signal frequency to obtain the target signal within the preset frequency range. The filtering parameters in the bandpass filter 112a in this embodiment include acoustic wave filtering parameters and magnetic field filtering parameters, and the filtering parameters are determined according to the acoustic wave / electromagnetic wave characteristics of the signal.

[0098] In practical applications, the acoustic wave signal is filtered by the acoustic wave filtering parameters in the bandpass filter 112a to obtain an acoustic wave signal of the first target frequency, the filtered acoustic wave signal is enhanced by the amplifier 112b to obtain an acoustic wave analog signal, and finally the acoustic wave analog signal is digitized by the analog-to-digital converter 112c to obtain an acoustic wave digital signal.

[0099] The electromagnetic signal is filtered by the magnetic field filtering parameters in the bandpass filter 112a to obtain an electromagnetic signal of the second target frequency, the filtered electromagnetic signal is enhanced by the amplifier 112b to obtain an electromagnetic analog signal, and finally the electromagnetic analog signal is digitized by the analog-to-digital converter 112c to obtain an electromagnetic digital signal.

[0100] In the embodiment of the present application, the interference noise in the acoustic wave signal and the electromagnetic signal collected by the acoustic-magnetic co-located probe 10 is removed through the filtering operation of the bandpass filter 112a, and then the effective signal is enhanced by the amplifier 112b to improve the signal effectiveness. Finally, the enhanced analog signal is digitized by the analog-to-digital converter 112c to provide a true and accurate digital signal for subsequent signal analysis and processing.

[0101] Next, the internal structure and working principle of the digital processing unit in the above embodiment are further described. In an exemplary embodiment, Figure 5 As shown, the data processing unit further includes: a memory 113a and a data exchange device 113b; the memory 113a is used to store the signal monitoring results of each power device; the data exchange device 113b is used to send the signal monitoring results of each power device to an external device.

[0102] In addition to analyzing the digital signals of each power device and obtaining the signal monitoring results of each power device, the digital processing unit can also further display and share the signal monitoring results to facilitate timely operation and maintenance of power equipment in abnormal conditions, status tracing of power equipment, etc.

[0103] Figure 5 In the embodiment, the digital processing unit further includes a memory 113a, so as to store and analyze the signal monitoring results of each power device, and send the signal monitoring results and analysis results stored in the memory 113a to an external device through a digital switching device in the digital processing unit.

[0104] In the embodiment of the present application, the digital processing unit is integrated with a memory 113a and a digital exchange unit, which is equivalent to integrating digital signal processing, analysis result storage and analysis result sharing functions into the same module, which is convenient for deployment in the noise monitoring system 01 in various scenarios and improves the scenario applicability of the noise monitoring system 01.

[0105] Next, the architecture and functions of the external devices in the aforementioned embodiments are described.

[0106] In an exemplary embodiment, Figure 6 As shown, the external device includes: a display screen 121 and a data configuration device 122; the display screen 121 is used to display the signal monitoring results of each power device; the data configuration device 122 is used to adjust the monitoring parameters of the noise monitoring system 01 in response to the parameter configuration instruction.

[0107] Figure 6 In the embodiment, the external device includes a display screen 121 and a data configuration device 122. The display screen 121 is connected to a digital exchange unit in the digital processing unit and is used to obtain and display the signal monitoring results stored in the data exchange unit for viewing by the staff of the substation.

[0108] In addition, the external device also includes a data configuration device 122, which provides a parameter editing interface, so that the user can trigger the parameter configuration instruction according to the actual monitoring needs, and the system responds to the instruction, displays the parameter editing interface, and adjusts the monitoring parameters in the noise monitoring system 01 according to the parameters entered in the parameter editing interface. The monitoring parameters include but are not limited to the upper and lower limits of the first frequency range; the upper and lower limits of the second frequency range; the filtering parameters, the model parameters of the signal analysis model, and the like.

[0109] In the embodiment of the present application, the signal monitoring results of each power device are displayed intuitively and clearly through the display screen 121, so that the staff of the substation can timely perceive the operating status of the power equipment and perform operation and maintenance of the power equipment in a timely manner. The monitoring parameters in the entire noise monitoring system 01 are flexibly adjusted through the parameter editing interface provided by the data configuration device 122 to adapt to different monitoring needs and improve the scenario applicability of the noise monitoring system 01.

[0110] In an exemplary embodiment, the system further includes: an anti-interference device; the anti-interference device is used to shield the environmental interference of the noise monitoring device in the system.

[0111] The noise monitoring equipment is each device in the noise monitoring system 01, such as the acoustic and magnetic co-located probe 10, the display screen 121, the bandpass filter 112a, the amplifier 112b, the analog-to-digital converter 112c, etc. The anti-interference equipment is arranged outside each noise monitoring device in the noise monitoring system 01 to prevent the working state of the noise monitoring device from being disturbed by the environment, improve the water resistance, dust resistance, anti-electromagnetic interference characteristics, heat resistance, cold resistance, etc. of the noise monitoring system 01, ensure that the noise monitoring system 01 operates in a constant temperature and humidity working environment, and improve the monitoring effect.

[0112] In the embodiment of the present application, the interference of the external environment in the noise monitoring system 01 is shielded by anti-interference equipment, so that the noise monitoring system 01 can operate in a stable working environment to monitor real and effective noise, thereby improving the monitoring effect of the noise monitoring system 01.

[0113] In an exemplary embodiment, Figure 7 As shown, the system further includes: a remote communication device 13; the remote communication device 13 is used to display the signal monitoring result in response to the data access instruction, and to display the operating status of each noise monitoring device in the system in response to the system status monitoring instruction.

[0114] The remote communication device 13 is connected to each monitoring device in the noise monitoring system 01 for communication, provides a remote communication interface, receives different instructions triggered for the noise monitoring system 01, and displays the content corresponding to the instructions.

[0115] Optionally, in response to the data access instruction, the signal monitoring result is pulled from the memory 113a and displayed on the remote communication interface.

[0116] Optionally, in response to the system status monitoring instruction, the operating status of each noise monitoring device is obtained, and the operating status of each noise monitoring device is displayed on the remote communication interface.

[0117] In an embodiment of the present application, through the remote communication interface provided by the remote communication device, in response to different instructions, the content corresponding to different instructions is remotely displayed, supporting remote operation of the noise monitoring system, alleviating the restrictions of the environment on the noise monitoring system to a certain extent, and improving the scenario applicability of the noise monitoring system.

[0118] In an exemplary embodiment, the system further includes: a power management unit, which provides a stable power supply for the system and provides protection when the power supply is unstable.

[0119] The above embodiments have described in detail the structure and function of the noise monitoring system. The noise monitoring method is described below. It should be noted that the noise monitoring method described below can be applied to a computer device, which can be a processor in the above noise monitoring system, or a separate server, server cluster, etc. The following example is given with the execution subject being a computer device.

[0120] In an exemplary embodiment, Figure 8 As shown, the present application also provides a noise monitoring method, the method comprising:

[0121] S801, obtaining a sound wave signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range.

[0122] Optionally, the computer device collects online the acoustic wave signals within the first preset frequency range and the electromagnetic signals within the second preset frequency range from the signal collection device.

[0123] Optionally, the acoustic wave signals and electromagnetic signals in the substation are pre-stored in a database, and the database stores working signals of multiple substations. In this case, the computer device can respond to the noise monitoring instruction and extract the acoustic wave signals and electromagnetic signals of the substation from the database offline according to the substation identifier carried in the noise monitoring instruction.

[0124] S802, analyzing the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring result of each power device in the substation; the signal monitoring result is used to determine the operating status of each power device.

[0125] First, multiple different signal processing models are called to analyze the acoustic signals and electromagnetic signals to determine the candidate power equipment. Then, the candidate power equipment that meets the frequency requirements is determined as the noise-emitting power equipment in the substation. The acoustic signals and electromagnetic signals of each power equipment are then filtered, amplified, and analog-to-digital converted to obtain the signal monitoring results of each power equipment.

[0126] In actual application scenarios, the state prediction model can be used to predict the state of the signal monitoring results of each power device to obtain the operating state of each power device. The signal monitoring results of each power device can also be displayed to the operation and maintenance personnel, who can judge the signal monitoring results based on experience and obtain the operating state of each power device.

[0127] In the embodiment of the present application, the acoustic signal of the substation within the first preset frequency range and the electromagnetic signal within the second preset frequency range are obtained, and the acoustic signal and the electromagnetic signal are analyzed to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment. This is equivalent to separating the acoustic and electromagnetic noise in the substation, making the monitored noise more targeted and layered, and the analysis results determined in this way are more real and effective, which can improve the accuracy of the noise signal monitoring results, and thus improve the operation and maintenance effect of the substation.

[0128] Based on the same inventive concept, the embodiment of the present application also provides a noise monitoring device for implementing the noise monitoring method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more noise monitoring device embodiments provided below can refer to the limitations of the noise monitoring method above, and will not be repeated here.

[0129] In an exemplary embodiment, Fig. 9 As shown, a noise monitoring device is provided, including: a signal acquisition module 901 and an information analysis module 902, wherein:

[0130] The signal acquisition module 901 is used to acquire the acoustic signal of the substation within a first preset frequency range and the electromagnetic signal within a second preset frequency range;

[0131] The information analysis module 902 is used to analyze the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring result of each power device in the substation; the signal monitoring result is used to determine the operating status of each power device.

[0132] Each module in the above noise monitoring device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module.

[0133] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0134] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.10 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store noise monitoring data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a noise monitoring method is implemented.

[0135] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0136] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0137] Acquire an acoustic signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range;

[0138] The acoustic wave signals and electromagnetic signals are analyzed to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0139] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0140] Acquire an acoustic signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range;

[0141] The acoustic wave signals and electromagnetic signals are analyzed to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0142] In an exemplary embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0143] Acquire an acoustic signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range;

[0144] The acoustic wave signals and electromagnetic signals are analyzed to obtain the signal monitoring results of each power equipment in the substation; the signal monitoring results are used to determine the operating status of each power equipment.

[0145] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0146] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0147] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0148] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A noise monitoring system, characterized in that: The system comprises an acoustic-magnetic co-positioned probe and a signal processing device, wherein the acoustic-magnetic co-positioned probe is connected to the signal processing device; The acoustic-magnetic co-located probe is used to collect acoustic signals within a first preset frequency range and electromagnetic signals within a second preset frequency range of the substation; The signal processing device is used to analyze the acoustic wave signal and the electromagnetic signal to obtain signal monitoring results of each power device in the substation; the signal monitoring results are used to determine the operating status of each power device.

2. The system according to claim 1, characterized in that The acoustic-magnetic co-located probe comprises: an electromagnetic sensor and an acoustic wave sensor; the electromagnetic sensor and the acoustic wave sensor are respectively arranged on planes where different diagonals of the substation are located; The electromagnetic sensor is used to collect the acoustic wave signal of the substation within the first preset frequency range; The acoustic wave sensor is used to collect electromagnetic signals of the substation within the second preset frequency range.

3. The system according to claim 1 or 2, characterized in that: The signal processing device comprises: a device determination unit, a signal conditioning unit and a data processing unit; the device determination unit and the signal conditioning unit are both connected to the acoustic-magnetic co-positioned probe, and the data processing unit is connected to the signal conditioning unit; The device determination unit is used to extract the characteristics of the acoustic wave signal and the electromagnetic signal according to a plurality of preset signal analysis models, and determine at least one power device corresponding to the acoustic wave signal and the electromagnetic signal; The signal conditioning unit is used to perform analog-to-digital conversion on the acoustic wave signal and electromagnetic signal of each of the electric devices to obtain a digital signal of each of the electric devices; the digital signal includes an acoustic wave digital signal and an electromagnetic digital signal; The data processing unit is used to analyze the digital signals of each of the electric power devices to obtain the signal monitoring results of each of the electric power devices.

4. The system according to claim 3, characterized in that The signal conditioning unit comprises: a bandpass filter, an amplifier and an analog-to-digital converter; The bandpass filter is used to filter the acoustic wave signal and the electromagnetic signal of each of the electric power devices to obtain the acoustic wave signal of the first target frequency and the electromagnetic signal of the second target frequency; The amplifier is used to enhance the filtered acoustic wave signal to obtain an acoustic wave simulation signal, and enhance the filtered electromagnetic signal to obtain an electromagnetic simulation signal; The analog-to-digital converter is used to perform analog-to-digital conversion on the acoustic wave analog signal and the electromagnetic analog signal to obtain digital signals of each of the electric power devices.

5. The system according to claim 3, characterized in that The data processing unit further includes: a memory and a data exchange device; The memory is used to store the signal monitoring results of each of the electric power devices; The data exchange device is used to send the signal monitoring results of each of the electric power devices to an external device.

6. The system according to claim 5, characterized in that The external devices include: a display screen and a data configuration device; The display screen is used to display the signal monitoring results of each of the electric power equipment; The data configuration device is used to adjust the monitoring parameters of the noise monitoring system in response to the parameter configuration instruction.

7. The system according to claim 1 or 2, characterized in that: The system also includes: anti-interference equipment; The anti-interference device is used to shield the environmental interference of the noise monitoring device in the system.

8. The system according to claim 1 or 2, characterized in that: The system further comprises: a remote communication device; The remote communication device is used to display the signal monitoring result in response to a data access instruction, and to display the operating status of each noise monitoring device in the system in response to a system status monitoring instruction.

9. A noise monitoring method, characterized in that: The method comprises: Acquire an acoustic signal of a substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range; The acoustic wave signal and the electromagnetic signal are analyzed to obtain signal monitoring results of each power device in the substation; the signal monitoring results are used to determine the operating status of each power device.

10. A noise monitoring device, characterized in that: The device comprises: A signal acquisition module, used to acquire an acoustic signal of the substation within a first preset frequency range and an electromagnetic signal within a second preset frequency range; The information analysis module is used to analyze the acoustic wave signal and the electromagnetic signal to obtain the signal monitoring results of each power device in the substation; the signal monitoring results are used to determine the operating status of each power device.

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