Power line carrier noise testing apparatus, method, device and storage medium

By combining a wide-band and narrow-band separation module, a noise identification module, and an edge-end collaboration module, the problem of low data processing efficiency in traditional power line carrier noise testing devices is solved, achieving efficient noise analysis and improved accuracy.

CN116032324BActive Publication Date: 2026-01-23GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202211742168.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-29
Publication Date
2026-01-23
Estimated Expiration
2042-12-29

AI Technical Summary

Technical Problem

Traditional power line carrier noise testing devices suffer from low data processing efficiency, especially when processing massive amounts of data, resulting in network congestion and significant transmission delays.

Method used

By employing a wide-band and narrow-band separation module, a noise identification module, a time-frequency analysis module, and an edge-end collaboration module, and through local noise analysis and collaborative processing with an edge server, efficient separation and analysis of noise signals can be achieved.

Benefits of technology

It improves the efficiency and accuracy of noise analysis, reduces network latency, makes full use of edge computing resources, and enhances noise analysis performance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a power line carrier noise testing device, method, equipment and storage medium, wherein a noise recognition module is used to send a noise signal to a time-frequency analysis module when the matching degree is greater than a preset value according to a noise self-dictionary, and to send the noise signal to an edge-end cooperation module when the matching degree is not greater than the preset value, so as to select a noise signal processing strategy; the time-frequency analysis module performs local noise analysis on the noise signal based on a preset noise dictionary, so as to effectively solve the efficiency problem caused by network delay, improve noise analysis efficiency, and meanwhile, based on the analysis of the preset noise dictionary with high matching degree, the accuracy of noise analysis can be effectively improved; the edge-end cooperation module allocates an edge server for the noise signal and sends the noise signal to the edge server for noise analysis, so as to fully improve the utilization efficiency of edge-end cooperative computing resources and noise characteristic resources and effectively improve the noise analysis performance of the edge server.
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Description

Technical Field

[0001] This application relates to the field of power line carrier communication technology, and in particular to a method, apparatus, device and storage medium for testing power line carrier noise. Background Technology

[0002] With the construction of new power systems, distributed photovoltaics, energy storage, and charging piles are being connected to low-voltage distribution networks on a large scale, introducing noise signals generated by various power electronic devices. In order to accurately estimate the power line carrier communication environment, it is necessary to obtain the time-frequency characteristics and distribution of noise in the power line channel through wide and narrow band coupled carrier noise testing technology.

[0003] Traditional wide- and narrow-band coupled carrier noise testing devices and methods use high-speed acquisition cards to upload the acquired noise data to cloud servers for noise distribution and time-frequency characteristic analysis, which causes network congestion and large transmission delays, making it difficult to process massive amounts of data. Summary of the Invention

[0004] This application provides a testing apparatus, method, device, and storage medium for power line carrier noise, in order to solve the technical problem of low data processing efficiency in traditional carrier noise testing apparatuses.

[0005] To address the aforementioned technical problems, in a first aspect, this application provides a power line carrier noise testing apparatus, comprising:

[0006] The wideband and narrowband separation module is used to decouple wideband and narrowband coupled power line carrier signals to obtain wideband carrier signals and narrowband carrier signals;

[0007] A wideband and narrowband noise separation module is used to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band, wherein the noise signals include wideband noise signals and narrowband noise signals;

[0008] The noise identification module is used to match the noise signal with a preset signal in a preset noise dictionary. If the matching degree is greater than a preset value, the noise signal is sent to the time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to the edge collaboration module.

[0009] The time-frequency analysis module is used to perform local noise analysis on the noise signal based on the preset noise dictionary;

[0010] The edge-to-edge collaboration module is used to assign the noise signal to an edge server and send the noise signal to the edge server for noise analysis.

[0011] In some implementations, the time-frequency analysis module is specifically used for:

[0012] Based on the prior noise knowledge and empirical time-frequency characteristics in the preset noise dictionary, local noise analysis is performed on the noise signal to generate the distribution and time-frequency characteristics of the broadband noise signal, as well as the distribution and time-frequency characteristics of the narrowband noise signal.

[0013] In some implementations, the edge collaboration module is further used for:

[0014] The noise analysis results obtained by the edge server after performing noise analysis on the noise signal are received, and the preset noise dictionary is updated based on the noise analysis results.

[0015] In some implementations, the wideband / narrowband separation module is specifically used for:

[0016] The wideband and narrowband coupled power line carrier signals are separated by using a high-pass filter and a low-pass filter to obtain the wideband carrier signal and the narrowband carrier signal.

[0017] In some implementations, the testing apparatus further includes:

[0018] A wideband and narrowband signal isolation module is used to filter noise outside the measurement frequency band of the wideband carrier signal and the narrowband carrier signal through a bandpass filter to obtain the target frequency band.

[0019] In some implementations, the testing apparatus further includes:

[0020] The high-speed acquisition card module is used to acquire the voltage signal corresponding to the noise signal through the high-speed acquisition card, and convert the voltage signal into a digital signal, which is used as the input of the noise identification module.

[0021] Secondly, this application also provides a method for testing power line carrier noise, applied to the power line carrier noise testing apparatus described in the first aspect, the method comprising:

[0022] A wideband and narrowband coupling power line carrier signal is decoupled using a wideband and narrowband separation module to obtain a wideband carrier signal and a narrowband carrier signal;

[0023] A wideband and narrowband noise separation module is used to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band, wherein the noise signals include wideband noise signals and narrowband noise signals;

[0024] The noise signal is matched with a preset signal in a preset noise dictionary using a noise identification module. If the matching degree is greater than a preset value, the noise signal is sent to a time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to an edge-to-edge collaboration module.

[0025] The noise signal is analyzed locally using the time-frequency analysis module based on the preset noise dictionary;

[0026] The noise signal is assigned to an edge server using the edge-end collaboration module, and the noise signal is sent to the edge server for noise analysis.

[0027] In some implementations, the testing method further includes:

[0028] The edge collaboration module receives the noise analysis results obtained by the edge server after performing noise analysis on the noise signal, and updates the preset noise dictionary based on the noise analysis results.

[0029] Thirdly, this application also provides a computer device, including a processor and a memory, the memory being used to store a computer program, which, when executed by the processor, implements the power line carrier noise testing method as described in the second aspect.

[0030] Fourthly, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the power line carrier noise testing method as described in the second aspect.

[0031] Compared with the prior art, this application has at least the following beneficial effects:

[0032] This invention provides a power line carrier noise testing device. A noise identification module, based on a noise dictionary, sends the noise signal to a time-frequency analysis module when the matching degree is greater than a preset value, and sends it to an edge-end collaboration module when the matching degree is not greater than the preset value, thus selecting a noise signal processing strategy. The time-frequency analysis module performs local noise analysis on the noise signal based on the preset noise dictionary, effectively solving the efficiency problem caused by network latency and improving noise analysis efficiency. Furthermore, analysis based on a preset noise dictionary with high matching degree effectively improves the accuracy of noise analysis. The edge-end collaboration module allocates an edge server to the noise signal and sends it to the edge server for noise analysis, thereby fully improving the utilization efficiency of edge-end collaborative computing resources and noise feature resources, and effectively enhancing the noise analysis performance of the edge server. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the structure of a power line carrier noise testing device according to an embodiment of this application;

[0034] Figure 2 This is a schematic diagram of the structure of a power line carrier noise testing device according to another embodiment of this application;

[0035] Figure 3 This is a schematic flowchart illustrating a power line carrier noise testing method according to an embodiment of this application;

[0036] Figure 4 This is a schematic diagram of the structure of a computer device shown in an embodiment of this application. Detailed Implementation

[0037] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0038] Please refer to Figure 1 , Figure 1 This is a schematic diagram of a power line carrier noise testing device provided in an embodiment of this application. The power line carrier noise testing device of this embodiment can be integrated into a computer device, including but not limited to smartphones, laptops, tablets, desktop computers, physical servers, and cloud servers. Figure 1 As shown, the power line carrier noise testing apparatus of this embodiment includes:

[0039] The wideband and narrowband separation module 101 is used to decouple the wideband and narrowband coupled power line carrier signals to obtain wideband carrier signals and narrowband carrier signals;

[0040] The wideband and narrowband noise separation module 102 is used to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band, wherein the noise signals include wideband noise signals and narrowband noise signals.

[0041] The noise identification module 103 is used to match the noise signal with a preset signal in a preset noise dictionary. If the matching degree is greater than a preset value, the noise signal is sent to the time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to the edge collaboration module.

[0042] The time-frequency analysis module 104 is used to perform local noise analysis on the noise signal based on the preset noise dictionary;

[0043] The edge-to-edge collaboration module 105 is used to assign an edge server to the noise signal and send the noise signal to the edge server for noise analysis.

[0044] In this embodiment, the wideband and narrowband separation module 101, the wideband and narrowband noise separation module 102, and the noise identification module 103 are connected in sequence. The noise identification module 103 is also connected in communication with the time-frequency analysis module 104 and the edge-end collaboration module 105, respectively.

[0045] Optionally, the time-frequency analysis module 104 is specifically used for:

[0046] Based on the prior noise knowledge and empirical time-frequency characteristics in the preset noise dictionary, local noise analysis is performed on the noise signal to generate the distribution and time-frequency characteristics of the broadband noise signal, as well as the distribution and time-frequency characteristics of the narrowband noise signal.

[0047] Optionally, the edge collaboration module 105 is further configured to:

[0048] The noise analysis results obtained by the edge server after performing noise analysis on the noise signal are received, and the preset noise dictionary is updated based on the noise analysis results.

[0049] Optionally, the wideband / narrowband separation module 101 is specifically used for:

[0050] The wideband and narrowband coupled power line carrier signals are separated by using a high-pass filter and a low-pass filter to obtain the wideband carrier signal and the narrowband carrier signal.

[0051] like Figure 2 The diagram shows a structural schematic of another power line carrier noise testing apparatus provided in this application. In some embodiments, the testing apparatus further includes:

[0052] A wideband and narrowband signal isolation module is used to filter noise outside the measurement frequency band of the wideband carrier signal and the narrowband carrier signal through a bandpass filter to obtain the target frequency band.

[0053] In this embodiment, the wideband and narrowband signal isolation module is communicatively connected to the wideband and narrowband separation module and the wideband and narrowband noise separation module, respectively.

[0054] In some embodiments, the testing apparatus further includes:

[0055] The high-speed acquisition card module is used to acquire the voltage signal corresponding to the noise signal through the high-speed acquisition card, and convert the voltage signal into a digital signal, which is used as the input of the noise identification module.

[0056] In this embodiment, the high-speed acquisition card module is communicatively connected to both the wideband and narrowband noise separation module and the noise identification module.

[0057] It is understandable that the above-mentioned testing device is also equipped with a power supply module for supplying power to each module, a communication module for providing communication functions to each module, and a noise dictionary module for providing a noise dictionary for the noise identification module.

[0058] Please refer to Figure 3 , Figure 3 This is a flowchart illustrating a method for testing power line carrier noise according to an embodiment of this application. The power line carrier noise testing method of this application can be applied to computer equipment integrated with the aforementioned testing device. Figure 3 As shown, the distance protection multi-setting zone setting method of this embodiment includes steps S301 to S305, which are described in detail below:

[0059] Step S301: Use the wide and narrow band separation module to decouple the wide and narrow band coupled power line carrier signals to obtain wide band carrier signals and narrow band carrier signals.

[0060] In this step, the carrier node under test sends the wideband and narrowband coupled power line carrier signal to the wideband and narrowband separation module after attenuation by a programmable attenuator. The wideband and narrowband separation module decouples the wideband and narrowband signals in the wideband and narrowband coupled power line carrier signal to form wideband carrier signal and narrowband carrier signal respectively.

[0061] In some embodiments, step S301 includes:

[0062] The wideband and narrowband coupled power line carrier signals are separated by using a high-pass filter and a low-pass filter to obtain the wideband carrier signal and the narrowband carrier signal.

[0063] In this embodiment, narrowband and wideband carrier signals are separated using high-pass and low-pass filters. Noise signals need to be analyzed according to the different applicable frequency bands of narrowband and wideband power line carrier communication. Specifically, the bandwidth and intensity of narrowband carrier noise spikes can be directly identified and analyzed by the testing instrument, while wideband carrier noise, due to the close similarity of its spectral components, cannot be directly distinguished by the testing instrument. Therefore, its intensity and other indicators can be analyzed based on its statistical characteristics.

[0064] Step S302: Use a wideband and narrowband noise separation module to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band. The noise signals include wideband noise signals and narrowband noise signals.

[0065] In this step, the filtered broadband carrier signal and narrowband carrier signal are input into the broadband and narrowband noise separation module, and the signal and noise are separated by low-pass filtering, wavelet thresholding, and modulus maxima.

[0066] In some embodiments, the method further includes the following steps prior to step S302:

[0067] The target frequency band is obtained by using a wide and narrow band signal isolation module to filter out noise outside the measurement frequency band of the wide and narrow band carrier signals through a bandpass filter.

[0068] In this embodiment, a bandpass filter is used to further filter noise outside the measurement frequency band of the broadband and narrowband carrier signals to obtain the target frequency band. Optionally, the broadband and narrowband separation module uses an RF electronic switch to input the broadband and narrowband carrier signals to the broadband and narrowband signal isolation module respectively. The bandpass filter allows the 10kHz-500kHz narrowband carrier and 2MHz-20MHz broadband carrier signals to pass through without obstruction, thereby further filtering noise outside the measurement frequency band of the broadband and narrowband carrier signals.

[0069] Step S303: The noise signal is matched with a preset signal in a preset noise dictionary using the noise identification module. If the matching degree is greater than a preset value, the noise signal is sent to the time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to the edge collaboration module.

[0070] In this step, a pre-defined noise dictionary (local noise dictionary) is stored locally, containing information such as the spectral distribution range, power spectral density characteristics, periodic characteristics, and noise models of known power line communication noise types. This dictionary supports the noise time-frequency analysis module in performing local comparison and analysis of broadband and narrowband noise information. The noise identification module compares the received noise signal with the information in the local noise dictionary. If the match is high, the noise signal is sent to the time-frequency analysis module for local analysis. If the match is low, the noise data and an edge processing request are sent to the edge collaboration module.

[0071] In some embodiments, the method further includes the following steps prior to step S303:

[0072] The high-speed acquisition card module is used to acquire the voltage signal corresponding to the noise signal through the high-speed acquisition card, and convert the voltage signal into a digital signal, which is used as the input of the noise identification module.

[0073] In this embodiment, the noise signal is input to a high-speed acquisition card, which acquires the time-domain voltage signals of the broadband noise signal and the narrowband noise signal, converts the time-domain voltage signals into digital signals, and finally transmits them to the noise identification module via USB.

[0074] Step S304: Using the time-frequency analysis module, perform local noise analysis on the noise signal based on the preset noise dictionary.

[0075] In this step, the extracted noise signal is input into this module for local noise time-frequency characteristic analysis. Using information such as noise prior knowledge, broadband and narrowband distribution, and empirical time-frequency characteristics from the local device noise dictionary, the distribution and time-frequency characteristics of broadband and narrowband noise are generated.

[0076] In some embodiments, step S304 includes:

[0077] Based on the prior noise knowledge and empirical time-frequency characteristics in the preset noise dictionary, local noise analysis is performed on the noise signal to generate the distribution and time-frequency characteristics of the broadband noise signal, as well as the distribution and time-frequency characteristics of the narrowband noise signal.

[0078] In this embodiment, for example, the noise type is determined based on the noise model matching degree of the local noise dictionary, i.e., the similarity of the noise time-domain waveform, such as colored background noise, sudden impulse noise, etc. Next, the time-frequency analysis module generates the time-frequency information of the measured noise, where the time-domain information includes the noise amplitude and period; the frequency-domain information includes the noise frequency point, spectral range, bandwidth, amplitude, etc. Finally, the noise time-frequency information determined based on the local noise dictionary is weighted and added to the time-frequency information of the measured noise signal according to the matching degree to obtain the time-frequency analysis result of the local noise.

[0079] Step S305: The edge-end collaboration module is used to allocate an edge server to the noise signal and send the noise signal to the edge server for noise analysis.

[0080] In this step, after receiving the request for noise edge processing, the edge-end collaboration module finds a suitable edge server for it and finally sends the noise data to the target edge server through the communication module for further noise analysis.

[0081] In some embodiments, the method further includes the following after step S305:

[0082] The noise analysis results obtained by the edge server after performing noise analysis on the noise signal are received, and the preset noise dictionary is updated based on the noise analysis results.

[0083] In this embodiment, the edge server sends the feedback information such as noise prior knowledge, broadband and narrowband distribution, and empirical time-frequency characteristics to the tested carrier node and the power line carrier noise testing device. The device updates the local noise dictionary, thereby improving the local noise feature matching and identification performance and analysis performance.

[0084] It should be noted that the device described in this application performs noise feature matching and recognition with a local noise dictionary. If the input wide and narrow band noise has a high matching degree with the local noise dictionary, the noise time-frequency analysis task is offloaded to the edge intelligence-based time-frequency analysis module for processing. This module further utilizes information such as noise prior knowledge, wide and narrow band distribution, and empirical time-frequency features in the local noise dictionary to improve the accuracy of noise testing and analysis. Otherwise, the task is offloaded to the edge server for processing. The local noise dictionary is updated using the noise prior knowledge, wide and narrow band distribution, and empirical time-frequency features fed back by the edge server, thereby improving the noise feature matching and recognition performance.

[0085] This application makes time-frequency analysis task offloading decisions based on the noise feature matching and recognition results of the local noise dictionary. If the input broadband and narrowband noise has a high matching degree with the local noise dictionary, the noise time-frequency analysis task is offloaded to the local time-frequency analysis module for processing; otherwise, it is offloaded to the edge server for processing. This fully improves the utilization efficiency of edge-end collaborative computing resources and noise feature resources, and realizes edge-end collaborative noise testing and analysis.

[0086] Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of this application. Figure 4 As shown, the computer device 4 of this embodiment includes: at least one processor 40 ( Figure 4 (Only one is shown in the diagram), memory 41, and computer program 42 stored in said memory 41 and executable on said at least one processor 40, wherein said processor 40 executes said computer program 42 to implement the steps in any of the above method embodiments.

[0087] The computer device 4 can be a smartphone, tablet, desktop computer, cloud server, or other computing device. This computer device may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will understand that... Figure 4 The computer device 4 is merely an example and does not constitute a limitation on the computer device 4. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, etc.

[0088] The processor 40 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0089] In some embodiments, the memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 may be an external storage device of the computer device 4, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the computer device 4. Furthermore, the memory 41 may include both internal and external storage units of the computer device 4. The memory 41 is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory 41 can also be used to temporarily store data that has been output or will be output.

[0090] In addition, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in any of the above method embodiments.

[0091] This application provides a computer program product that, when run on a computer device, enables the computer device to execute the steps described in the various method embodiments above.

[0092] In the several embodiments provided in this application, it will be understood that each block in the flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the figures. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.

[0093] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of this application. It should be understood that the above descriptions are merely specific embodiments of this application and are not intended to limit the scope of protection of this application. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application for those skilled in the art.

Claims

1. A testing device for power line carrier noise, characterized in that, include: The wideband and narrowband separation module is used to decouple wideband and narrowband coupled power line carrier signals to obtain wideband carrier signals and narrowband carrier signals; A wideband and narrowband noise separation module is used to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band, wherein the noise signals include wideband noise signals and narrowband noise signals; The noise identification module is used to match the noise signal with a preset signal in a preset noise dictionary. If the matching degree is greater than a preset value, the noise signal is sent to the time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to the edge collaboration module. The time-frequency analysis module is used to perform local noise analysis on the noise signal based on the preset noise dictionary; The edge-to-edge collaboration module is used to allocate an edge server to the noise signal and send the noise signal to the edge server for noise analysis. The high-speed acquisition card module is used to acquire the voltage signal corresponding to the noise signal through the high-speed acquisition card, and convert the voltage signal into a digital signal, which is used as the input of the noise identification module.

2. The power line carrier noise testing apparatus as described in claim 1, characterized in that, The time-frequency analysis module is specifically used for: Based on the prior noise knowledge and empirical time-frequency characteristics in the preset noise dictionary, local noise analysis is performed on the noise signal to generate the distribution and time-frequency characteristics of the broadband noise signal, as well as the distribution and time-frequency characteristics of the narrowband noise signal.

3. The power line carrier noise testing apparatus as described in claim 1, characterized in that, The edge collaboration module is also used for: The noise analysis results obtained by the edge server after performing noise analysis on the noise signal are received, and the preset noise dictionary is updated based on the noise analysis results.

4. The power line carrier noise testing apparatus as described in claim 1, characterized in that, The wideband / narrowband separation module is specifically used for: The wideband and narrowband coupled power line carrier signals are separated by using a high-pass filter and a low-pass filter to obtain the wideband carrier signal and the narrowband carrier signal.

5. The power line carrier noise testing apparatus as described in claim 1, characterized in that, The testing apparatus also includes: A wideband and narrowband signal isolation module is used to filter noise outside the measurement frequency band of the wideband carrier signal and the narrowband carrier signal through a bandpass filter to obtain the target frequency band.

6. A method for testing power line carrier noise, characterized in that, A test apparatus for power line carrier noise according to any one of claims 1 to 5, wherein the test method comprises: A wideband and narrowband coupling power line carrier signal is decoupled using a wideband and narrowband separation module to obtain a wideband carrier signal and a narrowband carrier signal; A wideband and narrowband noise separation module is used to separate the noise signals of the wideband carrier signal and the narrowband carrier signal in the target frequency band. The noise signals include wideband noise signals and narrowband noise signals. A high-speed acquisition card is used to acquire the voltage signals corresponding to the noise signals and convert the voltage signals into digital signals. The digital signals are used as the input of the noise identification module. The noise signal is matched with a preset signal in a preset noise dictionary using a noise identification module. If the matching degree is greater than a preset value, the noise signal is sent to a time-frequency analysis module. If the matching degree is not greater than the preset value, the noise signal is sent to an edge-to-edge collaboration module. The noise signal is analyzed locally using the time-frequency analysis module based on the preset noise dictionary; The noise signal is assigned to an edge server using the edge-end collaboration module, and the noise signal is sent to the edge server for noise analysis.

7. The test method for power line carrier noise as described in claim 6, characterized in that, The testing method also includes: The edge collaboration module receives the noise analysis results obtained by the edge server after performing noise analysis on the noise signal, and updates the preset noise dictionary based on the noise analysis results.

8. A computer device, characterized in that, It includes a processor and a memory, the memory being used to store a computer program that, when executed by the processor, implements the power line carrier noise testing method as described in claim 6 or 7.

9. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the power line carrier noise test method as described in claim 6 or 7.

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