Signal processing method, device and equipment for electric power information communication network

Abstract

The invention provides a signal processing method for an electric power information communication network. The method can be applied to the technical fields of financial science and technology and 5G. The method comprises the following steps: acquiring a first signals, and performing digital conversion on the a first signals to generate a second signals; wherein a is greater than or equal to 1 and is an integer, and the a first signals are power signals transmitted in the power information communication network. Frequency spectrum identification processing is conducted on the a second signals, b third signals are generated, b is larger than or equal to 1 and is an integer, and b is smaller than or equal to a. And performing reconstruction repair processing on the b third signals to generate b fourth signals. And performing signal amplification processing on the b fourth signals to generate b target signals. The invention further provides a signal processing device and equipment for the electric power information communication network.

Description

Technical Field

[0001] The present disclosure relates to the field of financial technology, specifically to the field of 5G technology, and in particular to a signal processing method, device and equipment for a power information communication network. Background Art

[0002] In enterprises including banks, with the continuous development of 5G communication technology, the demand for improving the signal quality and reliability of power information communication networks is gradually increasing, so as to obtain faster transmission rates and lower transmission delays, making communication between bank branches and between branches and customers more convenient.

[0003] The current signal processing solution for the power information communication network on the market generally amplifies the signal of the power information communication network to improve the signal quality. However, this method can only be used when the basic signal is good. When the basic signal quality is poor, signal amplification can easily cause signal distortion, affecting the accuracy and reliability of the signal. Summary of the invention

[0004] In view of the above problems, the present disclosure provides a signal processing method, device and apparatus for a power information communication network.

[0005] According to a first aspect of the present disclosure, there is provided a signal processing method for a power information communication network, the method comprising:

[0006] Acquire a first signals, perform digital conversion on the a first signals, and generate a second signals, wherein a is greater than or equal to 1 and a is an integer, and the a first signals are power signals transmitted in the power information communication network;

[0007] Performing spectrum recognition processing on the a second signals to generate b third signals, where b is greater than or equal to 1 and b is an integer, and b is less than or equal to a;

[0008] Performing reconstruction and repair processing on the b third signals to generate b fourth signals; and

[0009] The b fourth signals are subjected to signal amplification processing to generate b target signals.

[0010] According to an embodiment of the present disclosure, performing digital conversion on the a first signals to generate a second signals includes:

[0011] Sampling each first signal according to a preset frequency to generate a plurality of continuous sample values ​​of each first signal;

[0012] quantizing a plurality of continuous sample values ​​of each first signal to generate a plurality of mathematical quantization values ​​of each first signal; and

[0013] Binary conversion is performed on the multiple mathematical quantized values ​​of each first signal to generate a second signals.

[0014] According to an embodiment of the present disclosure, spectrum identification processing is performed on the a second signals to generate b third signals, including:

[0015] Performing filtering processing on the a second signals to generate c filtered second signals, where c is greater than or equal to 1 and c is an integer, and c is less than or equal to a;

[0016] Performing spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals; and

[0017] b second signals whose characteristic values ​​of the c filtered second signals are less than a preset characteristic threshold are obtained, and b third signals are generated.

[0018] According to an embodiment of the present disclosure, performing spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals includes:

[0019] Performing frequency domain conversion on the c filtered second signals to generate c frequency domain converted second signals;

[0020] Graphically converting the c second signals after the frequency domain conversion to generate c second signal spectrum graphs; and

[0021] Extract the characteristic values ​​in the c second signal spectrograms.

[0022] According to an embodiment of the present disclosure, reconstructing and repairing the b third signals to generate b fourth signals includes:

[0023] Acquire d second signals whose characteristic values ​​of the c filtered second signals are greater than or equal to a preset characteristic threshold, and generate d fifth signals, where d is greater than or equal to 1 and d is an integer, and d is less than or equal to c;

[0024] Acquire characteristic values ​​of the d fifth signals, and generate a standard characteristic value based on the characteristic values ​​of the d fifth signals; and

[0025] Based on the standard eigenvalues, the b third signals are reconstructed and repaired to generate b fourth signals.

[0026] According to an embodiment of the present disclosure, based on the standard characteristic value, the b third signals are reconstructed and repaired to generate b fourth signals, including:

[0027] Vectorizing the standard eigenvalue to generate a standard eigenvector;

[0028] Vectorizing the eigenvalues ​​of the b third signals to generate b third signal eigenvectors;

[0029] Obtaining eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector; and

[0030] Based on the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector, the b third signals are reconstructed and repaired to generate b fourth signals.

[0031] According to an embodiment of the present disclosure, the method further includes:

[0032] modulating the b target signals to generate b modulated target signals; and

[0033] The modulated b target signals are encoded to generate b encoded target signals.

[0034] According to an embodiment of the present disclosure, the method includes:

[0035] monitoring the signal processing process for the electric power information communication network in real time and generating a signal processing record log for the electric power information communication network; and

[0036] The signal processing record log for the electric power information communication network is analyzed to generate a signal processing statistical report for the electric power information communication network.

[0037] According to a second aspect of the present disclosure, there is provided a signal processing device for a power information communication network, the device comprising:

[0038] A first generating module is used to obtain a first signals, convert the a first signals, and generate a second signals, where a is greater than or equal to 1 and a is an integer;

[0039] A second generating module is used to perform spectrum recognition processing on the a second signals to generate b third signals, wherein b is greater than or equal to 1 and b is an integer, and b is less than or equal to a;

[0040] A third generating module is used to perform reconstruction and repair processing on the b third signals to generate b fourth signals; and

[0041] The fourth generating module is used to perform signal amplification processing on the b fourth signals to generate b target signals.

[0042] According to an embodiment of the present disclosure, the first generating module includes:

[0043] a fifth generating module, configured to sample each first signal according to a preset frequency to generate a plurality of continuous sample values ​​of each first signal;

[0044] a quantization module, configured to perform quantization processing on a plurality of continuous sample values ​​of each first signal to generate a plurality of mathematical quantization values ​​of each first signal; and

[0045] The sixth generating module is used to perform binary conversion on the multiple mathematical quantization values ​​of each first signal to generate a second signals.

[0046] According to an embodiment of the present disclosure, the second generating module includes:

[0047] a seventh generating module, configured to filter the a second signals to generate c filtered second signals, wherein c is greater than or equal to 1 and c is an integer, and c is less than or equal to a;

[0048] A first acquisition module, configured to perform spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals; and

[0049] The eighth generating module is used to obtain b second signals whose characteristic values ​​of the c filtered second signals are less than a preset characteristic threshold, and generate b third signals.

[0050] According to an embodiment of the present disclosure, the first acquisition module includes:

[0051] a ninth generating module, configured to perform frequency domain conversion on the c filtered second signals to generate c frequency domain converted second signals;

[0052] a tenth generating module, configured to graph the c second signals after the frequency domain conversion to generate c second signal spectrum graphs; and

[0053] The second acquisition module is used to extract the characteristic values ​​in the c second signal spectrum graphs.

[0054] According to an embodiment of the present disclosure, the fourth generating module includes:

[0055] An eleventh generating module, configured to obtain d second signals whose characteristic values ​​of the c filtered second signals are greater than or equal to a preset characteristic threshold, and generate d fifth signals, wherein d is greater than or equal to 1 and d is an integer, and d is less than or equal to c;

[0056] a twelfth generating module, configured to obtain the characteristic values ​​of the d fifth signals, and generate a standard characteristic value based on the characteristic values ​​of the d fifth signals; and

[0057] The thirteenth generating module is used to reconstruct and repair the b third signals based on the standard characteristic value to generate b fourth signals.

[0058] According to an embodiment of the present disclosure, the thirteenth generation module includes:

[0059] A fourteenth generating module, used for vectorizing the standard eigenvalue to generate a standard eigenvector;

[0060] A fifteenth generating module, used for vectorizing the eigenvalues ​​of the b third signals to generate b third signal eigenvectors;

[0061] A third acquisition module is used to obtain the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector; and

[0062] The sixteenth generating module is used to reconstruct and repair the b third signals based on the eigenvalue vectors of the b third signals and the eigenvalue vector of the standard eigenvector, so as to generate b fourth signals.

[0063] According to a third aspect of the present disclosure, there is provided a signal processing device for a power information communication network, the device comprising:

[0064] chassis;

[0065] The signal processing device as claimed in claim 10 is disposed in the housing;

[0066] A control panel, the control panel being disposed on an outer wall of one side of the housing; and

[0067] A heat dissipation net is arranged on at least two outer surfaces of the housing.

[0068] The present invention discloses a technical means of improving signal quality by performing spectrum recognition on signals to screen out signals with poor quality, and then performing signal reconstruction and signal amplification processing on these signals, thereby solving the technical problem of signal transmission problems caused by the low quality of some signals and achieving the technical effect of improving the reliability and robustness of signal transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] The above contents and other purposes, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0070] Figure 1 A flow chart schematically shows a signal processing method for a power information communication network according to an embodiment of the present disclosure;

[0071] Figure 2 A flowchart schematically shows a second signal generated in a signal processing method for a power information communication network according to an embodiment of the present disclosure;

[0072] Figure 3A flowchart schematically shows a method for generating b third signals in a signal processing method for a power information communication network according to an embodiment of the present disclosure;

[0073] Figure 4 Schematically shows a flowchart of extracting characteristic values ​​of c second signal spectrum graphs in a signal processing method for a power information communication network according to an embodiment of the present disclosure;

[0074] Figure 5 A flowchart schematically shows a method for generating b fourth signals in a signal processing method for a power information communication network according to an embodiment of the present disclosure;

[0075] Figure 6 A flowchart schematically shows a method for processing a signal for a power information communication network according to an embodiment of the present disclosure for generating b fourth signals based on a standard characteristic value;

[0076] Figure 7 A structural block diagram schematically shows a signal processing device for a power information communication network according to an embodiment of the present disclosure; and

[0077] Figure 8 A schematic diagram of a signal processing device suitable for implementing a power information communication network according to an embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0078] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0079] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0080] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0081] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0082] Some block diagrams and / or flow charts are shown in the accompanying drawings. It should be understood that some blocks or combinations thereof in the block diagrams and / or flow charts may be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable control device, so that these instructions, when executed by the processor, may create a device for implementing the functions / operations described in these block diagrams and / or flow charts.

[0083] First, the technical terms that appear in this article are explained as follows:

[0084] Signal filtering: It is a technique to extract useful information from noisy signals.

[0085] Signal spectrum recognition: is a technical process that involves analyzing the distribution characteristics of signals in the frequency domain to identify and classify different signals.

[0086] Time domain signal: refers to the description of signal changes on the time axis, reflecting the amplitude or phase changes of the signal at different times.

[0087] Frequency domain signal: Frequency domain signal refers to the description of converting time domain signal into frequency domain signal, which reveals the frequency components of the signal and its corresponding amplitude or phase information. Frequency domain signal is obtained through mathematical tools such as Fourier transform and is used to analyze the frequency characteristics of the signal.

[0088] An embodiment of the present disclosure provides a signal processing method for an electric power information communication network, the method comprising: acquiring a first signals, performing digital conversion on the a first signals to generate a second signals, wherein a is greater than or equal to 1 and a is an integer, and the a first signals are electric power signals transmitted in the electric power information communication network; performing spectrum recognition processing on the a second signals to generate b third signals, wherein b is greater than or equal to 1 and b is an integer, and b is less than or equal to a; performing reconstruction and repair processing on the b third signals to generate b fourth signals; and performing signal amplification processing on the b fourth signals to generate b target signals.

[0089] According to the embodiments of the present disclosure, the signal quality is improved by performing spectrum recognition on the signal to screen out the signals with poor quality, and then performing signal reconstruction and signal amplification processing on these signals. This solves the technical problem of signal transmission problems caused by the low quality of some signals, and achieves the technical effect of improving the reliability and robustness of signal transmission.

[0090] In the embodiment of the present disclosure, Figure 1 to Figure 6 The signal processing method for the power information communication network of the disclosed embodiment is described in detail.

[0091] Figure 1 The flowchart of the signal processing method for the power information communication network according to the embodiment of the present disclosure is schematically shown.

[0092] like Figure 1 As shown, the method 100 includes steps S101 to S104.

[0093] Step S101, obtaining a first signals, performing digital conversion on the a first signals, and generating a second signals, wherein a is greater than or equal to 1 and a is an integer, and the a first signals are power signals transmitted in a power information communication network.

[0094] Figure 2 The flowchart of generating a second signal in the signal processing method for the electric power information communication network according to the embodiment of the present disclosure is schematically shown.

[0095] like Figure 2 As shown, the method 200 includes steps S201-S203.

[0096] Step S201 : sampling each first signal according to a preset frequency to generate a plurality of continuous sample values ​​of each first signal.

[0097] For example, communication signals generally include analog signals and digital signals. An analog signal is a continuously changing signal whose value can change within a continuous range and can take any value. A digital signal is a discrete signal whose value can only take discrete values. In digital communication, information is transmitted through the binary bits (0 or 1) of digital signals. Before sampling each first signal, each first signal can be judged. If it is an analog signal, it is sampled, and if it is a digital signal, it does not need to be sampled. Sampling is the first step in converting a continuous analog signal into a discrete familiar signal. Specifically, the sampler samples the analog signal at a certain sampling frequency and discretizes it into a series of sample values ​​in time. The selection of the sampling frequency should generally satisfy the Nyquist sampling theorem, that is, the sampling frequency should be at least twice the best frequency of the signal.

[0098] Step S202: quantize the multiple continuous sample values ​​of each first signal to generate multiple mathematical quantization values ​​of each first signal.

[0099] For example, quantization is the process of converting continuous sample values ​​after sampling into discrete mathematical quantization values. The quantizer maps each sample value to a discrete mathematical quantization value, usually using uniform quantization or non-uniform quantization. Uniform quantization maps sample values ​​to equally spaced mathematical quantization values, while non-uniform quantization maps sample values ​​to non-equally spaced mathematical quantization values.

[0100] Step S203: performing binary conversion on the multiple mathematical quantization values ​​of each first signal to generate a second signals.

[0101] For example, an encoder may be used to perform binary conversion on multiple mathematical quantization values ​​of each first signal. The encoder maps each digital quantization value into a string of binary digits. Common encoding methods include pulse code modulation (PCM), differential pulse code modulation (DPCM), and adaptive differential pulse code modulation (ADPCM).

[0102] The accuracy of signal conversion can be improved by converting analog signals into digital signals through mathematical quantization processing.

[0103] Return to reference Figure 1 In step S102, spectrum recognition processing is performed on the a second signals to generate b third signals, where b is greater than or equal to 1 and b is an integer, and b is less than or equal to a.

[0104] Figure 3 The flowchart of generating b third signals in the signal processing method for the electric power information communication network according to the embodiment of the present disclosure is schematically shown.

[0105] like Figure 3 As shown, the method 300 includes steps S301 to S303.

[0106] Step 301 : Filter the a second signals to generate c filtered second signals, where c is greater than or equal to 1 and is an integer, and c is less than or equal to a.

[0107] Step S302: Perform spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals.

[0108] Figure 4 A flowchart for extracting characteristic values ​​in c second signal spectrum graphs in a signal processing method for a power information communication network according to an embodiment of the present disclosure is schematically shown.

[0109] like Figure 4As shown, the method 400 includes steps S401 to S403.

[0110] Step 401 : performing frequency domain conversion on the c filtered second signals to generate c frequency domain converted second signals.

[0111] For example, before performing spectrum recognition on the c filtered second signals, preprocessing such as noise removal and normalization may be performed. Then, the c time domain second signals may be converted into c frequency domain second signals through Fourier transformation, and the c frequency domain second signals reveal the energy distribution of the signal at different frequencies.

[0112] Step 402: Graphically convert the c second signals after the frequency domain conversion to generate c second signal spectrum diagrams.

[0113] For example, the converted c frequency-domain second signals are represented graphically to generate c second signal spectrum graphs.

[0114] Step 403: extracting characteristic values ​​from the c second signal spectrograms.

[0115] For example, extract key features from the spectrum graph, including peak frequency, bandwidth, energy distribution, etc. Key features are mainly used for signal recognition. After extracting key features, machine learning algorithms or recognition techniques can be used to classify signals. Algorithms generally include support vector machines and neural network models.

[0116] By converting the time domain signal into the frequency domain signal and then generating a signal spectrum to extract the eigenvalue, the reliability of the obtained eigenvalue can be improved.

[0117] Return to reference Figure 3 In step S303, b second signals whose characteristic values ​​of the c filtered second signals are less than a preset characteristic threshold are obtained to generate b third signals.

[0118] By filtering to remove noise from the signal, extracting eigenvalues ​​through spectrum recognition, and extracting low-quality signals based on the eigenvalues, the accuracy of obtaining low-quality signals can be improved.

[0119] Return to reference Figure 1 In step S103, the b third signals are reconstructed and repaired to generate b fourth signals.

[0120] Figure 5 The flowchart of generating b fourth signals in the signal processing method for the electric power information communication network according to the embodiment of the present disclosure is schematically shown.

[0121] like Figure 5 As shown, the method 500 includes steps S501 to S503.

[0122] Step 501, obtaining d second signals whose characteristic values ​​of the c filtered second signals are greater than or equal to a preset characteristic threshold, and generating d fifth signals, where d is greater than or equal to 1 and d is an integer, and d is less than or equal to c.

[0123] Step 502: Acquire the characteristic values ​​of the d fifth signals, and generate a standard characteristic value based on the characteristic values ​​of the d fifth signals.

[0124] Step 503: Based on the standard eigenvalues, reconstruct and repair the b third signals to generate b fourth signals.

[0125] Figure 6 The flowchart of generating b fourth signals based on standard characteristic values ​​in the signal processing method for the electric power information communication network according to the embodiment of the present disclosure is schematically shown.

[0126] like Figure 6 As shown, the method 600 includes steps S601 to S604.

[0127] Step 601, vectorize the standard eigenvalue to generate a standard eigenvector.

[0128] Step 602: vectorize the eigenvalues ​​of the b third signals to generate b third signal eigenvectors.

[0129] Step 603: Obtain eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector.

[0130] Step 604: Based on the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector, reconstruct and repair the b third signals to generate b fourth signals.

[0131] By obtaining the eigenvalues ​​of high-quality signals to generate standard eigenvalues, and reconstructing and repairing low-quality signals with the standard eigenvalues ​​as a reference, the efficiency and quality of signal repair can be improved. In addition, through vectorization processing, the signal is reconstructed and repaired based on vectors, which can further improve the accuracy and reliability of signal repair.

[0132] Return to reference Figure 1 In step S104, the b fourth signals are amplified to generate b target signals.

[0133] For example, the b fourth signals may be amplified to generate b target signals, then the b target signals may be denoised, the denoised b target signals may be modulated to generate b modulated target signals, and the modulated b target signals may be encoded to generate b encoded target signals. De-noising the b target signals after signal amplification may remove the noise introduced after signal amplification, and then modulation and encoding may be performed to facilitate signal transmission and further improve the accuracy and reliability of signal transmission.

[0134] At the same time, in the process of processing the signal used for the power information communication network, the processing process can also be monitored in real time, and a signal processing record log for the power information communication network can be generated, the signal processing record log for the power information communication network can be analyzed, and a signal processing statistical report for the power information communication network can be generated.

[0135] Through the signal processing statistical report for the power information and communication network, various types of information of the signal processing results can be analyzed, faults generated during the signal processing process can be screened, and these faults can be recorded. At the same time, the causes of the faults can be traced, and processing strategies can be generated through training models to ensure the accuracy of signal processing.

[0136] By generating a signal processing statistical report for the electric power information communication network through monitoring logs, it is convenient to intuitively monitor the signal processing results and improve work efficiency.

[0137] The disclosed embodiment can filter, transform, and correct the signal by processing the signal multiple times, and can also amplify the signal, and can also eliminate some cluttered signals, so as to effectively improve the accuracy and effectiveness of the processing of the device. At the same time, the method can extract features from the signal, thereby detecting incomplete signals, and effectively reconstruct and repair such signals, which can improve the signal processing effect and functionality of the power information communication network. In addition, deep learning algorithms can be used to perform deep learning on the recognition and elimination of cluttered signals to improve the efficiency of signal recognition and elimination and improve the signal effect.

[0138] Figure 7 The structure block diagram of a signal processing device for a power information communication network according to an embodiment of the present disclosure is schematically shown.

[0139] like Figure 7 As shown, the device 700 includes: a first generating module 701, a second generating module 702, a third generating module 703 and a fourth generating module 704.

[0140] The first generating module 701 is used to obtain a first signal, perform digital conversion on the a first signal, and generate a second signal, wherein a is greater than or equal to 1 and a is an integer, and the a first signal is a power signal transmitted in the power information communication network. In one embodiment, the first generating module 701 can be used to execute step S101 described above.

[0141] The first generating module 701 includes: a fifth generating module, a quantization module and a sixth generating module.

[0142] The fifth generating module is used to sample each first signal according to a preset frequency to generate a plurality of continuous sample values ​​of each first signal. In one embodiment, the fifth generating module can be used to execute the step S201 described above, which will not be described in detail here.

[0143] The quantization module is used to quantize the multiple continuous sample values ​​of each first signal to generate multiple mathematical quantization values ​​of each first signal. In one embodiment, the quantization module can be used to execute the step S202 described above, which will not be described in detail here.

[0144] The sixth generating module is used to perform binary conversion on the multiple mathematical quantization values ​​of each first signal to generate a second signal. In one embodiment, the sixth generating module can be used to execute the step S203 described above, which will not be described in detail here.

[0145] The second generating module 702 is used to perform spectrum recognition processing on the a second signals to generate b third signals, where b is greater than or equal to 1 and b is an integer, and b is less than or equal to a. In one embodiment, the second generating module 702 can be used to execute step S102 described above.

[0146] The second generating module 702 includes: a seventh generating module, a first acquiring module and an eighth generating module.

[0147] The seventh generating module is used to filter the a second signals to generate c filtered second signals, where c is greater than or equal to 1 and c is an integer, and c is less than or equal to a. In one embodiment, the seventh generating module can be used to execute step S301 described above, which will not be repeated here.

[0148] The first acquisition module is used to perform spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals. In one embodiment, the first acquisition module can be used to execute step S302 described above.

[0149] The first acquisition module includes: a ninth generation module, a tenth generation module and a second acquisition module.

[0150] The ninth generating module is used to perform frequency domain conversion on the c filtered second signals to generate c second signals after frequency domain conversion. In one embodiment, the ninth generating module can be used to execute step S401 described above, which will not be described in detail here.

[0151] The tenth generating module is used to graph the c second signals after the frequency domain conversion to generate c second signal spectrum diagrams. In one embodiment, the tenth generating module can be used to execute the step S402 described above, which will not be described in detail here.

[0152] The second acquisition module is used to extract the characteristic values ​​in the c second signal spectrograms. In one embodiment, the second acquisition module can be used to execute the step S403 described above, which will not be described in detail here.

[0153] The eighth generating module is used to obtain b second signals whose characteristic values ​​of the c filtered second signals are less than a preset characteristic threshold, and generate b third signals. In one embodiment, the eighth generating module can be used to execute step S303 described above, which will not be described in detail here.

[0154] The third generating module 703 is used to perform reconstruction and repair processing on the b third signals to generate b fourth signals. In one embodiment, the third generating module 703 can be used to execute the above-described step S103, which will not be described in detail here.

[0155] The fourth generating module 704 is configured to perform signal amplification processing on the b fourth signals to generate b target signals. In one embodiment, the fourth generating module 704 may be configured to execute the above-described step S104.

[0156] The fourth generating module 704 includes: an eleventh generating module, a twelfth generating module and a thirteenth generating module.

[0157] The eleventh generating module is used to obtain d second signals whose characteristic values ​​of the c filtered second signals are greater than or equal to a preset characteristic threshold, and generate d fifth signals, where d is greater than or equal to 1 and d is an integer, and d is less than or equal to c. In one embodiment, the eleventh generating module can be used to execute step S501 described above, which will not be repeated here.

[0158] The twelfth generating module is used to obtain the characteristic values ​​of the d fifth signals, and generate a standard characteristic value based on the characteristic values ​​of the d fifth signals. In one embodiment, the twelfth generating module can be used to execute the step S502 described above, which will not be described in detail here.

[0159] The thirteenth generating module is used to perform reconstruction and repair processing on the b third signals based on the standard characteristic value to generate b fourth signals. In one embodiment, the thirteenth generating module can be used to execute step S503 described above.

[0160] The thirteenth generation module includes: a fourteenth generation module, a fifteenth generation module, a third acquisition module and a sixteenth generation module.

[0161] The fourteenth generating module is used to vectorize the standard eigenvalue to generate a standard eigenvector. In one embodiment, the fourteenth generating module can be used to execute the step S601 described above, which will not be described in detail here.

[0162] The fifteenth generating module is used to vectorize the eigenvalues ​​of the b third signals to generate b third signal eigenvectors. In one embodiment, the fifteenth generating module can be used to execute the above-described step S602, which will not be described in detail here.

[0163] The third acquisition module is used to obtain the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector. In one embodiment, the third acquisition module can be used to execute the step S603 described above, which will not be described in detail here.

[0164] The sixteenth generating module is used to reconstruct and repair the b third signals based on the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector to generate b fourth signals. In one embodiment, the sixteenth generating module can be used to execute step S604 described above, which will not be described in detail here.

[0165] According to an embodiment of the present disclosure, any multiple modules of the first generation module 701, the second generation module 702, the third generation module 703, and the fourth generation module 704 can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first generation module 701, the second generation module 702, the third generation module 703, and the fourth generation module 704 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, at least one of the first generation module 701 , the second generation module 702 , the third generation module 703 and the fourth generation module 704 may be at least partially implemented as a computer program module, and when the computer program module is executed, a corresponding function may be performed.

[0166] Figure 8 A schematic diagram of a signal processing device suitable for implementing a power information communication network according to an embodiment of the present disclosure is schematically shown.

[0167] like Figure 8 As shown, the device 800 includes: a handle 801 , a housing 802 , a control panel 803 and a heat dissipation net 804 .

[0168] A handle 801 is fixedly installed on the top of the housing 802, a control panel 803 is arranged on one side of the outer wall of the housing 802, and heat dissipation nets 804 are arranged on both sides of the outer surface of the housing 802. Figure 7 The first generating module 701, the second generating module 702, the third generating module 703 and the fourth generating module 704 are shown.

[0169] The first generating module 701 is used to obtain a first signal, perform digital conversion on the a first signal, and generate a second signal, wherein a is greater than or equal to 1 and a is an integer, and the a first signal is a power signal transmitted in the power information communication network. In one embodiment, the first generating module 701 can be used to execute step S101 described above, which will not be repeated here.

[0170] The second generating module 702 is used to perform spectrum recognition processing on the a second signals to generate b third signals, where b is greater than or equal to 1 and b is an integer, and b is less than or equal to a. In one embodiment, the second generating module 702 can be used to execute the step S102 described above, which will not be repeated here.

[0171] The third generating module 703 is used to perform reconstruction and repair processing on the b third signals to generate b fourth signals. In one embodiment, the third generating module 703 can be used to execute the above-described step S103, which will not be described in detail here.

[0172] The fourth generating module 704 is configured to perform signal amplification processing on the b fourth signals to generate b target signals. In one embodiment, the fourth generating module 704 can be configured to execute the above-described step S104, which will not be described in detail herein.

[0173] The device 800 can filter, transform, and correct the signal by performing multiple signal processing, and can also amplify the signal. It can also eliminate some cluttered signals, thereby effectively improving the accuracy and effectiveness of the processing of the device. At the same time, the method can extract features from the signal to detect incomplete signals, and effectively reconstruct and repair such signals, which can improve the signal processing effect and functionality of the power information communication network.

[0174] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways, even if such combinations and / or combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments and / or claims of the present disclosure may be combined and / or combined in a variety of ways without departing from the spirit and teachings of the present disclosure. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0175] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. The scope of the present disclosure is defined by the attached claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. A signal processing method for a power information communication network, characterized in that: The method includes: Acquire a first signals, perform digital conversion on the a first signals, and generate a second signals, wherein a is greater than or equal to 1 and a is an integer, and the a first signals are power signals transmitted in the power information communication network; Performing spectrum recognition processing on the a second signals to generate b third signals, where b is greater than or equal to 1 and b is an integer, and b is less than or equal to a; Performing reconstruction and repair processing on the b third signals to generate b fourth signals; and The b fourth signals are subjected to signal amplification processing to generate b target signals.

2. The method according to claim 1, characterized in that The a first signals are digitally converted to generate a second signals, comprising: Sampling each first signal according to a preset frequency to generate a plurality of continuous sample values ​​of each first signal; quantizing a plurality of continuous sample values ​​of each first signal to generate a plurality of mathematical quantization values ​​of each first signal; and Binary conversion is performed on the multiple mathematical quantized values ​​of each first signal to generate a second signals.

3. The method according to claim 1, characterized in that Performing spectrum recognition processing on the a second signals to generate b third signals includes: Performing filtering processing on the a second signals to generate c filtered second signals, where c is greater than or equal to 1 and c is an integer, and c is less than or equal to a; Performing spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals; and b second signals whose characteristic values ​​of the c filtered second signals are less than a preset characteristic threshold are obtained, and b third signals are generated.

4. The method according to claim 3, characterized in that Performing spectrum recognition on the c filtered second signals to obtain characteristic values ​​of the c filtered second signals includes: Performing frequency domain conversion on the c filtered second signals to generate c frequency domain converted second signals; Graphically converting the c second signals after the frequency domain conversion to generate c second signal spectrum graphs; and Extract the characteristic values ​​in the c second signal spectrograms.

5. The method according to claim 3, characterized in that: The b third signals are reconstructed and repaired to generate b fourth signals, comprising: Acquire d second signals whose characteristic values ​​of the c filtered second signals are greater than or equal to a preset characteristic threshold, and generate d fifth signals, where d is greater than or equal to 1 and d is an integer, and d is less than or equal to c; Acquire characteristic values ​​of the d fifth signals, and generate a standard characteristic value based on the characteristic values ​​of the d fifth signals; and Based on the standard eigenvalues, the b third signals are reconstructed and repaired to generate b fourth signals.

6. The method according to claim 5, characterized in that Based on the standard characteristic value, the b third signals are reconstructed and repaired to generate b fourth signals, including: Vectorizing the standard eigenvalue to generate a standard eigenvector; Vectorizing the eigenvalues ​​of the b third signals to generate b third signal eigenvectors; Obtaining eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector; and Based on the eigenvalue vectors of the b third signal eigenvectors and the standard eigenvector, the b third signals are reconstructed and repaired to generate b fourth signals.

7. The method according to any one of claims 1 to 6, characterized in that: The method further includes: modulating the b target signals to generate b modulated target signals; and The modulated b target signals are encoded to generate b encoded target signals.

8. The method according to any one of claims 1 to 6, characterized in that: The method includes: monitoring the signal processing process for the electric power information communication network in real time and generating a signal processing record log for the electric power information communication network; and The signal processing record log for the electric power information communication network is analyzed to generate a signal processing statistical report for the electric power information communication network.

9. A signal processing device for a power information communication network, characterized in that: The device includes: A first generating module is used to obtain a first signals, convert the a first signals, and generate a second signals, where a is greater than or equal to 1 and a is an integer; A second generating module is used to perform spectrum recognition processing on the a second signals to generate b third signals, wherein b is greater than or equal to 1 and b is an integer, and b is less than or equal to a; A third generating module is used to perform reconstruction and repair processing on the b third signals to generate b fourth signals; and The fourth generating module is used to perform signal amplification processing on the b fourth signals to generate b target signals.

10. A signal processing device for a power information communication network, characterized in that: The equipment includes: chassis; The signal processing device as claimed in claim 9 is disposed in the housing; A control panel, the control panel being disposed on an outer wall of one side of the housing; and A heat dissipation net is arranged on at least two outer surfaces of the housing.

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