Adaptive optimization system for multichannel signal processing

Abstract

The invention discloses a self-adaptive optimization system for multichannel signal processing, and relates to the technical field of monitoring analysis, and the system comprises a signal collection module which is used for receiving input signals corresponding to a plurality of channels, carrying out the preprocessing of the input signals corresponding to the plurality of channels, and determining the characteristic data and abnormal data corresponding to each channel; the processing module is used for analyzing and processing the characteristic data and the abnormal data corresponding to each channel, performing safety analysis on the signal transmission process of each channel according to an analysis and processing result, and constructing an optimization strategy according to a safety analysis result; the response optimization module is used for responding to the optimization strategy and outputting an alarm signal to each channel; and the pre-estimation module is used for pre-estimating the transmission risk coefficient corresponding to each channel in a period of time in the future. The application has the effect of improving the communication quality.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to an adaptive optimization system for multi-channel signal processing. Background Art

[0002] With the rapid development of modern communication technology, multi-channel signal processing technology has been widely used in wireless communication, audio processing, radar systems, satellite communications and other fields. The core goal of multi-channel signal processing is to extract useful information, suppress interference, and optimize signal quality through comprehensive analysis and processing of multiple signal channels, thereby improving the transmission efficiency and reliability of the communication system. At present, multi-channel signal processing systems usually use signal processing algorithms with fixed parameters, such as filtering, gain control, and phase compensation. However, these fixed-parameter algorithms show obvious limitations in complex and changing signal environments, especially when faced with dynamic interference, path loss, phase distortion, and signal attenuation in multi-channel signals. Real-time adaptive optimization cannot be achieved.

[0003] In the related technologies, traditional multi-channel signal processing lacks the ability to deeply analyze signal characteristics, and it is difficult to dynamically adjust the processing strategy according to the actual signal environment, resulting in reduced signal quality and increased bit error rate, which in turn leads to unstable communication quality. There is room for improvement. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides an adaptive optimization system for multi-channel signal processing.

[0005] In a first aspect, the present application provides an adaptive optimization system for multi-channel signal processing, comprising:

[0006] A signal acquisition module, used for receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels, and confirming characteristic data and abnormal data corresponding to each channel;

[0007] The processing module is used to analyze and process the characteristic data and abnormal data corresponding to each channel, perform safety analysis on the signal transmission process of each channel according to the results of the analysis and processing, and build an optimization strategy according to the results of the safety analysis;

[0008] A response optimization module, used to respond to the optimization strategy and output an alarm signal to each channel;

[0009] The estimation module is used to estimate the transmission risk coefficient corresponding to each channel in the future.

[0010] Preferably, the processing module includes a data identification unit, a data analysis unit and an abnormality marking unit;

[0011] The data identification unit is used to identify the signal characteristic data, statistical characteristic data and time characteristic data corresponding to each channel according to the characteristic data corresponding to each channel;

[0012] The signal characteristic data includes frequency response data, amplitude response data and phase response data;

[0013] The statistical characteristic data includes signal-to-noise ratio data, bit error rate data and path loss data;

[0014] The time characteristic data includes delay data and jitter data;

[0015] The data analysis unit is used to comprehensively analyze the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel;

[0016] The abnormal marking unit is used to mark abnormal channels.

[0017] Preferably, the process of comprehensively analyzing the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel specifically includes:

[0018] The security risk in the signal transmission process of each channel is evaluated, and the evaluation process is as follows:

[0019] By formula Confirm the safety risk factor Ri during the signal transmission process of each channel;

[0020] Wherein, i represents the number corresponding to each channel, i=1,2,3...j, ΔFRi, ΔARi, ΔPRi represent the frequency response deviation, amplitude response deviation, and phase response deviation corresponding to the i-th channel, ω1, ω2, ω3 represent the weight coefficients, ni represents the number of markings corresponding to the i-th channel, and e is a natural constant;

[0021] Compare the safety risk coefficient Ri during the signal transmission of each channel with the preset safety risk threshold R′;

[0022] If there is a safety risk factor Ri≤R′ during the channel signal transmission process, there is no need to conduct a safety analysis on the channel;

[0023] If there is a safety risk factor Ri>R′ during the channel signal transmission process, a safety analysis is performed on the channel.

[0024] Preferably, the process of performing security analysis on the channel specifically includes:

[0025] Obtain the statistical characteristic data corresponding to each channel, and extract the signal-to-noise ratio data Snri, bit error rate data Beri and path loss data Pli corresponding to each channel from the statistical characteristic data, and then use the formula Determine the first evaluation coefficient βi corresponding to each channel;

[0026] Wherein, max(Snr), max(Ber), max(Pl) represent the preset maximum permitted signal-to-noise ratio, maximum permitted bit error rate, and maximum permitted path loss, respectively; min(Snr), min(Ber), min(Pl) represent the preset minimum permitted signal-to-noise ratio, minimum permitted bit error rate, and minimum permitted path loss, respectively; ψ1, ψ2, ψ3 represent the preset weight coefficients, respectively;

[0027] Obtain the time characteristic data corresponding to each channel, and extract the delay data Syi and jitter data Ddi corresponding to each channel from the time characteristic data, and then use the formula Determine the second evaluation coefficient γi corresponding to each channel, wherein Sy′ and Dd′ represent the preset standard delay data and standard jitter data respectively, and ξ1 and ξ2 represent the preset weight coefficients;

[0028] The comprehensive evaluation coefficient αi corresponding to each channel is determined by the formula αi=βi*a1+γi*a2, where a1 and a2 represent the preset correction coefficients respectively;

[0029] Compare the comprehensive evaluation coefficient αi corresponding to each channel with the preset comprehensive evaluation threshold α′;

[0030] If there is a comprehensive evaluation coefficient αi≤a′ corresponding to the channel, there is no need to construct an optimization strategy;

[0031] If there is a comprehensive evaluation coefficient αi>a′ corresponding to a channel, an optimization strategy needs to be constructed for the channel.

[0032] Preferably, the process of constructing an optimization strategy specifically includes:

[0033]

[0034] The reference value Wi of the security risk in the signal transmission process of each channel is calculated by the above calculation formula;

[0035] in, They are respectively represented as preset correlation coefficients;

[0036] Compare the reference value Wi of the security risk in the signal transmission process of each channel with the preset standard value W′;

[0037] If there is a reference value Wi≤W′ indicating a security risk during the transmission of a channel signal, an alarm signal is output for the channel;

[0038] If there is a reference value Wi>W′ indicating a security risk during the channel signal transmission process, an alarm signal is output for the channel and management optimization is performed on the channel according to a preset first optimization measure.

[0039] Preferably, the transmission risk coefficient corresponding to each channel in the future period is estimated, specifically including:

[0040] In a preset time period, the comprehensive evaluation coefficient corresponding to each channel is collected in real time to form a time series, and the comprehensive evaluation coefficient corresponding to each channel is represented by a function αi(t) according to the time series;

[0041] By formula Confirm the change value Pi corresponding to the comprehensive evaluation coefficient of each channel;

[0042] Wherein, [t, t′] represents a preset time period, max(ai) and min(ai) represent the maximum comprehensive evaluation coefficient and the minimum comprehensive evaluation coefficient corresponding to each channel, respectively, and fw represents a preset adjustment function;

[0043] Compare the change value Pi corresponding to the comprehensive evaluation coefficient of each channel with the preset change threshold value P′;

[0044] If there is a change value Pi>P′ corresponding to the channel comprehensive evaluation coefficient, it is determined that the transmission risk of the channel in the future period of time will increase, and a warning message is output.

[0045] Preferably, the process of obtaining the marking times specifically includes:

[0046] In a preset window, abnormal data corresponding to each channel is obtained, and the number of abnormal times corresponding to each channel is extracted from the abnormal data, and the number of abnormal times is set as the number of marks corresponding to each channel.

[0047] In a second aspect, the present application provides an adaptive optimization method for multi-channel signal processing, comprising the following steps:

[0048] receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels to confirm characteristic data and abnormal data corresponding to each channel;

[0049] Analyze and process the characteristic data and abnormal data corresponding to each channel, conduct safety analysis on the signal transmission process of each channel based on the results of the analysis and processing, and build an optimization strategy based on the results of the safety analysis;

[0050] Responding to the optimization strategy, and outputting an alarm signal to each channel;

[0051] Estimate the transmission risk coefficient corresponding to each channel in the future.

[0052] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute any one of the above-described adaptive optimization systems for multi-channel signal processing.

[0053] In summary, the present application includes at least one of the following beneficial technical effects:

[0054] 1. The present application provides an adaptive optimization system for multi-channel signal processing, which receives input signals corresponding to multiple channels, extracts characteristic data and abnormal data corresponding to each channel, analyzes and processes the characteristic data and abnormal data corresponding to each channel, performs security analysis on the signal transmission process of each channel according to the results of the analysis and processing, and constructs an optimization strategy according to the results of the security analysis, thereby effectively performing in-depth analysis on signal characteristics, and dynamically adjusting the optimization strategy according to the actual signal environment, thereby effectively reducing the occurrence of signal quality degradation and bit error rate increase, thereby effectively improving communication quality;

[0055] 2. By collecting the comprehensive evaluation coefficients corresponding to each channel in real time, the change value corresponding to the comprehensive evaluation coefficient of each channel is confirmed, and the change value corresponding to the comprehensive evaluation coefficient of each channel is compared with the preset change threshold, and then the transmission risk of each channel in the future is estimated based on the comparison result, so as to make early warning in time, thereby effectively reducing the occurrence of signal quality degradation and bit error rate increase. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0057] Figure 1 It is a system diagram of adaptive optimization of multi-channel signal processing in an embodiment of the present application.

[0058] Figure 2 It is a flow chart of the method for adaptive optimization of multi-channel signal processing in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following is combined with Figure 1-2 This application is described in further detail.

[0060] Example 1

[0061] The embodiment of the present application discloses an adaptive optimization system for multi-channel signal processing.

[0062] Reference Figure 1 , an adaptive optimization system for multi-channel signal processing, comprising:

[0063] A signal acquisition module, used for receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels, and confirming characteristic data and abnormal data corresponding to each channel;

[0064] The processing module is used to analyze and process the characteristic data and abnormal data corresponding to each channel, perform safety analysis on the signal transmission process of each channel according to the results of the analysis and processing, and build an optimization strategy according to the results of the safety analysis;

[0065] A response optimization module, used to respond to the optimization strategy and output an alarm signal to each channel;

[0066] The estimation module is used to estimate the transmission risk coefficient corresponding to each channel in the future.

[0067] By adopting the above technical scheme, by receiving the input signals corresponding to multiple channels, the characteristic data and abnormal data corresponding to each channel are extracted, and the characteristic data and abnormal data corresponding to each channel are analyzed and processed. According to the results of the analysis and processing, the signal transmission process of each channel is security analyzed, and an optimization strategy is constructed according to the results of the security analysis, so as to effectively conduct in-depth analysis of the signal characteristics, and dynamically adjust the optimization strategy according to the actual signal environment, so as to effectively reduce the occurrence of signal quality degradation and bit error rate increase, thereby effectively improving the communication quality.

[0068] Further, the processing module includes a data identification unit, a data analysis unit and an abnormality marking unit;

[0069] The data identification unit is used to identify the signal characteristic data, statistical characteristic data and time characteristic data corresponding to each channel according to the characteristic data corresponding to each channel;

[0070] The signal characteristic data includes frequency response data, amplitude response data and phase response data;

[0071] The statistical characteristic data includes signal-to-noise ratio data, bit error rate data and path loss data;

[0072] The time characteristic data includes delay data and jitter data;

[0073] The data analysis unit is used to comprehensively analyze the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel;

[0074] The abnormal marking unit is used to mark abnormal channels.

[0075] It should be noted that the process of comprehensively analyzing the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel specifically includes:

[0076] The security risk in the signal transmission process of each channel is evaluated, and the evaluation process is as follows:

[0077] By formula Confirm the safety risk factor Ri during the signal transmission process of each channel;

[0078] Wherein, i represents the number corresponding to each channel, i=1,2,3...j, ΔFRi, ΔARi, ΔPRi represent the frequency response deviation, amplitude response deviation, and phase response deviation corresponding to the i-th channel, ω1, ω2, ω3 represent the weight coefficients, ni represents the number of markings corresponding to the i-th channel, and e is a natural constant;

[0079] Compare the safety risk coefficient Ri during the signal transmission of each channel with the preset safety risk threshold R′;

[0080] If there is a safety risk factor Ri≤R′ during the channel signal transmission process, there is no need to conduct a safety analysis on the channel;

[0081] If there is a safety risk factor Ri>R′ during the channel signal transmission process, a safety analysis is performed on the channel.

[0082] Specifically, in the embodiment of the present application, the frequency response deviation corresponding to the i-th channel can be calculated by the formula Get, where k represents the number corresponding to each frequency point, k = 1, 2, 3 ... N, FRi (k) represents the actual frequency response of the i-th channel at the k-th frequency point, and FRideal (k) represents the reference frequency response corresponding to the k-th frequency point;

[0083] Similarly, the acquisition principle of the amplitude response deviation and the phase response deviation corresponding to the i-th channel is consistent with the frequency response deviation.

[0084] It should be noted that the process of performing security analysis on the channel specifically includes:

[0085] Obtain the statistical characteristic data corresponding to each channel, and extract the signal-to-noise ratio data Snri, bit error rate data Beri and path loss data Pli corresponding to each channel from the statistical characteristic data, and then use the formula Determine the first evaluation coefficient βi corresponding to each channel;

[0086] Wherein, max(Snr), max(Ber), max(Pl) represent the preset maximum permitted signal-to-noise ratio, maximum permitted bit error rate, and maximum permitted path loss, respectively; min(Snr), min(Ber), min(Pl) represent the preset minimum permitted signal-to-noise ratio, minimum permitted bit error rate, and minimum permitted path loss, respectively; ψ1, ψ2, ψ3 represent the preset weight coefficients, respectively;

[0087] Obtain the time characteristic data corresponding to each channel, and extract the delay data Syi and jitter data Ddi corresponding to each channel from the time characteristic data, and then use the formula Determine the second evaluation coefficient γi corresponding to each channel, wherein Sy′ and Dd′ represent the preset standard delay data and standard jitter data respectively, and ξ1 and ξ2 represent the preset weight coefficients;

[0088] The comprehensive evaluation coefficient αi corresponding to each channel is determined by the formula αi=βi*a1+γi*a2, where a1 and a2 represent the preset correction coefficients respectively;

[0089] Compare the comprehensive evaluation coefficient αi corresponding to each channel with the preset comprehensive evaluation threshold α′;

[0090] If there is a comprehensive evaluation coefficient αi≤a′ corresponding to the channel, there is no need to construct an optimization strategy;

[0091] If there is a comprehensive evaluation coefficient αi>a′ corresponding to a channel, an optimization strategy needs to be constructed for the channel.

[0092] Specifically, by confirming the first evaluation coefficient of each channel based on the signal-to-noise ratio, bit error rate and path loss data of each channel, the performance and reliability of the communication system can be significantly improved. First, the signal-to-noise ratio provides an indicator of the clarity of the signal relative to the noise, and a high signal-to-noise ratio generally indicates better signal quality. Secondly, the bit error rate reflects the accuracy of signal transmission, and a lower bit error rate means more reliable data transmission. Path loss measures the degree of attenuation suffered by the signal during transmission, and a lower path loss helps maintain the strength and stability of the signal. By analyzing the above data, the performance of each channel can be more effectively identified and optimized, and the signal processing parameters can be dynamically adjusted to adapt to different signal environments and improve the overall communication quality.

[0093] By confirming the second evaluation coefficient of each channel based on the corresponding delay data and jitter data of each channel, the real-time performance and stability of the communication system can be significantly improved. Delay is an important indicator to measure the time required for a signal to be transmitted from the transmitter to the receiver. Lower delay means faster response speed, which is especially important in delay-sensitive application scenarios such as real-time communication, video conferencing, online games and industrial control. Jitter reflects the volatility of signal transmission time. Lower jitter can ensure the stability of signal transmission and avoid signal distortion or data loss caused by time inconsistency. By analyzing the delay and jitter data to obtain the second evaluation coefficient, the transmission performance of each channel can be dynamically evaluated, thereby identifying channels with potential delay or instability problems. Based on the second evaluation coefficient, high-risk channels can be optimized first, resource allocation can be adjusted or compensation mechanisms can be adopted to ensure the stability and efficiency of the overall communication network.

[0094] By combining the first evaluation coefficient of each channel (based on signal-to-noise ratio, bit error rate and path loss) with the second evaluation coefficient (based on latency and jitter), the comprehensive evaluation coefficient of each channel can be determined, which can comprehensively improve the overall performance and reliability of the communication system. The first evaluation coefficient provides an assessment of signal quality and transmission loss to ensure signal clarity and accuracy. The second evaluation coefficient focuses on the real-time and stability of transmission, ensuring low latency and consistent transmission speed. Combining the two into a comprehensive evaluation coefficient can obtain a full range of performance indicators, so as to more accurately identify and optimize the advantages and disadvantages of each channel. It not only helps the system to dynamically adjust parameters in a changing signal environment, but also effectively allocates resources, prioritizes high-risk channels, and ensures the stability and efficiency of the overall network.

[0095] Furthermore, the process of building an optimization strategy specifically includes:

[0096]

[0097] The reference value Wi of the security risk in the signal transmission process of each channel is calculated by the above calculation formula;

[0098] in, They are respectively represented as preset correlation coefficients; It can be obtained by fitting through historical data;

[0099] Compare the reference value Wi of the security risk in the signal transmission process of each channel with the preset standard value W′;

[0100] If there is a reference value Wi≤W′ indicating a security risk during the transmission of a channel signal, an alarm signal is output for the channel;

[0101] If there is a reference value Wi>W′ indicating a security risk during the channel signal transmission process, an alarm signal is output for the channel and management optimization is performed on the channel according to a preset first optimization measure.

[0102] Specifically, in the embodiment of the present application, the first optimization measure is set to adjust the signal processing parameters (such as filter settings, gain control, etc.), thereby effectively optimizing the management of the channel.

[0103] It should be noted that the transmission risk coefficients corresponding to each channel in the future are estimated to include:

[0104] In a preset time period, the comprehensive evaluation coefficient corresponding to each channel is collected in real time to form a time series, and the comprehensive evaluation coefficient corresponding to each channel is represented by a function αi(t) according to the time series;

[0105] By formula Confirm the change value Pi corresponding to the comprehensive evaluation coefficient of each channel;

[0106] Wherein, [t, t′] represents a preset time period, max(ai) and min(ai) represent the maximum comprehensive evaluation coefficient and the minimum comprehensive evaluation coefficient corresponding to each channel, respectively, and fw represents a preset adjustment function;

[0107] Compare the change value Pi corresponding to the comprehensive evaluation coefficient of each channel with the preset change threshold value P′;

[0108] If there is a change value Pi>P′ corresponding to the channel comprehensive evaluation coefficient, it is determined that the transmission risk of the channel in the future period of time will increase, and a warning message is output.

[0109] Specifically, by collecting the comprehensive evaluation coefficients corresponding to each channel in real time, the change values ​​corresponding to the comprehensive evaluation coefficients of each channel are confirmed, and the change values ​​corresponding to the comprehensive evaluation coefficients of each channel are compared with the preset change thresholds. Based on the comparison results, the transmission risks of each channel in the future are estimated, so as to make early warnings in time, thereby effectively reducing the occurrence of signal quality degradation and bit error rate increase.

[0110] Furthermore, the process of obtaining the number of markings specifically includes:

[0111] In a preset window, abnormal data corresponding to each channel is obtained, and the number of abnormal times corresponding to each channel is extracted from the abnormal data, and the number of abnormal times is set as the number of marks corresponding to each channel.

[0112] Example 2

[0113] The embodiment of the present application also discloses an adaptive optimization method for multi-channel signal processing.

[0114] Reference Figure 2 , an adaptive optimization method for multi-channel signal processing, comprising the following steps:

[0115] receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels to confirm characteristic data and abnormal data corresponding to each channel;

[0116] Analyze and process the characteristic data and abnormal data corresponding to each channel, conduct safety analysis on the signal transmission process of each channel based on the results of the analysis and processing, and build an optimization strategy based on the results of the safety analysis;

[0117] Responding to the optimization strategy, and outputting an alarm signal to each channel;

[0118] Estimate the transmission risk coefficient corresponding to each channel in the future.

[0119] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention, they should all fall within the protection scope of the present invention.

[0120] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0121] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well.

Claims

1. An adaptive optimization system for multi-channel signal processing, characterized in that: include: A signal acquisition module, used for receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels, and confirming characteristic data and abnormal data corresponding to each channel; The processing module is used to analyze and process the characteristic data and abnormal data corresponding to each channel, perform safety analysis on the signal transmission process of each channel according to the results of the analysis and processing, and build an optimization strategy according to the results of the safety analysis; A response optimization module, used to respond to the optimization strategy and output an alarm signal to each channel; The estimation module is used to estimate the transmission risk coefficient corresponding to each channel in the future.

2. The adaptive optimization system for multi-channel signal processing according to claim 1, characterized in that: The processing module includes a data identification unit, a data analysis unit and an abnormality marking unit; The data identification unit is used to identify the signal characteristic data, statistical characteristic data and time characteristic data corresponding to each channel according to the characteristic data corresponding to each channel; The signal characteristic data includes frequency response data, amplitude response data and phase response data; The statistical characteristic data includes signal-to-noise ratio data, bit error rate data and path loss data; The time characteristic data includes delay data and jitter data; The data analysis unit is used to perform comprehensive analysis on the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel; The abnormal marking unit is used to mark abnormal channels.

3. The adaptive optimization system for multi-channel signal processing according to claim 2, characterized in that: The process of comprehensively analyzing the signal characteristic data, statistical characteristic data, time characteristic data and abnormal data corresponding to each channel includes: The security risk in the signal transmission process of each channel is evaluated, and the evaluation process is as follows: The safety risk factor Ri in the signal transmission process of each channel is confirmed by the formula Ri=(ω1*ΔFRi+ω2*ΔARi+ω3*ΔPRi)*eni; Wherein, i represents the number corresponding to each channel, i=1,2,3...j, ΔFRi, ΔARi, ΔPRi represent the frequency response deviation, amplitude response deviation, and phase response deviation corresponding to the i-th channel, ω1, ω2, ω3 represent the weight coefficients, ni represents the number of markings corresponding to the i-th channel, and e is a natural constant; Compare the safety risk coefficient Ri during the signal transmission of each channel with the preset safety risk threshold R′; If there is a safety risk factor Ri≤R′ during the channel signal transmission process, there is no need to conduct a safety analysis on the channel; If there is a safety risk factor Ri>R′ during the channel signal transmission process, a safety analysis is performed on the channel.

4. The adaptive optimization system for multi-channel signal processing according to claim 3, characterized in that: The process of performing security analysis on the channel specifically includes: Obtain the statistical characteristic data corresponding to each channel, and extract the signal-to-noise ratio data Snri, bit error rate data Beri and path loss data Pli corresponding to each channel from the statistical characteristic data, and then use the formula Determine the first evaluation coefficient βi corresponding to each channel; Wherein, max(Snr), max(Ber), max(Pl) represent the preset maximum permitted signal-to-noise ratio, maximum permitted bit error rate, and maximum permitted path loss, respectively; min(Snr), min(Ber), min(Pl) represent the preset minimum permitted signal-to-noise ratio, minimum permitted bit error rate, and minimum permitted path loss, respectively; ψ1, ψ2, ψ3 represent the preset weight coefficients, respectively; Obtain the time characteristic data corresponding to each channel, and extract the delay data Syi and jitter data Ddi corresponding to each channel from the time characteristic data, and then use the formula Determine the second evaluation coefficient γi corresponding to each channel, wherein Sy′ and Dd′ represent the preset standard delay data and standard jitter data respectively, and ξ1 and ξ2 represent the preset weight coefficients; The comprehensive evaluation coefficient αi corresponding to each channel is determined by the formula αi=βi*a1+γi*a2, where a1 and a2 represent the preset correction coefficients respectively; Compare the comprehensive evaluation coefficient αi corresponding to each channel with the preset comprehensive evaluation threshold α′; If there is a comprehensive evaluation coefficient αi≤a′ corresponding to the channel, there is no need to construct an optimization strategy; If there is a comprehensive evaluation coefficient αi>a′ corresponding to a channel, an optimization strategy needs to be constructed for the channel.

5. The adaptive optimization system for multi-channel signal processing according to claim 4, characterized in that: The process of building an optimization strategy includes: The reference value Wi of the security risk in the signal transmission process of each channel is calculated by the above calculation formula; in, They are respectively represented as preset correlation coefficients; Compare the reference value Wi of the security risk in the signal transmission process of each channel with the preset standard value W′; If there is a reference value Wi≤W′ indicating a security risk during the transmission of a channel signal, an alarm signal is output for the channel; If there is a reference value Wi>W′ indicating a security risk during the channel signal transmission process, an alarm signal is output for the channel and management optimization is performed on the channel according to a preset first optimization measure.

6. The adaptive optimization system for multi-channel signal processing according to claim 5, characterized in that: Estimate the transmission risk coefficient of each channel in the future, including: In a preset time period, the comprehensive evaluation coefficient corresponding to each channel is collected in real time to form a time series, and the comprehensive evaluation coefficient corresponding to each channel is represented by a function αi(t) according to the time series; By formula Confirm the change value Pi corresponding to the comprehensive evaluation coefficient of each channel; Wherein, [t, t′] represents a preset time period, max(ai) and min(ai) represent the maximum comprehensive evaluation coefficient and the minimum comprehensive evaluation coefficient corresponding to each channel, respectively, and fw represents a preset adjustment function; Compare the change value Pi corresponding to the comprehensive evaluation coefficient of each channel with the preset change threshold value P′; If there is a change value Pi>P′ corresponding to the channel comprehensive evaluation coefficient, it is determined that the transmission risk of the channel in the future period of time will increase, and a warning message is output.

7. The adaptive optimization system for multi-channel signal processing according to claim 3, characterized in that: The process of obtaining the number of markings includes: In a preset window, abnormal data corresponding to each channel is obtained, and the number of abnormal times corresponding to each channel is extracted from the abnormal data, and the number of abnormal times is set as the number of marks corresponding to each channel.

8. An adaptive optimization method for multi-channel signal processing, applied to an adaptive optimization system for multi-channel signal processing according to any one of claims 1 to 7, characterized in that: The following steps are involved: Receiving input signals corresponding to a plurality of channels, and preprocessing the input signals corresponding to the plurality of channels, and confirming characteristic data and abnormal data corresponding to each channel; Analyze and process the characteristic data and abnormal data corresponding to each channel, conduct safety analysis on the signal transmission process of each channel based on the results of the analysis and processing, and build an optimization strategy based on the results of the safety analysis; Responding to the optimization strategy, and outputting an alarm signal to each channel; Estimate the transmission risk coefficient corresponding to each channel in the future.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the adaptive optimization system for multi-channel signal processing as claimed in any one of claims 1 to 7.

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