An automatic signal detection method and system for all-in-one computer

Abstract

The present application relates to an automated signal detection method and system for an all-in-one computer, the method comprising obtaining multiple timing signals of the all-in-one computer in operation within the same time period, and performing signal timing offset compensation processing to obtain a timing processing signal after signal processing, analyzing the signal-to-noise change of the timing processing signal in adjacent time periods, and performing noise suppression processing on the timing processing signal to obtain a signal-to-noise processing signal after signal-to-noise processing, obtaining a signal propagation path of each signal-to-noise processing signal, and analyzing the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculating the signal propagation distortion coefficient when the impedance is not matched, analyzing the signal attenuation and distortion change of the signal-to-noise processing signal in the signal propagation path, and evaluating the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer. The present application has the effect of improving the signal detection accuracy of the all-in-one computer.

Description

Technical Field

[0001] The present invention relates to the technical field of signal detection, and in particular to an automatic signal detection method and system for an all-in-one computer. Background Art

[0002] At present, with the continuous development of computer technology, all-in-one computers with higher integration have become an indispensable and convenient tool for people's life and work. Computer signals, as an operating evaluation indicator of all-in-one computers, are very important for the stable operation of all-in-one computers. Therefore, it is necessary to detect the operating signals of all-in-one computers.

[0003] The existing computer signal detection method usually controls the computer to enter the task manager that comes with the computer system through manual input of commands, inputs specific commands and receives corresponding feedback information to perform network signal testing, and judges the current signal status of the computer based on the response time of the computer to the input commands. However, due to the differences in the degree of integration of different models of all-in-one computers, the corresponding transmission lines, computer motherboard wiring layouts, etc. have different degrees of differences, which can easily cause signal crosstalk, noise, signal reflection and other situations that affect signal quality and stability, resulting in errors in the signal detection results of the all-in-one computer. There is a need for further improvement of the signal detection method of the all-in-one computer. Summary of the invention

[0004] In order to improve the signal detection accuracy of an all-in-one computer, the present application provides an automated signal detection method and system for an all-in-one computer.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] An automated signal detection method for an all-in-one computer, comprising:

[0007] Acquire multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing;

[0008] Analyzing the signal-to-noise changes of the time series processing signal in adjacent time periods, and performing noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing;

[0009] Acquire the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance is not matched;

[0010] The signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path are analyzed, and the signal transmission integrity is evaluated in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer.

[0011] By adopting the above technical scheme, when performing signal detection on the all-in-one computer, the timing offset compensation processing is performed on the multi-channel timing signals that are in operation in the same time period to reduce the timing errors of signal transmission in the same period, and the timing signals with different signal-noise changes are subjected to targeted noise suppression processing in combination with the signal-noise changes in adjacent time periods, which helps to reduce noise interference in the signal transmission process and improve the signal transmission integrity. In combination with the signal propagation path of each signal-noise processing signal, whether there is impedance and the impedance matching degree between the propagation media of different signal propagation paths are analyzed, so as to timely track and process the impedance-matched propagation signals, improve the accuracy of signal processing, and evaluate the transmission integrity of the transmission signal in combination with the signal attenuation and distortion changes in the signal propagation path and the signal propagation distortion coefficient, so as to obtain the signal detection result of the all-in-one computer, and improve the signal detection accuracy of the all-in-one computer by comprehensively considering multiple influencing factors affecting the signal transmission integrity.

[0012] In a preferred example, the present application can be further configured as follows: the analysis of the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path, and the evaluation of the signal transmission integrity in combination with the signal propagation distortion coefficient, to obtain the signal detection result of the all-in-one computer, specifically includes:

[0013] Acquire the signal propagation waveform of the signal-to-noise processed signal in the signal propagation path, analyze the amplitude changes of adjacent signal propagation waveforms, and calculate the signal amplitude difference between the input signal and the output signal of the signal propagation path;

[0014] Acquire the signal response frequency in the same time period, and evaluate the signal attenuation and distortion change of the signal-to-noise processed signal in the signal propagation path according to the signal amplitude difference and the signal response frequency to obtain signal decay data;

[0015] The signal loss coefficient of the all-in-one computer is calculated according to the signal decay data and the signal propagation distortion coefficient, and the signal transmission integrity is evaluated according to the signal loss coefficient to obtain the signal detection result of the all-in-one computer.

[0016] In a preferred example, the present application may be further configured as follows: calculating the signal loss coefficient of the all-in-one computer according to the signal decay data and the signal propagation distortion coefficient specifically includes:

[0017] (1);

[0018] in, Indicates the signal loss coefficient of the all-in-one computer, represents the signal propagation distortion coefficient, where represents the inherent inductance of the signal propagation path, represents the inherent capacitance of the signal propagation path, represents the signal propagation distortion coefficient, where Indicates the number of distorted signal waveforms in the signal propagation path. , Respectively represent the waveform peaks between adjacent signal propagation waveforms, , Represents the waveform propagation time difference between adjacent signal propagation waveforms, represents the signal propagation wavelength, Indicates the signal propagation wave speed.

[0019] By adopting the above technical scheme, the signal propagation waveform diagram of the signal-to-noise processing signal is used to analyze the amplitude change of the adjacent signal propagation waveform, so as to analyze the signal transmission drift or distortion through the waveform amplitude change, which helps to accurately analyze the signal change in the signal transmission process, and evaluate the signal attenuation and distortion change in combination with the signal response frequency, which helps to improve the accuracy of the signal attenuation and distortion evaluation. The signal integrity in the signal transmission process is evaluated through the signal loss coefficient related to the signal decay data and the signal propagation distortion coefficient, which helps to improve the accuracy of the signal integrity evaluation of the all-in-one computer.

[0020] In a preferred example, the present application can be further configured as follows: the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path are analyzed, and the signal transmission integrity is evaluated in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer, and also includes:

[0021] Acquire signal drift data of the all-in-one computer at different transmission temperatures, use the signal drift data and the corresponding transmission temperature conditions as parameters for data training, and analyze the effect of the transmission temperature on the drift of signal transmission;

[0022] The heating rate in adjacent time periods is calculated, and the signal drift influence relationship between signal drift and heating rate is constructed in combination with the signal drift influence analysis results;

[0023] The power supply fluctuation data in adjacent time periods is obtained, and the signal transmission integrity is supplementarily evaluated according to the power supply fluctuation data and the influence relationship of the signal drift, so as to obtain the comprehensive signal detection result of the all-in-one computer.

[0024] By adopting the above technical solution, combined with the signal drift data of the all-in-one computer at different transmission temperatures, the transmission temperature conditions and the corresponding signal drift data are used as parameters for data training, and the drift influence of the transmission temperature on the signal transmission is analyzed according to the training results, which helps to improve the analysis accuracy between temperature and signal drift. Combining the heating rate and the signal drift influence, a signal drift influence relationship is constructed, which helps to accurately detect the temperature influence of signal drift. In combination with the power supply fluctuation data, the power supply fluctuation and temperature influence are used as supplementary evaluation conditions to supplement the degree of signal transmission integrity, which helps to further improve the signal detection results of the all-in-one computer and expand the signal detection dimension of the all-in-one computer.

[0025] In a preferred example, the present application may be further configured as follows: the signal propagation path of each signal-to-noise processing signal is obtained, and the impedance matching degree of the signal propagation medium corresponding to the signal propagation path is analyzed, and the signal propagation distortion coefficient when the impedance is not matched is calculated, specifically including:

[0026] According to the signal propagation path of each signal-to-noise processing signal, analyzing the signal propagation medium change of the signal propagation path and the impedance change value corresponding to the signal propagation medium change;

[0027] Analyze the impedance matching degree of the signal propagation medium change according to the impedance change value and the propagation length of the signal propagation path, and evaluate the impact of impedance mutation when the impedance does not match;

[0028] The impedance value of the medium endpoint of the impedance mutation is adjusted according to the influence of the impedance mutation, and the adjusted double-terminal medium endpoint is subjected to endpoint re-matching processing to obtain adjusted impedance matching data.

[0029] By adopting the above technical scheme, combined with the signal propagation path to analyze the signal propagation medium change and impedance change, it is helpful to accurately detect the impact of medium change and impedance change in the signal propagation process. In combination with the length of the signal propagation path, the impedance matching degree in the presence of propagation medium changes is analyzed, and the impact of impedance mutation when impedance mismatch occurs is evaluated, which helps to analyze the interference source in the signal propagation process. By adjusting the impedance value of the medium endpoint, the impedance gap between adjacent transmission medium connection endpoints is reduced, and the matching degree of the two-end medium endpoints is improved, which helps to reduce the impact of impedance on signal propagation and improve the integrity of signal propagation.

[0030] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0031] An automated signal detection system for an all-in-one computer, comprising:

[0032] A timing data processing module is used to obtain multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing;

[0033] A signal-to-noise data processing module is used to analyze the signal-to-noise changes of the time series processing signal in adjacent time periods, and perform noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing;

[0034] An impedance data processing module, used to obtain the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance is not matched;

[0035] The detection data processing module is used to analyze the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path, and evaluate the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer.

[0036] By adopting the above technical scheme, when performing signal detection on the all-in-one computer, the timing offset compensation processing is performed on the multi-channel timing signals that are in operation in the same time period to reduce the timing errors of signal transmission in the same period, and the timing signals with different signal-noise changes are subjected to targeted noise suppression processing in combination with the signal-noise changes in adjacent time periods, which helps to reduce noise interference in the signal transmission process and improve the signal transmission integrity. In combination with the signal propagation path of each signal-noise processing signal, whether there is impedance and the impedance matching degree between the propagation media of different signal propagation paths are analyzed, so as to timely track and process the impedance-matched propagation signals, improve the accuracy of signal processing, and evaluate the transmission integrity of the transmission signal in combination with the signal attenuation and distortion changes in the signal propagation path and the signal propagation distortion coefficient, so as to obtain the signal detection result of the all-in-one computer, and improve the signal detection accuracy of the all-in-one computer by comprehensively considering multiple influencing factors affecting the signal transmission integrity.

[0037] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0038] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned automatic signal detection method for an all-in-one computer when executing the computer program.

[0039] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0040] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned automatic signal detection method for an all-in-one computer.

[0041] In summary, the present application includes at least one of the following beneficial technical effects:

[0042] 1. When performing signal detection on an all-in-one computer, the timing offset compensation processing is performed on multiple timing signals that are in operation in the same time period to reduce the timing errors of signal transmission in the same period, and the timing signals with different signal-noise changes are subjected to targeted noise suppression processing in combination with the signal-noise changes in adjacent time periods, which helps to reduce noise interference in the signal transmission process and improve signal transmission integrity. In combination with the signal propagation path of each signal-noise processing signal, whether there is impedance and the impedance matching degree between the propagation media of different signal propagation paths is analyzed, so as to timely track and process the impedance-matched propagation signals, improve the accuracy of signal processing, and evaluate the transmission integrity of the transmission signal in combination with the signal attenuation and distortion changes in the signal propagation path, as well as the signal propagation distortion coefficient, so as to obtain the signal detection result of the all-in-one computer, and improve the signal detection accuracy of the all-in-one computer by comprehensively considering multiple influencing factors affecting the integrity of signal transmission;

[0043] 2. Through the signal propagation waveform diagram of the signal-to-noise processing signal, the amplitude change of the adjacent signal propagation waveform is analyzed, so as to analyze the signal transmission drift or distortion through the waveform amplitude change, which is helpful to accurately analyze the signal change during the signal transmission process, and combine the signal response frequency to evaluate the signal attenuation and distortion changes, which is helpful to improve the accuracy of the signal attenuation and distortion evaluation. Through the signal loss coefficient related to the signal attenuation data and the signal propagation distortion coefficient, the signal integrity during the signal transmission process is evaluated, which is helpful to improve the accuracy of the signal integrity evaluation of the all-in-one computer;

[0044] 3. Combined with the signal drift data of the all-in-one computer at different transmission temperatures, the transmission temperature conditions and the corresponding signal drift data are used as parameters for data training. The drift influence of the transmission temperature on the signal transmission is analyzed according to the training results, which helps to improve the analysis accuracy between temperature and signal drift. Combined with the heating rate and the signal drift influence, the signal drift influence relationship is constructed, which helps to accurately detect the temperature influence of signal drift. Combined with the power supply fluctuation data, the power supply fluctuation and temperature influence are used as supplementary evaluation conditions to supplement the degree of signal transmission integrity, which helps to further improve the signal detection results of the all-in-one computer and expand the signal detection dimension of the all-in-one computer. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1This is a flow chart of an implementation of an automatic signal detection method for an all-in-one computer according to this embodiment.

[0046] Figure 2 4 is a flowchart for implementing step S30 of the automatic signal detection method for an all-in-one computer of this embodiment.

[0047] Figure 3 4 is a flowchart for implementing step S40 of the automatic signal detection method for an all-in-one computer of this embodiment.

[0048] Figure 4 This is a flowchart for implementing the automatic signal detection method of this embodiment to perform a supplementary evaluation of the signal integrity.

[0049] Figure 5 This is a structural block diagram of an automatic signal detection system for an all-in-one computer according to this embodiment.

[0050] Figure 6 It is a schematic diagram of the internal structure of a computer device used to implement an automated signal detection system for an all-in-one computer. DETAILED DESCRIPTION

[0051] The present application is further described in detail below in conjunction with the accompanying drawings.

[0052] In one embodiment, if Figure 1 As shown, the present application discloses an automatic signal detection method for an all-in-one computer, which specifically includes the following steps:

[0053] S10: Acquire multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing.

[0054] Specifically, multiple timing signals of the all-in-one computer in a running state within the same time period are obtained, such as a pulse signal corresponding to the software running when the all-in-one computer is in a running state, and timing offset compensation is performed by smooth clock switching of the signal with timing offset, thereby obtaining a timing processed signal after signal processing.

[0055] S20: analyzing the signal-to-noise variation of the time series processing signal in adjacent time periods, and performing noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing.

[0056] Specifically, waveform deviation analysis is performed on the signal waveform of the timing processing signal in adjacent periods, including jitter, bit error and interference of the signal waveform, so as to obtain the signal-to-noise change of the timing processing signal, and the timing processing signal is amplified by an amplifier, and the timing processing signal with a large signal-to-noise change is subjected to specific carrier separation and filtering, so as to obtain the signal-to-noise processed signal after signal-to-noise processing.

[0057] S30: Acquire the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance does not match.

[0058] Specifically, Figure 2 As shown, step S30 includes:

[0059] S301: Analyze the signal propagation medium change of the signal propagation path and the impedance change value corresponding to the signal propagation medium change according to the signal propagation path of each signal-to-noise processing signal.

[0060] Specifically, according to the signal output information and the signal input information, the signal propagation path of each signal-to-noise processing signal is analyzed, and the signal propagation medium on the signal propagation path is obtained, and the change of the signal propagation medium and the impedance change value corresponding to the change of the signal propagation cutoff are analyzed, wherein the signal propagation medium change includes changes in parameters such as medium type, bandwidth resources, length and width, and the impedance change value includes the impedance gap corresponding to the changes in different medium parameters.

[0061] S302: Analyze the impedance matching degree of the signal propagation medium change according to the impedance change value and the propagation length of the signal propagation path, and evaluate the impact of impedance mutation when the impedance does not match.

[0062] Specifically, according to the impedance change value and the propagation length of the signal propagation path, the signal attenuation value of the current propagation medium and the corresponding propagation length is analyzed, and impedance matching is performed on the next transmission stage after subtracting the signal attenuation value and the impedance change value from the input signal strength. The impact of impedance mutation when impedance does not match is evaluated based on the impedance matching degree, such as when the impedance value is greater than the signal transmission strength.

[0063] S303: adjusting the impedance value of the medium endpoint with the impedance mutation according to the influence of the impedance mutation, and performing endpoint re-matching processing on the adjusted double-terminal medium endpoint to obtain adjusted impedance matching data.

[0064] Specifically, according to the analysis result of the influence of impedance mutation, the impedance value of the medium endpoint is adjusted by connecting a parallel resistor at the impedance mutation position, so that the adjusted two-terminal medium endpoint is matched with the transmission line, thereby obtaining adjusted impedance matching data.

[0065] S40: Analyze the signal attenuation and distortion changes of the signal-to-noise processing signal in the signal propagation path, and evaluate the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer.

[0066] Specifically, Figure 3 As shown, step S40 includes:

[0067] S401: Acquire a signal propagation waveform of a signal-to-noise processing signal in a signal propagation path, analyze amplitude changes of adjacent signal propagation waveforms, and calculate a signal amplitude difference between an input signal and an output signal of the signal propagation path.

[0068] Specifically, the pulses of the signal-to-noise processing signal in the signal propagation path are plotted as a signal propagation waveform diagram, and the signal amplitude difference between the input signal and the output signal of the signal propagation path is calculated by comparing the amplitude changes of adjacent signal propagation waveforms.

[0069] S402: Acquire the signal response frequency within the same time period, and evaluate the signal attenuation and distortion change of the signal-to-noise processed signal in the signal propagation path according to the signal amplitude difference and the signal response frequency to obtain signal decay data.

[0070] Specifically, within the same time period, the signal response frequency of multiple timing signals is obtained, and the signal attenuation and distortion of the signal-to-noise processed signal is evaluated based on the signal amplitude difference and the signal response frequency. For example, the lower the response frequency, the greater the signal attenuation and distortion, thereby obtaining signal decay data.

[0071] In this embodiment, signal attenuation and distortion may also be compensated by an attenuator, an equalizer, etc.

[0072] S403: Calculate the signal loss coefficient of the all-in-one computer according to the signal attenuation data and the signal propagation distortion coefficient, and evaluate the signal transmission integrity according to the signal loss coefficient to obtain the signal detection result of the all-in-one computer.

[0073] Specifically, the signal loss coefficient of the all-in-one computer is calculated by formula (1), and formula (1) is as follows:

[0074] (1);

[0075] in, Indicates the signal loss coefficient of the all-in-one computer, represents the signal propagation distortion coefficient, where represents the inherent inductance of the signal propagation path, represents the inherent capacitance of the signal propagation path, represents the signal propagation distortion coefficient, where Indicates the number of distorted signal waveforms in the signal propagation path. , Respectively represent the waveform peaks between adjacent signal propagation waveforms, , Represents the waveform propagation time difference between adjacent signal propagation waveforms, represents the signal propagation wavelength, Indicates the signal propagation wave speed.

[0076] The signal transmission integrity is evaluated based on the signal loss coefficient. The larger the signal loss coefficient, the lower the signal integrity, thus obtaining the signal detection result of the all-in-one computer.

[0077] In one embodiment, if Figure 4 As shown, step S40 also includes:

[0078] S404: Acquire signal drift data of the all-in-one computer at different transmission temperatures, use the signal drift data and corresponding transmission temperature conditions as parameters for data training, and analyze the effect of the transmission temperature on the drift of signal transmission.

[0079] Specifically, the signal drift data of the all-in-one computer at different transmission temperatures is obtained, and the signal drift data and the corresponding transmission temperature conditions are used as parameters for unsupervised training to analyze the impact of different transmission temperatures on the drift of signal transmission.

[0080] S405: Calculate the heating rates in adjacent time periods, and construct a signal drift influence relationship between signal drift and heating rate in combination with the signal drift influence analysis result.

[0081] Specifically, the transmission temperature of each time period is obtained and the heating rate of adjacent time periods is calculated. Combined with the signal drift influence analysis results, the signal drift influence relationship between signal drift and heating rate is constructed.

[0082] S406: Obtain power fluctuation data in adjacent time periods, perform supplementary evaluation on the signal transmission integrity according to the power fluctuation data and the influence relationship of signal drift, and obtain a comprehensive signal detection result of the all-in-one computer.

[0083] Specifically, power fluctuation data within adjacent time periods are obtained, such as voltage fluctuation, power fluctuation, AC noise, etc. The power fluctuation data and signal drift influence relationship are used as power fluctuation factors and signal drift influence factors respectively to supplement the evaluation of signal transmission integrity, thereby obtaining a comprehensive signal detection result for the all-in-one computer.

[0084] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0085] In one embodiment, an automated signal detection system for an all-in-one computer is provided, and the automated signal detection system for an all-in-one computer corresponds one-to-one to the automated signal detection method for an all-in-one computer in the above embodiment. Figure 5 As shown, the automatic signal detection system for the all-in-one computer includes a timing data processing module, a signal-to-noise data processing module, an impedance data processing module and a detection data processing module. The detailed description of each functional module is as follows:

[0086] The timing data processing module is used to obtain multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing.

[0087] The signal-to-noise data processing module is used to analyze the signal-to-noise changes of the time series processing signal in adjacent time periods, and perform noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing.

[0088] The impedance data processing module is used to obtain the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance does not match.

[0089] The detection data processing module is used to analyze the signal attenuation and distortion changes of the signal-to-noise processing signal in the signal propagation path, and evaluate the integrity of the signal transmission in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer.

[0090] Preferably, the detection data processing module specifically includes:

[0091] The amplitude analysis submodule is used to obtain the signal propagation waveform of the signal-to-noise processing signal in the signal propagation path, analyze the amplitude changes of adjacent signal propagation waveforms, and calculate the signal amplitude difference between the input signal and the output signal of the signal propagation path.

[0092] The decay analysis submodule is used to obtain the signal response frequency within the same time period, and evaluate the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path according to the signal amplitude difference and the signal response frequency to obtain the signal decay data.

[0093] The integrity assessment submodule is used to calculate the signal loss coefficient of the all-in-one computer based on the signal decay data and the signal propagation distortion coefficient, and to evaluate the signal transmission integrity based on the signal loss coefficient to obtain the signal detection result of the all-in-one computer.

[0094] Preferably, in the integrity assessment submodule, the signal loss coefficient of the all-in-one computer is calculated according to the signal decay data and the signal propagation distortion coefficient, which specifically includes:

[0095] (1);

[0096] in, Indicates the signal loss coefficient of the all-in-one computer, represents the signal propagation distortion coefficient, where represents the inherent inductance of the signal propagation path, represents the inherent capacitance of the signal propagation path, represents the signal propagation distortion coefficient, where Indicates the number of distorted signal waveforms in the signal propagation path. , Respectively represent the waveform peaks between adjacent signal propagation waveforms, , Represents the waveform propagation time difference between adjacent signal propagation waveforms, represents the signal propagation wavelength, Indicates the signal propagation wave speed.

[0097] Preferably, the detection data processing module also includes:

[0098] The drift analysis submodule is used to obtain the signal drift data of the all-in-one computer under different transmission temperatures, use the signal drift data and the corresponding transmission temperature conditions as parameters for data training, and analyze the influence of the transmission temperature on the drift of signal transmission.

[0099] The relationship construction submodule is used to calculate the heating rate in adjacent time periods and to construct the signal drift influence relationship between signal drift and heating rate in combination with the signal drift influence analysis results.

[0100] The supplementary evaluation submodule is used to obtain power supply fluctuation data in adjacent time periods, and to perform a supplementary evaluation on the signal transmission integrity according to the power supply fluctuation data and the influence relationship of signal drift, so as to obtain the comprehensive signal detection result of the all-in-one computer.

[0101] Preferably, the impedance data processing module specifically includes:

[0102] The impedance analysis submodule is used to analyze the signal propagation medium change of the signal propagation path and the impedance change value corresponding to the signal propagation medium change according to the signal propagation path of each signal-to-noise processing signal.

[0103] The mutation analysis submodule is used to analyze the impedance matching degree of the signal propagation medium change according to the impedance change value and the propagation length of the signal propagation path, and to evaluate the impact of impedance mutation when the impedance does not match.

[0104] The impedance adjustment submodule is used to adjust the impedance value of the medium endpoint with impedance mutation according to the influence of impedance mutation, and perform endpoint re-matching processing on the adjusted double-terminal medium endpoint to obtain adjusted impedance matching data.

[0105] For the specific definition of the automated signal detection system for all-in-one computers, please refer to the definition of the automated signal detection method for all-in-one computers in the above text, which will not be repeated here. Each module in the above-mentioned automated signal detection system for all-in-one computers can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0106] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store signal detection data of the all-in-one computer. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an automatic signal detection method for an all-in-one computer is implemented.

[0107] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of an automated signal detection method for an all-in-one computer are implemented.

[0108] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0109] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0110] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An automated signal detection method for an all-in-one computer, characterized in that: include: Acquire multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing; Analyzing the signal-to-noise changes of the time series processing signal in adjacent time periods, and performing noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing; Acquire the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance is not matched; Analyze the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path, and evaluate the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer; The analysis of the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path and the evaluation of the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer specifically includes: Acquire the signal propagation waveform of the signal-to-noise processed signal in the signal propagation path, analyze the amplitude changes of adjacent signal propagation waveforms, and calculate the signal amplitude difference between the input signal and the output signal of the signal propagation path; Acquire the signal response frequency in the same time period, and evaluate the signal attenuation and distortion change of the signal-to-noise processed signal in the signal propagation path according to the signal amplitude difference and the signal response frequency to obtain signal decay data; Calculating the signal loss coefficient of the all-in-one computer according to the signal attenuation data and the signal propagation distortion coefficient, and evaluating the signal transmission integrity according to the signal loss coefficient to obtain a signal detection result of the all-in-one computer; The step of calculating the signal loss coefficient of the all-in-one computer according to the signal attenuation data and the signal propagation distortion coefficient specifically includes: （1）； in, Indicates the signal loss coefficient of the all-in-one computer, represents the signal propagation distortion coefficient, where represents the inherent inductance of the signal propagation path, represents the inherent capacitance of the signal propagation path, represents the signal propagation distortion coefficient, where Indicates the number of distorted signal waveforms in the signal propagation path. , Respectively represent the waveform peaks between adjacent signal propagation waveforms, , Represents the waveform propagation time difference between adjacent signal propagation waveforms, represents the signal propagation wavelength, Indicates the signal propagation wave speed.

2. The automatic signal detection method for an all-in-one computer according to claim 1, characterized in that: The analyzing the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path, and evaluating the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain the signal detection result of the all-in-one computer, also includes: Acquire signal drift data of the all-in-one computer at different transmission temperatures, use the signal drift data and the corresponding transmission temperature conditions as parameters for data training, and analyze the effect of the transmission temperature on the drift of signal transmission; The heating rate in adjacent time periods is calculated, and the signal drift influence relationship between signal drift and heating rate is constructed in combination with the signal drift influence analysis results; The power supply fluctuation data in adjacent time periods is obtained, and the signal transmission integrity is supplementarily evaluated according to the power supply fluctuation data and the influence relationship of the signal drift, so as to obtain the comprehensive signal detection result of the all-in-one computer.

3. The automatic signal detection method for an all-in-one computer according to claim 1, characterized in that: The obtaining of the signal propagation path of each signal-to-noise processing signal, analyzing the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculating the signal propagation distortion coefficient when the impedance is not matched, specifically includes: According to the signal propagation path of each signal-to-noise processing signal, analyzing the signal propagation medium change of the signal propagation path and the impedance change value corresponding to the signal propagation medium change; Analyze the impedance matching degree of the signal propagation medium change according to the impedance change value and the propagation length of the signal propagation path, and evaluate the impact of impedance mutation when the impedance does not match; The impedance value of the medium endpoint of the impedance mutation is adjusted according to the influence of the impedance mutation, and the adjusted double-terminal medium endpoint is subjected to endpoint re-matching processing to obtain adjusted impedance matching data.

4. An automated signal detection system for an all-in-one computer, characterized in that: include: A timing data processing module is used to obtain multiple timing signals of the all-in-one computer in a running state within the same time period, perform signal timing offset compensation processing on the multiple timing signals, and obtain a timing processing signal after signal processing; A signal-to-noise data processing module is used to analyze the signal-to-noise changes of the time series processing signal in adjacent time periods, and perform noise suppression processing on the time series processing signal to obtain a signal-to-noise processed signal after signal-to-noise processing; An impedance data processing module, used to obtain the signal propagation path of each signal-to-noise processing signal, analyze the impedance matching degree of the signal propagation medium corresponding to the signal propagation path, and calculate the signal propagation distortion coefficient when the impedance is not matched; A detection data processing module is used to analyze the signal attenuation and distortion changes of the signal-to-noise processed signal in the signal propagation path, and to evaluate the signal transmission integrity in combination with the signal propagation distortion coefficient to obtain a signal detection result of the all-in-one computer; Wherein, the detection data processing module specifically includes: an amplitude analysis submodule, for obtaining a signal propagation waveform of the signal-to-noise processed signal in the signal propagation path, analyzing amplitude changes of adjacent signal propagation waveforms, and calculating a signal amplitude difference between an input signal and an output signal of the signal propagation path; A decay analysis submodule, used to obtain the signal response frequency within the same time period, and evaluate the signal attenuation and distortion change of the signal-to-noise processed signal in the signal propagation path according to the signal amplitude difference and the signal response frequency, to obtain signal decay data; An integrity evaluation submodule, used to calculate the signal loss coefficient of the all-in-one computer according to the signal decay data and the signal propagation distortion coefficient, and to evaluate the signal transmission integrity according to the signal loss coefficient to obtain a signal detection result of the all-in-one computer; The step of calculating the signal loss coefficient of the all-in-one computer according to the signal attenuation data and the signal propagation distortion coefficient specifically includes: （1）； in, Indicates the signal loss coefficient of the all-in-one computer, represents the signal propagation distortion coefficient, where represents the inherent inductance of the signal propagation path, represents the inherent capacitance of the signal propagation path, represents the signal propagation distortion coefficient, where Indicates the number of distorted signal waveforms in the signal propagation path. , Respectively represent the waveform peaks between adjacent signal propagation waveforms, , Represents the waveform propagation time difference between adjacent signal propagation waveforms, represents the signal propagation wavelength, Indicates the signal propagation wave speed.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the automatic signal detection method for an all-in-one computer as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the automatic signal detection method for an all-in-one computer as claimed in any one of claims 1 to 3 are implemented.

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