A circuit characteristic impedance online design and analysis method, system, medium and electronic equipment

Abstract

The present invention relates to the technical field of circuit characteristic testing, and more specifically, to an online design and analysis method, system, medium, and electronic device for circuit characteristic impedance. The solution includes using voltage and current probes to collect voltage and current signals in a circuit in real time; performing fast Fourier transform on the collected signals to obtain frequency division data of different frequency components; establishing a frequency division impedance model based on the collected frequency division data, which takes into account the characteristics of the circuit at different frequencies; drawing UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis; optimizing the model one by one based on the UI characteristic curve to form analysis results; and generating specific design suggestions based on the results of the model optimization. The solution improves the design efficiency of electronic products by revealing the behavioral characteristics of the circuit at different frequencies, combining it with optimizing the model one by one, and generating specific design suggestions based on the optimization results.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit characteristic testing, and more specifically, to an online design and analysis method, system, medium and electronic equipment for circuit characteristic impedance. Background Art

[0002] In the field of circuit characteristic testing, studying online design and analysis methods and systems for circuit characteristic impedance is of great significance and importance. As the complexity of electronic equipment increases, the requirements for circuit performance are also becoming higher and higher. Especially in high-frequency and high-speed signal transmission, the characteristic impedance of the circuit directly affects the integrity of the signal and the reliability of the system. Therefore, developing a method and system that can accurately analyze and optimize the characteristic impedance of the circuit in real time is crucial to improving the design efficiency of electronic products, shortening the R&D cycle, and ensuring product quality. This technology can help engineers predict and solve potential problems in the design stage, thereby avoiding expensive modification and debugging costs later, and also provides a solid foundation for the innovation of high-performance electronic devices.

[0003] Prior to the present invention, online design and analysis methods for circuit characteristic impedance primarily relied on manual calculations and EDA modeling. These methods present several significant difficulties and key issues. Manual calculations are often inaccurate because the impedance in a circuit involves not only resistance but also reactance (caused by capacitance and inductance), and these parameters vary with frequency. Furthermore, complex circuits may contain a large number of components and nodes, making manual calculations time-consuming and error-prone. While modeling using EDA (electronic design automation) equipment can improve accuracy, it requires extensive modeling work and requires high professional qualifications from the modeler. Furthermore, EDA equipment licensing fees are typically high, increasing R&D costs. Accurate circuit network analysis also requires extensive data collection and processing, further increasing technical difficulty and cost. In summary, existing online design and analysis methods for circuit characteristic impedance suffer from difficulties and key issues such as insufficient accuracy, complex operation, and high cost. A new, more efficient, accurate, and cost-effective method is urgently needed to address these issues. Summary of the Invention

[0004] In view of the above problems, the present invention proposes an online design and analysis method, system, medium and electronic device for circuit characteristic impedance. By revealing the behavioral characteristics of the circuit at different frequencies, it provides key information for the optimization model, optimizes the model one by one, and generates specific design suggestions based on the optimization results, thereby improving the design efficiency of electronic products, shortening the R&D cycle and ensuring product quality.

[0005] According to a first aspect of an embodiment of the present invention, a method for online design and analysis of circuit characteristic impedance is provided.

[0006] In one or more embodiments, preferably, the circuit characteristic impedance online design and analysis method includes:

[0007] Use voltage and current probes to collect voltage and current signals in the circuit in real time;

[0008] Perform fast Fourier transform on the collected signal to obtain frequency division data of different frequency components;

[0009] Based on the collected frequency division data, a frequency division impedance model is established, which takes into account the characteristics of the circuit at different frequencies;

[0010] Based on the results of fast Fourier transform analysis, the UI characteristic curves at different frequencies are drawn;

[0011] According to the UI characteristic curve, the models are optimized one by one to form analysis results;

[0012] Generate specific design recommendations based on the results of model optimization.

[0013] In one or more embodiments, preferably, the step of using voltage and current probes to collect voltage and current signals in the circuit in real time specifically includes:

[0014] Clamp the current probe onto the wire in the circuit through which the current to be measured flows, ensuring that the probe can accurately measure the magnitude and direction of the current;

[0015] Start the data acquisition device to record the output signals of the voltage and current probes in real time and transmit these signals to the data processing unit.

[0016] In one or more embodiments, preferably, performing fast Fourier transform on the collected signal to obtain frequency division data of different frequency components specifically includes:

[0017] The collected time-domain voltage and current signals are digitized and converted into digital signals suitable for FFT analysis;

[0018] Apply the Fast Fourier Transform algorithm to the digitized signal to convert it from the time domain to the frequency domain to reveal information about different frequency components;

[0019] Analyze the FFT results, identify and extract the collected data of the preset key frequency band as the frequency division data.

[0020] In one or more embodiments, preferably, a frequency division impedance model is established based on the collected frequency division data. The model takes into account the characteristics of the circuit at different frequencies, and specifically includes:

[0021] Preprocess the collected voltage and current signals, including denoising, filtering and baseline correction;

[0022] The results of the fast Fourier transform are matched to the circuit characteristics at different frequencies.

[0023] In one or more embodiments, preferably, drawing UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis specifically includes:

[0024] Extract the voltage and current amplitude and phase information of each key frequency component from the fast Fourier transform analysis results;

[0025] For each frequency component, calculate the corresponding impedance value and use these impedance values ​​to draw the voltage-current characteristic curve;

[0026] The UI characteristic curves at all frequencies are integrated together to form a complete frequency response diagram to intuitively display the characteristics of the circuit at different frequencies.

[0027] In one or more embodiments, preferably, optimizing the models one by one according to the UI characteristic curve to form analysis results specifically includes:

[0028] Obtain all UI characteristic curves and segment different frequencies according to a preset segmentation boundary;

[0029] Calculate the dispersion of the UI characteristics in each frequency segment using the first calculation formula;

[0030] determining whether the dispersion satisfies a second calculation formula, and if so, calculating the equivalent resistance using a third calculation formula;

[0031] If not, then fit two frequency division curves that meet the fourth calculation formula, the first one is the curve corresponding to the average resistance of the adjacent frequency band below the frequency, and the second one is the curve corresponding to the average resistance of the adjacent frequency band below the frequency;

[0032] Equalize the two crossover curves using the fifth calculation formula to obtain an equivalent curve;

[0033] If the sixth calculation formula is satisfied, the design needs to be adjusted to increase the corresponding frequency band;

[0034] The first calculation formula is:

[0035] F=(RMAX-RMIN)÷RAVG

[0036] Where F is the dispersion, RMAX is the maximum resistance in each frequency segment, RMIN is the minimum resistance in each frequency segment, and RAVG is the average resistance in each frequency segment;

[0037] The second calculation formula is:

[0038] F <Y

[0039] Where F is the dispersion, Y is the dispersion contrast threshold;

[0040] The third calculation formula is:

[0041] DX=Z1+Z2

[0042] Where DX is the equivalent resistance, Z1 is the maximum average resistance of the key frequency of the adjacent frequency bands, and Z2 is the minimum average resistance of the key frequency of the adjacent frequency bands.

[0043] The fourth calculation formula is:

[0044] Rf=G(f)

[0045] Where G() is the mapping function of different frequencies, f is the frequency of different frequency bands, and Rf is the resistance value of different frequency bands;

[0046] The fifth calculation formula is:

[0047] DX=0.5×Rf1+0.5×Rf2

[0048] Wherein, DX is the equivalent resistance, Rf1 is the resistance value of the first frequency division curve, and Rf2 is the resistance value of the second frequency division curve;

[0049] The sixth calculation formula is:

[0050] (DX-S(f))÷S(f)>0.2

[0051] Where S(f) is the standard resistance at frequency f.

[0052] In one or more embodiments, preferably, generating specific design suggestions based on the model optimization results specifically includes:

[0053] Analyze the optimized impedance model to identify circuit characteristics that need improvement, such as frequency response, signal integrity, or power consumption;

[0054] For the identified improvement points, specific design suggestions are provided, including changing component parameters, adjusting circuit layout, new materials and new technologies;

[0055] Re-evaluate the effectiveness of the proposed design suggestions and verify them online.

[0056] According to a second aspect of an embodiment of the present invention, a system for online design and analysis of circuit characteristic impedance is provided.

[0057] In one or more embodiments, preferably, the circuit characteristic impedance online design and analysis system includes:

[0058] A data acquisition module, used to acquire voltage and current signals in the circuit in real time using voltage and current probes;

[0059] The frequency division decomposition module is used to perform fast Fourier transform on the collected signal to obtain the frequency division data of different frequency components;

[0060] A model building module is used to build a frequency-divided impedance model based on the collected frequency-divided data, which takes into account the characteristics of the circuit at different frequencies;

[0061] Curve analysis module, used to draw UI characteristic curves at different frequencies based on the results of fast Fourier transform analysis;

[0062] The optimization generation module is used to optimize the model one by one according to the UI characteristic curve to form the analysis results;

[0063] The suggestion generation module is used to generate specific design suggestions based on the results of model optimization.

[0064] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to any one of the first aspect of the embodiment of the present invention is implemented.

[0065] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0066] The technical solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0067] The solution of the present invention uses a frequency division model to evaluate and compare different impedance characteristics online, thereby improving the accuracy of impedance analysis.

[0068] The solution of the present invention extracts the key frequency and performs online segmented analysis in combination with the preset standard frequency-division impedance characteristics, and performs different processing methods on the high and low dispersion to achieve accurate impedance characteristic equivalence and online calibration effects.

[0069] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0070] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0072] Figure 1 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention.

[0073] Figure 2 The present invention is a flowchart of using voltage and current probes in a method for online design and analysis of circuit characteristic impedance according to an embodiment of the present invention to collect voltage and current signals in a circuit in real time.

[0074] Figure 3 The present invention is a flowchart of performing fast Fourier transform on a collected signal in an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention to obtain frequency division data of different frequency components.

[0075] Figure 4 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention, which establishes a frequency-divided impedance model based on collected frequency-divided data, and the model takes into account the characteristics of the circuit at different frequencies.

[0076] Figure 5 The present invention is a flowchart of a method for online design and analysis of circuit characteristic impedance in an embodiment of the present invention for drawing UI characteristic curves at different frequencies based on the results of fast Fourier transform analysis.

[0077] Figure 6 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance, in which models are optimized one by one according to UI characteristic curves to generate analysis results.

[0078] Figure 7 The present invention is a flowchart for generating specific design suggestions based on model optimization results in an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention.

[0079] Figure 8 The figure is a structural diagram of an online circuit characteristic impedance design and analysis system according to an embodiment of the present invention.

[0080] Figure 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0081] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0082] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0083] In the field of circuit characteristic testing, studying online design and analysis methods and systems for circuit characteristic impedance is of great significance and importance. As the complexity of electronic equipment increases, the requirements for circuit performance are also becoming higher and higher. Especially in high-frequency and high-speed signal transmission, the characteristic impedance of the circuit directly affects the integrity of the signal and the reliability of the system. Therefore, developing a method and system that can accurately analyze and optimize the characteristic impedance of the circuit in real time is crucial to improving the design efficiency of electronic products, shortening the R&D cycle, and ensuring product quality. This technology can help engineers predict and solve potential problems in the design stage, thereby avoiding expensive modification and debugging costs later, and also provides a solid foundation for the innovation of high-performance electronic devices.

[0084] Prior to the present invention, online design and analysis methods for circuit characteristic impedance primarily relied on manual calculations and EDA modeling. These methods present several significant difficulties and key issues. Manual calculations are often inaccurate because the impedance in a circuit involves not only resistance but also reactance (caused by capacitance and inductance), and these parameters vary with frequency. Furthermore, complex circuits may contain a large number of components and nodes, making manual calculations time-consuming and error-prone. While modeling using EDA (electronic design automation) equipment can improve accuracy, it requires extensive modeling work and requires high professional qualifications from the modeler. Furthermore, EDA equipment licensing fees are typically high, increasing R&D costs. Accurate circuit network analysis also requires extensive data collection and processing, further increasing technical difficulty and cost. In summary, existing online design and analysis methods for circuit characteristic impedance suffer from difficulties and key issues such as insufficient accuracy, complex operation, and high cost. A new, more efficient, accurate, and cost-effective method is urgently needed to address these issues.

[0085] The present invention provides an online design and analysis method, system, medium, and electronic device for circuit characteristic impedance. This solution reveals the circuit's behavioral characteristics at different frequencies, providing key information for optimizing models. This solution then optimizes each model individually and generates specific design recommendations based on the optimization results, improving electronic product design efficiency, shortening R&D cycles, and ensuring product quality.

[0086] According to a first aspect of an embodiment of the present invention, a method for online design and analysis of circuit characteristic impedance is provided.

[0087] Figure 1 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention.

[0088] In one or more embodiments, preferably, the circuit characteristic impedance online design and analysis method includes:

[0089] S101, using voltage and current probes to collect voltage and current signals in the circuit in real time;

[0090] S102, performing fast Fourier transform on the collected signal to obtain frequency division data of different frequency components;

[0091] S103, establishing a frequency division impedance model based on the collected frequency division data, wherein the model takes into account the characteristics of the circuit at different frequencies;

[0092] S104. Drawing UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis;

[0093] S105. Optimize the models one by one according to the UI characteristic curve to generate analysis results;

[0094] S106. Generate specific design suggestions based on the results of the model optimization.

[0095] In an embodiment of the present invention, 1) Data acquisition: Real-time data acquisition is performed using high-precision voltage and current probes to ensure that accurate voltage and current signals are obtained. These probes can accurately capture transient changes in the circuit and provide a reliable data basis for subsequent analysis. 2) Model establishment: Based on the collected data, a frequency-divided impedance model is established. This model takes into account the characteristics of the circuit at different frequencies and can more accurately reflect the actual working state of the circuit. 3) FFT (Fast Fourier Transform) analysis is performed in different frequency bands and levels: FFT analysis is performed on the collected signals to obtain information on different frequency components such as DC, AC fundamental frequency, and double frequency. This step is critical because it can reveal the behavioral characteristics of the circuit at different frequencies. 4) Formation of UI (voltage-current) characteristic curves under frequency division: Based on the results of the FFT analysis, UI characteristic curves at different frequencies are drawn. These curves intuitively show the impedance changes of the circuit at different frequencies. 5) Optimize the model one by one: According to the UI characteristic curve, the model is optimized one by one. 6) Generate suggestions based on the model optimization results: Finally, specific design suggestions are generated based on the results of the model optimization. These suggestions can help engineers predict and solve potential problems during the design phase, thereby improving electronic product design efficiency, shortening R&D cycles, and ensuring product quality.

[0096] Figure 2 The present invention is a flowchart of using voltage and current probes in a method for online design and analysis of circuit characteristic impedance according to an embodiment of the present invention to collect voltage and current signals in a circuit in real time.

[0097] like Figure 2 As shown, in one or more embodiments, preferably, the real-time acquisition of voltage and current signals in the circuit using voltage and current probes specifically includes:

[0098] S201. Clamp the current probe onto the wire through which the current to be measured flows in the circuit, ensuring that the probe can accurately measure the magnitude and direction of the current;

[0099] S202 , starting a data acquisition device to record output signals of the voltage and current probes in real time, and transmitting these signals to a data processing unit.

[0100] In an embodiment of the present invention, a voltage probe is first connected to a predetermined measurement point in a circuit, such as a specific pin or node on a circuit board, to ensure good and stable contact between the probe and the circuit. Next, a current probe is clamped to a conductor in the circuit through which the current to be measured flows, ensuring that the probe can accurately measure the magnitude and direction of the current. Finally, a data acquisition device is activated to record the output signals of the voltage and current probes in real time and transmit these signals to a data processing unit for further analysis. In this way, accurate voltage and current information of the circuit under different operating conditions can be obtained, providing reliable data support for subsequent circuit design and optimization.

[0101] Figure 3 The present invention is a flowchart of performing fast Fourier transform on a collected signal in an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention to obtain frequency division data of different frequency components.

[0102] like Figure 3 As shown, in one or more embodiments, preferably, performing fast Fourier transform on the collected signal to obtain frequency division data of different frequency components specifically includes:

[0103] S301, digitizing the collected time-domain voltage and current signals and converting them into digital signals suitable for FFT analysis;

[0104] S302, applying a fast Fourier transform algorithm to the digitized signal to convert it from the time domain to the frequency domain to reveal information of different frequency components;

[0105] S303: Analyze the FFT results, identify and extract the collected data of the preset key frequency band as the frequency division data.

[0106] In an embodiment of the present invention, first, the collected time-domain voltage and current signals are digitized, for example, by converting the analog signals into digital signals suitable for FFT analysis through an analog-to-digital converter (ADC). Next, a fast Fourier transform (FFT) algorithm is applied to the digitized signals to convert them from the time domain to the frequency domain to reveal information about different frequency components. Finally, the FFT results are analyzed to identify and extract the collected data of preset key frequency bands, such as DC, AC base frequency, and double frequency, as frequency division data. In this way, the characteristic information of the circuit at different frequencies can be accurately obtained, providing data support for the subsequent establishment of an impedance model.

[0107] Figure 4 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention, which establishes a frequency-divided impedance model based on collected frequency-divided data, and the model takes into account the characteristics of the circuit at different frequencies.

[0108] like Figure 4 As shown, in one or more embodiments, preferably, a frequency division impedance model is established based on the collected frequency division data, and the model takes into account the characteristics of the circuit at different frequencies, specifically including:

[0109] S401, preprocessing the collected voltage and current signals, including denoising, filtering, and baseline correction;

[0110] S402 , matching the fast Fourier transform result to circuit characteristics at different frequencies.

[0111] In an embodiment of the present invention, first, the collected voltage and current signals are preprocessed, including denoising, filtering and baseline correction, to improve signal quality and reduce the impact of noise on subsequent analysis. Next, the preprocessed signal is subjected to a fast Fourier transform (FFT) to obtain information on different frequency components. Then, based on the FFT results, the data of key frequency components, such as DC, AC fundamental frequency, and double frequency, are identified and extracted. Finally, the data of these key frequency components are matched to the circuit characteristics at different frequencies to establish a frequency-divided impedance model. In this way, the characteristics of the circuit at different frequencies can be accurately simulated, providing reliable data support for circuit design and optimization.

[0112] Figure 5 The present invention is a flowchart of a method for online design and analysis of circuit characteristic impedance in an embodiment of the present invention for drawing UI characteristic curves at different frequencies based on the results of fast Fourier transform analysis.

[0113] like Figure 5 As shown, in one or more embodiments, preferably, drawing UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis specifically includes:

[0114] S501, extracting voltage and current amplitude and phase information of each key frequency component from the fast Fourier transform analysis result;

[0115] S502, for each frequency component, calculating the corresponding impedance value, and using these impedance values ​​to draw a voltage-current characteristic curve;

[0116] S503. Integrate the UI characteristic curves at all frequencies to form a complete frequency response graph to intuitively display the characteristics of the circuit at different frequencies.

[0117] In an embodiment of the present invention, first, the voltage and current amplitude and phase information for each key frequency component are extracted from the FFT analysis results. For example, assume that the FFT results show that the circuit has significant characteristic changes at key frequencies such as DC, AC fundamental frequency, and double frequency. Next, for each frequency component, the corresponding impedance value is calculated. This can be achieved using Ohm's law, that is, impedance is equal to the ratio of voltage to current. Then, using these calculated impedance values, the UI characteristic curve for each frequency component is plotted. These curves will show the relationship between voltage and current and reveal the behavior of the circuit at different frequencies. Finally, the UI characteristic curves at all frequencies are integrated together to form a complete frequency response diagram. This diagram can intuitively display the characteristics of the circuit at different frequencies, helping engineers understand the frequency response characteristics of the circuit and providing data support for further design optimization. In this way, the performance of the circuit under various frequency conditions can be fully understood, providing strong support for improving circuit design.

[0118] Figure 6 The present invention is a flowchart of an online design and analysis method for circuit characteristic impedance, in which models are optimized one by one according to UI characteristic curves to generate analysis results.

[0119] like Figure 6 As shown, in one or more embodiments, preferably, the model is optimized one by one according to the UI characteristic curve to form an analysis result, which specifically includes:

[0120] S601, obtaining all UI characteristic curves, and segmenting different frequencies according to a preset segmentation boundary;

[0121] S602, calculating dispersion of UI characteristics in each frequency segment using a first calculation formula;

[0122] S603, determining whether the dispersion satisfies the second calculation formula, and if so, calculating the equivalent resistance using a third calculation formula;

[0123] S604: If not, fit two frequency division curves that satisfy the fourth calculation formula, the first being a curve corresponding to the average resistance of adjacent frequency bands lower than the frequency, and the second being a curve corresponding to the average resistance of adjacent frequency bands lower than the frequency;

[0124] S605, equalize the two frequency division curves using the fifth calculation formula to obtain an equivalent curve;

[0125] S606: If the sixth calculation formula is satisfied, it is determined that the design needs to be adjusted to increase the corresponding frequency band;

[0126] The first calculation formula is:

[0127] F=(RMAX-RMIN)÷RAVG

[0128] Where F is the dispersion, RMAX is the maximum resistance in each frequency segment, RMIN is the minimum resistance in each frequency segment, and RAVG is the average resistance in each frequency segment;

[0129] The second calculation formula is:

[0130] F <Y

[0131] Where F is the dispersion, Y is the dispersion contrast threshold;

[0132] The third calculation formula is:

[0133] DX=Z1+Z2

[0134] Where DX is the equivalent resistance, Z1 is the maximum average resistance of the key frequency of the adjacent frequency bands, and Z2 is the minimum average resistance of the key frequency of the adjacent frequency bands.

[0135] The fourth calculation formula is:

[0136] Rf=G(f)

[0137] Where G() is the mapping function of different frequencies, f is the frequency of different frequency bands, and Rf is the resistance value of different frequency bands;

[0138] The fifth calculation formula is:

[0139] DX=0.5×Rf1+0.5×Rf2

[0140] Wherein, DX is the equivalent resistance, Rf1 is the resistance value of the first frequency division curve, and Rf2 is the resistance value of the second frequency division curve;

[0141] The sixth calculation formula is:

[0142] (DX-S(f))÷S(f)>0.2

[0143] Where S(f) is the standard resistance at frequency f.

[0144] In an embodiment of the present invention, first, all UI characteristic curves are obtained, and different frequencies are segmented according to preset segment boundaries. For example, assume that the preset frequency segments are DC, AC fundamental frequency, and double frequency. Next, the dispersion of the UI characteristics in each frequency segment is calculated using the first calculation formula. Assuming that in the DC frequency band, the maximum resistance RMAX is 100 ohms, the minimum resistance RMIN is 80 ohms, and the average resistance RAVG is 90 ohms, then the dispersion F = (100-80) ÷ 90 ≈ 0.22. Then, it is determined whether the dispersion satisfies the second calculation formula. Assuming that the dispersion comparison threshold Y is 0.3, since 0.22<0.3, the condition is met, and the equivalent resistance DX = Z1 + Z2 is calculated using the third calculation formula. Assuming that the maximum average resistance Z1 of the key frequency of the adjacent frequency band is 110 ohms and the minimum average resistance Z2 is 70 ohms, then DX = 110 + 70 = 180 ohms. If the second calculation formula is not satisfied, two frequency division curves that satisfy the fourth calculation formula are fitted. The first is the curve corresponding to the average resistance of the adjacent frequency band below the frequency, and the second is the curve corresponding to the average resistance of the adjacent frequency band above the frequency. For example, assuming the current frequency is f, the resistance value of the first frequency division curve Rf1 = G(f-1), and the resistance value of the second frequency division curve Rf2 = G(f+1). The two frequency division curves are balanced using the fifth calculation formula to obtain an equivalent curve. Assuming Rf1 = 150 ohms and Rf2 = 200 ohms, the equivalent resistance REF = 0.5×150+0.5×200 = 175 ohms. Finally, if the sixth calculation formula is met, the design needs to be adjusted to increase the corresponding frequency band. Assuming that the standard resistance S(f) at frequency f is 160 ohms, then (DX-S(f))÷S(f) = (180-160)÷160 = 0.125 < 0.2, the condition is not met, and no design adjustment is required. In this way, the frequency bands that need optimization can be accurately identified and specific design recommendations can be generated to guide circuit design improvements.

[0145] Figure 7 The present invention is a flowchart for generating specific design suggestions based on model optimization results in an online design and analysis method for circuit characteristic impedance according to an embodiment of the present invention.

[0146] like Figure 7 As shown, in one or more embodiments, preferably, generating specific design suggestions based on the results of the model optimization specifically includes:

[0147] S701, analyzing the optimized impedance model to identify circuit characteristics that need to be improved, such as frequency response, signal integrity, or power consumption;

[0148] S702. Match specific design suggestions for the identified improvement points, including changing component parameters, adjusting circuit layout, and using new materials and technologies.

[0149] S703. Re-evaluate the proposed design suggestions and perform online verification for effectiveness.

[0150] In an embodiment of the present invention, the optimized impedance model is first analyzed to identify circuit characteristics requiring improvement. For example, suppose analysis reveals poor frequency response, insufficient signal integrity, and high power consumption in the high-frequency range of the circuit. Next, specific design recommendations are developed based on these identified improvement areas. For example, to improve frequency response, a recommendation might be made to replace capacitors or inductors with higher performance; to improve signal integrity, the circuit layout might be adjusted to reduce signal path length and interference; and to reduce power consumption, low-power components might be used or the power management strategy might be optimized. The circuit performance under the proposed design recommendations is then re-evaluated, and their effectiveness is verified online. For example, simulation software is used to verify the performance of the newly designed circuit under different operating conditions to ensure the effectiveness of the improvement measures. Finally, based on the evaluation results, the final design recommendations are determined, and a detailed design report is generated. For example, the report may include specific values ​​for component parameter adjustments, circuit layout diagrams, and application notes for new materials or technologies. This approach provides engineers with clear and actionable design guidance, helping them quickly optimize circuit designs and improve product performance and reliability.

[0151] According to a second aspect of an embodiment of the present invention, a system for online design and analysis of circuit characteristic impedance is provided.

[0152] Figure 8 The figure is a structural diagram of an online circuit characteristic impedance design and analysis system according to an embodiment of the present invention.

[0153] In one or more embodiments, preferably, the circuit characteristic impedance online design and analysis system includes:

[0154] The data acquisition module 801 is used to collect voltage and current signals in the circuit in real time using voltage and current probes;

[0155] The frequency division decomposition module 802 is used to perform fast Fourier transform on the collected signal to obtain frequency division data of different frequency components;

[0156] The model building module 803 is used to build a frequency-divided impedance model based on the collected frequency-divided data, where the model takes into account the characteristics of the circuit at different frequencies;

[0157] The curve analysis module 804 is used to draw the UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis;

[0158] The optimization generation module 805 is used to optimize the models one by one according to the UI characteristic curve to generate analysis results;

[0159] The suggestion generation module 806 is used to generate specific design suggestions based on the results of the model optimization.

[0160] In the embodiment of the present invention, a system applicable to different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0161] According to a third aspect of an embodiment of the present invention, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method according to any one of the first aspect of the embodiment of the present invention is implemented.

[0162] According to a fourth aspect of the embodiments of the present invention, an electronic device is provided. Figure 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Figure 9 The electronic device shown is an online circuit characteristic impedance design and analysis device, which includes a general computer hardware structure, including at least a processor 901 and a memory 902. The processor 901 and the memory 902 are connected via a bus 903. The memory 902 is suitable for storing instructions or programs executable by the processor 901. The processor 901 can be a standalone microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902, thereby performing the method flow of the embodiment of the present invention described above to process data and control other devices. The bus 903 connects the above-mentioned multiple components together and also connects them to a display controller 904 and a display device as well as an input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, keyboard, modem, network interface, touch input device, somatosensory input device, printer, or other devices known in the art. Typically, the input / output device 905 is connected to the system via an input / output (I / O) controller 906.

[0163] The technical solutions provided by the embodiments of the present invention may have the following beneficial effects:

[0164] The solution of the present invention uses a frequency division model to evaluate and compare different impedance characteristics online, thereby improving the accuracy of impedance analysis.

[0165] The solution of the present invention extracts the key frequency and performs online segmented analysis in combination with the preset standard frequency-division impedance characteristics, and performs different processing methods on the high and low dispersion to achieve accurate impedance characteristic equivalence and online calibration effects.

[0166] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0167] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0168] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0169] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0170] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for online design and analysis of circuit characteristic impedance, characterized in that: The method includes: Use voltage and current probes to collect voltage and current signals in the circuit in real time; Perform fast Fourier transform on the collected signal to obtain frequency division data of different frequency components; Based on the collected frequency division data, a frequency division impedance model is established, which takes into account the characteristics of the circuit at different frequencies; Based on the results of fast Fourier transform analysis, the UI characteristic curves at different frequencies are drawn; According to the UI characteristic curve, the models are optimized one by one to form analysis results; Generate specific design recommendations based on the results of model optimization; The step of optimizing the models one by one according to the UI characteristic curve to form analysis results specifically includes: Get all UI characteristic curves and segment different frequencies according to a preset segmentation boundary; Calculate the dispersion of the UI characteristics in each frequency segment using the first calculation formula; determining whether the dispersion satisfies a second calculation formula, and if so, calculating the equivalent resistance using a third calculation formula; If not, then fit two frequency division curves that meet the fourth calculation formula, the first one is the curve corresponding to the average resistance of the adjacent frequency band below the frequency, and the second one is the curve corresponding to the average resistance of the adjacent frequency band above the frequency; Equalize the two crossover curves using the fifth calculation formula to obtain an equivalent curve; If the sixth calculation formula is satisfied, the design needs to be adjusted to increase the corresponding frequency band; The first calculation formula is: F=(RMAX-RMIN)÷RAVG Where F is the dispersion, RMAX is the maximum resistance in each frequency segment, RMIN is the minimum resistance in each frequency segment, and RAVG is the average resistance in each frequency segment; The second calculation formula is: F <Y Where F is the dispersion, Y is the dispersion contrast threshold; The third calculation formula is: DX=Z1+Z2 Where DX is the equivalent resistance, Z1 is the maximum average resistance of the key frequency of the adjacent frequency band, and Z2 is the minimum average resistance of the key frequency of the adjacent frequency band; The fourth calculation formula is: Rf=G(f) Where G() is the mapping function of different frequencies, f is the frequency of different frequency bands, and Rf is the resistance value of different frequency bands; The fifth calculation formula is: DX=0.5×Rf1+0.5×Rf2 Wherein, DX is the equivalent resistance, Rf1 is the resistance value of the first frequency division curve, and Rf2 is the resistance value of the second frequency division curve; The sixth calculation formula is: (DX-S(f))÷S(f)>0.2 Where S(f) is the standard resistance at frequency f.

2. The method for online design and analysis of circuit characteristic impedance according to claim 1, wherein: The method of using voltage and current probes to collect voltage and current signals in the circuit in real time specifically includes: Clamp the current probe onto the wire in the circuit through which the current to be measured flows, ensuring that the probe can accurately measure the magnitude and direction of the current; Start the data acquisition device to record the output signals of the voltage and current probes in real time and transmit these signals to the data processing unit.

3. The method for online design and analysis of circuit characteristic impedance according to claim 1, wherein: The fast Fourier transform of the collected signal to obtain frequency division data of different frequency components specifically includes: The collected time-domain voltage and current signals are digitized and converted into digital signals suitable for FFT analysis; Apply the Fast Fourier Transform algorithm to the digitized signal to convert it from the time domain to the frequency domain to reveal information about different frequency components; Analyze the FFT results, identify and extract the collected data of the preset key frequency band as the frequency division data.

4. The method for online design and analysis of circuit characteristic impedance according to claim 1, wherein: Based on the collected frequency division data, a frequency division impedance model is established. The model takes into account the characteristics of the circuit at different frequencies, specifically including: Preprocess the collected voltage and current signals, including denoising, filtering and baseline correction; The results of the fast Fourier transform are matched to the circuit characteristics at different frequencies.

5. The method for online design and analysis of circuit characteristic impedance according to claim 1, wherein: Drawing the UI characteristic curves at different frequencies based on the results of the fast Fourier transform analysis specifically includes: Extract the voltage and current amplitude and phase information of each key frequency component from the fast Fourier transform analysis results; For each frequency component, calculate the corresponding impedance value and use these impedance values ​​to draw the UI characteristic curve; The UI characteristic curves at all frequencies are integrated together to form a complete frequency response diagram to intuitively display the characteristics of the circuit at different frequencies.

6. The method for online design and analysis of circuit characteristic impedance according to claim 1, wherein: According to the results of the model optimization, specific design suggestions are generated, including: Analyze the optimized impedance model and identify circuit characteristics that need improvement; For the identified improvement points, specific design suggestions are provided, including changing component parameters, adjusting circuit layout, new materials and new technologies; Re-evaluate the effectiveness of the proposed design suggestions and verify them online.

7. A circuit characteristic impedance online design and analysis system, characterized in that: The system is used to implement the method according to any one of claims 1 to 6, and the system comprises: A data acquisition module, used to acquire voltage and current signals in the circuit in real time using voltage and current probes; The frequency division decomposition module is used to perform fast Fourier transform on the collected signal to obtain the frequency division data of different frequency components; A model building module is used to build a frequency-divided impedance model based on the collected frequency-divided data, which takes into account the characteristics of the circuit at different frequencies; Curve analysis module, used to draw UI characteristic curves at different frequencies based on the results of fast Fourier transform analysis; The optimization generation module is used to optimize the model one by one according to the UI characteristic curve to form the analysis results; The suggestion generation module is used to generate specific design suggestions based on the results of model optimization.

8. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 6 when executed by a processor.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1 to 6.

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