A dynamic signal measurement method and system based on dynamic adaptive staircase wave

Abstract

The application provides a dynamic signal measurement method and system based on a dynamic adaptive staircase wave, the waveform characteristics of a measured dynamic signal are analyzed, a characteristic function of the measured dynamic signal is established, the measured dynamic signal is discretely processed according to the characteristic function, a continuous staircase wave signal associated with the measured signal is generated with the discrete points as the staircase centers, the signal difference between the measured dynamic signal and the staircase wave signal is performed to obtain a digital difference signal, the dynamic adaptive staircase wave is generated through digital difference signal analysis and a staircase wave signal interpolation processing process. The dynamic adaptive staircase wave is used as a medium signal to obtain a more accurate analog difference signal, provide data with smaller errors for subsequent operations, improve the quantization error generated by quantizing the continuous voltage or current, and thus realize high-accuracy measurement of the dynamic signal, the design is reasonable, the process is simple, the measurement is accurate, and the measurement accuracy is high.

Description

Technical Field

[0001] This invention belongs to the field of electrical energy metering technology, specifically a dynamic signal measurement method and system based on dynamic adaptive stepped wave. Background Technology

[0002] Accurate metering of electrical energy is essential for the safe operation of the power grid and the fair and equitable settlement of electricity trade. Within the power system, on the one hand, with the large-scale grid connection of new energy sources such as wind and solar power, their power output is affected by weather factors such as wind and sunlight, exhibiting intermittent and fluctuating characteristics. On the other hand, the large-scale operation of nonlinear loads and power electronic equipment also causes widespread and frequent random fluctuations in electricity load. The grid connection of new energy sources and the dynamic fluctuations of complex loads will bring new impacts and challenges to electricity metering.

[0003] In steady state, the metering performance of smart energy meters is usually calibrated using standard energy meters. However, in dynamic operating scenarios, there are no corresponding technical indicators for the dynamic characteristics of standard energy meters, making accurate evaluation impossible. Therefore, one of the key issues in solving the dynamic metering problem of smart energy meters lies in the accurate measurement method of dynamic energy values. However, the existing dynamic value traceability method based on standard energy meters has significant shortcomings, so it is necessary to study a high-accuracy measurement method for dynamic values.

[0004] Meanwhile, existing electrical parameter measurement methods such as quasi-synchronous sampling and non-integer period sampling are all based on AC sampling. The error sources of AC sampling are mainly twofold: one is the quantization error caused by quantizing continuous voltage or current; the other is the error caused by approximating continuous data in time with discrete data in time, which is mainly determined by the number of discrete sampling points of the signal and the periodic truncation state of the discrete sampling points. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides a dynamic signal measurement method and system based on dynamic adaptive stepped wave, which is reasonably designed, simple in process, easy to implement, and has high measurement accuracy.

[0006] This invention is achieved through the following technical solution:

[0007] A dynamic signal measurement method based on dynamic adaptive stepped wave includes,

[0008] The dynamic signal waveform under test is discretized to obtain discrete points, and a continuous stepped wave signal is generated with the discrete points as the step center.

[0009] The measured dynamic signal and the stepped wave signal are differentially divided to obtain a digital differential signal;

[0010] The digital differential signal is filtered according to the set signal attenuation rate to filter out the non-compliant digital differential signals; the stepped wave signal corresponding to the non-compliant digital differential signal is interpolated to obtain the non-equal interval stepped wave signal; the measured dynamic signal and the non-equal interval stepped wave signal are differentially processed to obtain the non-equal interval digital differential signal, which is then filtered again until the interpolation process reaches the set termination threshold, or all the non-equal interval digital differential signals pass through the filter, and the discrete state of the non-equal interval stepped wave signal is output.

[0011] The output time series is formed based on the discrete state of the output, and the dynamic adaptive stepped wave is obtained after the output time series is converted from digital to analog.

[0012] The simulated differential signal is obtained by phase matching the measured dynamic signal and the dynamic adaptive stepped wave.

[0013] The instantaneous signal is obtained by sampling the analog differential signal at equal intervals, and the characteristic parameters of the measured dynamic signal are obtained by analysis, thus completing the dynamic signal measurement based on dynamic adaptive stepped wave.

[0014] Optionally, the measured dynamic signal waveform is discretized to obtain discrete points. Specifically, the discrete points are obtained by discretizing the measured dynamic signal characteristic function based on trigonometric functions as follows:

[0015]

[0016] Where c0 is the DC component of the signal, i is the harmonic order, and c i Let be the amplitude of the i-th harmonic. Let f be the phase of the i-th harmonic, K be the harmonic order in the signal analysis, and f' be the phase of the i-th harmonic. m Let m be the amplitude of the m-th discrete point, where m = 0, 1, 2, ..., M-1, and M is the number of discrete points.

[0017] Optionally, filtering the digital differential signal according to the set signal attenuation rate specifically includes:

[0018] The height distribution of the statistical digital differential signal is analyzed to construct the upper and lower limit intervals of the differential signal. The filtering is then completed by determining whether the upper and lower limit intervals reach the set signal attenuation rate.

[0019] Optionally, the step-wave signal corresponding to the non-conforming digital differential signal is interpolated to obtain a non-equally spaced step-wave signal, and the measured dynamic signal and the non-equally spaced step-wave signal are differentially differentiated to obtain a non-equally spaced digital differential signal, which is then filtered. Specifically, this includes:

[0020] The interpolation conditions and termination thresholds are established based on the differences in point values ​​corresponding to adjacent upper and lower limits and the point derivatives corresponding to each upper and lower limit.

[0021] If the attenuation rate requirement is not met, the step wave signal corresponding to the step of the digital differential signal that does not meet the attenuation rate requirement is interpolated to generate a non-equal interval step wave signal.

[0022] The measured dynamic signal and the non-equal interval stepped wave signal are differentially divided to obtain the non-equal interval digital differential signal;

[0023] The non-equal interval digital differential signals are then filtered according to the set signal attenuation rate until the interpolation process reaches the set termination threshold, or until all the non-equal interval digital differential signals have passed the filtering, and the discrete state of the non-equal interval stepped wave signal is output.

[0024] Optionally, the output time series is converted from digital to analog to obtain a dynamic adaptive stepped wave, as shown below.

[0025]

[0026] Where z(t) represents the dynamic adaptive stepped wave output by the digital-to-analog converter module under ideal conditions, j = 0, 1, ..., M′-1, where M′ is the number of steps, and f j Let t be the output height of the j-th step. j The start time output for the j-th step, t j+1 The termination time output for the j-th step, (t) j ,t j+1 Let ) represent the time interval of the j-th step output, c0 represent the DC component of the signal, i represent the harmonic order, and c i Let be the amplitude of the i-th harmonic. Let be the phase of the i-th harmonic, K be the harmonic order of the signal analysis, and T be the signal analysis period.

[0027] Optionally, the step of synchronously differentially obtaining an analog differential signal after phase matching of the measured dynamic signal and the dynamic adaptive stepped wave specifically includes:

[0028] Phase matching is completed after the relative phase difference between the measured dynamic signal and the dynamic adaptive stepped wave meets the set stability threshold. Synchronous differential is then performed, and the difference between the measured dynamic signal and the dynamic adaptive stepped wave is taken to obtain the analog differential signal.

[0029] Optionally, the step of sampling the analog differential signal at equal intervals to obtain the instantaneous signal includes obtaining the sampled data of the analog differential signal using the following formula:

[0030] d j,l =(yz)δ(t) j +l j t s )

[0031] In the formula, j = 0, 1, ..., M′-1, representing the number of M' steps; l j =0,1,…,L j -1, where δ(t) is the number of sampling points on each step. j +l j t s ) is the impact sampling function. f is the sampling time interval. s d is the sampling frequency. j,l To simulate the sampling data of the differential signal, i.e., the l-th step on the j-th step. j There are three differential signal sampling data, where y is the measured dynamic signal and z is the analog differential signal;

[0032] The instantaneous signal is obtained by adding the sampled data to the step value of the corresponding analog differential signal, as shown in the following formula:

[0033] y j,l =z j,l +d j,l .

[0034] Optionally, the analysis yields characteristic parameters of the measured dynamic signal, including at least one of period, peak value, mean value, mean square value, amplitude, harmonics, and variance.

[0035] A dynamic signal measurement system based on dynamic adaptive stepped wave includes,

[0036] The discrete processing module is used to obtain discrete points from the measured dynamic signal waveform through discrete processing, and to generate a continuous stepped wave signal with the discrete points as the step center.

[0037] The digital signal differential module is used to perform signal differential between the measured dynamic signal and the stepped wave signal to obtain a digital differential signal;

[0038] The filtering module filters the digital differential signal according to the set signal attenuation rate, filtering out the non-compliant digital differential signals; it interpolates the stepped wave signals corresponding to the non-compliant digital differential signals to obtain non-equal interval stepped wave signals; it then performs signal differential on the measured dynamic signal and the non-equal interval stepped wave signals to obtain non-equal interval digital differential signals, which are then filtered again until the interpolation process reaches the set termination threshold, or until all non-equal interval digital differential signals pass through the filter, and finally outputs the discrete state of the non-equal interval stepped wave signals.

[0039] The dynamic adaptive stepped wave output module generates an output time series based on the discrete output state, and then performs digital-to-analog conversion on the output time series to obtain the dynamic adaptive stepped wave.

[0040] The analog signal differential module is used to obtain an analog differential signal by synchronous differential matching after phase matching between the measured dynamic signal and the dynamic adaptive stepped wave;

[0041] The measurement module is used to sample the analog differential signal at equal intervals to obtain the instantaneous signal, and analyze the characteristic parameters of the measured dynamic signal to complete the dynamic signal measurement based on dynamic adaptive stepped wave.

[0042] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned dynamic signal measurement method based on a dynamic adaptive stepped wave.

[0043] Compared with the prior art, the present invention has the following beneficial technical effects:

[0044] In this invention, the waveform characteristics of the measured dynamic signal are analyzed to establish a characteristic function. Based on this function, the measured dynamic signal is discretized, and a continuous stepped wave signal associated with the measured signal is generated, using the discrete points as the stepped center. The measured dynamic signal and the stepped wave signal are then differentially analyzed to obtain a digital differential signal. Through digital differential signal analysis and stepped wave signal interpolation, a dynamic adaptive stepped wave is generated. Using this dynamic adaptive stepped wave as the medium signal, a more accurate analog differential signal is obtained, providing data with smaller errors for subsequent operations. This improves upon the quantization errors caused by quantizing continuous voltages or currents, thereby achieving high-accuracy measurement of dynamic signals.

[0045] Furthermore, the digital differential signal is filtered according to the set signal attenuation rate to filter out non-compliant digital differential signals. The stepped wave signals corresponding to the non-compliant digital differential signals are interpolated to obtain non-equally spaced stepped wave signals. The measured dynamic signal and the non-equally spaced stepped wave signals are then differentially processed to obtain non-equally spaced digital differential signals, which are then filtered again until the interpolation process reaches the set termination threshold, or until all non-equally spaced digital differential signals pass through the filter. The discrete state of the non-equally spaced stepped wave signals is then output. Through the filtering operation, adaptive selection and output of compliant stepped wave signals are achieved, providing relevant data for subsequent operations.

[0046] Furthermore, an output time series is formed based on the discrete state of the output. After the output time series is converted from digital to analog, a dynamic adaptive stepped wave is obtained. The conversion from digital to analog reduces data loss and improves the reliability of the measurement results.

[0047] Furthermore, after phase matching between the measured dynamic signal and the dynamic adaptive stepped wave, a synchronous differential signal is obtained by synchronous differential operation, thereby enhancing the stability of the results.

[0048] Furthermore, the instantaneous signal is obtained by sampling the analog differential signal at equal intervals, and the characteristic parameters of the measured dynamic signal are analyzed to complete the dynamic signal measurement based on dynamic adaptive stepped wave. Through the recovery calculation operation, the measured dynamic signal data with high accuracy is finally obtained, realizing the reliable measurement of dynamic signal. Attached Figure Description

[0049] Figure 1 This is a flowchart of the dynamic signal measurement method described in the example of the present invention.

[0050] Figure 2 This is a flowchart of the dynamic adaptive stepped wave generation described in the example of the present invention.

[0051] Figure 3 This is a structural block diagram of the dynamic signal measurement system described in the example of the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other.

[0054] This invention can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, elements, data structures, etc., that perform a specific task or implement a specific abstract data type. This invention can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0055] In this invention, terms such as "module," "device," and "system" refer to relevant entities applied to a computer, such as hardware, combinations of hardware and software, software, or software in execution. More specifically, for example, an element can be, but is not limited to, a process running on a processor, a processor, an object, an executable element, an execution thread, a program, and / or a computer. Furthermore, an application program or script running on a server, and the server itself, can also be an element. One or more elements may be in an execution process and / or thread, and elements may be localized on a single computer and / or distributed across two or more computers, and may be run on various computer-readable media. Elements can also communicate via local and / or remote processes based on signals having one or more data packets, for example, signals from data interacting with another element in a local system, a distributed system, and / or interacting with other systems via signals over a network of the Internet.

[0056] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising" or "including" include not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0057] This invention provides a dynamic signal measurement method based on dynamic adaptive stepped wave, such as... Figure 1 As shown, it includes,

[0058] The dynamic signal waveform under test is discretized to obtain discrete points, and a continuous stepped wave signal is generated with the discrete points as the step center.

[0059] The signal difference between the measured dynamic signal and the stepped wave signal is performed to obtain a digital differential signal;

[0060] The digital differential signal is filtered according to the set signal attenuation rate to filter out the non-compliant digital differential signals; the stepped wave signal corresponding to the non-compliant digital differential signal is interpolated to obtain the non-equal interval stepped wave signal; the measured dynamic signal and the non-equal interval stepped wave signal are differentially processed to obtain the non-equal interval digital differential signal, which is then filtered again until the interpolation process reaches the set termination threshold, or all the non-equal interval digital differential signals pass through the filter, and the discrete state of the non-equal interval stepped wave signal is output.

[0061] The output time series is formed based on the discrete state of the output, and the dynamic adaptive stepped wave is obtained after the output time series is converted from digital to analog.

[0062] The simulated differential signal is obtained by phase matching the measured dynamic signal and the dynamic adaptive stepped wave.

[0063] The instantaneous signal is obtained by sampling the analog differential signal at equal intervals, and the characteristic parameters of the measured dynamic signal are obtained by analysis, thus completing the dynamic signal measurement based on dynamic adaptive stepped wave.

[0064] The output discrete state is either the discrete state of the non-equal interval stepped wave signal corresponding to the differential signal that meets the signal attenuation rate after multiple filtering, or the discrete state of the non-equal interval stepped wave signal when the set termination threshold is reached.

[0065] In a specific embodiment of the present invention, the dynamic signal measurement method and system based on dynamic adaptive stepped wave includes five steps: discretization of the measured dynamic signal, adaptive generation of stepped wave, signal differential between the measured dynamic signal and the dynamic adaptive stepped wave, instantaneous signal sampling, and calculation of the recovery of the measured dynamic signal.

[0066] In a specific embodiment of the present invention, the waveform of the dynamic signal under test is discretized to obtain discrete points. The discretization process of the dynamic signal under test is as follows:

[0067] (1) For the continuous-time function y(t) of the measured dynamic signal, a characteristic function of the measured dynamic signal based on trigonometric functions is established, and discrete points are obtained by discretization through it. This function model serves as the basis for generating the step wave:

[0068]

[0069] In the formula, f(t) is the Fourier function of the measured dynamic signal, K is the harmonic order of the signal analysis, T is the signal analysis period (fixed to 20ms (50Hz) for actual power system requirements), c0 is the DC component of the signal, i is the harmonic order, and c i Let be the amplitude of the i-th harmonic. Let t be the phase of the i-th harmonic, and t be time.

[0070] (2) Discretize the continuous dynamic test signal. The number of discrete steps is M, and the time interval between steps is T / M. In order to further attenuate the differential signal, the signal step value is calculated continuously at equal intervals starting from half the step width to obtain M equally spaced discrete signal values:

[0071]

[0072] In the formula, the Fourier function f of the measured dynamic signal is established through Fourier analysis.m c0 is the DC component of the signal, i is the harmonic order, and c i Let be the amplitude of the i-th harmonic. Let f be the phase of the i-th harmonic, K be the harmonic order in the signal analysis, and f' be the phase of the i-th harmonic. m Let m be the amplitude of the m-th discrete point, where m = 0, 1, 2, ..., M-1, and M is the number of discrete points.

[0073] Then, through signal differential, the digital differential signal between the measured dynamic signal and the stepped wave signal is obtained. The height distribution of the digital differential signal is statistically calculated, the height distribution is analyzed, and the upper and lower limit intervals of the digital differential signal are constructed. It is then determined whether the upper and lower limit intervals meet the set signal attenuation rate requirements to achieve filtering.

[0074] Specifically, the process includes filtering out non-compliant digital differential signals; interpolating the stepped wave signals corresponding to the non-compliant digital differential signals to obtain non-equally spaced stepped wave signals; performing signal differential processing on the measured dynamic signal and the non-equally spaced stepped wave signals to obtain non-equally spaced digital differential signals, which are then filtered again.

[0075] The interpolation conditions and termination thresholds are established based on the differences in point values ​​corresponding to adjacent upper and lower limits and the point derivatives corresponding to each upper and lower limit.

[0076] If the attenuation rate requirement is not met, the step wave signal corresponding to the step where the digital differential signal that does not meet the attenuation rate requirement is located is interpolated to realize step reconstruction and step movement, and generate non-equal interval step wave signal. When performing interpolation, the interpolation conditions are set by the operation of the previous step based on the numerical difference between adjacent points and the derivative of each point.

[0077] The measured dynamic signal and the non-equal interval stepped wave signal are differentially divided to obtain the non-equal interval digital differential signal;

[0078] The non-equally spaced digital differential signals are then filtered according to a set signal attenuation rate until the interpolation process reaches a set termination threshold, or until all non-equally spaced digital differential signals have passed the filtering, resulting in the output of discrete states of non-equally spaced stepped wave signals. The non-equally spaced stepped wave signals include those corresponding to non-equally spaced digital differential signals that meet the signal attenuation rate after multiple filtering steps, or the non-equally spaced stepped wave signals that reach the set termination threshold.

[0079] In specific embodiments of the present invention, such as Figure 2 As shown, the adaptive generation process of the stepped wave:

[0080] The continuous dynamic test waveform is discretized at equal intervals.

[0081] By extending the discrete point by half a step width in both directions, a continuous, equally spaced stepped wave is generated.

[0082] By using signal differential analysis, a digital differential signal is obtained between the measured signal and the stepped wave signal. Simultaneously, distribution analysis is performed to calculate the height distribution of the differential signal and construct the upper and lower limit intervals of the differential signal.

[0083] Set a signal attenuation rate η and determine whether the upper and lower limits of the differential signal meet the signal attenuation rate requirements. Based on the numerical differences between adjacent points and the derivatives (first-order or higher-order) at each point, establish interpolation conditions and a termination threshold. Continuously perform interpolation reconstruction and step-shifting processing on the stepped wave signal until the termination threshold condition f is reached. (n) (j)≥g (n) (j) meets the signal attenuation rate requirement, forming the corresponding output time series f of the non-equal interval stepped wave signal. (n) (j).

[0084] f (n) (j)=[f j ,(H j H j+1 )]j=0,1,…,M′-1

[0085] Where n represents the order, f (n) (j) represents the discrete state of the output, g (n) (j) is the termination threshold condition. Let c be the output height of the j-th step, c0 be the DC component of the signal, i be the harmonic order, and c be the output height of the j-th step. i Let be the amplitude of the i-th harmonic. Let H be the phase of the i-th harmonic, K be the harmonic order in the signal analysis, M' be the number of output steps, and H be the phase of the i-th harmonic. j H is the starting phase of the output at the j-th step. j+1 For the termination phase of the output at the j-th step, (H) j H j+1 ) represents the phase interval of the output of the j-th step.

[0086] Dynamically adaptive stepped wave output. Discrete dynamic test signal f j After being controlled by a high-accuracy digital-to-analog converter module, a dynamically adaptive stepped wave is output. Within the interval [t]... j ,t j+1 In the [j-th interval], the output value of the digital-to-analog conversion module is f. j In the (j+1)th interval, the output value of the digital-to-analog converter module is f. j+1 If the output remains constant during each interval, the output waveform of the ideal digital-to-analog converter module will be:

[0087]

[0088] Where z(t) represents the dynamic adaptive stepped wave output by the digital-to-analog converter module under ideal conditions. Let j be the output height of the j-th step. The start time output for the j-th step. The termination time output for the j-th step, (t) j ,t j+1 ) represents the time interval of the output at the j-th step. c0 is the DC component of the signal, i is the harmonic order, and c i Let be the amplitude of the i-th harmonic. Let be the phase of the i-th harmonic, K be the harmonic order of the signal analysis, and T be the signal analysis period;

[0089] The dynamic adaptive stepped wave output process involves the output time series being controlled by a high-accuracy digital-to-analog converter module to output a corresponding dynamic adaptive stepped wave within the interval [t]. j ,t j+1 In the [j-th interval], the output value of the digital-to-analog conversion module is f. j In the (j+1)th interval, the output value of the digital-to-analog converter module is f. j+1 If the dynamic test signal is discretized into M' intervals, then M' is the number of periodic steps in the output dynamic adaptive stepped wave, and the signal value f at each discrete point is... j Then, Δt represents the height of each step of the dynamically adaptive stepped wave output by the digital-to-analog converter module, and the duration Δt of each step. j =t j+1 -t j , then the width of each step;

[0090] The dynamic test signal is discretized into M' intervals, where M' is the number of periodic steps of the output dynamic adaptive stepped wave, and the signal value at each discrete point is the height of each step of the dynamic adaptive stepped wave output by the digital-to-analog converter module, and the duration of each step is the width of each step.

[0091] Specifically, the present invention describes obtaining a simulated differential signal by synchronous differential after phase matching of the measured dynamic signal and the dynamic adaptive stepped wave. This includes performing synchronous differential after phase matching of the measured dynamic signal and the dynamic adaptive stepped wave, i.e., the relative phase difference between the measured dynamic signal and the dynamic adaptive stepped wave meets a set threshold, performing synchronous differential, and taking the difference between the measured dynamic signal and the dynamic adaptive stepped wave to obtain a simulated differential signal.

[0092] In a specific embodiment of the present invention, under the premise of ensuring phase matching between the measured dynamic signal and the dynamic adaptive stepped wave, the synchronous differential between the dynamic adaptive stepped wave and the measured dynamic signal is realized, and the difference between the measured dynamic signal and the dynamic adaptive stepped wave is taken.

[0093] The present invention describes obtaining an instantaneous signal by sampling an analog differential signal at equal intervals, comprising obtaining the sampled data of the analog differential signal using the following formula:

[0094] d j,l =(yz)δ(t) j +l j t s )

[0095] In the formula, j = 0, 1, ..., M′-1, representing the number of M' steps; l j =0,1,…,L j -1, where δ(t) is the number of sampling points on each step. j +l j t s ) is the impact sampling function. f is the sampling time interval. s d is the sampling frequency. j,l To simulate the sampling data of the differential signal, i.e., the l-th step on the j-th step. j There are three differential signal sampling data, where y is the measured dynamic signal and z is the analog differential signal;

[0096] The instantaneous signal is obtained by adding the sampled data to the step value of the corresponding analog differential signal, as shown in the following formula:

[0097] y j,l =z j,l +d j,l .

[0098] In a specific embodiment of the present invention, the instantaneous signal sampling process is as follows: the analog differential signal is sampled at equal intervals, with L samples taken at each step. j If there are 10 data points, then the fundamental period is sampled at equal intervals to obtain 10 data points. The formula is as follows: (Number of data points)

[0099] d j,l =y j,l -z j,l

[0100] In the formula, y j,l =yδ(t) j +l j t s ), where is the lth step of the measured dynamic signal. j Instantaneous data at each sampling point, z j,l =zδ(t) j +l j t s ), where is the step value at the corresponding position of the dynamically adaptive stepped wave, i.e., the l-th step on the j-th step. j The step value corresponding to each differential signal;

[0101] The instantaneous signal is obtained by adding the sampled data to the step value of the corresponding analog differential signal.

[0102] In this invention, the process of recovering the measured dynamic signal is as follows: Using time-frequency domain signal analysis methods, the relevant characteristic parameters of the recovered measured dynamic signal are calculated and recorded to complete the measurement of the dynamic signal. Specifically, the characteristic parameters of the measured dynamic signal are analyzed and obtained, including at least one of period, peak value, mean value, mean square value, amplitude, harmonics, and variance.

[0103] Compared with traditional electrical measurement methods, using a dynamic adaptive stepped wave as the medium signal reduces the quantization error caused by quantizing continuous dynamic signals, thereby optimizing existing electrical measurement methods, achieving reliable measurement of dynamic signals, and further improving the accuracy of dynamic measurement.

[0104] Corresponding to the above-described dynamic signal measurement method, this invention also provides a dynamic signal measurement system based on a dynamic adaptive stepped wave, such as... Figure 3 As shown, it includes,

[0105] The discrete processing module is used to obtain discrete points from the measured dynamic signal through discrete processing, and to generate a continuous stepped wave signal with the discrete points as the step center.

[0106] The digital signal differential module is used to perform signal differential between the measured dynamic signal and the stepped wave signal to obtain a digital differential signal;

[0107] The filtering module filters the digital differential signal according to the set signal attenuation rate, filtering out the non-compliant digital differential signals; it interpolates the stepped wave signals corresponding to the non-compliant digital differential signals to obtain non-equal interval stepped wave signals; it then performs signal differential on the measured dynamic signal and the non-equal interval stepped wave signals to obtain non-equal interval digital differential signals, which are then filtered again until the interpolation process reaches the set termination threshold, or until all non-equal interval digital differential signals pass through the filter, and finally outputs the discrete state of the non-equal interval stepped wave signals.

[0108] The dynamic adaptive stepped wave output module generates an output time series based on the discrete output state, and then performs digital-to-analog conversion on the output time series to obtain the dynamic adaptive stepped wave.

[0109] The analog signal differential module is used to obtain an analog differential signal by synchronous differential matching after phase matching between the measured dynamic signal and the dynamic adaptive stepped wave;

[0110] The measurement module is used to sample the analog differential signal at equal intervals to obtain the instantaneous signal, and analyze the characteristic parameters of the measured dynamic signal to complete the dynamic signal measurement based on dynamic adaptive stepped wave.

[0111] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements a dynamic signal measurement method based on a dynamic adaptive stepped wave.

[0112] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0113] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0114] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0115] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A dynamic signal measurement method based on dynamic adaptive stepped wave, characterized in that, include, The dynamic signal waveform under test is discretized to obtain discrete points, and a continuous stepped wave signal is generated with the discrete points as the step center. The measured dynamic signal and the stepped wave signal are differentially divided to obtain a digital differential signal; The digital differential signal is filtered according to the set signal attenuation rate to filter out the non-compliant digital differential signals; the stepped wave signal corresponding to the non-compliant digital differential signal is interpolated to obtain the non-equal interval stepped wave signal; the measured dynamic signal and the non-equal interval stepped wave signal are differentially processed to obtain the non-equal interval digital differential signal, which is then filtered again until the interpolation process reaches the set termination threshold, or all the non-equal interval digital differential signals pass through the filter, and the discrete state of the non-equal interval stepped wave signal is output. The output time series is formed based on the discrete state of the output. After the output time series is converted from digital to analog, the following dynamic adaptive stepped wave is obtained. in, z ( t This represents the dynamic adaptive stepped waveform output by the digital-to-analog converter module under ideal conditions. ， for M’ Number of steps, For the first j The output height of each step For the first j The start time of each step output. For the first j The termination time of each step output. For the first j The time interval for each step output The DC component of the signal. i For harmonic order, For the first i The amplitude of the second harmonic. For the first i Phase of the subharmonic, K For the harmonic order of the signal analysis, T For signal analysis period; The simulated differential signal is obtained by phase matching the measured dynamic signal and the dynamic adaptive stepped wave. The instantaneous signal is obtained by sampling the analog differential signal at equal intervals, and the characteristic parameters of the measured dynamic signal are obtained by analysis, thus completing the dynamic signal measurement based on dynamic adaptive stepped wave.

2. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 1, characterized in that, The measured dynamic signal waveform is discretized to obtain discrete points. Specifically, the discrete points are obtained by discretizing the measured dynamic signal characteristic function based on trigonometric functions: in, The DC component of the signal. i For harmonic order, For the first i The amplitude of the second harmonic. For the first i Phase of the subharmonic, K For the harmonic order of the signal analysis, For the first m The amplitude at each discrete point ，M The number of discrete points.

3. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 1, characterized in that, The filtering of the digital differential signal according to the set signal attenuation rate specifically includes, The height distribution of the statistical digital differential signal is analyzed to construct the upper and lower limit intervals of the differential signal. The filtering is then completed by determining whether the upper and lower limit intervals reach the set signal attenuation rate.

4. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 3, characterized in that, The process involves interpolating the stepped wave signals corresponding to the non-compliant digital differential signals to obtain non-equally spaced stepped wave signals, then performing signal differential processing on the measured dynamic signal and the non-equally spaced stepped wave signals to obtain non-equally spaced digital differential signals, which are then filtered. Specifically, this includes... The interpolation conditions and termination thresholds are established based on the differences in point values ​​corresponding to adjacent upper and lower limits and the point derivatives corresponding to each upper and lower limit. If the attenuation rate requirement is not met, the step wave signal corresponding to the step of the digital differential signal that does not meet the attenuation rate requirement is interpolated to generate a non-equal interval step wave signal. The measured dynamic signal and the non-equal interval stepped wave signal are differentially divided to obtain the non-equal interval digital differential signal; The non-equal interval digital differential signals are then filtered according to the set signal attenuation rate until the interpolation process reaches the set termination threshold, or until all the non-equal interval digital differential signals have passed the filtering, and the discrete state of the non-equal interval stepped wave signal is output.

5. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 1, characterized in that, The process of obtaining an analog differential signal by synchronous differential analysis after phase matching of the measured dynamic signal and the dynamic adaptive stepped wave specifically includes: Phase matching is completed after the relative phase difference between the measured dynamic signal and the dynamic adaptive stepped wave meets the set stability threshold. Synchronous differential is then performed, and the difference between the measured dynamic signal and the dynamic adaptive stepped wave is taken to obtain the analog differential signal.

6. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 5, characterized in that, The process of obtaining an instantaneous signal by sampling the analog differential signal at equal intervals includes: The sampled data of the analog differential signal can be obtained using the following formula: In the formula, ,for M’ Number of steps; The number of sampling points on each step For the impulse sampling function, , is the sampling time interval. Sampling frequency, For the sampled data of the analog differential signal, i.e. the first j The first step l j One differential signal sampling data, y It is the dynamic signal being measured. z It is an analog differential signal; The instantaneous signal is obtained by adding the sampled data to the step value of the corresponding analog differential signal, as shown in the following formula: 。 7. The dynamic signal measurement method based on dynamic adaptive stepped wave according to claim 6, characterized in that, The analysis yields characteristic parameters of the measured dynamic signal, including at least one of period, peak value, mean value, mean square value, amplitude, harmonics, and variance.

8. A dynamic signal measurement system based on a dynamic adaptive stepped wave, characterized in that, include, The discrete processing module is used to obtain discrete points from the measured dynamic signal waveform through discrete processing, and generate a continuous stepped wave signal with the discrete points as the step center. The digital signal differential module is used to perform signal differential between the measured dynamic signal and the stepped wave signal to obtain a digital differential signal; The filtering module filters the digital differential signal according to the set signal attenuation rate, filtering out the non-compliant digital differential signals; it interpolates the stepped wave signals corresponding to the non-compliant digital differential signals to obtain non-equal interval stepped wave signals; it then performs signal differential on the measured dynamic signal and the non-equal interval stepped wave signals to obtain non-equal interval digital differential signals, which are then filtered again until the interpolation process reaches the set termination threshold, or until all non-equal interval digital differential signals pass through the filter, and finally outputs the discrete state of the non-equal interval stepped wave signals. The dynamic adaptive stepped wave output module forms an output time series based on the discrete state of the output, and after performing digital-to-analog conversion on the output time series, the following dynamic adaptive stepped wave is obtained. in, z ( t This represents the dynamic adaptive stepped waveform output by the digital-to-analog converter module under ideal conditions. ， for M’ Number of steps, For the first j The output height of each step For the first j The start time of each step output. For the first j The termination time of each step output. For the first j The time interval for each step output The DC component of the signal. i For harmonic order, For the first i The amplitude of the second harmonic. For the first i Phase of the subharmonic, K For the harmonic order of the signal analysis, T For signal analysis period; The analog signal differential module is used to obtain an analog differential signal by synchronous differential matching after phase matching between the measured dynamic signal and the dynamic adaptive stepped wave; The measurement module is used to sample the analog differential signal at equal intervals to obtain the instantaneous signal, and analyze the characteristic parameters of the measured dynamic signal to complete the dynamic signal measurement based on dynamic adaptive stepped wave.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements a dynamic signal measurement method based on a dynamic adaptive stepped wave as described in any one of claims 1 to 7.

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