CN109754487B - Train product consistency checking method, system, equipment and readable storage medium - Google Patents
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Abstract
The application discloses a method, a system, equipment and a computer readable storage medium for checking the consistency of train products, wherein the method comprises the following steps: acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation; extracting a waveform index corresponding to the output signal to obtain an actual waveform index; performing difference analysis on the actual waveform index and the corresponding theoretical waveform index to obtain a difference analysis result; and correcting the consistency inspection parameters corresponding to the output signals by using the difference analysis results, so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters. The train product consistency inspection method provided by the application takes the actual operation data of the train product as a basis, corrects the corresponding consistency inspection parameters by using the theoretical and actual output waveform difference analysis results, and improves the accuracy of train product consistency inspection.
Description
Technical Field
The invention relates to the field of train product inspection, in particular to a train product consistency inspection method, a train product consistency inspection system, train product consistency inspection equipment and a computer readable storage medium.
Background
With the development of society, the position of manufacturing industry in social life is becoming more and more important, and simultaneously, the quality requirement to train products is also higher and higher. For example, with the continuous development of rail transit trains, higher requirements are put forward on the safe and stable operation of the trains, and therefore, the quality of train products needs to be controlled in all directions from each link in life cycles such as design, materials, production process and the like. However, in the actual production process, even if the train product meets the screening rules and all the parameters are in the standard range, the complexity of the train operation condition and the deterioration of the external environment cannot be quantitatively estimated, so that the material screening standard can be established only according to the general national standard or the industrial standard, the service life of the train product is greatly shortened, and the normal use of other components is even influenced.
In general manufacturing industry, inspection and testing of the appearance, size, electrical properties, etc. of materials are generally used for inspection before warehousing of the materials. However, due to the limitation of production time and conditions, part of samples are generally screened according to the sampling mode in the national standard GB2828.1-2003 to check the qualification and consistency of the samples. Although the sampling sample can replace part of the characteristics of the overall sample to a certain extent, the testing process only tests and tests whether a single train product is qualified under laboratory conditions, the overall characteristics of the sample are generally not analyzed and described, and the actual operating environment of the train product cannot be simulated. Therefore, when the inspection conditions of the train products are too loose and the running environment of the train products is severe, the phenomenon that the train products are qualified in delivery test and storage inspection but are easy to lose efficacy occurs, and the quality problem of the train products in batches occurs.
Therefore, how to provide a train product consistency check system to improve the accuracy and efficiency of the train product consistency check standard is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a device and a computer readable storage medium for checking the consistency of train products, which can improve the accuracy and efficiency of the checking standard of the consistency of train products. The specific scheme is as follows:
a train product consistency checking method comprises the following steps:
acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation;
extracting a waveform index corresponding to the output signal to obtain an actual waveform index;
performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result;
and correcting the consistency inspection parameters corresponding to the output signals by using the difference analysis results, so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters.
Preferably, before the step of extracting the waveform index corresponding to the output signal to obtain the actual waveform index, the method further includes:
converting the data format of the output signal into a text file format;
and eliminating the signals with null values and the signals with all data being zero values in the output signals after format conversion to obtain the corrected output signals.
Preferably, the step of extracting the waveform index corresponding to the output signal includes:
determining the waveform period of the output signal according to the sampling frequency;
and calculating the waveform index of the output signal in each waveform period to obtain the actual waveform index.
Preferably, the step of performing a difference analysis on the actual waveform indicator and the theoretical waveform indicator of the output signal includes:
calculating a difference value between the actual waveform index and a theoretical waveform index of the output signal to obtain a corresponding waveform index difference;
grouping the output signals by taking the cycle size as a grouping basis to obtain a corresponding signal set; wherein, the periods of the signals in each group of signal sets are all equal;
and calculating the average value of the waveform index differences in each group of signal sets.
Preferably, the step of correcting the consistency check parameter corresponding to the output signal using the difference analysis result includes:
respectively counting the ratio of the average value of the waveform index differences in each group of signal sets to be larger than a first preset threshold;
judging whether the ratio of each group of signal sets is larger than a preset ratio threshold value or not;
and if so, correcting the theoretical waveform index and the theoretical waveform allowable error corresponding to the group of signal sets.
Preferably, the step of correcting the consistency check parameter corresponding to the output signal using the difference analysis result includes:
determining the average value of the current waveform index difference by using the average value of the waveform index differences in the signal set;
judging whether the average value of the index difference of the current waveform is larger than the corresponding theoretical waveform allowable error and smaller than a first preset threshold, if so, keeping the theoretical waveform allowable error unchanged;
judging whether the average value of the difference of the current waveform indexes is larger than zero and smaller than a second preset threshold value, if so, correcting the corresponding allowable error of the theoretical waveform into the average value of the difference of the current waveform indexes;
wherein the second preset threshold is smaller than the first preset threshold.
Preferably, the waveform index corresponding to the output signal includes a waveform amplitude and/or a waveform amplitude fluctuation and/or a waveform transformation rate and/or a waveform overshoot and/or a waveform edge distortion.
Correspondingly, the invention also provides a train product consistency checking system, which comprises:
the operation data output module is used for acquiring operation data output by the train product in the normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation;
the waveform index extraction module is used for extracting a waveform index corresponding to the output signal to obtain an actual waveform index;
the waveform index analysis module is used for performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result;
and the consistency inspection parameter correction module is used for correcting the consistency inspection parameters corresponding to the output signals by using the difference analysis results so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters.
Correspondingly, the invention also provides a train product consistency checking device, which comprises:
and the processor is used for realizing the steps of the train product consistency checking method when executing the computer program stored in the memory.
Accordingly, the present invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the train product conformance checking method as described above.
The invention discloses a train product consistency inspection method, which obtains an output signal by obtaining operation data output by a train product in a normal operation process; wherein the output signal is a periodic waveform with positive and negative alternation; then, extracting a waveform index corresponding to the output signal to obtain an actual waveform index; performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result; and finally, correcting the consistency inspection parameters corresponding to the output signals by using the difference analysis results, so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters. According to the train product consistency inspection method, the output data of the actual operation of the train product is taken as a basis, the difference between the actual waveform index and the theoretical waveform index of the output signal is compared and analyzed, and the consistency inspection parameters corresponding to the output signal are corrected by using the difference analysis result, so that a stricter train product consistency inspection standard is formulated.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method for checking the consistency of train products according to the present invention;
FIG. 2 is a flow chart of a specific train product consistency checking method disclosed by the present invention;
FIG. 3 is a flowchart of a specific train product consistency checking method disclosed in the present invention;
FIG. 4 is a schematic structural diagram of a train product consistency checking system according to the present disclosure;
fig. 5 is a schematic view of the operating principle of the train product consistency checking device disclosed by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a method for checking the consistency of train products, which is shown in figure 1 and comprises the following steps:
step S11: acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation.
In the embodiment of the present application, the number of the train products may be one or more, and the types of the train products may also be one or more, so that the output signal may be one signal or a plurality of signals. The signals are periodic signals in which positive and negative alternate.
Step S12: and extracting the waveform index corresponding to the output signal to obtain an actual waveform index.
It should be noted that the actual waveform index may be one waveform index or a plurality of waveform indexes, and the embodiment of the present application does not limit the type and number of the actual waveform indexes.
Considering that the original format of some operation data in the normal operation process of the train can only be used to check the waveform data by the software provided by the manufacturer, which causes inconvenience in extracting the waveform index corresponding to the output signal, before step S12, the method may further include:
and converting the data format of the output signal into a text file format, for example, parsing a format file such as dat, eve, sev, wdf and the like of the vehicle-mounted operation data into a text file such as csv, txt and the like. For another example, the original format of some data of the train is wdf format, and only waveform data can be checked by software provided by a manufacturer, but the process of exporting the data to csv format by the software is complicated, so in order to improve the efficiency of transferring the data to csv, the data in wdf format can be firstly analyzed and stored to csv format by Python programming for subsequent data analysis. In addition, signals with null values and signals with all data being zero values in the output signals after format conversion can be removed to obtain corrected output signals, so that the aim of more accurate results of subsequent consistency check is fulfilled.
Step S13: and performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result.
Step S14: and correcting the consistency inspection parameters corresponding to the output signals by using the difference analysis results, so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters.
It should be noted that, in the embodiment of the present application, the consistency check parameter is a consistency check parameter of a theoretical waveform, and it is understood that there are some differences inevitably between an actual waveform and the theoretical waveform, so that if the consistency check parameter of the theoretical waveform is used to perform consistency check on the actual waveform, a greater or lesser error is inevitably generated, resulting in an inaccurate final consistency check result. Therefore, the correction of the consistency check parameter corresponding to the output signal by using the difference analysis result includes the correction of a theoretical waveform consistency check parameter, wherein the number of the consistency check parameters may be one or more.
According to the train product consistency inspection method disclosed by the embodiment of the application, the output data of the actual operation of the train product is taken as the basis, the difference between a theoretical waveform and the actual output waveform is compared and analyzed, and the consistency inspection parameters corresponding to the output signals are corrected by using the difference analysis result, so that a more accurate train product consistency inspection standard is formulated, and the defect that the inspection result is inaccurate due to inaccurate inspection standard in the process of carrying out the consistency inspection on the train product by using the national standard in the prior art is overcome, so that the accuracy and the efficiency of the train product consistency inspection standard can be improved.
The embodiment of the invention discloses a specific train product consistency checking method, and compared with the previous embodiment, the embodiment further optimizes and explains the technical scheme. Referring to fig. 2, the method specifically includes the following steps:
step S21: acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation.
Step S22: and determining the waveform period of the output signal according to the sampling frequency, and calculating the waveform index of the output signal in each waveform period to obtain the actual waveform index.
That is, in this embodiment, the waveform index corresponding to the output signal is extracted to calculate the waveform index in each waveform period of the output signal. Specifically, the waveform period of the output signal may be determined by determining the waveform period by calculating a zero crossing point of the waveform, that is, determining the waveform period according to the output signal and the sampling frequency, and determining the waveform period of the output signal by using a zero crossing point calculation method, which may specifically include the following steps:
a1: calculating the output signal { XiThe positions of all zeros in 1, 2.. times.n are denoted as { Index }0}。
A2: calculating the output signal { XiDifference { Δ X of i ═ 1, 2.., N }i＝Xi+1-Xi,i＝1,2,...,N-1}。
A3: determining a differential sequence [ Delta Index ]iI is positive or negative of 1, 2.., s }, wherein, if Δ XiIf it is less than zero, let { Index }0I, denoted as { Index }.
A4: for { Index }0Sorting { Index } and { Index } in ascending order, and differencing { Δ Index }i,i＝1,2,...,s}。
A5: calculating the period { T ] of each of the output signalsi＝ΔIndexi/Fs,i＝1,2,...,s}。
Wherein the actual waveform X of the output signal is time-series data { X1,X2,...,Xi,...,XNA total of N samples, FsRepresenting the sampling frequency, T representing the waveform period T1,T2,...,Ti,...,Ts}。
In this embodiment, the method for determining the waveform period of the output signal may be other than the zero-crossing point calculation method described above, for example, the waveform period of the output signal may be determined by a spectral analysis method such as fourier transform and wavelet transform, so as to complete the processing of the signal period.
Step S23: calculating a difference value between the actual waveform index and a theoretical waveform index of the output signal to obtain a corresponding waveform index difference; grouping the output signals by taking the cycle size as a grouping basis to obtain a corresponding signal set; wherein, the periods of the signals in each group of signal sets are all equal; and calculating the average value of the waveform index differences in each group of signal sets.
That is, the difference analysis result in this embodiment is an average value of the waveform index differences in each set of signals. The period of each signal in the same signal set is the same, and then the average value of the waveform index difference between the actual waveform index and the theoretical waveform index of each signal in each signal set is calculated respectively.
It can be understood that, in this embodiment, the actual waveform index and the theoretical waveform index may be calculated according to an index definition in a predetermined standard to obtain a corresponding waveform index. It should be noted that, in the above embodiment, the waveform index corresponding to the output signal may be any one of a waveform amplitude, a waveform amplitude fluctuation, a waveform transformation rate, a waveform overshoot, and a waveform edge distortion, or a combination of any one of the foregoing waveform indexes.
The above index definition may include:
DA＝(dA/dt)i＝Xi+1-Xi；
Δt0＝t0，i+1-t0，i；
wherein the content of the first and second substances,
which represents the peak of the wave in the period,
denotes the trough, Δ AiRepresenting amplitude fluctuations, DA representing the rate of change of the waveform, Δ OiIndicates overshoot, Δ t0Representing edge distortion, t0，iRepresenting the time of the ith zero crossing.
Calculating a difference between the actual waveform indicator and a theoretical waveform indicator of the output signal to obtain a corresponding waveform indicator difference:
ΔWpsn＝Wpeaks-normal-Wpeaks-standard；
in the formula,. DELTA.WpsnRepresenting the difference between the actual and theoretical waveform amplitudes of each period of the output signal, Wpeaks-normal represents the actual waveform amplitude, W, of the output signal per cyclepeaks-standard represents the theoretical waveform amplitude of the output signal per cycle.
It should be noted that the waveform amplitude difference is only an example, and the calculation process of other waveform index differences may refer to the difference between the actual waveform amplitude and the theoretical waveform amplitude of each period of the output signal, which is not described herein again.
Grouping the output signals by taking the cycle size as a grouping basis to obtain a corresponding signal set; the signal periods in each group of signal sets are equal, and the signal periods in different groups of signal sets are different.
Based on the above, an average value of the waveform index differences in each group of signal sets is calculated, that is, an average value of the differences between the actual waveform index and the theoretical waveform index of the output signal in different periods is calculated. For example, an average value of the waveform amplitude difference between the actual waveform and the theoretical waveform of the output signal in different periods is calculated, and the calculation process is as follows:
in the formula, Mean Δ Wpsn，T1An average value, Δ W, representing the difference in waveform amplitude between the actual waveform and the theoretical waveform of the signal set having the period T1psn，T1Represents the difference in waveform amplitude between the actual waveform and the theoretical waveform over i periods of ground, and n represents the number of periods T1 in the output signal.
It should be noted that, the average value of the other waveform index differences in the signal set may be calculated with reference to the average value of the waveform amplitude difference, so as to obtain the average value of the corresponding waveform index differences.
Step S24: respectively counting the ratio of the average value of the waveform index differences in each group of signal sets to be larger than a first preset threshold; judging whether the ratio of each group of signal sets is larger than a preset ratio threshold value or not; and if so, correcting the theoretical waveform index and the theoretical waveform allowable error corresponding to the group of signal sets.
When any average value is greater than the first preset threshold, the average value is considered to be a value far greater than zero. Specifically, the threshold of the average value of the corresponding waveform index difference may be set according to an actual situation, that is, the first preset threshold is set. For example, the first preset threshold may be set to 3, and if the average value of the waveform index differences in each set of signals is greater than 3, the average value is considered to be a value far greater than zero, and then the ratio of all the average values of the waveform index differences far greater than zero is counted.
The preset occupancy threshold may be a threshold set in advance according to the test results of multiple times, and may be set with reference to corresponding criteria, for example, the preset occupancy threshold may be set to 95%, and may be 95.2%, as long as the threshold is reasonable and does not affect the final consistency test result.
Based on the above, if the ratio of each group of signal sets is greater than preSetting the duty threshold, correcting the theoretical waveform index and the theoretical waveform allowable error corresponding to the group of signal sets, and similarly correcting the waveform amplitude W in the theoretical waveform indexpeaks-Taking the allowable error delta of the standard and the theoretical waveform amplitude as an example, the specific process of the correction is as follows:
b1: calculating the average value and the standard deviation of the actual waveform amplitude difference in each group of signal sets with the occupation ratio larger than a preset occupation ratio threshold:
in the formula, MeanWps，T1Represents the average value, W, of the difference in the amplitude of the actual waveforms of the above signal set with a period T1ps，TiRepresents the waveform amplitude of the actual waveform in the i-th period, n represents the number of periods T1 in the output signal, StdWps，T1Representing the degree of dispersion of the actual waveform amplitude of period T1 in the signal set above.
B2: calculating the coverage of the interval (μ - κ σ, μ + κ σ), i.e. calculating:
where ∈ denotes a positive integer, μ denotes an average value of actual waveform amplitude differences in the period T1 in the signal set, and σ denotes a standard deviation of the actual waveform amplitude differences in the signal set.
It should be noted that, when k is equal to k, so that ∈ is greater than the preset duty threshold, the amplitude W of the theoretical waveform with the period T1 should be setpeaks-The amplitude tolerance error delta of the standard and theoretical waveforms is corrected to MeanWps，T1And κ StdWps，T1。
It should be noted that the ratio is greater than a preset ratio thresholdThe other theoretical waveform indexes in the value signal set can refer to the theoretical waveform amplitude W for correcting the allowable errorpeaks-The standard and theoretical waveform amplitudes allow for error delta and correction procedures that are not described in detail herein.
It can be understood that even if the duty ratio of each group of signal sets is not less than or equal to the preset duty ratio threshold, the theoretical waveform allowable error corresponding to the signal sets still needs to be corrected in consideration of the actual consistency check condition. Therefore, referring to fig. 3, the train product consistency checking method of the embodiment includes the following steps:
the steps S31 to S32 are the same as the steps S21 to S23, and are not described herein again.
Step S34: determining the average value of the current waveform index difference by using the average value of the waveform index differences in the signal set; judging whether the average value of the index difference of the current waveform is larger than the corresponding theoretical waveform allowable error and smaller than a first preset threshold, if so, keeping the theoretical waveform allowable error unchanged; judging whether the average value of the difference of the current waveform indexes is larger than zero and smaller than a second preset threshold value, if so, correcting the corresponding allowable error of the theoretical waveform into the average value of the difference of the current waveform indexes; wherein the second preset threshold is smaller than the first preset threshold.
The current waveform index difference average value may be determined by randomly selecting any one of the average values of the waveform index differences in the signal set as the current waveform index difference average value, or may be determined by averaging the average values of the waveform index differences in the signal set to obtain a value as the current waveform index difference average value.
The correlation of the first preset threshold in step S34 is the same as the first preset threshold in step S24. The second preset threshold is a threshold for measuring that the average value of the difference of the current waveform index is far smaller than the theoretical waveform allowable error. For example, in the consistency check process, if the theoretical waveform tolerance is 1, the second preset threshold may be set to 0.5, that is, if the current waveform index difference average value is greater than zero and less than the second preset threshold 0.5, the average value is considered to be a value greater than zero and much less than the theoretical waveform tolerance.
The beneficial effects of this embodiment can be seen from the above embodiments, and are not described herein again.
Correspondingly, the embodiment of the present application discloses a train product consistency checking system, as shown in fig. 4, including:
the operation data output module 41: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation;
the waveform index extraction module 42: the waveform index corresponding to the output signal is extracted to obtain an actual waveform index;
the waveform index analyzing module 43: the difference analysis module is used for performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result;
consistency check parameter modification module 44: and the consistency test device is used for correcting the consistency test parameters corresponding to the output signals by using the difference analysis results so as to carry out consistency test on the train products to be tested by using the corrected consistency test parameters.
For the specific working process among the modules in this embodiment, reference may be made to the train product consistency checking method disclosed in the present invention, and details are not described herein again.
Correspondingly, this application embodiment discloses a train product conformance testing equipment includes:
and the processor is used for realizing the steps of the train product consistency checking method when executing the computer program stored in the memory.
Referring to fig. 5, the train product consistency checking device can realize train product consistency checking, and the specific working process and technical part can refer to the above embodiment.
It should be noted that specific contents of the technical portion of the present embodiment can be referred to the above embodiments herein, and are not described herein again.
Accordingly, the embodiment of the present application discloses a computer readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the train product consistency checking method. For details of the technical portion of this embodiment, reference may be made to the above-mentioned embodiments, and further description is omitted here.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The method, the system, the equipment and the computer-readable storage medium for checking the consistency of the train product provided by the invention are introduced in detail, and a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (7)
1. A train product consistency checking method is characterized by comprising the following steps:
acquiring operation data output by a train product in a normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation;
extracting a waveform index corresponding to the output signal to obtain an actual waveform index;
performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result;
correcting the consistency inspection parameters of the theoretical waveforms corresponding to the output signals by using the difference analysis results, so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters;
wherein the step of extracting the waveform index corresponding to the output signal includes: determining the waveform period of the output signal according to the sampling frequency; calculating a waveform index of the output signal in each waveform period to obtain an actual waveform index;
the step of performing a difference analysis on the actual waveform indicator and the theoretical waveform indicator of the output signal includes: calculating a difference value between the actual waveform index and a theoretical waveform index of the output signal to obtain a corresponding waveform index difference; grouping the output signals by taking the cycle size as a grouping basis to obtain a corresponding signal set; wherein, the periods of the signals in each group of signal sets are all equal; calculating the average value of the waveform index difference in each group of signal sets;
the step of correcting the consistency check parameter corresponding to the output signal using the difference analysis result includes: respectively counting the ratio of the average value of the waveform index differences in each group of signal sets to be larger than a first preset threshold; judging whether the ratio of each group of signal sets is larger than a preset ratio threshold value or not; and if so, correcting the theoretical waveform index and the theoretical waveform allowable error corresponding to the group of signal sets.
2. The method for checking the consistency of train products according to claim 1, wherein before the step of extracting the waveform index corresponding to the output signal to obtain the actual waveform index, the method further comprises:
converting the data format of the output signal into a text file format;
and eliminating the signals with null values and the signals with all data being zero values in the output signals after format conversion to obtain the corrected output signals.
3. The train product consistency verification method according to claim 1, wherein the step of modifying the consistency verification parameter corresponding to the output signal using the difference analysis result includes:
determining the average value of the current waveform index difference by using the average value of the waveform index differences in the signal set;
judging whether the average value of the index difference of the current waveform is larger than the corresponding theoretical waveform allowable error and smaller than a first preset threshold, if so, keeping the theoretical waveform allowable error unchanged;
judging whether the average value of the difference of the current waveform indexes is larger than zero and smaller than a second preset threshold value, if so, correcting the corresponding allowable error of the theoretical waveform into the average value of the difference of the current waveform indexes;
wherein the second preset threshold is smaller than the first preset threshold.
4. The train product consistency checking method according to any one of claims 1 to 3, wherein the waveform index corresponding to the output signal comprises a waveform amplitude and/or a waveform amplitude fluctuation and/or a waveform transformation rate and/or a waveform overshoot and/or a waveform edge distortion.
5. A train product conformance testing system, comprising:
the operation data output module is used for acquiring operation data output by the train product in the normal operation process to obtain an output signal; wherein the output signal is a periodic waveform with positive and negative alternation;
the waveform index extraction module is used for extracting a waveform index corresponding to the output signal to obtain an actual waveform index;
the waveform index analysis module is used for performing difference analysis on the actual waveform index and the theoretical waveform index of the output signal to obtain a corresponding difference analysis result;
the consistency inspection parameter correction module is used for correcting the consistency inspection parameters of the theoretical waveforms corresponding to the output signals by using the difference analysis results so as to perform consistency inspection on the train products to be inspected by using the corrected consistency inspection parameters;
the waveform index extraction module is specifically configured to determine a waveform period of the output signal according to a sampling frequency; calculating a waveform index of the output signal in each waveform period to obtain an actual waveform index;
the waveform index analysis module is specifically configured to calculate a difference between the actual waveform index and a theoretical waveform index of the output signal to obtain a corresponding waveform index difference; grouping the output signals by taking the cycle size as a grouping basis to obtain a corresponding signal set; wherein, the periods of the signals in each group of signal sets are all equal; calculating the average value of the waveform index difference in each group of signal sets;
the consistency test parameter correction module is specifically used for respectively counting the ratio of the average value of the waveform index differences in each group of signal sets to be larger than a first preset threshold; judging whether the ratio of each group of signal sets is larger than a preset ratio threshold value or not; and if so, correcting the theoretical waveform index and the theoretical waveform allowable error corresponding to the group of signal sets.
6. A train product conformance testing apparatus, comprising:
a processor for implementing the steps of the train product conformance testing method of any one of claims 1 to 4 when executing the computer program stored in the memory.
7. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, carries out the steps of the train product conformance checking method according to any one of claims 1 to 4.
Priority Applications (1)
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