CN110187194B - Method, device and equipment for extracting waveform effective value and storage medium - Google Patents
Method, device and equipment for extracting waveform effective value and storage medium Download PDFInfo
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- CN110187194B CN110187194B CN201910329603.9A CN201910329603A CN110187194B CN 110187194 B CN110187194 B CN 110187194B CN 201910329603 A CN201910329603 A CN 201910329603A CN 110187194 B CN110187194 B CN 110187194B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/04—Measuring form factor, i.e. quotient of root-mean-square value and arithmetic mean of instantaneous value; Measuring peak factor, i.e. quotient of maximum value and root-mean-square value
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- G—PHYSICS
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- G06F17/10—Complex mathematical operations
Abstract
The application provides a method, a device, equipment and a storage medium for extracting a waveform effective value, wherein the method comprises the following steps: acquiring a specified waveform capable of reflecting the time variation of the value of a specified parameter; calculating the variance of the appointed waveform in a segmentation manner to obtain a variance distribution sequence corresponding to the appointed waveform, wherein one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform; and determining the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform. The method for extracting the effective value of the waveform can automatically extract the effective value of the specified waveform, reduces labor cost and time cost compared with a manual extraction mode, avoids the influence of subjective factors on an extraction result, and improves the accuracy of extraction of the effective value of the waveform.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for extracting a waveform effective value.
Background
In some fields, a waveform diagram of a specified object in the process of occurrence of a specified event is obtained, the waveform diagram reflects the change situation of a specified parameter in the specified event along with time, and after the waveform diagram is obtained, an effective value of the waveform diagram needs to be determined so as to obtain the relevant situation of the specified object in the process of occurrence of the specified event. For example, in the field of nuclear fusion, when nuclear fusion reactions are studied, a radio frequency ion source is generally required to provide an ion beam to a neutral beam implantation system, so that the neutral beam implantation system heats the ion beam, and in order to know the discharge condition of the radio frequency ion source, a waveform in a discharge mode of the radio frequency ion source needs to be acquired, and an effective value is extracted from the acquired waveform.
At present, the mode of extracting the waveform effective value is a manual extraction mode, that is, a researcher extracts the effective value from the waveform by means of some tools, and in some cases, the obtained waveform may be many, the mode of manually extracting the waveform effective value wastes time and labor, that is, the labor cost and the time cost are high, and the mode of manually extracting the waveform effective value is greatly influenced by subjective factors, which may result in inaccurate extracted effective value.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus, a device, and a storage medium for extracting a waveform effective value, so as to solve the problems in the prior art that manual extraction of a waveform effective value is time-consuming and labor-consuming, that is, labor cost and time cost are high, and the manual extraction of a waveform effective value is greatly affected by subjective factors, which may cause inaccurate extracted effective value, and the technical scheme is as follows:
a method of extracting a waveform effective value, comprising:
acquiring a specified waveform capable of reflecting the time variation of the value of a specified parameter;
calculating variances of the appointed waveform in a segmented mode, and obtaining a variance distribution sequence corresponding to the appointed waveform, wherein one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform;
determining an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as the final effective value of the specified waveform.
Optionally, the step of calculating the variance for the specified waveform segment to obtain a variance distribution sequence corresponding to the specified waveform includes:
sliding on the designated waveform through a sliding window with a preset size, acquiring waveform segments one by one, and calculating the variance corresponding to each waveform segment based on the value of the designated parameter corresponding to the waveform segment when each waveform segment is acquired so as to acquire a variance distribution sequence corresponding to the designated waveform;
wherein the variance at the specified waveform giant is captured based on the sliding window of the preset size.
Optionally, the determining the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform includes:
determining an effective waveform segment of the specified waveform as a first target waveform segment based on a variance distribution sequence corresponding to the specified waveform, wherein the effective waveform segment of the specified waveform is a waveform segment of which the specified parameter reaches a stable state;
and determining the effective value of the specified waveform according to the value of the specified parameter corresponding to the first target waveform segment.
Optionally, the determining an effective waveform segment of the specified waveform based on the variance distribution sequence corresponding to the specified waveform includes:
and determining an effective waveform segment in the specified waveform based on the variance variation in the variance distribution sequence corresponding to the specified waveform.
Optionally, the determining an effective waveform segment in the specified waveform based on a variation of a variance in a variance distribution sequence corresponding to the specified waveform includes:
determining a target variance set from a variance distribution sequence corresponding to the specified waveform; wherein the target variance set comprises a plurality of continuous variances, the target variance set satisfies a first condition and/or a second condition, and the first condition is that: each variance in the target set of variances is less than a preset multiple of a forward neighbor variance of a first variance in the target set of variances, and each variance in the target set of variances is less than a preset multiple of a backward neighbor variance of a last variance in the target set of variances, the second condition being: the target variance set satisfies: each variance in the target variance set is smaller than a preset multiple of a forward adjacent variance of a first variance in the target variance set, and a last variance in the target variance set is a last variance in a variance distribution sequence corresponding to the specified waveform;
obtaining a steady-state waveform segment in the specified waveform through the target variance set; one target variance set corresponds to one steady-state waveform section, and one steady-state waveform section consists of waveform sections corresponding to all variances in the corresponding target variance set;
obtaining an effective waveform segment of the specified waveform based on a steady state waveform segment in the specified waveform.
Optionally, the obtaining an effective waveform segment in the specified waveform based on the steady-state waveform segment includes:
if the steady-state waveform segment is a segment, determining the steady-state data segment as an effective waveform segment in the specified waveform;
and if the steady-state waveform segments are multiple segments, determining the steady-state waveform segment with the maximum target value as an effective waveform segment in the specified waveform, wherein the target value of one steady-state waveform segment is determined by the value of the specified parameter corresponding to the steady-state waveform segment.
Optionally, the method for extracting a waveform effective value further includes:
clustering values of the designated parameters corresponding to the designated waveforms by adopting a density-based clustering algorithm to obtain clustering results;
determining a valid value of the specified waveform as a second valid value of the specified waveform based on the clustering result;
and determining a final effective value of the specified waveform based on the first effective value and the second effective value of the specified waveform.
Optionally, the determining, based on the clustering result, a valid value of the specified waveform as a second valid value of the specified waveform includes:
if at least one type of data cluster exists in the clustering result, obtaining at least one steady-state waveform segment of the specified waveform based on the at least one type of data cluster; wherein, a data cluster of a category corresponds to a steady state waveform segment of the designated waveform;
determining an effective waveform segment of the specified waveform as a second target waveform segment based on at least one steady-state waveform segment of the specified waveform;
and determining the effective value of the specified waveform according to the value of the specified parameter corresponding to the second target waveform segment.
Optionally, the determining a final effective value of the specified waveform based on the first effective value of the specified waveform and the second effective value of the specified waveform includes:
if the specified waveform is a short-duration high-steady-state type waveform or a large-amplitude fluctuation type waveform with noise, determining the maximum effective value of a first effective value and a second effective value of the specified waveform as the final effective value of the specified waveform;
and if the specified waveform is not the waveform of the short-duration high steady state type and is not the waveform of the large-amplitude fluctuation type with noise, determining the average value of the first effective value and the second effective value of the specified waveform as the final effective value of the specified waveform.
An extraction device of a waveform effective value, comprising: the device comprises a waveform acquisition module, a variance calculation module and a first effective value determination module;
the waveform acquisition module is used for acquiring a specified waveform capable of reflecting the time variation condition of the value of the specified parameter;
the variance calculating module is used for calculating variances of the specified waveforms in a segmented manner to obtain variance distribution sequences corresponding to the specified waveforms, wherein one variance in the variance distribution sequences corresponding to the specified waveforms corresponds to one waveform segment of the specified waveforms;
the first effective value determining module is configured to determine an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as the final effective value of the specified waveform.
Optionally, the device for extracting the effective value of the waveform further includes: the data clustering module, the second effective value determining module and the target effective value determining module;
the data clustering module is used for clustering the data corresponding to the specified waveform by adopting a density-based clustering algorithm to obtain a clustering result of the data corresponding to the specified waveform;
the second effective value determining module is configured to determine, based on a clustering result of data corresponding to the specified waveform, an effective value of the specified waveform as a second effective value of the specified waveform;
and the target effective value determining module is used for determining the final effective value of the specified waveform based on the first effective value and the second effective value of the specified waveform.
An extraction device of a waveform effective value, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is used for executing the program and realizing the steps of the method for extracting the effective value of the waveform.
A readable storage medium on which a computer program is stored which, when executed by a processor, implements the steps of the method for extracting an effective value of a waveform.
According to the scheme, the method, the device, the equipment and the storage medium for extracting the effective value of the specified waveform provided by the application are used for firstly acquiring the specified waveform reflecting the time-varying condition of the value of the specified parameter, then converting the specified waveform into the variance distribution sequence, and finally determining the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform. According to the process, the method for extracting the effective value of the specified waveform can automatically extract the effective value of the specified waveform, reduces labor cost and time cost compared with a manual extraction mode, avoids the influence of subjective factors on an extraction result, and improves the accuracy of extracting the effective value of the waveform.
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 schematic flow chart of a method for extracting a waveform effective value according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an example of a specified waveform provided by an embodiment of the present application;
FIG. 3 is a diagram illustrating a minimum time at variance giant provided by an embodiment of the present application;
fig. 4 is a schematic flowchart of an implementation process for determining an effective waveform segment of a specified waveform based on a variance distribution sequence corresponding to the specified waveform according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an example of an active waveform segment provided by an embodiment of the present application;
FIG. 6 is a schematic diagram illustrating an example of a short duration high steady state type waveform provided by an embodiment of the present application;
FIG. 7 is a diagram illustrating a waveform of a large amplitude fluctuation type with noise according to an embodiment of the present application;
fig. 8 is another schematic flowchart of a method for extracting a waveform effective value according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an apparatus for extracting a waveform effective value according to an embodiment of the present application;
fig. 10 is another schematic structural diagram of an apparatus for extracting a waveform effective value according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of a waveform effective value extraction device according to an embodiment of the present application.
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.
In view of the problems that the effective value of the waveform needs to be extracted in some fields, the manual effective value extraction mode has high labor cost and time cost, and the extracted effective value is unreliable, the inventor of the present application conducts an in-depth study, and finally provides a method for extracting the effective value of the waveform with a good effect. Next, the waveform effective value extraction method provided by the present application will be described by the following embodiments.
Referring to fig. 1, a flow chart of a waveform effective value extracting method according to an embodiment of the present invention is shown, where the method includes:
step S101: a specified waveform capable of reflecting the time-varying condition of the value of a specified parameter is acquired.
The energy is facing to a plurality of problems as the material basis of human survival and social development, and nuclear fusion becomes strategic energy for fundamentally solving the energy problem of human because of the advantages of rich raw materials, high energy conversion rate, clean use and the like. The uncontrolled nuclear fusion reaction in the current society is already realized, but the uncontrolled nuclear fusion reaction processes can not only be controlled but also cause irrestrictive catastrophic results, the potential safety hazard brought by the uncontrolled processes is solved, the controllable and stable energy output is obtained, and the method is the direction needing to be researched in the near stage.
At present, when nuclear fusion is researched, a neutral beam injection system is generally adopted to heat plasma so as to realize a fusion process, an ion source provides ion beams with certain parameters for the neutral beam injection system, and a radio frequency ion source has the advantages of simple structure, low manufacturing cost, no electrode pollution, long service life and the like, so that the radio frequency ion source becomes one of main research sources in the fusion plasma source.
In view of this, the specified waveform in the present embodiment may be, but is not limited to, a nuclear fusion domain, a waveform reflecting a time variation of a relevant parameter in the rf ion source discharge mode, for example, a waveform reflecting a time variation of an intake air amount in the rf ion source discharge mode, a waveform reflecting a time variation of a feedback current in the rf ion source discharge mode, and the like.
Referring to fig. 2, examples of some waveforms in the discharge mode of the radio frequency ion source are shown, two waveforms on the leftmost side in fig. 2 are fault state waveforms, a waveform on the upper left side is a fault state waveform of the feedback current, a waveform on the lower left side is a fault state waveform of the intake air amount, a waveform on the quasi-square wave form, a waveform on the reverse quasi-square wave form, a waveform on the steady state, a waveform on the stepped quasi-square wave form, a waveform on the reverse quasi-square wave form, and a waveform on the climbing slope type in fig. 2 are effective waveforms, a waveform on the normal wave form of the feedback current is a quasi-square wave form, and a waveform on the normal wave form of the intake air amount is a climbing type waveform.
Step S102: and calculating the variance of the appointed waveform in a segmented manner to obtain a variance distribution sequence corresponding to the appointed waveform.
Wherein, one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform.
Specifically, the specified waveform may be segmented based on time, specifically, the specified wavelength may be segmented based on a preset time length, for example, if the preset time length is 30ms, then one waveform segment is provided every 30ms, then the waveform with the time length of 100ms may be divided into 4 waveform segments, for each waveform segment, the variance corresponding to the waveform segment is calculated, specifically, the variance is calculated for the value of the specified parameter corresponding to the waveform segment, and the calculated method is used as the variance corresponding to the waveform segment.
Step S103: and determining an effective value of the specified waveform as a first effective value of the specified waveform and a first effective value of the specified waveform as a final effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform.
Specifically, the process of determining the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform may include: determining an effective waveform segment of the specified waveform as a first target waveform segment based on the variance distribution sequence corresponding to the specified waveform; and determining the effective value of the specified waveform through the value of the specified parameter corresponding to the first target waveform segment.
The effective waveform segment of the designated waveform is a waveform segment of which the designated parameter reaches a stable state, and exemplarily, the designated waveform is a waveform reflecting the time variation of the feedback current in the discharge mode of the radio frequency ion source, and the effective waveform segment of the designated waveform is a waveform segment of which the feedback current of the radio frequency ion source reaches a stable output state.
Wherein, the process of determining the effective value of the specified waveform through the data corresponding to the first target waveform segment includes: and averaging all values of the specified parameters corresponding to the first target waveform segment, and taking the calculated average value as the effective value of the specified waveform.
The method for extracting the effective value of the specified waveform provided by the embodiment of the application firstly obtains the specified waveform (for example, the waveform of the time-varying relevant parameters in the nuclear fusion field and the ion source discharge mode), then converts the specified waveform into the variance distribution sequence, and finally determines the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform. According to the process, the method for extracting the effective value of the waveform can automatically extract the effective value of the specified waveform, reduces labor cost and time cost compared with a manual extraction mode, avoids the influence of subjective factors on an extraction result, and improves the accuracy of extracting the effective value of the waveform.
The following is made to the "step S102" in the above embodiment: and calculating the variance of the appointed waveform in a segmentation manner to obtain a variance distribution sequence corresponding to the appointed waveform, and introducing.
In a possible implementation manner, the step of calculating the variance for the specified waveform segment and obtaining the variance distribution sequence corresponding to the specified waveform may include: and sliding on the designated waveform through a sliding window with a preset size to obtain waveform segments one by one, and calculating the variance corresponding to the waveform segments based on the values of the designated parameters corresponding to the waveform segments when each waveform segment is obtained, so as to obtain the variance distribution sequence corresponding to the designated waveform. The variance is calculated by the sliding window in a segmented mode on the appointed waveform, so that the problems of excessive memory occupation and low-efficiency operation caused by calculation on all data at one time can be solved.
When the variance of the specified waveform is calculated by adopting the sliding window, the size of the sliding window is set to be important, and the size of the sliding window is required to meet the following requirements: with the sliding of the sliding window, the variance at the waveform giant change can be captured to the maximum extent. It should be noted that, if the sliding window is set too large or too small, the variance at the waveform giant change position is affected, and if the sliding window is too small, the distribution state of data in the window is approximately stable, which results in that the change of the total variance of the waveform cannot be captured, and further results in that an effective waveform section cannot be located; if the sliding window is too large, the variation trend of the total variance of the captured waveform is attenuated, the variance variation is reduced, the time length of the positioned effective waveform section is short, and the determined effective value of the waveform is inaccurate.
In one possible implementation, the size of the sliding window can be defined as the shortest time at which the variance is great in the waveform, and referring to fig. 3, a schematic diagram of the shortest time at which the variance is great is shown. The process of determining the size of the sliding window may include: the method comprises the steps of determining the maximum size of a sliding window based on the characteristics of a specified waveform, setting a plurality of candidate sizes smaller than or equal to the maximum size based on the maximum size, calculating the variance of a normal waveform segment by adopting the sliding window of each candidate size, and determining the size with the best segmentation effect from the candidate sizes as the size of the sliding window based on the calculation result.
Illustratively, the specified waveform is a waveform reflecting the time variation of the feedback current in the discharge mode of the rf ion source, the rf ion source generates a certain current overshoot phenomenon before and after in the stable discharge mode, the current overshoot time is short, and generally maintained at about 100ms, the size of the sliding window should be less than half of the entire overshoot time, that is, the maximum size of the sliding window is 50ms, in one possible implementation, the size of the sliding window may be 5ms, 10ms, 15ms, 20ms, 25ms, 30ms, 35ms, 40ms, 45ms, and 50ms, respectively, the variance is calculated for the normal waveform reflecting the time variation of the feedback current in the discharge mode of the rf ion source, and the optimal size is determined from the sizes of the sliding window based on the calculation result.
Assuming that the optimal size of the sliding window is 30ms, sliding the sliding window of 30ms on the specified waveform, and acquiring waveform segments one by one, namely calculating the variance of the waveform segments in the sliding window once every 30 ms.
As mentioned above, the effective waveform segment of the specified waveform can be determined based on the variance distribution sequence corresponding to the specified waveform, and the effective value of the specified waveform can be determined by the data corresponding to the first target waveform segment as the first target waveform segment. The following describes an implementation process for determining an effective waveform segment of a given waveform based on a variance distribution sequence corresponding to the given waveform.
Referring to fig. 4, a flowchart illustrating an implementation process for determining an effective waveform segment of a specified waveform based on a variance distribution sequence corresponding to the specified waveform may include:
step S401: and determining a target variance set from the variance distribution sequence corresponding to the specified waveform.
Wherein the target set comprises a plurality of continuous variances in the variance distribution sequence corresponding to the specified waveform.
In general, as shown in fig. 5, the effective waveform segment of the designated waveform is a waveform segment with variance from high to low and from low to high, or a waveform segment with variance from high to low and belonging to low variance until the last, based on which the target variance set in the embodiment needs to satisfy a first condition and/or a second condition, where the first condition is: each variance in the target set of variances is less than a preset multiple (e.g., 1/2 times) of a forward neighbor variance of a first variance in the target set of variances, and each variance in the target set of variances is less than a preset multiple (e.g., 1/2 times) of a backward neighbor variance of a last variance in the target set of variances, the second condition being: each variance in the target set of variances is less than a preset multiple (e.g., 1/2 times) of a forward neighbor variance of a first variance in the target set of variances, and a last variance in the target set of variances is a last variance in a sequence of variance distributions corresponding to the specified waveform.
Step S402: and obtaining a steady-state waveform segment in the specified waveform through the target variance set.
One target variance set corresponds to one steady-state waveform section, and one steady-state waveform section consists of waveform sections corresponding to all variances in the corresponding target variance set.
Step S403: based on the steady state waveform segment in the specified waveform, an effective waveform segment in the specified waveform is obtained.
Specifically, if the steady-state waveform segment is a segment, the steady-state data segment is determined as an effective waveform segment of the specified waveform; if the steady-state waveform segment is a plurality of segments, determining the steady-state waveform segment with the maximum target value as an effective waveform segment in the designated waveform, wherein the target value of one steady-state waveform segment is determined by the value of the designated parameter corresponding to the steady-state waveform segment.
If there is no steady-state waveform segment, the first effective value of the designated waveform is set to 0.
It should be noted that, the above-mentioned manner of determining the effective value of the waveform based on the variance distribution sequence is relatively applicable to the waveform of the short duration high steady state type, please refer to fig. 6, which shows a schematic diagram of the waveform of the short duration high steady state type, and the manner of determining the effective value of the waveform based on the variance distribution sequence can efficiently and accurately determine the effective value of the waveform of the short duration high steady state type, however, in some cases, the waveform of the effective value needs to be determined may not be the waveform of the short duration high steady state type, but may also be the waveform of the large amplitude fluctuation type with noise, please refer to fig. 7, which shows a schematic diagram of the waveform of the large amplitude fluctuation type with noise, in order to accurately determine the effective values of various types of waveforms, an embodiment of the present application provides another method of extracting the waveform effective value with a wider application range, please refer to fig. 8, which shows a flow schematic diagram of the, the method can comprise the following steps:
step S801: and acquiring a specified waveform capable of reflecting the change condition of the specified parameter along with time.
The specified waveform can be in the field of nuclear fusion and reflects the waveform of the time-varying specified parameter in the discharge mode of the radio-frequency ion source.
Step S802: and calculating the variance of the appointed waveform in a segmented manner to obtain a variance distribution sequence corresponding to the appointed waveform.
Wherein, one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform.
Optionally, the waveform segment may be obtained one by sliding a sliding window of a preset size on the specified waveform, and when each waveform segment is obtained, the variance corresponding to the waveform segment is calculated based on the value of the specified parameter corresponding to the waveform segment, so as to obtain the variance distribution sequence corresponding to the specified waveform.
Step S803: and determining an effective value of the specified waveform as a first effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform.
For the specific implementation process of steps S801 to S803, reference may be made to the description of the foregoing embodiment, which is not described herein again.
Step S804: and clustering values of the designated parameters corresponding to the designated waveforms by adopting a density-based clustering algorithm to obtain a clustering result.
In a possible implementation manner, the process of clustering the value of the designated parameter corresponding to the designated waveform by using a density-based clustering algorithm includes: setting values of designated parameters corresponding to designated waveforms into a data set D, marking data in the data set D into an unaccessed state, randomly selecting an unaccessed data S from the data set D, changing the state of the unaccessed data S into an accessed state, judging whether the number of data contained in an r-neighborhood of S is greater than or equal to a preset number N, if so, creating a cluster S for S, putting all data contained in the r-neighborhood (r is preset) of S into a candidate set N, iteratively adding data which do not belong to other clusters in the candidate set N into the cluster S, and thus obtaining a cluster S, namely obtaining a data cluster of a category; and continuously randomly selecting one data from the unaccessed data of the data set D, and clustering by using the clustering process until the data in the data set D are accessed.
The iterative process of adding data not belonging to other clusters in N to the cluster S may include: and taking out an unaccessed data p from the candidate set N, changing the state of the data p into accessed state, judging whether the number of data contained in the r-neighborhood of the data p is more than or equal to a preset number N, if so, adding the data contained in the r-neighborhood of the p into the cluster S, and continuing to take out an unaccessed data from the candidate set N to execute the process until no unaccessed data which are not taken out exist in the candidate set N.
Step S805: an effective value of the specified waveform is determined based on the clustering result as a second effective value of the specified waveform.
Specifically, the process of determining the effective value of the specified waveform based on the clustering result may include: if at least one type of data cluster exists in the clustering result, determining at least one steady-state waveform segment of the designated waveform based on the at least one type of data cluster, wherein the one type of data cluster corresponds to the one steady-state waveform segment of the designated waveform; determining an effective waveform segment of the designated waveform as a second target waveform segment based on at least one steady-state waveform segment of the designated waveform; an effective value of the specified waveform is determined by the second target waveform segment.
Wherein determining the valid waveform segment of the given waveform based on the at least one steady-state waveform segment of the given waveform comprises: if the steady-state waveform segment is a segment, determining the steady-state data segment as an effective waveform segment of the specified waveform; and if the steady-state waveform segments are multiple segments, determining the steady-state waveform segment with the maximum target value as an effective waveform segment in the specified waveform, wherein the target value of one steady-state waveform segment is determined by the value of the specified parameter corresponding to the steady-state waveform segment.
If there is no steady-state waveform segment, the second effective value of the designated waveform is set to 0.
It should be noted that, in this embodiment, the execution order of steps S801 to S803 and steps S804 to S805 is not limited, and steps S801 to S803 may be executed first, and steps S804 to S805 may be executed second, or steps S804 to S805 may be executed first, and steps S801 to S803 may be executed second, or steps S804 to S805 and steps S801 to S803 may be executed in parallel.
Step S806: a final effective value of the specified waveform is determined based on the first effective value and the second effective value of the specified waveform.
Specifically, when the first effective value and the second effective value of the specified waveform are not in the same order, the maximum effective value of the first effective value and the second effective value of the specified waveform is determined as the final effective value of the specified waveform; when the first effective value and the second effective value of the specified waveform are of the same magnitude, the average of the first effective value and the second effective value of the specified waveform is determined as the final effective value of the specified waveform. Illustratively, if the first valid value is 0.13 and the second valid value is 1.2, the first valid value and the second valid value are not in the same order, and if the first valid value is 0.13 and the second valid value is 0.17, the first valid value and the second valid value are in the same order.
It should be noted that, when the specified waveform is a short-duration hyperstatic type waveform or a noisy large-amplitude fluctuation type waveform, the effective values of the specified waveforms are usually not on the same order, and when the specified waveform is a short-duration hyperstatic type waveform, the larger one of the first effective value and the second effective value is the first effective value, in this case, the effective value determined by the variance distribution sequence is substantially used as the final effective value of the specified waveform, and when the specified waveform is a noisy large-amplitude fluctuation type waveform, the larger one of the first effective value and the second effective value is the second effective value, in this case, the effective value determined by the clustering result is substantially used as the final effective value of the specified waveform.
According to the waveform effective value determining method provided by the embodiment of the application, on one hand, a first effective value of the specified waveform is determined by adopting a waveform effective value determining mode based on a variance distribution sequence, on the other hand, a second effective value of the specified waveform is determined by adopting a waveform effective value determining mode based on a clustering algorithm, and finally, a final effective value of the specified waveform is determined according to the first effective value and the second effective value. The waveform effective value extraction method provided by the embodiment of the application can automatically extract the effective value of the specified waveform, compared with a manual extraction mode, the labor cost and the time cost are reduced, the influence of subjective factors on the extraction result is avoided, and the accuracy of the extraction of the waveform effective value is improved.
The following describes the apparatus for extracting a waveform effective value provided in the embodiments of the present application, and the apparatus for extracting a waveform effective value described below and the method for extracting a waveform effective value described above may be referred to in correspondence with each other.
Referring to fig. 9, a schematic structural diagram of an apparatus for extracting a waveform effective value according to an embodiment of the present invention is shown, where the apparatus for extracting a waveform effective value includes: a waveform acquisition module 901, a variance calculation module 902 and a first effective value determination module 903.
A waveform obtaining module 901, configured to obtain a specified waveform that can reflect a time variation of a value of a specified parameter.
A variance calculating module 902, configured to calculate a variance for the specified waveform in a segmented manner, so as to obtain a variance distribution sequence corresponding to the specified waveform.
Wherein one variance in the sequence of variance distributions corresponding to the specified waveform corresponds to one waveform segment of the specified waveform.
A first effective value determining module 903, configured to determine, based on a variance distribution sequence corresponding to the specified waveform, an effective value of the specified waveform as a first effective value of the specified waveform; the first effective value is used as the final effective value of the specified waveform.
The extraction device of appointed waveform effective value that this application embodiment provided, at first acquire appointed waveform, then convert appointed waveform into variance distribution sequence, the effective value of appointed waveform is confirmed based on the variance distribution sequence that appointed waveform corresponds at last, it is thus clear that the extraction device of waveform effective value that this application embodiment provided can draw the effective value of appointed waveform automatically, compare in artifical extraction mode, the cost of labor and time cost have been reduced, and the influence of subjective factor to the extraction result has been avoided, the degree of accuracy that the waveform effective value was drawed has been improved.
In a possible implementation manner, the variance calculating module 902 in the apparatus for extracting a waveform effective value provided in the foregoing embodiment is specifically configured to slide on the specified waveform through a sliding window with a preset size, obtain waveform segments one by one, and calculate, when each waveform segment is obtained, a variance corresponding to the waveform segment based on a value of a specified parameter corresponding to the waveform segment, so as to obtain a variance distribution sequence corresponding to the specified waveform; wherein the variance at the specified waveform giant is captured based on the sliding window of the preset size.
In a possible implementation manner, the first effective value determining module 903 in the apparatus for extracting a waveform effective value provided in the foregoing embodiment includes: a first valid waveform segment determination submodule and a first valid value determination submodule.
And the first effective waveform segment determining submodule is used for determining the effective waveform segment of the specified waveform as a first target waveform segment based on the variance distribution sequence corresponding to the specified waveform, wherein the effective waveform segment of the specified waveform is the waveform segment of the specified parameter reaching a stable state.
And the first effective value determining submodule is used for determining the effective value of the specified waveform according to the value of the specified parameter corresponding to the first target waveform segment.
In a possible implementation manner, the first effective waveform segment determining submodule is specifically configured to determine an effective waveform segment in the specified waveform based on a variation of a variance in a variance distribution sequence corresponding to the specified waveform.
In a possible implementation manner, the first effective waveform segment determining submodule is specifically configured to determine a target variance set from a variance distribution sequence corresponding to the specified waveform; obtaining a steady-state waveform segment in the specified waveform through the target variance set; one target variance set corresponds to one steady-state waveform section, and one steady-state waveform section consists of waveform sections corresponding to all variances in the corresponding target variance set; obtaining an effective waveform segment of the specified waveform based on a steady state waveform segment in the specified waveform.
Wherein the target variance set comprises a plurality of continuous variances, the target set satisfies a first condition and/or a second condition, and the first condition is that: each variance in the target set of variances is less than a preset multiple of a forward neighbor variance of a first variance in the target set of variances, and each variance in the target set is less than a preset multiple of a backward neighbor variance of a last variance in the target set of variances, the second condition being: the target set satisfies: each variance in the target variance set is smaller than a preset multiple of a forward adjacent variance of a first variance in the target set, and a last variance in the target variance set is a last variance in a variance distribution sequence corresponding to the specified waveform.
In a possible implementation manner, the first effective waveform segment determining sub-module, when obtaining the effective waveform segment in the specified waveform based on the steady-state waveform segment, is specifically configured to determine the steady-state data segment as the effective waveform segment in the specified waveform when the steady-state waveform segment is a segment; and when the steady-state waveform segments are multiple segments, determining the steady-state waveform segment with the maximum target value as an effective waveform segment in the specified waveform, wherein the target value of one steady-state waveform segment is determined by the value of the specified parameter corresponding to the steady-state waveform segment.
Preferably, as shown in fig. 10, the apparatus for extracting a waveform effective value provided by the above embodiment may further include: a data clustering module 1001, a second validity value determination module 1002, and a target validity value determination module 1003.
And the data clustering module 1001 is configured to cluster the values of the designated parameters corresponding to the designated waveforms by using a density-based clustering algorithm to obtain a clustering result.
A second effective value determining module 1002, configured to determine, based on the clustering result, an effective value of the specified waveform as a second effective value of the specified waveform.
A target effective value determining module 1003, configured to determine a final effective value of the specified waveform based on the first effective value and the second effective value of the specified waveform.
In one possible implementation, the second valid value determining module 1002 includes: a steady-state waveform segment acquisition submodule, a second effective waveform segment determination submodule and a second effective value determination submodule.
The steady-state waveform segment acquisition sub-module is used for acquiring at least one steady-state waveform segment of the specified waveform based on at least one category of data cluster when the at least one category of data cluster exists in the clustering result; wherein a data cluster of a class corresponds to a steady state waveform segment of the specified waveform.
And the second effective waveform segment determining submodule is used for determining the effective waveform segment of the specified waveform as a second target waveform segment based on at least one steady-state waveform segment of the specified waveform.
And the second effective value determining submodule is used for determining the effective value of the specified waveform according to the value of the specified parameter corresponding to the second target waveform segment.
In a possible implementation manner, the target effective value determining module 1003 is specifically configured to determine, when the specified waveform is a short-duration high-steady-state type waveform or a large-amplitude fluctuation type waveform with noise, a maximum effective value of a first effective value and a second effective value of the specified waveform as a final effective value of the specified waveform; and when the specified waveform is not the waveform of the short-duration high steady state type and is not the waveform of the large-amplitude fluctuation type with noise, determining the average value of the first effective value and the second effective value of the specified waveform as the final effective value of the specified waveform.
An embodiment of the present application further provides a device for extracting a waveform effective value, please refer to fig. 11, which shows a schematic structural diagram of the device for extracting a waveform effective value, where the device for extracting a waveform effective value may include: at least one processor 1101, at least one communication interface 1102, at least one memory 1103, and at least one communication bus 1104;
in the embodiment of the present application, the number of the processor 1101, the communication interface 1102, the memory 1103 and the communication bus 1104 is at least one, and the processor 1101, the communication interface 1102 and the memory 1103 complete communication with each other through the communication bus 1104;
the processor 1101 may be a central processing unit CPU, or an application Specific Integrated circuit (asic), or one or more Integrated circuits configured to implement embodiments of the present invention, or the like;
the memory 1103 may include a high-speed RAM memory, a non-volatile memory (non-volatile memory), and the like, such as at least one disk memory;
wherein the memory stores a program and the processor can call the program stored in the memory, the program for:
acquiring a specified waveform capable of reflecting the time variation of the value of a specified parameter;
calculating variances of the appointed waveform in a segmented mode, and obtaining a variance distribution sequence corresponding to the appointed waveform, wherein one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform;
determining an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as the final effective value of the specified waveform.
Alternatively, the detailed function and the extended function of the program may be as described above.
Embodiments of the present application further provide a readable storage medium, where a program suitable for being executed by a processor may be stored, where the program is configured to:
acquiring a specified waveform capable of reflecting the time variation of the value of a specified parameter;
calculating variances of the appointed waveform in a segmented mode, and obtaining a variance distribution sequence corresponding to the appointed waveform, wherein one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform;
determining an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as the final effective value of the specified waveform.
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 embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (12)
1. A method for extracting a waveform effective value, comprising:
acquiring a specified waveform capable of reflecting the time variation of the value of a specified parameter;
calculating variances of the appointed waveform in a segmented mode, and obtaining a variance distribution sequence corresponding to the appointed waveform, wherein one variance in the variance distribution sequence corresponding to the appointed waveform corresponds to one waveform segment of the appointed waveform;
determining an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as a final effective value of the specified waveform;
wherein the determining the effective value of the specified waveform based on the variance distribution sequence corresponding to the specified waveform comprises:
determining an effective waveform segment of the specified waveform as a first target waveform segment based on a variance distribution sequence corresponding to the specified waveform, wherein the effective waveform segment of the specified waveform is a waveform segment of which the specified parameter reaches a stable state;
averaging all values of the specified parameters corresponding to the first target waveform segment, and taking the calculated average value as an effective value of the specified waveform.
2. The method for extracting a waveform effective value according to claim 1, wherein the step of calculating the variance for the specified waveform segment to obtain a variance distribution sequence corresponding to the specified waveform comprises:
sliding on the designated waveform through a sliding window with a preset size, acquiring waveform segments one by one, and calculating the variance corresponding to each waveform segment based on the value of the designated parameter corresponding to the waveform segment when each waveform segment is acquired so as to acquire a variance distribution sequence corresponding to the designated waveform;
wherein the variance at the specified waveform giant is captured based on the sliding window of the preset size.
3. The method according to claim 1, wherein the determining the effective waveform segment of the specified waveform based on the variance distribution sequence corresponding to the specified waveform comprises:
and determining an effective waveform segment in the specified waveform based on the variance variation in the variance distribution sequence corresponding to the specified waveform.
4. The method according to claim 3, wherein the determining the effective waveform segment in the specified waveform based on the variance variation in the variance distribution sequence corresponding to the specified waveform comprises:
determining a target variance set from a variance distribution sequence corresponding to the specified waveform; wherein the target set comprises a plurality of continuous variances, the target variance set satisfies a first condition and/or a second condition, and the first condition is that: each variance in the target set of variances is less than a preset multiple of a forward neighbor variance of a first variance in the target set of variances, and each variance in the target set of variances is less than a preset multiple of a backward neighbor variance of a last variance in the target set of variances, the second condition being: each variance in the target variance set is smaller than a preset multiple of a forward adjacent variance of a first variance in the target variance set, and a last variance in the target variance set is a last variance in a variance distribution sequence corresponding to the specified waveform;
obtaining a steady-state waveform segment in the specified waveform through the target variance set; one target variance set corresponds to one steady-state waveform section, and one steady-state waveform section consists of waveform sections corresponding to all variances in the corresponding target variance set;
obtaining an effective waveform segment of the specified waveform based on a steady state waveform segment in the specified waveform.
5. The method according to claim 4, wherein said obtaining the effective waveform segment of the specified waveform based on the steady-state waveform segment in the specified waveform comprises:
if the steady-state waveform segment is a segment, determining the steady-state data segment as an effective waveform segment in the specified waveform;
and if the steady-state waveform segments are multiple segments, determining the steady-state waveform segment with the maximum target value as an effective waveform segment in the specified waveform, wherein the target value of one steady-state waveform segment is determined by the value of the specified parameter corresponding to the steady-state waveform segment.
6. The method of extracting a waveform effective value according to any one of claims 1 to 5, further comprising:
clustering values of the designated parameters corresponding to the designated waveforms by adopting a density-based clustering algorithm to obtain clustering results;
determining a valid value of the specified waveform as a second valid value of the specified waveform based on the clustering result;
and determining a final effective value of the specified waveform based on the first effective value and the second effective value of the specified waveform.
7. The method according to claim 6, wherein said determining the effective value of the specified waveform based on the clustering result includes:
if at least one type of data cluster exists in the clustering result, obtaining at least one steady-state waveform segment of the specified waveform based on the at least one type of data cluster; wherein a data cluster of a class corresponds to a steady state waveform segment of the specified waveform;
determining an effective waveform segment of the specified waveform as a second target waveform segment based on at least one steady-state waveform segment of the specified waveform;
and determining the effective value of the specified waveform according to the value of the specified parameter corresponding to the second target waveform segment.
8. The method according to claim 6, wherein the determining a final effective value of the specified waveform based on the first effective value of the specified waveform and the second effective value of the specified waveform includes:
if the specified waveform is a short-duration high-steady-state type waveform or a large-amplitude fluctuation type waveform with noise, determining the maximum effective value of a first effective value and a second effective value of the specified waveform as the final effective value of the specified waveform;
and if the specified waveform is not the waveform of the short-duration high steady state type and is not the waveform of the large-amplitude fluctuation type with noise, determining the average value of the first effective value and the second effective value of the specified waveform as the final effective value of the specified waveform.
9. An extraction device of a waveform effective value, comprising: the device comprises a waveform acquisition module, a variance calculation module and a first effective value determination module;
the waveform acquisition module is used for acquiring a specified waveform capable of reflecting the time variation condition of the value of the specified parameter;
the variance calculating module is used for calculating variances of the specified waveforms in a segmented manner to obtain variance distribution sequences corresponding to the specified waveforms, wherein one variance in the variance distribution sequences corresponding to the specified waveforms corresponds to one waveform segment of the specified waveforms;
the first effective value determining module is configured to determine an effective value of the specified waveform as a first effective value of the specified waveform based on a variance distribution sequence corresponding to the specified waveform; the first effective value is used as a final effective value of the specified waveform;
the first effective value determining module is specifically configured to determine, based on the variance distribution sequence corresponding to the specified waveform, an effective waveform segment of the specified waveform as a first target waveform segment, average all values of the specified parameter corresponding to the first target waveform segment, and use a calculated mean value as an effective value of the specified waveform, where the effective waveform segment of the specified waveform is a waveform segment in which the specified parameter reaches a stable state.
10. The apparatus for extracting a waveform effective value according to claim 9, further comprising: the data clustering module, the second effective value determining module and the target effective value determining module;
the data clustering module is used for clustering the data corresponding to the specified waveform by adopting a density-based clustering algorithm to obtain a clustering result of the data corresponding to the specified waveform;
the second effective value determining module is configured to determine, based on a clustering result of data corresponding to the specified waveform, an effective value of the specified waveform as a second effective value of the specified waveform;
and the target effective value determining module is used for determining the final effective value of the specified waveform based on the first effective value and the second effective value of the specified waveform.
11. An apparatus for extracting an effective value of a waveform, comprising: a memory and a processor;
the memory is used for storing programs;
the processor, which executes the program, realizes each step of the method for extracting a waveform effective value according to any one of claims 1 to 8.
12. A readable storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the steps of the method for extracting a waveform effective value according to any one of claims 1 to 8.
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