CN112924308A - Load spectrum acquisition method and device, computer readable storage medium and equipment - Google Patents
Load spectrum acquisition method and device, computer readable storage medium and equipment Download PDFInfo
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Abstract
The application discloses a load spectrum obtaining method, a load spectrum obtaining device, a computer readable storage medium and a load spectrum obtaining device. And analyzing the load signal to obtain a plurality of characteristic peak values, wherein the characteristic peak values are used for indicating the maximum load value of the load signal in a preset time period. And setting serial number identification for the characteristic peak value based on the value of the maximum load value. And sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum. And according to the sequence of the timestamps corresponding to the characteristic peak values from early to late, sequentially reconstructing the load cycle in the target value taking interval without changing the actual working condition action sequence of the load signal. Therefore, the load spectrum obtained by the method does not have a large difference with the actual working condition of the load signal, and the precision and the reliability of the fatigue test can be effectively guaranteed.
Description
Technical Field
The present application relates to the field of load experiments, and in particular, to a load spectrum obtaining method, apparatus, computer-readable storage medium, and device.
Background
The load spectrum is the most important loading input when a fatigue test is carried out in a laboratory, the load spectrum used in the fatigue test usually needs to be subjected to approximate processing (including load signal classification and load signal reconstruction), and the approximate processing method is required to be close to the actual working condition as much as possible, so that the precision and the reliability of the fatigue test can be ensured. For example, the rail vehicle obtains a load spectrum by means of line testing, load signals at a center plate, side bearings and a coupler of the rail vehicle are recorded in the load spectrum, the load signals have randomness, and therefore, the load spectrum needs to be approximately processed.
At present, the load spectrum obtained by the existing approximate processing method has a large difference with the actual working condition of a load signal, so that the precision and the reliability of a fatigue test are obviously reduced.
Disclosure of Invention
The applicant found that: in the existing load signal reconstruction mode, load signals of all levels are sequentially reconstructed according to the sequence of preset levels of the load signals from large to small (or from small to large), so that the actual working condition action sequence of the load signals can be changed.
The application provides a load spectrum obtaining method, a load spectrum obtaining device, a computer readable storage medium and a computer readable storage device, and aims to reduce the difference between the load spectrum and the actual working condition of a load signal, so that the precision and the reliability of a fatigue test can be effectively guaranteed.
In order to achieve the above object, the present application provides the following technical solutions:
a load spectrum acquisition method, comprising:
calculating to obtain a plurality of load cycles according to the collected load signals;
analyzing the load signal to obtain a plurality of characteristic peak values; the characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period;
setting a serial number identifier for the characteristic peak value based on the value of the maximum load value;
sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum; the target value interval is a value interval with the same serial number as that of the characteristic peak value; the value interval is determined based on the damage value of the load cycle; the sequence number of the value interval is determined based on the value upper limit of the value interval.
Optionally, the determining the value interval based on the damage value of the load cycle includes:
dividing the total damage value of all the load cycles into m damage values, wherein m is a positive integer;
taking any one of the damage values as a target value;
calculating a range value for each of the load cycles;
sequencing the load cycles according to the sequence of the range values from small to large to obtain a load sequence;
accumulating and calculating damage values of all load cycles in the load sequence according to the sequence of the sequence from front to back;
determining m limits based on the comparison of the target value and the damage value for each of the load cycles;
and setting m value intervals for the range value according to the m limits.
Optionally, the determining m limits based on the comparison result between the target value and the damage value of each of the load cycles includes:
taking a damage value with the value equal to n times of the target value as an nth damage value; n is a positive integer, and n is 1, 2.., m;
and taking the range value of the load cycle to which the nth damage value belongs as the nth limit.
Optionally, determining the sequence number of the value interval based on the value upper limit of the value interval includes:
acquiring all the value intervals of the load cycle;
setting serial number identifications for the value intervals according to the sequence of the value upper limits of the value intervals from small to large; wherein, the smaller the upper limit of the value is, the earlier the sequence number is.
Optionally, the setting a serial number identifier for the characteristic peak value based on the value of the maximum load value includes:
setting a serial number identifier for each characteristic peak value according to the sequence of the maximum load values from small to large; wherein, the smaller the value is, the earlier the sequence number is.
Optionally, the analyzing the load signal to obtain a plurality of characteristic peaks includes:
and amplifying the load signal to obtain a plurality of characteristic peak values.
Optionally, the method further includes:
and counting the cycle times of the load cycle in each value interval.
A load spectrum acquisition apparatus comprising:
the calculating unit is used for calculating to obtain a plurality of load cycles according to the collected load signals;
the analysis unit is used for analyzing the load signal to obtain a plurality of characteristic peak values; the characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period;
the identification unit is used for setting serial number identification for the characteristic peak value based on the value of the maximum load value;
the reconstruction unit is used for sequentially reconstructing the load cycle in the target value interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum; the target value interval is a value interval with the same serial number as that of the characteristic peak value; the value interval is determined based on the damage value of the load cycle; the sequence number of the value interval is determined based on the value upper limit of the value interval.
A computer-readable storage medium including a stored program, wherein the program executes the load spectrum acquisition method.
A load spectrum acquisition apparatus comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the load spectrum acquisition method.
According to the technical scheme, a plurality of load cycles are calculated according to the collected load signals. And analyzing the load signal to obtain a plurality of characteristic peak values, wherein the characteristic peak values are used for indicating the maximum load value of the load signal in a preset time period. And setting serial number identification for the characteristic peak value based on the value of the maximum load value. And sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum. The target value interval is a value interval with the same serial number as that of the characteristic peak value, the value interval is determined based on the damage value of the load cycle, and the serial number of the value interval is determined based on the value upper limit of the value interval. The fatigue damage of the test structure is gradually increased along with the time, and the arrangement sequence of each load cycle in the load sequence can accurately reflect the change of the load borne by the fatigue test body in the fatigue damage process, so that the damage values of each load cycle in the load sequence are accumulated and calculated according to the sequence from front to back of the sequence, the limit of the value interval of the range value is determined based on the damage values and the target value, the cycle times of the load cycle in each value interval are counted, the fatigue damage process of the truck body can be well reflected, and the classified load signals can provide favorable help for the simulation precision of the whole fatigue test. In addition, according to the sequence of the timestamps corresponding to the characteristic peak values from early to late, the load cycle in the target value taking interval is reconstructed in sequence, and the actual working condition action sequence of the load signal cannot be changed. Therefore, the load spectrum obtained by the method does not have a large difference with the actual working condition of the load signal, and the precision and the reliability of the fatigue test can be effectively guaranteed.
Drawings
In order to more clearly illustrate the embodiments of the present application 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 some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1a is a schematic diagram of a load spectrum obtaining method provided in an embodiment of the present application;
FIG. 1b is a schematic view of a load cycle provided by an embodiment of the present application;
FIG. 1c is a schematic illustration of a load cycle stage according to an embodiment of the present disclosure;
FIG. 1d is a schematic diagram of a load signal provided by an embodiment of the present application;
fig. 1e is a schematic diagram of a characteristic peak provided in an embodiment of the present application;
FIG. 1f is a schematic diagram of a feature peak classification provided in an embodiment of the present application;
FIG. 1g is a schematic view of a load spectrum provided by an embodiment of the present application;
fig. 2 is a schematic diagram of another load spectrum acquisition method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a load spectrum acquisition apparatus according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
The process is applied to a fatigue test system, specifically can be executed by computing equipment, and is used for reducing the difference between a load spectrum and the actual working condition, so that the precision and the reliability of the fatigue test can be effectively guaranteed.
As shown in fig. 1a, a schematic diagram of a load spectrum obtaining method provided in an embodiment of the present application, taking a fatigue test of a truck body as an example, includes the following steps:
s101: and carrying out rain flow counting on the load signals acquired in advance to obtain a plurality of load cycles.
The load signal is used for indicating a corresponding relation between a load value and a timestamp, the load cycle is used for indicating a change of the load value of the load signal in a preset time period, specifically, an expression mode of the load cycle is usually sint, and t represents the timestamp. In addition, the principle of rain flow counting method is:
1. the load process is regarded as a multilayer roof, rain drops are supposed to start to flow downwards along the maximum peak or valley, and if no roof is blocked, the rain drops are reversed and continue to flow to the end point.
2. Rain flow starting at the trough stops when it encounters a trough lower than it; rain flow from a peak, encountering a peak higher than it, stops.
3. The flow is stopped when the rain stream meets rain from the roof above and constitutes a load cycle.
4. And drawing each load cycle according to the starting point and the end point of the raindrop flow, taking out all the load cycles one by one, and recording the peak value and the valley value of the load cycles.
5. The horizontal length of each rain stream may be taken as the amplitude of the load cycle.
The main functions of the rain flow counting method are: the load signal after peak-to-valley detection and null amplitude removal is represented in a discrete form (i.e., load cycle). The time domain signal (the load signal is time domain data) of any length can be reduced into a rain flow matrix and a residue number, and can be restored into a continuous time domain signal.
That is, the load cycle is essentially: the loading and unloading process of the truck body is repeated in the positive direction and the negative direction, the stress characteristic and the deformation characteristic of the truck body in the reciprocating vibration are simulated, and in the process, the load value borne by the truck body is the load cycle. Specifically, in the coordinate of the load value and the time, the value curve of the load cycle sint is shown in fig. 1b (in fig. 1b, the ordinate represents the load value, and the abscissa represents the time stamp).
S102: the total damage value for all load cycles was calculated.
The specific implementation process for calculating the total damage value of all load cycles is common knowledge familiar to those skilled in the art, and will not be described herein again.
S103: and (4) dividing the total damage value into m damage values, and taking the value of any damage value as a target value.
Wherein m is a positive integer.
Specifically, taking the total damage value of 0.8 as an example, dividing the total damage value into 8 parts equally, the target value is 0.1.
S104: a range value for each load cycle is calculated.
Wherein the range value is the difference between the peak and the valley in the load cycle.
S105: and sequencing the load cycles according to the sequence of the range values from small to large to obtain a load sequence.
In practical application, the fatigue damage of the wagon body is gradually increased along with the time, and the change of the load borne by the fatigue test body in the fatigue damage process can be accurately reflected by the arrangement sequence of each load cycle in the load sequence.
S106: and accumulating and calculating the damage value of each load cycle in the load sequence according to the sequence of the sequence from front to back.
The number of the damage values is the same as the number of the load cycles, that is, a new damage value is obtained every time a load cycle is accumulated and calculated, and specifically, the damage value of the load cycle with the smallest accumulated and calculated sequence order for the first time is 0 by default.
S107: and taking the damage value with the value equal to the n-time target value as the nth damage value.
Wherein n is a positive integer, and n is 1, 2.
Specifically, assuming that the target value is 0.1 and m is 8, the damage value of 0.1 is taken as the 1 st damage value, the damage value of 0.2 is taken as the 2 nd damage value, the damage value of 0.3 is taken as the 3 rd damage value, the damage value of 0.4 is taken as the 4 th damage value, the damage value of 0.5 is taken as the 5 th damage value, the damage value of 0.6 is taken as the 6 th damage value, the damage value of 0.7 is taken as the 7 th damage value, and the damage value of 0.8 is taken as the 8 th damage value.
It should be noted that the above specific implementation process is only for illustration.
S108: the range value of the load cycle to which the nth damage value belongs is set as the nth limit.
Specifically, assuming that m is 8, the range value of the load cycle to which the 1 st damage value belongs is 0.4, 0.4 is the 1 st limit, the range value of the load cycle to which the 2 nd damage value belongs is 0.6, 0.6 is the 2 nd limit, the range value of the load cycle to which the 3 rd damage value belongs is 0.75, 0.75 is the 3 rd limit, the range value of the load cycle to which the 4 th damage value belongs is 0.82, 0.82 is the 4 th limit, the range value of the load cycle to which the 5 th damage value belongs is 0.9, 0.9 is the 5 th limit, the range value of the load cycle to which the 6 th damage value belongs is 1, 1 is the 6 th limit, the range value of the load cycle to which the 7 th damage value belongs is 1.2, 1.2 is the 7 th limit, and the range value of the load cycle to which the 8 th damage value belongs is 1.6, and 1.6 is the 8 th limit.
It should be noted that the above specific implementation process is only for illustration.
S109: and setting m value intervals for the range value according to the m limits, and setting serial number identifications for the m value intervals according to the sequence of the value upper limits of the value intervals from small to large.
Wherein, the smaller the upper limit of the value interval is, the earlier the serial number of the value interval is.
Specifically, assume that m takes on the value of 8, the 1 st limit is 0.4, the 2 nd limit is 0.6, the 3 rd limit is 0.75, the 4 th limit is 0.82, the 5 th limit is 0.9, the 6 th limit is 1, the 7 th limit is 1.2, and the 8 th limit is 1.6. According to 8 limits, 8 value intervals are set for the range value, which are [0, 0.4], [0.4, 0.6], [0.6, 0.75], [0.75, 0.82], [0.82, 0.9], [0.9, 1], [1, 1.2], and [1.2, 1.6], respectively. According to the sequence from small upper limit to large upper limit of each value section, a number 1 is set for the value section [0, 0.4], a number 2 is set for the value section [0.4, 0.6], a number 3 is set for the value section [0.6, 0.75], a number 4 is set for the value section [0.75, 0.82], a number 5 is set for the value section [0.82, 0.9], a number 6 is set for the value section [0.9, 1], a number 7 is set for the value section [1, 1.2], and a number 8 is set for the value section [1.2, 1.6 ].
It should be noted that the above specific implementation process is only for illustration. In the present embodiment, the unit of measurement of each of the load value, damage value, and range value is Kilonewton (KN).
S110: and counting the circulation times of the load circulation in each value interval.
The classification of the load cycle (load signal) is realized based on the cycle number of the load cycle in the m value intervals, the fatigue damage process of the truck body can be well reflected, and the classified load signal can provide favorable help for the simulation precision of the fatigue test.
Specifically, the number of cycles of the load cycle in each value range is shown in fig. 1c, taking [0, 0.4], [0.4, 0.6], [0.6, 0.75], [0.75, 0.82], [0.82, 0.9], [0.9, 1], [1, 1.2], and [1.2, 1.6] as examples.
S111: and amplifying the load signals acquired in advance to obtain m characteristic peak values.
The characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period.
It should be noted that the specific implementation process of amplifying the pre-collected load signal is common knowledge familiar to those skilled in the art, and is not described herein again. Of course, the magnification factor used in the amplification process can be set by a technician according to the actual situation.
Specifically, the load signal acquired in advance is shown in fig. 1d, and the characteristic peak obtained after amplification processing is shown in fig. 1 e.
S112: and setting serial number identifications for each characteristic peak value according to the sequence of the values of the maximum load values from small to large.
Wherein, the smaller the value of the maximum load value is, the more ahead the serial number of the characteristic peak value is.
Specifically, taking the characteristic peak obtained after the amplification processing shown in fig. 1e as an example, according to the comparison result, the specific result of setting serial numbers for the m characteristic peaks is shown in fig. 1f (the first-stage representative serial number 1, the second-stage representative serial number 2, the third-stage representative serial number 3, the fourth-stage representative serial number 4, the fifth-stage representative serial number 5, the sixth-stage representative serial number 6, the seventh-stage representative serial number 7, and the 8-stage representative serial number 8).
S113: and sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum.
And the target value interval is a value interval with the same serial number as that of the characteristic peak value.
It should be noted that, since the timestamps corresponding to the characteristic peaks are in the order from early to late, which is substantially the actual operating condition action order of the load signal, for this reason, the load cycle in the target value interval is reconstructed in sequence according to the order from early to late of the timestamps corresponding to the characteristic peaks, and the actual operating condition action order of the load cycle (i.e., the load signal) is not changed.
Specifically, taking the load cycle shown in fig. 1c and the characteristic peak shown in fig. 1f as examples, the load cycles in the target value interval are sequentially reconstructed in the order of the timestamps corresponding to the characteristic peak from early to late, and the obtained load spectrum is shown in fig. 1 g.
In summary, because the fatigue damage of the test structure is gradually increased along with the time, and the arrangement sequence of each load cycle in the load sequence can accurately reflect the change of the load suffered by the fatigue test body in the fatigue damage process, the damage value of each load cycle in the load sequence is accumulated and calculated according to the sequence from front to back of the sequence, the limit of the value interval of the range value is determined based on the damage value and the target value, the cycle number of the load cycle in each value interval is counted, the fatigue damage process of the truck body can be well reflected, and the classified load signal can provide favorable help for the simulation precision of the whole fatigue test. In addition, according to the sequence of the timestamps corresponding to the characteristic peak values from early to late, the load cycle in the target value taking interval is reconstructed in sequence, and the actual working condition action sequence of the load signal cannot be changed. Therefore, the load spectrum obtained by the process of the embodiment does not have a large difference with the actual working condition of the load signal, and the precision and the reliability of the fatigue test can be effectively ensured.
It should be noted that, in the above embodiment, reference to S101 is an optional implementation manner of the load spectrum acquisition method described in this application. In addition, S110 mentioned in the above embodiments is also an optional implementation manner of the load spectrum obtaining method described in this application. For this reason, the flow mentioned in the above embodiment can be summarized as the method shown in fig. 2.
As shown in fig. 2, a schematic diagram of another load spectrum obtaining method provided in the embodiment of the present application includes the following steps:
s201: and calculating to obtain a plurality of load cycles according to the collected load signals.
The specific execution process and implementation principle of S201 are consistent with the specific execution process and implementation principle of S101, and are not described herein again.
S202: and analyzing the load signal to obtain a plurality of characteristic peaks.
The characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period.
S203: and setting serial number identification for the characteristic peak value based on the value of the maximum load value.
The specific implementation process and implementation principle of S203 are consistent with the specific implementation process and implementation principle of S112, and are not described herein again.
S204: and sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum.
The target value interval is a value interval with the same serial number as that of the characteristic peak value, the value interval is determined based on the damage value of the load cycle, and the serial number of the value interval is determined based on the value upper limit of the value interval.
In summary, because the fatigue damage of the test structure is gradually increased along with the time, and the arrangement sequence of each load cycle in the load sequence can accurately reflect the change of the load suffered by the fatigue test body in the fatigue damage process, the damage value of each load cycle in the load sequence is accumulated and calculated according to the sequence from front to back of the sequence, the limit of the value interval of the range value is determined based on the damage value and the target value, the cycle number of the load cycle in each value interval is counted, the fatigue damage process of the test structure can be better reflected, and the classified load signal can provide favorable help for the simulation precision of the whole fatigue test. In addition, according to the sequence of the timestamps corresponding to the characteristic peak values from early to late, the load cycle in the target value taking interval is reconstructed in sequence, and the actual working condition action sequence of the load signal cannot be changed. Therefore, the load spectrum obtained by the process of the embodiment does not have a large difference with the actual working condition of the load signal, and the precision and the reliability of the fatigue test can be effectively ensured.
Corresponding to the load spectrum obtaining method provided by the embodiment of the application, the application also provides a load spectrum obtaining device.
As shown in fig. 3, a schematic structural diagram of a load spectrum obtaining apparatus provided in an embodiment of the present application includes:
and the calculating unit 100 is configured to calculate a plurality of load cycles according to the acquired load signals.
The analyzing unit 200 is configured to analyze the load signal to obtain a plurality of characteristic peak values, where the characteristic peak values are used to indicate a maximum load value of the load signal within a preset time period.
The specific implementation process of the analyzing unit 200 for analyzing the load signal to obtain the multiple characteristic peaks includes: and amplifying the load signal to obtain a plurality of characteristic peaks.
The counting unit 300 is configured to count the number of cycles of the load cycle in each value interval.
And the identification unit 400 is configured to set a serial number identifier for the characteristic peak value based on the value of the maximum load value.
And a reconstructing unit 500, configured to sequentially reconstruct the load cycle in the target value-taking interval according to the sequence of the timestamps corresponding to the characteristic peak from early to late, so as to obtain the load spectrum, where the target value-taking interval is a value-taking interval with a sequence number that is the same as the sequence number of the characteristic peak, and the value-taking interval is determined based on a damage value of the load cycle. The sequence number of the value interval is determined based on the value upper limit of the value interval.
The specific implementation process of the reconfiguration unit 500 for determining the value interval based on the damage value of the load cycle includes: the total damage value of all load cycles is divided into m damage values, m is a positive integer, the value of any damage value is used as a target value, the range value of each load cycle is calculated, the load cycles are sequenced according to the sequence from small to large of the range values to obtain a load sequence, the damage values of the load cycles in the load sequence are accumulated and calculated according to the sequence from front to back of the sequence, m limits are determined based on the comparison result of the target value and the damage values of the load cycles, and m value intervals are set for the range values according to the m limits.
The reconstruction unit 500 is configured to determine, based on the comparison result between the target value and the damage value of each load cycle, a specific implementation procedure of the m limits, including: and taking a damage value with the value equal to the n-fold target value as an nth damage value, wherein n is a positive integer and n is 1, 2.
The specific implementation process of the reconfiguration unit 500 for determining the value interval based on the value upper limit of the value interval includes: and acquiring all value intervals of the load cycle, and setting serial number identifications for the value intervals according to the sequence of the value upper limit of the value intervals from small to large, wherein the smaller the value upper limit is, the earlier the serial number is.
The specific implementation process of the reconfiguration unit 500 for setting the serial number identifier for the characteristic peak based on the value of the maximum load value includes: and setting a serial number identifier for each characteristic peak value according to the sequence of the values of the maximum load values from small to large, wherein the serial number is earlier the smaller the value is.
In summary, because the fatigue damage of the test structure is gradually increased along with the time, and the arrangement sequence of each load cycle in the load sequence can accurately reflect the change of the load suffered by the fatigue test body in the fatigue damage process, the damage value of each load cycle in the load sequence is accumulated and calculated according to the sequence from front to back of the sequence, the limit of the value interval of the range value is determined based on the damage value and the target value, the cycle number of the load cycle in each value interval is counted, the fatigue damage process of the test structure can be better reflected, and the classified load signal can provide favorable help for the simulation precision of the whole fatigue test. In addition, according to the sequence of the timestamps corresponding to the characteristic peak values from early to late, the load cycle in the target value taking interval is reconstructed in sequence, and the actual working condition action sequence of the load signal cannot be changed. Therefore, the load spectrum obtained by the process of the embodiment does not have a large difference with the actual working condition of the load signal, and the precision and the reliability of the fatigue test can be effectively ensured.
The present application also provides a computer-readable storage medium including a stored program, wherein the program performs the load spectrum acquisition method provided by the present application.
The present application also provides a load spectrum acquisition apparatus, including: a processor, a memory, and a bus. The processor is connected with the memory through a bus, the memory is used for storing programs, and the processor is used for running the programs, wherein when the programs run, the load spectrum acquisition method provided by the application is executed, and the method comprises the following steps:
calculating to obtain a plurality of load cycles according to the collected load signals;
analyzing the load signal to obtain a plurality of characteristic peak values; the characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period;
setting a serial number identifier for the characteristic peak value based on the value of the maximum load value;
sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum; the target value interval is a value interval with the same serial number as that of the characteristic peak value; the value interval is determined based on the damage value of the load cycle; the sequence number of the value interval is determined based on the value upper limit of the value interval.
Optionally, the determining the value interval based on the damage value of the load cycle includes:
dividing the total damage value of all the load cycles into m damage values, wherein m is a positive integer;
taking any one of the damage values as a target value;
calculating a range value for each of the load cycles;
sequencing the load cycles according to the sequence of the range values from small to large to obtain a load sequence;
accumulating and calculating damage values of all load cycles in the load sequence according to the sequence of the sequence from front to back;
determining m limits based on the comparison of the target value and the damage value for each of the load cycles;
and setting m value intervals for the range value according to the m limits.
Optionally, the determining m limits based on the comparison result between the target value and the damage value of each of the load cycles includes:
taking a damage value with the value equal to n times of the target value as an nth damage value; n is a positive integer, and n is 1, 2.., m;
and taking the range value of the load cycle to which the nth damage value belongs as the nth limit.
Optionally, determining the sequence number of the value interval based on the value upper limit of the value interval includes:
acquiring all the value intervals of the load cycle;
setting serial number identifications for the value intervals according to the sequence of the value upper limits of the value intervals from small to large; wherein, the smaller the upper limit of the value is, the earlier the sequence number is.
Optionally, the setting a serial number identifier for the characteristic peak value based on the value of the maximum load value includes:
setting a serial number identifier for each characteristic peak value according to the sequence of the maximum load values from small to large; wherein, the smaller the value is, the earlier the sequence number is.
Optionally, the analyzing the load signal to obtain a plurality of characteristic peaks includes:
and amplifying the load signal to obtain a plurality of characteristic peak values.
Optionally, the method further includes:
and counting the cycle times of the load cycle in each value interval.
The functions described in the method of the embodiment of the present application, if implemented in the form of software functional units and sold or used as independent products, may be stored in a storage medium readable by a computing device. Based on such understanding, part of the contribution to the prior art of the embodiments of the present application or part of the technical solution may be embodied in the form of a software product stored in a storage medium and including several instructions for causing a computing device (which may be a personal computer, a server, a mobile computing device or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or 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 application. 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 application. Thus, the present application 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 (10)
1. A load spectrum acquisition method, comprising:
calculating to obtain a plurality of load cycles according to the collected load signals;
analyzing the load signal to obtain a plurality of characteristic peak values; the characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period;
setting a serial number identifier for the characteristic peak value based on the value of the maximum load value;
sequentially reconstructing the load cycle in the target value taking interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum; the target value interval is a value interval with the same serial number as that of the characteristic peak value; the value interval is determined based on the damage value of the load cycle; the sequence number of the value interval is determined based on the value upper limit of the value interval.
2. The method of claim 1, wherein the value interval is determined based on a damage value of the duty cycle, comprising:
dividing the total damage value of all the load cycles into m damage values, wherein m is a positive integer;
taking any one of the damage values as a target value;
calculating a range value for each of the load cycles;
sequencing the load cycles according to the sequence of the range values from small to large to obtain a load sequence;
accumulating and calculating damage values of all load cycles in the load sequence according to the sequence of the sequence from front to back;
determining m limits based on the comparison of the target value and the damage value for each of the load cycles;
and setting m value intervals for the range value according to the m limits.
3. The method of claim 2, wherein said determining m limits based on the comparison of the target value and the damage value for each of the load cycles comprises:
taking a damage value with the value equal to n times of the target value as an nth damage value; n is a positive integer, and n is 1, 2.., m;
and taking the range value of the load cycle to which the nth damage value belongs as the nth limit.
4. The method of claim 1, wherein the determining the sequence number of the value interval based on the value upper limit of the value interval comprises:
acquiring all the value intervals of the load cycle;
setting serial number identifications for the value intervals according to the sequence of the value upper limits of the value intervals from small to large; wherein, the smaller the upper limit of the value is, the earlier the sequence number is.
5. The method of claim 1, wherein setting a sequence number identifier for the characteristic peak based on the value of the maximum load value comprises:
setting a serial number identifier for each characteristic peak value according to the sequence of the maximum load values from small to large; wherein, the smaller the value is, the earlier the sequence number is.
6. The method of claim 1, wherein the analyzing the payload signal to obtain a plurality of characteristic peaks comprises:
and amplifying the load signal to obtain a plurality of characteristic peak values.
7. The method of claim 1, further comprising:
and counting the cycle times of the load cycle in each value interval.
8. A load spectrum acquisition apparatus, characterized by comprising:
the calculating unit is used for calculating to obtain a plurality of load cycles according to the collected load signals;
the analysis unit is used for analyzing the load signal to obtain a plurality of characteristic peak values; the characteristic peak value is used for indicating the maximum load value of the load signal in a preset time period;
the identification unit is used for setting serial number identification for the characteristic peak value based on the value of the maximum load value;
the reconstruction unit is used for sequentially reconstructing the load cycle in the target value interval according to the sequence of the timestamps corresponding to the characteristic peak values from early to late to obtain a load spectrum; the target value interval is a value interval with the same serial number as that of the characteristic peak value; the value interval is determined based on the damage value of the load cycle; the sequence number of the value interval is determined based on the value upper limit of the value interval.
9. A computer-readable storage medium characterized by comprising a stored program, wherein the program executes the load spectrum acquisition method according to any one of claims 1 to 7.
10. A load spectrum acquisition apparatus, characterized by comprising: a processor, a memory, and a bus; the processor and the memory are connected through the bus;
the memory is used for storing a program, and the processor is used for executing the program, wherein the program executes the load spectrum acquisition method according to any one of claims 1 to 7.
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