CN115291579B

CN115291579B - Self-setting optimization control system of inoculant production equipment

Info

Publication number: CN115291579B
Application number: CN202211205201.6A
Authority: CN
Inventors: 冉小春
Original assignee: Nantong Qijin Intelligent Technology Co ltd
Current assignee: Nantong Qijin Intelligent Technology Co ltd
Priority date: 2022-09-30
Filing date: 2022-09-30
Publication date: 2022-12-23
Anticipated expiration: 2042-09-30
Also published as: CN115291579A

Abstract

The invention relates to the technical field of control systems, in particular to a self-tuning optimization control system of inoculant production equipment, which comprises a data acquisition module and a control module, wherein the two modules are matched with each other to realize the following steps: determining the current stability degree of inoculant production equipment to be detected; acquiring a reference vibration wave and a load intensity level corresponding to the reference vibration wave; determining a difference distance corresponding to the reference vibration wave, a target reference vibration wave, an optimized duty ratio and an optimized rotating speed; and adjusting the rotating speed of the rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize the optimized control of the inoculant production equipment to be detected. The invention can realize the optimized control of inoculant production equipment to be detected, and effectively improves the grinding efficiency and the electric energy utilization rate of the inoculant production equipment.

Description

Self-setting optimization control system of inoculant production equipment

Technical Field

The invention relates to the technical field of control systems, in particular to a self-setting optimization control system of inoculant production equipment.

Background

The inoculant is a substance which can promote graphitization, reduce chilling tendency, improve graphite morphology and distribution condition, increase eutectic cell number and refine matrix structure, and is mainly used in cast iron technology. It works well within a short time (e.g., 5 to 8 minutes) after inoculation. In the production process of the inoculant, the inoculant is usually required to be ground into inoculant particles meeting the requirements through inoculant production equipment. The control of inoculant production equipment is of vital importance. At present, when inoculant production equipment is controlled, the following modes are generally adopted: the various adjustable parameters (such as power and rotation speed) of the inoculant production facility are adjusted to the values required by the rating respectively to achieve control of the inoculant production facility.

However, when the above-described manner is adopted, there are often technical problems as follows:

firstly, because the single volume or the number of the inoculants put into the inoculant production equipment at different moments are different, and the corresponding optimal rotating speeds of the inoculants with different volumes or different numbers of the inoculants are different, the inoculants are ground at a rated rotating speed, which often causes the low grinding efficiency of the inoculant production equipment;

secondly, when inoculant production equipment adopts rated power to grind inoculants with different volumes or different amounts, the utilization rate of electric energy is often low.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

The invention provides a self-setting optimization control system of inoculant production equipment, which solves the technical problems of low grinding efficiency and low electric energy utilization rate of the inoculant production equipment mentioned in the background technology.

The invention provides a self-setting optimization control system of inoculant production equipment, which comprises a data acquisition module and a control module, wherein the data acquisition module is used for acquiring information to be detected and a plurality of target duty ratios in the working process of the inoculant production equipment to be detected and sending the information to be detected and the target duty ratios to the control module, and the information to be detected comprises: the control module is used for receiving the information to be detected and a plurality of target duty ratios sent by the data acquisition module and realizing the following steps:

determining the current stability degree of the inoculant production equipment to be detected according to a pre-acquired normal power factor, the current power factor and the eccentricity of the current rotating shaft;

when the current stability degree is greater than or equal to a preset stability degree threshold value, acquiring a plurality of reference vibration waves and a load intensity level corresponding to each reference vibration wave in the plurality of reference vibration waves;

determining a difference distance corresponding to the reference vibration wave according to the current vibration wave and each reference vibration wave in the plurality of reference vibration waves;

screening target reference vibration waves from the plurality of reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration waves in the plurality of reference vibration waves;

determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios, wherein the optimized duty ratio is the optimized duty ratio of a control signal for controlling the rotating speed of a rotating shaft of the inoculant production equipment to be detected at the current time;

determining the optimized rotating speed of a rotating shaft of the inoculant production equipment to be detected according to the optimized duty ratio;

and adjusting the rotating speed of the rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize the optimized control of the inoculant production equipment to be detected.

Further, the formula for determining the current stability degree of the inoculant production equipment to be detected is as follows:

wherein the content of the first and second substances,His the current stability of the inoculant production plant to be tested,eis a constant of nature and is,

is the eccentricity of the current front rotating shaft,

is to find the function of the absolute value,

is the current power factor of the power converter,

is the normal power factor.

Further, the acquiring a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves includes:

acquiring a vibration wave and a power factor set in the working process of each reference inoculant production device in a plurality of reference inoculant production devices to obtain a plurality of vibration waves and a plurality of power factor sets, wherein each preset time period is passed, the power factor is acquired once, and the power factor in the power factor sets is the power factor of the reference inoculant production device which generates the vibration waves and is acquired in the time period corresponding to the vibration waves;

dividing the plurality of vibration waves to obtain a plurality of target divided vibration waves;

determining a target difference distance between any two target segmentation vibration waves according to any two target segmentation vibration waves in the plurality of target segmentation vibration waves to obtain a plurality of target difference distances;

clustering the target segmentation vibration waves according to the target difference distances to obtain target categories;

for each target split vibration wave in the plurality of target classes, determining a reference power factor corresponding to the target split vibration wave according to a power factor corresponding to the target split vibration wave, wherein the power factor corresponding to the target split vibration wave is the power factor of a reference inoculant producing device producing the target split vibration wave, acquired within a time period corresponding to the target split vibration wave;

determining a mean value of reference power factors corresponding to the target segmentation vibration waves in each of the plurality of target classes as a target power factor mean value corresponding to the target class;

sorting the target categories according to the target power factor mean value corresponding to each target category in the target categories to obtain a target category sequence;

dividing the vibration waves according to the target in each target category in the target category sequence, and determining the reference vibration waves corresponding to the target categories to obtain a plurality of reference vibration waves;

and determining the load intensity level corresponding to the reference vibration wave corresponding to the target category according to the position of each target category in the target category sequence.

Further, the dividing the plurality of vibration waves to obtain a plurality of target divided vibration waves includes:

when the time length corresponding to the vibration wave in the plurality of vibration waves is longer than the preset time length of a preset multiple, the preset time length of the preset multiple is used as a segmentation step length, and the vibration wave is segmented to obtain a plurality of segmented vibration waves;

determining all the obtained divided vibration waves and vibration waves which do not need to be divided into temporary vibration waves to obtain a plurality of temporary vibration waves;

and removing the temporary vibration waves with the corresponding time length less than the preset elimination time length from the plurality of temporary vibration waves to obtain a plurality of target segmentation vibration waves.

Further, the clustering the plurality of target segmentation vibration waves according to the plurality of target difference distances to obtain a plurality of target categories includes:

clustering the target segmentation vibration waves through a noise-based density clustering algorithm according to the target difference distances to obtain a plurality of categories and a noise point set, wherein noise points in the noise point set are isolated target segmentation vibration waves;

determining a category of the plurality of categories as a target category;

acquiring a rotating shaft eccentricity set in the working process of each reference inoculant production device in a plurality of reference inoculant production devices, wherein the rotating shaft eccentricity is acquired once after a preset time period, and the rotating shaft eccentricity in the rotating shaft eccentricity set is the rotating shaft eccentricity of the reference inoculant production device generating the vibration waves acquired within the time period corresponding to the vibration waves;

determining the noise stability degree corresponding to the noise point according to the normal power factor, the rotating shaft eccentricity and the power factor corresponding to each noise point in the noise point set;

when the noise stability degree corresponding to the noise points in the noise point set is smaller than the stability degree threshold value, removing the noise points;

and taking the noise points in the removed noise point set as a target class.

Further, the formula for determining the noise stability corresponding to the noise point is as follows:

wherein the content of the first and second substances,his the degree of noise stability corresponding to the noise point,eis a natural constant which is a function of the time,nis the number of the eccentricity of the rotating shaft and the power factor corresponding to the noise point,

is the first in the eccentricity of the rotating shaft corresponding to the noise pointiThe eccentricity of each rotating shaft is measured by the measuring device,

is to find the function of the absolute value,

is the first in the power factor corresponding to the noise pointiThe power factor of the power supply is calculated,

is the normal power factor.

Further, the determining, for each target segmentation vibration wave in the multiple target categories, a reference power factor corresponding to the target segmentation vibration wave according to the power factor corresponding to the target segmentation vibration wave includes:

when the number of the power factors corresponding to the target segmentation vibration wave is larger than 1, determining the average value of the power factors corresponding to the target segmentation vibration wave as a reference power factor corresponding to the target segmentation vibration wave;

when the number of the power factors corresponding to the target split vibration wave is equal to 1, acquiring a power factor closest to the target split vibration wave as a reference power factor, and determining the mean value of the power factor corresponding to the target split vibration wave and the reference power factor as the reference power factor corresponding to the target split vibration wave.

Further, the determining a reference vibration wave corresponding to each target category according to the target segmentation vibration wave in each target category in the target category sequence includes:

determining a class independence degree corresponding to each target segmentation vibration wave in the target class according to the target segmentation vibration waves in the target class;

and determining the target segmentation vibration wave corresponding to the minimum class independence degree in the class independence degrees corresponding to the target segmentation vibration waves in the target classes as the reference vibration wave corresponding to the target classes.

Further, the formula for determining the class independence degree corresponding to each target segmentation vibration wave in the target class is as follows:

wherein, the first and the second end of the pipe are connected with each other,Kis the class independence degree corresponding to the target segmentation vibration wave,Tis the number of object-segmented vibration waves in the object class,

the method is to calculate the distance function of the form similarity,

is the first in the object classtThe individual target splits the vibration wave and,Vis the target-segmented vibration wave.

Further, the screening a target reference vibration wave from the plurality of reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration wave in the plurality of reference vibration waves includes:

screening out a corresponding reference vibration wave with the minimum difference distance from the plurality of reference vibration waves to serve as a temporary reference vibration wave; when no higher primary reference vibration wave exists in the plurality of reference vibration waves or the difference distance corresponding to the higher primary reference vibration wave is not smaller than a preset difference threshold value, determining the temporary reference vibration wave as a target reference vibration wave, wherein the higher primary reference vibration wave is a reference vibration wave corresponding to a load intensity level one level higher than the load intensity level corresponding to the temporary reference vibration wave;

when a higher-level reference vibration wave exists in the plurality of reference vibration waves and the difference distance corresponding to the higher-level reference vibration wave is smaller than a difference threshold value, updating the temporary reference vibration wave to the higher-level reference vibration wave, when the temporary reference vibration wave is updated, the higher-level reference vibration wave still exists in the plurality of reference vibration waves and the difference distance corresponding to the higher-level reference vibration wave is smaller than the difference threshold value, repeating the steps until the higher-level reference vibration wave does not exist in the plurality of reference vibration waves or the difference distance corresponding to the higher-level reference vibration wave is not smaller than the difference threshold value, and determining the finally obtained temporary reference vibration wave as the target reference vibration wave.

The invention has the following beneficial effects:

the self-setting optimization control system of the inoculant production equipment can realize optimization control of the inoculant production equipment to be detected, and effectively improves the grinding efficiency and the electric energy utilization rate of the inoculant production equipment. A self-tuning optimization control system of inoculant production equipment can comprise a data acquisition module and a control module. The data acquisition module is used for acquiring the information to be detected and the target duty ratios in the working process of the inoculant production equipment to be detected and sending the information to be detected and the target duty ratios to the control module. The information to be detected comprises: current vibration wave, current power factor, and current front hinge eccentricity. In practical situations, the current vibration waves generated by the inoculant production equipment to be detected in different working states are different, so that the current vibration waves can be acquired to facilitate the subsequent determination of the working state of the inoculant production equipment to be detected at the current moment. The current power factor of the inoculant production equipment to be detected can usually represent the utilization rate of the electric energy at the current moment, so that the utilization rate of the electric energy at the current moment can be determined in real time by obtaining the current power factor, the subsequent optimization of the utilization rate of the electric energy is facilitated, and the waste of the electric energy can be reduced. Because the inoculant production equipment to be detected often breaks down when the eccentricity of the front rotating shaft is large, whether the inoculant production equipment to be detected breaks down or not can be judged according to the eccentricity of the front rotating shaft. The rotating speed of the rotating shaft of the inoculant production equipment to be detected can be adjusted by adjusting the target duty ratios, so that a plurality of target duty ratios are obtained, and the rotating speed of the rotating shaft of the inoculant production equipment to be detected can be optimized by optimizing the plurality of target duty ratios conveniently in the follow-up process. The control module is used for receiving the information to be detected and the target duty ratios sent by the data acquisition module, and realizing the following steps: firstly, determining the current stability degree of the inoculant production equipment to be detected according to a pre-acquired normal power factor, the current power factor and the current rotating shaft eccentricity. In practical situations, when the difference between the current power factor and the normal power factor is larger or when the eccentricity of the front rotary shaft is larger, the inoculant production equipment to be detected is more unstable at the current moment and is more likely to be out of order. Therefore, by determining the current stability degree in consideration of the normal power factor, the above current power factor, and the above current front hinge eccentricity, the accuracy of determining the current stability degree can be improved. Then, when the current stability degree is greater than or equal to a preset stability degree threshold value, a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves are obtained. In practical situations, when the current stability degree is smaller than the stability degree threshold, the inoculant production equipment to be detected often breaks down, the inoculant production equipment to be detected often needs to be controlled to stop working, the rotating speed of the rotating shaft of the inoculant production equipment to be detected often needs to be adjusted to 0, and the inoculant production equipment to be detected is maintained. The subsequent steps are not needed to realize the adjustment of the rotating speed of the rotating shaft of the inoculant production equipment to be detected. Secondly, since each of the plurality of reference vibration waves may be a vibration wave under different operating conditions, different reference vibration waves may often represent different operating conditions. And the load intensity level corresponding to the reference vibration wave is obtained, and the load intensity levels corresponding to different working states can be obtained. The current vibration wave and the reference vibration wave can be conveniently compared subsequently, and the working state corresponding to the current moment of the inoculant production equipment to be detected can be determined. Next, a difference distance corresponding to the reference vibration wave is determined according to the current vibration wave and each of the plurality of reference vibration waves. And then, screening out the target reference vibration wave from the plurality of reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration waves in the plurality of reference vibration waves. In practical cases, the smaller the difference distance corresponding to the reference vibration wave, the more similar the current vibration wave and the reference vibration wave tend to be, and therefore, the accuracy of determining the target reference vibration wave can be improved. And then, determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios, wherein the optimized duty ratio is the optimized duty ratio of a control signal for controlling the rotating speed of the rotating shaft of the inoculant production equipment to be detected at the current moment. The difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios are comprehensively considered, the optimized duty ratio is determined, and the accuracy of determining the optimized duty ratio can be improved. And then, determining the optimized rotating speed of the rotating shaft of the inoculant production equipment to be detected according to the optimized duty ratio. The rotating speed of the rotating shaft of the inoculant production equipment to be detected is controlled by the target duty ratio, so that the target duty ratio is optimized, namely the rotating speed of the rotating shaft of the inoculant production equipment to be detected is optimized, and the accuracy of determining the optimized rotating speed is improved. And finally, adjusting the rotating speed of the rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize the optimized control of the inoculant production equipment to be detected. Therefore, the invention can realize the optimized control of the inoculant production equipment to be detected, and effectively improve the grinding efficiency and the electric energy utilization rate of the inoculant production equipment.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of 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 invention, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a schematic block diagram of some embodiments of a self-tuning optimization control system for an inoculant production facility according to the present invention;

FIG. 2 is a flow diagram of some embodiments of steps implemented by a control module according to the present invention.

Detailed Description

To further explain the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description of the embodiments, structures, features and effects of the technical solutions according to the present invention will be given with reference to the accompanying drawings and preferred embodiments. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

The invention provides a self-tuning optimization control system of inoculant production equipment, which comprises a data acquisition module and a control module, wherein the data acquisition module is used for acquiring information to be detected and a plurality of target duty ratios in the working process of the inoculant production equipment to be detected and sending the information to be detected and the plurality of target duty ratios to the control module, and the information to be detected comprises: the control module is used for receiving the information to be detected and a plurality of target duty ratios sent by the data acquisition module and realizing the following steps:

determining the current stability degree of the inoculant production equipment to be detected according to a pre-acquired normal power factor, the current power factor and the current rotating shaft eccentricity;

determining a difference distance corresponding to the reference vibration wave according to the current vibration wave and each of the plurality of reference vibration waves;

screening a target reference vibration wave from the plurality of reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration waves in the plurality of reference vibration waves;

determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios, wherein the optimized duty ratio is the optimized duty ratio of a control signal for controlling the rotating speed of the rotating shaft of the inoculant production equipment to be detected at the current time;

determining the optimized rotating speed of the rotating shaft of the inoculant production equipment to be detected according to the optimized duty ratio;

Referring to fig. 1, a schematic structural diagram of some embodiments of a self-tuning optimization control system for an inoculant production facility according to the present invention is shown. The self-tuning optimization control system of the inoculant production facility can comprise a data acquisition module 101 and a control module 102. The data acquisition module 101 may be configured to acquire information to be detected and a plurality of target duty ratios during operation of inoculant production equipment to be detected, and send the information to be detected and the plurality of target duty ratios to the control module 102. The information to be detected may include: current vibration wave, current power factor, and current front spindle eccentricity. The control module 102 may be configured to receive the information to be detected and the target duty ratios sent by the data obtaining module 101.

The inoculant production equipment to be detected can be equipment for crushing inoculant so that the size of the crushed inoculant meets production conditions. For example, the inoculant producing apparatus to be tested may be a kneading inoculant breaker. The current vibration wave can be a vibration wave on a main shaft of the inoculant production equipment to be detected from a preset historical moment to the current moment. The historical time may be a time prior to the current time. The target duty ratio of the plurality of target duty ratios may be a duty ratio of a control signal for controlling the rotation speed of the rotating shaft of the inoculant production device to be detected from a historical time to a current time. The current power factor may be the power factor of the inoculant producing apparatus to be tested at the current time. When the front rotating shaft eccentricity is the eccentricity of the rotating shaft of the inoculant production equipment to be detected at the current moment. The rotating shaft can be the main shaft of the inoculant production equipment to be detected. The control signal may be a PWM (Pulse Width Modulation) waveform signal.

As an example, the vibration wave on the main shaft of the inoculant production equipment to be detected can be obtained by an electromagnetic wave detector as the initial vibration wave. The initial vibration wave can be filtered through a band-pass filter, and the current vibration wave is obtained. The current power factor may be obtained by a power meter. The eccentricity of the current front rotating shaft can be obtained through an electromagnetic sensor.

Referring to FIG. 2, a flow diagram of some embodiments of the steps implemented by the control module in accordance with the present invention is shown. The control module may implement the steps of:

step 201, determining the current stability degree of the inoculant production equipment to be detected according to the pre-acquired normal power factor, the current power factor and the current front rotating shaft eccentricity.

In some embodiments, the current degree of stability of said inoculant producing apparatus to be tested can be determined based on a previously obtained normal power factor, said current power factor and said current spindle eccentricity.

Wherein the normal power factor can be the power factor of the inoculant production equipment to be detected in normal operation. For example, the normal power factor may be the power rating of the inoculant producing facility to be tested. The current stability level may be the stability level of the inoculant producing apparatus to be tested at the current time.

As an example, the formula for determining the current stability of the inoculant production facility may be:

wherein the content of the first and second substances,His the current stability of the inoculant production equipment to be detected.eIs a natural constant.

Is the above-mentioned current front pivot eccentricity.

Is an absolute value function.

Is the current power factor as described above.

Is the above-mentioned normal power factor.

The lower the current stability degree is, the larger the eccentricity of the current front rotating shaft is or the larger the absolute value of the difference value between the current power factor and the normal power factor is. In practical situations, the larger the eccentricity of the current rotary shaft or the larger the absolute value of the difference between the current power factor and the normal power factor, the greater the possibility that the inoculant production equipment to be detected fails at the current moment.

Step 202, when the current stability degree is greater than or equal to a preset stability degree threshold value, acquiring a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves.

In some embodiments, when the current stability degree is greater than or equal to a preset stability degree threshold, a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves may be obtained.

Wherein, the threshold value of the stability degree can be the minimum stability degree when the inoculant production equipment to be detected works normally. For example, the stability threshold may be 0.6. The reference shock wave of the plurality of reference shock waves may be a shock wave on a main axis of a reference inoculant producing apparatus. The reference vibration wave of the plurality of reference vibration waves can correspond to the working state of the reference inoculant production equipment one by one. That is, each of the plurality of reference oscillation waves may be an oscillation wave on a main axis of the reference inoculant producing device under different operating conditions. The reference inoculant producing device can be a device for crushing inoculant. The specification and model of the reference inoculant production equipment can be the same as those of the inoculant production equipment to be detected. The operating state of the reference inoculant producing device can be the state when the reference inoculant producing device rotates the rotating shaft at a preset rotating speed. The working state of the reference inoculant producing device can correspond to the rotating speed of the rotating shaft of the reference inoculant producing device one by one.

The load intensity level corresponding to the reference shock wave may be a level of power load intensity of the reference inoculant producing device when the reference inoculant producing device generates the reference shock wave. The higher the power factor produced by the reference inoculant producing apparatus, the lower the level of load intensity corresponding to the reference shock wave produced by the reference inoculant producing apparatus. For example, the level of load intensity corresponding to the reference shock wave generated by the reference inoculant producing device can be a first level of load intensity when the reference inoculant producing device is operating at rated power.

As an example, this step may include the steps of:

the method comprises the first step of obtaining a set of vibration waves and power factors during the operation of each reference inoculant production facility in a plurality of reference inoculant production facilities to obtain a plurality of sets of vibration waves and a plurality of power factors.

Wherein, every time the preset time length is passed, the power factor can be collected once. The power factors in the set of power factors may be the power factors of the reference inoculant producing device producing the oscillating wave collected over a time period corresponding to the oscillating wave. The preset time period may be a preset time period. The duration of the corresponding shock wave may be the duration of the generation of the shock wave described above with reference to the inoculant producing apparatus.

And a second step of dividing the plurality of vibration waves to obtain a plurality of target divided vibration waves.

For example, this step may include the following sub-steps:

the first substep is to divide the vibration wave to obtain a plurality of divided vibration waves by taking the preset time length of the preset multiple as a division step length when the time length corresponding to the vibration wave in the plurality of vibration waves is greater than the preset time length of the preset multiple.

Wherein the preset multiple may be a preset multiple. The division step may be a preset length into which the vibration wave is divided. The division step may be a preset duration that is a preset multiple. The segmentation step may be equal to a duration corresponding to the current vibration wave. The time length corresponding to the current vibration wave may be the time length from the historical time to the current time. For example, the preset multiple may be 2. The preset time period may be 5 seconds. The segmentation step may be 10 seconds. When the period of time corresponding to the vibration wave is 21 seconds, the vibration wave may be divided into a 10-second divided vibration wave, and a 1-second divided vibration wave.

And a second substep of determining all the obtained divided vibration waves and vibration waves not to be divided as temporary vibration waves to obtain a plurality of temporary vibration waves.

And a third substep, removing the temporary vibration waves of which the corresponding time length is less than the preset rejection time length in the plurality of temporary vibration waves to obtain a plurality of target segmentation vibration waves.

The plurality of target-divided vibration waves may be a plurality of temporary vibration waves after the removal operation is performed.

The temporary vibration waves smaller than the elimination duration are removed, so that the durations corresponding to the target division vibration waves are in the range from the elimination duration to the division step length, and the time differences corresponding to the target division vibration waves in the plurality of target division vibration waves are small.

And thirdly, determining a target difference distance between any two target segmentation vibration waves according to any two target segmentation vibration waves in the plurality of target segmentation vibration waves to obtain a plurality of target difference distances.

Wherein a target difference distance between two target-divided vibration waves may characterize a degree of difference between the two target-divided vibration waves. The smaller the target difference distance between two target-divided oscillatory waves, the more similar these two target-divided oscillatory waves tend to be.

For example, the above formula for determining the target difference distance between any two of the above-mentioned target divided vibration waves may be:

wherein, the first and the second end of the pipe are connected with each other,Ris the target difference distance between any two of the above-mentioned target-divided vibration waves.

Is the first of the above arbitrary two target-divided oscillatory waves.

Is the second of the two arbitrary target-divided oscillatory waves.

Is an exponential function with a natural constant as the base.

The morphological similarity distance function is calculated.

It may be a function of MSD (Morphology Similarity Distance).

The smaller the morphological similarity distance between two divided target oscillatory waves, the smaller the target difference distance between the two divided target oscillatory waves tends to be, and the more similar the two divided target oscillatory waves tend to be.

And fourthly, clustering the plurality of target segmentation vibration waves according to the plurality of target difference distances to obtain a plurality of target categories.

For example, this step may include the following substeps:

the first substep, according to the above-mentioned multiple goal difference distance, through the clustering algorithm based on density with noise, divide the vibration wave to cluster to the above-mentioned multiple goals, get multiple categories and noise point set.

Wherein, the noise points in the noise point set may be isolated target divided vibration waves.

For example, the plurality of target divided vibration waves may be clustered by a Density-Based Clustering algorithm with Noise according to the plurality of target difference distances to obtain a plurality of classes and Noise point sets. Among them, the acceptable percentage of noise points of DBSCAN may be 10%.

A second substep of determining a category of the plurality of categories as a target category.

And a third substep of obtaining a set of rotor eccentricity during operation of each of the plurality of reference inoculant production devices.

Wherein, every time the preset duration is passed, the eccentricity of the rotating shaft can be collected once. The eccentricity of the rotating shaft in the set of eccentricity of the rotating shaft may be the eccentricity of the rotating shaft of a reference inoculant producing device producing the oscillating wave acquired within a time period corresponding to the oscillating wave.

And a fourth substep of determining the noise stability corresponding to the noise point according to the normal power factor, the eccentricity of the rotating shaft corresponding to each noise point in the noise point set and the power factor.

Wherein the noise stability level corresponding to the noise point may be the stability level of the reference inoculant producing apparatus producing the noise point.

For example, the above formula for determining the noise stability corresponding to the noise point may be:

wherein, the first and the second end of the pipe are connected with each other,hthe noise stability corresponding to the above noise point.eIs a natural constant which is a function of the time,nthe number of the eccentricity of the rotating shaft and the power factor corresponding to the noise point.

Is the first in the eccentricity of the rotating shaft corresponding to the noise pointiThe eccentricity of the rotating shaft.

Is an absolute value function.

Is the first of the power factors corresponding to the above noise pointsiA power factor.

Is the above normal power factor.

The rotor eccentricity corresponding to a noise point may be the rotor eccentricity of a reference inoculant production device producing the noise point collected over the time period corresponding to the noise point. The time period corresponding to the noise point may be the time period that the noise point is generated with reference to inoculant producing equipment. The power factor corresponding to a noise point may be the power factor of the reference inoculant producing device producing that noise point collected over the duration corresponding to that noise point. Because the eccentricity and the power factor of the rotating shaft can be collected every preset time, the number of the eccentricity of the rotating shaft corresponding to the noise point and the number of the power factor corresponding to the noise point can be the same. Therefore, the number of the eccentricity of the rotating shaft and the power factor corresponding to the noise point may be the number of the eccentricity of the rotating shaft corresponding to the noise point. The number of the eccentricity of the rotating shaft and the number of the power factors corresponding to the noise point can also be the number of the power factors corresponding to the noise point. Because the specification and model of the reference inoculant production equipment can be the same as those of the inoculant production equipment to be detected. Therefore, the power factor of the reference inoculant production equipment in normal operation can be the same as the power factor of the inoculant production equipment to be detected in normal operation. Since the normal power factor can be the power factor of the inoculant production equipment to be detected in normal operation. Therefore, the normal power factor can also be the power factor of the reference inoculant production facility during normal operation. The lower the noise stability associated with a noise point tends to indicate a greater likelihood of failure of the reference inoculant producing equipment producing that noise point.

A fifth substep of removing the noise point when the noise stability corresponding to the noise point in the set of noise points is less than the stability threshold.

Because the specification and model of the reference inoculant production equipment can be the same as those of the inoculant production equipment to be detected. Therefore, the minimum stability degree of the reference inoculant production equipment during normal operation can be the same as the minimum stability degree of the inoculant production equipment to be detected during normal operation. Because, the stability threshold can be the minimum stability when the inoculant production equipment to be detected works normally. Therefore, the stability threshold may also be the minimum stability for normal operation of the reference inoculant production facility. Thus, a reference inoculant production facility that produces a noise point less than the stability threshold can be considered a malfunctioning reference inoculant production facility.

And a sixth substep of using the noise points in the removed noise point set as a target class.

In practical situations, the vibration waves generated by the reference inoculant production equipment under the same working condition are very similar and are clustered into the same medium class. Therefore, the object dividing vibration wave in the same object class can be the vibration wave generated by the reference inoculant producing device under the same working condition. The object-dividing vibration waves in different object classes may be vibration waves generated by reference inoculant producing equipment under different operating conditions.

And fifthly, determining a reference power factor corresponding to the target divided vibration wave according to the power factor corresponding to the target divided vibration wave for each target divided vibration wave in the plurality of target categories.

Wherein the power factor corresponding to the target divided vibration wave may be a power factor of a reference inoculant producing apparatus which produces the target divided vibration wave acquired during a time period corresponding to the target divided vibration wave.

For example, when the number of power factors corresponding to the target divided oscillatory wave is greater than 1, the average of the power factors corresponding to the target divided oscillatory wave is determined as the reference power factor corresponding to the target divided oscillatory wave.

For another example, when the number of power factors corresponding to the target divided oscillatory wave is equal to 1, a power factor closest to the target divided oscillatory wave is acquired as a reference power factor, and the average of the power factor corresponding to the target divided oscillatory wave and the reference power factor is determined as the reference power factor corresponding to the target divided oscillatory wave.

For example, the target divided vibration wave may be a vibration wave collected at 07/12 hours 05 min 00 sec in 2022 to 05 min 07 sec in 07/12 hours in 2022. The preset time period may be 5 seconds. One power factor may be acquired at 05 min 03 s at 07/12/2022, and since the power factor may be acquired every 5 seconds, the number of power factors corresponding to the target divided vibration wave is equal to 1. Therefore, the two power factors in the vicinity of the target divided vibration wave may be acquired at 04 minutes 58 seconds on 07/12 in 2022 and 05 minutes 08 seconds on 07/12 in 2022, respectively. Since 04 minutes 58 seconds at 07/12/2022 differs from 05 minutes 00 seconds at 07/12/2022 by 2 seconds, 05 minutes 08 seconds at 07/12/2022 by 1 second, 1 second is shorter than the corresponding time length of 2 seconds, then 05 minutes and 08 seconds at 07/12/2022 are closer than 04 minutes and 58 seconds at 07/12/2022, so the power factor collected at 05 minutes and 08 seconds at 07/12/2022 can be used as the reference power factor.

In practice, the reference power factor corresponding to the target split shock wave may reflect the general level of the power factor of the reference inoculant producing apparatus over the time period in which the target split shock wave is generated.

And sixthly, determining the mean value of the reference power factors corresponding to the target segmentation vibration waves in each of the plurality of target categories as the mean value of the target power factors corresponding to the target categories.

In practical cases, the target power factor average value corresponding to the target category may reflect a general level of the reference power factor corresponding to each target segmentation vibration wave in the target category.

And seventhly, sorting the multiple target categories according to the target power factor average value corresponding to each target category in the multiple target categories to obtain a target category sequence.

For example, the target categories may be sorted in order from small to large according to the target power factor average corresponding to each of the target categories, so as to obtain a target category sequence. For any two adjacent target categories in the target category sequence, the target power factor mean value corresponding to the first target category of the two adjacent target categories is smaller than the target power factor mean value corresponding to the second target category of the two adjacent target categories.

And eighthly, dividing the vibration waves according to the target in each target category in the target category sequence, determining the reference vibration waves corresponding to the target categories, and obtaining a plurality of reference vibration waves.

For example, this step may include the following sub-steps:

the first substep is to determine a class independence degree corresponding to each target divided vibration wave in the target class according to the target divided vibration waves in the target class.

The class independence degree corresponding to the target segmentation vibration wave can represent the independence degree of the target segmentation vibration wave in the target class.

For example, the above formula for determining the class independence degree corresponding to each target divided vibration wave in the target class may be:

wherein the content of the first and second substances,Kis the class independence degree corresponding to the target divided vibration wave.TIs the number of object-divided vibration waves in the above-mentioned object class.

The morphological similarity distance function is calculated.

Is the second in the above object classtThe individual targets divide the vibration wave.VIs the above-mentioned object-divided vibration wave.

When the class independence degree corresponding to the target segmentation vibration wave is larger, the independence degree of the target segmentation vibration wave in the target class is larger, and the membership degree of the target segmentation vibration wave to the target class is smaller.

A second substep of determining a target divided vibration wave corresponding to the smallest class independence degree among the class independence degrees corresponding to the respective target divided vibration waves in the target classes as a reference vibration wave corresponding to the target class.

Therefore, the reference vibration wave corresponding to the target class may be the target divided vibration wave with the highest degree of membership to the target class, and therefore, the target class may be represented by the reference vibration wave corresponding to the target class.

And ninthly, determining the load intensity level corresponding to the reference vibration wave corresponding to the target category according to the position of each target category in the target category sequence.

For example, when the plurality of target categories are sorted in the descending order of the target power factor average corresponding to each of the plurality of target categories, for any two adjacent target categories in the obtained target category sequence, the load intensity level corresponding to the reference vibration wave corresponding to the first target category of the two adjacent target categories may be higher than the load intensity level corresponding to the reference vibration wave corresponding to the second target category of the two adjacent target categories.

Optionally, when the current stability degree is smaller than the stability degree threshold, early warning information indicating that the inoculant production equipment to be detected is in failure can be output.

Wherein, the early warning information can be 'the inoculant production equipment to be detected is in failure and needs to be maintained'.

The real-time detection of whether the inoculant production equipment to be detected fails can be realized.

Step 203, determining a difference distance corresponding to the reference vibration wave according to the current vibration wave and each reference vibration wave in the plurality of reference vibration waves.

In some embodiments, the difference distance corresponding to the reference vibration wave may be determined according to the current vibration wave and each of the plurality of reference vibration waves.

The difference distance corresponding to the reference vibration wave can represent the difference degree between the reference vibration wave and the current vibration wave. The smaller the difference distance corresponding to the reference vibration wave, the more similar the reference vibration wave tends to be to the current vibration wave.

As an example, the above formula for determining the difference distance corresponding to the above-mentioned reference vibration wave may be:

wherein, the first and the second end of the pipe are connected with each other,ris the difference distance corresponding to the above-mentioned reference vibration wave.

Is an exponential function with a natural constant as the base.

The morphological similarity distance function is calculated.

Is the current vibration wave.

Is the above-mentioned reference vibration wave.

And 204, screening the target reference vibration wave from the multiple reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration waves in the multiple reference vibration waves.

In some embodiments, the target reference vibration wave may be selected from the plurality of reference vibration waves according to a difference distance and a load intensity level corresponding to the reference vibration wave of the plurality of reference vibration waves.

As an example, this step may comprise the steps of:

and the first step, screening out the reference vibration wave with the minimum corresponding difference distance from the plurality of reference vibration waves as a temporary reference vibration wave.

And secondly, when the higher-level reference vibration wave does not exist in the plurality of reference vibration waves or the difference distance corresponding to the higher-level reference vibration wave is not smaller than a preset difference threshold value, determining the temporary reference vibration wave as the target reference vibration wave.

Wherein the higher-order reference vibration wave may be a reference vibration wave corresponding to a load intensity level one order higher than a load intensity level corresponding to the provisional reference vibration wave.

For example, when the load intensity level corresponding to the temporary reference vibration wave is a tertiary load intensity, a load intensity level one level higher than the load intensity level corresponding to the temporary reference vibration wave may be a secondary load intensity. The above-mentioned difference threshold is a minimum difference distance that can represent the current vibration wave with the provisional reference vibration wave. For example, the difference threshold may be 0.05.

And thirdly, when the plurality of reference vibration waves have a higher-level reference vibration wave and the difference distance corresponding to the higher-level reference vibration wave is smaller than a difference threshold, updating the temporary reference vibration wave to the higher-level reference vibration wave, when the temporary reference vibration wave is updated, the plurality of reference vibration waves still have the higher-level reference vibration wave and the difference distance corresponding to the higher-level reference vibration wave is smaller than the difference threshold, repeating the steps until the higher-level reference vibration wave does not exist in the plurality of reference vibration waves or the difference distance corresponding to the higher-level reference vibration wave is not smaller than the difference threshold, and determining the finally obtained temporary reference vibration wave as the target reference vibration wave.

For example, initially, the load intensity level corresponding to the temporary reference vibration wave may be four-level load intensity. At this time, the difference distance corresponding to the reference vibration wave corresponding to the three-level load strength needs to be compared with the difference threshold value. If the difference distance corresponding to the reference vibration wave corresponding to the three-level load intensity is 0.02, and the difference threshold value is 0.05. Since, 0.02 were woven in 0.05. The provisional reference vibration wave may be updated to a reference vibration wave corresponding to the tertiary load intensity. At this time, the difference distance corresponding to the reference vibration wave corresponding to the secondary load strength needs to be compared with the difference threshold value. If the difference distance corresponding to the reference vibration wave corresponding to the secondary load intensity is 0.03, the temporary reference vibration wave can be updated to the reference vibration wave corresponding to the secondary load intensity. At this time, the difference distance corresponding to the reference vibration wave corresponding to the first-order load strength needs to be compared with the difference threshold value. And if the difference distance corresponding to the reference vibration wave corresponding to the primary load strength is 0.06, the final temporary reference vibration wave is the reference vibration wave corresponding to the secondary load strength. The target reference vibration wave is a reference vibration wave corresponding to the secondary load intensity.

In practical cases, when there is a higher-order reference vibration wave in the plurality of reference vibration waves and the difference distance corresponding to the higher-order reference vibration wave is smaller than the difference threshold, it may be considered that the reference vibration wave has a possibility of being updated to the higher-order reference vibration wave.

And step 205, determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and a plurality of target duty ratios.

In some embodiments, the optimal duty cycle may be determined according to a difference distance corresponding to the target reference vibration wave, the current stability degree, and the target duty cycles.

Wherein, the optimized duty ratio can be the optimized duty ratio of a control signal for controlling the rotating speed of the rotating shaft of the inoculant production equipment to be detected at the current time.

As an example, the optimized duty ratio may be determined by a PSO (Particle Swarm Optimization, a population-based random Optimization technique algorithm) according to the difference distance corresponding to the target reference vibration wave, the current stability degree, and the plurality of target duty ratios.

For example, the cost function of the PSO may be:

wherein, the first and the second end of the pipe are connected with each other,Fis the cost function value of the PSO.

Is the current degree of stability mentioned above.

Is the difference distance corresponding to the target reference vibration wave. The particles of the PSO may be the target duty cycle.

And step 206, determining the optimized rotating speed of the rotating shaft of the inoculant production equipment to be detected according to the optimized duty ratio.

In some embodiments, the optimum rotation speed of the rotating shaft of the inoculant production plant can be determined according to the optimum duty cycle.

Wherein, the optimized rotating speed can be the speed of the rotating shaft of the to-be-detected inoculant production equipment after optimization.

This step can be implemented by the prior art, and is not described herein again.

And step 207, adjusting the rotating speed of a rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize optimized control of the inoculant production equipment to be detected.

In some embodiments, the rotation speed of the rotating shaft of the inoculant production device to be detected can be adjusted to an optimized rotation speed, so as to realize optimized control of the inoculant production device to be detected.

As an example, the rotation speed of the rotating shaft of the inoculant production device to be detected at the current moment can be adjusted to the optimized rotation speed, so as to realize real-time optimized control of the inoculant production device to be detected.

The self-setting optimization control system of the inoculant production equipment can realize optimization control of the inoculant production equipment to be detected, and effectively improves the grinding efficiency and the electric energy utilization rate of the inoculant production equipment. A self-tuning optimization control system of inoculant production equipment can comprise a data acquisition module and a control module. The data acquisition module is used for acquiring the information to be detected and the target duty ratios in the working process of the inoculant production equipment to be detected and sending the information to be detected and the target duty ratios to the control module. The information to be detected includes: current vibration wave, current power factor, and current front spindle eccentricity. In practical situations, the current vibration waves generated by the inoculant production equipment to be detected in different working states are different, so that the current vibration waves can be acquired to facilitate the subsequent determination of the working state of the inoculant production equipment to be detected at the current moment. The current power factor of the inoculant production equipment to be detected can usually represent the utilization rate of the electric energy at the current moment, so that the utilization rate of the electric energy at the current moment can be determined in real time by obtaining the current power factor, the subsequent optimization of the utilization rate of the electric energy is facilitated, and the waste of the electric energy can be reduced. When the eccentricity of the front rotating shaft is larger, the production equipment of the inoculant to be detected often breaks down, so that whether the production equipment of the inoculant to be detected breaks down or not can be judged according to the eccentricity of the front rotating shaft. The rotating speed of the rotating shaft of the inoculant production equipment to be detected can be adjusted by adjusting the target duty ratios, so that a plurality of target duty ratios are obtained, and the rotating speed of the rotating shaft of the inoculant production equipment to be detected can be optimized by optimizing the plurality of target duty ratios conveniently in the follow-up process. The control module is used for receiving the information to be detected and the target duty ratios sent by the data acquisition module, and realizing the following steps: firstly, determining the current stability degree of the inoculant production equipment to be detected according to a pre-acquired normal power factor, the current power factor and the current rotating shaft eccentricity. In practical cases, when the difference between the current power factor and the normal power factor is larger or when the eccentricity of the front rotary shaft is larger, the equipment for producing the inoculant to be detected is more unstable at the current moment and is more likely to malfunction. Therefore, by determining the current stability degree in consideration of the normal power factor, the above current power factor, and the above current front hinge eccentricity, the accuracy of determining the current stability degree can be improved. Then, when the current stability degree is greater than or equal to a preset stability degree threshold value, acquiring a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves. In practical situations, when the current stability degree is smaller than the stability degree threshold, the inoculant production equipment to be detected often breaks down, the inoculant production equipment to be detected often needs to be controlled to stop working, the rotating speed of the rotating shaft of the inoculant production equipment to be detected often needs to be adjusted to 0, and the inoculant production equipment to be detected is maintained. The adjustment of the rotating speed of the rotating shaft of the inoculant production equipment to be detected is not needed to be realized through subsequent steps. Secondly, since each of the plurality of reference vibration waves may be a vibration wave under a different operating condition, different reference vibration waves may often represent different operating conditions. And the load intensity level corresponding to the reference vibration wave is obtained, and the load intensity levels corresponding to different working states can be obtained. The current vibration wave and the reference vibration wave can be conveniently compared subsequently, and the working state corresponding to the current moment of the inoculant production equipment to be detected can be determined. Next, a difference distance corresponding to the reference vibration wave is determined according to the current vibration wave and each of the plurality of reference vibration waves. And then, screening out the target reference vibration wave from the plurality of reference vibration waves according to the difference distance and the load intensity level corresponding to the reference vibration waves in the plurality of reference vibration waves. In practical cases, the smaller the difference distance corresponding to the reference vibration wave, the more similar the current vibration wave and the reference vibration wave tend to be, and therefore, the accuracy of determining the target reference vibration wave can be improved. And then, determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios, wherein the optimized duty ratio is the optimized duty ratio of a control signal for controlling the rotating speed of the rotating shaft of the inoculant production equipment to be detected at the current moment. The difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios are comprehensively considered, the optimized duty ratio is determined, and the accuracy of determining the optimized duty ratio can be improved. And then, determining the optimized rotating speed of the rotating shaft of the inoculant production equipment to be detected according to the optimized duty ratio. The rotating speed of the rotating shaft of the inoculant production equipment to be detected is controlled by the target duty ratio, so that the target duty ratio is optimized, namely the rotating speed of the rotating shaft of the inoculant production equipment to be detected is optimized, and the accuracy of determining the optimized rotating speed is improved. And finally, adjusting the rotating speed of the rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize optimized control on the inoculant production equipment to be detected. Therefore, the invention can realize the optimized control of the inoculant production equipment to be detected, and effectively improve the grinding efficiency and the electric energy utilization rate of the inoculant production equipment.

The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.

Claims

1. The self-setting optimization control system of inoculant production equipment is characterized by comprising a data acquisition module and a control module, wherein the data acquisition module is used for acquiring information to be detected and a plurality of target duty ratios in the working process of the inoculant production equipment to be detected and sending the information to be detected and the target duty ratios to the control module, and the information to be detected comprises: the control module is used for receiving the information to be detected and a plurality of target duty ratios sent by the data acquisition module and realizing the following steps:

determining an optimized duty ratio according to the difference distance corresponding to the target reference vibration wave, the current stability degree and the target duty ratios, wherein the optimized duty ratio is the optimized duty ratio of a control signal for controlling the rotating speed of the rotating shaft of the inoculant production equipment to be detected at the current moment;

adjusting the rotating speed of a rotating shaft of the inoculant production equipment to be detected to be an optimized rotating speed so as to realize optimized control on the inoculant production equipment to be detected;

the formula for determining the current stability degree of the inoculant production equipment to be detected is as follows:

wherein, the first and the second end of the pipe are connected with each other,His the current degree of stability of the inoculant production plant to be tested,eis a natural constant which is a function of the time,

is the eccentricity of the current front rotating shaft,

is to find the function of the absolute value,

is the current power factor of the power converter,

is the normal power factor;

the obtaining a plurality of reference vibration waves and a load intensity level corresponding to each of the plurality of reference vibration waves includes:

acquiring a vibration wave and a power factor set in the working process of each reference inoculant production device in a plurality of reference inoculant production devices to obtain a plurality of vibration waves and a plurality of power factor sets, wherein the power factor is acquired once every preset time period, and the power factor in the power factor sets is the power factor of the reference inoculant production device which generates the vibration waves and is acquired in the time period corresponding to the vibration waves;

determining a target difference distance between any two target segmentation vibration waves according to any two target segmentation vibration waves in the target segmentation vibration waves to obtain a plurality of target difference distances;

2. The system of claim 1, wherein the splitting the plurality of vibration waves into a plurality of target split vibration waves comprises:

when the time length corresponding to the vibration waves in the plurality of vibration waves is greater than the preset time length of a preset multiple, dividing the vibration waves by taking the preset time length of the preset multiple as a dividing step length to obtain a plurality of divided vibration waves;

3. The system according to claim 1, wherein the clustering the plurality of target segmented vibration waves according to the plurality of target difference distances to obtain a plurality of target classes comprises:

determining a category of the plurality of categories as a target category;

and taking the noise points in the removed noise point set as a target class.

4. The system according to claim 3, wherein the formula for determining the noise stability corresponding to the noise point is:

is to find the function of the absolute value,

is the normal power factor.

5. The system according to claim 1, wherein the determining, for each target segmented vibration wave in the plurality of target classes, a reference power factor corresponding to the target segmented vibration wave according to the power factor corresponding to the target segmented vibration wave comprises:

6. The system according to claim 1, wherein the determining the reference vibration wave corresponding to the target class according to the target segmentation vibration wave in each target class in the target class sequence comprises:

7. The system according to claim 6, wherein the formula for determining the class independence degree corresponding to each target segmentation vibration wave in the target class is as follows:

wherein the content of the first and second substances,Kis the class independence degree corresponding to the target segmentation vibration wave,Tis the number of object-segmented vibration waves in the object class,

the method is to calculate the distance function of the form similarity,

is the second in the object classtThe individual target splits the vibration wave into a plurality of objects,Vis the target-segmented vibration wave.

8. The system according to claim 1, wherein the screening the target reference vibration wave from the plurality of reference vibration waves according to the corresponding differential distance and the load intensity level of the reference vibration wave comprises:

screening out a corresponding reference vibration wave with the minimum difference distance from the plurality of reference vibration waves to serve as a temporary reference vibration wave;

when no higher primary reference vibration wave exists in the plurality of reference vibration waves or the difference distance corresponding to the higher primary reference vibration wave is not smaller than a preset difference threshold value, determining the temporary reference vibration wave as a target reference vibration wave, wherein the higher primary reference vibration wave is a reference vibration wave corresponding to a load intensity level one level higher than the load intensity level corresponding to the temporary reference vibration wave;

when the plurality of reference vibration waves have a higher-level reference vibration wave and the difference distance corresponding to the higher-level reference vibration wave is smaller than the difference threshold, updating the temporary reference vibration wave to the higher-level reference vibration wave, after the temporary reference vibration wave is updated, the plurality of reference vibration waves still have the higher-level reference vibration wave and the difference distance corresponding to the higher-level reference vibration wave is smaller than the difference threshold, repeating the steps until the higher-level reference vibration wave does not exist in the plurality of reference vibration waves or the difference distance corresponding to the higher-level reference vibration wave is not smaller than the difference threshold, and determining the finally obtained temporary reference vibration wave as the target reference vibration wave.