CN114808326A - Sizing quality adjusting and controlling method of sizing machine based on computer aided design - Google Patents
Sizing quality adjusting and controlling method of sizing machine based on computer aided design Download PDFInfo
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- 238000004513 sizing Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000011960 computer-aided design Methods 0.000 title claims abstract description 12
- 239000013598 vector Substances 0.000 claims abstract description 182
- 239000002002 slurry Substances 0.000 claims description 59
- 210000004911 serous fluid Anatomy 0.000 claims description 18
- 230000001276 controlling effect Effects 0.000 claims description 10
- 238000004804 winding Methods 0.000 claims description 10
- 230000001105 regulatory effect Effects 0.000 claims description 9
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- 238000003672 processing method Methods 0.000 abstract description 2
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- 238000009941 weaving Methods 0.000 description 7
- 238000001914 filtration Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 238000003908 quality control method Methods 0.000 description 3
- 210000002966 serum Anatomy 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
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- 239000007788 liquid Substances 0.000 description 2
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- 238000012360 testing method Methods 0.000 description 1
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- 239000002699 waste material Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- D06B—TREATING TEXTILE MATERIALS USING LIQUIDS, GASES OR VAPOURS
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Abstract
The invention relates to the technical field of electrical digital data processing, in particular to a sizing quality adjusting and controlling method of a sizing machine based on computer aided design. The method can realize internet data services such as big data resource service, database service, cloud database service and the like; the method can also be used for cloud computing software, new generation intelligent massive information search software, data mining software and cloud fusion application operation support platform software. The method is a digital computing device or data processing method particularly suited for a specific function; a plurality of preferred characteristic vectors when the sizing machine is used for processing the gauze are obtained by using computer aided design, and the standard characteristic vectors are obtained by combining data in a historical database and real-time data, so that the optimal characteristic vectors in the preferred characteristic vectors are obtained according to the standard characteristic vectors, the reliability in the data processing process is improved, and the working efficiency of the sizing machine is improved.
Description
Technical Field
The invention relates to the technical field of electrical digital data processing, in particular to a sizing quality adjusting and controlling method of a sizing machine based on computer aided design.
Background
In order to increase the wear resistance, smoothness and antistatic property of the warp yarn in the manufacturing process and improve the weavability, sizing treatment is generally required before weaving, and the warp yarn also becomes slashing; particularly, the sizing is needed to be carried out on the high-speed weaving machines widely used at present, such as an air jet weaving machine and a water jet weaving machine. The good sizing processing not only increases the strength of the warp yarn, ensures the hairiness to be attached, greatly improves the wear resistance, and maintains the elasticity and the flexibility.
When warp or gauze is subjected to sizing processing at present, parameter setting of a sizing machine is often set according to working experience and historical data of workers, but functional loss of the sizing machine in a continuous use process can cause poor sizing effect of the sizing machine, so that elasticity of the gauze is reduced, the phenomena of uneven sizing and low sizing efficiency occur, and gauze waste is caused.
Disclosure of Invention
In order to solve the technical problem, the invention aims to provide a sizing quality control method of a sizing machine based on computer aided design, which comprises the following steps:
dividing any roll of gauze into a plurality of gauze samples, and acquiring the size temperature and the size concentration of each gauze sample when the gauze sample is immersed in a sizing machine and the size speed of a winding shaft corresponding to each gauze sample; forming a feature vector of each gauze sample by the pulp temperature, the pulp concentration and the slashing speed;
forming a serous fluid temperature sequence according to the serous fluid temperatures corresponding to all the gauze samples; obtaining the temperature stability of each roll of the gauze according to the temperature sequence of the serous fluid; acquiring temperature stability sequences corresponding to all the gauzes, acquiring candidate stability according to element differences in the temperature stability sequences, and acquiring corresponding candidate feature vectors according to the candidate stability;
acquiring a concave-convex value sequence corresponding to each gauze sample, acquiring the flatness of each gauze sample based on the concave-convex value sequence, and acquiring a plurality of preferred characteristic vectors according to the flatness;
acquiring a reference feature vector in historical data, and obtaining a standard feature vector according to the reference feature vector, the feature vector and the candidate feature vector; obtaining an optimal feature vector based on the similarity of the standard feature vector and the plurality of preferred feature vectors; and regulating and controlling the sizing machine according to the optimal characteristic vector.
Preferably, the step of obtaining the temperature stability of each roll of gauze according to the temperature sequence of the slurry comprises:
the method for acquiring the temperature stability comprises the following steps:
wherein,
indicating temperature stability;
represents the length of the slurry temperature sequence;
indicates the second in the temperature series of the slurry
An element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element.
Preferably, the step of obtaining the corresponding candidate feature vector according to the candidate stability includes:
the gauze corresponding to the candidate stability is obtained, a plurality of corresponding gauze samples are obtained according to the gauze, a plurality of characteristic vectors corresponding to the gauze samples are obtained, and the numerical value when the occurrence frequency of each element in the characteristic vectors is the maximum forms a new characteristic vector to serve as the candidate characteristic vector.
Preferably, the step of obtaining a concave-convex value sequence corresponding to each gauze sample includes:
obtaining a sample image corresponding to each gauze sample, and obtaining a plurality of concave-convex sequences according to pixel values of pixel points in the sample image; and obtaining corresponding concave-convex values according to the range in each concave-convex sequence, wherein the plurality of concave-convex values form the concave-convex value sequence corresponding to the gauze sample.
Preferably, the step of obtaining the flatness of each gauze sample based on the sequence of concave-convex values and obtaining a plurality of preferred feature vectors according to the magnitude of the flatness includes:
acquiring the variance of all elements in the concave-convex value sequence, wherein the flatness and the variance are in a negative correlation relationship; and selecting the flatness corresponding to the flatness within a preset range, wherein the feature vector of the gauze sample corresponding to the flatness is the preferred feature vector.
Preferably, the step of obtaining a standard feature vector according to the reference feature vector, the feature vector, and the candidate feature vector includes:
calculating the mean value of a plurality of characteristic vectors corresponding to each roll of gauze, obtaining the ratio of the mean value of the characteristic vectors to the candidate characteristic vectors as a weight, and obtaining the standard characteristic vector by multiplying the weight by the reference characteristic vector.
Preferably, the step of obtaining an optimal feature vector based on the similarity between the standard feature vector and the plurality of preferred feature vectors includes:
and acquiring the similarity between each preferred feature vector and the standard feature vector, wherein the preferred feature vector corresponding to the maximum similarity is the optimal feature vector.
The invention has the following beneficial effects: according to the embodiment of the invention, internet data services such as big data resource service, database service and cloud database service can be realized; the method can also be used for cloud computing software, new generation intelligent massive information search software, data mining software and cloud fusion application operation support platform software. The method is a digital computing device or data processing method particularly suited for a specific function; the method has the advantages that the standard characteristic vector is obtained through the reference characteristic vector obtained through historical data, the characteristic vector obtained in real time and the corresponding candidate characteristic vector when the temperature is stable by means of computer aided design, parameters of the sizing machine are regulated and modified based on the standard characteristic vector as an ideal characteristic vector, reliability of data analysis is improved, sizing effect of the sizing machine is effectively improved, the optimal characteristic vector is obtained by comparing the corresponding optimal characteristic vector with the standard characteristic vector when flatness is good, the sizing machine is regulated and controlled based on the parameters in the optimal characteristic vector, the problem of uneven sizing of the sizing machine is avoided, and efficiency is improved.
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 flowchart of a method for regulating sizing quality of a sizing machine based on computer aided design according to an embodiment of the present invention.
Detailed Description
In order to further illustrate the technical means and effects of the present invention adopted to achieve the predetermined purpose, the following detailed description of the sizing quality control method of the sizing machine based on the computer aided design according to the present invention with reference to the accompanying drawings and the preferred embodiments shows the following detailed implementation, structure, features and effects. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily 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 method is suitable for regulating and controlling the parameters of the sizing machine, and aims to solve the problem of poor sizing effect caused by unreasonable parameter setting of the existing sizing machine. The preferred feature vector is derived based on the flatness corresponding to each gauze sample. The method comprises the steps of obtaining a reference characteristic vector according to historical data, obtaining a standard characteristic vector by combining the characteristic vector obtained in real time and a candidate characteristic vector, and selecting the optimal characteristic vector from a plurality of optimal characteristic vectors according to the standard characteristic vector, so that the number of the slasher adopted is regulated, the reliability of obtaining the slasher data is improved, and the sizing efficiency is improved.
The specific scheme of the sizing quality control method of the sizing machine based on computer aided design provided by the invention is specifically described below with reference to the attached drawings.
Referring to fig. 1, a flowchart of a method for adjusting and controlling sizing quality of a sizing machine based on computer aided design according to an embodiment of the present invention is shown, where the method specifically includes the following steps:
step S100, dividing any one roll of gauze into a plurality of gauze samples, and acquiring the slurry concentration and the slurry temperature of each gauze sample when the gauze sample is immersed in a sizing machine and the sizing speed of a winding shaft corresponding to each gauze sample; the slurry temperature, slurry concentration and slashing speed are used to form a feature vector for each gauze sample.
Specifically, in order to analyze the sizing quality of each roll of gauze by the sizing machine, in the embodiment of the invention, one roll of gauze is divided into a plurality of gauze samples, and the parameters of the sizing liquid when each gauze sample is immersed in the groove of the sizing machine for sizing are counted.
Preferably, in the embodiment of the present invention, a roll of gauze is divided into ten gauze samples by length, and each gauze sample is analyzed.
Because each gauze sample can take away a part of the slurry when entering the groove of the sizing machine for sizing, the sizing effect on the gauze is achieved; when the concentration of the serous fluid is too high, the sizing rate of the gauze is too high, so that surface sizing is formed, the elasticity of the gauze is reduced, and the phenomena of slurry falling and brittle fracture are generated during weaving; when the concentration of the serous fluid is lower, the upper reduction is too low and the permeation is too much, which can cause the phenomena that the gauze generates light pulp and fluffs during weaving and the weaving machine does not clear the shed. After each gauze sample is immersed into the groove of the sizing machine, the concentration of the slurry in the groove of the sizing machine can be changed to a certain extent; therefore, the embodiment of the invention utilizes the principle of the refractive index of light to obtain the slurry concentration of each gauze sample when entering the groove of the sizing machine through the Abbe refractometer.
Further, when the temperature of the slurry is increased, the molecular thermal motion is increased, and the flowing property of the slurry is higher, so that the viscosity of the slurry is reduced correspondingly. Therefore, in the embodiment of the invention, the infrared thermometer is used for testing the temperature of the slurry when each gauze sample enters the groove of the sizing machine, and the defect of low or high slurry viscosity caused by too high or too low slurry temperature is avoided by controlling the temperature of the slurry.
Meanwhile, after each gauze sample is immersed in the groove of the sizing machine, the gauze is wound by a winding shaft outside the sizing machine, so that each gauze sample is taken out of the groove of the sizing machine; when the speed of the winding shaft is too high, the gauze stays in the groove for too short a time, which may result in less saturation of the slurry, and the pressurizing effect of the pressure-drop roller is reduced, resulting in thickening of the slurry liquid film. In the embodiment of the invention, the photoelectric sensor is arranged on the winding shaft, the winding shaft speed of each gauze sample wound by the current winding shaft is detected by the photoelectric sensor, and the winding shaft speed is recorded as the sizing speed.
Therefore, the corresponding serous parameters such as serous concentration, serous temperature and sizing speed and the like of each gauze sample when the gauze sample is immersed in a sizing machine for sizing are obtained, the serous parameters form a characteristic vector corresponding to each gauze sample, namely the characteristic vector corresponding to each gauze sample is as follows:
wherein,
representing the feature vector corresponding to the 1 st gauze sample;
indicating the corresponding slurry concentration of the 1 st gauze sample;
represents the temperature of the slurry corresponding to the 1 st gauze sample;
represents the slashing speed corresponding to the 1 st gauze sample.
Step S200, forming a serous fluid temperature sequence according to the serous fluid temperatures corresponding to all gauze samples; obtaining the temperature stability of each roll of gauze according to the temperature sequence of the serous fluid; and acquiring temperature stability sequences corresponding to all the gauzes, acquiring candidate stability according to element differences in the temperature stability sequences, and acquiring corresponding candidate feature vectors according to the candidate stability.
The change in the slurry temperature indirectly affects the change in the slurry concentration for each gauze sample obtained in step S100, thereby affecting the penetration and coverage of each gauze sample, and when a fiber is partially exposed to an aqueous substance, such as oil, wax, or grease, the slurry temperature affects the wetting and adhesion of the fiber. Therefore, the temperature of the serous fluid corresponding to each gauze sample forms a serous fluid temperature sequence, and the temperature stability of the serous fluid in the groove of the sizing machine obtained according to the serous fluid temperature sequence is as follows:
wherein,
indicating temperature stability;
indicates the length of the slurry temperature sequence, examples of the present invention
；
Indicates the second in the temperature series of the slurry
An element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element.
By analogy, obtaining a serous fluid temperature sequence corresponding to each roll of gauze, and further obtaining the temperature stability corresponding to the roll of gauze according to the serous fluid temperature sequence corresponding to each roll of gauze, so that a temperature stability sequence is formed according to the temperature stability of each roll of gauze; within the specified temperature range, the more stable the temperature, the more stable the fluidity of the present slurry, and thus the more uniform the sizing of the gauze.
Furthermore, the temperature stability sequence is processed as a signal sequence, and in the embodiment of the present invention, the temperature stability sequence is analyzed by a self-designed filter, and a kernel function of the filter is set to be
And filtering the temperature stability sequence through the kernel function, outputting a plurality of digital signals, and when the digital signals exceed a preset range, indicating that the difference between two adjacent elements corresponding to the digital signals is overlarge, so that smaller values of the elements in the temperature stability sequence are discarded for secondary filtering, and after multiple times of filtering, the digital signals with smaller differences are finally obtained, and the element values in the temperature stability sequence corresponding to the digital signals are reserved, wherein the reserved element values are candidate stability.
Preferably, the preset range is set as the preset range in the embodiment of the invention
。
As a preferred example, assume that the temperature stability sequence is:
using kernel functions
The digital signals obtained by filtering the temperature stability sequence are respectively as follows:
. Screening digital signals which exceed a preset range from the acquired digital signals into
The screened digital signals are respectively corresponding to the temperature stability sequences for digital rejection, and the rejected digital signals are smaller values of two element values corresponding to the digital signals, namely, the original temperature stability sequences become after partial value rejection:
(ii) a Further, the digital signals obtained by performing the secondary filtering on the new sequence are respectively:
(ii) a Discarding the sequence again according to the digital signal out of the preset range becomes:
(ii) a The digital signals obtained by further filtering the sequence for the third time are respectively:
(ii) a If no digital signal beyond the preset range exists, the corresponding sequence of the digital signal
And reserving all element values, wherein the reserved element values are the candidate stability.
And obtaining the gauze corresponding to the candidate stability, obtaining a plurality of corresponding gauze samples according to the gauze, obtaining the characteristic vectors corresponding to the gauze samples, and forming a new characteristic vector as the candidate characteristic vector by using the numerical value of each element in the characteristic vector when the occurrence frequency is the maximum.
Specifically, each gauze is corresponding to each roll of gauze based on the candidate stability value in the screened temperature stability sequence, so that the screened and retained serum temperature sequence is corresponding to each roll of gauze, and when the serum temperature of each gauze sample is collected, the serum concentration and the slashing speed corresponding to the gauze sample are obtained at the same time, that is, the feature vector corresponding to the gauze samples of multiple rolls of gauze can be obtained. In the embodiment of the invention, the number of times of appearance of each element in all the feature vectors screened out through candidate stability is counted, and the element with the largest number of appearance times forms a new feature vector to be used as a candidate feature vector, namely, the mode of the pulp temperature, the mode of the pulp concentration and the mode of the slashing speed in all the feature vectors are screened out to form the candidate feature vector. In other embodiments, the candidate feature vector may be obtained by means of a mean value of all feature vectors.
And step S300, acquiring a concave-convex value sequence corresponding to each gauze sample, acquiring the flatness of each gauze sample based on the concave-convex value sequence, and acquiring a plurality of optimal feature vectors according to the flatness.
Dividing each roll of gauze into a plurality of gauze samples in the step S100, obtaining a sample image corresponding to each gauze sample, and obtaining a plurality of concave-convex sequences according to pixel values of pixel points in the sample image; and obtaining corresponding concave-convex values according to the range in each concave-convex sequence, wherein the plurality of concave-convex values form the concave-convex value sequence corresponding to the gauze sample.
Specifically, a sizing machine performs sizing on the same gauze roll, if the surface of the gauze roll is smooth and flat after sizing is uniform, each gauze sample is subjected to image acquisition to obtain a sample image of each gauze sample, in order to improve the accuracy of analysis, each column of each sample image is analyzed in the embodiment of the invention, a concave-convex sequence is formed according to the pixel value corresponding to each column in the sample image, elements in the concave-convex sequence are arranged in a descending order, and a plurality of elements with the numerical values in the sequence in front of the numerical value sequence and the element with the minimum numerical value are selected to calculate the concave-convex value corresponding to the column; preferably, in the embodiment of the present invention, the first three elements in the concave-convex sequence sorted in the descending order are selected for calculation, and then the concave-convex values corresponding to the row are:
wherein,
represents a value of concavity and convexity;
representing a concave-convex sequence
The value of the middle ranking 1 st element, i.e., the largest element value;
representing a relief sequence
The value of the middle-ordered 2-th element;
representing a relief sequence
The value of the middle ranking 3 element;
representing a relief sequence
The smallest element value.
The larger the obtained concave-convex value is, the larger the difference of the pixel values corresponding to the row is, that is, the flatness of the gauze at the position corresponding to the row is poor.
Further, acquiring concave-convex values corresponding to each row of pixels in each sample image to form a concave-convex value sequence; acquiring the variance of all elements in the concave-convex value sequence, wherein the flatness and the variance are in a negative correlation relationship; and selecting the flatness corresponding to the flatness within a preset range, wherein the characteristic vector of the gauze sample corresponding to the flatness is the preferred characteristic vector.
Specifically, calculating the reciprocal of the variance of all elements in the concave-convex value sequence to be used for representing the flatness of the gauze sample corresponding to the current sample image; the larger the variance, the worse the flatness of the gauze sample. In the embodiment of the present invention, each roll of gauze corresponds to 10 gauze samples, and each gauze sample corresponds to one flatness, so that each roll of gauze can correspond to one flatness sequence represented as:
wherein,
representing the flatness sequence corresponding to the rolled yarn cloth;
representing the flatness corresponding to the 1 st gauze sample in the roll of gauze;
representing the flatness corresponding to the 2 nd gauze sample in the roll of gauze;
indicating the flatness corresponding to the 10 th sample of the roll of gauze.
The larger the flatness is, the better the effect of sizing the reeled yarn cloth in the sizing machine is, a plurality of values of the flatness in the flatness sequence within the preset range are selected as candidate values, and the feature vector of the gauze sample corresponding to the candidate values is the preferred feature vector.
Preferably, in the embodiment of the present invention, the preset range is set as the first three values with the largest numerical value in the flatness sequence, that is, the three values with the largest flatness are selected as candidate values, the gauze sample corresponding to the candidate values is a preferred gauze sample, and the feature vector corresponding to the gauze sample is a preferred feature vector, that is, three preferred feature vectors are obtained according to the flatness.
Step S400, acquiring a reference characteristic vector in the historical data, and obtaining a standard characteristic vector according to the reference characteristic vector, the characteristic vector and the candidate characteristic vector; obtaining an optimal feature vector based on the similarity of the standard feature vector and the plurality of preferred feature vectors; and regulating and controlling the sizing machine according to the optimal characteristic vector.
Specifically, in the process of actually sizing gauze by using the slasher, a worker usually sets parameters of the slasher according to experience, in the embodiment of the invention, experience data of the slasher, namely experience values of the slurry concentration, the slurry temperature and the slashing speed, are obtained through historical data, and corresponding feature vectors are formed according to the experience data and are recorded as reference feature vectors.
In the embodiment of the present invention, the standard feature vector is obtained by the candidate feature vector obtained in step S200, the real-time feature vector obtained in step S100, and the obtained reference feature vector. Calculating the mean value of a plurality of eigenvectors corresponding to each roll of gauze, obtaining the ratio of the mean value of the eigenvectors to the candidate eigenvectors as a weight, and obtaining the product of the weight and the reference eigenvector to obtain the standard eigenvector.
Firstly, processing the feature vector corresponding to each gauze sample obtained in step S100, calculating a mean value of ten feature vectors corresponding to each roll of gauze, that is, a mean value of each element in the feature vector, and calculating the feature vector formed by the mean value of each element as a real-time feature vector.
Then, the standard feature vector obtained according to the candidate feature vector, the feature vector and the reference feature vector is:
wherein,
representing a standard feature vector;
representing the feature vector acquired in real time, namely the mean value of a plurality of feature vectors corresponding to each roll of gauze;
representing candidate feature vectors;
representing the reference feature vector.
It should be noted that, in the embodiment of the present invention, the calculation between the feature vectors is the calculation between each element in the feature vector, that is, the element values obtained by performing the respective calculation according to each element constitute the standard feature vector.
Furthermore, since the size temperature has a certain influence on the size concentration, the size temperature and the sizing speed in the standard feature vector may not exist at the same time, and the parameter value of the standard feature vector is only an ideal value, so that the screening is performed in a plurality of preferred feature vectors corresponding to the sizing machine, which have good gauze sizing flatness, to obtain the similarity between each preferred feature vector and the standard feature vector, and the corresponding preferred feature vector is the best feature vector when the similarity is the maximum.
Specifically, the similarity between the 3 preferred feature vectors obtained in step S300 and the standard feature vector is as follows:
wherein,
is shown as
Similarity between the preferred feature vector and the standard feature vector;
is shown as
A preferred feature vector;
representing a standard feature vector;
is shown as
Similarity between the preferred feature vector and the standard feature vector;
is shown as
A preferred feature vector;
is shown as
Similarity between the preferred feature vector and the standard feature vector;
is shown as
A preferred feature vector;
representing cosine similarity between feature vectors.
The greater the similarity between the preferred characteristic vector and the standard characteristic vector, the closer the parameter setting of the sizing machine is, so that the preferred characteristic vector with the maximum similarity with the standard characteristic vector is selected as the optimal characteristic vector, the corresponding slurry concentration, slurry temperature and sizing speed in the optimal characteristic vector are the optimal parameters, that is, the sizing effect on the gauze is optimal under the optimal parameter setting, and the sizing machine is regulated according to the optimal parameters.
In summary, in the embodiment of the present invention, a roll of gauze is divided into a plurality of gauze samples for analysis, a corresponding slurry temperature and a slurry concentration of each gauze sample when being immersed in a sizing machine and a sizing speed of a winding shaft are obtained, and a feature vector of each gauze sample is formed by the slurry temperature, the slurry concentration and the sizing speed. And further analyzing the temperature of the serous fluid of each gauze sample to obtain the temperature stability of the rolled gauze, taking the gauze with higher temperature stability as a candidate gauze, and forming a candidate eigenvector by using the parameter with the largest occurrence frequency corresponding to all the gauze samples in the candidate gauze. And obtaining the flatness corresponding to each gauze sample based on image processing of each gauze sample, and selecting the feature vector corresponding to the gauze sample with larger flatness as the preferred feature vector. The method comprises the steps of obtaining a reference feature vector according to historical data, obtaining a standard feature vector by combining the feature vector obtained in real time and a candidate feature vector, calculating the similarity of a plurality of preferred feature vectors and the standard feature vector, wherein the preferred feature vector corresponding to the maximum similarity is the optimal feature vector, and controlling the slasher according to parameters in the optimal feature vector, so that the reliability of obtaining data of the slasher is improved, and the sizing efficiency is improved.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. A sizing quality adjusting and controlling method of a sizing machine based on computer aided design is characterized by comprising the following steps:
dividing any roll of gauze into a plurality of gauze samples, and acquiring the size temperature and the size concentration of each gauze sample when the gauze sample is immersed in a sizing machine and the size speed of a winding shaft corresponding to each gauze sample; forming a feature vector for each of the gauze samples with the slurry temperature, the slurry concentration, and the slashing speed;
forming a serous fluid temperature sequence according to the serous fluid temperatures corresponding to all the gauze samples; obtaining the temperature stability of each roll of the gauze according to the temperature sequence of the serous fluid; acquiring temperature stability sequences corresponding to all the gauzes, acquiring candidate stability according to element differences in the temperature stability sequences, and acquiring corresponding candidate feature vectors according to the candidate stability;
acquiring a concave-convex value sequence corresponding to each gauze sample, acquiring the flatness of each gauze sample based on the concave-convex value sequence, and acquiring a plurality of preferred characteristic vectors according to the flatness;
acquiring a reference feature vector in historical data, and obtaining a standard feature vector according to the reference feature vector, the feature vector and the candidate feature vector; obtaining an optimal feature vector based on the similarity of the standard feature vector and the plurality of preferred feature vectors; regulating and controlling the sizing machine according to the optimal characteristic vector;
the step of obtaining the concave-convex value sequence corresponding to each gauze sample comprises the following steps:
obtaining a sample image corresponding to each gauze sample, and obtaining a plurality of concave-convex sequences according to pixel values of pixel points in the sample image; and obtaining corresponding concave-convex values according to the range in each concave-convex sequence, wherein the plurality of concave-convex values form the concave-convex value sequence corresponding to the gauze sample.
2. The method of claim 1 wherein said step of deriving the temperature stability of each roll of said gauze from said slurry temperature sequence comprises:
the method for acquiring the temperature stability comprises the following steps:
wherein,
indicating temperature stability;
represents the length of the slurry temperature sequence;
indicates the second in the temperature series of the slurry
An element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element;
indicates the temperature of the slurry
The temperature of the slurry corresponding to each element.
3. The method of claim 1, wherein the step of obtaining the corresponding candidate eigenvector according to the candidate stability comprises:
the gauze corresponding to the candidate stability is obtained, a plurality of corresponding gauze samples are obtained according to the gauze, a plurality of characteristic vectors corresponding to the gauze samples are obtained, and the numerical value when the occurrence frequency of each element in the characteristic vectors is the maximum forms a new characteristic vector to serve as the candidate characteristic vector.
4. The method of claim 1, wherein the step of deriving a flatness of each of the gauze samples based on the sequence of values of the relief values, and deriving a plurality of preferred feature vectors based on the magnitude of the flatness comprises:
acquiring the variance of all elements in the concave-convex value sequence, wherein the flatness and the variance are in a negative correlation relationship; and selecting the flatness corresponding to the flatness within a preset range, wherein the feature vector of the gauze sample corresponding to the flatness is the preferred feature vector.
5. The method of claim 1, wherein the step of deriving a standard eigenvector from the reference eigenvector, the eigenvector, and the candidate eigenvector comprises:
calculating the mean value of a plurality of characteristic vectors corresponding to each roll of gauze, obtaining the ratio of the mean value of the characteristic vectors to the candidate characteristic vectors as a weight, and obtaining the standard characteristic vector by multiplying the weight by the reference characteristic vector.
6. The method of claim 1, wherein the step of deriving the optimal eigenvector based on the similarity between the standard eigenvector and the plurality of preferred eigenvectors comprises:
and acquiring the similarity between each preferred feature vector and the standard feature vector, wherein the preferred feature vector corresponding to the maximum similarity is the optimal feature vector.
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