CN114881514B - Bobbin yarn weight estimation method and related device - Google Patents
Bobbin yarn weight estimation method and related device Download PDFInfo
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Abstract
The application discloses a bobbin yarn weight estimation method, which relates to the spinning field, and comprises the following steps: calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller; according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed; carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm; screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters. The method can realize tool-free online estimation, has high precision, and is not influenced by factors such as spinning modification, process parameter modification and the like. The application also discloses a bobbin yarn weight estimation device, equipment and a computer readable storage medium, which have the technical effects.
Description
Technical Field
The application relates to the technical field of spinning, in particular to a bobbin yarn weight estimation method; also relates to a bobbin yarn weight estimation device, equipment and a computer readable storage medium.
Background
Currently, in the spinning field, the weight of bobbin yarn fruits of a ring spinning frame is mainly obtained by a method of manually weighing and averaging, namely, a plurality of full bobbin yarn fruits are manually and randomly selected, and then the weight of yarn fruits is calculated by the method of weighing and averaging. However, the measurement accuracy of the conventional method is limited, and when the machine is changed to spin, lift, molding process parameters, etc., the manual weighing again is required to confirm. The traditional method has lower measurement precision and lower efficiency.
In view of this, providing a high-precision and high-efficiency solution for measuring and calculating the weight of the fruits has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a cone yarn weight estimation method which can accurately and efficiently estimate the cone yarn weight. Another object of the present application is to provide a bobbin yarn weight estimating device, apparatus and computer readable storage medium, all having the above technical effects.
In order to solve the technical problems, the application provides a bobbin yarn weight estimation method, which comprises the following steps:
calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller;
according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed;
carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm;
screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
Optionally, the screening the clusters in the cluster center set obtained by the cluster analysis according to the theoretical maximum yield, and determining the estimated value of the weight of the yarn fruits according to the screened clusters includes:
removing clusters with the modulus larger than the theoretical maximum yield in the cluster center set obtained by cluster analysis;
and screening the cluster with the most sample points from the clusters remained in the cluster center set, and taking the mode of the cluster with the most sample points as the estimated value of the quality of the yarn fruits.
Optionally, the calculating to obtain the theoretical maximum output of the single spindle when doffing is completed according to the pulse number of the front roller comprises:
according toCalculating to obtain the theoretical maximum yield of the single ingot;
Q d is the theoretical maximum yield of single ingot, L d ＝T d /Δt，T d Is doffing time length, delta t is timing step length, F r The pulse number N of the front roller is actually measured r For measuring the speed and the number of teeth of the front roller D r Is the diameter of the front roller, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
Optionally, according to the rotation speed of the single spindle, calculating to obtain the yarn weight of the single spindle when doffing is completed includes:
according toCalculating to obtain the real-time yield of the single ingot;
taking the real-time yield of the single spindle when doffing is completed as the weight of the yarn fruits of the single spindle when doffing is completed;
Q i for real-time yield of single ingot, L i ＝T i /Δt，T i For spinning time of single spindle, delta t is timing step length, n i For the rotation speed of the ith spindle, T w To design twist, K inch2mm Representing conversion coefficient between English system unit inch and metric system unit millimeter, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
Optionally, the method further comprises:
the yield loss of a single spindle during a doffing process is calculated.
Optionally, the calculating the yield loss of the single spindle in the doffing process includes:
according toCalculating to obtain yield loss of single ingots in the doffing process;
Q i,brk for loss of yield of single ingots, L i,brk ＝T i,brk /Δt，T i,brk For the single spindle yarn-breaking time length, delta t is the timing step length, n ref Is the reference ingot speed, and n ref ＝F m ×60×D m /D t /N m ，F m For the measured number of main axis pulses, D m Is the diameter of the main shaft, D t To spindle tape disk diameter, N m For measuring the number of teeth of the main shaft, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
Optionally, the method further comprises:
and uploading parameters comprising the estimated value of the weight of the yarn fruits to a cloud computing database.
In order to solve the technical problem, the application also provides a bobbin yarn weight estimation device, which comprises:
the first calculation module is used for calculating and obtaining the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller;
the second calculation module is used for calculating and obtaining the weight of the yarn fruits of the single spindle when doffing is completed according to the rotating speed of the single spindle;
the cluster analysis module is used for carrying out cluster analysis on the weight of each yarn fruit by adopting a cluster algorithm;
and the fusion estimation module is used for screening clusters in the cluster center set obtained by the cluster analysis according to the theoretical maximum yield and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
In order to solve the technical problem, the application also provides a cone cop weight estimation device, which comprises:
a memory for storing a computer program;
a processor for implementing the steps of the cop weight estimation method of any one of the above when executing the computer program.
To solve the above technical problem, the present application further provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the cop weight estimation method according to any one of the above.
The application provides a cone weight estimation method, which comprises the following steps: calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller; according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed; carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm; screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
Therefore, different from the traditional technical scheme of measuring and calculating the weight of the yarn fruits by manual weighing, the creel yarn fruit weight estimation method provided by the application is used for automatically calculating and obtaining the theoretical maximum yield of the single spindle and the yarn fruit weight of the single spindle when doffing is finished by taking the pulse number of the front roller of the spinning machine and the rotating speed of the single spindle as the basis respectively. The weight of the yarn fruits is taken as a sample, the theoretical maximum yield of a single spindle is taken as a reference, and the estimated value of the weight of the yarn fruits is finally determined by adopting a clustering algorithm, so that the tool-free online estimation can be realized, the precision is high, and the influence of factors such as spinning modification and technological parameter change is avoided.
The cone weight estimation device, the cone weight estimation equipment and the computer readable storage medium provided by the application have the technical effects.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required in the prior art and the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for estimating the weight of bobbin yarn according to an embodiment of the present application;
FIG. 2 is a schematic view of a weight-based cluster analysis of bobbin yarn fruits according to an embodiment of the present application;
FIG. 3 is a schematic diagram of on-line estimation and cloud management of bobbin yarn weight according to an embodiment of the present application;
FIG. 4 is a schematic view of a bobbin yarn weight estimating device according to an embodiment of the present application;
fig. 5 is a schematic view of a bobbin yarn weight estimating apparatus according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a bobbin yarn weight estimation method which can accurately and efficiently estimate the bobbin yarn weight. Another core of the present application is to provide a bobbin yarn weight estimating device, apparatus and computer readable storage medium, which all have the above technical effects.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, fig. 1 is a flowchart of a method for estimating weight of bobbin yarn according to an embodiment of the application, and referring to fig. 1, the method includes:
s101: calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller;
the front roller pulse number of the ring spinning frame can be measured by a proximity sensor. At a well-defined moisture regain, for a yarn weighing 1 pound, the length is as many as 840 yards, defining how many counts the fineness of the yarn is. Thus, the maximum theoretical yield of a single spindle of a spinning frame of a certain type at the completion of doffing in a certain process is essentially determined for a certain count of yarns. A single spindle is a short term for a single spindle. The method aims at determining the theoretical maximum yield of the single spindle when doffing is completed on line according to the pulse number of the front roller so as to finally determine the estimated value of the weight of the yarn fruits by taking the theoretical maximum yield of the single spindle as a reference.
In some embodiments, calculating the theoretical maximum yield of a single spindle at the completion of doffing based on the number of front roller pulses comprises:
according toCalculating to obtain the theoretical maximum yield of the single ingot;
Q d the theoretical maximum yield of a single ingot is expressed in g; l (L) d ＝T d /Δt，T d Is doffing time length, unit is minute, delta t is timing step length, F r The unit is Hz for the pulse number of the actually measured front roller; n (N) r The number of teeth is measured for the front roller; d (D) r The diameter of the front roller is mm; constant pi=3.14; n (N) e For yarn count, K L2Q = 0.5906, representing the conversion coefficient between cotton yarn length and weight.
When the deltat is 1 minute,
s102: according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed;
the rotating speed of the single ingot can be acquired by an ingot speed acquisition system. The method for collecting the ingot speed by the ingot speed collecting system is not repeated herein, and any one of the existing ingot speed collecting methods can be referred to.
In some embodiments, calculating the weight of the yarn of the single spindle at the completion of doffing based on the rotational speed of the single spindle comprises:
according toCalculating to obtain the real-time yield of the single ingot;
taking the real-time yield of the single spindle when doffing is completed as the weight of the yarn fruits of the single spindle when doffing is completed;
Q i as a single ingotReal-time yield, i.e. the real-time yield of the ith spindle, in g; l (L) i ＝T i /Δt，T i The spinning time is single-spindle spinning time length, the unit is minutes, and delta t is the timing step length; n is n i The rotation speed of the ith spindle is rpm; t (T) w To design twist; k (K) inch2mm =25.4, representing the conversion coefficient between english unit inch and metric unit millimeter, N e For yarn count, K L2Q = 0.5906, representing the conversion coefficient between cotton yarn length and weight.
When doffing is not performed, the real-time yield of the single ingot can be measured on line according to the real-time yield calculation mode of the single ingot. When doffing is completed, i.e. L i ＝L d ，Q i Is the actual maximum yield of a single ingot.
S103: carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm;
by executing step S102, the weight of the yarn result at the completion of doffing can be obtained for each spindle. And taking the weight of each yarn fruit as a sample, and adopting a clustering algorithm to perform clustering analysis. And determining the estimated value of the weight of the final yarn fruits based on the theoretical maximum yield and the clustering analysis result.
The clustering algorithm may be a Mean Shift algorithm. The Mean Shift algorithm is essentially a process of finding local optima by probability density climbing, with adaptive incremental iterations. The Mean Shift algorithm does not need to know probability density distribution of sample data in advance, and the cluster center is obtained by continuously calculating Mean Shift of sample points and center points in the bandwidth, moving the center points along the Mean Shift vector direction, repeating the steps until the Mean Shift converges, and finally reaching the local most dense area.
Referring to fig. 2, using the weight of the cones as a sample, the clustering analysis using the Mean Shift algorithm is as follows:
randomly selecting a certain weight of the yarn fruit as an initial center point, which can be marked as C 0 The method comprises the steps of carrying out a first treatment on the surface of the In addition, the bandwidth is selected and denoted as h.
Calculating a drift vector:M h as drift vector, x i Is a sample, S h In the case of a circular sliding window with x as the center and h as the radius, k is the number of sample points in the sliding window.
In I M h I represents the movement step size, drift vector M h The direction of (a) is the moving direction, and the center point is updated:
is the updated center point.
Repeating the steps of calculating the drift vector and updating the neutral point until M h And epsilon is a design threshold value, and the current cluster center is recorded as C-.
Center C of the current cluster - With cluster center set { C i Comparison, C i Representing the i-th cluster. If C - -C i And if the delta is more than delta, updating the cluster center set, and otherwise, performing marking confirmation. When all the spindle yarn weights are accessed by the mark, stopping the withdrawal, otherwise repeating the above process until the mark is completed.
S104: screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
In order to reduce the influence of disturbance factors such as forming process parameters (such as preset spinning length, limit, twisting shrinkage and the like), lift lifting stroke, mechanical transmission efficiency, strong and weak twisting spindles and the like on the cone weight estimation, the embodiment adopts a fusion estimation mode, and determines the final estimated value of the cone weight by comprehensively analyzing the theoretical maximum yield of a single spindle and the clustering analysis result, so that the accuracy and the reliability of the cone weight estimation are greatly improved.
In some embodiments, the screening the clusters in the cluster center set obtained by the cluster analysis according to the theoretical maximum yield, and determining the estimated value of the weight of the yarn fruits according to the screened clusters includes:
removing clusters in the cluster center set, wherein the clusters are larger than the theoretical maximum yield of the single ingot;
and screening the cluster with the most sample points from the clusters remained in the cluster center set, and taking the mode of the cluster with the most sample points as the estimated value of the quality of the yarn fruits.
I.e. reject cluster center set { C } i In C i I is greater than Q d Is a cluster of (a); screening out the cluster C with the most sample points in the cluster from the rest clusters in the cluster center set * And C * And I is an estimated value of the weight of the yarn fruits.
In some embodiments, further comprising:
the yield loss of a single spindle during a doffing process is calculated.
Referring to fig. 3, on the basis of the spindle rotation speed, whether yarn breakage occurs is judged based on the spindle rotation speed. If the yarn is broken, the yield loss of the single spindle in the doffing process is further calculated. The method for judging whether the yarn is broken based on the spindle rotation speed is not repeated herein, and any existing yarn breaking judging method can be referred to.
Wherein, in the process of calculating a doffing, the yield loss of the single spindle can comprise:
according toCalculating to obtain yield loss of single ingots in the doffing process;
Q i,brk yield loss of single ingot, unit is g; l (L) i,brk ＝T i,brk /Δt，T i,brk The yarn breaking time is a single spindle yarn breaking time length, the unit is minutes, and delta t is a timing step length; n is n ref Is the reference ingot speed, and n ref ＝F m ×60×D m /D t /N m ；F m The unit is Hz for the measured number of main shaft pulses; d (D) m The diameter of the main shaft is in mm; d (D) t The spindle tape is provided with a diameter in mm; n (N) m For measuring the speed and the number of teeth of the main shaft, T w To design twist, N e For yarn count, K L2Q = 0.5906, representing the conversion coefficient between cotton yarn length and weight.
To provide technical support for achieving digital intelligence in spinning, in some embodiments, the method further comprises:
and uploading parameters comprising the estimated value of the weight of the yarn fruits to a cloud computing database.
The parameters uploaded to the cloud computing database may include variety parameters, process parameters, equipment parameters, and the like, in addition to the estimated value of the weight of the yarn fruits. Therefore, by storing the parameters, the spinning improvement or trial spinning effect prediction can be better guided.
In summary, according to the method for estimating the weight of the cone yarn, the theoretical maximum yield of the single spindle and the weight of the cone yarn of the single spindle when doffing is completed are automatically calculated based on the pulse number of the front roller of the spinning machine and the rotating speed of the single spindle. The weight of the yarn fruits is taken as a sample, the theoretical maximum yield of a single spindle is taken as a reference, and the estimated value of the weight of the yarn fruits is finally determined by adopting a clustering algorithm, so that the tool-free online estimation can be realized, the precision is high, and the influence of factors such as spinning modification and technological parameter change is avoided.
The application also provides a device for estimating the weight of bobbin yarn, which device is described below and can be referred to in correspondence with the method described above. Referring to fig. 4, fig. 4 is a schematic diagram of a bobbin yarn weight estimating device according to an embodiment of the application, and referring to fig. 4, the device includes:
the first calculation module 10 is used for calculating and obtaining the theoretical maximum output of a single spindle when doffing is completed according to the pulse number of the front roller;
the second calculating module 20 is configured to calculate the weight of the yarn fruit of the single spindle when doffing is completed according to the rotation speed of the single spindle;
the cluster analysis module 30 is used for carrying out cluster analysis on the weight of each yarn fruit by adopting a cluster algorithm;
and the fusion estimation module 40 is used for screening the clusters in the cluster center set obtained by the cluster analysis according to the theoretical maximum yield and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
Based on the above embodiment, as a specific implementation manner, the fusion estimation module 40 includes:
the rejecting unit is used for rejecting clusters with the middle modulus larger than the theoretical maximum yield in the cluster center set obtained by cluster analysis;
and the screening unit is used for screening the cluster with the most sample points from the clusters remained in the cluster center set, and taking the mode of the cluster with the most sample points as the estimated value of the quality of the yarn fruits.
On the basis of the above embodiment, as a specific implementation manner, the first computing module 10 is specifically configured to:
according toCalculating to obtain the theoretical maximum yield of the single ingot;
Q d is the theoretical maximum yield of single ingot, L d ＝T d /Δt，T d Is doffing time length, delta t is timing step length, F r The pulse number N of the front roller is actually measured r For measuring the speed and the number of teeth of the front roller D r Is the diameter of the front roller, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
On the basis of the above embodiment, as a specific implementation manner, the first computing module 20 is specifically configured to:
according toCalculating to obtain the real-time yield of the single ingot;
taking the real-time yield of the single spindle when doffing is completed as the weight of the yarn fruits of the single spindle when doffing is completed;
Q i for real-time yield of single ingot, L i ＝T i /Δt，T i For spinning time of single spindle, delta t is timing step length, n i For the rotation speed of the ith spindle, T w To design twist, K inch2mm Representing conversion coefficient between English system unit inch and metric system unit millimeter, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
On the basis of the above embodiment, as a specific implementation manner, the method further includes:
and the third calculation module is used for calculating the yield loss of the single ingot in the doffing process.
On the basis of the foregoing embodiment, as a specific implementation manner, the third computing module is specifically configured to:
according toCalculating to obtain yield loss of single ingots in the doffing process;
Q i,brk for loss of yield of single ingots, L i,brk ＝T i,brk /Δt，T i,brk For the single spindle yarn-breaking time length, delta t is the timing step length, n ref Is the reference ingot speed, and n ref ＝F m ×60×D m /D t /N m ，F m For the measured number of main axis pulses, D m Is the diameter of the main shaft, D t To spindle tape disk diameter, N m For measuring the number of teeth of the main shaft, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
On the basis of the above embodiment, as a specific implementation manner, the method further includes:
and the transmission module is used for uploading parameters comprising the estimated value of the weight of the yarn fruits to a cloud computing database.
The cone yarn weight estimation device provided by the application is used for automatically calculating and obtaining the theoretical maximum output of a single spindle and the yarn weight of the single spindle when doffing is finished based on the pulse number of the front roller of the spinning machine and the rotating speed of the single spindle. The weight of the yarn fruits is taken as a sample, the theoretical maximum yield of a single spindle is taken as a reference, and the estimated value of the weight of the yarn fruits is finally determined by adopting a clustering algorithm, so that the tool-free online estimation can be realized, the precision is high, and the influence of factors such as spinning modification and technological parameter change is avoided.
The application also provides a cop weight estimation device, as shown with reference to figure 5, comprising a memory 1 and a processor 2.
A memory 1 for storing a computer program;
a processor 2 for executing a computer program to perform the steps of:
calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller; according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed; carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm; screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
For the description of the apparatus provided by the present application, refer to the above method embodiment, and the description of the present application is omitted herein.
The present application also provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller; according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed; carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm; screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
For the description of the computer-readable storage medium provided by the present application, refer to the above method embodiments, and the disclosure is not repeated here.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the apparatus, device and computer readable storage medium of the embodiment disclosure, since it corresponds to the method of the embodiment disclosure, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method, the device, the equipment and the computer readable storage medium for estimating the weight of the cop provided by the application are described in detail above. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the principles of the application, which are also intended to fall within the scope of the appended claims.
Claims (7)
1. A method of estimating the weight of a bobbin yarn, comprising:
calculating to obtain the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller;
according to the rotating speed of the single spindle, calculating to obtain the weight of the yarn fruits of the single spindle when doffing is completed;
carrying out clustering analysis on the weight of each yarn fruit by adopting a clustering algorithm;
screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters;
screening clusters in the cluster center set obtained by cluster analysis according to the theoretical maximum yield, and determining an estimated value of the weight of the yarn fruits according to the screened clusters comprises the following steps:
removing clusters with the modulus larger than the theoretical maximum yield in the cluster center set obtained by cluster analysis;
screening the cluster with the most sample points from the clusters remained in the cluster center set, and taking the mode of the cluster with the most sample points as the estimated value of the quality of the yarn fruits;
the theoretical maximum yield of a single spindle when doffing is completed is calculated according to the pulse number of the front roller, and the theoretical maximum yield comprises the following steps:
according toCalculating to obtain the theoretical maximum yield of the single ingot;
Q d is the theoretical maximum yield of single ingot, L d ＝T d /Δt，T d Is doffing time length, delta t is timing step length, F r The pulse number N of the front roller is actually measured r For measuring the speed and the number of teeth of the front roller D r Is the diameter of the front roller, N e For yarn count, K L2Q The conversion coefficient between the length and the weight of the cotton spun yarn;
according to the rotation speed of the single spindle, the weight of the single spindle yarn when doffing is completed is calculated and obtained, and the method comprises the following steps:
according toCalculating to obtain the real-time yield of the single ingot;
taking the real-time yield of the single spindle when doffing is completed as the weight of the yarn fruits of the single spindle when doffing is completed;
Q i for real-time yield of single ingot, L i ＝T i /Δt，T i For spinning time of single spindle, delta t is timing step length, n i For the rotation speed of the ith spindle, T w To design twist, K inch2mm Representing conversion coefficient between English system unit inch and metric system unit millimeter, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
2. The method of claim 1, further comprising:
the yield loss of a single spindle during a doffing process is calculated.
3. The method of claim 2, wherein calculating a yield loss of a single spindle during a doffing process comprises:
according toCalculating to obtain yield loss of single ingots in the doffing process;
Q i,brk for loss of yield of single ingots, L i,brk ＝T i,brk /Δt，T i,brk For the single spindle yarn-breaking time length, delta t is the timing step length, n ref Is the reference ingot speed, and n ref ＝F m ×60×D m /D t /N m ，F m For the measured number of main axis pulses, D m Is the diameter of the main shaft, D t To spindle tape disk diameter, N m For measuring the number of teeth of the main shaft, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
4. The method of claim 1, further comprising:
and uploading parameters comprising the estimated value of the weight of the yarn fruits to a cloud computing database.
5. A bobbin yarn weight estimation device, comprising:
the first calculation module is used for calculating and obtaining the theoretical maximum yield of a single spindle when doffing is completed according to the pulse number of the front roller;
the second calculation module is used for calculating and obtaining the weight of the yarn fruits of the single spindle when doffing is completed according to the rotating speed of the single spindle;
the cluster analysis module is used for carrying out cluster analysis on the weight of each yarn fruit by adopting a cluster algorithm;
the fusion estimation module is used for screening clusters in the cluster center set obtained by the cluster analysis according to the theoretical maximum yield and determining an estimated value of the weight of the yarn fruits according to the screened clusters;
the fusion estimation module comprises:
the rejecting unit is used for rejecting clusters with the middle modulus larger than the theoretical maximum yield in the cluster center set obtained by cluster analysis;
the screening unit is used for screening the cluster with the most sample points from the clusters remained in the cluster center set, and taking the mode of the cluster with the most sample points as the estimated value of the quality of the yarn fruits;
the first computing module is specifically configured to:
according toCalculating to obtain the theoretical maximum yield of the single ingot;
Q d is the theoretical maximum yield of single ingot, L d ＝T d /Δt，T d Is doffing time length, delta t is timing step length, F r The pulse number N of the front roller is actually measured r For measuring the speed and the number of teeth of the front roller D r Is the diameter of the front roller, N e For yarn count, K L2Q The conversion coefficient between the length and the weight of the cotton spun yarn;
the first computing module is specifically configured to:
according toCalculating to obtain the real-time yield of the single ingot;
taking the real-time yield of the single spindle when doffing is completed as the weight of the yarn fruits of the single spindle when doffing is completed;
Q i for real-time yield of single ingot, L i ＝T i /Δt，T i For spinning time of single spindle, delta t is timing step length, n i For the rotation speed of the ith spindle, T w To design twist, K inch2mm Representing conversion coefficient between English system unit inch and metric system unit millimeter, N e For yarn count, K L2Q Is the conversion coefficient between the length and the weight of the cotton spun yarn.
6. A bobbin yarn weight estimation device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the cop weight estimation method according to any one of claims 1 to 4 when executing the computer program.
7. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the cop weight estimation method according to any one of claims 1 to 4.
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