A control system based on the distribution of initial and final speeds of winding machine

Abstract

The present invention relates to the technical field of winding of a winding machine, and in particular to a control system based on the distribution of the initial and final speeds of the winding machine, comprising an input unit; a control unit, coupled to the input unit, for calculating a stepped curve with increasing speed; an execution unit, coupled to the control unit, for gradually increasing the linear speed of the winding machine according to the calculated stepped curve, wherein the control unit further comprises a dynamic optimization module, which adjusts the formula in real time according to the yarn tension and winding characteristics to achieve the most optimized winding speed distribution; through the precise distribution and adaptive adjustment of the initial and final speeds of the winding machine, the accuracy and adaptive ability of speed control are improved, the occurrence of the problem of white spot color difference in the inner layer is effectively avoided, and at the same time, fault prediction and diagnosis capabilities are provided, the production efficiency and product quality are improved, and significant technical advantages and economic benefits are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of winding machine winding, in particular to a control system based on the distribution of the initial and final speeds of the winding machine. Background Art

[0002] In the textile industry, the winder is a key device used to wind the yarn onto the bobbin. Traditional winders have some problems during the winding process, such as insufficient tension of the inner layer yarn leading to uneven dyeing and the appearance of white spots in the inner layer. These problems limit the application of winders in the production of high-quality textiles.

[0003] The speed control of traditional winding machines is relatively simple and often cannot adapt to the needs of different yarn types and winding requirements. During use, the speed control device of the winding machine has the following problems: the speed control is not accurate enough, resulting in unstable yarn tension during winding, thus affecting the dyeing effect. The speed control lacks adaptive ability and cannot adjust the speed in real time according to the yarn tension and winding characteristics, resulting in the problem of white spot color difference in the inner layer during operation. The speed control lacks fault prediction and diagnosis capabilities, and cannot promptly detect and handle abnormal conditions in the winding process, affecting production efficiency and product quality. Summary of the invention

[0004] In view of the above problems or problems existing in the prior art, the present invention is proposed.

[0005] Therefore, an object of the present invention is to provide a control system based on the distribution of the initial and final speeds of a winding machine.

[0006] To solve the above technical problems, the present invention provides the following technical solution: comprising: an input unit for receiving a starting speed V input by a user start , terminal speed V end And the percentage stroke value P during acceleration step ;

[0007] A control unit, coupled to the input unit, for calculating a step-type curve with increasing speed;

[0008] an execution unit, coupled to the control unit, for gradually increasing the linear speed of the winding machine according to the calculated step curve;

[0009] The calculation formula of the step-type curve with increasing speed is:

[0010] ;

[0011] Among them, V current is the current speed, N is the current acceleration stage;

[0012] The control unit further includes a dynamic optimization module, which adjusts the P in the formula in real time according to the yarn tension and winding characteristics. step value to achieve the optimal winding speed distribution.

[0013] As a preferred solution of the control system based on the winder initial and final speed distribution of the present invention, the input unit further includes an interface for setting multiple acceleration stages, each stage having an independent starting speed V start，i and terminal speed V end，i , and the speed increment in each stage is dynamically calculated according to the following formula:

[0014] ;

[0015] in, is the velocity increment of the i-th stage, P step，i is the percentage stroke value of the i-th stage.

[0016] As a preferred solution of the control system based on the initial and final speed distribution of the winding machine of the present invention, the control unit includes a speed planning module, which automatically adjusts the step curve according to the characteristics of the yarn and the winding requirements, and realizes the smooth transition of the acceleration process through the following formula:

[0017] ;

[0018] in, is the acceleration of the i-th stage, is the acceleration time of the i-th stage.

[0019] As a preferred solution of the control system based on the initial and final speed distribution of the winding machine of the present invention, the execution unit includes a driving device and a sensor, the driving device adjusts the running speed of the winding machine according to the instruction of the control unit, the sensor monitors and feeds back the running state of the winding machine in real time, and realizes closed-loop control through the following formula;

[0020] e=V current -V actual

[0021] Where, e is the velocity error, V actual is the actual monitored speed.

[0022] As a preferred solution of the control system based on the winder's initial and final speed distribution of the present invention, the control system further includes a fault diagnosis module for detecting and reporting abnormal conditions of the winder during the winding process, and performing fault prediction through the following formula;

[0023] F=f(V current , T, σ)

[0024] Where F is the fault prediction index, T is the equipment temperature, and σ is the standard deviation of yarn tension.

[0025] As a preferred solution of the control system based on the winder's initial and final speed distribution of the present invention, the control system further includes a data storage module for recording speed change data and historical operation records during the winding process, and performing data analysis through the following formula;

[0026] ;

[0027] in, is the optimized velocity increment, V data is the speed dataset, T data is a time dataset.

[0028] As a preferred solution of the control system based on the winder end-to-end speed distribution of the present invention, wherein: the data storage module further includes a data preprocessing unit, which preprocesses the speed change data and historical operation records in the winding process through the following creative formula to improve the accuracy of data analysis;

[0029] ;

[0030] in, is the normalized speed data after preprocessing, is the original speed data, μ is the average value of the original speed data, σ is the standard deviation of the original speed data, and the data preprocessing unit also includes a time series analysis module, which can identify and eliminate outliers in the data through the following formula;

[0031] ;

[0032] Among them, outlier is a set of outliers, is the ith normalized velocity data point, is the average value of the normalized speed data, k is the preset threshold coefficient, is the standard deviation of the normalized velocity data.

[0033] As a preferred solution of the control system based on the winder's initial and final speed distribution of the present invention, the data storage module further comprises a data analysis and optimization unit, which performs data analysis through the following steps to optimize the winding process;

[0034] First, the data analysis and optimization unit first performs principal component analysis (PCA) on the preprocessed data using the following formula to reduce the dimension of the data:

[0035] ;

[0036] in, is the result of principal component analysis, is the ith eigenvalue, is the corresponding eigenvector, n is the number of eigenvalues;

[0037] Then, the data analysis and optimization unit established a multivariate regression model of the winding process to predict and optimize the winding parameters through the following formula:

[0038] ;

[0039] in, is the predicted optimal speed, β0 is the intercept term, β1, β2, ..., β m are the regression coefficients, X1, X2, ...X m are the various predictor variables that affect winding speed;

[0040] Finally, the data analysis and optimization unit verifies the model and optimizes the parameters using the following formula to ensure the model's predictive power and parameter optimization:

[0041] ;

[0042] Where RMSE is the root mean square error, is the actual observed velocity, is the model prediction speed and n is the number of data points.

[0043] As a preferred solution of the control system based on the initial and final speed distribution of the winding machine of the present invention, there is provided: a computer device comprising a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the control system based on the initial and final speed distribution of the winding machine are implemented.

[0044] As a preferred solution of the control system based on the initial and final speed distribution of the winding machine of the present invention, there is a computer-readable storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the steps of the control system based on the initial and final speed distribution of the winding machine are implemented.

[0045] The beneficial effects of the control system based on the distribution of the winding machine's initial and final speeds of the present invention are as follows: through the precise distribution and adaptive adjustment of the winding machine's initial and final speeds, the accuracy and adaptive ability of speed control are improved, the occurrence of white spot color difference problems in the inner layer is effectively avoided, and at the same time, fault prediction and diagnosis capabilities are provided, thereby improving production efficiency and product quality, and having significant technical advantages and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 The diagram is a schematic diagram of the overall computer equipment of the control system based on the distribution of the winding machine's initial and final speeds. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0051] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and provides a control system based on the distribution of the initial and final speeds of the winding machine, comprising an input unit for receiving a starting speed V input by a user start , terminal speed V end And the percentage stroke value P during acceleration step ;

[0052] A control unit, coupled to the input unit, for calculating a step-type curve with increasing speed;

[0053] an execution unit, coupled to the control unit, for gradually increasing the linear speed of the winding machine according to the calculated step curve;

[0054] The calculation formula of the step-type curve with increasing speed is:

[0055] ;

[0056] Among them, V current is the current speed, N is the current acceleration stage;

[0057] The control unit further includes a dynamic optimization module, which adjusts the P in the formula in real time according to the yarn tension and winding characteristics. step value to achieve the optimal winding speed distribution.

[0058] Specifically, the input unit further includes an interface for setting multiple acceleration stages, each stage having an independent starting speed V start，i and terminal speed V end，i , and the speed increment in each stage is dynamically calculated according to the following formula:

[0059] ;

[0060] in, is the velocity increment of the i-th stage, is the percentage stroke value of the i-th stage.

[0061] Furthermore, the control unit includes a speed planning module, which automatically adjusts the step curve according to the characteristics of the yarn and the winding requirements, and realizes a smooth transition of the acceleration process through the following formula:

[0062] ;

[0063] in, is the acceleration of the i-th stage, is the acceleration time of the i-th stage.

[0064] The execution unit includes a driving device and a sensor. The driving device adjusts the running speed of the winding machine according to the instruction of the control unit. The sensor monitors and feeds back the running state of the winding machine in real time, and realizes closed-loop control through the following formula;

[0065] e=V current -V actual

[0066] Where, e is the velocity error, V actual is the actual monitored speed.

[0067] Preferably, the control system further comprises a fault diagnosis module for detecting and reporting abnormal conditions of the winder during the winding process, and performing fault prediction by the following formula;

[0068] F=f(V current , T, σ)

[0069] Where F is the fault prediction index, T is the equipment temperature, and σ is the standard deviation of yarn tension.

[0070] It should be noted that the control system also includes a data storage module for recording speed change data and historical operation records during the winding process, and performing data analysis using the following formula;

[0071] ;

[0072] in, is the speed increment after optimization, is the speed dataset, is a time dataset.

[0073] Furthermore, the data storage module further includes a data preprocessing unit, which preprocesses the speed change data and historical operation records during the winding process by the following inventive formula to improve the accuracy of data analysis;

[0074] ;

[0075] in, is the normalized speed data after preprocessing, is the original speed data, μ is the average value of the original speed data, σ is the standard deviation of the original speed data, and the data preprocessing unit also includes a time series analysis module, which can identify and eliminate outliers in the data through the following formula;

[0076] ;

[0077] Among them, outlier is a set of outliers, is the ith normalized velocity data point, is the average value of the normalized speed data, k is the preset threshold coefficient, is the standard deviation of the normalized velocity data.

[0078] In particular, the data storage module further comprises a data analysis and optimization unit, which performs data analysis to optimize the winding process by the following steps;

[0079] First, the data analysis and optimization unit first performs principal component analysis (PCA) on the preprocessed data using the following formula to reduce the dimension of the data:

[0080] ;

[0081] in, is the result of principal component analysis, is the ith eigenvalue, is the corresponding eigenvector, n is the number of eigenvalues;

[0082] Then, the data analysis and optimization unit established a multivariate regression model of the winding process to predict and optimize the winding parameters through the following formula:

[0083] ;

[0084] in, is the predicted optimal speed, β0 is the intercept term, β1, β2, ..., β m are the regression coefficients, X1, X2, ...X m are the various predictor variables that affect winding speed;

[0085] Finally, the data analysis and optimization unit verifies the model and optimizes the parameters using the following formula to ensure the model's predictive power and parameter optimization:

[0086] ;

[0087] Where RMSE is the root mean square error, V actual，i is the actual observed velocity, is the model prediction speed and n is the number of data points.

[0088] When using the present invention, the user first sets the starting speed, the final speed and the percentage stroke value during the acceleration process, and then the control unit calculates the step-type curve of the increasing speed according to these parameters, and adjusts it in real time through the dynamic optimization module. The execution unit gradually increases the linear speed of the winder according to the calculated step-type curve to achieve a step-by-step operation winding method from slow to fast. The control system also includes a fault diagnosis module for detecting and reporting abnormal conditions of the winder during the winding process, and predicting faults through a prediction model. The data storage module records the speed change data and historical operation records during the winding process, and optimizes through the data analysis module to improve production efficiency and product quality.

[0089] Embodiment 2 is the second embodiment of the present invention. Based on the first two embodiments, the embodiment of the present invention provides a computer device, which may be a server, and its internal structure diagram may be as shown in FIG. Figure 1 As shown. The computer device includes a processor, a memory and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium.

[0090] The database of the computer device is used to store the motion detection data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in any of the above embodiments are implemented.

[0091] Those skilled in the art will understand that the structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0092] In one embodiment, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0093] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0094] Importantly, it should be noted that the construction and arrangement of the present application shown in a number of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), mounting arrangements, use of materials, color, changes in orientation, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, an element shown as integrally formed may be composed of multiple parts or elements, the position of the element may be inverted or otherwise changed, and the nature or number or position of the discrete element may be altered or changed. Therefore, all such modifications are intended to be included within the scope of the present invention. The order or sequence of any process or method steps may be changed or reordered according to an alternative embodiment. In the claims, any "device plus function" clause is intended to cover the structure described herein that performs the function, and is not only structurally equivalent but also equivalent structure. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangement of the exemplary embodiments without departing from the scope of the present invention. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0095] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).

[0096] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A control system based on the initial and final speed distribution of a winding machine, characterized in that: include, An input unit, used to receive the starting speed Vstart, the final speed Vend and the percentage stroke value Pstep during the acceleration process input by the user; A control unit, coupled to the input unit, for calculating a step-type curve with increasing speed; an execution unit, coupled to the control unit, for gradually increasing the linear speed of the winding machine according to the calculated step curve; The calculation formula of the step-type curve with increasing speed is: Among them, Vcurrent is the current speed, N is the current acceleration stage; Wherein, the control unit further includes a dynamic optimization module, which adjusts the Pstep value in the formula in real time according to the yarn tension and winding characteristics to achieve an optimized winding speed distribution; The input unit further includes an interface for setting multiple acceleration stages, each stage having an independent starting speed Vstart,i and terminal speed Vend,i, and the speed increment of each stage is dynamically calculated according to the following formula: in, is the speed increment of the i-th stage, Pstep,i is the percentage stroke value of the i-th stage; The control unit includes a speed planning module, which automatically adjusts the step curve according to the characteristics of the yarn and the winding requirements, and realizes a smooth transition of the acceleration process through the following formula: in, is the acceleration of the i-th stage, is the acceleration time of the i-th stage; The execution unit includes a driving device and a sensor. The driving device adjusts the running speed of the winding machine according to the instruction of the control unit. The sensor monitors and feeds back the running state of the winding machine in real time, and realizes closed-loop control through the following formula; Among them, e is the speed error, Vactual is the actual monitored speed; The control system also includes a fault diagnosis module for detecting and reporting abnormal conditions of the winder during the winding process and performing fault prediction using the following formula; F=f(Vcurrent,T,σ) Among them, F is the fault prediction index, T is the equipment temperature, and σ is the standard deviation of yarn tension; The control system also includes a data storage module for recording speed change data and historical operation records during the winding process, and performing data analysis using the following formula; in, is the optimized velocity increment, Vdata is the velocity data set, and Tdata is the time data set; The data storage module further includes a data preprocessing unit, which preprocesses the speed variation data and historical operation records during the winding process by the following inventive formula to improve the accuracy of data analysis; in, is the normalized speed data after preprocessing, is the original speed data, μ is the mean value of the original speed data, σ is the standard deviation of the original speed data, The data preprocessing unit also includes a time series analysis module, which can identify and eliminate outliers in the data through the following formula; Among them, outlier is a set of outliers, is the ith normalized velocity data point, is the average value of the normalized speed data, k is the preset threshold coefficient, is the standard deviation of the normalized velocity data.

2. The control system based on the winder initial and final speed distribution as claimed in claim 1, characterized in that: The data storage module also includes a data analysis and optimization unit, which performs data analysis to optimize the winding process through the following steps: First, the data analysis and optimization unit first performs principal component analysis (PCA) on the preprocessed data using the following formula to reduce the dimension of the data: in, is the result of principal component analysis, is the ith eigenvalue, is the corresponding eigenvector, n is the number of eigenvalues; Then, the data analysis and optimization unit established a multivariate regression model of the winding process to predict and optimize the winding parameters through the following formula: in, is the predicted optimal speed, β0 is the intercept term, β1, β2, ..., βm are regression coefficients, X1, X2, ...Xm are the predictor variables affecting the winding speed; Finally, the data analysis and optimization unit verifies the model and optimizes the parameters using the following formula to ensure the model's predictive power and parameter optimization: Where RMSE is the root mean square error, Vactual,i is the actual observed speed, is the model prediction speed and n is the number of data points.

3. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the control system based on the winder start and end speed distribution described in claims 1 to 2 are implemented.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the control system based on the winder start and end speed distribution described in claim 1 are implemented.

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