WO2022012088A1 - 一种多通道环锭纺细纱机时序化控制纺纱方法及控制系统 - Google Patents

一种多通道环锭纺细纱机时序化控制纺纱方法及控制系统 Download PDF

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Publication number
WO2022012088A1
WO2022012088A1 PCT/CN2021/084019 CN2021084019W WO2022012088A1 WO 2022012088 A1 WO2022012088 A1 WO 2022012088A1 CN 2021084019 W CN2021084019 W CN 2021084019W WO 2022012088 A1 WO2022012088 A1 WO 2022012088A1
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WIPO (PCT)
Prior art keywords
spinning
channel
yarn
feedback
roving
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PCT/CN2021/084019
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English (en)
French (fr)
Inventor
薛元
高林郁
李增润
孙显强
崔鹏
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Jiangnan University
Jingwei Textile Machinery Co Ltd
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Jiangnan University
Jingwei Textile Machinery Co Ltd
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    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H1/00—Spinning or twisting machines in which the product is wound-up continuously
    • D01H1/02—Spinning or twisting machines in which the product is wound-up continuously ring type
    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H1/00—Spinning or twisting machines in which the product is wound-up continuously
    • D01H1/14—Details
    • D01H1/20—Driving or stopping arrangements
    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H1/00—Spinning or twisting machines in which the product is wound-up continuously
    • D01H1/14—Details
    • D01H1/20—Driving or stopping arrangements
    • D01H1/22—Driving or stopping arrangements for rollers of drafting machines; Roller speed control
    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H1/00—Spinning or twisting machines in which the product is wound-up continuously
    • D01H1/14—Details
    • D01H1/20—Driving or stopping arrangements
    • D01H1/24—Driving or stopping arrangements for twisting or spinning arrangements, e.g. spindles
    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H5/00—Drafting machines or arrangements ; Threading of roving into drafting machine
    • D01H5/18—Drafting machines or arrangements without fallers or like pinned bars
    • D01H5/32—Regulating or varying draft

Definitions

  • the invention relates to a spinning method and a control system for sequential control of a multi-channel ring spinning frame, belonging to the technical field of intelligent sequential spinning.
  • the all-electric spinning frame that has been formed so far has two concerns.
  • the first concern is to combine the original single-motor-driven mechanical drafting, mechanical twisting and mechanical winding mechanical spinning system. It is improved to an electronic spinning system with electronic drafting, electronic twisting and electronic winding formed by PLC control and multi-motor cooperative drive; the second focus is to improve the flexibility of spinning processing and realize online change of structural parameters. Spinning processing and integrated processing of multi-variety yarns.
  • the improvement of the digital level of the single-machine ring spinning frame has laid a good foundation for the realization of intelligent spinning. But at present, there are the following problems: 1 The electronic drafting, electronic twisting and electronic winding of the CNC spinning frame belong to independent control units. Since the seamless integration of the yarn simulation model and the spinning process is not achieved, manual intervention is required. Or preset parameters can complete the digital spinning process, and cannot realize the intelligent digital spinning process; 2 The lack of a digital simulation model expressing the yarn structure, shape and color cannot provide data support for the digital spinning process.
  • the spinning process is controlled by PLC on-site, and the mechanism motion parameters of the spinning process, the spinning process parameters and the structural parameters of the forming yarn are not displayed visually; 4 In terms of monitoring, At present, it is mainly to monitor the speed of the moving parts of the spinning machine, but it is still impossible to monitor the structural parameters of the forming yarn and the spinning process parameters.
  • the technical problem to be solved by the present invention is to provide a spinning method for sequential control of a multi-channel ring spinning frame, which can realize precise sequential spinning control for the spinning process and effectively improve the obtaining efficiency of the target forming yarn.
  • the present invention designs a multi-channel ring spinning frame timing control spinning method, based on at least two-channel ring spinning mechanism, realizes the roving of each channel to the target forming
  • the spinning of yarn includes the following steps:
  • Step A Define the spinning time of the sample target forming yarn s with the preset length as T, and the spinning time lengths corresponding to n sections of different structural yarn segments on the sample target forming yarn s are ⁇ 1 , . . . , ⁇ i , . . . , ⁇ n , 1 ⁇ i ⁇ n, and define Then enter step B;
  • Step B Based on the spinning process of the sample target forming yarn s, detect and obtain each yarn density discrete value ⁇ si , each yarn twist discrete value T wi , and each group of yarns distributed in time series on the sample target forming yarn s Color discrete values ⁇ C si , M si , Y si , K si , W si ⁇ , and further through data fitting, the yarn density distribution function ⁇ s (t), yarn density distribution function ⁇ s (t) corresponding to the sample target forming yarn s is obtained, twist distribution function value T w (t), the yarn color distribution function ⁇ C s (t), M s (t), Y s (t), K s (t), W s (t) ⁇ , where, t i ⁇ t ⁇ t i+1 , then enter step C;
  • Step C According to the CMYKW color value of the roving of each channel, combined with the discrete values ⁇ C si , M si , Y si , K si , W si ⁇ of each group of yarn colors distributed in time series on the sample target forming yarn s, obtain each The channel rovings correspond to the discrete value ⁇ fi of the blending ratio of each t i respectively, f ⁇ 1,...,F ⁇ , F represents the total number of channels, F ⁇ 2, ⁇ fi represents the discrete value of the blending ratio of the f-th channel roving corresponding to each t i , and further through the data fitting method, obtain the blending ratio distribution function ⁇ f (t) corresponding to each channel roving respectively, and ⁇ f (t) represents the blending ratio distribution function corresponding to the f channel roving, and then enter step D;
  • Step D The corresponding respective channels each roving yarn density ⁇ si discrete values in time sequence t i of each blend ratio of discrete values ⁇ fi, and a sample of yarn molded s target profile is obtained for each channel corresponding to each of the rovings retractor
  • Draw ratio distribution function E f (t) represents the draft ratio distribution function corresponding to the f-th channel roving, and obtain the minimum draft ratio distribution function E min (t) of the roving between each channel at each moment , and then enter step E;
  • V q (t) n d (t)/ Tw (t);
  • V hf (t) represents the speed of the back roller in the f-th channel
  • Each working mechanism in the ring spinning mechanism is controlled to work according to its corresponding time sequence function, so as to realize the spinning of the roving from each channel to the target forming yarn.
  • the sequential motion parameters output by the servo motors corresponding to the detection of each rear roller, middle roller, front roller, ring spindle and ring plate respectively are U bhf (t), U bz (t ), U bq (t), U bd (t), U bg (t), where U bhf (t) represents the time-series motion parameters output by the servo motor corresponding to the rear roller of the fth channel;
  • the transmission ratio of the driven mechanism is ⁇ hf , ⁇ z , ⁇ q , ⁇ d , ⁇ g , and the operating parameters of each working mechanism in the ring spinning mechanism and the spinning process parameters are obtained for feedback display, where ⁇ hf represents The transmission ratio of the servo motor corresponding to the rear roller of channel f to the driven mechanism, and the feedback operating parameters of each working mechanism are as follows:
  • V bq (t) U bq (t) ⁇ q ;
  • V bz (t) U bz (t) ⁇ z ;
  • V bhf (t) U bhf (t) ⁇ hf ;
  • V bhf (t) represents the back roller feedback speed of the fth channel;
  • V bgs (t) U bgs (t) ⁇ g ;
  • V bgx (t) U bgx (t) ⁇ g ;
  • n bd (t) U bd (t) ⁇ d ;
  • the total number of channels F is equal to 5, that is, f ⁇ , ⁇ , ⁇ , ⁇ , ⁇ , and the five-channel roving ⁇ , ⁇ , ⁇ , ⁇ is based on E bh ⁇ (t) is the main draft, then the feedback of the operating parameters of each working mechanism and the spinning process parameters in the five-channel ring spinning mechanism is shown as follows:
  • the step C includes the following steps C1 to C2;
  • Step C1 According to the color values (C f , M f , Y f , K f , W f ) of the rovings in each channel, and the discrete values of each group of yarn colors ⁇ C si , M si , Y si , K si , W si ⁇ , according to the following formula:
  • Step C2 According to the discrete value ⁇ fi of the blending ratio corresponding to each t i of the rovings in each channel, the distribution function ⁇ f (t) of the blending ratio corresponding to the rovings in each channel is obtained through data fitting.
  • the step C also includes the step C3 as follows, and the step C3 is entered after the step C2 is executed;
  • Step C3 According to the distribution function ⁇ f (t) of the blending ratio corresponding to the rovings of each channel, for each moment, select the channel corresponding to the maximum blending ratio of the roving at the moment as the main channel.
  • the step D includes the following steps D1 to D3;
  • Step D1 According to the discrete value ⁇ fi of the blending ratio of each channel roving corresponding to each t i , and the discrete value ⁇ si of each yarn density distributed in time series on the sample target forming yarn s, according to the following formula:
  • Step D2 For each channel roving corresponding to the draft ratio discrete value E fi of each t i respectively, through the data fitting method, obtain the draft ratio distribution function E f (t) corresponding to each channel roving respectively, then enter step D3 ;
  • Step D3 According to the corresponding draft ratio distribution function E f (t) of each channel roving, obtain the minimum draft ratio E i-min of the roving between each channel in each time period, and then obtain each time period by means of data fitting.
  • the step D also includes steps D4 to D6 as follows, after performing step D3, enter step D4;
  • Step D5. Obtain the draft ratio of the rear area of each channel in each period: Wherein, E hfi represents the draft ratio of the rear area of the fth channel in each period, and then enters step D6;
  • the technical problem to be solved by the present invention is to provide a control system for the sequential control of the spinning method of a multi-channel ring spinning frame, and to realize the automation of detection and control through the coordinated control of multiple subsystems, For the spinning process, precise sequential spinning control is realized, which effectively improves the obtaining efficiency of the target forming yarn.
  • the present invention designs a control system for controlling the spinning method of multi-channel ring spinning frame in sequence, including a sensing subsystem, a spinning machine execution subsystem, and a local control module. , wherein the sensing subsystem is connected with the local control module, and the local control module is connected to the spinning machinery execution subsystem; the sensing subsystem includes each displacement sensor, each speed sensor, each force sensor, each optical sensor, each electrical sensor, and a scanner.
  • the spinning machinery execution subsystem includes the interconnected servo drive system hardware and the spinning machinery execution system hardware.
  • the servo drive system hardware is used to adjust the motor speed for the spinning machinery execution system hardware.
  • the spinning machinery execution system hardware is the front roller, Middle roller, spindle, ring plate, each back roller.
  • it further includes a network communication module connected with the local control module, and each terminal and cloud server connected with the local control module via the network communication module.
  • the multi-channel ring spinning frame is designed in the present invention to control the spinning method in sequence, and the process of relatively separating yarn design and processing is integrated into an integrated system simulation and processing process through a mathematical model.
  • the sequential control of the electronic control device enables the precise spinning process of the roving to obtain the target forming yarn; at the same time, based on the designed spinning method, an integrated intelligent control system for the ring spinning frame is constructed.
  • the decentralized control of the yarn drafting mechanism, the twisting mechanism, and the winding and forming mechanism is integrated into an integrated system for control; through the control system, based on the sequential structure parameters of the yarn, the digital control of the motion law of the spinning and forming mechanism and the spinning process is realized.
  • the parameter-based spinning intelligent technology converts the time-series digital signals detected by the sensor into the operating parameters of the ring spinning system, spinning process parameters, and yarn structure parameters and displays them visually; at the same time, it can realize A spinning intelligent technology that uploads the input and output signals of the on-site controller to the cloud platform, and realizes the remote monitoring and control of the spinning frame based on the mobile device and the remote control platform; the control system is more digital than the existing CNC spinning frame. Processing level, more comprehensive monitoring system and visual display function, more convenient man-machine collaborative control function, and practical application tests show that the solution of the present invention is simple to operate, can meet the expected requirements, and has strong practicability.
  • Fig. 1 is the time-sequential yarn simulation model in the sequential control spinning method of the multi-channel ring spinning frame designed by the present invention
  • Fig. 2 is the sequential yarn simulation model constructed based on feedback signal in the sequential control spinning method of multi-channel ring spinning frame designed by the present invention
  • Fig. 3 is a schematic diagram of a module of a control system designed by the present invention for the sequential control of the spinning method of the multi-channel ring spinning frame.
  • the present invention designs a multi-channel ring spinning frame timing control spinning method, which is based on at least two-channel ring spinning mechanisms to realize the spinning of rovings from each channel to the target forming yarn.
  • the specific implementation is as follows Step A to Step E.
  • Step A Define the spinning time of the sample target forming yarn s with the preset length as T, and the spinning time lengths corresponding to n sections of different structural yarn segments on the sample target forming yarn s are ⁇ 1 , . . . , ⁇ i , . . . , ⁇ n , 1 ⁇ i ⁇ n, and define Then go to step B.
  • Step B As shown in Figure 1, based on the spinning process of the sample target forming yarn s, detect and obtain each yarn density discrete value ⁇ si and each yarn twist discrete value T wi distributed in time series on the sample target forming yarn s , and each group of yarn color discrete values ⁇ C si , M si , Y si , K si , W si ⁇ , and further through data fitting, the yarn density distribution function ⁇ s corresponding to the sample target forming yarn s is obtained (t), Yarn twist value distribution function Tw (t), Yarn color distribution function ⁇ C s (t), M s (t), Y s (t), K s (t), W s (t ) ⁇ , where t i ⁇ t ⁇ t i+1 , and then proceed to step C.
  • a sample target forming yarn is detected by a yarn fineness meter of an optical or electrical sensor, and the optical signal is converted into an electrical signal through digital signal processing or directly uses the electrical signal.
  • Signal, and then through A/D and D/A conversion, the discrete value ⁇ si of each yarn density distributed in time series on the sample target forming yarn s can be detected and obtained, and further through the data fitting method, the sample target forming method can be obtained.
  • Yarn density distribution function ⁇ s (t) corresponding to yarn s.
  • Step C According to the CMYKW color value of the roving of each channel, combined with the discrete values ⁇ C si , M si , Y si , K si , W si ⁇ of each group of yarn colors distributed in time series on the sample target forming yarn s, obtain each The channel rovings correspond to the discrete value ⁇ fi of the blending ratio of each t i respectively, f ⁇ 1,...,F ⁇ , F represents the total number of channels, F ⁇ 2, ⁇ fi represents the discrete value of the blending ratio of the f-th channel roving corresponding to each t i , and further through the data fitting method, obtain the blending ratio distribution function ⁇ f (t) corresponding to each channel roving respectively, ⁇ f (t) represents the blending ratio distribution function corresponding to the f channel roving, and then enter step D.
  • step C specifically executes the following steps C1 to C3.
  • Step C1 According to the color values (C f , M f , Y f , K f , W f ) of the rovings in each channel, and the discrete values of each group of yarn colors ⁇ C si , M si , Y si , K si , W si ⁇ , according to the following formula:
  • Step C2 For the discrete value ⁇ fi of the blending ratio corresponding to each t i of the rovings in each channel, the distribution function ⁇ f (t) of the blending ratio corresponding to the rovings in each channel is obtained through data fitting, and then step C3 is entered.
  • Step C3 According to the distribution function ⁇ f (t) of the blending ratio corresponding to the rovings of each channel, for each moment, select the channel corresponding to the maximum blending ratio of the roving at the moment as the main channel.
  • Step D The corresponding respective channels each roving yarn density ⁇ si discrete values in time sequence t i of each blend ratio of discrete values ⁇ fi, and a sample of yarn molded s target profile is obtained for each channel corresponding to each of the rovings retractor
  • Draw ratio distribution function E f (t) represents the draft ratio distribution function corresponding to the f-th channel roving, and obtain the minimum draft ratio distribution function E min (t) of the roving between each channel at each moment , then go to step E.
  • step D In practical applications of the above step D, the following steps D1 to D6 are specifically performed.
  • Step D1 According to the discrete value ⁇ fi of the blending ratio of each channel roving corresponding to each t i , and the discrete value ⁇ si of each yarn density distributed in time series on the sample target forming yarn s, according to the following formula:
  • Step D2 For each channel roving corresponding to the draft ratio discrete value E fi of each t i respectively, through the data fitting method, obtain the draft ratio distribution function E f (t) corresponding to each channel roving respectively, then enter step D3 .
  • Step D3 According to the corresponding draft ratio distribution function E f (t) of each channel roving, obtain the minimum draft ratio E i-min of the roving between each channel in each time period, and then obtain each time period by means of data fitting.
  • Step D5. Obtain the draft ratio of the rear area of each channel in each period: Wherein, E hfi represents the draft ratio of the rear area of the f-th channel in each time period, and then the process goes to step D6.
  • V q (t) n d (t)/ Tw (t);
  • V hf (t) represents the speed of the back roller in the f-th channel
  • Each working mechanism in the ring spinning mechanism is controlled to work according to its corresponding time sequence function, so as to realize the spinning of the roving from each channel to the target forming yarn.
  • the sequential motion parameters output by the servo motors corresponding to the back rollers, middle rollers, front rollers, and the ring spindle and ring plate are further designed and detected as U bhf (t), U bz (t), U bq (t), U bd (t), U bg (t), where U bhf (t) represents the sequential motion of the servo motor output corresponding to the rear roller of the fth channel parameters; according to the transmission ratio of each servo motor to the driven mechanism as ⁇ hf , ⁇ z , ⁇ q , ⁇ d , ⁇ g , the operating parameters of each working mechanism in the ring spinning mechanism and the spinning process parameters are obtained for
  • the feedback shows that ⁇ hf represents the transmission ratio of the servo motor corresponding to the rear roller of channel f to the driven mechanism, and the feedback operating parameters of the working mechanism in the ring spinning mechanism are as follows:
  • V bq (t) U bq (t) ⁇ q ;
  • V bz (t) U bz (t) ⁇ z ;
  • V bhf (t) U bhf (t) ⁇ hf ;
  • V bhf (t) represents the back roller feedback speed of the fth channel;
  • V bgs (t) U bgs (t) ⁇ g ;
  • V bgx (t) U bgx (t) ⁇ g ;
  • n bd (t) U bd (t) ⁇ d ;
  • the present invention further designs a control system for this, including a sensing subsystem, a spinning machine execution subsystem, a local control module, and network communication.
  • the sensing subsystem includes each displacement sensor, each speed sensor, each force sensor, and each light sensor ,
  • the rotation speed of the roller is detected by each displacement sensor and each force sensor to detect the draft ratio of each channel.
  • the spinning machinery execution subsystem includes the interconnected servo drive system hardware and the spinning machinery execution system hardware.
  • the servo drive system hardware is used to adjust the motor speed for the spinning machinery execution system hardware.
  • the spinning machinery execution system hardware is the front roller, Middle roller, spindle, ring plate, each back roller.
  • the local control module connects and communicates with each terminal and the cloud server through the network communication module.
  • the local control module is such as on-site PLC or industrial computer, local client, central control room, remote client, mobile client, etc.
  • the yarn process is controlled and monitored.
  • the hardware of the network and communication module is mainly composed of the storage hardware of the remote server (that is, the storage hard disk) and the router (that is, the PLC-500T PRO industrial networking treasure).
  • the storage hardware is responsible for storing the spinning process.
  • the detailed parameter information is available for users to view, download and call online; the router supports the TCP/IP communication protocol, and is responsible for connecting the cloud server, the client, and the programmable controller, which acts as a bridge.
  • the hardware of management and control module is mainly composed of management part such as mobile phone, tablet computer, PC host, TPC-1061Hi touch screen and control part such as programmable logic controller (PLC).
  • the programmable logic controller (PLC) is mainly composed of AC500CPU, AC500-ETH CPU main board, CD522 high-speed counting module, TU516 module backplane, and digital IO module.
  • the management part is mainly responsible for processing the real-time data from the control part and displaying it visually in the form of charts.
  • the control part is responsible for converting the process parameters issued by the management part into data that can be recognized by the machine, so that the execution module can execute.
  • Execution module hardware is mainly composed of servo drive system hardware and spinning machinery execution system hardware.
  • Servo drive system hardware includes HDR switch, DZ47-60 miniature circuit breaker, B2-220V pulse servo driver, A2-220V Ethernet servo driver, ECMA servo motor and reducer, mainly for adjusting the motor speed.
  • Spinning machinery execution system hardware includes front roller, middle roller, rear roller, spindle, ring plate, etc.
  • the hardware of the perception module is mainly composed of displacement sensors, speed sensors, force sensors, scanners, video cameras, and cameras.
  • the hardware of this module is responsible for feeding back the motion speed of the spinning mechanism and the appearance parameters of the yarn structure to the programmable controller for subsequent regulation.
  • the network and communication module software is mainly composed of the remote server system software and the router driver software.
  • the remote server system software is integrated in the client software.
  • the software is mainly responsible for retrieving the data stored in the network hard disk and calling it, which is convenient for the further management of the management and control modules.
  • Management and control module software is mainly composed of management part software and control part software.
  • the management part of the software includes mobile phone client software, remote client software (such as web pages), client software, touch screen programs, etc.;
  • the control part includes programmable logic controller (PLC) programs.
  • PLC programmable logic controller
  • the function of the execution module software is to convert the electrical signals transmitted by the system into the motion parameters of the spinning machine for subsequent production and processing;
  • the perception module software is mainly composed of scanner driver software, video camera driver software, and camera driver software. Under the action of the hardware and driver software of this module, the spinning motion law can be better regulated.
  • the multi-channel ring spinning frame designed by the above technical solution is designed to control the spinning method in sequence, and the process of relatively separating yarn design and processing is integrated into an integrated system simulation and processing process through a mathematical model.
  • the sequential control of each electronic control device can realize the precise spinning process for roving and obtain the target forming yarn; at the same time, based on the designed spinning method, an integrated intelligent control system of the ring spinning frame is constructed.
  • the decentralized control of the spinning drafting mechanism, the twisting mechanism and the winding and forming mechanism is integrated into an integrated system for control; through the control system based on the sequential structure parameters of the yarn, the digital control of the motion law of the spinning and forming mechanism, as well as the spinning and forming mechanism, is realized.
  • the intelligent spinning technology of process parameters converts the time-series digital signals detected by the sensor into the operating parameters of the ring spinning system, spinning process parameters, and yarn structure parameters and displays them visually; at the same time, it can It realizes the intelligent spinning technology that uploads the input and output signals of the on-site controller to the cloud platform, and realizes the remote monitoring and control of the spinning frame based on the mobile device and the remote control platform.
  • the control system has higher advantages. Digital processing level, more comprehensive monitoring system and visual display function, more convenient man-machine collaborative control function, and practical application tests show that the solution of the invention is simple to operate, can meet the expected requirements, and has strong practicability.

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  • Mechanical Engineering (AREA)
  • Textile Engineering (AREA)
  • Spinning Or Twisting Of Yarns (AREA)

Abstract

一种多通道环锭纺细纱机时序化控制纺纱方法,通过纱线仿真模型将纱线设计与纺纱加工过程无缝融合,即可以基于时序变化的纱线结构参数对纺纱设备各机构电控装置进行时序化控制以获得目标成型纱,也可以通过对纺纱设备各机构电控装置进行时序化控制,使加工成型纱的结构参数满足时序变化的要求,实现柔性数字化纺纱;并通过传感感知系统,检测获得环锭纺纱系统运行参数、纺纱工艺参数及纱线的结构、形貌、色彩等参数,基于构建的数学模型进行可视化展示;同时构建基于纺纱方法的控制系统,实现监测与控制。

Description

一种多通道环锭纺细纱机时序化控制纺纱方法及控制系统 技术领域
本发明涉及一种多通道环锭纺细纱机时序化控制纺纱方法及控制系统,属于智能时序化纺纱技术领域。
背景技术
近几年智能纺纱技术进步发展较快,一是以纺纱设备的自动化和数字化,二是纺纱工序的连续化,三是基于传感技术、网络技术的在线监测、监控及纺纱车间的信息化管理。单机台纺纱设备方面,出现了由PLC协调控制的多电机驱动的电子牵伸、电子卷绕、电子成型的全电细纱机,大大提升了纺纱机械的电子化、自动化和数字化水平。
以实现无人化操作的智能纺纱为目标,如何使单机台数字化纺纱设备融入连续化纺纱生产流程,推进纺纱车间信息化管理的深度和包容度,提升纺纱智能化水平,是目前需要解决的关键问题。
目前已形成的全电式细纱机,有两个关注点,第一个关注点是将原有单电机驱动的机械式牵伸、机械式加捻和机械式卷绕的机械式纺纱系统,改进为由PLC控制和多电机协同驱动的电子牵伸、电子加捻和电子卷绕成型的电子式纺纱系统;第二个关注点是提升纺纱加工的柔性度,实现在线变化结构参数的纺纱加工及多品种纱线的一体化加工。
单机台环锭细纱机数字化水平的提升,为实现纺纱智能化奠定了较好基础。但目前存在以下问题:①数控细纱机的电子牵伸、电子加捻与电子卷绕分属相互独立的控制单元,由于未通过纱线仿真模型与纺纱加工过程实现无缝融合,需要人工干预或预置参数才能完成数字化纺纱加工过程,无法实现智能化的数字化纺纱加工过程;②缺少表达纱线结构、形貌和色彩的数字化仿真模型,无法为纺纱的数字化成型加工提供数据支撑,无法实现纺纱的柔性智能化生产;③纺纱加工过程采用PLC现场控制,纺纱过程的机构运动参数、纺纱工艺参数及成型纱线的结构参数没有进行可视化显示;④在监测方面,目前以监测纺纱机运动部件的速度为主,尚不能监测成型纱线的结构参数与纺纱工艺参数。
发明内容
本发明所要解决的技术问题是提供一种多通道环锭纺细纱机时序化控制纺纱方法,能够针对纺纱过程,实现精准时序化纺纱控制,有效提高目标成型纱的获得效率。
本发明为了解决上述技术问题采用以下技术方案:本发明设计了一种多通道环锭纺细 纱机时序化控制纺纱方法,基于至少两通道的环锭纺纱机构,实现各通道粗纱到目标成型纱的纺纱,包括如下步骤:
步骤A.定义预设长度的样本目标成型纱s的纺制时间为T,以及样本目标成型纱s上n段不同结构纱段分别所对应的纺制时长为ξ 1、…、ξ i、…、ξ n,1≤i≤n,且定义
Figure PCTCN2021084019-appb-000001
然后进入步骤B;
步骤B.基于样本目标成型纱s的纺纱过程,检测获得样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si、各纱线捻度离散值T wi、以及各组纱线颜色离散值{C si、M si、Y si、K si、W si},并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线密度分布函数ρ s(t)、纱线捻度值分布函数T w(t)、纱线颜色分布函数{C s(t)、M s(t)、Y s(t)、K s(t)、W s(t)},其中,t i≤t≤t i+1,然后进入步骤C;
步骤C.根据各通道粗纱的CMYKW颜色值,结合样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},获得各通道粗纱分别对应各t i的混纺比离散值λ fi,f∈{1、…、F},F表示通道总数,F≥2,λ fi表示第f通道粗纱对应各t i的混纺比离散值,并进一步通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t),λ f(t)表示第f通道粗纱所对应的混纺比分布函数,然后进入步骤D;
步骤D.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),E f(t)表示第f通道粗纱所对应的牵伸比分布函数,并获得各时刻下各通道之间粗纱最小牵伸比分布函数E min(t),然后进入步骤E;
步骤E.根据环锭转速n d(t),各通道粗纱的线密度ρ f,ρ f表示第f通道粗纱的线密度,常数C k∈[1,1.38],钢领板上升和下降螺距h s(t)、h x(t),成型角γ,管纱总高度H,最大卷绕成型半径R,钢丝圈绕纲领环的旋转角θ(t),钢领板上升短动程H s和下降短动程H x,级升Δ=H s-H x,按如下各个公式:
前罗拉速度:V q(t)=n d(t)/T w(t);
后罗拉速度:
Figure PCTCN2021084019-appb-000002
其中,V hf(t)表示第f通道中后罗拉速度;
中罗拉速度:V z(t)=V q(t)/[E min(t)/C k];
钢领板上升速度:
Figure PCTCN2021084019-appb-000003
钢领板下降速度:
Figure PCTCN2021084019-appb-000004
控制环锭纺纱机构中各工作机构分别按其所对应的时序函数进行工作,实现各通道粗纱到目标成型纱的纺纱。
作为本发明的一种优选技术方案:检测各后罗拉、中罗拉、前罗拉、以及环锭、钢领板分别所对应伺服电机输出的时序化运动参数为U bhf(t)、U bz(t)、U bq(t)、U bd(t)、U bg(t),其中,U bhf(t)表示第f通道后罗拉所对应伺服电机输出的时序化运动参数;根据各伺服电机分别到被驱动机构的传动比为μ hf、μ z、μ q、μ d、μ g,获得环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数用于反馈显示,其中,μ hf表示第f通道后罗拉所对应伺服电机到被驱动机构的传动比,各工作机构反馈运行参数如下:
前罗拉反馈速度:V bq(t)=U bq(t)×μ q;
中罗拉反馈速度:V bz(t)=U bz(t)×μ z;
后罗拉反馈速度:V bhf(t)=U bhf(t)×μ hf;V bhf(t)表示第f通道后罗拉反馈速度;
钢领板上升反馈速度:V bgs(t)=U bgs(t)×μ g;
钢领板下降反馈速度:V bgx(t)=U bgx(t)×μ g;
锭子反馈转速:n bd(t)=U bd(t)×μ d;
则纺纱工艺参数反馈如下:
目标成型纱的反馈纱线密度:
Figure PCTCN2021084019-appb-000005
目标成型纱的反馈纱线混纺比:
Figure PCTCN2021084019-appb-000006
目标成型纱的反馈纱线捻度:
Figure PCTCN2021084019-appb-000007
反馈前区牵伸比:
Figure PCTCN2021084019-appb-000008
反馈后区牵伸比:
Figure PCTCN2021084019-appb-000009
反馈总牵伸比:
Figure PCTCN2021084019-appb-000010
作为本发明的一种优选技术方案:所述通道总数F等于5,即f∈{α、β、γ、δ、ε},五通道粗纱α、β、γ、δ、ε,则基于E bhα(t)为主牵伸,则五通道环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数的反馈显示如下:
反馈前区牵伸比:
Figure PCTCN2021084019-appb-000011
反馈后区牵伸比:
Figure PCTCN2021084019-appb-000012
反馈各通道总牵伸比:
Figure PCTCN2021084019-appb-000013
反馈前罗拉速度:
Figure PCTCN2021084019-appb-000014
反馈中罗拉速度:
Figure PCTCN2021084019-appb-000015
反馈后罗拉速度:
Figure PCTCN2021084019-appb-000016
反馈纺纱产量:W b(t)=∫ρ bs(t)dt。
作为本发明的一种优选技术方案:所述步骤C包括如下步骤C1至步骤C2;
步骤C1.根据各通道粗纱的颜色值(C f、M f、Y f、K f、W f),以及样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},按如下公式:
Figure PCTCN2021084019-appb-000017
获得各通道粗纱分别对应各t i的混纺比离散值λ fi,然后进入步骤C2;
步骤C2.针对各通道粗纱分别对应各t i的混纺比离散值λ fi,通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t)。
作为本发明的一种优选技术方案:所述步骤C中还包括步骤C3如下,执行完步骤C2之后进入步骤C3;
步骤C3.根据各通道粗纱分别所对应的混纺比分布函数λ f(t),分别针对各个时刻,选择时刻中粗纱最大混纺比所对应的通道作为主通道。
作为本发明的一种优选技术方案:所述步骤D包括如下步骤D1至步骤D3;
步骤D1.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,按如下公式:
Figure PCTCN2021084019-appb-000018
获得各通道粗纱分别对应各t i的牵伸比离散值E fi,然后进入步骤D2;
步骤D2.针对各通道粗纱分别对应各t i的牵伸比离散值E fi,通过数据拟合方式,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),然后进入步骤D3;
步骤D3.根据各通道粗纱分别所对应的牵伸比分布函数E f(t),获得各时段中各通道之间粗纱最小牵伸比E i-min,进而通过数据拟合方式,获得各时段下各通道之间粗纱最小牵伸比分布函数E min(t)。
作为本发明的一种优选技术方案:所述步骤D中还包括步骤D4至步骤D6如下,执行完步骤D3之后,进入步骤D4;
步骤D4.根据E qi=E i-min/C k,获得各时段中各通道前区牵伸比E qi,然后进入步骤D5;
步骤D5.获得各时段中各通道后区牵伸比:
Figure PCTCN2021084019-appb-000019
其中,E hfi表示各时 段中第f通道后区牵伸比,然后进入步骤D6;
步骤D6.根据如下公式:
某段纺纱时间:ξ i=l i/V qi;某段纺纱长度:l i=V qi*ξ i;
累计纺纱时间
Figure PCTCN2021084019-appb-000020
某段纺纱前罗拉速度:V qi=n di/T wi;
累计纺纱长度
Figure PCTCN2021084019-appb-000021
分别获得目标成型纱上单段所对应的纺纱时长ξ i,该段纺纱长度l i,前罗拉的速度V qi,累计纺纱时间T i,及所获目标成型纱的累计长度L i。
与上述相对应,本发明还要解决的技术问题是提供一种多通道环锭纺细纱机时序化控制纺纱方法的控制系统,通过多个子系统的协同控制,实现侦测与控制的自动化,针对纺纱过程,实现精准时序化纺纱控制,有效提高目标成型纱的获得效率。
本发明为了解决上述技术问题采用以下技术方案:本发明设计了一种多通道环锭纺细纱机时序化控制纺纱方法的控制系统,包括感知子系统、纺纱机械执行子系统、本地控制模块,其中,感知子系统与本地控制模块相连接,本地控制模块对接纺纱机械执行子系统;感知子系统包括各位移传感器、各速度传感器、各力传感器、各光传感器、各电传感器、扫描仪、摄像仪、照相机,其中,通过光传感器或电传感器检测成型纱的密度值,通过扫描仪或摄像仪检测成型纱的捻度值、颜色值,通过各速度传感器检测各罗拉的转速,通过各位移传感器、各力传感器检测各通道的牵伸比;
纺纱机械执行子系统包括相互对接的伺服驱动系统硬件和纺纱机械执行系统硬件,伺服驱动系统硬件用于针对纺纱机械执行系统硬件进行电机转速调节,纺纱机械执行系统硬件即前罗拉、中罗拉、锭子、钢领板、各个后罗拉。
作为本发明的一种优选技术方案:还包括与本地控制模块相连接的网络通讯模块,以及经网络通讯模块与本地控制模块相连接的各个终端与云服务器。
本发明所述一种多通道环锭纺细纱机时序化控制纺纱方法及控制系统,采用以上技术方案与现有技术相比,具有以下技术效果:
本发明所设计多通道环锭纺细纱机时序化控制纺纱方法,将纱线设计与加工相对分离的过程,通过数学模型集成为一体化的系统仿真与加工过程,获得针对纺纱机构中各电控 装置的时序化控制,由此针对粗纱实现精准纺纱过程,获得目标成型纱;同时基于所设计纺纱方法,构建了环锭细纱机的集成化智能控制系统,该智能控制系统将纺纱牵伸机构、加捻机构、卷绕成型机构的分散控制,集成为一体化系统进行控制;通过控制系统基于纱线时序化结构参数,实现数字化控制纺纱成型机构运动规律、以及纺纱工艺参数的纺纱智能技术,将传感器检测到的时序化数字信号转换成环锭纺纱系统运行参数、纺纱工艺参数、以及纱线结构参数并进行可视化展示的纺纱智能化技术;同时可以实现将现场控制器的输入输出信号上传到云平台,并基于移动设备和远程控制平台实现对细纱机的远程监测与控制的纺纱智能化技术;控制系统相对现有数控细纱机,具有更高地数字化加工水平、更全面地监测体系与可视化展示功能、更便捷地人机协同控制功能,并且实际应用测试表明,本发明方案操作简单,能达到预期要求,具有很强的实用性。
附图说明
图1是本发明所设计多通道环锭纺细纱机时序化控制纺纱方法中的时序化纱线仿真模型;
图2是本发明所设计多通道环锭纺细纱机时序化控制纺纱方法中基于反馈信号构建的时序化纱线仿真模型;
图3是本发明所设计多通道环锭纺细纱机时序化控制纺纱方法的控制系统的模块示意图。
具体实施方式
下面结合说明书附图对本发明的具体实施方式作进一步详细的说明。
本发明所设计一种多通道环锭纺细纱机时序化控制纺纱方法,基于至少两通道的环锭纺纱机构,实现各通道粗纱到目标成型纱的纺纱,实际应用当中,具体执行如下步骤A至步骤E。
步骤A.定义预设长度的样本目标成型纱s的纺制时间为T,以及样本目标成型纱s上n段不同结构纱段分别所对应的纺制时长为ξ 1、…、ξ i、…、ξ n,1≤i≤n,且定义
Figure PCTCN2021084019-appb-000022
然后进入步骤B。
步骤B.如图1所示,基于样本目标成型纱s的纺纱过程,检测获得样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si、各纱线捻度离散值T wi、以及各组纱线颜色离散值{C si、M si、Y si、K si、W si},并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线密度分布函数ρ s(t)、纱线捻度值分布函数T w(t)、纱线颜色分布函数 {C s(t)、M s(t)、Y s(t)、K s(t)、W s(t)},其中,t i≤t≤t i+1,然后进入步骤C。
实际应用当中,对于纱线密度分布函数,如图2所示,通过光或电传感器的纱线细度仪检测一段样本目标成型纱,经数字信号处理将光信号转换为电信号或直接使用电信号,再通过A/D和D/A转换,即可得到检测获得样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线密度分布函数ρ s(t)。
对于纱线捻度值分布函数,如图2所示,使用高清晰扫描仪或摄像仪扫描一段样本目标成型纱,经数字信号处理将光信号转换为电信号,再通过A/D和D/A转换,即可获得样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线颜色分布函数{C s(t)、M s(t)、Y s(t)、K s(t)、W s(t)}。
对于纱线捻度值分布函数,如图2所示,使用高清晰扫描仪或摄像仪扫描一段样本目标成型纱,经过图像处理器处理将光信号转换为电信号,再通过A/D和D/A转换,即可得到样本目标成型纱s上按时间序列分布的各纱线捻度离散值T wi,并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线捻度值分布函数T w(t)。
步骤C.根据各通道粗纱的CMYKW颜色值,结合样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},获得各通道粗纱分别对应各t i的混纺比离散值λ fi,f∈{1、…、F},F表示通道总数,F≥2,λ fi表示第f通道粗纱对应各t i的混纺比离散值,并进一步通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t),λ f(t)表示第f通道粗纱所对应的混纺比分布函数,然后进入步骤D。
实际应用当中,上述步骤C具体执行如下步骤C1至步骤C3。
步骤C1.根据各通道粗纱的颜色值(C f、M f、Y f、K f、W f),以及样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},按如下公式:
Figure PCTCN2021084019-appb-000023
获得各通道粗纱分别对应各t i的混纺比离散值λ fi,然后进入步骤C2。
步骤C2.针对各通道粗纱分别对应各t i的混纺比离散值λ fi,通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t),然后进入步骤C3。
步骤C3.根据各通道粗纱分别所对应的混纺比分布函数λ f(t),分别针对各个时刻,选择时刻中粗纱最大混纺比所对应的通道作为主通道。
步骤D.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),E f(t)表示第f通道粗纱所对应的牵伸比分布函数,并获得各时刻下各通道之间粗纱最小牵伸比分布函数E min(t),然后进入步骤E。
上述步骤D在实际应用当中,具体执行如下步骤D1至步骤D6。
步骤D1.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,按如下公式:
Figure PCTCN2021084019-appb-000024
获得各通道粗纱分别对应各t i的牵伸比离散值E fi,然后进入步骤D2。
步骤D2.针对各通道粗纱分别对应各t i的牵伸比离散值E fi,通过数据拟合方式,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),然后进入步骤D3。
步骤D3.根据各通道粗纱分别所对应的牵伸比分布函数E f(t),获得各时段中各通道之间粗纱最小牵伸比E i-min,进而通过数据拟合方式,获得各时段下各通道之间粗纱最小牵 伸比分布函数E min(t),然后进入步骤D4。
步骤D4.根据E qi=E i-min/C k,获得各时段中各通道前区牵伸比E qi,然后进入步骤D5。
步骤D5.获得各时段中各通道后区牵伸比:
Figure PCTCN2021084019-appb-000025
其中,E hfi表示各时段中第f通道后区牵伸比,然后进入步骤D6。
步骤D6.根据如下公式:
某段纺纱时间:ξ i=l i/V qi;某段纺纱长度:l i=V qi*ξ i;
累计纺纱时间
Figure PCTCN2021084019-appb-000026
某段纺纱前罗拉速度:V qi=n di/T wi;
累计纺纱长度
Figure PCTCN2021084019-appb-000027
分别获得目标成型纱上单段所对应的纺纱时长ξ i,该段纺纱长度l i,前罗拉的速度V qi,累计纺纱时间T i,及所获目标成型纱的累计长度L i。
步骤E.根据环锭转速n d(t),各通道粗纱的线密度ρ f,ρ f表示第f通道粗纱的线密度,常数C k∈[1,1.38],钢领板上升和下降螺距h s(t)、h x(t),成型角γ,管纱总高度H,最大卷绕成型半径R,钢丝圈绕纲领环的旋转角θ(t),钢领板上升短动程H s和下降短动程H x,级升Δ=H s-H x,按如下各个公式:
前罗拉速度:V q(t)=n d(t)/T w(t);
后罗拉速度:
Figure PCTCN2021084019-appb-000028
其中,V hf(t)表示第f通道中后罗拉速度;
中罗拉速度:V z(t)=V q(t)/[E min(t)/C k];
钢领板上升速度:
Figure PCTCN2021084019-appb-000029
钢领板下降速度:
Figure PCTCN2021084019-appb-000030
控制环锭纺纱机构中各工作机构分别按其所对应的时序函数进行工作,实现各通道粗纱到目标成型纱的纺纱。
在环锭纺纱机构中各工作机构进行工作的过程中,进一步设计检测各后罗拉、中罗拉、前罗拉、以及环锭、钢领板分别所对应伺服电机输出的时序化运动参数为U bhf(t)、U bz(t)、U bq(t)、U bd(t)、U bg(t),其中,U bhf(t)表示第f通道后罗拉所对应伺服电机输出的时序化运动参数;根据各伺服电机分别到被驱动机构的传动比为μ hf、μ z、μ q、μ d、μ g,获得环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数用于反馈显示,其中,μ hf表示第f通道后罗拉所对应伺服电机到被驱动机构的传动比,环锭纺纱机构中工作机构反馈运行参数如下:
前罗拉反馈速度:V bq(t)=U bq(t)×μ q;
中罗拉反馈速度:V bz(t)=U bz(t)×μ z;
后罗拉反馈速度:V bhf(t)=U bhf(t)×μ hf;V bhf(t)表示第f通道后罗拉反馈速度;
钢领板上升反馈速度:V bgs(t)=U bgs(t)×μ g;
钢领板下降反馈速度:V bgx(t)=U bgx(t)×μ g;
锭子反馈转速:n bd(t)=U bd(t)×μ d;
则纺纱工艺参数反馈如下:
目标成型纱的反馈纱线密度:
Figure PCTCN2021084019-appb-000031
目标成型纱的反馈纱线混纺比:
Figure PCTCN2021084019-appb-000032
目标成型纱的反馈纱线捻度:
Figure PCTCN2021084019-appb-000033
反馈前区牵伸比:
Figure PCTCN2021084019-appb-000034
反馈后区牵伸比:
Figure PCTCN2021084019-appb-000035
反馈总牵伸比:
Figure PCTCN2021084019-appb-000036
对于至少两通道的环锭纺纱机构,实际应用当中,若通道总数F等于5,即五通道环锭纺纱机构,f∈{α、β、γ、δ、ε},五通道粗纱α、β、γ、δ、ε,则基于E bhα(t)为主牵伸,则五通道环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数的反馈显示如下:
反馈前区牵伸比:
Figure PCTCN2021084019-appb-000037
反馈后区牵伸比:
Figure PCTCN2021084019-appb-000038
反馈各通道总牵伸比:
Figure PCTCN2021084019-appb-000039
反馈前罗拉速度:
Figure PCTCN2021084019-appb-000040
反馈中罗拉速度:
Figure PCTCN2021084019-appb-000041
反馈后罗拉速度:
Figure PCTCN2021084019-appb-000042
反馈纺纱产量:W b(t)=∫ρ bs(t)dt。
对应上述所设计的一种多通道环锭纺细纱机时序化控制纺纱方法,本发明进一步设计了对此的控制系统,包括感知子系统、纺纱机械执行子系统、本地控制模块、网络通讯模块、各个终端与云服务器,其中,感知子系统与本地控制模块相连接,本地控制模块对接纺纱机械执行子系统;感知子系统包括各位移传感器、各速度传感器、各力传感器、各光传感器、各电传感器、扫描仪、摄像仪、照相机,其中,通过光传感器或电传感器检测成型纱的密度值,通过扫描仪或摄像仪检测成型纱的捻度值、颜色值,通过各速度传感器检测各罗拉的转速,通过各位移传感器、各力传感器检测各通道的牵伸比。
纺纱机械执行子系统包括相互对接的伺服驱动系统硬件和纺纱机械执行系统硬件,伺服驱动系统硬件用于针对纺纱机械执行系统硬件进行电机转速调节,纺纱机械执行系统硬件即前罗拉、中罗拉、锭子、钢领板、各个后罗拉。
本地控制模块经网络通讯模块与各个终端与云服务器进行连接通信,实际应用当中,本地控制模块诸如为现场PLC或工控机、本地客户端、中央控制室、远程客户端、移动客户端等对纺纱过程进行控制与监测。
实际应用当中,如图3所示,网络与通讯模块硬件主要由远程服务器的存储硬件(即存储硬盘)和路由器(即PLC-500T PRO工业用联网宝)构成,其中存储硬件负责存储纺纱工艺的详细参数资料,供用户在线查看、下载和调用;路由器支持TCP/IP通讯协议, 负责将云服务器、客户端、可编程控制器连接起来,起的是桥梁作用。
管理与控制模块硬件主要由管理部分如手机、平板电脑、PC主机、TPC-1061Hi触摸屏和控制部分如可编程控制器(PLC)组成。其中可编程控制器(PLC)主要由AC500CPU、AC500-ETH CPU主板、CD522高速计数模块、TU516模块底板、数字量IO模块组成。管理部分主要负责处理来自控制部分的实时数据,并以图表的形式可视化显示。控制部分负责管理部分下发的工艺参数转换成可供机器识别的数据,以便执行模块执行。
执行模块硬件主要由伺服驱动系统硬件和纺纱机械执行系统硬件组成。伺服驱动系统硬件包括HDR开关、DZ47-60微型断路器、B2-220V脉冲型伺服驱动器、A2-220V以太型伺服驱动器、ECMA伺服电机和减速器,主要起的是调整电机转速作用。纺纱机械执行系统硬件包括前罗拉、中罗拉、后罗拉、锭子、钢领板等。
感知模块硬件主要由各位移传感器、各速度传感器、各力传感器、扫描仪、视频摄像仪、照相机组成。该模块的硬件负责将纺纱机构的运动速度和纱线结构外观参数反馈给可编程控制器,用于后续调控。
基于上述各模块的构建,在实际应用当中,还需配合控制系统软件,其中,网络与通讯模块软件主要由远程服务器系统软件和路由器驱动软件构成,其中远程服务器系统软件集成在客户端软件内,该软件主要负责检索存储在网络硬盘内的数据并加以调用,方便管理与控制模块的进一步管理。
管理与控制模块软件主要由管理部分软件和控制部分软件组成。其中管理部分软件包括手机客户端软件、远程客户端软件(如网页)、客户端软件、触摸屏程序等;控制部分包括可编程控制器(PLC)程序。有了以上程序,才能精准和高效的控制机器运动规律。
执行模块软件作用是将系统传递的电信号转化为纺纱机器的运动参数,以便后续化的生产与加工;感知模块软件主要由扫描仪驱动软件、视频摄像仪驱动软件、照相机驱动软件组成。该模块的硬件和驱动软件的作用下,可以更好的调控纺纱运动规律。
上述技术方案所设计多通道环锭纺细纱机时序化控制纺纱方法,将纱线设计与加工相对分离的过程,通过数学模型集成为一体化的系统仿真与加工过程,获得针对纺纱机构中各电控装置的时序化控制,由此针对粗纱实现精准纺纱过程,获得目标成型纱;同时基于所设计纺纱方法,构建了环锭细纱机的集成化智能控制系统,该智能控制系统将纺纱牵伸机构、加捻机构、卷绕成型机构的分散控制,集成为一体化系统进行控制;通过控制系统基于纱线时序化结构参数,实现数字化控制纺纱成型机构运动规律、以及纺纱工艺参数的纺纱智能技术,将传感器检测到的时序化数字信号转换成环锭纺纱系统运行参数、纺纱工 艺参数、以及纱线结构参数并进行可视化展示的纺纱智能化技术;同时可以实现将现场控制器的输入输出信号上传到云平台,并基于移动设备和远程控制平台实现对细纱机的远程监测与控制的纺纱智能化技术;控制系统相对现有数控细纱机,具有更高地数字化加工水平、更全面地监测体系与可视化展示功能、更便捷地人机协同控制功能,并且实际应用测试表明,本发明方案操作简单,能达到预期要求,具有很强的实用性。
上面结合附图对本发明的实施方式作了详细说明,但是本发明并不限于上述实施方式,在本领域普通技术人员所具备的知识范围内,还可以在不脱离本发明宗旨的前提下做出各种变化。

Claims (9)

  1. 一种多通道环锭纺细纱机时序化控制纺纱方法,基于至少两通道的环锭纺纱机构,实现各通道粗纱到目标成型纱的纺纱,其特征在于,包括如下步骤:
    步骤A.定义预设长度的样本目标成型纱s的纺制时间为T,以及样本目标成型纱s上n段不同结构纱段分别所对应的纺制时长为ξ 1、…、ξ i、…、ξ n,1≤i≤n,且定义
    Figure PCTCN2021084019-appb-100001
    Figure PCTCN2021084019-appb-100002
    然后进入步骤B;
    步骤B.基于样本目标成型纱s的纺纱过程,检测获得样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si、各纱线捻度离散值T wi、以及各组纱线颜色离散值{C si、M si、Y si、K si、W si},并进一步通过数据拟合方式,获得样本目标成型纱s所对应的纱线密度分布函数ρ s(t)、纱线捻度值分布函数T w(t)、纱线颜色分布函数{C s(t)、M s(t)、Y s(t)、K s(t)、W s(t)},其中,t i≤t≤t i+1,然后进入步骤C;
    步骤C.根据各通道粗纱的CMYKW颜色值,结合样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},获得各通道粗纱分别对应各t i的混纺比离散值λ fi,f∈{1、…、F},F表示通道总数,F≥2,λ fi表示第f通道粗纱对应各t i的混纺比离散值,并进一步通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t),λ f(t)表示第f通道粗纱所对应的混纺比分布函数,然后进入步骤D;
    步骤D.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),E f(t)表示第f通道粗纱所对应的牵伸比分布函数,并获得各时刻下各通道之间粗纱最小牵伸比分布函数E min(t),然后进入步骤E;
    步骤E.根据环锭转速n d(t),各通道粗纱的线密度ρ f,ρ f表示第f通道粗纱的线密度,常数C k∈[1,1.38],钢领板上升和下降螺距h s(t)、h x(t),成型角γ,管纱总高度H,最大卷绕成型半径R,钢丝圈绕纲领环的旋转角θ(t),钢领板上升短动程H s和下降短动程H x,级升Δ=H s-H x,按如下各个公式:
    前罗拉速度:V q(t)=n d(t)/T w(t);
    后罗拉速度:
    Figure PCTCN2021084019-appb-100003
    其中,V hf(t)表示第f通道的后罗拉速度;
    中罗拉速度:V z(t)=V q(t)/[E min(t)/C k];
    钢领板上升速度:
    Figure PCTCN2021084019-appb-100004
    钢领板下降速度:
    Figure PCTCN2021084019-appb-100005
    控制环锭纺纱机构中各工作机构分别按其所对应的时序函数进行工作,实现各通道粗纱到目标成型纱的纺纱。
  2. 根据权利要求1所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:检测各后罗拉、中罗拉、前罗拉、以及环锭、钢领板分别所对应伺服电机输出的时序化运动参数为U bhf(t)、U bz(t)、U bq(t)、U bd(t)、U bg(t),其中,U bhf(t)表示第f通道后罗拉所对应伺服电机输出的时序化运动参数;根据各伺服电机分别到被驱动机构的传动比为μ hf、μ z、μ q、μ d、μ g,获得环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数用于反馈显示,其中,μ hf表示第f通道后罗拉所对应伺服电机到被驱动机构的传动比,各工作机构反馈运行参数如下:
    前罗拉反馈速度:V bq(t)=U bq(t)×μ q;
    中罗拉反馈速度:V bz(t)=U bz(t)×μ z;
    后罗拉反馈速度:V bhf(t)=U bhf(t)×μ hf;V bhf(t)表示第f通道后罗拉反馈速度;
    钢领板上升反馈速度:V bgs(t)=U bgs(t)×μ g;
    钢领板下降反馈速度:V bgx(t)=U bgx(t)×μ g;
    锭子反馈转速:n bd(t)=U bd(t)×μ d;
    则纺纱工艺参数反馈如下:
    目标成型纱的反馈纱线密度:
    Figure PCTCN2021084019-appb-100006
    目标成型纱的反馈纱线混纺比:
    Figure PCTCN2021084019-appb-100007
    目标成型纱的反馈纱线捻度:
    Figure PCTCN2021084019-appb-100008
    反馈前区牵伸比:
    Figure PCTCN2021084019-appb-100009
    反馈后区牵伸比:
    Figure PCTCN2021084019-appb-100010
    反馈总牵伸比:
    Figure PCTCN2021084019-appb-100011
  3. 根据权利要求2所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:所述通道总数F等于5,即f∈{α、β、γ、δ、ε},五通道粗纱α、β、γ、δ、ε,则基于E bhα(t)为主牵伸,则五通道环锭纺纱机构中各工作机构运行参数、以及纺纱工艺参数的反馈显示 如下:
    反馈前区牵伸比:
    Figure PCTCN2021084019-appb-100012
    反馈后区牵伸比:
    Figure PCTCN2021084019-appb-100013
    反馈各通道总牵伸比:
    Figure PCTCN2021084019-appb-100014
    反馈前罗拉速度:
    Figure PCTCN2021084019-appb-100015
    反馈中罗拉速度:
    Figure PCTCN2021084019-appb-100016
    反馈后罗拉速度:
    Figure PCTCN2021084019-appb-100017
    反馈纺纱产量:W b(t)=∫ρ bs(t)dt。
  4. 根据权利要求1至3中任意一项所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:所述步骤C包括如下步骤C1至步骤C2;
    步骤C1.根据各通道粗纱的颜色值(C f、M f、Y f、K f、W f),以及样本目标成型纱s上按时间序列分布的各组纱线颜色离散值{C si、M si、Y si、K si、W si},按如下公式:
    Figure PCTCN2021084019-appb-100018
    获得各通道粗纱分别对应各t i的混纺比离散值λ fi,然后进入步骤C2;
    步骤C2.针对各通道粗纱分别对应各t i的混纺比离散值λ fi,通过数据拟合方式,获得各通道粗纱分别所对应的混纺比分布函数λ f(t)。
  5. 根据权利要求4所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:所述步骤C中还包括步骤C3如下,执行完步骤C2之后进入步骤C3;
    步骤C3.根据各通道粗纱分别所对应的混纺比分布函数λ f(t),分别针对各个时刻,选择时刻中粗纱最大混纺比所对应的通道作为主通道。
  6. 根据权利要求1至3中任意一项所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:所述步骤D包括如下步骤D1至步骤D3;
    步骤D1.根据各通道粗纱分别对应各t i的混纺比离散值λ fi,以及样本目标成型纱s上按时间序列分布的各纱线密度离散值ρ si,按如下公式:
    Figure PCTCN2021084019-appb-100019
    获得各通道粗纱分别对应各t i的牵伸比离散值E fi,然后进入步骤D2;
    步骤D2.针对各通道粗纱分别对应各t i的牵伸比离散值E fi,通过数据拟合方式,获得各通道粗纱分别所对应的牵伸比分布函数E f(t),然后进入步骤D3;
    步骤D3.根据各通道粗纱分别所对应的牵伸比分布函数E f(t),获得各时段中各通道之间粗纱最小牵伸比E i-min,进而通过数据拟合方式,获得各时段下各通道之间粗纱最小牵伸比分布函数E min(t)。
  7. 根据权利要求6所述一种多通道环锭纺细纱机时序化控制纺纱方法,其特征在于:所述步骤D中还包括步骤D4至步骤D6如下,执行完步骤D3之后,进入步骤D4;
    步骤D4.根据E qi=E i-min/C k,获得各时段中各通道前区牵伸比E qi,然后进入步骤D5;
    步骤D5.获得各时段中各通道后区牵伸比:
    Figure PCTCN2021084019-appb-100020
    其中,E hfi表示各时段中第f通道后区牵伸比,然后进入步骤D6;
    步骤D6.根据如下公式:
    某段纺纱时间:ξ i=l i/V qi;某段纺纱长度:l i=V qi*ξ i;
    累计纺纱时间
    Figure PCTCN2021084019-appb-100021
    某段纺纱前罗拉速度:V qi=n di/T wi;
    累计纺纱长度
    Figure PCTCN2021084019-appb-100022
    分别获得目标成型纱上单段所对应的纺纱时长ξ i,该段纺纱长度l i,前罗拉的速度V qi,累计纺纱时间T i,及所获目标成型纱的累计长度L i。
  8. 一种应用权利要求3至7中任意一项所述一种多通道环锭纺细纱机时序化控制纺纱方法的控制系统,其特征在于:包括感知子系统、纺纱机械执行子系统、本地控制模块,其中,感知子系统与本地控制模块相连接,本地控制模块对接纺纱机械执行子系统;感知子系统包括各位移传感器、各速度传感器、各力传感器、各光传感器、各电传感器、扫描仪、摄像仪、照相机,其中,通过光传感器或电传感器检测成型纱的密度值,通过扫描仪或摄像仪检测成型纱的捻度值、颜色值,通过各速度传感器检测各罗拉的转速,通过各位移传感器、各力传感器检测各通道的牵伸比;
    纺纱机械执行子系统包括相互对接的伺服驱动系统硬件和纺纱机械执行系统硬件,伺服驱动系统硬件用于针对纺纱机械执行系统硬件进行电机转速调节,纺纱机械执行系统硬件即前罗拉、中罗拉、锭子、钢领板、各个后罗拉。
  9. 根据权利要求8所述一种多通道环锭纺细纱机时序化控制纺纱方法的控制系统,其特征在于:还包括与本地控制模块相连接的网络通讯模块,以及经网络通讯模块与本地控制模 块相连接的各个终端与云服务器。
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