Real-time roving single spindle quality monitoring system

Abstract

The invention discloses a roving single spindle quality real-time monitoring system, and relates to the technical field of spinning quality monitoring. Comprising a roving frame, a data acquisition module, a data processing module, a central processing module, a real-time feedback module, a display module and an execution response module, the roving frame is sequentially connected with the data acquisition module, the data processing module, the central processing module and the real-time feedback module, the display module is connected with the real-time feedback module, and the real-time feedback module is connected with the roving frame through the execution response module. Key yarn forming process parameters such as tension and fluctuation of the yarn can be monitored in real time, and the roving production process is accurately controlled.

Description

Technical Field

[0001] The invention relates to the technical field of spinning quality monitoring, and in particular to a real-time monitoring system for the quality of a roving single spindle. Background Art

[0002] As global consumer demand continues to grow and the textile industry continues to develop, my country's textile production capacity continues to expand. However, due to limited management and technical levels, a large number of textile companies' products are becoming increasingly homogenized, resulting in low product quality, weak industrial competitiveness, and limited product added value. At present, high-end lyocell yarn products are generally in the 80s. S For the high value-added high-end product market, high-end 100-140 S Lyocell compact siro-spun yarn can be used to process high-end bedding and clothing fabrics and has huge market potential.

[0003] Due to the small number of fiber roots in the cross section, the high-count lyocell yarn variety is more sensitive to fluctuations in production conditions. At the same time, enterprises must take into account both conventional varieties and high-count yarn varieties under the premise of limited capital costs, site scale, and equipment configuration, and strengthen the high-flexibility response capabilities for small and medium batches and multi-variety products, which puts higher requirements on the production management level of enterprises. To this end, it is necessary to improve the intelligent and flexible production level of enterprises to reduce quality fluctuations caused by manual operations, reduce manual dependence, reduce labor intensity, and simultaneously solve the problems of difficulty in recruiting and employing workers. In this regard, domestic ring spinning equipment has partially realized the unmanned connection between various links in the spinning process, such as cleaning and combing, coarse and fine winding, automatic cotton roll conveying, automatic packaging system for bobbins, online monitoring and intelligent management, data analysis and remote diagnosis, etc., and gradually realize unmanned intelligent spinning workshops, making production more productive, efficient, high-quality and energy-saving.

[0004] In each spinning process, roving is the last preparation process before spinning, and its product performance will directly affect the progress of the spinning process. Therefore, it is of great significance to control the smooth progress of the roving process. The quality control accuracy of the roving production process in the existing technology is low, and the roving production process cannot be accurately controlled according to key spinning process parameters such as yarn tension and its fluctuation.

[0005] Therefore, it is an urgent problem for those skilled in the art to propose a real-time monitoring system for the quality of a single spindle of roving to solve the difficulties existing in the prior art. Summary of the invention

[0006] In view of this, the present invention provides a real-time monitoring system for the quality of a single spindle of roving, which can monitor key spinning process parameters such as yarn tension and its fluctuation in real time, and accurately control the roving production process.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] A real-time monitoring system for the quality of a single roving spindle, comprising: a roving frame, a data acquisition module, a data processing module, a central processing module, a real-time feedback module, a display module, and an execution response module;

[0009] The data acquisition module is connected with the roving frame signal to collect the working status of each spindle position of the roving frame and the operation effect of the spinning parts in real time;

[0010] The data processing module is connected to the data acquisition module signal and is used to process the data collected by the data acquisition module to obtain processed data;

[0011] The central processing module is connected to the data processing module signal and is used to analyze the processed data through the data processing algorithm to obtain the analysis result;

[0012] A real-time feedback module is connected to the central processing module signal, and is used to judge the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm, and perform feedback operations according to the working status of each spindle of the roving frame;

[0013] A display module, connected to the real-time feedback module signal, for displaying the analysis results provided by the data processing algorithm, the working status of each spindle position of the roving frame, and the feedback operation to be performed;

[0014] The execution response module is respectively connected with the real-time feedback module and the roving frame signal. The execution response module is used to execute the feedback operation of the real-time feedback module and act on the roving frame.

[0015] In the above system, optionally, the data acquisition module uses a photoelectric sensor as a signal acquisition unit to collect photoelectric signals, and a single spindle detection photoelectric sensor is installed on each spindle roving frame to continuously monitor the tension of the yarn and its fluctuation.

[0016] In the above system, optionally, the data processing module converts the photoelectric signal into an analog electrical signal and transmits it to the central processing module in real time via a high-speed data transmission line.

[0017] In the above system, optionally, the data processing algorithm in the central processing module adopts signal processing algorithm and machine learning technology.

[0018] In the above system, the real-time feedback module optionally determines the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm and performs feedback operations, including:

[0019] Automatic stop when any roving is broken: the roving frame will stop and alarm when any roving is broken.

[0020] Feedback control: Based on the real-time data of yarn tension, the optimized production process is configured. By comparing and analyzing the sensor data sent back by each spindle, the abnormal level of production status of each spindle is analyzed. If abnormal spindles are found, an alarm or shutdown is issued.

[0021] It can be seen from the above technical solution that, compared with the prior art, the present invention provides a real-time monitoring system for the quality of a single roving spindle, which has the following beneficial effects: 1) significantly improving the management and control accuracy of the roving process and improving the product quality level; 2) by accurately monitoring the tension state of each roving spindle, not only the abnormal spindles are effectively reduced, but also the consistency of the yarn quality and production efficiency are improved; 3) the automated real-time feedback mechanism reduces manual operation and improves the controllability and stability of production. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0023] Figure 1 A structural diagram of a real-time monitoring system for the quality of a single roving spindle provided by the present invention;

[0024] Figure 2 A schematic diagram of the logical structure of the roving quality real-time feedback control system provided by the present invention;

[0025] Figure 3 The photoelectric sensor for detecting a single spindle of a roving frame provided by the present invention;

[0026] Figure 4 The present invention provides real-time display of the quality monitoring of a single spindle of roving. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] In this application, relational terms such as first and second, etc. are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the sentence "comprise one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0029] The present invention discloses a real-time monitoring system for the quality of a single spindle of roving, referring to Figure 1 As shown, it includes: a roving frame, a data acquisition module, a data processing module, a central processing module, a real-time feedback module, a display module, and an execution response module;

[0030] The data acquisition module is connected with the roving frame signal to collect the working status of each spindle position of the roving frame and the operation effect of the spinning parts in real time;

[0031] The data processing module is connected to the data acquisition module signal and is used to process the data collected by the data acquisition module to obtain processed data;

[0032] The central processing module is connected to the data processing module signal and is used to analyze the processed data through the data processing algorithm to obtain the analysis result;

[0033] A real-time feedback module is connected to the central processing module signal, and is used to judge the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm, and perform feedback operations according to the working status of each spindle of the roving frame;

[0034] A display module, connected to the real-time feedback module signal, for displaying the analysis results provided by the data processing algorithm, the working status of each spindle position of the roving frame, and the feedback operation to be performed;

[0035] The execution response module is respectively connected with the real-time feedback module and the roving frame signal. The execution response module is used to execute the feedback operation of the real-time feedback module and act on the roving frame.

[0036] Furthermore, the data acquisition module uses photoelectric sensors as signal acquisition units to collect photoelectric signals. These sensors need to have extremely high accuracy and response speed in order to capture subtle changes in yarn tension in real time during high-speed spinning. Photoelectric sensors detect the presence or motion of objects by emitting and receiving light. The photoelectric sensors used have the characteristics of high resolution, fast response, strong stability, and easy integration.

[0037] Furthermore, single-spindle detection photoelectric sensors are installed on each roving frame. These sensors can continuously monitor and analyze key spinning process parameters such as yarn tension and its fluctuations, thereby guiding the precise control of the roving production process.

[0038] Furthermore, the data processing module collects the data sent back by the sensors and converts the data into useful information. The photoelectric signals collected by each sensor are converted into electrical signal analog quantities. These data are transmitted to the central processing unit in real time through high-speed data transmission lines. The present invention develops a special algorithm to analyze the signals and identify the fluctuation patterns and trends of the yarn tension.

[0039] Furthermore, the data processing algorithm in the central processing module adopts signal processing algorithm and machine learning technology to ensure the accuracy and real-time nature of the analysis.

[0040] Furthermore, the real-time feedback module determines the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm and performs feedback operations, including:

[0041] Automatic stop when any roving is broken: the roving frame will stop and alarm when any roving is broken.

[0042] Feedback control: Based on the real-time data of yarn tension, the optimized production process is configured. By comparing and analyzing the sensor data sent back by each spindle, the abnormal level of production status of each spindle is analyzed. If abnormal spindles are found, an alarm or shutdown is issued.

[0043] In a specific embodiment, referring to Figure 2 As shown, in the spinning technology of high-quality high-count lyocell fiber, in order to effectively improve the quality control accuracy in the roving production process, the quality of the roving single spindle is monitored;

[0044] Reference Figure 3 As shown, the data acquisition module uses n photoelectric sensors as signal acquisition units to collect photoelectric signals. The single spindle detection photoelectric sensors installed on each roving frame collect data information of roving spindles 1-n respectively. These sensors need to have extremely high accuracy and response speed, and can capture subtle changes in yarn tension in real time during high-speed spinning. They can continuously monitor and analyze key spinning process parameters such as yarn tension and its fluctuation, thereby guiding the precise control of the roving production process;

[0045] Collect the data sent back by the sensors, convert them into useful multi-dimensional time series signals, and transmit them to the central processing unit in real time through high-speed data transmission lines;

[0046] Signal processing algorithms and machine learning techniques are used in the central processing unit to convert useful multi-dimensional time series signals into time series prediction models to analyze the operating status of the roving frame;

[0047] The real-time feedback module determines the working status of each spindle of the roving frame and the operating effect of the spinning parts according to the analysis results provided by the data processing algorithm. The specific operations include: 1) Automatic stop due to end breakage: Since the high-count Lyocell yarn is extremely sensitive to fluctuations in the quality of the roving, the continuity of the roving production of each spindle must be guaranteed; based on the roving production status data measured by the sensor, once any roving end breakage is found, the roving frame will stop and alarm; 2) Feedback control: Based on the real-time data of yarn tension, the control system will feedback the fluctuation of the overall production status for reference by the process personnel and configure the optimized production process; at the same time, the system can analyze the abnormal level of the production status of each spindle by comparing and analyzing the sensor data sent back by each spindle. Once an abnormal spindle is found, an alarm or shutdown will be issued depending on the severity of the situation.

[0048] Reference Figure 4 As shown, the quality monitoring of single roving spindles displays the broken yarn spindle number and the number of manually closed spindles in real time for reference by process personnel to configure the optimized production process.

[0049] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0050] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A real-time monitoring system for the quality of a single roving spindle, characterized in that: include: Roving frame, data acquisition module, data processing module, central processing module, real-time feedback module, display module, execution response module; The data acquisition module is connected with the roving frame signal to collect the working status of each spindle position of the roving frame and the operation effect of the spinning parts in real time; The data processing module is connected to the data acquisition module signal and is used to process the data collected by the data acquisition module to obtain processed data; The central processing module is connected to the data processing module signal and is used to analyze the processed data through the data processing algorithm to obtain the analysis result; A real-time feedback module is connected to the central processing module signal, and is used to judge the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm, and perform feedback operations according to the working status of each spindle of the roving frame; A display module, connected to the real-time feedback module signal, for displaying the analysis results provided by the data processing algorithm, the working status of each spindle position of the roving frame, and the feedback operation to be performed; The execution response module is respectively connected with the real-time feedback module and the roving frame signal. The execution response module is used to execute the feedback operation of the real-time feedback module and act on the roving frame.

2. A real-time monitoring system for single-spindle quality of roving according to claim 1, characterized in that: The data acquisition module uses a photoelectric sensor as a signal acquisition unit to collect photoelectric signals. A single spindle detection photoelectric sensor is installed on each spindle roving frame to continuously monitor the yarn tension and its fluctuation.

3. A real-time monitoring system for single-spindle quality of roving according to claim 1, characterized in that: The data processing module converts the photoelectric signal into an analog electrical signal and transmits it to the central processing module in real time through a high-speed data transmission line.

4. A real-time monitoring system for single-spindle quality of roving according to claim 1, characterized in that: The data processing algorithm in the central processing module adopts signal processing algorithm and machine learning technology.

5. The real-time monitoring system for the quality of a single roving spindle according to claim 1 is characterized in that: The real-time feedback module determines the working status of each spindle of the roving frame according to the analysis results provided by the data processing algorithm and performs feedback operations, including: Automatic stop when any roving is broken: the roving frame will stop and alarm when any roving is broken. Feedback control: Based on the real-time data of yarn tension, the optimized production process is configured. By comparing and analyzing the sensor data sent back by each spindle, the abnormal level of production status of each spindle is analyzed. If abnormal spindles are found, an alarm or shutdown is issued.

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