Spinning processing progress automatic tracking system and method

Abstract

The invention discloses a spinning processing progress automatic tracking system and method, and relates to the technical field of automation and sensors.The system comprises a spinning equipment data acquisition module, a spinning equipment data analysis module, a spinning equipment data processing module and a local database. High-precision progress tracking data is provided, manual inspection delay and omission are avoided, the equipment production efficiency is comprehensively evaluated based on multiple indexes such as a blowing completion efficiency index, can replacement efficiency and flyer efficiency in combination with a weight coefficient, the limitation of a single index is broken through, and the single-spindle productivity loss of a spinning frame is dynamically quantified. A preventive maintenance system is constructed by screening low-efficiency equipment, calculating residual use time and three-dimensional visual early warning, and measures such as shutdown maintenance, detection frequency and capacity distribution adjustment and storage of vulnerable accessories in advance are respectively taken for high, medium and light early warning grade equipment, so that the fault loss and the maintenance cost are reduced, and the production management efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of automation and sensor technology, in particular to a spinning processing progress automatic tracking system and method. BACKGROUND

[0002] The prior art has deficiencies in the degree of automation, data integration capability, efficiency evaluation accuracy, and effectiveness of the early warning mechanism in tracking the spinning processing progress, resulting in the inability to accurately track the spinning processing progress and dynamically optimize the performance of the equipment. Therefore, it is necessary to automatically track and process the spinning processing progress of the spinning equipment.

[0003] The prior art, such as the spinning product processing progress automatic tracking system disclosed in the patent application with publication number CN104750018A, includes a seam detection device set at the outlet of the processing machine, which detects the seam signal between two pieces of textile and generates a pulse. After counting by the PLC, the data is read by the computer to realize automatic tracking and monitoring of the processing progress of the textile. The prior art, such as the textile processing progress automatic tracking system and method disclosed in the patent application with publication number CN117011609A, includes the use of a deep neural network to extract features from the loom operation data, generate an abnormal warning classification label, improve the accuracy of progress judgment, and reduce manpower.

[0004] In view of the above solutions, the current spinning processing progress automatic tracking system has the problems of insufficient automation, weak data integration capability, inability to obtain multi-dimensional operation data of the spinning equipment in real time, resulting in one-sided production efficiency evaluation, difficulty in accurately locating the performance degradation node of the equipment, and lack of dynamic early warning mechanism, which leads to frequent equipment sudden failures or excessive maintenance, resulting in fluctuations in the production capacity of the spinning mill, increased energy consumption, and rising maintenance costs, which cannot meet the demand for accurate tracking of the processing progress and equipment health management in modern intelligent production. SUMMARY

[0005] The present application provides a spinning processing progress automatic tracking system and method, which solves the problems in the background art.

[0006] To solve the above technical problems, the present application adopts the following technical solutions: The present application provides a spinning processing progress automatic tracking system in the first aspect, which includes: a spinning equipment data acquisition module: for obtaining the total weight of cotton bales consumed by each spinning equipment in a spinning mill, the total amount of planned processing, the number of replacements of each bobbin, the speed of the flyer, and the state of each single spindle in a target time period. The state of each single spindle includes the length of the yarn tube yarn of each single spindle and the number of doffing of each single spindle.

[0007] The spinning equipment data analysis module is used for calculating the cleaning completion efficiency index of each scutcher in the spinning mill in a target time period, calculating the sliver can replacement efficiency index of each drawing frame in the spinning mill, analyzing the flyer efficiency of each spinning frame in the spinning mill, and comprehensively evaluating the production efficiency of each spinning equipment in the spinning mill.

[0008] The spinning equipment data processing module is used for screening each low-efficiency spinning equipment in the spinning mill in a target time period, calculating the remaining use time length of each low-efficiency spinning equipment in the spinning mill, generating a warning report of each low-efficiency spinning equipment in the spinning mill, analyzing and processing the warning report, and uploading the processing result to the spinning mill terminal.

[0009] The second aspect of the present application provides a spinning processing progress automatic tracking method, comprising the following steps: step 1, spinning equipment data acquisition: obtaining the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the total amount of planned processing, the replacement frequency of each sliver can, the flyer speed and the state of each single spindle in a target time period.

[0010] Step 2, spinning equipment data analysis: used for calculating the cleaning completion efficiency index of each scutcher in the spinning mill in a target time period, calculating the sliver can replacement efficiency index of each drawing frame in the spinning mill, analyzing the flyer efficiency of each spinning frame in the spinning mill, and comprehensively evaluating the production efficiency of each spinning equipment in the spinning mill.

[0011] Step 3, spinning equipment data processing: used for screening each low-efficiency spinning equipment in the spinning mill in a target time period, calculating the remaining use time length of each low-efficiency spinning equipment in the spinning mill, generating a warning report of each low-efficiency spinning equipment in the spinning mill, analyzing and processing the warning report, and uploading the processing result to the spinning mill terminal.

[0012] The beneficial effects of the present application are as follows: (1) the spinning equipment data acquisition module of the present application collects various data of the spinning equipment to provide high-precision data support for progress tracking, avoiding data lag and omission of manual inspection.

[0013] (2) the spinning equipment data analysis module of the present application breaks through the limitation of a single index by calculating the single spindle capacity loss coefficient of the spinning frame, realizing dynamic quantitative analysis of production link loss, and comprehensively evaluating the production efficiency of the equipment by combining the weight coefficient based on the multi-index calculation of the cleaning completion efficiency index, the sliver can replacement efficiency and the flyer efficiency.

[0014] (3) The spinning equipment data processing module of the application screens inefficient equipment, calculates the remaining use time, and provides three-dimensional visual early warning to build a preventive maintenance system, automatically triggers shutdown maintenance for severely early warning equipment, adjusts the detection frequency and production capacity distribution for moderately early warning equipment, reduces failure loss and maintenance cost, reserves spare parts for lightly early warning equipment in advance to reduce future failure risk, and improves production management efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0016] Figure 1 The system module of the present application is shown.

[0017] Figure 2 The method flowchart of the present application is shown. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0019] Referring to Figure 1 The first aspect of the present application provides a spinning processing progress automatic tracking system, comprising: a spinning equipment data acquisition module, a spinning equipment data analysis module, a spinning equipment data processing module and a local database.

[0020] It should be noted that the spinning equipment data acquisition module is connected with the spinning equipment data analysis module, the spinning equipment data analysis module is connected with the spinning equipment data processing module, and the local database is connected with the spinning equipment data acquisition module, the spinning equipment data analysis module and the spinning equipment data processing module.

[0021] It should also be noted that the local database is used to store the cotton bale damage rate of the cotton cleaning machine in each spinning equipment in the spinning mill, the standard number of can replacements of the drawing frame of each spinning equipment in the spinning mill, the standard replacement time, the rated speed threshold of the spinning frame of each spinning equipment in the spinning mill, the standard total output of a single spindle of the spinning frame of each spinning equipment in the spinning mill, the weight coefficient of the cotton cleaning completion efficiency index of the cotton cleaning machine of each spinning equipment in the spinning mill, the weight coefficient of the can replacement efficiency index of the drawing frame, the spindle wing efficiency weight coefficient of the spinning frame, the first-level production efficiency threshold of each spinning equipment in the spinning mill, the cumulative usage time of each inefficient spinning equipment in the spinning mill, the usage critical value, the spindle wing degradation coefficient, the cotton cleaning machine screen wear coefficient, the can transmission gap coefficient, the first-level risk index threshold and the second-level risk index threshold of each inefficient spinning equipment in the spinning mill.

[0022] The spinning equipment data acquisition module is used to obtain the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the total planned processing volume, the number of replacements of each bobbin, the spindle wing speed, and the status of each single spindle within the target time period. The status of each single spindle includes: the length of the bobbin yarn of each single spindle and the number of yarn dropping of each single spindle.

[0023] In a specific embodiment, the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the planned processing total amount, the number of times each bobbin is replaced, the spindle wing speed, and the status of each single spindle are obtained. The specific acquisition method is: the total weight of cotton bales consumed is collected in real time through a weight sensor, the planned processing total amount is directly obtained through the spinning mill terminal, a counting sensor is used to detect the number of times each bobbin is replaced and the number of times each single spindle drops yarn, the spindle wing speed is obtained through a speed sensor, and the yarn length of the single spindle tube is obtained through laser ranging.

[0024] It should be noted that the target time period refers to the time period from the start of spinning by each spinning equipment in the spinning mill to the completion of the total amount of spinning plan.

[0025] The spinning equipment data acquisition module of the present invention provides high-precision data support for progress tracking by collecting various data of the spinning equipment, thereby avoiding data lags and omissions caused by manual inspections.

[0026] The spinning equipment data analysis module is used to calculate the cotton cleaning completion efficiency index of the cotton cleaning machine of each spinning equipment in the spinning mill within the target time period, calculate the can replacement efficiency index of the drawing frame of each spinning equipment in the spinning mill, analyze the spindle efficiency of the spinning frame of each spinning equipment in the spinning mill, and comprehensively evaluate the production efficiency of each spinning equipment in the spinning mill.

[0027] In a specific embodiment of the present invention, the specific method for calculating the cleaning efficiency index of each spinning equipment cleaning machine in the spinning mill is as follows: based on the planned processing total amount A of each spinning equipment in the spinning mill, x , Total weight of cotton bales consumed B x, wherein x represents the number of each spinning equipment in the spinning mill, x = 1, 2, …, m, m is a positive integer greater than 2, the bale damage rate ζ of the scutcher in each spinning equipment in the spinning mill is obtained from the local database x , the scutcher finishing efficiency index of each spinning equipment in the spinning mill is calculated wherein A x > 0.

[0028] In a specific embodiment, the bale damage rate of the scutcher in each spinning equipment in the spinning mill is obtained by collecting the total weight of the bale through a weight sensor, obtaining the speed of the licker-in through a speed sensor, and combining the manually entered bale variety information. The existing random forest regression feature engineering processing method is mature, that is, the total weight of the bale, the speed of the licker-in, and the bale variety information are input into the random forest regression after feature engineering processing, and the bale damage rate of the scutcher in each spinning equipment in the spinning mill is output.

[0029] In a specific embodiment of the present application, the sliver canister replacement efficiency index of the drawing frame in each spinning equipment in the spinning mill is calculated by obtaining the replacement time of each sliver canister of the drawing frame in each spinning equipment through a time sensor, and statistically obtaining the total replacement time of the sliver canister of the drawing frame in each spinning equipment in the spinning mill as D x ′, the total replacement number of the sliver canister as C x ′, and the actual replacement number of the sliver canister of the drawing frame in each spinning equipment in the spinning mill per unit time as

[0030] The standard replacement number E of the sliver canister of the drawing frame in each spinning equipment in the spinning mill is obtained from the local database x , the standard replacement time F of the sliver canister of the drawing frame in each spinning equipment in the spinning mill is obtained from the local database x , and the standard replacement number of the sliver canister of the drawing frame in each spinning equipment in the spinning mill per unit time is The sliver canister replacement efficiency index of the drawing frame in each spinning equipment in the spinning mill is wherein e is a natural constant.

[0031] In a specific embodiment, the standard replacement number and the standard replacement time of the sliver canister of the drawing frame in each spinning equipment in the spinning mill are obtained by statistically processing historical data of the sliver canister replacement of the drawing frame in each spinning equipment in the spinning mill, and combining the experience of process experts to set a reasonable fluctuation range, so as to determine the standard replacement number and the standard replacement time of the sliver canister of the drawing frame in each spinning equipment in the spinning mill.

[0032] In a specific embodiment of the present application, the flyer efficiency of the spinning frame in each spinning equipment in the spinning mill is analyzed by obtaining the speed G x, the yarn length L of each single spindle xz , the doffing frequency H of each single spindle xz , wherein z represents the number of each single spindle, z = 1, 2, …, p, p is a positive integer greater than 2, obtaining the rated speed threshold G of each spinning device spinning frame in the spinning mill from the local database x , if the spindle speed effectiveness of each spinning device spinning frame in the spinning mill is , the total capacity of each single spindle of the spinning device spinning frame in the spinning mill is calculated as

[0033] , the standard total output of each single spindle of the spinning device spinning frame in the spinning mill is obtained from the local database as I x , the single spindle capacity loss coefficient of each spinning device spinning frame in the spinning mill is calculated as , the spindle efficiency γ of each spinning device spinning frame in the spinning mill is analyzed as x x x .

[0034] In a specific embodiment, the rated speed threshold of each spinning device spinning frame in the spinning mill is obtained by setting the rated speed marked in the specification of each spinning device in the spinning mill as the rated speed threshold of each spinning device spinning frame in the spinning mill.

[0035] In a specific embodiment, the standard total output of each single spindle of the spinning device spinning frame in the spinning mill is obtained by statistically summarizing the total output data of each single spindle of each spinning device spinning frame in the historical spinning mill, calculating the average value of the total output of each single spindle of the spinning device in the spinning mill, and setting it as the standard total output of each single spindle of the spinning device spinning frame in the spinning mill.

[0036] In a specific embodiment of the present application, the production efficiency of each spinning device in the spinning mill is comprehensively evaluated by obtaining the cleaning completion efficiency index weight coefficient ω1 of each spinning device scutcher, the can more replacement efficiency index weight coefficient ω2 of each spinning frame, and the spindle efficiency weight coefficient ω3 of each spinning frame from the local database, and comprehensively evaluating the production efficiency η of each spinning device in the spinning mill x x x x .

[0037] ​​​​​In one specific embodiment, the weight coefficients of the picking completion efficiency index of the scutcher, the sliver can replacing efficiency index of the drawing frame and the flyer efficiency weight coefficient of the spinning frame in the spinning mill are obtained, and the specific obtaining method is as follows: according to the common knowledge and the process department experts, the weight coefficients of the picking completion efficiency index of the scutcher, the sliver can replacing efficiency index of the drawing frame and the flyer efficiency weight coefficient of the spinning frame in the spinning mill are added to 1, for example, the weight coefficient of the picking completion efficiency index of the scutcher in the spinning mill is valued as 0.4, the weight coefficient of the sliver can replacing efficiency index of the drawing frame is valued as 0.2, and the weight coefficient of the flyer efficiency of the spinning frame is valued as 0.4.

[0038] The spinning equipment data analysis module of the application breaks through the limitation of a single index, realizes dynamic quantitative analysis of the production link loss by calculating the single spindle capacity loss coefficient of the spinning frame, and comprehensively evaluates the production efficiency of the equipment by combining the weight coefficients based on the multi-index calculation of the picking completion efficiency index, the sliver can replacing efficiency and the flyer efficiency.

[0039] The spinning equipment data processing module is used for screening each low-efficiency spinning equipment in the spinning mill in a target time period, calculating the remaining use time length of each low-efficiency spinning equipment in the spinning mill, generating a warning report of each low-efficiency spinning equipment in the spinning mill, analyzing and processing the warning report, and uploading the processing result to the spinning mill terminal.

[0040] In the specific embodiment of the application, the specific method for screening each low-efficiency spinning equipment in the spinning mill is as follows: the first production efficiency threshold of each spinning equipment in the spinning mill is obtained from the local database, if the production efficiency of a certain equipment is less than the first production efficiency threshold, the equipment is marked as a low-efficiency spinning equipment, and then each low-efficiency spinning equipment in the spinning mill is screened.

[0041] In the specific embodiment of the application, the specific method for calculating the remaining use time length of each low-efficiency spinning equipment in the spinning mill is as follows: the cumulative use time length T of each low-efficiency spinning equipment in the spinning mill is obtained from the local database, the use critical value T is obtained, the flyer degradation coefficient J is obtained, the scutcher screen wear coefficient K is obtained, the sliver can driving gap coefficient R is obtained, and the degradation comprehensive factor of each low-efficiency spinning equipment in the spinning mill is calculated as x x x x x The remaining use time length of each low-efficiency spinning equipment in the spinning mill is calculated as

[0042] ​​​​​In a specific embodiment, the critical usage value of each inefficient spinning equipment in the spinning mill is obtained by setting the service life specified in the instruction manual of each spinning equipment in the spinning mill as the critical usage value of each spinning equipment in the spinning mill.

[0043] In a specific embodiment, the flyer degradation coefficient, the cleaning machine screen wear coefficient, and the can transmission clearance coefficient are obtained by using a vibration sensor to obtain the actual vibration amplitude J of the flyer of each inefficient equipment in the spinning mill. x ' and the standard vibration amplitude J set according to the rated vibration amplitude of each inefficient equipment in the spinning mill in the specification x ”, calculate the flyer degradation coefficient of each inefficient equipment in the spinning mill J x ∈[0,3], using machine vision to obtain the actual aperture K of the cotton cleaning machine screen of each inefficient equipment in the spinning mill x ' and the standard aperture K of the cotton cleaning machine screen marked in the manual x ″, calculate the screen wear coefficient of each low-efficiency equipment Where e is a natural constant, and the actual measured clearance R of the can transmission of each inefficient device is obtained by a laser displacement sensor. x ' and the maximum clearance R of the cans of each inefficient equipment marked in the description x ″, calculate the transmission clearance coefficient of each inefficient equipment

[0044] In a specific embodiment of the present invention, the method for generating an early warning report of each inefficient spinning equipment in the spinning mill is as follows: according to the cumulative usage time T of each inefficient spinning equipment in the spinning mill, x , using the critical value T x ′, calculate the standard remaining usage time θ of each inefficient spinning equipment in the spinning mill x ′=T x ′-T x , then the risk index of each inefficient spinning equipment in the spinning mill is

[0045] The first-level risk index threshold and second-level risk index threshold of each inefficient spinning equipment in the spinning mill are obtained from the local database, and the three-dimensional visualization distribution of each severe warning equipment, each moderate warning equipment, each mild warning equipment and the red area, yellow area and green area corresponding to each warning equipment are mapped to generate a warning report for each inefficient spinning equipment in the spinning mill including a three-dimensional visualization warning interface.

[0046] It should be noted that the maximum remaining usage time of each inefficient spinning equipment in the spinning mill can only be equal to the standard remaining usage time of each inefficient spinning equipment in the spinning mill.

[0047] In one specific embodiment, the acquisition of the first risk index threshold value and the second risk index threshold value of each inefficient spinning equipment in the spinning mill, the mapping of each severe early warning equipment, each moderate early warning equipment, each mild early warning equipment and the corresponding red area, yellow area and green area of the three-dimensional visualization distribution, the specific acquisition method is: according to the historical data of each inefficient equipment combined with the risk index specified in the specification of each inefficient equipment, the first risk index threshold value and the second risk index threshold value of each inefficient spinning equipment in the spinning mill are comprehensively evaluated, when the risk index of a certain inefficient spinning equipment is less than or equal to the first risk index threshold value, the inefficient spinning equipment is marked as a severe early warning equipment, and the color of the three-dimensional visualization distribution is red, when the risk index of a certain inefficient spinning equipment is greater than the first risk index threshold value and less than or equal to the second risk index threshold value, the inefficient spinning equipment is marked as a moderate early warning equipment, and the color of the three-dimensional visualization distribution is yellow, when the risk index of a certain inefficient spinning equipment is greater than the second risk index threshold value, the inefficient spinning equipment is marked as a mild early warning equipment, and the color of the three-dimensional visualization distribution is green.

[0048] In a specific embodiment of the present application, the processing result of the early warning report is uploaded to the spinning mill terminal, and the specific method is: according to the risk index of each inefficient spinning equipment in the spinning mill, the spindle crack and the cleaning machine screen wear of each severe early warning equipment in the red area are automatically calibrated in the three-dimensional visualization early warning interface through image recognition algorithm, the device operation spindle is immediately suspended for non-destructive testing, the spindle parts with excessive wear are replaced, and the cleaning machine screen is cleaned or replaced, the spindle degradation coefficient, the cleaning machine screen wear coefficient and the canister transmission gap coefficient index detection frequency of the yellow area are increased, if each index is found to exceed the normal value, an interim early warning is triggered immediately, and the report is upgraded to a severe early warning, the order quantity of each moderate early warning equipment is reduced, the spindle degradation coefficient, the cleaning machine screen wear coefficient and the canister transmission gap coefficient of the green area are calculated, the vulnerable parts are reserved in advance, and the future failure risk is reduced, and the data of each index and maintenance of each inefficient spinning equipment in the three-dimensional visualization early warning interface of the terminal system is updated in real time.

[0049] It should be further pointed out that the data refers to the number of times of maintenance of the spindle parts, the cleaning machine screen and the canister related connection transmission parts.

[0050] The spinning equipment data processing module of the present application screens the inefficient equipment, calculates the remaining use time and the three-dimensional visualization early warning, constructs a preventive maintenance system, automatically triggers the shutdown and maintenance of the severe early warning equipment, adjusts the detection frequency and production capacity distribution of the moderate early warning equipment, reduces the failure loss and maintenance cost, reserves the vulnerable parts of the mild early warning equipment in advance, reduces the future failure risk and improves the production management efficiency.

[0051] Reference Figure 2 The second aspect of the present application provides an automatic tracking method for spinning process progress, comprising: step 1. data acquisition of spinning equipment, step 2. data analysis of spinning equipment, and step 3. data processing of spinning equipment.

[0052] Step 1. Data acquisition of spinning equipment: the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the total amount of planned processing, the replacement frequency of each bobbin, the speed of flyer, and the state of each single spindle are obtained in a target time period. The state of each single spindle includes the length of yarn on the bobbin and the doffing frequency of each single spindle.

[0053] Step 2. Data analysis of spinning equipment: the cleaning completion efficiency index of each spinning equipment cleaner in the spinning mill is calculated in the target time period, and the bobbin replacement efficiency index of each spinning equipment drawing frame in the spinning mill is calculated. The flyer efficiency of each spinning equipment spinning frame in the spinning mill is analyzed, and the production efficiency of each spinning equipment in the spinning mill is comprehensively evaluated.

[0054] Step 3. Data processing of spinning equipment: each low-efficiency spinning equipment in the spinning mill is screened out in the target time period, the remaining use time of each low-efficiency spinning equipment in the spinning mill is calculated, a warning report for each low-efficiency spinning equipment in the spinning mill is generated, the warning report is analyzed and processed, and the processing result is uploaded to the terminal of the spinning mill.

[0055] The above content is only an example and explanation of the concept of the present application. Those skilled in the art can make various modifications, supplements or substitutions to the described specific embodiments using similar methods, as long as they do not deviate from the concept of the present application or exceed the scope defined by the present application, and all of them should belong to the protection scope of the present application.

Claims

1. A spinning process progress automatic tracking system, characterized in that: include: Spinning equipment data acquisition module: used to obtain the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the total planned processing volume, the number of replacements of each bobbin, the spindle flyer speed, and the status of each spindle in the target time period. The status of each spindle includes: the length of the bobbin yarn of each spindle and the number of doffing times of each spindle; Spinning equipment data analysis module: used to calculate the cotton cleaning completion efficiency index of each spinning equipment in the spinning mill during the target time period, calculate the can replacement efficiency index of each spinning equipment drawing frame in the spinning mill, analyze the flyer efficiency of each spinning equipment in the spinning mill, and comprehensively evaluate the production efficiency of each spinning equipment in the spinning mill; Spinning equipment data processing module: used to screen out inefficient spinning equipment in the spinning mill within the target time period, calculate the remaining usage time of each inefficient spinning equipment in the spinning mill, generate early warning reports for each inefficient spinning equipment in the spinning mill, analyze and process the early warning reports, and upload the processing results to the spinning mill terminal.

2. The automatic tracking system for spinning process progress according to claim 1, characterized in that: The specific method for calculating the cleaning efficiency index of each spinning equipment cleaning machine in the spinning mill is as follows: According to the planned processing volume A of each spinning equipment in the spinning mill x , Total weight of cotton bales consumed B x , where x represents the number of each spinning equipment in the spinning mill, x = 1, 2, ..., m, m is a positive integer greater than 2, and the cotton bale damage rate ζ of the cotton cleaning machine in each spinning equipment in the spinning mill is obtained from the local database x , calculate the cotton cleaning efficiency index of each spinning equipment in the spinning mill Among them A x>0。 3. The automatic tracking system for spinning process progress according to claim 2, characterized in that: The specific method for calculating the can replacement efficiency index of each spinning equipment drawing frame in the spinning mill is as follows: According to the number of replacements of each can of the drawing frame in each spinning equipment, the time sensor is used to obtain the time taken to replace each can of the drawing frame in each spinning equipment. The total time taken to replace the cans of the drawing frame in each spinning equipment in the spinning mill is calculated as D x ', the total number of can replacements is C x ′, then the actual number of can changes per unit time of each spinning equipment draw frame in the spinning mill is Obtain the standard can replacement times E of each spinning equipment and draw frame of the spinning mill from the local database x 、Standard replacement takes a long timeF x , then the standard replacement times of the cans of each spinning equipment and drawing frame in the spinning mill within a unit time is Can replacement efficiency index of each spinning equipment draw frame in a spinning mill Where e is a natural constant.

4. The automatic tracking system for spinning process progress according to claim 3, characterized in that: The specific method for analyzing the flyer efficiency of each spinning equipment spinning frame in the spinning mill is as follows: According to the spindle speed G of each spinning equipment in the spinning mill x , the length of the bobbin yarn of each single spindle L xz , the number of doffing times of each spindle H xz , where z represents the number of each spindle, z = 1, 2, ..., p, p is a positive integer greater than 2, and the rated speed threshold G of each spinning machine in the spinning mill is obtained from the local database x ′, then the effectiveness of the spindle speed of each spinning equipment spinning frame in the spinning mill is Calculate the total production capacity of each spindle of the spinning machine in the spinning mill as The total standard output of each spinning machine spindle in the spinning mill is obtained from the local database as I x , calculate the single spindle capacity loss coefficient of each spinning equipment spinning frame in the spinning mill as Then analyze the flyer efficiency γ of each spinning equipment in the spinning mill x =δ x ×φ x ×100%.

5. The automatic tracking system for spinning process progress according to claim 4, characterized in that: The specific method for comprehensively evaluating the production efficiency of each spinning equipment in the spinning mill is as follows: The weight coefficient ω1 of the cotton cleaning machine's cleaning efficiency index, the weight coefficient ω2 of the draw frame's can replacement efficiency index, and the weight coefficient ω3 of the spinning frame's flyer efficiency are obtained from the local database to comprehensively evaluate the production efficiency η of each spinning equipment in the spinning mill. x =ω1·α x +ω2·χ x +ω3·γ x .

6. The automatic tracking system for spinning process progress according to claim 5, characterized in that: The specific method for screening out the inefficient spinning equipment in the spinning mill is as follows: The first-level production efficiency threshold of each spinning equipment in the spinning mill is obtained from the local database. If the production efficiency of a certain equipment is less than the first-level production efficiency threshold, the equipment is marked as inefficient spinning equipment, and then the inefficient spinning equipment in the spinning mill is screened.

7. The automatic tracking system for spinning process progress according to claim 2, characterized in that: The specific method for calculating the remaining usage time of each inefficient spinning equipment in the spinning mill is as follows: Obtain the cumulative usage time T of each inefficient spinning equipment in the spinning mill from the local database x , using the critical value T x ', flyer degradation coefficient J x , Cotton cleaning machine screen wear coefficient K x , Strip can transmission clearance coefficient R x , calculate the comprehensive degradation factor of each inefficient spinning equipment in the spinning mill as Calculate the remaining usage time of each inefficient spinning equipment in the spinning mill 8. The automatic tracking system for spinning process progress according to claim 7, characterized in that: The specific method of generating the early warning report of each inefficient spinning equipment in the spinning mill is as follows: According to the cumulative usage time T of each inefficient spinning equipment in the spinning mill x , using the critical value T x ′, calculate the standard remaining usage time θ of each inefficient spinning equipment in the spinning mill x ′=T x ′-T x , then the risk index of each inefficient spinning equipment in the spinning mill is The first-level risk index threshold and second-level risk index threshold of each inefficient spinning equipment in the spinning mill are obtained from the local database, and the three-dimensional visualization distribution of each severe warning equipment, each moderate warning equipment, each mild warning equipment and the red area, yellow area and green area corresponding to each warning equipment are mapped to generate a warning report for each inefficient spinning equipment in the spinning mill including a three-dimensional visualization warning interface.

9. The automatic tracking system for spinning process progress according to claim 8, characterized in that: The specific method of analyzing and processing the early warning report and uploading the processing results to the spinning mill terminal is as follows: Based on the risk index of each inefficient spinning equipment in the spinning mill, the image recognition algorithm is used to automatically calibrate the flyer cracks and cotton cleaner screen wear of each severe warning equipment in the red area in the three-dimensional visual early warning interface, and the equipment is immediately suspended to carry out non-destructive testing of the flyer, replace the flyer parts that exceed the wear standard, clean or replace the cotton cleaner screen, and increase the detection frequency of the flyer degradation coefficient, cotton cleaner screen wear coefficient, and can transmission gap coefficient indicators in the yellow area. If it is found that each indicator exceeds the normal value, a temporary warning will be triggered immediately and upgraded to a severe warning report. At the same time, the order quantity of each moderate warning equipment will be reduced. The flyer degradation coefficient, cotton cleaner screen wear coefficient, and can transmission gap coefficient of the green area will be calculated, and vulnerable parts will be reserved in advance to reduce the risk of future failures. In the terminal system, the equipment detection indicators and maintenance data of each inefficient spinning equipment in the spinning mill in each area of ​​the three-dimensional visual early warning interface will be updated in real time.

10. An automatic tracking method for executing the spinning process progress automatic tracking system according to any one of claims 1 to 9, characterized in that: include: Step 1. Spinning equipment data collection: During the target time period, the total weight of cotton bales consumed by each spinning equipment in the spinning mill, the planned total processing volume, the number of times each bobbin was replaced, the spindle flyer speed, and the status of each spindle, including the bobbin yarn length and the number of doffing times of each spindle, are obtained. Step 2. Spinning Equipment Data Analysis: This is used to calculate the blowroom completion efficiency index of the cotton cleaners of each spinning equipment in the spinning mill during the target time period, calculate the can replacement efficiency index of the draw frames of each spinning equipment in the spinning mill, analyze the flyer efficiency of each spinning frame in the spinning mill, and comprehensively evaluate the production efficiency of each spinning equipment in the spinning mill; Step 3. Spinning equipment data processing: used to screen out inefficient spinning equipment in the spinning mill during the target time period, calculate the remaining usage time of each inefficient spinning equipment in the spinning mill, generate an early warning report for each inefficient spinning equipment in the spinning mill, analyze and process the early warning report, and upload the processing results to the spinning mill terminal.

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