Intelligent spade board machine control method and system based on spinning production

Abstract

This invention discloses a control method and system for an intelligent spinneret cleaning machine based on spinning production, belonging to the field of intelligent control technology for spinnerets. The method includes: comparing and processing real-time production video of the spinneret based on its surface image to obtain the real-time spinning breakage rate; performing comparative analysis on the real-time spinning breakage rate to select cleaning data for the intelligent spinneret cleaning machine to clean the spinneret surface. This invention calculates the real-time spinning breakage rate of the spinneret during production, then matches the spinneret maintenance information with this rate to select cleaning data suitable for the spinneret's real-time spinning breakage rate. Finally, the intelligent spinneret cleaning robot cleans the spinneret using this cleaning data. This method not only ensures that the spinning breakage rate meets standards but also avoids the use of excessive cleaning materials, reducing the production cost of spinning.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for scraper machines, specifically to an intelligent scraper machine control method and system based on spinning production. Background Technology

[0002] Intelligent spinneret cleaning machines, also known as spinneret robots, are used in the production of synthetic fibers (such as polyester and nylon) where polymer degradation products and spinning silicone oil crystals periodically adhere to the surface of the spinneret. These contaminants can clog the spinneret orifices, affecting melt extrusion and leading to yarn breakage, fuzz, or even production interruption. Therefore, regular cleaning is essential.

[0003] When the intelligent spinneret cleaning machine cleans the spinneret, it needs to use cleaning materials. If too little cleaning material is used, the spinneret's yarn breakage rate will not meet the production standards. If too much cleaning material is used, it will increase the production cost of spinning. Summary of the Invention

[0004] To solve the above-mentioned technical problems, an intelligent shovel machine control method and system based on spinning production is provided. This technical solution solves the problems mentioned in the background technology.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A control method for an intelligent scraper machine based on spinning production includes: The surface image of the spinneret and the real-time production video of the spinneret are acquired. Based on the surface image of the spinneret, the real-time production video of the spinneret is compared and processed to obtain the real-time spinning breakage rate of the spinneret. The real-time spinneret breakage rate was compared and analyzed, and the cleaning data of the spinneret surface was selected by the intelligent spinneret scraper. Obtain the starting position of the intelligent shovel machine, and construct a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; The coordinate data of the spinneret that does not meet the spinning breakage rate standard is input into the intelligent spinneret cleaning machine. The intelligent spinneret cleaning machine cleans the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard.

[0006] Preferably, the steps of acquiring the surface image of the spinneret and the real-time production video of the spinneret, and comparing the data of the real-time production video of the spinneret based on the surface image of the spinneret to obtain the real-time spinning breakage rate of the spinneret specifically include the following steps: Image acquisition and processing were performed on spinnerets that were not in production and those that were in production, respectively, to obtain surface images of the spinnerets and real-time production videos of the spinnerets; Feature data acquisition and processing are performed on the surface image of the spinneret to obtain the total number of spinneret holes on the surface of the spinneret and the location of each spinneret hole; Based on the total number of spinnerets on the spinneret surface and the location of each spinneret, the real-time production video of the spinneret is processed to obtain the real-time spinneret breakage rate.

[0007] Preferably, the step of performing data calculation and processing on the real-time production video of the spinneret based on the total number of spinneret holes on the spinneret surface and the location of each spinneret hole to obtain the real-time spinning breakage rate of the spinneret specifically includes the following steps: Based on the location of each spinneret hole, the real-time production video of the spinneret is processed for position matching to determine the location of each spinneret hole in the production video. Based on the location of each spinneret hole in the production video, the number of spun fibers in the real-time production video of the spinneret is counted to obtain the total number of spun fibers in the real-time production video of the spinneret. The real-time total number of spinnerets and the total number of spinneret holes on the spinneret surface are calculated to obtain the real-time spinneret breakage rate.

[0008] Preferably, the comparative analysis of the real-time spinneret breakage rate and the selection of an intelligent spinneret cleaning machine to process the spinneret surface cleaning data specifically include the following steps: Based on the serial number of each spinning machine, the database system is used to retrieve and process data to obtain the maintenance information of the spinning machine. Feature data extraction and processing are performed on the maintenance information of the spinning machine to obtain the specific cleaning time data of the spinneret and the cleaning data used by the spinneret; Based on the serial number information of each spinning machine and the specific cleaning time data of the spinneret, the database system is used to retrieve and process the data to obtain the spinning breakage rate before the spinneret is not cleaned and the spinning breakage rate after the spinneret is cleaned. Based on the spinning breakage rate before and after the spinneret is cleaned, the real-time spinning breakage rate of the spinneret is compared and analyzed, and the cleaning data of the spinneret surface is selected by an intelligent spinneret scraper.

[0009] Preferably, the step of comparing and analyzing the real-time spinning breakage rate of the spinneret based on the spinning breakage rate before and after cleaning the spinneret, and selecting an intelligent spinneret cleaning machine to process the cleaning data of the spinneret surface, specifically includes the following steps: Based on the real-time spinning breakage rate of the spinneret, the difference between the spinning breakage rate before the spinneret is cleaned is calculated to obtain the spinning breakage rate difference. If the difference in spinning breakage rate is less than or equal to the set threshold for spinning breakage rate difference, the spinning breakage rate after spinneret cleaning corresponding to the difference in spinning breakage rate will be screened out to obtain the spinning breakage rate after spinneret cleaning to be selected. Based on the minimum value function, the spinning breakage rate after cleaning the selected spinneret is sorted to obtain the sorted set of spinning breakage rates after cleaning. Data comparison processing was performed on the sorted set of spinneret breakage rates after cleaning, and the cleaning data of the spinneret surface was selected by the intelligent scraper machine.

[0010] Preferably, the step of performing data comparison processing on the sorted set of cleaned spinning breakage rates, and selecting the cleaning data of the spinneret surface by the intelligent spinneret scraper specifically includes the following steps: Data filtering was performed on the sorted set of spinning breakage rates after cleaning to obtain the set of minimum data values. Based on the set of minimum data values, data matching processing is performed on the cleaning data used by the spinneret to obtain the cleaning data used by the spinneret corresponding to the minimum data value. The cleaning data corresponding to the minimum value of the spinneret, which uses the least amount of cleaning material, is set as the cleaning data for the spinneret surface by the intelligent spinneret scraper.

[0011] Preferably, obtaining the starting position of the intelligent shovel machine and constructing a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine specifically includes the following steps: A three-dimensional spatial coordinate system is constructed with the starting position of the intelligent shovel machine as the origin; The X-axis of the three-dimensional spatial coordinate system is the connection direction of the connecting track between the intelligent shovel machine and the spinning machine; The Y-axis of the three-dimensional spatial coordinate system is perpendicular to the track connecting the intelligent shovel machine and the spinning machine, and the Y-axis of the three-dimensional spatial coordinate system is parallel to the ground. The Z-axis of the three-dimensional spatial coordinate system is perpendicular to the track connecting the intelligent shovel machine and the spinning machine, and the Z-axis of the three-dimensional spatial coordinate system is perpendicular to the ground.

[0012] Preferably, the step of inputting the coordinate data of the spinneret that does not meet the spinning breakage rate standard into the intelligent spinneret cleaning machine, and the intelligent spinneret cleaning machine cleaning the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard, specifically includes the following steps: Based on the spinning breakage rate after cleaning the selected spinneret, the spinning machine is matched to obtain the spinning machine to be cleaned. Based on a three-dimensional spatial coordinate system, coordinate matching processing is performed on the spinning machine to be cleaned to determine the three-dimensional spatial coordinates of the spinning machine to be cleaned. The intelligent spinneret cleaning machine cleans the spinneret based on the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned.

[0013] Furthermore, a smart shovel machine control system based on spinning production is proposed to implement the aforementioned smart shovel machine control method based on spinning production, including: The intelligent control terminal is used to control the data transmission and information interaction between various modules. The intelligent control terminal is used to control the various modules to compare and process the real-time spinning breakage rate of the spinneret and select the cleaning data of the spinneret surface by the intelligent scraper. A database system is used to store relevant data about the spinning machine; The image acquisition module is used to acquire and process images of the spinneret to obtain surface images of the spinneret and real-time production videos of the spinneret. The spinning breakage rate calculation module is used to calculate the real-time total number of spinnerets and the total number of spinneret holes on the surface of the spinneret to obtain the real-time spinning breakage rate of the spinneret. The cleaning data filtering module filters the maintenance information of the spinning machine based on the real-time breakage rate of the spinneret, and selects the cleaning data of the spinneret surface from the intelligent spinneret scraper. A coordinate system construction module, which constructs a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; The intelligent spinneret cleaning machine cleans the spinneret based on the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned.

[0014] Compared with the prior art, the present invention provides a control method and system for an intelligent scraper machine based on spinning production, which has the following beneficial effects: This invention calculates the real-time breakage rate of the spinning spinneret during production, then matches the spinneret's maintenance information with this rate to select cleaning data that matches the breakage rate. Finally, an intelligent spinneret cleaning robot cleans the spinneret using this data. This method not only ensures that the breakage rate meets standards but also minimizes the use of cleaning materials, thus reducing spinning production costs. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating steps S100-S400 in the intelligent shovel machine control method based on spinning production proposed in this invention. Figure 2 This is a structural block diagram of an intelligent scraper control system based on spinning production proposed in this invention. Detailed Implementation

[0016] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0017] Reference Figure 1 As shown, a control method for an intelligent scraper machine based on spinning production includes: S100. Obtain the surface image of the spinneret and the real-time production video of the spinneret. Based on the surface image of the spinneret, perform data comparison processing on the real-time production video of the spinneret to obtain the real-time spinning breakage rate of the spinneret. S200: Compare and analyze the real-time spinneret breakage rate, and select an intelligent spinneret cleaning machine to clean the spinneret surface. S300: Obtain the starting position of the intelligent shovel machine and construct a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; S400: Input the coordinate data of the spinneret that does not meet the spinning breakage rate standard into the intelligent spinneret cleaning machine. The intelligent spinneret cleaning machine cleans the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard. Those skilled in the art will understand that as spinning production progresses, crystals and impurities will appear near the spinneret orifices. These crystals and impurities can clog the spinnerets, causing the filaments ejected from the spinnerets to become thinner or break. Excessive filament breakage (i.e., filament breakage) leads to waste of raw materials and increases spinning production costs. Therefore, it is necessary to compare the breakage rate of each spinneret to determine if it meets the standard. If it does, cleaning the spinneret is unnecessary; if it does not meet the standard, cleaning is required to reduce the filament breakage rate. However, when cleaning the spinneret, it is necessary to ensure that… Using cleaning materials, such as high-temperature molten salt, organic solvents, and acid / alkali solutions, can lead to waste. While using excessive cleaning materials can ensure the spinneret breakage rate meets production standards, it also results in incomplete cleaning of the spinneret. Conversely, using insufficient cleaning materials will result in an incomplete spinneret cleaning and a breakage rate that does not meet production standards. Therefore, the maintenance information of the spinning machine is matched with the real-time spinneret breakage rate to select cleaning data that is compatible with the spinneret's real-time breakage rate. Finally, the intelligent spinneret cleaning machine cleans the spinneret using the compatible cleaning data, ensuring the use of minimal cleaning materials and maintaining the spinneret breakage rate that meets production standards.

[0018] Example 1

[0019] Step S100: Obtain the surface image of the spinneret and the real-time production video of the spinneret. Based on the surface image of the spinneret, perform data comparison processing on the real-time production video of the spinneret to obtain the real-time spinning breakage rate of the spinneret. This specifically includes the following steps: S101. Perform image acquisition and processing on the spinnerets that are not in production and those that are in production respectively, to obtain surface images of the spinnerets and real-time production videos of the spinnerets. S102. Perform feature data acquisition and processing on the surface image of the spinneret to obtain the total number of spinneret holes on the surface of the spinneret and the location of each spinneret hole. Spinning involves extruding polymer melt / solution into filaments through spinnerets. Therefore, the number of spinnerets determines the production quantity. To determine the breakage rate, the number of spinnerets must first be determined. However, collecting the number of spinnerets from a spinning spinneret in production would be time-consuming because the spinnerets are currently spinning. If some filaments break, they may cover the spinnerets, resulting in an incorrect number of spinnerets. Therefore, data should be collected from spinnerets that are not in production and have just been cleaned. If the spinnerets are not cleaned, crystals and impurities may clog the spinnerets, making it impossible to determine whether a location is a spinneret during data collection, thus making it impossible to accurately determine the number of spinnerets. S103. Based on the total number of spinnerets on the spinneret surface and the location of each spinneret, perform data calculation and processing on the real-time production video of the spinneret to obtain the real-time spinneret breakage rate.

[0020] Specifically, step S103, which involves processing the real-time production video of the spinneret based on the total number of spinneret holes on the spinneret surface and the location of each spinneret hole, to obtain the real-time yarn breakage rate of the spinneret, includes the following steps: S1031. Based on the location of each spinneret hole, perform position matching processing on the real-time production video of the spinneret plate to determine the location of each spinneret hole in the production video. S1032. Based on the location of each spinneret hole in the production video, count the number of spinnerets in the real-time production video of the spinneret to obtain the total number of spinnerets in real-time. S1033. Calculate the real-time total number of spinnerets and the total number of spinneret holes on the spinneret surface to obtain the real-time spinneret breakage rate. In this embodiment, once the position of each spinneret is determined, the spinnerets in the production video can be located. Then, the spinning of each spinneret is counted. If a spinneret does not eject any spinning, it indicates that the spinneret is blocked. Therefore, by calculating the number of spinnings ejected from the spinnerets (i.e., the total number of spinnings in real time on the spinneret) and the total number of spinnerets on the surface of the spinneret, the real-time spinning breakage rate of the spinneret can be determined. Subsequently, the real-time spinning breakage rate of the spinneret is judged to determine whether it meets the production standard. If it meets the production standard, the spinneret is not cleaned temporarily. If it does not meet the production standard, spinning production is stopped, and the spinneret is cleaned by an intelligent scraper.

[0021] Example 2

[0022] Step S200: Compare and analyze the real-time spinneret breakage rate, and select an intelligent spinneret cleaning machine to clean the spinneret surface. Specific steps include: S201. Based on the serial number information of each spinning machine, perform data retrieval and processing on the database system to obtain the maintenance information of the spinning machine. S202. Perform feature data extraction processing on the maintenance information of the spinning machine to obtain the specific cleaning time data of the spinneret and the cleaning data used by the spinneret. S203. Based on the serial number information of each spinning machine and the specific cleaning time data of the spinneret, the database system is processed to obtain the spinning breakage rate before the spinneret is not cleaned and the spinning breakage rate after the spinneret is cleaned. S204. Based on the spinning breakage rate before the spinneret is not cleaned and the spinning breakage rate after the spinneret is cleaned, the real-time spinning breakage rate of the spinneret is compared and analyzed, and the cleaning data of the spinneret surface is selected by the intelligent spinneret scraper. Understandably, the spinning machine's maintenance information records not only machine maintenance details but also spinneret cleaning information. Therefore, the specific cleaning time and dosage of the cleaning material used (i.e., the cleaning data for the spinneret) can be obtained from the spinning machine's maintenance information. Then, by retrieving data from the database system based on the specific cleaning time data, the spinning breakage rate before the spinneret was not cleaned (i.e., the spinning breakage rate did not meet production standards) and the spinning breakage rate after the spinneret was cleaned (i.e., the spinning breakage rate met production standards) can be obtained. It is worth noting that the spinning breakage rate before the spinneret was not cleaned might be 20%, 15%, 25%, etc., while the spinning breakage rate after the spinneret was cleaned might be 1%, 0%, etc. However, the dosage of cleaning material used to clean these spinnerets may differ. For example, the dosage of cleaning material used for a spinneret with a breakage rate of 20% and 15% before cleaning is the same, and the breakage rate after cleaning is 0%. For instance, if the dosage of cleaning material used for a spinneret with a breakage rate of 20% and 15% before cleaning is 20ml, then the dosage of cleaning material used for a spinneret with a breakage rate of 15% before cleaning is too high, resulting in waste of cleaning material. Therefore, a dosage of less than 20ml can be used to clean a spinneret with a breakage rate of 15% before cleaning. Specifically, step S204 involves comparing and analyzing the real-time spinning breakage rate of the spinneret before and after cleaning, based on the spinning breakage rate of the spinneret before cleaning and after cleaning. The cleaning data of the spinneret surface using an intelligent spinneret scraper includes the following steps: S2041. Based on the real-time spinning breakage rate of the spinneret, the spinning breakage rate before the spinneret is not cleaned is calculated by subtraction to obtain the spinning breakage rate difference. S2042. If the difference in spinning breakage rate is less than or equal to the set threshold for the difference in spinning breakage rate, the spinning breakage rate after the spinneret is cleaned corresponding to the difference in spinning breakage rate is selected to obtain the spinning breakage rate after the spinneret is cleaned to be selected. S2043. Based on the minimum value function, sort the spinning breakage rate after cleaning the selected spinneret to obtain the sorted set of spinning breakage rates after cleaning. S2044. Compare and process the data of the sorted set of spinning breakage rates after cleaning, and select the cleaning data of the spinneret surface by the intelligent scraper machine. Understandably, the real-time spinning breakage rate of the spinneret is classified based on the spinning breakage rate before the spinneret is cleaned. For example, if the real-time spinning breakage rate of the spinneret is 12%, and the spinning breakage rate before the spinneret is cleaned is greater than 10%, the difference between the two is calculated, and the data with a difference of less than 1% are grouped into one category (i.e., the spinning breakage rate after the spinneret is cleaned). This means that spinning breakage rates in the range of 10%-11% are classified into one category. This is because the dosage of cleaning material used for different spinning breakage rates may be the same. In order to reduce the use of cleaning material, it is necessary to select the cleaning material dosage that is most suitable for the spinning breakage rate (i.e., the cleaning data of the intelligent spinneret cleaning machine on the spinneret surface). Specifically, step S2044, which involves comparing and processing the data of the cleaned spinning breakage rate sorted set, and selecting the cleaning data of the spinneret surface by the intelligent spinneret cleaning machine, includes the following steps: S20441. Perform data filtering on the sorted set of spinning breakage rates after cleaning to obtain the set of minimum data values. S20442. Based on the set of minimum data values, perform data matching processing on the cleaning data used by the spinneret to obtain the cleaning data used by the spinneret corresponding to the minimum data value. S20443. Set the cleaning data of the spinneret with the least amount of cleaning material used, corresponding to the minimum data value, as the cleaning data of the intelligent spinneret scraper for the spinneret surface; In this embodiment, the minimum data set refers to the spinning breakage rate of the cleaned spinneret. The minimum data value here is 0% (i.e., the spinning breakage rate of the cleaned spinneret is 0%). However, there is more than one minimum data value; that is, there are multiple instances of 0%. It is necessary to filter the cleaning data used when the spinning breakage rate of the cleaned spinneret is 0%. Then, by filtering the dosage of these cleaning materials, suitable cleaning data can be obtained. For example, if the spinning breakage rate of the spinneret is set to 10%-11%, the dosage of cleaning material used when the spinning breakage rate before cleaning is 10.3% is 8.5 ml, and the dosage of cleaning material used when the spinning breakage rate before cleaning is 10.7% is also 8.5 ml, while the dosage of cleaning material used when the spinning breakage rate before cleaning is... The spinning breakage rate was 10.7%, and the dosage of cleaning material used was 8.2 ml. However, the dosage of 8.2 ml of cleaning material did not reduce the spinning breakage rate from 10.7% before the spinneret was cleaned to 0% after cleaning. Therefore, the dosage of 8.2 ml of cleaning material cannot be used to achieve the spinning breakage rate of 10.7% before the spinneret was cleaned. However, the dosage of 8.5 ml of cleaning material used cannot be used to achieve the spinning breakage rate of 10.3% before the spinneret was cleaned. It is necessary to use a dosage of less than 8.5 ml of cleaning material to clean the spinning breakage rate of 10.3% before the spinneret was cleaned. Therefore, choosing an appropriate dosage to clean the spinneret can reduce the amount of cleaning material used, thereby reducing the production cost of spinning.

[0023] Example 3

[0024] Step S300: Obtain the starting position of the intelligent shovel machine and construct a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine. This specifically includes the following steps: S301. Construct a three-dimensional spatial coordinate system with the starting position of the intelligent shovel machine as the origin; S302, The X-axis of the three-dimensional spatial coordinate system is the connection direction of the connecting track between the intelligent shovel machine and the spinning machine; S303. The Y-axis of the three-dimensional spatial coordinate system is perpendicular to the track connecting the intelligent shovel machine and the spinning machine, and the Y-axis of the three-dimensional spatial coordinate system is parallel to the ground. S304. The Z-axis of the three-dimensional spatial coordinate system is perpendicular to the connecting track between the intelligent shovel machine and the spinning machine, and the Z-axis of the three-dimensional spatial coordinate system is perpendicular to the ground. Step S400: Input the coordinate data of the spinneret that does not meet the spinning breakage rate standard into the intelligent spinneret cleaning machine. The intelligent spinneret cleaning machine cleans the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard. The specific steps include the following: S401. Based on the spinning breakage rate after cleaning the selected spinneret, the spinning machine is matched to obtain the spinning machine to be cleaned. S402. Based on the three-dimensional spatial coordinate system, perform coordinate matching processing on the spinning machine to be cleaned to determine the three-dimensional spatial coordinates of the spinning machine to be cleaned. S403, the intelligent spinneret cleaning machine cleans the spinneret according to the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned; In this embodiment, the intelligent spinneret cleaning machine is connected to the spinning machine via a connecting track. The intelligent spinneret cleaning machine cleans the spinning machine through this track. In a spinning machine production line, many spinning machines are arranged in parallel, sharing a single connecting track. The spinneret breakage rates of these spinning machines will not simultaneously fail to meet production standards. To enable the intelligent spinneret cleaning machine to more accurately clean spinnerets with non-standard breakage rates, each spinning machine needs to be assigned a coordinate system. Therefore, a three-dimensional coordinate system is constructed based on the starting position of the intelligent spinneret cleaning machine. For example, if the spinneret of the spinning machine at coordinates (10, 21, 30) has a non-standard breakage rate, suitable cleaning data can be selected based on the breakage rate. Then, the cleaning data and coordinate positions are input into the intelligent spinneret cleaning machine, which can then clean the spinneret according to the coordinates and cleaning data, making spinneret cleaning more convenient, faster, and more precise.

[0025] Reference Figure 2 As shown, a smart shovel machine control system based on spinning production is used to implement the above-described smart shovel machine control method based on spinning production, including: The intelligent control terminal is used to control the data transmission and information interaction between various modules. The intelligent control terminal is used to control the various modules to compare and process the real-time spinning breakage rate of the spinneret and select the cleaning data of the spinneret surface by the intelligent scraper. A database system is used to store relevant data about the spinning machine; The image acquisition module is used to acquire and process images of the spinneret to obtain surface images of the spinneret and real-time production videos of the spinneret. The spinning breakage rate calculation module is used to calculate the real-time total number of spinnerets and the total number of spinneret holes on the surface of the spinneret to obtain the real-time spinning breakage rate of the spinneret. The cleaning data filtering module filters the maintenance information of the spinning machine based on the real-time breakage rate of the spinneret, and selects the cleaning data of the spinneret surface from the intelligent spinneret scraper. A coordinate system construction module, which constructs a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; The intelligent spinneret cleaning machine cleans the spinneret based on the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned.

[0026] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A control method for an intelligent scraper machine based on spinning production, characterized in that, include: The surface image of the spinneret and the real-time production video of the spinneret are acquired. Based on the surface image of the spinneret, the real-time production video of the spinneret is compared and processed to obtain the real-time spinning breakage rate of the spinneret. The real-time spinneret breakage rate was compared and analyzed, and the cleaning data of the spinneret surface was selected by the intelligent spinneret scraper. Obtain the starting position of the intelligent shovel machine, and construct a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; The coordinate data of the spinneret that does not meet the spinning breakage rate standard is input into the intelligent spinneret cleaning machine. The intelligent spinneret cleaning machine cleans the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard.

2. The intelligent shovel machine control method based on spinning production according to claim 1, characterized in that, The process of acquiring a surface image of the spinneret and a real-time production video of the spinneret, and then performing data comparison processing on the real-time production video based on the surface image of the spinneret to obtain the real-time yarn breakage rate of the spinneret, specifically includes the following steps: Image acquisition and processing were performed on spinnerets that were not in production and those that were in production, respectively, to obtain surface images of the spinnerets and real-time production videos of the spinnerets; Feature data acquisition and processing are performed on the surface image of the spinneret to obtain the total number of spinneret holes on the surface of the spinneret and the location of each spinneret hole; Based on the total number of spinnerets on the spinneret surface and the location of each spinneret, the real-time production video of the spinneret is processed to obtain the real-time spinneret breakage rate.

3. The intelligent shovel machine control method based on spinning production according to claim 2, characterized in that, The process of calculating and processing data from the real-time production video of the spinneret based on the total number of spinneret holes on the spinneret surface and the location of each spinneret hole to obtain the real-time yarn breakage rate of the spinneret includes the following steps: Based on the location of each spinneret hole, the real-time production video of the spinneret is processed for position matching to determine the location of each spinneret hole in the production video. Based on the location of each spinneret hole in the production video, the number of spun fibers in the real-time production video of the spinneret is counted to obtain the total number of spun fibers in the real-time production video of the spinneret. The real-time total number of spinnerets and the total number of spinneret holes on the spinneret surface are calculated to obtain the real-time spinneret breakage rate.

4. The intelligent shovel machine control method based on spinning production according to claim 3, characterized in that, The comparative analysis of the real-time spinneret breakage rate and the selection of an intelligent spinneret cleaning machine for cleaning the spinneret surface specifically include the following steps: Based on the serial number of each spinning machine, the database system is used to retrieve and process data to obtain the maintenance information of the spinning machine. Feature data extraction and processing are performed on the maintenance information of the spinning machine to obtain the specific cleaning time data of the spinneret and the cleaning data used by the spinneret; Based on the serial number information of each spinning machine and the specific cleaning time data of the spinneret, the database system is used to retrieve and process the data to obtain the spinning breakage rate before the spinneret is not cleaned and the spinning breakage rate after the spinneret is cleaned. Based on the spinning breakage rate before and after the spinneret is cleaned, the real-time spinning breakage rate of the spinneret is compared and analyzed, and the cleaning data of the spinneret surface is selected by an intelligent spinneret scraper.

5. The intelligent shovel machine control method based on spinning production according to claim 4, characterized in that, The process of comparing and analyzing the real-time spinning breakage rate of the spinneret before and after cleaning, based on the spinning breakage rate of the spinneret before and after cleaning, and selecting an intelligent spinneret cleaning machine to clean the spinneret surface, specifically includes the following steps: Based on the real-time spinning breakage rate of the spinneret, the difference between the spinning breakage rate before the spinneret is cleaned is calculated to obtain the spinning breakage rate difference. If the difference in spinning breakage rate is less than or equal to the set threshold for spinning breakage rate difference, the spinning breakage rate after spinneret cleaning corresponding to the difference in spinning breakage rate will be screened out to obtain the spinning breakage rate after spinneret cleaning to be selected. Based on the minimum value function, the spinning breakage rate after cleaning the selected spinneret is sorted to obtain the sorted set of spinning breakage rates after cleaning. Data comparison processing was performed on the sorted set of spinneret breakage rates after cleaning, and the cleaning data of the spinneret surface was selected by the intelligent scraper machine.

6. The intelligent shovel machine control method based on spinning production according to claim 5, characterized in that, The process of comparing and processing the data from the sorted set of cleaned spinning breakage rates, and selecting the cleaning data of the spinneret surface by the intelligent spinneret cleaning machine, specifically includes the following steps: Data filtering was performed on the sorted set of spinning breakage rates after cleaning to obtain the set of minimum data values. Based on the set of minimum data values, data matching processing is performed on the cleaning data used by the spinneret to obtain the cleaning data used by the spinneret corresponding to the minimum data value. The cleaning data corresponding to the minimum value of the spinneret, which uses the least amount of cleaning material, is set as the cleaning data for the spinneret surface by the intelligent spinneret scraper.

7. The intelligent shovel machine control method based on spinning production according to claim 1, characterized in that, The process of obtaining the starting position of the intelligent shovel machine and constructing a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine specifically includes the following steps: A three-dimensional spatial coordinate system is constructed with the starting position of the intelligent shovel machine as the origin; The X-axis of the three-dimensional spatial coordinate system is the connection direction of the connecting track between the intelligent shovel machine and the spinning machine; The Y-axis of the three-dimensional spatial coordinate system is perpendicular to the track connecting the intelligent shovel machine and the spinning machine, and the Y-axis of the three-dimensional spatial coordinate system is parallel to the ground. The Z-axis of the three-dimensional spatial coordinate system is perpendicular to the track connecting the intelligent shovel machine and the spinning machine, and the Z-axis of the three-dimensional spatial coordinate system is perpendicular to the ground.

8. The intelligent shovel machine control method based on spinning production according to claim 1, characterized in that, The process of inputting the coordinate data of the spinneret that does not meet the spinning breakage rate standard into the intelligent spinneret cleaning machine, and the intelligent spinneret cleaning machine cleaning the spinneret according to the coordinate data and cleaning data of the spinneret that does not meet the spinning breakage rate standard, specifically includes the following steps: Based on the spinning breakage rate after cleaning the selected spinneret, the spinning machine is matched to obtain the spinning machine to be cleaned. Based on a three-dimensional spatial coordinate system, coordinate matching processing is performed on the spinning machine to be cleaned to determine the three-dimensional spatial coordinates of the spinning machine to be cleaned. The intelligent spinneret cleaning machine cleans the spinneret based on the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned.

9. A control system for an intelligent scraper machine based on spinning production, used to implement the control method for an intelligent scraper machine based on spinning production as described in any one of claims 1-8, characterized in that, include: The intelligent control terminal is used to control the data transmission and information interaction between various modules. The intelligent control terminal is used to control the various modules to compare and process the real-time spinning breakage rate of the spinneret and select the cleaning data of the spinneret surface by the intelligent scraper. A database system is used to store relevant data about the spinning machine; The image acquisition module is used to acquire and process images of the spinneret to obtain surface images of the spinneret and real-time production videos of the spinneret. The spinning breakage rate calculation module is used to calculate the real-time total number of spinnerets and the total number of spinneret holes on the surface of the spinneret to obtain the real-time spinning breakage rate of the spinneret. The cleaning data filtering module filters the maintenance information of the spinning machine based on the real-time breakage rate of the spinneret, and selects the cleaning data of the spinneret surface from the intelligent spinneret scraper. A coordinate system construction module, which constructs a three-dimensional spatial coordinate system based on the starting position of the intelligent shovel machine; The intelligent spinneret cleaning machine cleans the spinneret based on the three-dimensional spatial coordinates and cleaning data of the spinning machine to be cleaned.

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