Methods and devices for correcting parameters in silk production lines

Abstract

This invention provides a method and apparatus for correcting parameters in a yarn-making production line, applicable to the field of industrial automation equipment technology. The method includes: receiving a first input from a user regarding a target blade group before production begins; responding to the first input, determining the grade information of the target blade group and collecting real-time parameters of the yarn-making production line for the target blade group; obtaining a corresponding production line parameter set from a production database based on the grade information; and verifying the real-time parameters of the yarn-making production line item by item based on the production line parameter set; wherein the production line parameter set includes multiple production data items archived in an array according to the production blade group.

Description

Technical Field

[0001] This invention relates to the field of industrial automation equipment technology, and in particular to a method and apparatus for correcting parameters in a silk production line. Background Technology

[0002] In the industrial automation control scenario of a filament production line, the initial state of key processing parameters (such as the flow rate of the delay scale, the cumulative amount of the delay scale, and the cumulative amount of material fed) and equipment parameters in each process segment directly affects the stability of the production system and product quality. Especially during batch switching or material feeding, if parameters are not reset in time or are in an abnormal state, it may lead to malfunctions in the feeding system, production interruptions, or even fluctuations in product quality. For example, if the system's cached data is not cleared, the calculation benchmark of the control algorithm after material feeding will deviate, thereby triggering abnormal equipment shutdown and delaying the production schedule.

[0003] Currently, monitoring the status of such parameters mainly relies on manual inspection, where operators manually verify the currently displayed parameter values ​​through a human-machine interface. However, existing solutions have the following limitations: First, manual inspection can only cover real-time displayed data and cannot access historical parameters in the system cache, posing a risk of missed detections; second, it depends on human experience and focus, making it prone to oversight in complex, multi-parameter scenarios and difficult to detect anomalies in a timely manner; third, it lacks an automated predictive mechanism, and abnormal parameters often trigger system alarms after material handling, by which time production has already been affected.

[0004] Therefore, there is an urgent need for a method that can automatically scan key parameters before production, compare them in real time to ensure reasonable conditions, and provide early warnings, so as to eliminate the lag and limitations of manual inspection and ensure the stable operation of the production system. Summary of the Invention

[0005] This invention provides a method and apparatus for correcting parameters in a silk production line, which solves the problem in the prior art that parameter anomalies are difficult to detect in a timely manner and cause production interruptions or quality fluctuations because manual inspection cannot cover cached data, relies on subjective judgment and lacks a predictive mechanism.

[0006] This invention provides a method for correcting parameters in a yarn production line, comprising: receiving a first input from a user regarding a target blade group before production begins; responding to the first input, determining the grade information of the target blade group and collecting real-time parameters of the yarn production line for the target blade group; obtaining a corresponding production line parameter set from a production database based on the grade information; and verifying the real-time parameters of the yarn production line item by item based on the production line parameter set; wherein the production line parameter set includes multiple production data items archived in an array according to the production blade group.

[0007] According to a method for correcting parameters in a yarn production line provided by the present invention, after determining the grade information of the target leaf group, the method further includes: if no production line parameter set corresponding to the grade information is found, then the real-time parameters of the yarn production line are entered into the production database.

[0008] According to the present invention, a method for correcting parameters of a silk production line, after verifying the real-time parameters of the silk production line item by item according to the production line parameter set, the method further includes: if no abnormal data is found, outputting a first prompt message, the first prompt message being used to indicate that the real-time parameters of the silk production line are not abnormal.

[0009] According to the present invention, a method for correcting parameters of a filament production line, after verifying the real-time parameters of the filament production line item by item according to the production line parameter set, the method further includes: if abnormal data is found, outputting a second prompt message, the second prompt message being used to indicate that there is an abnormality in the real-time parameters of the filament production line, and a corresponding correction scheme.

[0010] According to a method for correcting parameters of a silk production line provided by the present invention, after outputting the second prompt information, the method further includes: receiving a second input from a user; and, in response to the second input, correcting the real-time parameters of the silk production line according to the correction scheme.

[0011] According to a method for correcting parameters of a silk-making production line provided by the present invention, after outputting the second prompt information, the method further includes: receiving a third input from the user; updating the historical production line parameters in the production database in response to the third input; and verifying the real-time parameters of the silk-making production line item by item based on the updated production line parameter set until there is no abnormal data before putting it into production.

[0012] This invention also provides a parameter correction device for a yarn production line, comprising the following modules: a receiving module and a processing module; the receiving module is used to receive a first input from a user regarding a target blade group before production begins; the processing module is used to, in response to the first input, determine the grade information of the target blade group and collect real-time parameters of the yarn production line for the target blade group; obtain the corresponding production line parameter set from a production database based on the grade information; and verify the real-time parameters of the yarn production line item by item based on the production line parameter set; wherein, the production line parameter set includes multiple production data items archived in arrays according to the production blade group.

[0013] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the parameter correction method for the silk production line as described above.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the parameter correction method for the silk production line as described above.

[0015] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the parameter correction method for the silk production line as described above.

[0016] The method and apparatus for correcting parameters in a yarn production line provided by this invention receive the user's initial input on the target blade group before production begins, and responds to the input by determining the grade information of the target blade group and collecting real-time parameters. This allows for precise identification of the blade group corresponding to the current production task, ensuring that subsequent parameter verification revolves around specific production needs and avoiding parameter matching errors caused by confused blade group information. This guarantees the targeted nature of parameter verification from the source. Furthermore, because the corresponding production line parameter set is retrieved from the production database based on the grade information, and this parameter set is multiple production data items archived in an array according to the production blade group, it can quickly retrieve standard parameters compatible with the target blade group. Compared to manual inspections that rely on experience to judge parameter rationality, benchmarking not only improves the efficiency of acquiring standard parameters but also avoids benchmark errors caused by human memory bias or insufficient experience, providing an accurate basis for parameter verification. Because it verifies each real-time parameter of the yarn-making production line item by item based on the production line parameter set, it comprehensively covers key processing and equipment parameters. This includes both real-time parameters that are observable to humans and historically related parameters that are not easily detected by humans and are stored in the system cache, completely eliminating the risk of missed checks during manual inspections. Furthermore, the automated process of item-by-item verification avoids anomalies caused by human negligence in complex, multi-parameter scenarios. Thus, the parameter inspection process is transformed from a passive alarm after production to a proactive error correction before production, effectively solving the limitations of incomplete coverage, reliance on experience, and lack of predictive ability in manual inspections. It can promptly detect and correct parameter anomalies before production starts, avoiding malfunctions in the feeding system, production interruptions, and product quality fluctuations caused by parameter issues, significantly improving the stability and reliability of the yarn-making production line. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is one of the flowcharts illustrating the parameter correction method for a silk production line provided by the present invention; Figure 2 This is the second flowchart of the parameter correction method for the silk production line provided by the present invention; Figure 3 This is one of the structural schematic diagrams of the parameter correction device for the silk production line provided by the present invention; Figure 4 This is the second schematic diagram of the structure of the parameter correction device for the silk production line provided by the present invention; Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] It should be noted that in the embodiments of this application, the words "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0021] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0022] To facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish the same or similar items with essentially the same function and effect. Those skilled in the art can understand that the terms "first" and "second" are not intended to limit the quantity or execution order.

[0023] This application describes some exemplary embodiments for illustrative purposes. It should be understood that this application may be implemented in other ways not specifically shown in the accompanying drawings.

[0024] like Figure 1 As shown, this application provides a method for correcting parameters in a silk-making production line, which can be applied to a parameter correction device for a silk-making production line. The method may include steps S101-S104: S101, Before being put into production, the parameter correction device of the silk production line receives the user's first input on the target blade group.

[0025] like Figure 2 As shown, in actual production, the workshop needs to produce products of corresponding grades according to different order requirements. Different grades of products are processed from specific target blade groups. Therefore, the user needs to input the target blade group information through an error correction device. The user can make the initial input via a host computer, and the input can include the unique identifier information such as the name and number of the target blade group. For example, the user can click the "Start Target Blade Group" button on the host computer. This allows the error correction device to quickly locate the core object of the current production process, avoiding directional deviations in subsequent parameter acquisition and verification.

[0026] S102, the yarn production line parameter correction device responds to the first input, determines the grade information of the target blade group, and collects the real-time parameters of the yarn production line of the target blade group.

[0027] The same target blade group usually corresponds to a fixed product grade, while different product grades have their standardized production parameter requirements. For example... Figure 2 As shown, after identifying the target blade group, the error correction device can respond to the first input and, through its internal data association module, determine the grade information from a pre-stored blade group-grade correspondence table based on the target blade group information. Subsequently, the error correction device uses a data acquisition and analysis platform to collect hundreds of key parameters related to the target blade group in the yarn production line in real time, including the flow rate of the delayed scale at each feeding point, the cumulative amount of the delayed scale, the cumulative amount of feeding, and system cache data.

[0028] It should be noted that determining the grade information ensures the accuracy and relevance of subsequent parameter acquisition, avoiding the use of incorrect parameter sets for verification. Real-time parameter collection can promptly reflect the actual status of the current production line, providing a reliable data foundation for subsequent verification.

[0029] S103. The yarn production line parameter correction device obtains the corresponding production line parameter set from the production database based on the grade information.

[0030] The aforementioned production line parameter set includes multiple production data items archived in arrays according to production blade groups.

[0031] like Figure 2 As shown, after obtaining the grade information, the error correction device can send a retrieval request to the production database, containing the grade information. Upon receiving the request, the production database quickly locates the production line parameter set corresponding to the grade based on its internally established grade-parameter set index relationship. This parameter set consists of multiple production data items archived in arrays according to production blade groups.

[0032] It should be noted that obtaining standardized production line parameter sets from the production database provides an authoritative and reliable standard for real-time parameter verification, ensuring the accuracy of the verification results. Storing and retrieving parameter sets in an array-archived manner facilitates subsequent rapid comparison of real-time parameter arrays and standard parameter arrays using specific algorithms, improving the efficiency of parameter verification. It also facilitates the management and maintenance of the parameter sets, reducing the probability of data corruption and retrieval errors.

[0033] Optionally, after determining the grade information of the target leaf group, the method further includes: if no production line parameter set corresponding to the grade information is found, then the real-time parameters of the yarn production line are entered into the production database.

[0034] In other words, such as Figure 2 As shown, if no production line parameter set corresponding to the grade information of the target blade group is found after searching the production database, the real-time parameters collected this time can be entered into the production database according to the preset format to complete the initial establishment of the parameter set.

[0035] It should be noted that entering real-time parameters that do not match the parameter set into the database not only solves the problem of production parameter basis in the case of new grades or missing parameter sets, but also continuously enriches the production database, providing data support for subsequent optimization and adjustment of production parameters, and improving the adaptability and flexibility of the production line.

[0036] S104. The silk production line parameter correction device verifies the real-time parameters of the silk production line item by item according to the production line parameter set.

[0037] like Figure 2As shown, the error correction device first aligns the acquired production line parameter set with the collected real-time parameters of the yarn production line to ensure that each standard parameter can find a corresponding real-time parameter. Subsequently, it compares the parameters in the two arrays item by item using specific algorithms (such as difference comparison method, range judgment method, etc.).

[0038] For example, it can be used to determine whether the flow rate of the delayed scale in the real-time parameters is within the range of [50kg / h, 60kg / h] specified in the standard parameters, and whether the cumulative amount of the delayed scale is 0 (standard value).

[0039] Optionally, after verifying the real-time parameters of the yarn production line item by item according to the production line parameter set, the method further includes: if no abnormal data is found, outputting a first prompt message, the first prompt message being used to indicate that the real-time parameters of the yarn production line are normal.

[0040] In other words, such as Figure 2 As shown, if no abnormal data is found after comparing all parameters, the error correction device can output the first prompt message through the human-machine interface (such as the indicator light turning green and the display screen showing "No abnormal parameters, normal production is possible").

[0041] Optionally, after verifying the real-time parameters of the yarn production line item by item according to the production line parameter set, the method further includes: if abnormal data is found, outputting a second prompt message, the second prompt message being used to indicate that there is an abnormality in the real-time parameters of the yarn production line, and the corresponding correction scheme.

[0042] In other words, such as Figure 2 As shown, if one or more parameters are found to be abnormal during the comparison process, such as the real-time cumulative feeding amount being 50kg (the standard value should be 0), the error correction device can output a second prompt message, such as the indicator light turning red and the display screen showing "The cumulative feeding amount parameter is abnormal. The current value is 50kg, the standard value is 0kg. Correction solution: manually clear or automatically clear through the system."

[0043] Optionally, after outputting the second prompt information, the method further includes: receiving a second input from the user; and in response to the second input, correcting the real-time parameters of the yarn production line according to the correction scheme.

[0044] In other words, such as Figure 2 As shown, after the second prompt message is output, if the user makes a second input (such as clicking the "Execute Correction" button on the interface), the error correction device will respond to the second input and correct the real-time parameters according to the correction scheme. Afterwards, to ensure that the parameters are not abnormal, the user can activate the parameter review command.

[0045] Optionally, after outputting the second prompt information, the method further includes: receiving a third input from the user; updating the historical production line parameters in the production database in response to the third input; and verifying the real-time parameters of the yarn production line item by item based on the updated production line parameter set until there is no abnormal data before putting it into production.

[0046] In other words, if the user determines that there is a problem with the standard parameter set (such as historical parameters no longer being applicable to the current production process), a third input can be made (such as clicking the "Update Parameter Set" button and entering new standard parameters). After the error correction device responds, it writes the real-time parameters of the yarn production line into the production database, replaces the historical parameter set corresponding to the blade group grade, generates a new standard parameter set, and then verifies the real-time parameters item by item based on the updated parameter set. The above verification process is repeated until all parameters are normal, and then a message is displayed indicating that production can begin.

[0047] It should be noted that item-by-item verification can comprehensively check all key parameters of the yarn production line. Compared with the traditional "human-based" method, it significantly reduces the risk of omissions, ensuring that parameters are in a reasonable state before production and avoiding shutdowns due to abnormal parameters during material feeding, which could affect production progress and product quality. When no abnormalities are found, the system outputs a first alert, allowing operators to quickly confirm that the parameters are normal and start production promptly, improving efficiency. When abnormalities are found, a second alert and correction plan are output, enabling operators to quickly locate and resolve the problem, reducing troubleshooting time. The system also provides parameter correction, update, and re-verification functions, flexibly handling different types of parameter anomalies to ensure that the parameters ultimately used in production meet production requirements, guaranteeing stable product quality. Simultaneously, it continuously optimizes the standard parameter set in the production database to adapt to changes and improvements in production processes.

[0048] like Figure 3 As shown, the parameter correction device for a silk production line provided in this application embodiment may include a data acquisition and analysis platform 100, a database 200, a programmable logic controller (PLC) 300, and a host computer 400. Wherein: As the control core of the production site, the PLC can collect and store real-time parameters during the silk production process, receive and execute operation instructions issued by the host computer 400, and at the same time provide feedback on the application execution status and early warning signals to the data acquisition and analysis platform 100 to ensure that the production process runs according to the preset logic.

[0049] The data acquisition and analysis platform is used for data interaction and analysis. It acquires real-time parameters from the PLC, extracts historical parameters from the database, compares and verifies them, and then feeds back the application execution status, early warning signals, and operation instructions to the PLC on the production floor; it adds / updates parameters to the database; and it outputs error correction prompts to the host computer, realizing a closed loop of parameter error correction and production monitoring.

[0050] The database is used to store historical parameter information of the silk production line, providing a standard basis for parameter verification for the data acquisition and analysis platform. At the same time, it receives new or updated parameters uploaded by the platform, realizing the accumulation, management and iteration of production data, and supporting continuous optimization of parameter correction.

[0051] As a human-machine interface terminal, the host computer allows users to view error correction prompts pushed by the data acquisition and analysis platform and remotely monitor production; it can also issue operation commands, which are then applied to the production site via the platform and PLC, enabling remote intervention and control of the silk production process.

[0052] It should be noted that the data acquisition and analysis platform software can be written in Python, connecting to the PLC via Snap7 to acquire and analyze real-time parameters of the silk production line and feed the analysis results back to the PLC. Snap7 is an open-source software package based on the S7 communication protocol. This package encapsulates the underlying S7 communication protocol, allowing ordinary computers to communicate with Siemens S7 series PLCs through programming.

[0053] In this embodiment, because the system receives the user's initial input on the target blade group before production begins, and responds to the input to determine the blade group's grade information and collect real-time parameters, it can accurately locate the blade group object corresponding to the current production task. This ensures that subsequent parameter verification revolves around specific production needs, avoiding parameter matching errors caused by blade group information confusion, and guaranteeing the specificity of parameter verification from the source. Furthermore, because it retrieves the corresponding production line parameter set from the production database based on the grade information, and this parameter set is multiple production data items archived according to the production blade group, it can quickly retrieve standard parameter benchmarks adapted to the target blade group. Compared to manual methods... The method of relying on experience to judge the rationality of parameters during inspection not only improves the efficiency of acquiring standard parameters but also avoids benchmark errors caused by human memory bias or lack of experience, providing an accurate basis for parameter verification. Because it verifies each real-time parameter of the yarn production line item by item based on the production line parameter set, it comprehensively covers key processing and equipment parameters. This includes both real-time parameters that are observable to humans and historical related parameters that are not easily detected by humans and are stored in the system cache, completely eliminating the risk of missed inspections by humans. Furthermore, the automated process of item-by-item verification avoids anomalies caused by human negligence in complex, multi-parameter scenarios. In this way, the parameter inspection process is transformed from a passive alarm after production to a proactive error correction before production, effectively solving the limitations of incomplete coverage, reliance on experience, and lack of predictive ability in manual inspections. It can promptly detect and correct parameter anomalies before production starts, avoiding malfunctions in the feeding system, production interruptions, and product quality fluctuations caused by parameter issues, significantly improving the stability and reliability of the yarn production line.

[0054] The foregoing mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, it includes corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0055] It should be noted that the device in the embodiments of this application includes a virtual device and a physical device. The virtual device can be a parameter correction device for a silk production line, and the physical device can include electronic devices, computer storage media, and computer program products.

[0056] The parameter correction method for a silk production line provided in this application can be executed by a parameter correction device for a silk production line, or by a control module for parameter correction within that device. This application uses the execution of the parameter correction method by the parameter correction device as an example to illustrate the parameter correction device provided in this application.

[0057] It should be noted that, according to the above method examples, the parameter correction device for the yarn production line can be divided into functional modules. For example, each function can be divided into its own functional modules, or two or more functions can be integrated into one processing module. The integrated modules can be implemented in hardware or as software functional modules. Optionally, the module division in this embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0058] like Figure 4 As shown in the figure, this application embodiment provides a parameter correction device 500 for a silk production line. The parameter correction device 500 for a silk production line includes: a receiving module 501 and a processing module 502.

[0059] The receiving module 501 can be used to receive a first input from a user regarding the target blade group before production begins; the processing module 502 can be used to respond to the first input, determine the grade information of the target blade group, and collect real-time parameters of the yarn production line of the target blade group; obtain the corresponding production line parameter set from the production database according to the grade information; and verify the real-time parameters of the yarn production line item by item according to the production line parameter set; wherein, the production line parameter set includes multiple production data items archived in an array according to the production blade group.

[0060] Optionally, the processing module 502 can be used to input the real-time parameters of the silk production line into the production database if no production line parameter set corresponding to the grade information is found.

[0061] Optionally, the processing module 502 can be used to output a first prompt message if no abnormal data is found, the first prompt message being used to indicate that the real-time parameters of the yarn production line are normal.

[0062] Optionally, the processing module 502 can be used to output a second prompt message if abnormal data is detected. The second prompt message is used to indicate that there is an abnormality in the real-time parameters of the yarn production line, and the corresponding correction scheme.

[0063] Optionally, the receiving module 501 can be used to receive a second input from the user; the processing module 502 can be used to correct the real-time parameters of the silk production line in response to the second input, according to the correction scheme.

[0064] Optionally, the receiving module 501 can be used to receive a third input from the user; the processing module 502 can be used to update the historical production line parameters in the production database in response to the third input; and to verify the real-time parameters of the silk production line item by item based on the updated production line parameter set until there is no abnormal data before putting it into production.

[0065] In this embodiment, because the system receives the user's initial input on the target blade group before production begins, and responds to the input to determine the blade group's grade information and collect real-time parameters, it can accurately locate the blade group object corresponding to the current production task. This ensures that subsequent parameter verification revolves around specific production needs, avoiding parameter matching errors caused by blade group information confusion, and guaranteeing the specificity of parameter verification from the source. Furthermore, because it retrieves the corresponding production line parameter set from the production database based on the grade information, and this parameter set is multiple production data items archived according to the production blade group, it can quickly retrieve standard parameter benchmarks adapted to the target blade group. Compared to manual methods... The method of relying on experience to judge the rationality of parameters during inspection not only improves the efficiency of acquiring standard parameters but also avoids benchmark errors caused by human memory bias or lack of experience, providing an accurate basis for parameter verification. Because it verifies each real-time parameter of the yarn production line item by item based on the production line parameter set, it comprehensively covers key processing and equipment parameters. This includes both real-time parameters that are observable to humans and historical related parameters that are not easily detected by humans and are stored in the system cache, completely eliminating the risk of missed inspections by humans. Furthermore, the automated process of item-by-item verification avoids anomalies caused by human negligence in complex, multi-parameter scenarios. In this way, the parameter inspection process is transformed from a passive alarm after production to a proactive error correction before production, effectively solving the limitations of incomplete coverage, reliance on experience, and lack of predictive ability in manual inspections. It can promptly detect and correct parameter anomalies before production starts, avoiding malfunctions in the feeding system, production interruptions, and product quality fluctuations caused by parameter issues, significantly improving the stability and reliability of the yarn production line.

[0066] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include a processor 610, a communications interface 620, a memory 630, and a communication bus 640, wherein the processor 610, communications interface 620, and memory 630 communicate with each other via the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute a method for correcting parameters of the yarn production line. This method includes: receiving a first input from a user regarding a target leaf group before production begins; responding to the first input, determining the grade information of the target leaf group and collecting real-time parameters of the yarn production line for the target leaf group; obtaining a corresponding production line parameter set from a production database based on the grade information; and verifying the real-time parameters of the yarn production line item by item based on the production line parameter set; wherein the production line parameter set includes multiple production data items archived in an array according to the production leaf group.

[0067] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0068] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the error correction method for the yarn production line parameters provided by the above methods. The method includes: receiving a first input from a user for a target blade group before production begins; in response to the first input, determining the grade information of the target blade group and collecting real-time parameters of the yarn production line for the target blade group; obtaining a corresponding production line parameter set from a production database based on the grade information; and verifying the real-time parameters of the yarn production line item by item based on the production line parameter set; wherein the production line parameter set includes multiple production data items archived in an array according to the production blade group.

[0069] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the error correction method for the yarn production line parameters provided by the above methods. The method includes: receiving a first input from a user regarding a target blade group before production begins; in response to the first input, determining the grade information of the target blade group and collecting real-time parameters of the yarn production line for the target blade group; obtaining a corresponding production line parameter set from a production database based on the grade information; and verifying the real-time parameters of the yarn production line item by item based on the production line parameter set; wherein the production line parameter set includes multiple production data items archived in an array according to the production blade group.

[0070] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0071] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for correcting parameters in a silk-making production line, characterized in that, include: Before production begins, the user's initial input on the target leaf group is received. In response to the first input, the grade information of the target blade group is determined, and real-time parameters of the yarn production line of the target blade group are collected; Based on the brand information, obtain the corresponding production line parameter set from the production database; The real-time parameters of the silk production line are verified item by item according to the production line parameter set. The production line parameter set includes multiple production data items archived in arrays according to production blade groups.

2. The parameter correction method for a silk-making production line according to claim 1, characterized in that, After determining the grade information of the target leaf group, the method further includes: If no production line parameter set corresponding to the grade information is found, the real-time parameters of the silk production line are entered into the production database.

3. The parameter correction method for a yarn-making production line according to claim 1, characterized in that, After verifying the real-time parameters of the yarn production line item by item according to the production line parameter set, the method further includes: If no abnormal data is found, a first prompt message is output, which indicates that the real-time parameters of the yarn production line are normal.

4. The parameter correction method for a silk-making production line according to claim 1, characterized in that, After verifying the real-time parameters of the yarn production line item by item according to the production line parameter set, the method further includes: If abnormal data is detected, a second prompt message is output. The second prompt message is used to indicate that there is an abnormality in the real-time parameters of the yarn production line, and the corresponding correction plan.

5. The parameter correction method for a yarn-making production line according to claim 4, characterized in that, After outputting the second prompt message, the method further includes: Receive the user's second input; In response to the second input, the real-time parameters of the silk production line are corrected according to the correction scheme.

6. The parameter correction method for a silk-making production line according to claim 4, characterized in that, After outputting the second prompt message, the method further includes: Receive third input from the user; In response to the third input, the historical production line parameters in the production database are updated; The real-time parameters of the silk-making production line are verified item by item based on the updated production line parameter set until no abnormal data is found before production begins.

7. A parameter correction device for a silk-making production line, characterized in that, include: Receive module and processing module; The receiving module is used to receive the user's first input on the target leaf group before it is put into production; The processing module is configured to respond to the first input, determine the grade information of the target leaf group, and collect real-time parameters of the yarn production line of the target leaf group; obtain the corresponding production line parameter set from the production database according to the grade information; and verify the real-time parameters of the yarn production line item by item according to the production line parameter set. The production line parameter set includes multiple production data items archived in arrays according to production blade groups.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the parameter correction method for the silk production line as described in any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the parameter correction method for the silk production line as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the parameter correction method for the silk production line as described in any one of claims 1 to 6.

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