Error correction method and system for die cutting machine

Abstract

The present application provides an error correction method and system for a die-cutting machine, which relates to the technical field of die-cutting machines, including: determining the monitoring parameters of the transmission mechanism and the indentation / cutting parts of the die-cutting machine to be tested for consistency from a monitoring database; arranging the overlapping positioning in time sequence according to the acquisition time of the monitoring parameters, and constructing the overlapping positioning time sequence coordinates; identifying the overlapping positioning abnormal points and abnormal change trends according to the overlapping positioning time sequence coordinates; tracing the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time sequence relationship, performing cumulative effect analysis, and determining the error factor; performing error tracking analysis on the error factor, determining the compensation correction strategy, and sending an error correction reminder message. The present application solves the technical problem that the existing methods lack effective identification means for hidden errors and cumulative errors, resulting in a decrease in die-cutting accuracy, and achieves the technical effect of significantly improving die-cutting accuracy and product consistency.

Description

Technical Field

[0001] The present application relates to the technical field of die-cutting machines, and in particular to an error correction method and system for die-cutting machines. Background Art

[0002] In the packaging, printing and electronics industries, die-cutting machines are key equipment used to accurately cut a variety of materials such as cardboard, plastics and films. The die-cutting machine delivers the material to a fixed position through a conveyor mechanism, and then cuts it by moving the blade. During the working process of the die-cutting machine, ensuring the high consistency of each cutting or creasing position is the key to improving product quality.

[0003] Existing error adjustment methods for die-cutting machines mainly rely on electronic registration systems and manual adjustments. The electronic registration system maintains die-cutting accuracy by adjusting the material position, but its limitation is that it cannot effectively identify and correct the hidden minor deviations of each tooth row position, especially the cumulative errors caused by bearing and guide wear or minor displacement. These hidden deviations are difficult to detect at the beginning, but will gradually reduce die-cutting accuracy as they accumulate over time. Traditional manual adjustment methods can effectively deal with obvious displacement errors, but they cannot monitor and prevent the accumulation of hidden deviations in real time, resulting in a decrease in product consistency and production efficiency. Summary of the invention

[0004] The present application provides an error correction method and system for a die-cutting machine, which solves the technical problem that the existing error adjustment method for a die-cutting machine mainly adjusts explicit errors, lacks effective identification means for hidden errors and cumulative errors, and leads to a decrease in die-cutting accuracy, thereby achieving the technical effect of significantly improving die-cutting accuracy and product consistency.

[0005] In view of the above problems, on the one hand, the present application provides an error correction method for a die-cutting machine, the method comprising: determining the monitoring parameters of the conveying mechanism and the indentation / cutting part of the die-cutting machine to be tested for consistency from a monitoring database, the monitoring parameters including displacement data, vibration data, temperature data of the bearings and guide rails, and the overlapping positioning of the conveying mechanism and the indentation / cutting part; arranging the overlapping positioning in time series according to the acquisition time of the monitoring parameters, and constructing the overlapping positioning time series coordinates; identifying the abnormal points and abnormal change trends of the overlapping positioning according to the overlapping positioning time series coordinates; tracing back the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time series relationship based on the abnormal points and abnormal change trends, performing cumulative effect analysis, and determining the error factor; performing error tracking analysis on the error factor, determining the compensation correction strategy, and sending an error correction reminder message.

[0006] On the other hand, the present application also provides an error correction system for a die-cutting machine, the system comprising: a data acquisition module, the data acquisition module being used to determine the monitoring parameters of the conveying mechanism and the indentation / cutting parts of the die-cutting machine to be tested for consistency from a monitoring database, the monitoring parameters including the displacement data, vibration data, temperature data of the bearings and guide rails, and the overlapping positioning of the conveying mechanism and the indentation / cutting parts; a timing arrangement module, the timing arrangement module being used to perform timing arrangement of the overlapping positioning according to the acquisition time of the monitoring parameters, and construct overlapping positioning timing coordinates; an abnormality identification module, the abnormality identification module being used to identify abnormal points and abnormal change trends of the overlapping positioning according to the overlapping positioning timing coordinates; a cumulative effect analysis module, the cumulative effect analysis module being used to trace the displacement data, vibration data, and temperature data of the bearings and guide rails having the same timing relationship based on the abnormal points and abnormal change trends, perform cumulative effect analysis, and determine the error factor; a compensation correction module, the compensation correction module being used to perform error tracking analysis on the error factor, determine the compensation correction strategy, and send an error correction reminder message.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The monitoring parameters of the transmission mechanism and the indentation / cutting part of the die-cutting machine to be tested for consistency are determined from the monitoring database. The monitoring parameters include the displacement data, vibration data, temperature data of the bearing and the guide rail, and the overlapping positioning of the transmission mechanism and the indentation / cutting part. This step is to obtain the basic data necessary for error analysis. According to the acquisition time of the monitoring parameters, the overlapping positioning is arranged in time sequence to construct the overlapping positioning time sequence coordinates. This step helps to understand the performance changes of the equipment at different time points and provides a time dimension analysis for identifying abnormal points and abnormal change trends. According to the overlapping positioning time sequence coordinates, the abnormal points and abnormal change trends of the overlapping positioning are identified; based on the abnormal points and abnormal change trends, the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time sequence relationship are traced, and the cumulative effect analysis is performed to determine the error factor. This step reveals those errors that are not easy to detect but will accumulate, and provides a basis for precise adjustment. The error factor is tracked and analyzed, the compensation correction strategy is determined, and the error correction reminder information is sent, so as to realize the real-time tracking and adjustment of the cumulative error and ensure the accuracy and consistency of the die-cutting process.

[0009] To summarize, this application realizes real-time monitoring and precise adjustment of hidden deviations in the die-cutting machine through real-time monitoring and cumulative error analysis, significantly improves the die-cutting accuracy and production efficiency, ensures the accuracy and consistency of the die-cutting process, and thus improves product quality and consistency.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic flow chart of an error correction method for a die-cutting machine provided in an embodiment of the present application;

[0012] Figure 2 A schematic diagram of a flow chart of determining an error factor in an error correction method for a die-cutting machine provided in an embodiment of the present application;

[0013] Figure 3 A schematic diagram of a flow chart for determining a compensation correction strategy in an error correction method for a die-cutting machine provided in an embodiment of the present application;

[0014] Figure 4 A schematic structural diagram of an error correction system for a die-cutting machine provided in an embodiment of the present application.

[0015] Description of reference numerals: data acquisition module 10 , time sequence arrangement module 20 , abnormality identification module 30 , cumulative effect analysis module 40 , compensation correction module 50 . DETAILED DESCRIPTION

[0016] The embodiments of the present application provide an error correction method and system for a die-cutting machine, thereby solving the technical problem that the existing error adjustment method for a die-cutting machine mainly adjusts explicit errors, lacks effective identification means for hidden errors and cumulative errors, and leads to a decrease in die-cutting accuracy. The technical effect of significantly improving die-cutting accuracy and product consistency is achieved.

[0017] Embodiment 1, as Figure 1 As shown, an embodiment of the present application provides an error correction method for a die-cutting machine, the method comprising:

[0018] Step S1: Determine the monitoring parameters of the conveying mechanism and the indentation / cutting part of the die-cutting machine to be tested for consistency from the monitoring database, the monitoring parameters including displacement data, vibration data, temperature data of the bearing and guide rail, and the overlapping positioning of the conveying mechanism and the indentation / cutting part.

[0019] Specifically, first, access the monitoring database, which is used to store the operating status data of the die-cutting machine, including the historical data and real-time data of the comprehensive operating status of the die-cutting machine. Retrieve the monitoring data of the conveying mechanism and the indentation / cutting part in the most recent operating cycle of the die-cutting machine to be tested for consistency from the monitoring database. These monitoring data include the displacement data, vibration data, temperature data of the bearings and guide rails of the conveying mechanism and the indentation / cutting part, and the overlapping positioning of the conveying mechanism and the indentation / cutting part. Among them, the conveying mechanism is a mechanical structure responsible for material transmission, which is used to stably and accurately transport materials during the die-cutting process. The indentation / cutting part is a component that performs cutting or indenting actions during the die-cutting process, such as a blade or an indentation roller. Overlapping positioning refers to the relative position of the conveying mechanism and the indentation / cutting part during the die-cutting process to ensure that the material is accurately cut or indented at the predetermined position. By extracting monitoring parameters from the monitoring database, step S1 provides the necessary data basis for subsequent consistency detection and error correction.

[0020] Step S2: Arrange the overlapping positioning in time sequence according to the acquisition time of the monitoring parameters to construct overlapping positioning time sequence coordinates.

[0021] Specifically, the acquisition time of the monitoring parameters obtained in step S1 is identified, that is, the specific time point of the data recording, and the overlapping positioning in the monitoring parameters is arranged in time sequence according to the order of the acquisition time, so as to observe and analyze the changing trend of overlapping positioning over time. Then, with time as the horizontal axis and the overlapping positioning parameters as the vertical axis, the overlapping positioning time series coordinates are constructed, and the trend of overlapping positioning over time is analyzed through the overlapping positioning time series coordinates. Provide analysis data of the time dimension for subsequent error analysis and adjustment.

[0022] Step S3: Identify the abnormal points and abnormal change trends of the overlapping positioning according to the overlapping positioning time series coordinates.

[0023] Specifically, an abnormal detection algorithm is used to analyze the overlapping positioning time series coordinates to identify abnormal points. The identification process can use statistical methods, density-based methods, distance-based methods, or machine learning algorithms. Among them, the abnormal point is a point where the overlapping positioning deviates significantly from the normal range or expectation. The appearance of abnormal points indicates that the transmission mechanism of the die-cutting machine and the indentation / cutting parts may have abnormal conditions such as displacement deviation or failure, wear, etc. Usually, the appearance of abnormal points is not isolated, and multiple abnormal points may indicate a continuous trend that deviates from normal behavior. Further analyze the multiple abnormal points identified, and calculate the statistics in the sliding window, such as the mean, standard deviation, etc., to observe the evolution of the abnormal values ​​and identify the abnormal change trend. Among them, the abnormal change trend is the systematic change of the overlapping positioning over time, indicating the change trend of the offset between the transmission mechanism of the die-cutting machine and the indentation / cutting parts over time. By identifying abnormal points and abnormal change trends, step S3 can timely identify the small errors and error change trends of the die-cutting machine and determine the target of subsequent error correction.

[0024] Step S4: Based on the abnormal points and abnormal change trends, the displacement data, vibration data, and temperature data of the bearings and guide rails having the same time series relationship are traced back, and cumulative effect analysis is performed to determine the error factor.

[0025] Specifically, according to the abnormal points and abnormal change trends identified in step S3, the displacement data, vibration data, and temperature data of the bearings and guide rails in the same period are extracted from the monitoring database. Time series analysis methods, such as autoregression (AR), moving average (MA), or autoregression integrated moving average (ARIMA) models, are used to analyze the cumulative effect of the monitoring data, that is, the cumulative impact of the monitoring data over time. Through the analysis results, the potential error factors that lead to abnormal positioning are identified. These error factors are direct or indirect causes of abnormal positioning, such as component wear, temperature changes, increased vibration, etc. Through cumulative effect analysis, step S4 can find the root cause of abnormal equipment performance and indicate the specific direction for subsequent error correction.

[0026] Step S5: performing error tracking and analysis on the error factor, determining a compensation correction strategy, and sending an error correction reminder message.

[0027] Specifically, the error factors identified in step S4 are further analyzed to determine the degree of influence of the error factors on the accuracy and repeatability of the die-cutting machine, and to evaluate the cumulative influence of the error factors over time. The analysis and evaluation process can establish a mathematical model or use simulation software to simulate the influence of errors on machine performance. A compensation algorithm is designed according to the characteristics of the error factor, and a compensation correction strategy is formulated. Error correction reminder information is generated based on the error tracking and analysis results to remind the operator to execute the compensation correction strategy for error correction. The generated error correction reminder information and compensation correction strategy are sent via SMS, email, or a pop-up window on the machine interface to ensure that the operator or maintenance personnel can receive the correction instructions in time.

[0028] Step S5 ensures that the die-cutting machine error can be corrected in time, thereby ensuring the die-cutting accuracy, while improving production efficiency and product consistency.

[0029] Furthermore, step S3 of the embodiment of the present application also includes:

[0030] Obtain a consistent working cycle, and perform periodic segmentation on the overlapping positioning timing coordinates according to the consistent working cycle; perform periodic timing alignment according to the consistent working cycle segmentation result, and perform deviation identification of a single point or a combination of multiple points according to the positioning coordinates of the overlapping positioning, and determine the abnormal point, which is a coordinate point with a positioning coordinate deviation, and determine the abnormal change trend according to the deviation direction and deviation distance between the abnormal point and the theoretical coordinate point.

[0031] Specifically, first obtain the consistent working cycle of the die-cutter, which is the time taken by the die-cutter to complete a complete working cycle from preparation, positioning, execution to return to the ready state when performing a cutting or creasing operation. According to the consistent working cycle, the overlapping positioning timing coordinates are divided into multiple periodic data segments of the same time length. Each segment represents a data record of the die-cutter completing a complete working cycle.

[0032] Align these periodic data fragments on the time axis to ensure that the start and end points of each cycle are consistent in time, thereby improving the comparability of data between different cycles. In each cycle, compare the actual overlapping positioning coordinates with the theoretical coordinates, identify coordinate points with positioning coordinate deviations, including single points or combinations of multiple points with deviations, and identify these deviation coordinate points as abnormal points. Among them, the theoretical coordinates are the overlapping positioning coordinate points of the die-cutting machine under the ideal working state, representing the ideal position that the die-cutting machine transmission mechanism and the indentation / cutting parts should reach within a specific working cycle without errors or deviations. It is usually determined based on the design drawings, working principles and production process requirements of the equipment.

[0033] Determine the deviation direction of each abnormal point, that is, whether the deviation is positive or negative, and calculate the deviation distance, that is, the deviation size. Perform trend analysis based on the deviation direction and deviation distance to determine the abnormal change trend.

[0034] Through these refined operations, step S3 can more accurately identify abnormal points and change trends, providing more detailed data support for subsequent error factor determination and correction strategy formulation.

[0035] Preferably, determining the abnormal point in step S3 of the embodiment of the present application includes:

[0036] When there is a single overlapping positioning within the consistency working cycle, the abnormal point is determined according to the coordinate coincidence of the single point, and the abnormal point is a coordinate point that does not meet the coincidence degree; when there are multiple overlapping positioning within the consistency working cycle, the abnormal point is determined according to the deviation distribution of multiple points and the relative distance deviation of the multiple point combination, and the abnormal point includes single point anomaly and regional anomaly.

[0037] Specifically, the process of determining abnormal points is divided into two cases, single-point positioning and multi-point positioning, according to the number of overlapping positioning within the consistency working cycle. When there is only one overlapping positioning between the transmission mechanism and the indentation / cutting part within a working cycle, that is, when there is a single overlapping positioning, the abnormal point is determined by calculating the coordinate coincidence of the single point, and any coordinate point that does not meet the predetermined coincidence standard is marked as an abnormal point. The coordinate coincidence is an indicator of the degree of coincidence between the actual monitored coordinate point and the theoretical coordinate point, which can be expressed by the deviation between the theoretical coordinate and the actual measured coordinate. For example, if the deviation between the actual coordinate and the theoretical coordinate exceeds the set threshold, the point is identified as an abnormal point.

[0038] When there are multiple overlapping positionings of the conveying mechanism and the indentation / cutting part within a working cycle, that is, when there are multiple overlapping positionings, in addition to the deviation of a single point, it is also necessary to consider the relative position relationship between multiple points, that is, the deviation distribution and the relative distance deviation of the multi-point combination. In multi-point positioning, if the deviation of a single point exceeds the threshold, it is marked as a single point anomaly. When the deviation distribution of multiple points shows a certain pattern or trend, such as a group of points offset as a whole relative to the theoretical position, or the relative distance deviation between these points exceeds the normal range, it is marked as a regional anomaly.

[0039] Through the above method, step S3 can meticulously identify abnormal points in different scenarios, providing accurate data support for subsequent error factor analysis and correction strategy formulation.

[0040] Preferably, the step S3 of determining the abnormal point in the embodiment of the present application further includes:

[0041] Based on the periodic timing alignment, the positioning coordinates of the transmission mechanism and the indentation / cutting part are aligned and compared respectively to determine the difference subject of the abnormal point, and the difference subject is the transmission mechanism or the indentation / cutting part.

[0042] Specifically, the positioning coordinates of the transmission mechanism and the indentation / cutting part are aligned according to the consistent working cycle. Through alignment and comparison, the equipment components that cause the abnormal points, that is, the main body of the difference, can be identified. If it is found after the cycle timing alignment that the positioning coordinates of the transmission mechanism show a consistent deviation trend in multiple cycles, while the positioning coordinates of the indentation / cutting part are relatively stable, then the transmission mechanism may be the main body of the difference causing the abnormal points. On the contrary, if the positioning coordinates of the indentation / cutting part show a consistent deviation trend in multiple cycles, while the positioning coordinates of the transmission mechanism are relatively stable, then the indentation / cutting part may be the main body of the difference causing the abnormal points. Through the above steps, the root cause of the abnormal performance of the equipment can be determined, and the specific components that need to be adjusted or maintained can be determined.

[0043] Further, such as Figure 2 As shown, step S4 of the embodiment of the present application also includes:

[0044] Step S41: determining a tracing object according to the abnormal subject of the abnormal point, and determining a tracing time sequence relationship according to the time relationship corresponding to the abnormal point and the abnormal change trend.

[0045] Step S42: extracting data from the monitoring parameters using the traceability object and the traceability time series relationship as indexes, performing time series analysis on the bearing and guide displacement data, vibration data, and temperature data corresponding to the extracted traceability object to determine whether there is a trend of gradually increasing over time.

[0046] Step S43: Screening cumulative effect parameters, where the cumulative effect parameters are parameters that tend to gradually increase over time.

[0047] Step S44: fitting the influence relationship between the cumulative effect parameter and the displacement of the conveying mechanism or the indentation / cutting piece.

[0048] Step S45: performing cumulative impact analysis according to the impact relationship and the time sequence relationship to obtain the impact amount of each cumulative effect parameter, and determining the error factor according to the impact amount.

[0049] Specifically, the abnormal subject corresponding to the abnormal point identified above is determined as the traceability object. According to the time when the abnormal point appears and the abnormal change trend, the traceability time series relationship is constructed, and the abnormal point is associated with the potential influencing factors in a time series manner to determine the time period that needs to be traced. Using the traceability object and the traceability time series relationship as indexes, the monitoring parameters of the traceability object in the traceability time series relationship are accurately extracted from the monitoring parameters, including the displacement data, vibration data and temperature data of the bearing and guide rail. The extracted data is subjected to time series analysis to determine whether there is a trend that gradually increases over time, that is, whether there is a cumulative effect.

[0050] Identify and screen out the monitoring parameters that gradually increase over time. These parameters may have a cumulative effect on the formation of abnormal points. Determine the screened monitoring parameters as cumulative effect parameters. Through data fitting, establish a relationship model between the cumulative effect parameters and the displacement of the transmission mechanism or the indentation / cutting part to quantify the impact intensity. According to the established influence relationship and time series relationship, perform a cumulative impact analysis on each cumulative effect parameter and calculate its impact on the abnormal point. Combine the analysis results of the impact quantity to determine the error factor that has a significant impact on the abnormal point.

[0051] Through these detailed steps, step S4 can systematically and scientifically trace and determine the error factors that cause the abnormal points, providing guidance and basis for the subsequent formulation of correction strategies.

[0052] Preferably, step S45 of the embodiment of the present application further includes:

[0053] At each time t, calculate the influence value Δy of the cumulative effect parameter on the displacement t =β·X t +∈ t ; Based on the time series relationship, the impact value of each moment is cumulatively calculated to obtain the impact amount of the cumulative effect parameter: Among them, β is the regression coefficient of the cumulative effect parameter, X t is the value of the cumulative effect parameter recorded at time t, ∈ t is a random error term.

[0054] Specifically, the calculation process of the influence of each cumulative effect parameter is as follows: First, extract the value X of the cumulative effect parameter recorded at each time t t , and the regression coefficient β of the cumulative effect parameter determined by fitting, according to the formula Δy t =β·X t +∈ t , calculate the influence value Δy of the cumulative effect parameter on the displacement at each time t t Based on the time series relationship, the impact value at each moment is accumulated and calculated using the formula Calculate the influence of cumulative effect parameter Δy累积 , where ∈ t is the random error term, which is the bright red residual of the model determined by the fitting, indicating random fluctuations that the model cannot explain.

[0055] Through the above steps, the specific impact of the cumulative effect parameters on the performance of the die-cutting machine can be quantified, providing data support for the determination of the error factor.

[0056] Further, such as Figure 3 As shown, step S5 of the embodiment of the present application also includes:

[0057] Step S51: Perform bearing and guideway abnormality analysis based on historical fault samples, determine the corresponding relationship between displacement data, vibration data, temperature data and abnormal characteristics, and establish an abnormality analysis library.

[0058] Step S52: Use the error factor to match the abnormal analysis library to determine the abnormal characteristics of the difference subject.

[0059] Step S53: Determine a compensation correction strategy based on the abnormal characteristics of the difference subject.

[0060] Specifically, first, historical fault samples are collected from the operation log of the die-cutting machine. The historical fault samples are the data and analysis results recorded when faults occurred during the historical operation of the die-cutting machine, and include information such as fault type, fault characteristics, impact range and processing methods.

[0061] Based on historical fault samples, the abnormal features of bearings and guide rails are extracted, and the corresponding relationship between displacement data, vibration data, temperature data and abnormal features is analyzed. The characteristic patterns corresponding to different abnormal types are summarized, such as specific vibration spectra, temperature change trends or displacement patterns. The identified abnormal features are integrated with the corresponding data patterns to establish an abnormal analysis library to provide a reference for subsequent abnormal identification and processing. This abnormal analysis library is a database that collects and organizes various abnormal features and corresponding processing methods that may appear during the operation of the equipment, and is used to quickly identify whether the current equipment status is normal.

[0062] The characteristics of the error factor determined in step S4 are matched with the abnormal characteristics recorded in the abnormal analysis library to identify the abnormal characteristics of the difference subject. Based on the abnormal characteristics, a targeted compensation correction strategy is formulated, including determining the compensation control amount, replacing parts, adjusting the bearing spacing, adding lubricating oil, etc. according to the abnormal characteristics.

[0063] Through the above steps, a closed-loop process from the identification of abnormal points to the specific compensation and correction strategy is achieved, ensuring the long-term stable operation of the die-cutting machine and the continuous improvement of production efficiency.

[0064] In summary, the error correction method for a die-cutting machine provided in the embodiment of the present application has the following technical effects:

[0065] The monitoring parameters of the transmission mechanism and the indentation / cutting parts of the die-cutting machine to be tested for consistency are determined from the monitoring database. The monitoring parameters include the displacement data, vibration data, temperature data of the bearings and guide rails, and the overlapping positioning of the transmission mechanism and the indentation / cutting parts. This step is to obtain the basic data necessary for error analysis. According to the acquisition time of the monitoring parameters, the overlapping positioning is arranged in time sequence to construct the overlapping positioning time sequence coordinates. This step helps to understand the performance changes of the equipment at different time points and provides a time dimension analysis for identifying abnormal points and abnormal change trends. According to the overlapping positioning time sequence coordinates, the abnormal points and abnormal change trends of the overlapping positioning are identified; based on the abnormal points and abnormal change trends, the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time sequence relationship are traced, and the cumulative effect analysis is performed to determine the error factor. This step reveals those errors that are not easy to detect but will accumulate, providing a basis for precise adjustment. According to the historical fault samples, an abnormal analysis library is established, the error factor is tracked and analyzed, the compensation correction strategy is determined, and the error correction reminder information is sent, so as to realize the real-time tracking and adjustment of the accumulated error and ensure the accuracy and consistency of the die-cutting process.

[0066] Overall, the embodiments of the present application achieve real-time monitoring and precise adjustment of hidden deviations in the die-cutting machine through real-time monitoring and cumulative error analysis, significantly improve the die-cutting accuracy and production efficiency, ensure the accuracy and consistency of the die-cutting process, and thus improve product quality and consistency.

[0067] Embodiment 2, as Figure 4 As shown, an embodiment of the present application provides an error correction system for a die-cutting machine, the system comprising:

[0068] The data acquisition module 10 is used to determine the monitoring parameters of the transmission mechanism and the indentation / cutting part of the die-cutting machine to be tested for consistency from the monitoring database, and the monitoring parameters include displacement data, vibration data, temperature data of the bearings and guide rails, and the overlapping positioning of the transmission mechanism and the indentation / cutting part.

[0069] The time sequence arrangement module 20 is used to perform time sequence arrangement on the overlapping positioning according to the acquisition time of the monitoring parameters, and construct the overlapping positioning time sequence coordinates.

[0070] The abnormality identification module 30 is used to identify the abnormal points and abnormal change trends of the overlapping positioning according to the overlapping positioning time series coordinates.

[0071] The cumulative effect analysis module 40 is used to trace the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time series relationship based on the abnormal points and abnormal change trends, perform cumulative effect analysis, and determine the error factor.

[0072] The compensation correction module 50 is used to perform error tracking and analysis on the error factor, determine the compensation correction strategy, and send error correction reminder information.

[0073] Furthermore, the abnormality identification module 30 in the embodiment of the present application is also used to perform the following steps:

[0074] Obtain a consistent working cycle, and perform periodic segmentation on the overlapping positioning timing coordinates according to the consistent working cycle; perform periodic timing alignment according to the consistent working cycle segmentation result, and perform deviation identification of a single point or a combination of multiple points according to the positioning coordinates of the overlapping positioning, and determine the abnormal point, which is a coordinate point with a positioning coordinate deviation, and determine the abnormal change trend according to the deviation direction and deviation distance between the abnormal point and the theoretical coordinate point.

[0075] Preferably, the abnormality identification module 30 in the embodiment of the present application is also used to perform the following steps:

[0076] When there is a single overlapping positioning within the consistency working cycle, the abnormal point is determined according to the coordinate coincidence of the single point, and the abnormal point is a coordinate point that does not meet the coincidence degree; when there are multiple overlapping positioning within the consistency working cycle, the abnormal point is determined according to the deviation distribution of multiple points and the relative distance deviation of the multiple point combination, and the abnormal point includes single point anomaly and regional anomaly.

[0077] Preferably, the abnormality identification module 30 in the embodiment of the present application is also used to perform the following steps:

[0078] Based on the periodic timing alignment, the positioning coordinates of the transmission mechanism and the indentation / cutting part are aligned and compared respectively to determine the difference subject of the abnormal point, and the difference subject is the transmission mechanism or the indentation / cutting part.

[0079] Furthermore, the cumulative effect analysis module 40 of the embodiment of the present application is also used to perform the following steps:

[0080] Determine the traceability object according to the abnormal subject of the abnormal point, and determine the traceability time series relationship according to the time relationship corresponding to the abnormal point and the abnormal change trend; extract data from the monitoring parameters with the traceability object and the traceability time series relationship as indexes, perform time series analysis on the bearing and guide displacement data, vibration data, and temperature data corresponding to the extracted traceability object, and determine whether there is a trend of gradually increasing over time; screen the cumulative effect parameters, which are parameters that have a trend of gradually increasing over time; fit the influence relationship between the cumulative effect parameters and the displacement of the transmission mechanism or the indentation / cutting part; perform cumulative influence analysis according to the influence relationship and the time series relationship, obtain the influence amount of each cumulative effect parameter, and determine the error factor according to the influence amount.

[0081] Preferably, the cumulative effect analysis module 40 of the embodiment of the present application is also used to perform the following steps:

[0082] At each time t, calculate the influence value Δy of the cumulative effect parameter on the displacement t =β·X t +∈ t ; Based on the time series relationship, the impact value of each moment is cumulatively calculated to obtain the impact amount of the cumulative effect parameter: Among them, β is the regression coefficient of the cumulative effect parameter, X t is the value of the cumulative effect parameter recorded at time t, ∈ t is a random error term.

[0083] Furthermore, the compensation correction module 50 in the embodiment of the present application is also used to perform the following steps:

[0084] According to the historical fault samples, the bearing and guide rail abnormality analysis is carried out to determine the correspondence between the displacement data, vibration data, temperature data and the abnormal characteristics, and to establish an abnormal analysis library; the error factor is matched with the abnormal analysis library to determine the abnormal characteristics of the difference subject; according to the abnormal characteristics of the difference subject, the compensation correction strategy is determined.

[0085] Through the above-mentioned detailed description of an error correction method for a die-cutting machine in this specification, those skilled in the art can clearly understand an error correction system for a die-cutting machine in this embodiment. For the system disclosed in Example 2, since it corresponds to the method disclosed in Example 1 and has corresponding functional modules and beneficial effects, the relevant parts can be referred to the description of the method part.

[0086] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An error correction method for a die-cutting machine, characterized in that: The error correction method for a die cutting machine comprises: Determine monitoring parameters of the conveying mechanism and the indentation / cutting piece of the die-cutting machine to be tested for consistency from the monitoring database, the monitoring parameters including displacement data, vibration data, temperature data of the bearing and the guide rail, and overlapping positioning of the conveying mechanism and the indentation / cutting piece; Arranging the overlapping positioning in time series according to the acquisition time of the monitoring parameters to construct overlapping positioning time series coordinates; According to the overlapping positioning time series coordinates, identifying the abnormal points and abnormal change trends of the overlapping positioning; Based on the abnormal points and abnormal change trends, the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time series relationship are traced back, and cumulative effect analysis is performed to determine the error factor; Perform error tracking and analysis on the error factor, determine the compensation correction strategy, and send error correction reminder information; According to the overlapping positioning time series coordinates, identifying the abnormal points and abnormal change trends of the overlapping positioning, including: Acquire a consistent working cycle, and periodically divide the overlapping positioning time series coordinates according to the consistent working cycle; Perform periodic timing alignment according to the consistent working cycle segmentation result, perform deviation identification of single point or multi-point combination according to the positioning coordinates of the overlapping positioning, determine the abnormal point, the abnormal point is the coordinate point where there is a positioning coordinate deviation, and determine the abnormal change trend according to the deviation direction and deviation distance between the abnormal point and the theoretical coordinate point.

2. The error correction method for a die-cutting machine according to claim 1, characterized in that: Determining the abnormal point includes: When there is a single overlapping positioning within the consistency working cycle, the abnormal point is determined according to the coordinate coincidence of the single point, and the abnormal point is a coordinate point that does not meet the coincidence degree; When there are multiple overlapping positionings within the consistency working cycle, the abnormal point is determined according to the deviation distribution of the multiple points and the relative distance deviation of the multiple point combination. The abnormal point includes a single point abnormality and a regional abnormality.

3. The error correction method for a die-cutting machine according to claim 1, characterized in that: Determining the abnormal point also includes: Based on the periodic timing alignment, the positioning coordinates of the transmission mechanism and the indentation / cutting part are aligned and compared respectively to determine the difference subject of the abnormal point, and the difference subject is the transmission mechanism or the indentation / cutting part.

4. The error correction method for a die-cutting machine according to claim 3, characterized in that: Based on the abnormal points and abnormal change trends, the displacement data, vibration data, and temperature data of the bearings and guide rails with the same time series relationship are traced back to analyze the cumulative effect and determine the error factors, including: Determine the traceability object according to the abnormal subject of the abnormal point, and determine the traceability time sequence relationship according to the time relationship corresponding to the abnormal point and the abnormal change trend; Extract data from the monitoring parameters using the traceability object and the traceability time series relationship as indexes, and perform time series analysis on the bearing and guide rail displacement data, vibration data, and temperature data corresponding to the extracted traceability object to determine whether there is a trend that gradually increases over time; Screening cumulative effect parameters, wherein the cumulative effect parameters are parameters that tend to gradually increase over time; Fitting the influence relationship between the cumulative effect parameter and the displacement of the transmission mechanism or the indentation / cutting piece; According to the influence relationship and the time sequence relationship, a cumulative influence analysis is performed to obtain the influence amount of each cumulative effect parameter, and the error factor is determined according to the influence amount.

5. The error correction method for a die-cutting machine according to claim 4, characterized in that: According to the influence relationship and the time sequence relationship, a cumulative influence analysis is performed to obtain the influence amount of each cumulative effect parameter, including: At each time t, calculate the influence value Δy of the cumulative effect parameter on the displacement t =β·X t +∈ t ; Based on the time series relationship, the impact value at each moment is accumulated and calculated to obtain the impact value of the cumulative effect parameter: Among them, β is the regression coefficient of the cumulative effect parameter, X t is the value of the cumulative effect parameter recorded at time t, ∈ t is a random error term.

6. The error correction method for a die-cutting machine according to claim 3, characterized in that: Perform error tracking and analysis on the error factor to obtain a compensation correction strategy, including: Perform bearing and guideway abnormality analysis based on historical fault samples, determine the correspondence between displacement data, vibration data, temperature data and abnormal characteristics, and establish an abnormality analysis library; Using the error factor to match the anomaly analysis library to determine the anomaly characteristics of the difference subject; A compensation correction strategy is determined based on the abnormal characteristics of the difference subject.

7. An error correction system for a die cutting machine, characterized in that: The system is used to execute the error correction method for a die-cutting machine according to any one of claims 1 to 6, and the error correction system for a die-cutting machine comprises: A data acquisition module, the data acquisition module is used to determine the monitoring parameters of the conveying mechanism and the indentation / cutting piece of the die-cutting machine to be tested for consistency from the monitoring database, the monitoring parameters including displacement data, vibration data, temperature data of the bearing and the guide rail, and the overlapping positioning of the conveying mechanism and the indentation / cutting piece; A time sequence arrangement module, the time sequence arrangement module is used to perform time sequence arrangement on the overlapping positioning according to the acquisition time of the monitoring parameters, and construct the overlapping positioning time sequence coordinates; An abnormality identification module, the abnormality identification module is used to identify abnormal points and abnormal change trends of overlapping positioning according to the overlapping positioning time series coordinates; A cumulative effect analysis module, wherein the cumulative effect analysis module is used to trace the displacement data, vibration data, and temperature data of the bearing and the guide rail having the same time series relationship based on the abnormal points and abnormal change trends, perform cumulative effect analysis, and determine the error factor; The compensation correction module is used to perform error tracking and analysis on the error factor, determine the compensation correction strategy, and send error correction reminder information.

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