Intelligent adjustment efficient plate turnover system and method

Abstract

The invention relates to the technical field of panel turnover systems, in particular to an intelligent adjustment efficient panel turnover system and method. The judgment module is used for responding to the correction check signal and judging whether a historical correction timestamp exists or not; the acquisition module is used for acquiring a historical turnover plate model from the latest historical correction timestamp to the current time; the matching module is used for matching in the database to obtain the plate reference weight corresponding to each historical turnover plate model; the counting module is used for counting the total plate overturning duration of each historical overturning plate model from the latest historical correction timestamp to the current time; the set generation module is used for obtaining a correction data array set based on the correction data array corresponding to each historical turnover plate model; the calculation module is used for calculating a wear error degree R based on the correction data array set; and the alarm module sends out correction alarm information. The method and the device have the effects of accurately judging the wear condition of the equipment and timely sending out a correction alarm.

Description

Technical Field

[0001] The present invention relates to the technical field of flap systems, and in particular to an intelligently regulated and efficient flap system and method. Background Art

[0002] With the continuous development of automation and intelligent technology, the control system of the flip machine is also facing increasingly higher requirements for accuracy and efficiency. Usually, the staff inputs the plate size, or selects the plate model, and sets the flipping speed. The flip machine automatically configures the operating parameters of the clamping and conveying mechanism and the flipping mechanism, such as track parameters, to adapt to the model or size, or it is manually configured by the staff.

[0003] Traditional flap machine control systems often rely on fixed program settings and lack dynamic adjustment and feedback mechanisms for actual operating conditions. This results in performance deviations caused by wear, load changes and other factors that are difficult to detect and correct in a timely manner after long-term operation, thus affecting efficiency and quality.

[0004] Most existing intelligent adjustment systems focus on optimizing the control of a single parameter and lack the ability to comprehensively evaluate and predict the overall performance of the equipment. Especially when dealing with a variety of plate types and complex flipping requirements, how to more accurately judge the wear of the equipment and issue correction alarms in time to avoid production interruptions and product quality problems. Summary of the invention

[0005] In order to more accurately judge the wear of equipment, issue correction alarms in time, and avoid production interruptions and product quality problems, the present application provides an intelligent adjustment and efficient flap system.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0007] An intelligently adjustable and efficient flap system, comprising:

[0008] The log recording module is used to record the historical calibration timestamp, the number of flip batches, and the plate model and flipping time of each flip;

[0009] A determination module, for responding to the calibration check signal and determining whether there is a historical calibration timestamp;

[0010] An acquisition module, used to obtain the historical flip plate model from the latest historical correction timestamp to the current time, if any;

[0011] A matching module, used for matching the plate reference weight corresponding to each historical flipped plate model in a database, wherein a model-weight mapping table is pre-stored in the database, wherein the model-weight mapping table represents a mapping relationship between the plate model and the plate reference weight, wherein the plate reference weight is calculated based on the plate size;

[0012] The statistics module is used to count the total flipping time of each historical flipping plate model from the latest historical correction timestamp to the current time;

[0013] A set generation module, used to take the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtain a correction data array set based on the correction data array corresponding to each historical flip plate model;

[0014] A calculation module, used for calculating the wear error R based on the correction data array set;

[0015] The alarm module is used to issue a correction alarm message if the wear error R and the preset value R1 satisfy a preset relationship.

[0016] In a preferred example, the present application can be further configured as follows: the wear error R is calculated based on the correction data array set, and is calculated using the following formula:

[0017]

[0018] Where R is the wear error, n is the number of elements in the correction data array set, and W i To correct the plate reference weight of the i-th element in the data array, T i To correct the total flipping time of the i-th element in the data array, W max is the maximum plate reference weight in the correction data array set; a is the influencing proportional coefficient.

[0019] In a preferred example, the present application can be further configured as follows: the satisfying of the preset relationship means R+E*R / d≥R1; d is the number of flipped batches from the latest historical correction timestamp to the current time, where E is a preset constant.

[0020] In a preferred example, the present application can be further configured as follows: the value range of a is 0.005 to 0.02.

[0021] In a preferred example, the present application can be further configured as follows: a is 0.01.

[0022] In a preferred example, the present application can be further configured as follows: the reference weight unit of the plate is Kg, and the total flipping time unit of the plate is h.

[0023] In a preferred example, the present application can be further configured as follows: the acquisition module is also used to acquire the historical flipping plate model from the start working time to the current time if it does not exist.

[0024] An intelligently regulated and efficient flapping method for flapping alarm includes the following steps:

[0025] S1, responding to a correction check signal and determining whether there is a historical correction timestamp;

[0026] S2. If it exists, obtain the historical flip plate model from the latest historical correction timestamp to the current time;

[0027] S3, obtaining the reference weight of the plate corresponding to each historical flipped plate model by matching in a database, wherein a model-weight mapping table is pre-stored in the database;

[0028] S4, counting the total plate flipping time of each historical flip plate model from the latest historical correction timestamp to the current time;

[0029] S5, taking the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtaining a correction data array set based on the correction data arrays corresponding to each historical flip plate model;

[0030] S6, calculating the wear error R based on the correction data array set;

[0031] S7. If the wear error R and the preset value R1 satisfy a preset relationship, a correction alarm message is issued.

[0032] In a preferred example, the present application can be further configured as follows: the wear error R is calculated based on the correction data array set, and is calculated using the following formula:

[0033]

[0034] Where R is the wear error, n is the number of elements in the correction data array set, and W i To correct the plate reference weight of the i-th element in the data array, T i To correct the total flipping time of the i-th element in the data array, W max is the maximum plate reference weight in the correction data array set; a is the influencing proportional coefficient.

[0035] In a preferred example, the present application can be further configured as follows: the satisfying of the preset relationship means R+E*R / d≥R1; d is the number of flipped batches from the latest historical correction timestamp to the current time, where E is a preset constant.

[0036] In summary, the present application includes at least one of the following beneficial technical effects:

[0037] 1. By integrating log recording, data matching, statistical analysis and other functional modules, the system can realize comprehensive monitoring and precise correction of the operating status of the flipping mechanism of the panel flipping machine. The system can automatically calculate the wear error according to different plate models and flipping data, and issue correction alarm information in time, and can automatically trigger correction prompts. After the staff performs timely correction and maintenance, it can ensure its stable operation. This effectively extends the service life of the equipment and helps avoid production interruptions caused by equipment failures.

[0038] 2. The proposed wear error algorithm can map the original data into a unified range (usually between 0 and 1), thereby eliminating the impact of different dimensions and data ranges on the estimation results. A normalized logarithmic function is used to capture the effect of the plate weight on the slightly increased scrap rate. When the plate weight Wi is small, the value of the logarithmic function is also small, indicating that the impact on the scrap rate is small; when the plate weight Wi is close to Wmax, the value of the logarithmic function is close to 1, indicating that the impact on the scrap rate is close to the maximum value, but it is still slightly increased. And by adding the coefficient a, it can be used to adjust the overall amplitude of the impact of weight and flipping time on the wear error.

[0039] 3. The scrap data of different equipment or at different time points can be effectively compared and analyzed, and the logarithmic function has the characteristic of smoothing data, which can reduce the impact of extreme values ​​or abnormal values ​​in the data on the estimation results. This helps to improve the stability and accuracy of equipment scrap estimation; and the normalized logarithmic function can retain the change trend in the original data, so that the scrap estimation results can reflect the trend of equipment performance changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the overall structure of the panel turning machine used in the intelligent adjustment and high-efficiency panel turning system in one embodiment of the present application;

[0041] Figure 2 This is a schematic diagram of module connection of an intelligently adjustable high-efficiency flap system in one embodiment of the present application;

[0042] Figure 3 It is a flow chart for implementing the intelligent adjustment and efficient flap alarm method in one embodiment of the present application.

[0043] Figure numerals: 1, frame; 2, transmission flap mechanism; 21, clamping and conveying mechanism; 22, turning mechanism; 23, mounting seat. DETAILED DESCRIPTION

[0044] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0045] It should be noted that the terms "first", "second", etc. in the present invention are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure.

[0046] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0047] Figure 1 is a schematic diagram according to the first embodiment of the present application, such as Figure 1 As shown, the intelligent adjustment and high-efficiency flapping system is applied to the flapping machine control system. The flapping machine usually includes a frame 1 and a transmission flapping mechanism 2 installed on the frame 1, and the transmission flapping mechanism 2 includes two clamping conveying mechanisms 21 and a flipping mechanism 22; the two clamping mechanisms are arranged on both sides of the conveying space, and the clamping conveying mechanism 21 includes two parallel conveyor belts and a driving member that drives the two conveyor belts to run synchronously so that the plate between the two conveyor belts moves in one direction. The two conveyor belts clamp the plate while enveloping the plate. Usually, the clamping conveying mechanism 21 is installed in the mounting seat 23 of the flipping mechanism 22. The clamping conveying mechanism 21 is used to convey the plate conveyed by the upper computer, and the flipping mechanism 22 realizes the flipping function by flipping the mounting seat 23 on which the clamping conveying mechanism 21 is installed. In addition, the control system of the flapping machine in the related art usually provides users with the option of selecting the plate model or size to automatically adapt to the operating parameters, such as track parameters (the spacing of the clamping conveying mechanism 21), the flipping speed of the flipping mechanism 22, etc., which can also be adjusted and set by the staff.

[0048] Combination Figure 2The intelligent adjustment and efficient plate turning system includes a log recording module, a judgment module, an acquisition module, a matching module, a statistical module, a set generation module, a calculation module and an alarm module. Among them, the log recording module is used to record the historical correction timestamp, the number of flipping batches, and the plate model and flipping time of each flip.

[0049] Specifically, recording the plate model and flipping duration of each flip means that during the operation of the equipment, the flipping mechanism's flipping action start timestamp and flipping action end timestamp are recorded to calculate the time difference to record the single flipping duration, and associate it with the plate model currently flipped. Generally speaking, the heavier the plate weight, the longer the set flipping duration; the historical correction timestamp refers to the timestamp of the equipment's previous correction and maintenance, and correction and maintenance refers to correction and maintenance of the flipping mechanism on the flipping angle deviation problem. A flipping batch refers to the same equipment, the same model, and the same shift as a flipping batch.

[0050] The determination module is used for responding to the correction check signal and determining whether there is a historical correction timestamp.

[0051] The calibration check signal can be sent by the staff, or the system can be set to send a calibration check signal after each flip batch is completed, so that each time a batch of plates is flipped, it is automatically judged once. To determine whether there is a historical calibration timestamp is to find out whether there is a historical calibration timestamp in the information recorded in the log recording module.

[0052] The acquisition module is used to obtain the historical flip plate model from the latest historical correction timestamp to the current time if it exists; if it does not exist, it is used to obtain the historical flip plate model from the start working timestamp to the current time.

[0053] It can be understood that if a historical calibration timestamp exists, it means that calibration and maintenance have been carried out. In this case, the records before the latest historical calibration timestamp can be ignored, because the deviation is returned to zero or adjusted to the baseline value after the calibration and maintenance. The starting working timestamp refers to the timestamp of the first operation of the equipment. If it does not exist, it means that calibration and maintenance have not been carried out. In this case, the historical flip plate model from the starting working timestamp to the current time is obtained.

[0054] The matching module is used to match the plate reference weight corresponding to each historical flipped plate model in the database. The database pre-stores a model-weight mapping table, and the model-weight mapping table represents the mapping relationship between the plate model and the plate reference weight. The plate reference weight is calculated based on the plate size.

[0055] Specifically, the reference weight of the plate can be calculated by length x width x thickness x reference density. The reference density can be obtained by actually weighing a plate and then calculating the ratio of the length x width x thickness of the plate. It can be understood that in this embodiment, it is not necessary for each plate to have a very precise weight value, and only an approximate reference weight is required to meet subsequent calculation requirements.

[0056] The statistics module is used to count the total plate flipping time of each historical flip plate model from the latest historical correction timestamp to the current time.

[0057] By calculating the sum of the flipping time of a certain plate model from the latest historical correction timestamp to the current time in the log recording module, the total flipping time of the plate of the historical flipped plate model can be obtained, and thus the total flipping time of each historical flipped plate model can be obtained.

[0058] The set generation module is used to use the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtain a correction data array set based on the correction data array corresponding to each historical flip plate model.

[0059] Specifically, a correction data array is [W, T], where W is the reference weight of a plate of a historical flipping plate model, T is the total flipping time of the plate of the historical flipping plate model, and the correction data array set has n elements, and each element in the correction data array set is a correction data array.

[0060] A calculation module is used to calculate the wear error R based on the correction data array set.

[0061] The specific calculation is done using the following formula:

[0062]

[0063] Where R is the wear error, n is the number of elements in the correction data array set, and W i To correct the plate reference weight of the i-th element in the data array, T i To correct the total flipping time of the i-th element in the data array, W max is the maximum reference weight of the plate in the calibration data array set; a is the impact ratio coefficient. The unit of the plate reference weight is Kg, and the unit of the total plate flipping time is h.

[0064] The normalized logarithmic function can map the original data into a uniform range (usually between 0 and 1), thereby eliminating the impact of different dimensions and data ranges on the estimation results. This allows the scrap data of different equipment or at different time points to be effectively compared and analyzed. The logarithmic function has the characteristic of smoothing data, which can reduce the impact of extreme values ​​or outliers in the data on the estimation results. This helps to improve the stability and accuracy of equipment scrap estimation; and the normalized logarithmic function can retain the changing trend in the original data, so that the scrap estimation results can reflect the trend of equipment performance changes.

[0065] It is worth noting that due to the influence of weight and duration on wear, that is, in different plate flipping processes, the heavier the plate weight and the longer the flipping time, the wear effect on the flipping mechanism will increase slightly. Therefore, a normalized logarithmic function is used to capture the influence of the plate weight on the slightly increased scrap rate. When the plate weight Wi is small, the value of the logarithmic function is also small, indicating that the influence on the scrap rate is small; when the plate weight Wi is close to Wmax, the value of the logarithmic function is close to 1, indicating that the influence on the scrap rate is close to the maximum value, but it is still slightly increased. And by adding the coefficient a, it can be used to adjust the overall amplitude of the influence of weight and flipping time on the wear error at the same time.

[0066] Based on the formula constructed above, the coefficient a and the benchmark wear error R2 are trained through multiple groups of correction data array set samples. The benchmark wear error R2 and R are calculated using the same formula. Each group of correction data array set is obtained from the historical data when the equipment is used until the deviation reaches the unqualified range; the unqualified range is determined according to the actual flipping requirements and equipment accuracy, for example, it can be 1°, or other standards can be used, such as the axis deviation is not greater than ±3mm as the judgment standard.

[0067] Then, a machine learning model, such as a nonlinear regression model or a neural network, is used for fitting or training. In this embodiment, a neural network is used for training.

[0068] The neural network is trained through multiple sets of sample data to obtain a formula model, thereby obtaining the values ​​of coefficient a and wear error R2. The value of a is in the range of 0.005 to 0.02. In one embodiment, a is 0.01. The value of R2 is 0.84.

[0069] The alarm module is used to issue a correction alarm message if the wear error R and the preset value R1 satisfy a preset relationship.

[0070] Specifically, the preset relationship is satisfied, which means R+E*R / d≥R1; wherein R1=R2+E*R2 / d, wherein d is the number of rollover batches from the latest historical correction timestamp to the current time, and wherein E is a preset constant. E can be set to 5, which serves to provide a prediction margin and a certain fault tolerance, and can further issue an early warning.

[0071] This application also provides an intelligent adjustment and efficient flap alarm method, referring to Figure 3 ,include:

[0072] S1. Respond to a correction check signal and determine whether there is a historical correction timestamp.

[0073] S2. If it exists, obtain the historical flip plate model from the latest historical correction timestamp to the current time.

[0074] S3. Obtain the reference weight of the plate corresponding to each historical flipped plate model by matching in a database, wherein a model-weight mapping table is pre-stored in the database.

[0075] The model-weight mapping table represents the mapping relationship between the plate model and the plate reference weight, and the plate reference weight is calculated based on the plate size.

[0076] S4. Count the total plate flipping time of each historical flip plate model from the latest historical calibration timestamp to the current time.

[0077] S5. Taking the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtaining a correction data array set based on the correction data arrays corresponding to each historical flip plate model.

[0078] S6. Calculate the wear error R based on the correction data array set.

[0079] S7. If the wear error R and the preset value R1 satisfy a preset relationship, a correction alarm message is issued.

[0080] The specific technical definition of the intelligent adjustment efficient flap alarm method can adopt the definition of the intelligent adjustment efficient flap system mentioned above, which will not be repeated here. Each step of the above intelligent adjustment efficient flap alarm method can be implemented in whole or in part by software, hardware and their combination.

[0081] The embodiments of the present invention have the following technical effects: 1. By integrating functional modules such as log recording, data matching, and statistical analysis, the system can realize comprehensive monitoring and precise correction of the operating status of the flipping mechanism of the flipping machine. The system can automatically calculate the wear error according to different plate models and flipping data, and issue correction alarm information in time, and can automatically trigger correction prompts. After the staff performs timely correction and maintenance, it can ensure stable operation. This effectively extends the service life of the equipment and helps avoid production interruptions caused by equipment failures.

[0082] 2. The proposed wear error algorithm can map the original data into a unified range (usually between 0 and 1), thereby eliminating the impact of different dimensions and data ranges on the estimation results. A normalized logarithmic function is used to capture the effect of the plate weight on the slightly increased scrap rate. When the plate weight Wi is small, the value of the logarithmic function is also small, indicating that the impact on the scrap rate is small; when the plate weight Wi is close to Wmax, the value of the logarithmic function is close to 1, indicating that the impact on the scrap rate is close to the maximum value, but it is still slightly increased. And by adding the coefficient a, it can be used to adjust the overall amplitude of the impact of weight and flipping time on the wear error.

[0083] 3. The scrap data of different equipment or at different time points can be effectively compared and analyzed, and the logarithmic function has the characteristic of smoothing data, which can reduce the impact of extreme values ​​or abnormal values ​​in the data on the estimation results. This helps to improve the stability and accuracy of equipment scrap estimation; and the normalized logarithmic function can retain the change trend in the original data, so that the scrap estimation results can reflect the trend of equipment performance changes.

[0084] Various implementations of the systems and techniques described herein can be realized in digital electronic circuit systems, integrated circuit systems, dedicated ASICs (application specific integrated circuits), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0085] These computer programs (also referred to as programs, software, software applications, or code) include machine instructions for programmable processors and can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, device, and / or means (e.g., disk, optical disk, memory, programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0086] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0087] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0088] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0089] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. Intelligent adjustment and high-efficiency flap system, applied to flap machine control system, characterized by: include: The log recording module is used to record the historical calibration timestamp, the number of flip batches, and the plate model and flipping time of each flip; A determination module, for responding to the calibration check signal and determining whether there is a historical calibration timestamp; An acquisition module, used to obtain the historical flip plate model from the latest historical correction timestamp to the current time, if any; A matching module, used for matching the plate reference weight corresponding to each historical flipped plate model in a database, wherein a model-weight mapping table is pre-stored in the database, wherein the model-weight mapping table represents a mapping relationship between the plate model and the plate reference weight, wherein the plate reference weight is calculated based on the plate size; The statistics module is used to count the total flipping time of each historical flipping plate model from the latest historical correction timestamp to the current time; A set generation module, used to use the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtain a correction data array set based on the correction data array corresponding to each historical flip plate model; A calculation module, used for calculating the wear error R based on the correction data array set; The alarm module is used to issue a correction alarm message if the wear error R and the preset value R1 satisfy a preset relationship.

2. The intelligent adjustment and high-efficiency flap system according to claim 1, characterized in that: The wear error R is calculated based on the correction data array set, and is calculated using the following formula: Where R is the wear error, n is the number of elements in the correction data array set, and W i To correct the plate reference weight of the i-th element in the data array, T i To correct the total flipping time of the i-th element in the data array, W max is the maximum plate reference weight in the correction data array set; a is the influencing proportional coefficient.

3. The intelligent adjustment and high-efficiency flap system according to claim 1, characterized in that: The preset relationship is satisfied when R+E*R / d≥R1; d is the number of rollover batches from the latest historical correction timestamp to the current time, where E is a preset constant.

4. The intelligent adjustment and high-efficiency flap system according to claim 2, characterized in that: The value range of a is 0.005 to 0.

02.

5. The intelligent adjustment and high-efficiency flap system according to claim 2 or 4, characterized in that: The a is 0.

01.

6. The intelligent adjustment and high-efficiency flap system according to claim 1, characterized in that: The reference weight of the plate is in kg; the total turning time of the plate is in h.

7. The intelligent adjustment and high-efficiency flap system according to claim 1, characterized in that: The acquisition module is also used to acquire the historical flipping plate model from the start working time to the current time if it does not exist.

8. An intelligent adjustment and efficient flapping method, characterized in that: The intelligent adjustment and efficient flapping method is used to perform flapping alarm, and comprises the following steps: S1, responding to a correction check signal and determining whether there is a historical correction timestamp; S2. If it exists, obtain the historical flip plate model from the latest historical correction timestamp to the current time; S3, obtaining the reference weight of the plate corresponding to each historical flipped plate model by matching in a database, wherein a model-weight mapping table is pre-stored in the database; S4, counting the total plate flipping time of each historical flip plate model from the latest historical correction timestamp to the current time; S5, taking the plate reference weight and the total plate flipping time of the same historical flip plate model as a correction data array, and obtaining a correction data array set based on the correction data arrays corresponding to each historical flip plate model; S6, calculating the wear error R based on the correction data array set; S7. If the wear error R and the preset value R1 satisfy a preset relationship, a correction alarm message is issued.

9. The intelligent adjustment and efficient flapping method according to claim 8, characterized in that: The wear error R is calculated based on the correction data array set, and is calculated using the following formula: Where R is the wear error, n is the number of elements in the correction data array set, and W i To correct the plate reference weight of the i-th element in the data array, T i To correct the total flipping time of the i-th element in the data array, W max is the maximum plate reference weight in the correction data array set; a is the influencing proportional coefficient.

10. The intelligent adjustment and efficient flapping method according to claim 8, characterized in that: The preset relationship is satisfied when R+E*R / d≥R1; d is the number of rollover batches from the latest historical correction timestamp to the current time, where E is a preset constant.

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