A multi-channel intelligent collaborative control method and system for a book and roll dual-purpose machine

Abstract

The application discloses a kind of book and volume dual-purpose machine multi-channel intelligent collaborative control method and system, it is related to book and volume dual-purpose machine multi-channel intelligent collaborative control field, for improving the overall processing efficiency and product quality of equipment, including: obtaining the running information and material information of different processing channels;When the equipment is switched from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the running information of the processing channel corresponding to the first processing mode;According to the running information and material information of different processing channels, determine the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode;According to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode, adjust the actuator of the processing channel corresponding to the second processing mode.

Description

Technical Field

[0001] This invention relates to the field of multi-channel intelligent collaborative control of a book-and-scroll dual-purpose machine, and particularly to a multi-channel intelligent collaborative control method and system for a book-and-scroll dual-purpose machine. Background Technology

[0002] In modern industrial production and document processing, automated equipment plays an increasingly important role. Especially in scenarios requiring the simultaneous processing of multiple material formats, such as books and exam papers, higher demands are placed on the flexibility and efficiency of the equipment. Book-and-exam paper processing machines, designed to simultaneously process different materials, are intended to improve overall processing efficiency. However, in actual operation, these machines often face challenges such as a lack of effective coordination between processing channels, difficulty in dynamically adjusting parameters, and insufficient information exchange between processes. These problems severely restrict the performance of the equipment and the quality of the products.

[0003] Traditional dual-purpose book and paper processing machines suffer from problems such as a lack of effective coordination between processing channels, difficulty in dynamically adjusting parameters, and insufficient information exchange between processes when handling multiple materials such as books and exam papers. These problems severely restrict the performance of the equipment and the quality of the products, leading to interruptions in the processing or fluctuations in the quality of the finished products, making it difficult to meet the current production requirements for high precision and high efficiency. Summary of the Invention

[0004] This application discloses a multi-channel intelligent collaborative control method and system for a book-and-roll dual-purpose machine, which aims to solve the shortcomings of existing book-and-roll dual-purpose machines in multi-channel collaborative control, such as the lack of effective collaboration between processing channels, difficulty in dynamically adjusting parameters, and insufficient information exchange between processes.

[0005] In a first aspect, this application discloses a multi-channel intelligent collaborative control method for a dual-purpose book and scroll machine, comprising the following steps:

[0006] Obtain operational and material information for different processing channels; these channels include book processing channels and exam paper processing channels.

[0007] When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode.

[0008] Based on the operation information and material information of different processing channels, determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode;

[0009] Adjust the actuator of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

[0010] Optionally, the first processing mode is the book processing mode, and the second processing mode is the exam paper processing mode. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode, including:

[0011] Determine the curing speed of the adhesive layer based on operational information;

[0012] If the curing speed of the adhesive layer is less than the curing speed threshold, adjust the feed speed of the cutting tool in the processing channel corresponding to the second processing mode.

[0013] Optionally, adjust the feed rate of the cutting tool in the processing channel corresponding to the second processing mode, including:

[0014] Determine the initial feed rate of the cutting tool;

[0015] Reduce the original feed speed of the cutting tool according to the preset ratio.

[0016] Optionally, the initial feed rate satisfies the following relationship:

[0017] V2 = V1 - C1 * H1 + C2 * R1;

[0018] Where V2 is the original feed speed, V1 is the default feed speed, C1 and C2 are preset adjustment coefficients, H1 is the paper thickness, and R1 is the paper toughness.

[0019] Optionally, the first processing mode is the exam paper processing mode, and the second processing mode is the book processing mode. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode, including:

[0020] Determine paper toughness based on operational information;

[0021] If the paper's toughness is less than the toughness threshold, adjust the pressing force of the sealing mechanism in the processing channel corresponding to the second processing mode.

[0022] Optionally, when the second processing mode is the book processing mode, based on the operation information and material information of different processing channels, a processing parameter adjustment scheme for the processing channel corresponding to the second processing mode is determined, including:

[0023] Based on the operating and material information of different processing channels, determine the adhesive layer thickness and the pressure of the pressing rollers on the book;

[0024] Determine the flow rate adjustment of the glue pump based on the thickness of the glue layer;

[0025] The pressure of the pressing roller on the book is adjusted by the displacement of the servo motor according to the PID algorithm to control the pressing force;

[0026] Based on the adhesive layer thickness, the pressure of the pressing roller on the book, the flow rate adjustment of the adhesive pump, and the pressing force, the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode is determined.

[0027] Optionally, the flow rate regulation of the glue pump shall satisfy the following relationship:

[0028] ΔF = K_p3*(H3-H2) + K_i3*(H3-H2)+ K_d3*(H3-H2);

[0029] Where ΔF is the flow rate adjustment of the glue pump, H3 is the target glue layer thickness, H2 is the glue layer thickness, and K_p3, K_d3, and Ki3 are the parameters of the PID controller.

[0030] Optionally, when the second processing mode is the test paper processing mode, based on the operation information and material information of different processing channels, a processing parameter adjustment scheme for the processing channel corresponding to the second processing mode is determined, including:

[0031] Based on the operation and material information of different processing channels, determine the flatness of the cutting edge and the stacking height of the test papers;

[0032] If the flatness of the cut edge exceeds the allowable range, the stroke of the stacking pusher is adjusted using a PID algorithm;

[0033] Based on the flatness of the cut edges, the stacking height of the test papers, and the stroke of the adjusted stacking pusher, the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode is determined.

[0034] Optionally, the method also includes:

[0035] Obtain process quality data for both book processing and exam paper processing channels;

[0036] When a correlation is found between the process quality data of the book processing channel and the process quality data of the test paper processing channel, and both process quality data of the book processing channel and the test paper processing channel show a continuous downward trend, it is determined that there is a cross-process quality decline trend.

[0037] Based on the quality decline trend across processes, generate intervention instructions;

[0038] Intervention instructions were deployed, and the processing quality of the book processing channel and the test paper processing channel was continuously monitored. Based on the monitoring results, the processing parameters were adjusted accordingly.

[0039] Secondly, this application also discloses a multi-channel intelligent collaborative control system for a dual-purpose book and scroll machine, the system comprising:

[0040] The information acquisition module is used to acquire operational and material information for different processing channels, including book processing channels and exam paper processing channels.

[0041] The parameter adjustment module is used to adjust the initial processing parameters of the processing channel corresponding to the second processing mode based on the operating information of the processing channel corresponding to the first processing mode when the equipment switches from the first processing mode to the second processing mode and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode.

[0042] The scheme determination module is used to determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode based on the operation information and material information of different processing channels;

[0043] The execution coordination module is used to adjust the execution mechanism of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

[0044] Beneficial effects

[0045] This application discloses a multi-channel intelligent collaborative control method for a book-and-scroll convertible machine. By acquiring operational and material information from different processing channels, and when switching equipment modes while the material batch is the same, the initial processing parameters of the second processing mode are adjusted based on the operational information of the first processing mode. Furthermore, a processing parameter adjustment scheme is determined based on the operational and material information, and the actuator is adjusted accordingly. This method effectively solves the problems of insufficient coordination between processing channels, difficulty in dynamically adjusting parameters, and insufficient information exchange between processes in existing book-and-scroll convertible machines. Through this intelligent collaborative control, the equipment can dynamically adjust processing parameters according to actual conditions, avoiding processing interruptions and product quality fluctuations caused by process sequence conflicts or parameter mismatches. This significantly improves the flexibility, efficiency, and product quality of the equipment, meeting the requirements of modern production for high precision and high efficiency. Attached Figure Description

[0046] Figure 1 This is a schematic flowchart of a multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine provided in an embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of a multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine provided in an embodiment of the present invention;

[0048] Figure 3 This is a schematic diagram of a multi-channel intelligent collaborative control system for a book-and-scroll dual-purpose machine provided in an embodiment of the present invention. Detailed Implementation

[0049] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0050] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0051] To better understand the technical solution proposed in this application, some key terms involved will be explained first.

[0052] The "book-and-exam-paper dual-purpose machine" involved in this application refers to an automated device capable of simultaneously processing books and exam papers, which internally includes independent or semi-independent "book processing channels" and "exam paper processing channels." The "book processing channel" is mainly responsible for processes such as book binding, gluing, and cutting, while the "exam paper processing channel" is mainly responsible for processes such as cutting, stacking, and sorting exam papers.

[0053] "Operating information" refers to various real-time data generated during equipment operation, such as transmission speed, temperature, pressure, motor speed, and sensor readings for each processing channel. This information reflects the current operating status of the equipment and environmental conditions. "Material information" refers to the attribute data of the materials to be processed, such as paper thickness, toughness, basis weight, dimensions, batch number, and adhesive type and curing speed. This information is crucial for determining appropriate processing parameters.

[0054] "First processing mode" and "second processing mode" refer to the operating states of the equipment at different times, such as book processing mode or exam paper processing mode. When the equipment switches from one processing mode to another, this method adjusts the parameters according to specific conditions. "Material batch" refers to materials produced or purchased in the same batch, which have similar physical and chemical properties. When the material batches are the same in different processing modes, the empirical data of the previous mode can be used to optimize the initial parameters of the subsequent mode.

[0055] "Initial processing parameters" refer to the preset processing parameters based on the operating information of the first processing mode when the second processing mode is started, such as the feed speed of the cutting tool and the pressing force of the sealing mechanism. Adjusting these parameters helps the equipment enter a stable working state more quickly. "Processing parameter adjustment plan" refers to the detailed parameter adjustment strategy formulated for the second processing mode based on real-time operating information and material information, including the direction, magnitude, and timing of parameter adjustment. "Actuators" refer to the components in the equipment that directly perform processing operations, such as the cutting tool, sealing mechanism, pressing roller, glue pump, and stacking pusher, which perform corresponding actions according to the adjustment plan.

[0056] The following specific embodiments will provide a detailed introduction and explanation of a multi-channel intelligent collaborative control method for a dual-purpose book and roll machine provided in this application.

[0057] Reference Figure 1 This invention provides a multi-channel intelligent collaborative control method for a dual-purpose book and scroll machine, comprising the following steps:

[0058] S1, obtains the operation information and material information of different processing channels.

[0059] The different processing channels include the book processing channel and the exam paper processing channel.

[0060] For example, various sensors, such as speed sensors, temperature sensors, pressure sensors, thickness sensors, and vision sensors, can be installed on the book processing and exam paper processing channels to collect real-time operational data such as transmission speed, temperature, pressure, paper thickness, adhesive layer thickness, and cutting edge smoothness. Simultaneously, material information such as paper type, batch number, adhesive type, target adhesive layer thickness, and target cutting size can be obtained through manual input, scanning of material barcodes, or integration with the production management system. Acquiring this information forms the foundation for subsequent intelligent collaborative control.

[0061] S2. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, adjust the initial processing parameters of the processing channel corresponding to the second processing mode according to the operating information of the processing channel corresponding to the first processing mode.

[0062] For example, when the equipment switches from book processing mode to exam paper processing mode, and the batches of paper processed in both modes are the same, the paper characteristic data accumulated in the book processing mode (such as paper thickness, toughness, adhesive curing speed, etc.) can be used to preset the initial cutting tool feed speed or stacking pusher stroke in the exam paper processing mode. This pre-adjustment can effectively reduce the debugging time when starting a new mode and improve production efficiency.

[0063] S3. Based on the operation information and material information of different processing channels, determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode.

[0064] For example, when the equipment is in book processing mode, it can dynamically calculate the flow rate adjustment of the glue pump and the displacement of the servo motor based on real-time monitored operating information such as glue layer thickness and pressure of the pressing roller on the book, combined with material information (such as glue type and paper characteristics), to control the pressing force and thus form a complete processing parameter adjustment scheme. When the equipment is in test paper processing mode, it can determine the stroke adjustment scheme of the stacking pusher based on operating information such as the flatness of the cut edge and the stacking height of the test papers, combined with material information.

[0065] S4. Adjust the actuator of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

[0066] For example, in book processing mode, the glue pump's speed or start-up time is controlled based on a predetermined glue pump flow rate adjustment to adjust the glue supply; the spacing or pressure of the pressing rollers is controlled based on the servo motor's displacement adjustment to ensure the book's pressing quality. In test paper processing mode, the movement of the stacking pusher is controlled based on a predetermined stacking pusher stroke adjustment scheme to ensure the neatness and height of the test papers stacked. In this way, precise control of the equipment's actuators is achieved, ensuring the stability of the processing and product quality.

[0067] The multi-channel intelligent collaborative control method for the book / paper dual-purpose machine proposed in this application achieves intelligent parameter adjustment during mode switching and dynamic optimization during processing by acquiring, analyzing, and coordinating the operation and material information of different processing channels. Specifically, when the machine switches from the first processing mode to the second processing mode, and the batch of materials processed in both modes is the same, this method intelligently adjusts the initial processing parameters of the second processing mode based on the operation information of the first processing mode. For example, if the machine switches from the book processing mode to the test paper processing mode, and the same batch of paper is being processed, the system will use the paper characteristic data (such as paper thickness and toughness) accumulated in the book processing mode to preset the cutting tool feed speed or stacking pusher stroke in the test paper processing mode. This pre-adjustment mechanism can effectively reduce the debugging time when starting a new mode, improve production efficiency, and avoid initial scrap due to parameter mismatch.

[0068] Subsequently, the system dynamically determines the processing parameter adjustment scheme for the second processing mode based on real-time operating information and material information from different processing channels. For example, in book processing mode, the system uses real-time monitored data such as adhesive layer thickness and pressure of the pressing rollers on the book, combined with material information, to calculate the flow rate adjustment of the adhesive pump and the displacement adjustment of the servo motor through intelligent algorithms, thus forming a refined parameter adjustment scheme. In test paper processing mode, the system determines the stroke adjustment scheme of the stacking pusher based on data such as the flatness of the cut edges and the stacking height of the test papers. This dynamic adjustment mechanism allows the equipment to flexibly adapt to changes in different materials and working conditions, ensuring the stability of the processing process and product quality.

[0069] Finally, based on the determined processing parameter adjustment scheme, the system precisely adjusts the actuators of the processing channels corresponding to the second processing mode. For example, in book processing mode, the system controls the speed of the glue pump and the spacing of the pressing rollers to achieve precise control of the glue layer thickness and pressing force. In test paper processing mode, the system controls the movement of the stacking pusher to ensure the neatness and height of the test papers stacked. Through this closed-loop control, this method ensures the automation and intelligence of the processing process, significantly improving the overall performance of the equipment. In summary, this application, by introducing an intelligent collaborative control strategy, realizes information sharing and parameter linkage between multiple channels of the book / test paper dual-purpose machine, effectively solving problems such as poor equipment coordination, untimely parameter adjustment, and product quality fluctuations in the prior art, and significantly improving the automation level, production efficiency, and product quality of the equipment.

[0070] like Figure 2 As shown, specifically, the first processing mode is the book processing mode, and the second processing mode is the exam paper processing mode. Based on the operating information of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted, including:

[0071] S101. Determine the curing speed of the adhesive layer based on the operating information.

[0072] Specifically, the adhesive curing speed refers to the rate at which the adhesive changes from a liquid to a solid state in the book processing channel. This speed is affected by various factors, such as ambient temperature, humidity, adhesive type, amount of adhesive applied, and paper absorbency. The adhesive curing speed can be determined in several ways. For example, temperature sensors, humidity sensors, and infrared sensors can be deployed in the book processing channel to monitor real-time changes in the adhesive layer's temperature, humidity, surface reflectivity, or viscosity, thereby indirectly or directly calculating the curing speed. Alternatively, a pre-set curing model can be used to predict the curing speed in conjunction with environmental parameters and adhesive characteristics. A curing speed threshold is a preset critical value used to determine whether the adhesive layer has reached a sufficient degree of curing to avoid problems during subsequent cutting. This threshold can be set based on empirical data, experimental results, or the performance requirements of specific materials. When the determined adhesive curing speed is lower than this threshold, it indicates that the adhesive layer is not fully cured or the curing speed is too slow. Cutting at this point may result in adhesive adhesion, uneven cut edges, or damage to the cutting tools.

[0073] S102. When the curing speed of the adhesive layer is less than the curing speed threshold, adjust the feed speed of the cutting tool of the processing channel corresponding to the second processing mode.

[0074] In practical applications, adjusting the feed speed of the cutting tool in the processing channel corresponding to the second processing mode refers to changing the speed at which the cutting tool moves during the cutting process based on the determination of the adhesive layer curing speed. When the adhesive layer curing speed is lower than the curing speed threshold, the feed speed of the cutting tool will be reduced. The purpose of reducing the feed speed is to allow more curing time for the not-yet-fully-cured adhesive layer and to reduce the adhesion force of the adhesive layer to the tool during the cutting process, thereby avoiding a decrease in cutting quality. The feed speed of the cutting tool can be achieved by controlling the speed of the servo motor or stepper motor, and the specific adjustment amount can be determined according to the actual situation and the preset control strategy.

[0075] The solution proposed in this application first precisely determines the adhesive layer curing speed based on the operating information of the book processing channel when the equipment switches from book processing mode to test paper processing mode. Since the adhesive layer curing speed is a key factor affecting subsequent cutting quality, when it falls below a preset curing speed threshold, it indicates that the adhesive layer is not fully cured. If cutting is performed at the normal speed at this point, it is highly likely that the adhesive layer will stick to the cutting tool, resulting in uneven cut edges and even tool wear. Therefore, by adjusting the feed speed of the cutting tool in the test paper processing channel in a timely manner to a lower level, the curing time of the adhesive layer before cutting can be effectively extended, and the friction and adhesion between the cutting tool and the uncured adhesive layer during cutting can be reduced, thereby avoiding cutting quality problems caused by insufficient adhesive layer curing.

[0076] In some preferred embodiments, a specific example is given below. Assume a book-and-paper machine is processing books, with its book processing channel performing a perfect binding process. After processing a batch of books, the machine needs to switch to a test paper processing mode to cut the same batch of paper. Before switching modes, the system continuously acquires operating information from the book processing channel, such as ambient temperature, humidity, glue type, and glue application amount, and calculates or predicts the glue curing speed in real time based on this information. Specifically, if the system detects that the current ambient temperature is low, or the glue type is curing slowly, resulting in a calculated glue curing speed of 0.5 mm / s, while the preset curing speed threshold is 0.8 mm / s, meaning the glue curing speed is less than the threshold, the system will determine that the glue layer is not fully cured. If cutting is immediately performed at the normal cutting speed, it may result in uneven cut edges or paper sticking together. Therefore, the control system immediately sends a command to the cutting mechanism in the test paper processing channel to adjust the original feed speed of the cutting blade (e.g., 100 mm / s) to 80 mm / s according to a preset ratio (e.g., a 20% reduction). By reducing the feed speed of the cutting blade, additional curing time is provided for the adhesive layer, and the impact and adhesion during cutting are reduced, thereby ensuring the flatness of the cut edges and the processing quality of the test paper.

[0077] In some embodiments of this application, when the curing speed of the adhesive layer is less than the curing speed threshold, it is necessary to adjust the feed speed of the cutting tool in the processing channel corresponding to the second processing mode. Specifically, adjusting the feed speed of the cutting tool in the processing channel corresponding to the second processing mode may include the following steps:

[0078] S201. Determine the initial feed speed of the cutting tool.

[0079] Specifically, the initial feed rate satisfies the following relationship:

[0080] V2 = V1 - C1 * H1 + C2 * R1;

[0081] Where V2 is the original feed speed, V1 is the default feed speed, C1 and C2 are preset adjustment coefficients, H1 is the paper thickness, and R1 is the paper toughness.

[0082] This application's solution introduces paper thickness H1 and paper toughness R1 as parameters affecting the initial feed speed V2 of the cutting tool, and combines them with preset adjustment coefficients C1 and C2, allowing the cutting tool's feed speed to more accurately adapt to the characteristics of different materials. When the paper thickness H1 increases, to avoid tearing or unevenness during the cutting process, the feed speed usually needs to be reduced; therefore, the C1*H1 term in the formula is expressed in subtraction form. When the paper toughness R1 increases, the paper is less prone to tearing, and the cutting tool can cut at a faster speed; therefore, the C2*R1 term in the formula is expressed in addition form. Thus, this formula can intelligently and parametrically adjust the initial feed speed of the cutting tool according to the actual physical properties of the material, thereby optimizing the cutting effect.

[0083] S202. Reduce the original feed speed of the cutting tool according to the preset ratio.

[0084] This refers to determining the initial feed rate and then multiplying or subtracting it based on a pre-set scaling factor to obtain a new feed rate lower than the initial one. This pre-set scaling factor can be set based on actual production experience, material characteristics, and the specific conditions of the adhesive layer curing speed to ensure that the cutting process can proceed smoothly even when the adhesive layer is not fully cured, avoiding damage to the material or affecting the cutting quality.

[0085] The solution proposed in this application first determines the initial feed speed of the cutting tool, providing a benchmark for subsequent adjustments. When the adhesive curing speed is detected to be lower than the curing speed threshold, it indicates that the adhesive layer may not be fully cured, and the overall strength and stability of the material are relatively low at this time. If cutting is still performed at the initial feed speed, it may lead to problems such as uneven cut edges, paper tearing, and adhesive layer peeling. Therefore, by reducing the feed speed of the cutting tool according to a preset ratio, the contact speed and force between the tool and the material can be slowed down, giving the adhesive layer and paper more time to adapt, thereby effectively avoiding cutting defects caused by insufficient adhesive layer curing. This proportional adjustment method based on the initial speed makes the reduction of the feed speed controllable and adaptable, allowing for fine-tuning according to actual conditions.

[0086] In some embodiments of this application, when the equipment switches from the first processing mode to the second processing mode and the material batch is the same, the initial processing parameters of the second processing mode are adjusted according to the operating information of the first processing mode. However, in practical applications, when the first processing mode is a test paper processing mode and the second processing mode is a book processing mode, if the parameters are adjusted only based on general operating information, the specific physical properties of the material (such as paper), such as paper toughness, may not be fully considered. In particular, when the paper toughness is low, if the sealing mechanism of the book processing channel still uses the default or unadjusted pressing force, it may result in inadequate adhesive layer pressing and weak bonding, thereby affecting the binding quality of the book.

[0087] In this regard, this application further proposes that the first processing mode is the test paper processing mode, and the second processing mode is the book processing mode. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode, including:

[0088] S301. Determine paper toughness based on operational information.

[0089] Specifically, when the equipment switches from test paper processing mode to book processing mode, the system will measure the paper's toughness directly or indirectly based on operational information obtained from the test paper processing channel, such as data on the stress and deformation of the paper during cutting, stacking, or transportation, or through specialized sensors (such as tensile sensors and vibration sensors). Paper toughness, which can be understood as the paper's ability to resist breakage or deformation, is one of the key factors affecting bookbinding quality.

[0090] S302. When the paper toughness is less than the toughness threshold, adjust the pressing force of the sealing mechanism of the processing channel corresponding to the second processing mode.

[0091] The toughness threshold is a critical value determined based on empirical data or experimental results, used to determine whether the paper's toughness is sufficient to support routine sealing and pressing. When the detected paper toughness is less than this threshold, it indicates that the paper strength of the current material may be insufficient, requiring special adjustments to subsequent book processing parameters.

[0092] The gluing mechanism typically includes pressure rollers or plates, and the pressure applied directly affects the tightness of the bond between the adhesive layer and the spine. By increasing the pressure, it can be ensured that even with paper of low toughness, the adhesive layer can fully penetrate and bond tightly to the spine, thereby improving the binding's strength.

[0093] The solution proposed in this application determines the paper toughness based on the operating information of the first processing mode when the equipment switches from test paper processing mode to book processing mode, provided that the material batches are the same. Then, based on a comparison between the paper toughness and a toughness threshold, the pressing force of the sealing mechanism in the second processing mode is adjusted accordingly. This mechanism allows the system to identify potential binding quality problems caused by insufficient paper toughness and intervene in advance. Specifically, when the paper toughness is low, increasing the pressing force of the sealing mechanism can compensate for the impact of insufficient paper strength on the adhesive layer's bonding force, ensuring that the adhesive layer can penetrate more fully into the paper fibers and form a stronger physical bond. This effectively avoids quality defects such as page detachment and loose pages caused by poor paper toughness.

[0094] In some preferred embodiments, suppose a book-rolling machine is processing test papers and then needs to switch to book processing mode, using the same batch of paper in both modes. During the switching process, the information acquisition module continuously acquires operational information from the test paper processing channel, such as paper tension data on the conveyor belt and resistance data during cutting. Based on this operational information, the parameter adjustment module determines the current paper toughness using a built-in algorithm model or by consulting a preset paper database. For example, if the measured paper toughness is a low value, and this value is less than the system's preset toughness threshold (e.g., below a certain tensile strength standard), the system determines that the current paper toughness is insufficient. At this time, the parameter adjustment module immediately sends a command to the gluing mechanism in the book processing channel to increase the gluing force from the default value (e.g., 100N) to a higher value (e.g., 120N). In this way, even if the paper toughness is poor, the gluing mechanism can apply sufficient pressure to ensure a full bond between the glue layer and the spine, thereby ensuring that the books produced after switching to book processing mode have good binding strength and effectively avoiding page detachment caused by paper toughness issues.

[0095] In some embodiments described above, this application proposes a method for adjusting processing parameters for the processing channel corresponding to the second processing mode based on the operating and material information of different processing channels. However, in actual book processing modes, the generality of this method may lead to insufficient precision and accuracy in adjusting book processing parameters, especially when key parameters such as adhesive layer thickness and pressing force are involved. Without a specific method for determining these parameters, the binding quality and production efficiency of the books may be affected. Therefore, this application further proposes a specific method for determining the processing parameter adjustment scheme when the second processing mode is a book processing mode, aiming to improve the quality and stability of book processing by refining the parameter determination process.

[0096] When the second processing mode is the book processing mode, the above-mentioned adjustment scheme for the processing parameters of the processing channel corresponding to the second processing mode is determined based on the operation information and material information of different processing channels, including:

[0097] S401. Determine the adhesive layer thickness and the pressure of the pressing roller on the book based on the operating information and material information of different processing channels.

[0098] Specifically, operational information can include the current operating status of the equipment and sensor data (such as temperature, humidity, speed, etc.), while material information can include paper type, paper thickness, glue type, glue viscosity, etc. Through comprehensive analysis of this information, the required glue layer thickness and the pressure of the pressing rollers on the book can be accurately determined for the current book processing. Glue layer thickness refers to the actual thickness of the glue layer formed on the spine during bookbinding, which directly affects the book's durability and aesthetics. The pressure of the pressing rollers on the book refers to the force applied to the book by the pressing mechanism, used to ensure the glue layer is fully bonded to the pages and to expel excess air; its magnitude is crucial to the binding quality.

[0099] S402. Determine the flow rate adjustment of the glue pump based on the thickness of the adhesive layer.

[0100] The flow rate adjustment of the glue pump refers to the adjustment range of the glue output by the glue pump to ensure that the glue layer thickness reaches the preset standard.

[0101] The flow rate regulation of the glue pump satisfies the following relationship:

[0102] ΔF = K_p3*(H3-H2) + K_i3*(H3-H2)+ K_d3*(H3-H2);

[0103] Where ΔF is the flow rate regulation of the glue pump, H3 is the target glue layer thickness, H2 is the glue layer thickness, and K_p3, K_d3, and K_i3 are the parameters of the PID controller. Therefore, (H3-H2) represents the deviation between the target glue layer thickness and the actual glue layer thickness, i.e., the error signal of the control system. K_p3 is the proportional coefficient, used to provide regulation proportional to the current error. K_i3 is the integral coefficient, which is usually used in PID control to eliminate steady-state error and ensure that the system remains stable at the target value in the long term. K_d3 is the derivative coefficient, which is usually used in PID control to predict the trend of error change, so as to improve the system response speed and suppress overshoot.

[0104] In some preferred embodiments, it is assumed that the target adhesive layer thickness H3 of the book processing channel is set to 0.5 mm. During processing, the actual adhesive layer thickness H2 is monitored in real time by an online sensor and found to be 0.52 mm, with a positive deviation of 0.02 mm. At this time, the PID controller calculates the flow rate adjustment ΔF of the glue pump based on preset parameters K_p3, K_i3, and K_d3, combined with the current error (H3-H2) = -0.02 mm, and the historical accumulation and trend of the error. For example, if the calculated result is ΔF = -0.05 L / min, the system will instruct the glue pump to reduce the flow rate by 0.05 L / min. After a period of adjustment, when the actual adhesive layer thickness H2 gradually approaches and stabilizes at 0.5 mm, the error decreases, and ΔF also approaches zero, thereby achieving precise control of the adhesive layer thickness.

[0105] By introducing parameters from a PID controller to determine the flow rate adjustment of the glue pump, precise control of the glue layer thickness is achieved. Specifically, when there is a deviation between the actual glue layer thickness H2 and the target glue layer thickness H3, the system calculates the flow rate adjustment ΔF of the glue pump based on this deviation, combined with the proportional coefficient K_p3, integral coefficient K_i3, and derivative coefficient K_d3. The proportional term responds quickly to the current error; the integral term aims to gradually eliminate steady-state error by compensating for the cumulative effect of the error; and the derivative term aims to make predictive adjustments based on the rate of change of the error to improve the dynamic response and stability of the system. Thus, the flow rate of the glue pump can be precisely adjusted to compensate for fluctuations in the glue layer thickness, ensuring the bonding quality of the book processing.

[0106] S403. Based on the adhesive layer thickness, the pressure of the pressing roller on the book, the flow rate adjustment of the adhesive pump, and the pressing force, determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode.

[0107] Based on the pressure exerted by the pressing rollers on the book, the displacement of the servo motor can be adjusted using a PID (Proportional-Integral-Derivative) algorithm. The PID algorithm is a classic closed-loop control algorithm that calculates the error between the setpoint and the actual value and adjusts the proportional, integral, and derivative parameters accordingly to make the system output as close as possible to the setpoint. Here, the servo motor displacement adjustment aims to precisely control the position of the pressing rollers, thereby achieving precise control of the pressing force. The pressing force refers to the actual force exerted by the pressing rollers on the book and is one of the key parameters affecting the quality of bookbinding.

[0108] This application's solution addresses the potential for inefficient parameter adjustments in book processing by refining the general step of "determining the processing parameter adjustment scheme" into a series of interconnected and quantifiable sub-steps. Specifically, firstly, by acquiring and analyzing operational and material information from different processing channels, the actual needs and environmental conditions of the current book processing can be accurately identified, thereby determining the critical adhesive layer thickness and the pressure of the pressing rollers on the book. These parameters are direct determinants of bookbinding quality. Secondly, regarding adhesive layer thickness, precise control of the adhesive supply is achieved by calculating the flow rate adjustment of the adhesive pump, ensuring the adhesive layer thickness meets requirements. Simultaneously, regarding the pressure of the pressing rollers on the book, a PID algorithm is introduced to adjust the displacement of the servo motor, enabling precise control of the pressing force and ensuring uniform force and full bonding of the book during the pressing process. Thus, through the refined determination and coordinated adjustment of these core parameters, this application's solution forms a comprehensive and precise processing parameter adjustment scheme, effectively guiding the operation of the actuators in the book processing channels.

[0109] In some preferred embodiments, assuming the book-binding machine is currently in book processing mode and needs to bind a batch of books of a specific size, the information acquisition module first acquires the operating information of the current book processing channel (e.g., ambient temperature 25°C, equipment operating speed 100 books / minute) and material information (e.g., paper type is coated paper, thickness 0.1mm, glue type is hot melt glue, viscosity is moderate). Based on this information, the solution determination module calculates that the target glue layer thickness required for the current batch of books is 0.5mm, and the ideal pressure of the pressing roller on the books is 50N.

[0110] Next, based on the determined target adhesive layer thickness of 0.5mm and combined with the actual adhesive layer thickness monitored in real time (e.g., initially 0.6mm), the solution determination module calculates the flow rate adjustment of the adhesive pump. For example, it may require reducing the adhesive pump flow rate by 10% to achieve the target thickness. Simultaneously, for the ideal pressure of 50N from the pressing roller on the book, the solution determination module activates a PID algorithm. Assuming the current actual pressure of the pressing roller is 45N, the PID algorithm calculates the required increase in displacement of the servo motor based on the error (50N-45N=5N), so that the pressure of the pressing roller is gradually adjusted to 50N.

[0111] Finally, parameters such as adhesive layer thickness (0.5mm), pressure of the pressing roller on the book (50N), glue pump flow rate adjustment (reduced by 10%), and adjusted pressing force are integrated to form a complete processing parameter adjustment scheme. This scheme is then sent to the execution coordination module, which adjusts the actuators in the book processing channel, such as adjusting the glue pump speed and servo motor displacement, thereby achieving precise control of the bookbinding process and ensuring that the binding quality of each book meets high standards.

[0112] In some embodiments described above, this application proposes a parameter adjustment scheme for the processing channel corresponding to the second processing mode, based on the operation and material information of different processing channels. However, in actual test paper processing, simply making general parameter adjustments based on operation and material information may not effectively address specific quality issues such as uneven cutting edges or uneven stacking of test papers, thereby affecting the quality of the final product and the efficiency of subsequent processing. Without refined control over the specific quality requirements of test paper processing, the product defect rate may increase, leading to higher production costs. Therefore, this application further proposes a more refined and adaptive parameter adjustment scheme when the second processing mode is test paper processing mode. This scheme aims to ensure the quality of test paper processing by real-time monitoring of key quality indicators and feedback adjustments.

[0113] When the second processing mode is the test paper processing mode, based on the operation information and material information of different processing channels, the processing parameter adjustment scheme for the corresponding processing channel of the second processing mode is determined, including:

[0114] S501. Determine the flatness of the cutting edge and the stacking height of the test papers based on the operation information and material information of different processing channels.

[0115] The flatness of the cut edges refers to the straightness and smoothness of the edges of the test papers after cutting, and is an important indicator for measuring cutting quality. The stacking height of the test papers refers to the vertical height formed by the processed test papers in the stacking area, which is related to the convenience and accuracy of subsequent packaging and handling. These quality data can be obtained through visual inspection systems, laser rangefinders, or other suitable inspection equipment.

[0116] S502. When the flatness of the cut edge exceeds the allowable range, the stroke of the stacking pusher is adjusted by the PID algorithm.

[0117] The stroke of the stacking pusher refers to the distance or position of the mechanism used to push the cut test papers to the stacking area. Using a PID algorithm, the required adjustment of the stacking pusher can be precisely calculated based on the magnitude of the flatness deviation, the cumulative deviation, and the rate of change of the deviation. This optimizes the stacking posture of the test papers, indirectly affecting the stress on the cut paper during the stacking process, and thus improving the flatness of the cut edges.

[0118] S503. Based on the flatness of the cut edge, the stacking height of the test papers, and the stroke of the adjusted stacking pusher, determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode.

[0119] This application's solution addresses the limitations of basic solutions in test paper processing modes by introducing real-time monitoring of the flatness of the cutting edges and the stacking height of the test papers, combined with a PID algorithm to dynamically adjust the stroke of the stacking pusher. Specifically, when the test paper processing channel is running, the system continuously acquires and analyzes the flatness data of the cutting edges. If the flatness deviates from the allowable range, it indicates a potential problem with the cutting mechanism or the paper's condition before stacking. At this point, precise adjustment of the stacking pusher's stroke using the PID algorithm can alter the force distribution and position of the test papers during stacking, thereby correcting edge defects to some extent or providing a more stable foundation for subsequent cutting. Simultaneously, monitoring the stacking height ensures the neatness of the product after cutting, providing assurance for subsequent packaging and logistics. This closed-loop feedback control mechanism transforms the adjustment of processing parameters from simple presets or rough empirical judgments into adaptive optimization based on actual quality data, significantly improving the level of refined control in test paper processing.

[0120] In some preferred embodiments, a specific example is given below. Assume the book-and-paper machine is currently in test paper processing mode. During processing, a vision inspection system installed downstream of the cutting area acquires real-time images of the cut edges of each test paper and calculates its flatness index. For example, when the system detects that the flatness index of the cut edges of multiple consecutive test papers begins to decline and exceeds a preset allowable range (e.g., straightness deviation exceeds 0.5 mm), this indicates that the cutting blade may have slight wear, or that the paper's positioning before entering the cutting area has deviated, resulting in a decrease in cutting quality.

[0121] At this point, the system immediately activates the PID algorithm. The PID controller calculates a precise adjustment based on the current flatness deviation (P term), the cumulative historical deviation (I term), and the deviation trend (D term), to change the stroke of the stacking pusher. For example, if the flatness deviation continues to increase, the PID algorithm might calculate that the stacking pusher's stroke needs to be slightly adjusted backward by 0.2 mm to change the stress point of the test paper during stacking, thereby indirectly affecting the posture of the cut paper during the stacking process and ultimately improving the flatness of the cut edges.

[0122] After the stacking pusher's stroke is adjusted, the system continuously monitors the flatness of the cut edges. If the flatness returns to within the allowable range, the current stacking pusher stroke is maintained; if deviations still exist, the PID algorithm continues to fine-tune until the optimal state is reached. Simultaneously, the system also monitors the test paper stacking height to ensure neat and stable stacking. Through this real-time feedback and adaptive adjustment, even with minor changes in material properties or equipment status, the system ensures the cutting quality and stacking regularity of the test paper products, thereby effectively improving the overall processing quality.

[0123] In some of the embodiments described above in this application, it is proposed to adjust the initial processing parameters when switching equipment modes and to determine the processing parameter adjustment scheme based on operating information and material information. However, in actual production, fluctuations and declines in processing quality may not occur independently in a single channel, but may have cross-channel correlations. Furthermore, traditional control methods may find it difficult to effectively identify and intervene in such cross-process quality decline trends in a timely manner, thereby affecting overall production efficiency and product quality.

[0124] To address this, this application further proposes a multi-channel intelligent collaborative control method for a dual-purpose book and roll machine. This method, by introducing the acquisition of process quality data, correlation analysis, trend determination, and the generation and deployment of intervention commands, achieves intelligent identification and proactive intervention of cross-process quality decline trends. The aforementioned method also includes:

[0125] S601. Obtain process quality data for the book processing channel and the test paper processing channel.

[0126] Specifically, obtaining process quality data for the book processing and exam paper processing channels refers to collecting various indicators reflecting the product quality status in real time or periodically through different sensors, visual inspection systems, or manual sampling during the respective production stages of these channels. For example, for the book processing channel, process quality data may include adhesive thickness, spine flatness, adhesive strength, cutting dimensional accuracy, and cover-to-inner-page alignment; for the exam paper processing channel, process quality data may include cutting edge flatness, stacking height consistency, printing clarity, and paper size deviation. This data serves as the basis for subsequent analysis.

[0127] S602. When a correlation is found between the process quality data of the book processing channel and the process quality data of the test paper processing channel, and both process quality data of the book processing channel and the test paper processing channel show a continuous downward trend, it is determined that there is a cross-process quality decline trend.

[0128] Correlation can be understood as assessing whether there is a certain degree of association between two or more datasets using statistical methods (such as correlation coefficient analysis, covariance analysis, etc.). In this case, it refers to a non-random synchronous or asynchronous association between the quality data changes in the book processing channel and the quality data changes in the test paper processing channel. A continuous downward trend can be understood as the process quality data continuously deteriorating over a period of time. For example, the quality indicators of multiple consecutive sampling points are lower than the preset qualified threshold, or trend analysis (such as moving average, regression analysis) reveals that the quality indicators show a significant negative slope. This judgment is based on the simultaneous satisfaction of the above two conditions, that is, not only is the quality of a single channel declining, but this decline is also correlated between different channels. This suggests that there may be a common cause affecting multiple processing channels, rather than an isolated channel problem.

[0129] S603. Generate intervention instructions based on the quality decline trend across processes.

[0130] This step refers to the system automatically or semi-automatically generating a series of operational suggestions or control commands in response to identified cross-process quality degradation trends. These instructions are designed to correct or mitigate the quality degradation problem. For example, intervention instructions may include adjusting shared raw material parameters (such as glue viscosity, paper tension), adjusting environmental parameters (such as workshop temperature and humidity), inspecting or maintaining shared equipment components, or adjusting the processing speed of two channels or the parameters of specific actuators.

[0131] S604. Deploy intervention instructions and continuously monitor the processing quality of the book processing channel and the test paper processing channel, and adjust the processing parameters based on the monitoring results.

[0132] Deploying intervention commands refers to sending the generated intervention commands to the corresponding control system or operators for execution. Continuous monitoring of the processing quality of the book and exam paper processing channels means that after the intervention commands are deployed, the system continuously collects and analyzes the processing quality data of these channels to evaluate the effectiveness of the intervention measures. Feedback adjustment of processing parameters based on monitoring results means that if the quality decline trend is not effectively curbed or new problems arise, the system will further fine-tune the processing parameters or generate new intervention commands, forming a closed-loop quality control mechanism.

[0133] This application's solution effectively compensates for the shortcomings of the basic solution in identifying and proactively intervening in cross-process quality anomalies by introducing the acquisition and analysis of process quality data from the book processing channel and the exam paper processing channel. The basic solution primarily focuses on adjusting initial processing parameters based on operational information during mode switching and determining processing parameter adjustment schemes based on real-time operation and material information. However, it lacks a direct identification and response mechanism for quality decline trends that may occur during processing and have cross-channel correlations. By acquiring and analyzing process quality data from both processing channels, this application can establish a comprehensive perception of product quality. When the system identifies a correlation between the quality data of the book processing channel and the exam paper processing channel, and both show a continuous downward trend, this indicates a possible common problem affecting both channels, such as shared raw material batch quality issues, changes in environmental conditions, or performance degradation of certain shared equipment components. This cross-process correlation analysis allows the system to diagnose problems from a more macroscopic perspective, rather than just focusing on local anomalies in a single channel. Once a cross-process quality decline trend is determined, the system can generate targeted intervention instructions. These instructions may involve adjustments to shared resources or influencing factors, thereby addressing or mitigating problems at their root. For example, if it is found that poor book bonding and uneven test paper edges are caused by a decline in the performance of a certain batch of glue (because the glue may affect the paper's toughness), the intervention instruction can directly target the adjustment or replacement of the glue parameters. Subsequently, by continuously monitoring processing quality and making adjustments based on the monitoring results, the solution in this application forms a closed-loop intelligent control system, ensuring the effectiveness of intervention measures and enabling refined optimization of processing parameters, thereby achieving a higher level of quality assurance and control over the overall production process.

[0134] like Figure 3 As shown in the figure, this invention also provides a multi-channel intelligent collaborative control system for a book-and-scroll dual-purpose machine. The system includes:

[0135] The information acquisition module is used to acquire operational and material information for different processing channels, including book processing channels and exam paper processing channels.

[0136] The parameter adjustment module is used to adjust the initial processing parameters of the processing channel corresponding to the second processing mode based on the operating information of the processing channel corresponding to the first processing mode when the equipment switches from the first processing mode to the second processing mode and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode.

[0137] The scheme determination module is used to determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode based on the operation information and material information of different processing channels;

[0138] The execution coordination module is used to adjust the execution mechanism of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

[0139] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be executed by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be an internal storage unit of the task execution device (including a data sending end and / or a data receiving end) of any of the foregoing embodiments, such as the hard disk or memory of the task execution device. The computer-readable storage medium can also be an external storage device of the terminal device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device. Further, the computer-readable storage medium can include both the internal storage unit of the task execution device and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by the task execution device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0140] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0141] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0142] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.

Claims

1. A multi-channel intelligent collaborative control method for a dual-purpose book and scroll machine, characterized in that, Includes the following steps: Obtain operational and material information for different processing channels; the different processing channels include a book processing channel and an exam paper processing channel; When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operation information of the processing channel corresponding to the first processing mode. Based on the operation information and material information of different processing channels, determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode; Adjust the actuator of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

2. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 1, characterized in that, The first processing mode is a book processing mode, and the second processing mode is an exam paper processing mode. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode, including: Based on the aforementioned operational information, the curing speed of the adhesive layer is determined; If the curing speed of the adhesive layer is less than the curing speed threshold, adjust the feed speed of the cutting tool in the processing channel corresponding to the second processing mode.

3. The multi-channel intelligent collaborative control method for a dual-purpose book and scroll machine according to claim 2, characterized in that, The adjustment of the feed speed of the cutting tool in the processing channel corresponding to the second processing mode includes: Determine the initial feed rate of the cutting tool; Reduce the original feed speed of the cutting tool according to the preset ratio.

4. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 3, characterized in that, The original feed rate satisfies the following relationship: V2 = V1 - C1 * H1 + C2 * R1; Wherein, V2 is the original feed speed, V1 is the default feed speed, C1 and C2 are preset adjustment coefficients, H1 is the paper thickness, and R1 is the paper toughness.

5. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 1, characterized in that, The first processing mode is the test paper processing mode, and the second processing mode is the book processing mode. When the equipment switches from the first processing mode to the second processing mode, and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode, the initial processing parameters of the processing channel corresponding to the second processing mode are adjusted according to the operating information of the processing channel corresponding to the first processing mode, including: Based on the aforementioned operational information, the paper toughness is determined; If the paper toughness is less than the toughness threshold, adjust the pressing force of the sealing mechanism of the processing channel corresponding to the second processing mode.

6. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 1, characterized in that, When the second processing mode is the book processing mode, the step of determining the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode based on the operation information and material information of different processing channels includes: Based on the operating and material information of different processing channels, determine the adhesive layer thickness and the pressure of the pressing rollers on the book; Determine the flow rate adjustment of the glue pump based on the thickness of the glue layer; The pressure of the pressing roller on the book is adjusted by the displacement of the servo motor according to the PID algorithm to control the pressing force; Based on the adhesive layer thickness, the pressure of the pressing roller on the book, the flow rate adjustment of the adhesive pump, and the pressing force, the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode is determined.

7. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 6, characterized in that, The flow rate regulation of the adhesive pump satisfies the following relationship: ΔF = K_p3*(H3-H2) + K_i3*(H3-H2)+ K_d3*(H3-H2); Where ΔF is the flow rate adjustment of the glue pump, H3 is the target glue layer thickness, H2 is the glue layer thickness, and K_p3, K_d3, and Ki3 are the parameters of the PID controller.

8. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 1, characterized in that, When the second processing mode is the test paper processing mode, the step of determining the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode based on the operation information and material information of different processing channels includes: Based on the operation and material information of different processing channels, determine the flatness of the cutting edge and the stacking height of the test papers; If the flatness of the cut edge exceeds the allowable range, the stroke of the stacking pusher is adjusted using a PID algorithm; Based on the flatness of the cut edge, the stacking height of the test papers, and the stroke of the adjusted stacking pusher, the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode is determined.

9. The multi-channel intelligent collaborative control method for a book-and-scroll dual-purpose machine according to claim 1, characterized in that, The method further includes: Obtain process quality data for both book processing and exam paper processing channels; When a correlation is found between the process quality data of the book processing channel and the process quality data of the test paper processing channel, and both process quality data of the book processing channel and the test paper processing channel show a continuous downward trend, it is determined that there is a cross-process quality decline trend. Based on the quality decline trend across processes, an intervention instruction is generated; The intervention instructions are deployed, and the processing quality of the book processing channel and the test paper processing channel is continuously monitored. Based on the monitoring results, the processing parameters are adjusted accordingly.

10. A multi-channel intelligent collaborative control system for a dual-purpose book and scroll machine, characterized in that: The system includes: The information acquisition module is used to acquire the operation information and material information of different processing channels; the different processing channels include the book processing channel and the test paper processing channel. The parameter adjustment module is used to adjust the initial processing parameters of the processing channel corresponding to the second processing mode according to the operation information of the processing channel corresponding to the first processing mode when the equipment switches from the first processing mode to the second processing mode and the material batch of the processing channel corresponding to the second processing mode is the same as the material batch of the processing channel corresponding to the first processing mode. The scheme determination module is used to determine the processing parameter adjustment scheme for the processing channel corresponding to the second processing mode based on the operation information and material information of different processing channels; The execution coordination module is used to adjust the execution mechanism of the processing channel corresponding to the second processing mode according to the processing parameter adjustment scheme of the processing channel corresponding to the second processing mode.

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