A virtual monitoring-based gypsum board production assembly synchronous regulation method

Abstract

This invention discloses a method for synchronous control of gypsum board production components based on virtual monitoring, comprising the following steps: establishing a digital twin platform for the gypsum board production line, constructing a mainline synchronization model of the gypsum board production line into a mainline digital twin model, placing the mainline digital twin model on the digital twin platform for production simulation; controlling the mainline synchronization model and the mainline digital twin model to operate collaboratively, and mapping the adjustment coefficients in the mainline digital twin model that match the attributes of the mainline components of the production line to the mainline synchronization model. This invention achieves synchronous control of gypsum board production line production that adapts to changes in the attributes of the mainline components, realizes virtual monitoring of the production line, avoids lag in the synchronization speed adjustment of the mainline components and monitoring hardware, reduces increased production input, and ensures synchronous production effects.

Description

Technical Field

[0001] This invention relates to the field of gypsum board production technology, and specifically to a method for synchronous control of gypsum board production components based on virtual monitoring. Background Technology

[0002] The main system of a gypsum board production line mainly consists of two parts: forming belts and open roller conveyors. In actual production, in order to avoid phenomena such as breakage, board stacking, and substandard quality, all equipment in the main system needs to operate synchronously, including the speed synchronization between belts, between belts and open roller conveyors, and between open roller conveyors.

[0003] The matching of the main line speed is mainly achieved through real-time feedback from the PLC, servo control system, and encoder. When the host computer sets the production specifications and main line speed at the start of production, the PLC will distribute the information it reads to the unloading system in real time. After receiving the command, the main line system transmits it to the servo control system in real time, and the servo control motor runs to the set speed. At the same time, the encoder can read the running speed of the molding system equipment and feed it back to the controller. Because the servo controller has a fast response speed and can reduce the rotational inertia of the motor, the production setting requirements can be quickly achieved.

[0004] Existing methods for synchronizing the production and transportation of gypsum board involve establishing a virtual servo control axis for each motor via a PLC. During production, the production speed set by the host computer is processed by the PLC and input to the virtual servo control axis, which is then transmitted to each servo controller to achieve speed synchronization among the various production line components. However, as the properties of these production line components change after use, their tension may also change. Current technology requires multiple monitoring devices within the production line components to monitor and process the speed in real time to detect changes in tension. This results in a large demand for monitoring hardware, increasing production investment. Furthermore, the increased hardware usage leads to a large volume of real-time data processing, which can increase the calculation time for property changes, causing lag in synchronization speed adjustments and affecting the effectiveness of synchronized production. Summary of the Invention

[0005] The purpose of this invention is to provide a method for synchronous control of gypsum board production components based on virtual monitoring, in order to solve the technical problems in the prior art where the demand for monitoring hardware is large, production investment is increased, and the amount of real-time data processing is large due to the use of more hardware, which can easily lead to increased calculation time for attribute changes, resulting in lag in the adjustment of synchronization speed and affecting the effect of synchronous production.

[0006] To solve the above-mentioned technical problems, the present invention specifically provides the following technical solution:

[0007] A method for synchronous control of gypsum board production components based on virtual monitoring, characterized by comprising the following steps:

[0008] Step S1: Set virtual servo axes for the main line synchronization model of the gypsum board production line, and set adjustment coefficients for each physical servo axis in the main line synchronization model based on the virtual servo axes and the expected main line speed of the gypsum board, reflecting the attributes of the main line components of the production line. The main line synchronization model is a control model for the synchronous operation of the main line components of the production line in a master-slave servo control mode composed of multiple physical servo axes.

[0009] Step S2: Establish a digital twin platform for the gypsum board production line, and construct the main line synchronization model of the gypsum board production line into a main line digital twin model. Place the main line digital twin model on the digital twin platform for production simulation. The digital twin platform is used for information interaction between the main line components of the production line in the main line synchronization model and the main line digital twin model.

[0010] Step S3: Control the mainline synchronization model and the mainline digital twin model to operate in coordination, so as to realize the digital twin to virtually monitor the attribute changes of the mainline components of the production line, and map the adjustment coefficients in the mainline digital twin model that match the attributes of the mainline components of the production line to the mainline synchronization model, so as to realize the synchronous control of gypsum board production line production to adapt to the attribute changes of the mainline components of the production line.

[0011] As a preferred embodiment of the present invention, the physical servo axis includes a first physical servo axis, a second physical servo axis, a third physical servo axis, a fourth physical servo axis, and a fifth physical servo axis. The main production line assembly corresponds one-to-one with the physical servo axis. The production line assembly includes a first belt controlled by the first physical servo axis, a second belt controlled by the second physical servo axis, a third belt controlled by the third physical servo axis, a first open roller conveyor controlled by the fourth physical servo axis, and a second open roller conveyor controlled by the fifth physical servo axis.

[0012] In a preferred embodiment of the present invention, the desired main speed of the gypsum board production line includes the desired speed of the main production line components. Specifically, the desired speed of the first belt controlled by the first physical servo axis is obtained by multiplying the desired speed of the virtual servo axis by the adjustment coefficient of the first belt; the desired speed of the second belt controlled by the second physical servo axis is obtained by multiplying the desired speed of the virtual servo axis by the adjustment coefficient of the second belt; the desired speed of the third belt controlled by the third physical servo axis is obtained by multiplying the desired speed of the virtual servo axis by the adjustment coefficient of the third belt; the desired speed of the first open roller conveyor controlled by the fourth physical servo axis is obtained by multiplying the desired speed of the virtual servo axis by the adjustment coefficient of the first open roller conveyor; and the desired speed of the second open roller conveyor controlled by the fifth physical servo axis is obtained by multiplying the desired speed of the virtual servo axis by the adjustment coefficient of the second open roller conveyor.

[0013] As a preferred embodiment of the present invention, the main line component attributes of the production line include the tension attributes of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor.

[0014] As a preferred embodiment of the present invention, the step of constructing a mainline digital twin model of the gypsum board production line synchronization model includes:

[0015] A speed model for a virtual servo axis is established, wherein the speed model for the virtual servo axis is: Vvirtual = Vperiod, where Vvirtual is the desired speed of the virtual servo axis and Vperiod is the desired main line speed of the plasterboard.

[0016] A speed model for the main components of the production line is established, wherein the speed model for the main components of the production line is: VX = Vvirtual * X, X ∈ [A, B, C, D, E], VX is the desired speed of X, and A, B, C, D, E are the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor, respectively.

[0017] As a preferred embodiment of the present invention, the digital twin platform of the gypsum board production line includes a physical device layer, a sensing layer, and a data transmission layer:

[0018] The physical equipment layer includes three-dimensional models of a first belt, a second belt, a third belt, a first open roller conveyor and a second open roller conveyor, a first solid servo axis, a second solid servo axis, a third solid servo axis, a fourth solid servo axis and a fifth solid servo axis.

[0019] The sensing layer is used to sense the tension properties of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor.

[0020] The data communication layer is used to transmit the tension attributes of the perception layer to the mainline synchronization model.

[0021] As a preferred embodiment of the present invention, the control mainline synchronization model and the mainline digital twin model operate in coordination, including:

[0022] The three-dimensional models of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor, first solid servo axis, second solid servo axis, third solid servo axis, fourth solid servo axis and fifth solid servo axis in the mainline digital twin model are controlled to operate synchronously with the mainline synchronization model.

[0023] As a preferred embodiment of the present invention, the step of mapping the adjustment coefficients matching the attributes of the mainline components in the mainline digital twin model to the mainline synchronization model includes:

[0024] The tension properties of the three-dimensional models of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline digital twin model are mapped to the tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model. The tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model are then converted to the adjustment coefficients of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model.

[0025] As a preferred embodiment of the present invention, the tension attribute perception model of the first belt, the second belt, the third belt, the first open roller conveyor and the second open roller conveyor is used in the perception layer to predict the tension attribute of the first belt, the second belt, the third belt, the first open roller conveyor and the second open roller conveyor. The tension attribute perception model is obtained by training a neural network with big data based on sample data representing the tension attribute of the first belt, the second belt, the third belt, the first open roller conveyor and the second open roller conveyor.

[0026] As a preferred embodiment of the present invention, the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor are positively correlated with the desired main line speed of the gypsum board.

[0027] Compared with the prior art, the present invention has the following advantages:

[0028] This invention utilizes digital twin technology to establish a digital twin platform for a gypsum board production line. The mainline synchronization model of the gypsum board production line is constructed into a mainline digital twin model. This mainline digital twin model is placed on the digital twin platform for production simulation. The mainline synchronization model and the mainline digital twin model are controlled to operate collaboratively, enabling virtual monitoring of attribute changes in the mainline components of the production line. Adjustment coefficients matching the attributes of the mainline components in the mainline digital twin model are mapped to the mainline synchronization model. This achieves synchronized production control of the gypsum board production line to adapt to changes in the attributes of the mainline components, enabling virtual monitoring of the production line. This avoids lag in the synchronization speed adjustment of the mainline components and monitoring hardware requirements, reduces increased production input, and ensures synchronized production results. Attached Figure Description

[0029] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0030] Figure 1 A flowchart of a method for synchronous control of gypsum board production components provided in an embodiment of the present invention;

[0031] Figure 2 The block diagram of the mainline synchronization model provided in the embodiment of the present invention. Detailed Implementation

[0032] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0033] like Figure 1 and Figure 2 As shown, this invention provides a method for synchronous control of gypsum board production components based on virtual monitoring, comprising the following steps:

[0034] Step S1: Set virtual servo axes for the main line synchronization model of the gypsum board production line, and set adjustment coefficients for each physical servo axis in the main line synchronization model based on the virtual servo axes and the expected main line speed of the gypsum board, reflecting the attributes of the main line components of the production line. The main line synchronization model is a control model for the synchronous operation of the main line components of the production line in a master-slave servo control mode composed of multiple physical servo axes.

[0035] The physical servo axes include a first physical servo axis, a second physical servo axis, a third physical servo axis, a fourth physical servo axis, and a fifth physical servo axis. The main production line assembly corresponds one-to-one with the physical servo axes. The production line assembly includes a first belt controlled by the first physical servo axis, a second belt controlled by the second physical servo axis, a third belt controlled by the third physical servo axis, a first open roller conveyor controlled by the fourth physical servo axis, and a second open roller conveyor controlled by the fifth physical servo axis.

[0036] The expected main line speed of the gypsum board production line includes the expected speed of the main line components of the production line. Specifically, the expected speed of the first belt controlled by the first physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the first belt; the expected speed of the second belt controlled by the second physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the second belt; the expected speed of the third belt controlled by the third physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the third belt; the expected speed of the first open roller conveyor controlled by the fourth physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the first open roller conveyor; and the expected speed of the second open roller conveyor controlled by the fifth physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the second open roller conveyor.

[0037] The main components of the production line include the tension attributes of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor.

[0038] The adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor are positively correlated with the desired main line speed of the gypsum board.

[0039] Because the tension of each belt is different, the tension on the belt is different. Therefore, in actual production, when the speed given by the servo controller is the same, the actual running speed of the gypsum board on the belt and open roller conveyor is different. Therefore, an adjustment coefficient is added to the main line synchronization model. Each belt and open roller conveyor corresponds to a different adjustment coefficient for its servo control axis. The actual adjustment coefficient can be generated by testing the actual values ​​of the belt running under different main line speeds during trial production. The following is a table representing the relationship between the adjustment coefficient of the physical servo axis and the main line speed and virtual servo axis speed.

[0040] Table 1 Characterization of Solid Servo Axis Adjustment Coefficient

[0041]

[0042] The main line equipment is speed-controlled using a master-slave servo control method. All actual operating speeds are derived by multiplying the virtual servo speed by the corresponding belt tension adjustment coefficient. The output of each actual servo controller is the final speed value, calculated by the virtual servo based on the settings from the host computer during actual production. Through master-slave servo control and real-time feedback from external encoders, the speeds of all equipment on the main line can be synchronized with the actual production speed in real time.

[0043] Step S2: Establish a digital twin platform for the gypsum board production line, and construct the main line synchronization model of the gypsum board production line into a main line digital twin model. Place the main line digital twin model on the digital twin platform for production simulation. The digital twin platform is used for information interaction between the main line components of the production line in the main line synchronization model and the main line digital twin model.

[0044] The digital twin platform for the gypsum board production line includes a physical equipment layer, a sensing layer, and a data transmission layer.

[0045] The physical equipment layer includes three-dimensional models of a first belt, a second belt, a third belt, a first open roller conveyor and a second open roller conveyor, a first solid servo axis, a second solid servo axis, a third solid servo axis, a fourth solid servo axis and a fifth solid servo axis.

[0046] The sensing layer is used to sense the tension properties of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor.

[0047] The data communication layer is used to transmit the tension attributes of the perception layer to the mainline synchronization model.

[0048] The process of constructing a mainline digital twin model of the gypsum board production line synchronization model includes:

[0049] A speed model for a virtual servo axis is established, wherein the speed model for the virtual servo axis is: Vvirtual = Vperiod, where Vvirtual is the desired speed of the virtual servo axis and Vperiod is the desired main line speed of the plasterboard.

[0050] A speed model for the main components of the production line is established, wherein the speed model for the main components of the production line is: VX = Vvirtual * X, X ∈ [A, B, C, D, E], VX is the desired speed of X, and A, B, C, D, E are the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor, respectively.

[0051] The control mainline synchronization model and the mainline digital twin model operate in coordination, including:

[0052] The three-dimensional models of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor, first solid servo axis, second solid servo axis, third solid servo axis, fourth solid servo axis and fifth solid servo axis in the mainline digital twin model are controlled to operate synchronously with the mainline synchronization model.

[0053] Changes in tension can disrupt the original synchronous transmission between production components. Sensors monitoring tension cannot directly obtain the tension level; mathematical calculations are required, leading to poor timeliness and delays in the feedback. This, in turn, causes delays in adjusting the first, second, third, fourth, and fifth physical servo axes, extending the period of asynchronous operation. Therefore, this application uses digital twin technology to establish a master-line digital twin model, enabling virtual monitoring of the production line. Based on this model, the tension of the first, second, and third belts, the first open roller conveyor, and the second open roller conveyor in the master-line digital twin model is obtained in real time. This allows for the determination of adjustment coefficients for these belts, ultimately enabling real-time adjustment of the operating status of the first, second, third, fourth, and fifth physical servo axes to maintain the original synchronous transmission between production components.

[0054] Step S3: Control the mainline synchronization model and the mainline digital twin model to operate in coordination, so as to realize the digital twin to virtually monitor the attribute changes of the mainline components of the production line, and map the adjustment coefficients in the mainline digital twin model that match the attributes of the mainline components of the production line to the mainline synchronization model, so as to realize the synchronous control of gypsum board production line production to adapt to the attribute changes of the mainline components of the production line.

[0055] The step of mapping the adjustment coefficients that match the mainline component attributes in the mainline digital twin model to the mainline synchronization model includes:

[0056] The tension properties of the three-dimensional models of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline digital twin model are mapped to the tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model. The tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model are then converted to the adjustment coefficients of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model.

[0057] The perception layer uses a tension attribute perception model of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor to predict the tension attributes of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor. The tension attribute perception model is obtained by training a neural network with big data based on sample data representing the tension attributes of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor.

[0058] The tension attribute perception model is: WX = BP(YX);

[0059] Wherein, WX is the tension attribute value of X, BP is the neural network, YX is the sample data characterizing the tension attribute of X, X∈[A,B,C,D,E], A,B,C,D,E are the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor, respectively, and YX includes characteristic data such as the usage time of X, the running speed of X, and the weight and specifications of the gypsum board on X.

[0060] This invention utilizes digital twin technology to establish a digital twin platform for a gypsum board production line. The mainline synchronization model of the gypsum board production line is constructed into a mainline digital twin model. This mainline digital twin model is placed on the digital twin platform for production simulation. The mainline synchronization model and the mainline digital twin model are controlled to operate collaboratively, enabling virtual monitoring of attribute changes in the mainline components of the production line. Adjustment coefficients matching the attributes of the mainline components in the mainline digital twin model are mapped to the mainline synchronization model. This achieves synchronized production control of the gypsum board production line to adapt to changes in the attributes of the mainline components, enabling virtual monitoring of the production line. This avoids lag in the synchronization speed adjustment of the mainline components and monitoring hardware requirements, reduces increased production input, and ensures synchronized production results.

[0061] The above embodiments are merely exemplary embodiments of this application and are not intended to limit this application. The scope of protection of this application is defined by the claims. Those skilled in the art can make various modifications or equivalent substitutions to this application within its substance and scope of protection, and such modifications or equivalent substitutions should also be considered to fall within the scope of protection of this application.

Claims

1. A method for synchronous control of gypsum board production components based on virtual monitoring, characterized in that: Includes the following steps: Step S1: Set virtual servo axes for the main line synchronization model of the gypsum board production line, and set adjustment coefficients for each physical servo axis in the main line synchronization model based on the virtual servo axes and the expected main line speed of the gypsum board, reflecting the attributes of the main line components of the production line. The main line synchronization model is a control model for the synchronous operation of the main line components of the production line in a master-slave servo control mode composed of multiple physical servo axes. Step S2: Establish a digital twin platform for the gypsum board production line, and construct the main line synchronization model of the gypsum board production line into a main line digital twin model. Place the main line digital twin model on the digital twin platform for production simulation. The digital twin platform is used for information interaction between the main line components of the production line in the main line synchronization model and the main line digital twin model. Step S3: Control the mainline synchronization model and the mainline digital twin model to operate in coordination, so as to realize the digital twin to virtually monitor the attribute changes of the mainline components of the production line, and map the adjustment coefficients that match the attributes of the mainline components in the mainline digital twin model to the mainline synchronization model, so as to realize the synchronous control of gypsum board production line production to adapt to the attribute changes of the mainline components of the production line. The digital twin platform for a gypsum board production line includes a physical equipment layer, a sensing layer, and a data transmission layer. The physical equipment layer includes three-dimensional models of the first belt, the second belt, the third belt, the first open roller conveyor and the second open roller conveyor, the first solid servo axis, the second solid servo axis, the third solid servo axis, the fourth solid servo axis and the fifth solid servo axis; The sensing layer is used to sense the tension properties of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor. The data communication layer is used to transmit the tension attributes of the perception layer to the mainline synchronization model; In the perception layer, the tension attributes of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor are predicted using the tension attribute perception model of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor. The tension attribute perception model is obtained by training a neural network with big data based on sample data representing the tension attributes of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor. The tension attribute perception model is: WX=BP(YX); Wherein, WX is the tension attribute value of X, BP is the neural network, YX is the sample data characterizing the tension attribute of X, X∈[A,B,C,D,E], A,B,C,D,E are the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor, respectively, and YX includes: the usage time of X, the running speed of X, and the weight specifications of the gypsum board on X.

2. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 1, characterized in that: The physical servo axes include a first physical servo axis, a second physical servo axis, a third physical servo axis, a fourth physical servo axis, and a fifth physical servo axis. The main production line assembly corresponds one-to-one with the physical servo axes. The main production line assembly includes a first belt controlled by the first physical servo axis, a second belt controlled by the second physical servo axis, a third belt controlled by the third physical servo axis, a first open roller conveyor controlled by the fourth physical servo axis, and a second open roller conveyor controlled by the fifth physical servo axis.

3. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 2, characterized in that: The expected main line speed of the gypsum board production line includes the expected speed of the main line components of the production line. Specifically, the expected speed of the first belt controlled by the first physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the first belt; the expected speed of the second belt controlled by the second physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the second belt; the expected speed of the third belt controlled by the third physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the third belt; the expected speed of the first open roller conveyor controlled by the fourth physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the first open roller conveyor; and the expected speed of the second open roller conveyor controlled by the fifth physical servo axis is obtained by multiplying the expected speed of the virtual servo axis by the adjustment coefficient of the second open roller conveyor.

4. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 3, characterized in that: The main components of the production line include the tension attributes of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor.

5. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 4, characterized in that: The process of constructing a mainline digital twin model of the gypsum board production line synchronization model includes: A speed model for a virtual servo axis is established, wherein the speed model for the virtual servo axis is: Vvirtual = Vperiod, where Vvirtual is the desired speed of the virtual servo axis and Vperiod is the desired main line speed of the plasterboard. A speed model for the main components of the production line is established, wherein the speed model for the main components of the production line is: VX=Vvirtual*X, X∈[A,B,C,D,E], VX is the desired speed of X, and A,B,C,D,E are the adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor, respectively.

6. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 5, characterized in that: The control mainline synchronization model and the mainline digital twin model operate in coordination, including: The three-dimensional models of the first belt, second belt, third belt, first open roller conveyor and second open roller conveyor, first solid servo axis, second solid servo axis, third solid servo axis, fourth solid servo axis and fifth solid servo axis in the mainline digital twin model are controlled to operate synchronously with the mainline synchronization model.

7. A method for synchronous control of gypsum board production components based on virtual monitoring according to claim 6, characterized in that, The step of mapping the adjustment coefficients that match the mainline component attributes in the mainline digital twin model to the mainline synchronization model includes: The tension properties of the three-dimensional models of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline digital twin model are mapped to the tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model. The tension properties of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model are then converted to the adjustment coefficients of the first belt, second belt, third belt, first open roller conveyor, and second open roller conveyor in the mainline synchronization model.

8. The method for synchronous control of gypsum board production components based on virtual monitoring according to claim 7, characterized in that, The adjustment coefficients of the first belt, the second belt, the third belt, the first open roller conveyor, and the second open roller conveyor are positively correlated with the desired main line speed of the gypsum board.

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