A matching control method for a paper-faced gypsum board feeding system and a main line system.

Abstract

This invention discloses a matching control method for a paper-faced gypsum board feeding system and a main production line system, comprising the following steps: Step S1, constructing a linear relationship between each production process parameter in the paper-faced gypsum board feeding system and the main production line speed of the main production line system; Step S2, selecting the optimal adjustment coefficient based on the gypsum board yield in the linear relationship, and constructing an adjustment coefficient determination model characterizing the mapping relationship between the adjustment coefficient and the production environment and gypsum performance; Step S3, combining the adjustment coefficient with the linear relationship to obtain the matching relationship between the feeding system and the main production line system. This invention achieves automatic matching of the paper-faced gypsum board formula and sets the matching relationship according to the production environment and gypsum performance during the paper-faced gypsum board production process, which is closer to scenario-based applications and improves actual production efficiency.

Description

Technical Field

[0001] This invention relates to the field of gypsum board production technology, specifically to a matching control method for a paper-faced gypsum board feeding system and a main production line system. Background Technology

[0002] Brief description of the paper-faced gypsum board production process: In the batching section, materials in the silo are conveyed by horizontal and vertical conveying equipment and then fed to the belt scale by a rigid impeller feeder. Excess material is returned to the silo via return conveyors and elevators. Building gypsum, modified starch, accelerator, and glass fiber (used in the production of water-resistant and fire-resistant paper-faced gypsum boards) are metered separately, mixed in a spiral mixer, and then continuously fed into a vertical mixer. Foaming agent is added to the storage tank. During use, the foaming agent and water are separately pumped to the foaming device, and compressed air is introduced to generate stable foam, which is then fed into the vertical mixer. Edge adhesive is prepared in a tank and then fed into the spray nozzles on both sides of the forming station, spraying the adhesive tape onto both sides of the paper-faced gypsum board. The upper and lower facing papers are transported to the paper rack by an electric hoist. In the forming section, the formed paper is sent to the forming station via a paper storage machine, tensioning device, scoring device, and correction device, while the gypsum slurry flows from the vertical mixer onto the formed paper.

[0003] The gypsum board feeding system mainly includes the addition of materials such as calcined gypsum powder, pulp water, and additives. Based on the gypsum board production process, it controls the required dry weight of each gypsum board. Real-time matching of the gypsum board feeding system with the main production line speed can improve the quality of the gypsum board production.

[0004] In existing technologies, the real-time matching of gypsum board feeding and main line speed usually relies on human experience settings, which are highly subjective and have poor matching effects. Summary of the Invention

[0005] The purpose of this invention is to provide a matching control method for a paper-faced gypsum board feeding system and a main line system, so as to solve the technical problems of existing technologies that rely on human experience settings, are highly subjective, and have poor matching effects.

[0006] In order to solve the above technical problems, the present invention specifically provides the following technical solutions:

[0007] A matching control method for a paper-faced gypsum board feeding system and a main line system includes the following steps:

[0008] Step S1: Construct a linear relationship between each production process parameter and the main line speed of the main line system in the paper-faced gypsum board feeding system.

[0009] Step S2: Select the optimal adjustment coefficient based on the linear relationship of the gypsum board yield, and construct an adjustment coefficient determination model that characterizes the mapping relationship between the adjustment coefficient and the production environment and gypsum performance;

[0010] Step S3: Combine the adjustment coefficient with the linear relationship to obtain the matching relationship between the feeding system and the main line system, so as to realize the automatic matching of the paper-faced gypsum board formula.

[0011] As a preferred embodiment of the present invention, the production relationship includes:

[0012] Dry gypsum board weight per unit = Dry gypsum board weight ÷ Dry gypsum board production area;

[0013] Dry gypsum board weight = Wet board weight - Evaporation amount;

[0014] Dry gypsum board weight = Wet board weight - Dryer evaporation rate;

[0015] Evaporation capacity = Dryer evaporation capacity ÷ Surface area of ​​dry gypsum board production;

[0016] Wet board weight = amount of calcined gypsum added + amount of pulp water added + amount of each additive added;

[0017] Wet board unit weight = Wet board weight ÷ Dry gypsum board production surface area;

[0018] Water-to-solid ratio = Amount of pulp water added ÷ Amount of calcined gypsum added;

[0019] Dry gypsum board production surface area = main line speed * 60 * standard width of gypsum board.

[0020] As a preferred embodiment of the present invention, the construction of the linear relationship includes:

[0021] Using the aforementioned production relationships, the unit weight of dry gypsum board, unit weight of wet gypsum board, surface area of ​​dry gypsum board production, and amount of pulp water added are calculated. The formula for calculating the weight of dry gypsum board is W. 干 =W 湿 -E, where W 干 W is the unit weight of dry gypsum board. 湿 E represents the weight of the wet plate and the amount of evaporation.

[0022] The formula for calculating the weight of the wet board is W. 湿 =(F+W 水 +W 添 )÷S, where W 湿 F is the weight of the wet board, F is the amount of calcined gypsum added, and W is the weight of the wet board. 水 W is the amount of pulp water added. 添 The amount of each additive added;

[0023] The formula for calculating the surface area of ​​the dry gypsum board production is S = 60 * V * h, where S is the surface area of ​​the dry gypsum board production, V is the main linear velocity, and h is the standard width of the gypsum board.

[0024] The formula for calculating the amount of pulp water added is W. 水 =F*G, where W 水 F represents the amount of pulp water added, G represents the amount of calcined gypsum added, and G represents the water-to-powder ratio.

[0025] Construct a gypsum board production process formula for a gypsum board production line, wherein the production process formula is W. 干 =F1*((A-1)*N+1)*(1+0.5%), where W 干 F1 is the weight of the dry gypsum board, A is the amount of calcined gypsum added per square meter, and N is the gypsum grade.

[0026] By combining the gypsum board production process formula, the unit weight of dry gypsum board, the unit weight of wet gypsum board, the surface area of ​​dry gypsum board production, and the amount of pulp water added, a linear relationship between the amount of calcined gypsum input and the main line speed is obtained. The formula for the linear relationship between the amount of calcined gypsum input and the main line speed is F = ((A-1)*N+1)*(1+0.5%)*60*h*1000*V. The formula for the linear relationship between the amount of pulp water added and the main line speed is W. 水 =G*((A-1)*N+1)*(1+0.5%)*60*h*1000*V, where F is the amount of calcined gypsum added, W 水 V represents the amount of water added to the pulp, V is the main linear velocity, h is the standard width of the gypsum board, and G is the water-to-powder ratio.

[0027] As a preferred embodiment of the present invention, the step of selecting the optimal adjustment coefficient based on the linear relationship of the gypsum board yield includes:

[0028] Multiple adjustment coefficients were set, and the amount of calcined gypsum and pulp water added were set using each adjustment coefficient. The gypsum board was trial-produced with the amount of calcined gypsum and pulp water added corresponding to each adjustment coefficient, and the yield rate of gypsum board in the trial production corresponding to each adjustment coefficient was calculated.

[0029] The mapping relationship between the adjustment coefficient and the gypsum board yield rate is fitted, and the optimal adjustment coefficient corresponding to the highest gypsum board yield rate is obtained by using the mapping relationship between the adjustment coefficient and the gypsum board yield rate.

[0030] In a preferred embodiment of the present invention, the yield rate of gypsum board is measured by the sum of the sizing similarity between qualified finished gypsum board products and standard finished gypsum board products. The sizing similarity is the Euclidean distance between the sizing parameters of qualified finished gypsum board products and standard finished gypsum board products. The formula for calculating the sizing similarity is:

[0031]

[0032] In the formula, P represents the specification similarity, and Z... i Let Z represent the specifications of the i-th qualified gypsum board product, and Z represent the specifications of the standard gypsum board product. i -Z|| is Z i The Euclidean distance between Z and m is the total number of qualified gypsum board products, and i is the number of measurement items.

[0033] As a preferred embodiment of the present invention, the construction of the adjustment coefficient determination model includes:

[0034] Obtain the production environment parameters of multiple gypsum board production lines, the performance parameters of the gypsum used in the gypsum board production lines, and the optimal adjustment coefficient of each gypsum board production line.

[0035] The production environment parameters and gypsum performance parameters of the gypsum board production line are used as input terms of the BP neural network, and the optimal adjustment coefficient of gypsum board productivity is used as the output term of the BP neural network. The BP neural network is used to train the network on the input terms and the output terms to obtain the adjustment coefficient determination model.

[0036] The model expression for determining the adjustment coefficient is as follows:

[0037] A = BP(data[X], data[Y]);

[0038] In the formula, A is the adjustment coefficient, data[X] is the production environment parameter, data[Y] is the gypsum performance parameter, and BP is the BP neural network.

[0039] As a preferred embodiment of the present invention, the construction of the matching relationship includes:

[0040] The adjustment coefficient determination model is combined with the linear relationship between the amount of calcined gypsum added and the main line speed, and the linear relationship between the amount of pulp water added and the main line speed to obtain the matching relationship between the amount of calcined gypsum added and the main line speed.

[0041] The matching relationship between the amount of calcined gypsum added and the main line speed is as follows:

[0042] F=((BP(data[X],data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V;

[0043] The matching relationship between pulp water addition and main line speed is as follows:

[0044] W 水=G*((BP(data[X], data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V.

[0045] As a preferred embodiment of the present invention, the specification parameters include at least one parameter component, and each parameter component in the specification parameters is normalized when performing specification similarity calculation.

[0046] As a preferred embodiment of the present invention, the production environment parameters and gypsum performance parameters each contain at least one parameter component, and each parameter component is normalized during the matching relationship calculation.

[0047] As a preferred embodiment of the present invention, the amount of each additive added is linearly related to the amount of calcined gypsum added.

[0048] Compared with the prior art, the present invention has the following advantages:

[0049] This invention constructs a linear relationship between various production process parameters and the main line speed of the main line system in the paper-faced gypsum board feeding system. Based on the gypsum board yield, the optimal adjustment coefficient is selected according to the linear relationship. Furthermore, an adjustment coefficient determination model is constructed to characterize the mapping relationship between the adjustment coefficient and the production environment and gypsum performance. This enables automatic matching of the paper-faced gypsum board formula and sets the matching relationship according to the production environment and gypsum performance during the paper-faced gypsum board production process, making it more closely aligned with scenario-based applications and improving actual production efficiency. Attached Figure Description

[0050] 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.

[0051] Figure 1 A flowchart illustrating the matching control method for the paper-faced gypsum board cutting system and the main line system provided in an embodiment of the present invention. Detailed Implementation

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0053] like Figure 1 As shown, the present invention provides a matching control method for a paper-faced gypsum board feeding system and a main line system, comprising the following steps:

[0054] Step S1: Construct a linear relationship between each production process parameter and the main line speed of the main line system in the paper-faced gypsum board feeding system.

[0055] Production relations include:

[0056] Dry gypsum board weight per unit = Dry gypsum board weight ÷ Dry gypsum board production area;

[0057] Dry gypsum board weight = Wet board weight - Evaporation amount;

[0058] Dry gypsum board weight = Wet board weight - Dryer evaporation rate;

[0059] Evaporation capacity = Dryer evaporation capacity ÷ Surface area of ​​dry gypsum board production;

[0060] Wet board weight = amount of calcined gypsum added + amount of pulp water added + amount of each additive added;

[0061] Wet board unit weight = Wet board weight ÷ Dry gypsum board production surface area;

[0062] Water-to-solid ratio = Amount of pulp water added ÷ Amount of calcined gypsum added;

[0063] Dry gypsum board production surface area = main line speed * 60 * standard width of gypsum board.

[0064] The construction of linear relationships includes:

[0065] Using production relations, the unit weight of dry gypsum board, unit weight of wet gypsum board, surface area of ​​dry gypsum board production, and amount of pulp water added are calculated. The formula for calculating the weight of dry gypsum board is W. 干 =W 湿 -E, where W 干 W is the unit weight of dry gypsum board. 湿 E represents the weight of the wet plate and the amount of evaporation.

[0066] The formula for calculating the weight of a single wet board is W. 湿 =(F+W 水 +W 添 )÷S, where W 湿 F is the weight of the wet board, F is the amount of calcined gypsum added, and W is the weight of the wet board. 水 W is the amount of pulp water added. 添 The amount of each additive added;

[0067] The formula for calculating the surface area of ​​dry gypsum board production is S=60*V*h, where S is the surface area of ​​dry gypsum board production, V is the main linear velocity, and h is the standard width of gypsum board.

[0068] The formula for calculating the amount of pulp water added is W. 水 =F*G, where W 水 F represents the amount of pulp water added, G represents the amount of calcined gypsum added, and G represents the water-to-powder ratio.

[0069] Construct the gypsum board production process formula in the gypsum board production line. The production process formula formula is W. 干 =F1*((A-1)*N+1)*(1+0.5%), where W 干 F1 is the weight of the dry gypsum board, A is the amount of calcined gypsum added per square meter, and N is the gypsum grade.

[0070] Based on the gypsum board production process formula, the unit weight of dry gypsum board, the unit weight of wet gypsum board, the surface area of ​​dry gypsum board production, and the amount of pulp water added, the linear relationship between the amount of calcined gypsum input and the main line speed is obtained. The formula for the linear relationship between the amount of calcined gypsum input and the main line speed is F=((A-1)*N+1)*(1+0.5%)*60*h*1000*V, and the formula for the linear relationship between the amount of pulp water added and the main line speed is W. 水 =G*((A-1)*N+1)*(1+0.5%)*60*h*1000*V, where F is the amount of calcined gypsum added, W 水 V represents the amount of water added to the pulp, V is the main linear velocity, h is the standard width of the gypsum board, and G is the water-to-powder ratio.

[0071] The production process parameters for gypsum board production are defined as variables and units, as shown in Table 1:

[0072] Table 1 defines the variables and units for the production process parameters.

[0073]

[0074]

[0075] The amount of each additive added is linearly correlated with the amount of calcined gypsum used. Empirical values ​​for the amount of each additive were derived during production, and all showed a positive linear correlation with the amount of calcined gypsum used. The amount of additive added can be determined by multiplying the amount of calcined gypsum used by a fixed empirical coefficient. Based on the linear relationship between the amount of calcined gypsum used and the main line velocity, the linear relationship between the amount of each additive added and the main line velocity can be determined by combining the fixed empirical coefficient. For example, if the fixed empirical coefficient for the amount of additive added is K, then KF represents the linear relationship between the amount of additive added and the main line velocity.

[0076] A linear relationship was established between the amount of calcined gypsum, pulp water, and additives added and the main production line speed. This ensures that the amount of calcined gypsum, pulp water, and additives added can be matched with the main production line speed in real time, guaranteeing the synchronicity of production and achieving high-quality gypsum board production.

[0077] Step S2: Select the optimal adjustment coefficient based on the linear relationship of the gypsum board yield, and construct an adjustment coefficient determination model that characterizes the mapping relationship between the adjustment coefficient and the production environment and gypsum performance;

[0078] The optimal adjustment coefficient is selected based on the linear relationship between the finished product yield of gypsum board and the following:

[0079] Multiple adjustment coefficients were set, and the amount of calcined gypsum and pulp water added were set using each adjustment coefficient. The gypsum board was trial-produced with the amount of calcined gypsum and pulp water added corresponding to each adjustment coefficient, and the yield rate of gypsum board in the trial production corresponding to each adjustment coefficient was calculated.

[0080] The mapping relationship between the adjustment coefficient and the gypsum board yield rate is fitted, and the optimal adjustment coefficient corresponding to the highest gypsum board yield rate is obtained by using the mapping relationship between the adjustment coefficient and the gypsum board yield rate.

[0081] The yield rate of high-quality gypsum board is measured by the sum of the dimensional similarities between qualified finished gypsum board products and standard finished gypsum board products. The dimensional similarity is the Euclidean distance between the dimensional parameters of qualified finished gypsum board products and standard finished gypsum board products. The formula for calculating the dimensional similarity is:

[0082]

[0083] In the formula, P represents the specification similarity, and Z... i Let Z represent the specifications of the i-th qualified gypsum board product, and Z represent the specifications of the standard gypsum board product. i -Z|| represents Z i The Euclidean distance between Z and m is the total number of qualified gypsum board products, and i is the number of measurement items.

[0084] The construction of the model for determining the adjustment coefficient includes:

[0085] Obtain the production environment parameters of multiple gypsum board production lines, the performance parameters of the gypsum used in the gypsum board production lines, and the optimal adjustment coefficient of each gypsum board production line.

[0086] The production environment parameters and gypsum performance parameters of the gypsum board production line are used as input terms of the BP neural network, and the optimal adjustment coefficient of gypsum board productivity is used as the output term of the BP neural network. The BP neural network is used to train the network to obtain the adjustment coefficient determination model.

[0087] The model expression for determining the adjustment coefficient is:

[0088] A = BP(data[X], data[Y]);

[0089] In the formula, A is the adjustment coefficient, data[X] is the production environment parameter, data[Y] is the gypsum performance parameter, and BP is the BP neural network.

[0090] The adjustment coefficient is related to the on-site production environment and the properties of gypsum. Therefore, different adjustment coefficients need to be summarized for different production environments and gypsum properties. Thus, this embodiment constructs an adjustment coefficient determination model to calculate the most suitable adjustment coefficient based on the production environment and gypsum properties, so as to achieve the best quality of gypsum board production.

[0091] Step S3: Combine the adjustment coefficient with the linear relationship to obtain the matching relationship between the feeding system and the main line system, so as to realize the automatic matching of the paper-faced gypsum board formula.

[0092] The construction of matching relationships includes:

[0093] The adjustment coefficient determination model is combined with the linear relationship between the amount of calcined gypsum added and the main line speed, and the linear relationship between the amount of pulp water added and the main line speed to obtain the matching relationship between the amount of calcined gypsum added and the main line speed.

[0094] The matching relationship between the amount of calcined gypsum added and the main line speed is as follows:

[0095] F=((BP(data[X],data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V;

[0096] The matching relationship between pulp water addition and main line speed is as follows:

[0097] W 水 =G*((BP(data[X], data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V.

[0098] Similarly, since the amount of each additive added is linearly related to the amount of calcined gypsum added, the matching relationship between the amount of calcined gypsum added and the main line velocity can be determined by combining the fixed empirical coefficients. For example, if the fixed empirical coefficient for the amount of additive added is K, then KF represents the matching relationship between the amount of additive added and the main line velocity.

[0099] The specification parameters must contain at least one parameter component. When calculating specification similarity, each parameter component in the specification parameters is normalized.

[0100] Both production environment parameters and gypsum performance parameters contain at least one parameter component, and each parameter component is normalized when performing matching relationship calculations.

[0101] In actual production, once the production specifications are determined, the system PLC automatically calls the matching relationship according to the production specifications to automatically match the various production process parameters required for production (calcined gypsum input, pulp water addition, and additive addition). After the matching is completed, it is sent to the frequency converter that performs the control of various ingredients (calcined gypsum, pulp water, and additives) through PLC communication. By controlling the frequency of the frequency converter, the automatic formula matching function is realized.

[0102] This invention constructs a linear relationship between various production process parameters and the main line speed of the main line system in the paper-faced gypsum board feeding system. Based on the gypsum board yield, the optimal adjustment coefficient is selected according to the linear relationship, and an adjustment coefficient determination model is constructed to characterize the mapping relationship between the adjustment coefficient and the production environment and gypsum performance. This enables automatic matching of the paper-faced gypsum board formula and sets the matching relationship according to the production environment and gypsum performance during the paper-faced gypsum board production process, which is closer to the scenario application and improves the actual production effect.

[0103] 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 matching control method for a paper-faced gypsum board feeding system and a main line system, characterized in that: Includes the following steps: Step S1: Construct a linear relationship between each production process parameter and the main line speed of the main line system in the paper-faced gypsum board feeding system. Step S2: Select the optimal adjustment coefficient based on the linear relationship of the gypsum board yield, and construct an adjustment coefficient determination model that characterizes the mapping relationship between the adjustment coefficient and the production environment and gypsum performance; Step S3: Combine the adjustment coefficient with the linear relationship to obtain the matching relationship between the feeding system and the main line system, so as to realize the automatic matching of the paper-faced gypsum board formula; The optimal adjustment coefficient is selected based on the linear relationship between the finished product yield of gypsum board and the following: Multiple adjustment coefficients were set, and the amount of calcined gypsum and pulp water added were set using each adjustment coefficient. The gypsum board was trial-produced with the amount of calcined gypsum and pulp water added corresponding to each adjustment coefficient, and the yield rate of gypsum board in the trial production corresponding to each adjustment coefficient was calculated. The mapping relationship between the adjustment coefficient and the gypsum board yield rate is fitted, and the optimal adjustment coefficient corresponding to the highest gypsum board yield rate is obtained by using the mapping relationship between the adjustment coefficient and the gypsum board yield rate. The yield rate of high-quality gypsum board is measured by the sum of the dimensional similarities between qualified finished gypsum board products and standard finished gypsum board products. The dimensional similarity is the Euclidean distance between the dimensional parameters of qualified finished gypsum board products and standard finished gypsum board products. The formula for calculating the dimensional similarity is: In the formula, P represents the specification similarity, and Z... i Let Z represent the specifications of the i-th qualified gypsum board product, and Z represent the specifications of the standard gypsum board product. i -Z|| represents Z i The Euclidean distance between Z and m is the total number of qualified gypsum board products, and i is the number of measurement items. The construction of the model for determining the adjustment coefficient includes: Obtain the production environment parameters of multiple gypsum board production lines, the performance parameters of the gypsum used in the gypsum board production lines, and the optimal adjustment coefficient of each gypsum board production line. The production environment parameters and gypsum performance parameters of the gypsum board production line are used as input terms of the BP neural network, and the optimal adjustment coefficient of gypsum board productivity is used as the output term of the BP neural network. The BP neural network is used to train the network to obtain the adjustment coefficient determination model. The model expression for determining the adjustment coefficient is: A = BP(data[X], data[Y]); In the formula, A is the adjustment coefficient, data[X] is the production environment parameter, data[Y] is the gypsum performance parameter, and BP is the BP neural network.

2. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 1, characterized in that: The production relations include: Dry gypsum board weight per unit = Dry gypsum board weight ÷ Dry gypsum board production area; Dry gypsum board weight = Wet board weight - Evaporation amount; Dry gypsum board weight = Wet board weight - Dryer evaporation rate; Evaporation capacity = Dryer evaporation capacity ÷ Surface area of ​​dry gypsum board production; Wet board weight = amount of calcined gypsum added + amount of pulp water added + amount of each additive added; Wet board unit weight = Wet board weight ÷ Dry gypsum board production surface area; Water-to-solid ratio = Amount of pulp water added ÷ Amount of calcined gypsum added; Dry gypsum board production surface area = main line speed * 60 * standard width of gypsum board.

3. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 2, characterized in that: The construction of the linear relationship includes: Using the aforementioned production relationships, the unit weight of dry gypsum board, unit weight of wet gypsum board, surface area of ​​dry gypsum board production, and amount of pulp water added are calculated. The formula for calculating the weight of dry gypsum board is W. 干 =W 湿 -E, where W 干 W is the unit weight of dry gypsum board. 湿 E represents the weight of the wet plate and the amount of evaporation. The formula for calculating the weight of the wet board is W. 湿 =(F+W 水 +W 添 )÷S, where W 湿 F is the weight of the wet board, F is the amount of calcined gypsum added, and W is the weight of the wet board. 水 W is the amount of pulp water added. 添 The amount of each additive added; The formula for calculating the surface area of ​​the dry gypsum board production is S = 60 * V * h, where S is the surface area of ​​the dry gypsum board production, V is the main linear velocity, and h is the standard width of the gypsum board. The formula for calculating the amount of pulp water added is W. 水 =F*G, where W 水 F represents the amount of pulp water added, G represents the amount of calcined gypsum added, and G represents the water-to-powder ratio. Construct a gypsum board production process formula for a gypsum board production line, wherein the production process formula is W. 干 =F1*((A-1)*N+1)*(1+0.5%), where W 干 F1 is the weight of the dry gypsum board, A is the amount of calcined gypsum added per square meter, and N is the gypsum grade. By combining the gypsum board production process formula, the unit weight of dry gypsum board, the unit weight of wet gypsum board, the surface area of ​​dry gypsum board production, and the amount of pulp water added, a linear relationship between the amount of calcined gypsum input and the main line speed is obtained. The formula for the linear relationship between the amount of calcined gypsum input and the main line speed is F = ((A-1)*N+1)*(1+0.5%)*60*h*1000*V. The formula for the linear relationship between the amount of pulp water added and the main line speed is W. 水 =G*((A-1)*N+1)*(1+0.5%)*60*h*1000*V, where F is the amount of calcined gypsum added, W 水 V represents the amount of water added to the pulp, V is the main linear velocity, h is the standard width of the gypsum board, and G is the water-to-powder ratio.

4. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 3, characterized in that: The construction of the matching relationship includes: The adjustment coefficient determination model is combined with the linear relationship between the amount of calcined gypsum added and the main line speed, and the linear relationship between the amount of pulp water added and the main line speed to obtain the matching relationship between the amount of calcined gypsum added and the main line speed. The matching relationship between the amount of calcined gypsum added and the main line speed is as follows: F=((BP(data[X],data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V; The matching relationship between pulp water addition and main line speed is as follows: W 水 =G*((BP(data[X],data[Y])-1)*N+1)*(1+0.5%)*60*h*1000*V。 5. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 4, characterized in that, The specification parameters contain at least one parameter component, and each parameter component in the specification parameters is normalized when performing specification similarity calculation.

6. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 5, characterized in that, The production environment parameters and gypsum performance parameters each contain at least one parameter component, and each parameter component is normalized during the matching relationship calculation.

7. The matching control method for a paper-faced gypsum board feeding system and a main line system according to claim 6, characterized in that, The amount of each additive added is linearly correlated with the amount of calcined gypsum added.

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