Production control method and system for chemical composite material

Abstract

The invention belongs to the technical field of composite material production management and control, and particularly relates to a chemical composite material production management and control method and system, and the system comprises a data collection unit, a model construction unit, and a production management and control unit. The data acquisition unit can accurately acquire key data such as operation parameters of production equipment, raw material input and product output in real time, and provides a reliable basis for production management and control. The model construction unit establishes a production relation mathematical model based on historical data, considers multiple factor correction coefficients, calculates parameters in combination with a least square method, and better fits the actual production condition. The production management and control unit can accurately calculate the feeding amount of the raw materials according to the collected data and the model; by comparing the actual input with the theoretical input, adjustment can be carried out in time, supplement can be carried out when the input is insufficient, and the output can be adjusted when the input is excessive, so that intelligent management and control are realized; in addition, data acquisition modes are explained, and the data accuracy is ensured; and the production stability and controllability are improved on the whole.

Description

Technical Field

[0001] The present invention belongs to the technical field of production control of composite materials, and specifically relates to a production control method and system for chemical composite materials. Background Art

[0002] In the production practice of chemical composite materials, the previous production control means relying on manual experience and simple process control have exposed a series of insurmountable drawbacks. From the perspective of monitoring the operating parameters of production equipment, key indicators such as the temperature, pressure, and stirring speed of the reaction kettle cannot be captured in a timely and accurate manner due to the lack of automated and high-precision real-time monitoring equipment and systems, resulting in the production process often deviating from the optimal process conditions, leading to uneven product quality and a high defective rate.

[0003] In terms of raw material input, the traditional method cannot accurately control the types and input amounts of the raw materials that have been input; in the raw material type identification link, relying on manual inspection and recording, situations such as misrecording and omission are likely to occur, resulting in the mixing of wrong types of raw materials and affecting product performance; in terms of input amount control, there is a lack of precise metering equipment and dynamic adjustment mechanisms, and problems such as over-investment or under-investment often occur, which not only causes waste of raw materials, increases production costs, but also may lead to production accidents due to unbalanced material ratios. In addition, the relationship between the real-time output of products, raw material input, and production conditions has not been deeply explored and effectively utilized in the traditional production control system. Production managers are difficult to quickly and scientifically adjust the raw material input strategy and production equipment operating parameters according to the real-time output situation, resulting in a lack of flexibility and adaptability in the production process and being unable to meet the market's production requirements for chemical composite materials in terms of diversification, high quality, and large scale. Summary of the Invention

[0004] The purpose of the present invention is to provide a production control method and system for chemical composite materials to solve the problems raised in the background art.

[0005] The present invention can be achieved through the following technical solutions: A production control system for chemical composite materials, comprising: A data acquisition unit, which is used to collect multiple key data in real time during the production process of chemical composite materials; The key data includes the operating parameters of the current production equipment, the types and input amounts of the raw materials that have been input, and the real-time output of the products; the operating parameters of the production equipment refer to the temperature, pressure, and stirring speed of the reaction kettle; A model building unit, the model building unit is used to establish a production relationship mathematical model about the relationship between the types and input amounts of raw materials, production conditions, and real-time output amounts of products based on historical production data; Among them, production conditions refer to the operating parameters of the corresponding production equipment in the historical production data; The production control unit is used to calculate the adjustment amount of various raw materials under the current production status through the key data collected by the data collection unit and the mathematical model of production relations established by the model building unit.

[0006] As a further solution of the present invention: the production relationship mathematical model is established as follows: Select a raw material and set a linear relationship between the output of the product and the input of the raw material under ideal production conditions; And formulate a linear formula: M=k1×NA+b1; In the formula: k1 is the slope, b1 is the intercept, M is the product output, and NA is the input of the raw material; Then, based on the linear relationship under ideal production conditions, the correction coefficients of temperature, pressure and stirring speed corresponding to actual production are introduced to correct the linear formula, and the corrected linear formula is obtained: M=k1×NA×T y ×P z ×J s +b1; Where: T y is the temperature correction factor, P z is the pressure factor correction coefficient, J s is the correction coefficient of stirring speed factor; among them, the correction coefficient of temperature factor, pressure factor and stirring speed factor are obtained by fitting the experimental data; Then the specific values ​​of k1 and b1 are calculated by the least squares method; The formula is as follows:

[0007] In the formula: NA i is the input amount of the corresponding type of raw materials in the historical production data, M i For historical production data with NA i The corresponding real-time output volume, i=1, 2, ... n, n represents the number of samples of historical production data, that is, the total number of historical production records; Then substitute the obtained k1 and b2 into M=k1×NA×T y ×P z ×J sinto +b1, and obtain a mathematical model of the production relationship regarding the relationship among the corresponding input quantity of this raw material, production conditions, and real-time output quantity of the product; And so on, calculate the mathematical model of the production relationship regarding the relationship among all types of raw materials, input quantities, production conditions, and real-time output quantity of the product.

[0008] As a further solution of the present invention: The temperature factor correction coefficient is obtained through the following method: Select multiple identical chemical composite material production reactors as experimental devices. Among them, adjust the initial temperature and initial pressure of multiple identical chemical composite material production reactors to be the same, and select multiple portions of raw materials of the same type, purity, and initial input quantity and put them into multiple identical chemical composite material production reactors; Conduct multiple groups of production experiments under different preset temperature conditions, and set multiple temperature points at a preset temperature interval t0; For each temperature point, conduct the production operation of chemical composite materials according to the standard production process. Among them, during the production process, the stirring speed and pressure remain constant, and record in real time the input quantity of raw materials used to produce a fixed quantity of products at each temperature point; Extract the input quantity of raw materials used to produce a fixed quantity of products at the same temperature point in multiple identical chemical composite material production reactors, calculate its average value, and denote it as NA p-Te ; wherein, NA p-Te is the average value of all raw material input quantities at the e-th temperature point; T e is the value of the e-th temperature point; e = 1, 2,..., r, representing the number of temperature points; Select the temperature value of the chemical composite material production reactor in the ideal state as the reference temperature value, and denote it as NA0, where the reference temperature value is obtained from the equipment nameplate and is the temperature value preset by the manufacturer through a large number of experiments; Through CT e = NA0 / NA p-Te Calculate the temperature factor correction coefficient CT at the e-th temperature point e ; Hypothesize a linear equation: CT = k2×T + b2; In the formula: k2 is the slope, b2 is the intercept, T is the substitution variable corresponding to the value of the corresponding temperature point, and CT is the substitution variable corresponding to the temperature factor correction coefficient of the corresponding temperature point; Then, obtain the specific values of k2 and b2 through the least squares method. Then, based on the values of k2 and b2, combine them with the hypothesized linear equation to generate a mathematical model corresponding to the temperature CT = k2×T + b2.

[0009] As a further solution of the present invention: The method for obtaining the pressure factor correction coefficient is similar to that for obtaining the temperature factor correction coefficient. Only by changing the independent variable from temperature to pressure can the mathematical model corresponding to pressure be obtained; The method for obtaining the stirring speed factor correction coefficient is similar to that for obtaining the temperature factor correction coefficient. Only by changing the independent variable from temperature to stirring speed can the mathematical model corresponding to stirring speed be obtained.

[0010] As a further solution of the present invention: The specific method of the production control unit is as follows: Extract the current temperature, pressure, and stirring speed of the reaction kettle, and then calculate the temperature factor correction coefficient, pressure factor correction coefficient, and stirring speed factor correction coefficient through the mathematical models corresponding to temperature, pressure, and stirring speed respectively; Obtain the target output of the product, where the target output refers to the expected output quantity of the product; Then substitute the temperature factor correction coefficient, pressure factor correction coefficient, stirring speed factor correction coefficient, and target output into the production relationship mathematical model M = k1 × NA × T y ×P z ×J s +b1 to obtain the theoretical input quantity of each raw material type; In the production relationship mathematical model, M is used to substitute the target output, and NA is the theoretical input quantity; Select and obtain the input quantity of a raw material that has been input, and mark it as NA u , and at the same time mark the theoretical input quantity obtained from the production relationship mathematical model as NA v , then compare NA u and NA v : If NA u <NA v , it means that the input quantity of this raw material is insufficient. Then calculate the additional supplementary input quantity NA of this raw material through NA w =NA v -NA u ; w ; If NA u =NA v , it means that the input quantity of this raw material is appropriate; If NA u >NA v, it indicates that the input amount of this raw material is excessive. Then, substitute the input amount of this raw material that has been input into the production relationship mathematical model of the relationship among the input amount of this raw material, production conditions, and the real-time output amount of the product to calculate the adjustment value of the target output amount, that is, the adjusted output amount of the product.

[0011] As a further solution of the present invention: the temperature of the reaction kettle is obtained through a temperature sensor; wherein, the temperature sensor is inserted into the material inside the reaction kettle or installed on the wall of the reaction kettle close to the material; the pressure of the reaction kettle is measured by a pressure sensor; wherein, the pressure sensor is installed at the top or side of the reaction kettle corresponding to the part that can sense the internal pressure; the stirring speed is obtained by a speed sensor; the speed sensor is installed on the stirring shaft, and the speed sensor adopts one of an optoelectronic speed sensor or a magnetoelectric speed sensor; the types of raw materials that have been input are obtained by installing an identification device on the storage container and conveying pipeline of the raw materials; the identification device adopts an RFID tag and a corresponding reader. When the raw material passes by, the reader identifies the tag information to determine the type of the raw material; the input amount of the raw material that has been input is obtained by installing a flow meter on the conveying pipeline; wherein, an electromagnetic flow meter is selected for liquids, and a gravity flow meter is selected for solid particles. The flow meter records the flow rate of the raw material passing through in real time, and then combines with the conveying time to obtain the specific input amount of the raw material that has been input; the real-time output amount of the product is obtained by installing a weighing sensor at the product discharge port or in the packaging link; when the product is produced, it passes through the weighing platform, and the weighing sensor senses the real-time output amount of the product.

[0012] A production control method for a chemical composite material is realized through a production control system for a chemical composite material, including the following steps: During the production process of the chemical composite material, the operating parameters of the current production equipment, the types and input amounts of the raw materials that have been input, and the real-time output amount of the product are collected in real time; Based on historical production data, establish a production relationship mathematical model of the relationship among the types and input amounts of raw materials, production conditions, and the real-time output amount of the product; Calculate the adjustment amounts of various raw materials in the current production state through the key data collected by the data acquisition unit and the production relationship mathematical model established by the model construction unit.

[0013] Compared with the prior art, the beneficial effects of the present invention are: The production control system for chemical composite materials of the present invention collects multiple key data during the production process of chemical composite materials in real time through a data acquisition unit, including the operating parameters of production equipment (temperature, pressure, and stirring speed of the reaction kettle), the types and input amounts of raw materials already input, and the real-time output of products, and details the acquisition methods of each data, such as the application of temperature sensors, pressure sensors, speed sensors, identification devices, flow meters, weighing sensors, etc., ensuring the accuracy and real-time nature of the data and providing a reliable data basis for subsequent production control.

[0014] The production control system for chemical composite materials uses a model construction unit to establish a mathematical model of production relationship based on historical production data, considers the linear relationship between the product output and the raw material input under ideal production conditions, and introduces correction coefficients for corresponding factors of temperature, pressure, and stirring speed in actual production to correct the linear formula, and then calculates relevant parameter values through the least squares method, which can more accurately reflect the relationship between the types and input amounts of raw materials, production conditions, and the real-time output of products, making the mathematical model of the production process more in line with the actual production situation and helping to accurately predict and control production.

[0015] The production control system for chemical composite materials details the derivation methods of the temperature factor correction coefficient, pressure factor correction coefficient, and stirring speed factor correction coefficient. By conducting experiments and using the least squares method to establish corresponding mathematical models, during the production process, the corresponding correction coefficients can be calculated in real time according to the actual temperature, pressure, and stirring speed, further improving the accuracy of the mathematical model of production relationship and making production control more scientific and reasonable.

[0016] In the production control system for chemical composite materials, the production control unit can calculate the adjustment amounts of various raw materials under the current production state based on the collected data and the established model. By comparing the input amounts of raw materials already input with the theoretical input amounts, it determines whether the raw material input is insufficient, appropriate, or excessive, and takes corresponding measures, such as calculating the additional supplementary input amount or adjusting the target output amount, realizing the intelligent and precise control of raw material input during the production process, helping to improve product quality and production efficiency, and reducing raw material waste.

[0017] The present invention can monitor and adjust key parameters and raw material input in the production process in real time, making the production process more stable, reducing the risk of unstable product quality caused by fluctuations in production conditions or unreasonable raw material input, improving the controllability and predictability of production, and being conducive to the standardization and standardization of chemical composite material production. Brief Description of the Drawings

[0018] The present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1It is the system block diagram of the production control system for the chemical composite material of the present invention. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] Embodiment 1 Please refer to Figure 1 As shown, the present invention provides a production control system for chemical composite materials, including: A data acquisition unit, which is used to collect multiple key data in real time during the production process of chemical composite materials; The key data includes the operating parameters of the current production equipment, the types and input amounts of the raw materials already input, and the real-time output amount of the product; The operating parameters of the production equipment are referred to as the temperature, pressure, and stirring speed of the reaction kettle; Among them, the operating parameters of the key data are obtained through sensors distributed at various key parts of the production equipment; in this embodiment: The temperature of the reaction kettle is obtained through a temperature sensor; among them, the temperature sensor is inserted into the material inside the reaction kettle or installed on the wall of the reaction kettle close to the material; The pressure of the reaction kettle is measured by a pressure sensor; among them, the pressure sensor is installed at the top or side of the reaction kettle corresponding to the part that can sense the internal pressure; The stirring speed is obtained by using a speed sensor; the speed sensor is installed on the stirring shaft, and the speed sensor is one of an optoelectronic speed sensor or a magnetoelectric speed sensor; The types of the raw materials already input are obtained by installing identification devices on the storage containers and conveying pipelines of the raw materials; the identification device uses RFID tags and corresponding readers. When the raw materials pass by, the reader identifies the tag information to determine the types of the raw materials; The input amount of the raw materials already input is obtained by installing a flowmeter on the conveying pipeline; among them, an electromagnetic flowmeter is selected for liquids, and a gravity flowmeter is selected for solid particles. The flowmeter records the flow rate of the raw materials passing through in real time, and then combines with the conveying time to obtain the specific input amount of the raw materials already input; The real-time output amount of the product is obtained by installing a weighing sensor at the product discharge port or in the packaging link; when the product is produced, it passes through the weighing platform, and the weighing sensor senses the real-time output amount of the product; A model construction unit, which is used to establish a mathematical production relationship model based on historical production data for the relationship between the type and input quantity of raw materials, production conditions, and the real-time output quantity of products; Among them, the production conditions refer to the operating parameters of the corresponding production equipment in the historical production data; The method for establishing the mathematical production relationship model is as follows: Select a type of raw material, and assume that there is a linear relationship between the output quantity of the product and the input quantity of this raw material under ideal production conditions; And formulate a linear formula: M = k1×NA + b1; In the formula: k1 is the slope, b1 is the intercept, M is the product output quantity, and NA is the input quantity of this raw material; Subsequently, based on the linear relationship under ideal production conditions, introduce the correction coefficients for factors such as temperature, pressure, and stirring speed in actual production to correct the linear formula, and obtain the corrected linear formula: M = k1×NA×T y ×P z ×J s +b1; In the formula: T y is the temperature factor correction coefficient, P z is the pressure factor correction coefficient, J s is the stirring speed factor correction coefficient; among them, the temperature factor correction coefficient, pressure factor correction coefficient, and stirring speed factor correction coefficient are obtained by fitting experimental data; Then calculate the specific values of k1 and b1 through the least squares method; The formula is as follows:

[0022] In the formula: NA i is the input quantity of a single time of the corresponding type of raw material in the historical production data, M i is the real-time output quantity corresponding to NA i in the historical production data, i = 1, 2, …… n, and n represents the number of samples of the historical production data, that is, the total number of historical production records; Subsequently, substitute the obtained k1 and b2 into M = k1×NA×T y ×P z ×J s +b1, and obtain a mathematical production relationship model for the relationship between the corresponding input quantity of this raw material, production conditions, and the real-time output quantity of the product; And so on, calculate the mathematical production relationship model for the relationship between all types of raw materials, input quantities, production conditions, and the real-time output quantity of the product corresponding to the product; The production control unit is used to calculate the adjustment amount of various raw materials under the current production status through the key data collected by the data collection unit and the production relationship mathematical model established by the model building unit; The current temperature, pressure and stirring speed of the reactor are extracted, and then the temperature factor correction coefficient, pressure factor correction coefficient and stirring speed factor correction coefficient are calculated through the mathematical models corresponding to the temperature, pressure and stirring speed respectively; Obtain the target output of the product, where the target output refers to the expected output quantity of the product; Then, the temperature factor correction coefficient, pressure factor correction coefficient, stirring speed factor correction coefficient and target output are respectively substituted into the production relationship mathematical model M=k1×NA×T of the relationship between the input amount of each type of corresponding raw materials, production conditions and the real-time output of the product. y ×P z ×J s +b1, the theoretical input amount of each type of raw material is obtained; In the mathematical model of production relations, M is used to substitute the target output, and NA is the theoretical input; Select to obtain the input amount of a raw material and mark it as NA u , and mark the theoretical input obtained from the mathematical model of production relations as NA v , then NA u and NA v For comparison: If NA u <NA v , it means that the input of this raw material is insufficient, and then through NA w =NA v -NA u Calculate the additional input NA of this raw material w ; If NA u =NA v , it means that the input amount of this raw material is moderate; If NA u >NA v , it means that the input of this raw material is excessive, and then the input of this raw material is substituted into the production relationship mathematical model of the relationship between the input of this raw material, production conditions, and the real-time output of the product, and the adjusted output is calculated; Among them, adjusting the output volume is the adjustment measure taken. By adjusting the production targets, controlling other production conditions, etc., we try to ensure that the product quality meets the requirements, reduce the quality risks caused by excessive raw materials, make the production process more stable and controllable, and ensure that the final product can meet the expected quality standards.

[0023] Example 1 constructs a production control system for chemical composite materials. This system can collect key data in real time during the production process of chemical composite materials, covering operating parameters of production equipment, raw material input, and real-time product output. By establishing a mathematical model of production relationships based on historical production data, it can accurately reflect the relationships among raw material types, input quantities, production conditions, and product output. The production control unit calculates the adjustment quantities of various raw materials under the current production state by using the collected data and the mathematical model, can timely detect situations of insufficient, appropriate, or excessive raw material input, and take corresponding measures, such as supplementing the input quantity or adjusting the output quantity, so as to ensure the stability and controllability of the production process, ensure that the product quality meets the expected standards, and improve production efficiency and product quality.

[0024] Example 2 Please refer to Figure 1 As shown, the difference between the technical solution of Example 2 and that of Example 1 is only that in this example, the specific derivation methods of the pressure factor correction coefficient, temperature factor correction coefficient, and stirring speed factor correction coefficient are also proposed; Among them: The temperature factor correction coefficient is obtained through the following method: Select multiple identical chemical composite material production reactors as experimental devices. Among them, adjust the initial temperature and initial pressure of multiple identical chemical composite material production reactors to be the same, and select multiple portions of raw materials of the same type, purity, and initial input quantity and put them into multiple identical chemical composite material production reactors; Conduct multiple groups of production experiments under different preset temperature conditions; in this example, the temperature range in the preset temperature conditions is from T min to T max , and set multiple temperature points at a preset temperature interval t0; For each temperature point, perform the production operation of chemical composite materials according to the standard production process. Among them, during the production process, keep the stirring speed and pressure constant, and record in real time the input quantity of raw materials used to produce a fixed quantity of products at each temperature point; Extract the input quantities of raw materials used to produce a fixed quantity of products at the same temperature point by multiple identical chemical composite material production reactors, calculate their average value, and record it as NA p-Te ; Among them, NA p-Te is the average value of all raw material input quantities at the e-th temperature point; T e is the value of the e-th temperature point; e = 1, 2,..., r, representing the number of temperature points; Select the temperature value of the chemical composite material production reactor under ideal conditions as the reference temperature value, and mark it as NA0. The reference temperature value is obtained from the equipment nameplate, which is the temperature value preset by the manufacturer through a large number of experiments; Through CT e =NA0 / NA p-Te Calculate the temperature factor correction coefficient CT at the e-th temperature point e ; Suppose a linear equation: CT = k2×T + b2; In the formula: k2 is the slope, b2 is the intercept, T is the substitution variable of the corresponding value of the corresponding temperature point, and CT is the substitution variable of the temperature factor correction coefficient corresponding to the corresponding temperature point; Then, obtain the specific values of k2 and b2 by the least squares method. Then, based on the values of k2 and b2, combine them with the supposed linear equation to generate a mathematical model CT = k2×T + b2 corresponding to the temperature; Among them, the temperature factor correction coefficient represents the influence degree of temperature on the product output; the least squares method is an existing mathematical algorithm, which will not be elaborated here; In this embodiment: The method for obtaining the pressure factor correction coefficient is similar to the method for obtaining the temperature factor correction coefficient. It only needs to change the independent variable from temperature to pressure to obtain the mathematical model corresponding to pressure; the method for obtaining the stirring speed factor correction coefficient is similar to the method for obtaining the temperature factor correction coefficient. It only needs to change the independent variable from temperature to stirring speed to obtain the mathematical model corresponding to stirring speed.

[0025] Based on Embodiment 1, Embodiment 2 proposes the specific methods for obtaining the pressure factor correction coefficient, temperature factor correction coefficient, and stirring speed factor correction coefficient. By conducting multiple groups of production experiments in multiple identical reactors, controlling variables and recording the input amounts of raw materials used to produce a fixed amount of products at different temperatures, pressures, and stirring speeds, the correction coefficients of each factor are calculated, and the least squares method is also used to generate the corresponding mathematical models. These mathematical models can more accurately reflect the influence degrees of temperature, pressure, and stirring speed on the product output, provide a more accurate correction basis for the production relationship mathematical model, further improve the accuracy and reliability of production control, and help optimize the production process and improve product quality.

[0026] Embodiment 3 Please refer to Figure 1As shown, the technical solution of Embodiment 3 is to combine the solutions of Embodiment 1 and Embodiment 2. It not only has the advantages of Embodiment 1 in real-time collecting key data, establishing a mathematical model of production relationship, and calculating the adjustment amount of raw materials to ensure production stability and product quality, but also has the advantages of Embodiment 2 in accurately obtaining the correction coefficients of various factors and the corresponding mathematical models. By integrating the advantages of the two embodiments, the production process of chemical composite materials can be more comprehensively and accurately controlled, making the production process more scientific and reasonable, and ensuring that the product quality meets the expectations to the greatest extent, improving production efficiency and enterprise competitiveness.

[0027] The present invention also provides a production control method for chemical composite materials, which is realized through a production control system for chemical composite materials and includes the following steps: During the production process of chemical composite materials, the operating parameters of the current production equipment, the types and input amounts of the raw materials already input, and the real-time output amount of the product are collected in real time; Based on historical production data, a mathematical model of production relationship is established for the relationship between the types and input amounts of raw materials, production conditions, and the real-time output amount of the product; Based on the key data collected by the data collection unit and the mathematical model of production relationship established by the model construction unit, the adjustment amounts of various raw materials in the current production state are calculated.

[0028] All the above formulas are dimensionless and take their numerical values for calculation. The formula is obtained by collecting a large amount of data and performing software simulation to obtain a formula closest to the real situation. The preset parameters and threshold values in the formula are set by those skilled in the art according to the actual situation.

[0029] The above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A production control system for chemical composite materials, characterized in that, Including: A data acquisition unit, which is used to collect multiple key data in real time during the production process of chemical composite materials; the key data includes the operating parameters of the current production equipment, the types and input amounts of the raw materials already put in, and the real-time output of the product; the operating parameters of the production equipment refer to the temperature, pressure, and stirring speed of the reaction kettle. A model construction unit, which is used to establish a production relationship mathematical model based on historical production data about the relationship between the types and input amounts of raw materials, production conditions, and the real-time output of the product; among them, the production conditions refer to the operating parameters of the corresponding production equipment in the historical production data. A production control unit, which is used to calculate the adjustment amounts of various raw materials under the current production state through the key data collected by the data acquisition unit and the production relationship mathematical model established by the model construction unit.

2. The production control system of a chemical composite material according to claim 1, wherein The production relationship mathematical model is established as follows: Select a raw material, and assume that there is a linear relationship between the output of the product and the input amount of this raw material under ideal production conditions. And formulate a linear formula: M = k1×NA + b1; In the formula: k1 is the slope, b1 is the intercept, M is the product output, and NA is the input amount of this raw material. Subsequently, based on the linear relationship under ideal production conditions, correction factors for the corresponding factors of temperature, pressure, and stirring speed in actual production are introduced to correct the linear formula, and the corrected linear formula is obtained: M = k1 × NA × T y × P z × J s + b1; Where: T y is the temperature factor correction coefficient, P z is the pressure factor correction coefficient, J s is the stirring speed factor correction coefficient; among them, the temperature factor correction coefficient, the pressure factor correction coefficient and the stirring speed factor correction coefficient are obtained by fitting experimental data; Then calculate the specific values of k1 and b1 through the least squares method. Substitute the obtained \(k_1\) and \(b_2\) into \(M = k_1\times N_A\times T\) y \(\times P\) z \(\times J\) s \(+ b_1\), and obtain a mathematical model of the production relationship regarding the relationship among the corresponding input quantity of this raw material, production conditions, and the real-time output quantity of the product. And so on, calculate the production relationship mathematical model of the relationship between all raw material types, input amounts, production conditions, and the real-time output of the product corresponding to the product.

3. The production control system of a chemical composite material according to claim 2, wherein, Among them, The calculation formulas of k1 and b1 are as follows: Where: NA i is the input amount of the corresponding type of raw material once in the historical production data, M i is the real-time output corresponding to NA i , i = 1, 2,..., n, and n represents the number of samples of the historical production data, that is, the total number of historical production records.

4. The production control system of a chemical composite material according to claim 2, wherein The temperature factor correction coefficient is obtained through the following method: Select multiple identical chemical composite material production reaction kettles as experimental devices. Among them, adjust the initial temperature and initial pressure of multiple identical chemical composite material production reaction kettles to be the same, and select multiple copies of the same type, purity, and initial input amount of raw materials and put them into multiple identical chemical composite material production reaction kettles. Carry out multiple groups of production experiments under different preset temperature conditions, and set multiple temperature points at a preset temperature interval t0. For each temperature point, carry out the production operation of chemical composite materials according to the standard production process. Among them, during the production process, the stirring speed and pressure remain constant, and record the input amount of raw materials used to produce a fixed amount of product at each temperature point in real time. Extract the input amounts of raw materials used by multiple identical chemical composite production reactors to produce a fixed amount of product at the same temperature point, calculate their average value, and denote it as NA p-Te ; Among them, NA p-Te is the average value of all raw material input amounts at the e-th temperature point; T e is the value at the e-th temperature point; e = 1, 2, …… r, representing the number of temperature points; Select the temperature value of the chemical composite material production reaction kettle in the ideal state as the reference temperature value and mark it as NA0. Among them, the reference temperature value is obtained on the equipment nameplate, and it is the temperature value preset by the manufacturer through a large number of experiments. Through CT e =NA0 / NA p-Te Calculate the temperature factor correction coefficient CT at the e-th temperature point e ; Hypothesize a linear equation: CT = k2×T + b2; In the formula: k2 is the slope, b2 is the intercept, T is the substitution variable corresponding to the value of the corresponding temperature point, and CT is the substitution variable corresponding to the temperature factor correction coefficient of the corresponding temperature point. Then obtain the specific values of k2 and b2 through the least squares method. Then, based on the values of k2 and b2, combine them with the hypothesized linear equation to generate the mathematical model CT = k2×T + b2 corresponding to the temperature.

5. The production control system of a chemical composite material according to claim 4, characterized in that, According to the method of obtaining the temperature factor correction coefficient, calculate the pressure factor correction coefficient and the stirring speed factor correction coefficient.

6. The production control system of a chemical composite material according to claim 5, characterized in that, The specific method of the production control unit is as follows: Extract the current temperature, pressure, and stirring speed of the reaction kettle, and then calculate the temperature factor correction coefficient, pressure factor correction coefficient, and stirring speed factor correction coefficient through the mathematical models corresponding to the temperature, pressure, and stirring speed respectively; Obtain the target output quantity of the product, where the target output quantity refers to the expected quantity of the product to be produced; Then, substitute the temperature factor correction coefficient, pressure factor correction coefficient, stirring speed factor correction coefficient, and target output into the production relationship mathematical model M = k1×NA×T y ×P z ×J s +b1 for the relationship among the input amount, production conditions, and real-time output of products of each type of raw material, and obtain the theoretical input amount of each type of raw material; In the production relationship mathematical model, M is used to substitute the target output quantity, and NA is the theoretical input quantity; Select the input quantity of a raw material that has been put in and mark it as NA u , and at the same time mark the theoretical input quantity obtained from the mathematical model of the production relationship as NA v , then take NA u and NA v for comparison, and based on the comparison result, determine whether the input quantity of this raw material is appropriate.

7. The production control system of a chemical composite material according to claim 6, characterized in that, If NA u <NA v , it means that the input amount of this raw material is insufficient; If NA u =NA v , it means that the input amount of this raw material is appropriate; If NA u > NA v , it means that the input amount of this raw material is excessive.

8. The production control system of a chemical composite material according to claim 7, characterized in that, When the input quantity of the corresponding type of raw material is insufficient, then through NA w =NA v -NA u Calculate the additional supplementary input quantity NA of this type of raw material w ; When the input quantity of a corresponding type of raw material is excessive, substitute the input quantity of the raw material that has been input into the production relationship mathematical model of the relationship between the input quantity, production conditions, and real-time output quantity of the product to calculate the adjustment value for adjusting the target output quantity, that is, the adjusted output quantity of the product.

9. The production control system of a chemical composite material according to claim 1, characterized in that, The temperature of the reaction kettle is obtained through a temperature sensor; the pressure of the reaction kettle is measured using a pressure sensor; the stirring speed is obtained using a speed sensor installed on the stirring shaft; the types of raw materials that have been input are obtained by installing an identification device on the storage container and conveying pipeline of the raw materials; the input quantity of the raw materials that have been input is obtained by installing a flow meter on the conveying pipeline; the real-time output quantity of the product is obtained by installing a weighing sensor at the product discharge port or in the packaging link.

10. A production control method for a chemical composite material, characterized in that, It is realized through the production control system of a chemical composite material described in any one of claims 1-9.

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