A method and system for controlling the production consistency of urea-formaldehyde products

Abstract

The present application discloses a method and system for controlling the production consistency of urea-formaldehyde products, and the present application belongs to the field of urea-formaldehyde product production. The method includes: creating a first data set; constructing a production control model, training the production control model until the production control model reaches a preset model judgment standard; determining a first future concentration change trend of the urea-formaldehyde product; obtaining a preset concentration change trend of the urea-formaldehyde product, and if the first future concentration change trend is different from the preset concentration change trend, then determining an adjustment strategy for the production of the urea-formaldehyde product based on the first future concentration change trend and the preset concentration change trend, and adjusting the production process of the urea-formaldehyde product based on the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard. This solution predicts the future concentration change trend of the product through a production control model; the production strategy can be adjusted based on the prediction results to ensure that the product reaches the preset concentration change target, thereby improving production efficiency, production accuracy and product consistency.

Description

Technical Field

[0001] The present application relates to the technical field of urea-formaldehyde product production, and in particular to a method and system for controlling the production consistency of urea-formaldehyde products. Background Art

[0002] In industrial production, it is crucial to ensure the consistency of urea-formaldehyde product production. This consistency control involves managing and optimizing the production process to ensure that the quality and performance of urea-formaldehyde products remain stable under different batches and production conditions.

[0003] Today, when producing urea-formaldehyde products, operators need to monitor real-time data to understand key parameters in the production process, such as temperature, pressure, flow, pH, and concentration. Based on real-time monitoring data and preset goals, operators may need to adjust operating parameters in the production process, such as adjusting the reaction temperature, changing the stirring speed, and adjusting the proportion of raw materials, until the production process is completed.

[0004] However, manual control depends on the operator's experience and skill level. The operator's subjective judgment and operating habits may affect the production process, resulting in some unforeseen changes or errors. In addition, the response speed of manual control may be slow, which may cause delays or untimely responses in the production process, thus affecting the consistency of the product. Summary of the invention

[0005] The embodiments of the present application provide a method and system for controlling the production consistency of urea-formaldehyde products, which solves the problem that the manual control of the urea-formaldehyde product production process in the prior art depends on the operator's experience and skill level, and the operator's subjective judgment and operating habits may affect the production process, resulting in some unforeseen changes or errors; and the response speed of manual control may be slow, which may cause delays or untimely responses in the production process, thereby affecting the consistency of the product.

[0006] In a first aspect, an embodiment of the present application provides a method for controlling the production consistency of a urea-formaldehyde product, the method comprising:

[0007] Obtaining historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of urea-formaldehyde product, and historical concentration change trend of urea-formaldehyde product, and creating a first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend;

[0008] A production control model is constructed according to a preset model construction formula, and the production control model is trained according to the first data set until the production control model reaches a preset model determination standard; wherein the preset model construction formula is:

[0009] ;

[0010] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0011] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; is the reaction order vector of each raw material for producing urea-formaldehyde products;

[0012] Obtaining the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde products, inputting the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into a production control model, and determining the first future concentration change trend of the urea-formaldehyde product;

[0013] Obtain a preset concentration change trend of the urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, determine an adjustment strategy for the production of the urea-formaldehyde product based on the first future concentration change trend and the preset concentration change trend, and adjust the production process of the urea-formaldehyde product based on the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0014] Furthermore, according to the first future concentration change trend and the preset concentration change trend, an adjustment strategy for urea-formaldehyde product production is determined, including:

[0015] Determine a first rising rate of the peak concentration of a first future concentration change trend, and determine a second rising rate of the peak concentration of a preset concentration change trend, and calculate a rising rate difference value between the first rising rate and the second rising rate;

[0016] If the rising rate difference value exceeds the preset rising rate difference threshold, the target adjustment parameter is determined to be the current reaction temperature or the current delivery rate of each production raw material;

[0017] Continuously adjusting the current reaction temperature according to a preset temperature adjustment step, and continuously inputting the adjusted reaction temperature, current reaction time, current reaction pH value, and current dosing rate into a production control model to obtain at least one second future concentration change trend of the urea-formaldehyde product;

[0018] If there is a second future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction temperature is used as the target adjustment temperature;

[0019] The adjustment strategy for urea-formaldehyde product production is determined based on the target adjustment temperature, current reaction time, current reaction pH value and current addition rate.

[0020] Further, after obtaining the second future concentration variation trend of at least one urea-formaldehyde product, the method further comprises:

[0021] If there is no second future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one third future concentration change trend of the urea-formaldehyde product;

[0022] If there is a third future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the first target delivery rate;

[0023] The adjustment strategy for urea-formaldehyde product production is determined based on the first target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

[0024] Further, after calculating the rising rate difference between the first rising rate and the second rising rate, the method further includes:

[0025] If the rising rate difference value does not exceed the preset rising rate difference threshold, determining whether the overall change of the first future concentration change trend is consistent with the overall change of the preset concentration change trend;

[0026] If the overall change of the first future concentration change trend is inconsistent with the overall change of the preset concentration change trend, the target adjustment parameter is determined to be the current reaction pH value or the current delivery rate of each production raw material;

[0027] Continuously adjusting the current reaction pH value according to a preset pH value adjustment step, and continuously inputting the adjusted reaction pH value, current reaction time, current reaction temperature and current dosing rate into a production control model to obtain at least one fourth future concentration change trend of the urea-formaldehyde product;

[0028] If there is a fourth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction pH value is used as the target adjusted pH value;

[0029] Determine an adjustment strategy for urea-formaldehyde product production according to the target adjusted pH value, current reaction time, current reaction temperature, and current dosing rate;

[0030] Accordingly, after obtaining at least one fourth future concentration variation trend of the urea-formaldehyde product, the method further comprises:

[0031] If there is no fourth future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one fifth future concentration change trend of the urea-formaldehyde product;

[0032] If there is a fifth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the second target delivery rate;

[0033] The adjustment strategy for urea-formaldehyde product production is determined based on the second target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

[0034] Further, the production process of the urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, including:

[0035] The production process of the urea-formaldehyde product is adjusted according to the adjustment strategy, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate of each production raw material are continuously obtained and updated, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate are input into the production control model, and the first future concentration change trend of the urea-formaldehyde product is updated;

[0036] If the updated first future concentration change trend is different from the preset concentration change trend, the adjustment strategy for urea-formaldehyde product production is updated according to the first future concentration change trend and the preset concentration change trend, and the production process of the urea-formaldehyde product is adjusted according to the updated adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0037] Further, after adjusting the production process of the urea-formaldehyde product according to the adjustment strategy, the method further includes:

[0038] Obtain system operating parameters and compare them with the corresponding preset safe operating range. If the system operating parameters are not within the preset safe operating range, the system operating parameters that are not within the preset safe operating range are used as target operating parameters, and alarm information is generated according to the target operating parameters, and the alarm information is sent to the control center.

[0039] Furthermore, after adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes:

[0040] The reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product production process are collected, and a second data set is created based on the reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product, and the second data set is stored in the blockchain.

[0041] Furthermore, storing the second data set in a blockchain includes:

[0042] Performing hash processing on the second data set to obtain a hash value of the second data set;

[0043] The hash value is stored in the blockchain through a preset smart contract.

[0044] Furthermore, after adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes:

[0045] Determine whether a preset model update time interval has been reached. If the preset model update time interval has been reached, query a second data set in the blockchain, and update the production control model according to the second data set.

[0046] According to a second aspect of the present application, a urea-formaldehyde product production consistency control system is provided, the system comprising:

[0047] A first data set creation module is used to obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of the urea-formaldehyde product, and the historical concentration change trend of the urea-formaldehyde product, and create a first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend;

[0048] A model training module is used to build a production control model according to a preset model building formula, and train the production control model according to the first data set until the production control model meets the preset model judgment standard; wherein the preset model building formula is:

[0049] ;

[0050] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0051] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; is the reaction order vector of each raw material for producing urea-formaldehyde products;

[0052] A future concentration change trend determination module is used to obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde products, input the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into the production control model, and determine the first future concentration change trend of the urea-formaldehyde product;

[0053] A production control module is used to obtain a preset concentration change trend of a urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, an adjustment strategy for the production of the urea-formaldehyde product is determined based on the first future concentration change trend and the preset concentration change trend, and the production process of the urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0054] In an embodiment of the present application, the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of the urea-formaldehyde product, and historical concentration change trend of the urea-formaldehyde product are obtained, and a first data set is created according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend; a production control model is constructed according to a preset model construction formula, and the production control model is trained according to the first data set until the production control model reaches a preset model judgment standard; wherein the preset model construction formula is:

[0055] ;

[0056] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0057] , R is a vector containing the concentrations of all raw materials used to produce urea-formaldehyde products, is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each production raw material of urea-formaldehyde product; obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde product, input the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into the production control model, and determine the first future concentration change trend of urea-formaldehyde product; obtain the preset concentration change trend of urea-formaldehyde product, if the first future concentration change trend is different from the preset concentration change trend, then determine the adjustment strategy of urea-formaldehyde product production according to the first future concentration change trend and the preset concentration change trend, and adjust the production process of urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard. Through the above-mentioned urea-formaldehyde product production consistency control method, the future concentration change trend of the product is predicted through the production control model. If there is a difference between the prediction and the preset, the production strategy can be adjusted in real time to ensure that the product reaches the preset concentration change target, thereby improving production efficiency, production accuracy and product consistency. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of the method for controlling the production consistency of urea-formaldehyde products provided in Example 1 of the present application;

[0059] Figure 2 It is a schematic diagram of the process of the urea-formaldehyde product production consistency control method provided in Example 2 of the present application;

[0060] Figure 3 It is a flow chart of the method for controlling the production consistency of urea-formaldehyde products provided in Example 3 of the present application;

[0061] Figure 4 It is a structural schematic diagram of the urea-formaldehyde product production consistency control system provided in Example 4 of the present application. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only part of the present application is shown in the accompanying drawings, but not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0063] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0064] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0065] The urea-formaldehyde product production consistency control method provided in the embodiment of the present application is described in detail below through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0066] Embodiment 1: Figure 1 Schematic diagram of the process of the urea-formaldehyde product production consistency control method provided in Example 1 of the present application. Figure 1 As shown, the specific steps include:

[0067] S101, obtaining the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate of each production raw material of the urea-formaldehyde product and the historical concentration change trend of the urea-formaldehyde product, and creating a first data set based on the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate and historical concentration change trend.

[0068] First of all, the usage scenario of this solution can be to input the relevant reaction parameters during the production of urea-formaldehyde products into the constructed production control model to determine the future concentration change trend of the urea-formaldehyde product, and compare it with the preset concentration change trend. If they are different, the adjustment strategy for the production of urea-formaldehyde products is determined, and the production process of urea-formaldehyde products is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0069] Based on the above usage scenarios, it can be understood that the executor of the present application can be a urea-formaldehyde product production consistency control system, and no excessive limitations are made here.

[0070] Urea-formaldehyde products can be a resin produced by the reaction of urea and formaldehyde, which is widely used in the manufacture of adhesives, coatings and wood industries.

[0071] The historical reaction temperature may refer to the reaction temperature data recorded in the previous production process. Specifically, it may include temperature readings at different time points, reflecting the temperature changes in the entire reaction process.

[0072] The historical reaction time may refer to the reaction time data recorded in the previous production process, and specifically, may include various time points from the start to the end of the reaction, reflecting the timeline of the reaction process.

[0073] The historical reaction pH value may refer to the pH value data recorded in the previous production process. Specifically, it may include pH value readings at different time points, reflecting the changes in pH value during the entire reaction process.

[0074] The historical addition rate may refer to the addition rate data of each production raw material recorded in the previous production process. Specifically, it may include the addition rate of each raw material (such as urea and formaldehyde) at different time points, reflecting the addition of raw materials during the reaction process.

[0075] Historical concentration change trends can refer to the concentration changes of the final product recorded in the previous production process. These data include concentration readings at different time points, reflecting the changing trend of product concentration during the reaction process.

[0076] The first data set may be a structured collection of historical reaction temperatures, historical reaction times, historical reaction pH values, historical feed rates of various production raw materials for urea-formaldehyde products, and historical concentration change trends of urea-formaldehyde products. Specifically, it may be stored in the form of a table or database for model training and analysis.

[0077] By integrating monitoring equipment and sensor systems in the production process, the reaction temperature, reaction time, pH value, and the feed rate and concentration changes of each production raw material of the urea-formaldehyde product can be recorded in real time, and the data can be stored in a database. Then, data processing and analysis tools can be used to extract relevant historical data from the database, organize and standardize the data, and finally create a structured first data set containing all key parameters for subsequent model training and production optimization.

[0078] S102, constructing a production control model according to a preset model construction formula, and training the production control model according to the first data set until the production control model meets a preset model determination standard; wherein the preset model construction formula is:

[0079] ;

[0080] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0081] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each raw material for the production of urea-formaldehyde products.

[0082] The formation process of the preset model building formula includes:

[0083] The formation process of the preset model building formula includes:

[0084] Create the reaction rate equation:

[0085] ;

[0086] Where k is the reaction rate constant;

[0087] Create the mass balance equation:

[0088] ;

[0089] Construct the temperature dependence equation:

[0090] ;

[0091] in, is the activation energy; S is the gas constant; T is the absolute temperature;

[0092] Substituting the temperature dependence equation into the mass balance equation yields:

[0093] ;

[0094] Substituting the temperature dependence equation into the above formula yields:

[0095] ;

[0096] Since the reaction rate is affected by the concentration of the reactants in the previous step, and these effects can be described by the matrix A, there is no need to explicitly distinguish between k and A. Therefore, the reaction rate constant k can be associated with the influence factor matrix, expressed as , and the existence of the negative sign does not affect the interpretation of the final result and the correctness of the mathematical operation. When simplifying the model, the negative sign can be removed and substituted into the above formula to obtain the preset model construction formula:

[0097] .

[0098] The process of forming a reaction rate equation includes:

[0099] For each production material , the reaction rate can be expressed as:

[0100] ;

[0101] because , it can be expressed as:

[0102] .

[0103] The formation process of the mass balance equation includes:

[0104] For each production material , the corresponding mass balance equation is:

[0105] ;

[0106] because , it can be expressed as:

[0107] ;

[0108] Since k=A, it can be expressed as:

[0109] .

[0110] The production control model can be a mathematical or computer model used to simulate and predict the effects of various parameters (such as temperature, time, pH value, dosage rate, etc.) on the changes in product concentration during the production process of urea-formaldehyde products.

[0111] The preset model judgment criteria may refer to indicators used to evaluate model performance during model training, such as prediction accuracy, error rate, reaction time, etc. These criteria determine whether the model can accurately simulate the effects of various parameters on concentration changes during the production process of urea-formaldehyde products.

[0112] You can select the model type, for example, a linear regression model can be used to predict simple linear relationships. Nonlinear regression models can be used for complex nonlinear relationships. Machine learning models, such as decision trees, random forests, support vector machines, neural networks, etc., are used to process more complex data patterns and relationships. Then, according to the preset model building formula, the production control model is built with the selected model type, and the model is trained in combination with the historical first data set to ensure that the model can accurately predict future concentration trends. The training process adjusts the model parameters until the prediction accuracy of the model reaches the preset standard, such as the model error is less than a specific threshold. Once the standard is met, the model can be used for actual production control, optimizing the production process and ensuring product consistency.

[0113] S103, obtaining the current reaction temperature, current reaction time, current reaction pH value and current feed rate of each production raw material during the production of urea-formaldehyde product, inputting the current reaction temperature, current reaction time, current reaction pH value and current feed rate into the production control model, and determining the first future concentration change trend of the urea-formaldehyde product.

[0114] The current reaction temperature may be the temperature at which the current reaction is being performed.

[0115] The current reaction time may refer to the reaction time that has elapsed.

[0116] The current reaction pH value may be the acidity or alkalinity of the current reaction environment.

[0117] The current feed rate of each production feedstock may refer to the rate at which each feedstock is being fed into the reactor.

[0118] In the production process of urea-formaldehyde products, the current reaction temperature refers to the temperature when the current reaction is in progress, the current reaction time refers to the reaction time that has elapsed, the current reaction pH value is the acidity and alkalinity of the current reaction environment, and the current feed rate of each production raw material refers to the rate at which each raw material is being fed into the reactor.

[0119] The first future concentration change trend can refer to the change trend of urea-formaldehyde product concentration in the future period predicted by the production control model based on the current reaction conditions (temperature, time, pH value) and raw material delivery rate. This trend can include an increase, stability or decrease in concentration. The production parameters are adjusted according to the prediction of the model to achieve the expected product quality and consistency requirements.

[0120] These parameters can be monitored and recorded in real time using sensors and data acquisition systems. These data are then input into a pre-established production control model, which, based on historical data and preset mathematical formulas, determines the concentration trend of urea-formaldehyde products over a period of time in the future through calculation and prediction.

[0121] S104, obtaining a preset concentration change trend of the urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, determining an adjustment strategy for the production of the urea-formaldehyde product based on the first future concentration change trend and the preset concentration change trend, and adjusting the production process of the urea-formaldehyde product based on the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard.

[0122] The preset concentration change trend may refer to an expected concentration change pattern set according to production requirements and product specifications, usually an ideal production target curve, which describes the expected change in product concentration over time.

[0123] The adjustment strategy may include adjusting the reaction temperature, adjusting the reaction time, optimizing the pH value, and changing the raw material addition rate, aiming to make the actual concentration change trend gradually approach the preset trend.

[0124] The preset production completion standard may refer to the urea-formaldehyde product reaching a specific concentration or quality index, meeting the requirements of product specifications and customer needs.

[0125] Based on the comparison between the first future concentration change trend and the preset concentration change trend, the specific reasons for the difference can be analyzed first, which may include the mismatch of reaction conditions (such as temperature, time, pH) or raw material delivery rate. According to the analysis results, a specific adjustment strategy can be formulated. Specifically, the reaction conditions can be adjusted. If the concentration change rate is too fast or too slow, the reaction temperature, reaction time or the ratio of the reactants can be adjusted. Optimize the raw material delivery. If the raw material delivery rate has a significant effect on the concentration change, it may be necessary to adjust the amount or rate of raw materials. After the adjustment, closely monitor the production process of the product, evaluate the adjustment effect, and iterate the adjustment strategy if necessary until the urea-formaldehyde product reaches the preset production completion standard. This process requires continuous data collection and analysis to ensure the stability of the production process and the consistency of product quality.

[0126] In the embodiment of the present application, the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of the urea-formaldehyde product, and the historical concentration change trend of the urea-formaldehyde product are obtained, and a first data set is created according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend; a production control model is constructed according to a preset model construction formula, and the production control model is trained according to the first data set until the production control model reaches a preset model judgment standard; wherein the preset model construction formula is:

[0127] ;

[0128] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0129] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each production raw material of urea-formaldehyde product; obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde product, input the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into the production control model, and determine the first future concentration change trend of urea-formaldehyde product; obtain the preset concentration change trend of urea-formaldehyde product, if the first future concentration change trend is different from the preset concentration change trend, then determine the adjustment strategy of urea-formaldehyde product production according to the first future concentration change trend and the preset concentration change trend, and adjust the production process of urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard. Through the above-mentioned urea-formaldehyde product production consistency control method, the future concentration change trend of the product is predicted through the production control model. If there is a difference between the prediction and the preset, the production strategy can be adjusted in real time to ensure that the product reaches the preset concentration change target, thereby improving production efficiency, production accuracy and product consistency.

[0130] On the basis of the above technical solution, optionally, the production process of the urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, including:

[0131] The production process of the urea-formaldehyde product is adjusted according to the adjustment strategy, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate of each production raw material are continuously obtained and updated, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate are input into the production control model, and the first future concentration change trend of the urea-formaldehyde product is updated;

[0132] If the updated first future concentration change trend is different from the preset concentration change trend, the adjustment strategy for urea-formaldehyde product production is updated according to the first future concentration change trend and the preset concentration change trend, and the production process of the urea-formaldehyde product is adjusted according to the updated adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0133] In this solution, the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material can be continuously monitored and obtained. The above-obtained current parameters are input into the production control model to calculate and update the first future concentration change trend of the urea-formaldehyde product. The updated first future concentration change trend is compared with the preset concentration change trend. If the updated first future concentration change trend is different from the preset concentration change trend, the adjustment strategy is re-evaluated and updated according to the actual situation. The production process is adjusted accordingly according to the updated adjustment strategy. These adjustments may include adjusting the reaction temperature, adjusting the reaction pH value, adjusting the delivery rate of each production raw material, and adjusting the reaction time. The current production parameters are continuously obtained and updated, and input into the production control model again to obtain a new first future concentration change trend. This cycle will be repeated until the first future concentration change trend is consistent with the preset concentration change trend, ensuring that the urea-formaldehyde product reaches the preset production completion standard. For example, the current reaction temperature: 85°C, the current reaction time: 30 minutes, the current reaction pH value: 8.5, the current delivery rate: formaldehyde 10ml / min, urea 8ml / min. These parameters are input into the model to calculate the first future concentration change trend. If the calculated first future concentration change trend shows that the concentration will increase to 12% in the next 10 minutes, but the preset concentration change trend should be 15%. Update the adjustment strategy based on the difference between the first future concentration change trend and the preset concentration change trend. For example, increase the reaction temperature and urea addition rate. Adjust the reaction temperature to 90°C and the urea addition rate to 10ml / min. Continuously monitor the current parameters and input them into the production control model to recalculate the first future concentration change trend. This process is repeated until the concentration change trend predicted by the model is consistent with the preset trend, ensuring that the urea-formaldehyde product meets the quality requirements.

[0134] In this solution, real-time monitoring and dynamic adjustment ensure that the production process is always optimized and tends to the preset standard, reducing the need for manual monitoring and adjustment, and improving production efficiency and consistency. Through continuous feedback and model prediction, production parameters can be accurately controlled to improve product quality.

[0135] On the basis of the above technical solution, optionally, after adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes:

[0136] The reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product production process are collected, and a second data set is created based on the reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product, and the second data set is stored in the blockchain.

[0137] In this solution, the reaction temperature information may be the reaction temperature data recorded during the production process.

[0138] The reaction time information may be recorded reaction time data.

[0139] The reaction pH value information may be recorded reaction pH value data.

[0140] The information on the delivery rate of each production raw material may be the recorded delivery rate of each production raw material, for example, the delivery rate of raw material A is 10 ml / min, and the delivery rate of raw material B is 20 ml / min.

[0141] The actual concentration variation trend of the urea-formaldehyde product may be the concentration variation actually observed during the production process of the urea-formaldehyde product.

[0142] The second data set may be a data set containing all the above information, which is used for model training and verification.

[0143] Blockchain can be a distributed ledger technology that can ensure the security, integrity and immutability of data. Data is packaged into blocks on the blockchain, and each block is linked to the previous block through cryptographic methods to form a chain structure.

[0144] Information such as reaction temperature, reaction time, reaction pH, the rate of release of each production raw material, and the actual concentration change trend of urea-formaldehyde products can be collected from production equipment and sensors. The collected data is sorted in chronological order to form a structured second data set. Missing values, outliers, and noise in the data are checked and processed. The data is converted into a unified format for easy storage and processing. The second data set is hashed to generate a unique hash value. Common hash algorithms include SHA-256, etc. Create a smart contract that contains the logic of data storage and can record hash values ​​and related metadata. The hash value of the second data set is stored on the blockchain through a smart contract to ensure the security and immutability of the data. Execute the smart contract to store the hash value on the blockchain.

[0145] In this solution, a core advantage of blockchain technology is that once the data is written into the blockchain, it cannot be tampered with, ensuring the integrity and credibility of the production data and preventing the data from being maliciously modified. The production data of each batch is recorded on the blockchain and can be traced back to the detailed information of each production link. This is of great significance for product quality traceability and problem tracking.

[0146] On the basis of the above technical solution, optionally, storing the second data set in a blockchain includes:

[0147] Performing hash processing on the second data set to obtain a hash value of the second data set;

[0148] The hash value is stored in the blockchain through a preset smart contract.

[0149] In this solution, the hash value can be a fixed-length string obtained by processing the input data through a hash function. The hash value has the following characteristics: fixed length, regardless of the length of the input data, the length of the hash value is fixed. Uniqueness, the hash values ​​generated by different input data are unique, even if there is a slight change in the input data, the hash value will be significantly different. Irreversibility, the original input data cannot be reversed from the hash value. Fast calculation, the process of calculating the hash value is fast and efficient.

[0150] A preset smart contract can refer to a contract that is pre-deployed on the blockchain to handle specific tasks. The preset smart contract of this solution is a contract used to receive and store hash values. It has the following characteristics: automatic execution, the contract terms are automatically executed when specific conditions are met, without human intervention. Transparent and tamper-proof, the contract code and execution results are transparent on the blockchain, and once deployed, they cannot be tampered with.

[0151] The second data set can be hashed using a secure hash function to obtain the hash value of the data set. A smart contract is deployed on the blockchain platform, which contains a method for storing the hash value. The storage method of the smart contract is called using the tools provided by the blockchain platform to pass the hash value to the contract. After receiving the hash value, the smart contract stores it on the blockchain. Each storage operation is recorded in the transaction history of the blockchain to ensure that the data is transparent and cannot be tampered with.

[0152] In this scheme, the hash value is a kind of encrypted fingerprint. Any small change to the original data will result in a significant change in the hash value. Storing the hash value on the blockchain can ensure the integrity of the data, that is, the data cannot be tampered with after storage. By recalculating the hash value of the data and comparing it with the hash value stored on the blockchain, it is possible to quickly verify whether the data has been tampered with.

[0153] On the basis of the above technical solution, optionally, after adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes:

[0154] Determine whether a preset model update time interval has been reached. If the preset model update time interval has been reached, query a second data set in the blockchain, and update the production control model according to the second data set.

[0155] In this solution, the preset model update time interval may refer to the time interval for regularly updating the production control model during the production process. This time interval may be determined based on specific production requirements and model performance. For example, it may be set to update once every hour, every day, every week, or every month.

[0156] A reasonable time interval can be determined to update the production control model. This can be determined based on the complexity of the production process, the frequency of data changes, and the requirements for model accuracy. For example, it can be set to update every 24 hours. During the production process, the system needs to constantly monitor the current time and compare it with the time of the last model update. If the current time minus the time of the last model update is greater than or equal to the preset model update time interval, it is considered that the update time interval has been reached. Assume that the update time interval is 24 hours. If the last model update was at 14:00 yesterday and it is now 15:00 today, then it has exceeded 24 hours and the model needs to be updated. Once it is determined that the model needs to be updated, the system will query the stored second data set from the blockchain. The data set in the blockchain has been hashed and stored through smart contracts. These data can be retrieved through the smart contract interface. Specifically, you can connect to the blockchain network, use the smart contract interface to query the latest second data set, and obtain and decode the hashed second data set. The second data set queried from the blockchain is then used to train and update the production control model. Retrain the model based on the new data to ensure that the model can reflect the latest production data and trends. Specifically, the queried second data set can be organized into the format required by the model. Update the production control model using machine learning algorithms and new data sets. Verify the performance of the model through methods such as cross-validation to ensure the accuracy and reliability of the model. After the model update is completed, record the current time as the time of the last model update so that you can check whether the update interval has been reached next time.

[0157] In this solution, by regularly updating the production control model, it can be ensured that the model always reflects the latest production data and trends, improving the model's prediction accuracy and production control efficiency. At the same time, blockchain technology is used to ensure data security and immutability, enhancing data credibility and system reliability.

[0158] Embodiment 2: Figure 2 : is a flow chart of the method for controlling the production consistency of urea-formaldehyde products provided in Example 2 of the present application, such as Figure 2 As shown, the specific method includes the following steps:

[0159] S201, obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate of each production raw material of the urea-formaldehyde product and historical concentration change trend of the urea-formaldehyde product, and create a first data set based on the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate and historical concentration change trend.

[0160] S202, constructing a production control model according to a preset model construction formula, and training the production control model according to the first data set until the production control model meets a preset model determination standard; wherein the preset model construction formula is:

[0161] ;

[0162] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0163] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each raw material for the production of urea-formaldehyde products.

[0164] S203, obtain the current reaction temperature, current reaction time, current reaction pH value and current feed rate of each production raw material during the production of urea-formaldehyde product, input the current reaction temperature, current reaction time, current reaction pH value and current feed rate into the production control model, and determine the first future concentration change trend of the urea-formaldehyde product.

[0165] S204, obtaining a preset concentration change trend of the urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, determining a first rising rate of the peak concentration of the first future concentration change trend, and determining a second rising rate of the peak concentration of the preset concentration change trend, and calculating the rising rate difference between the first rising rate and the second rising rate.

[0166] The peak concentration may be the highest point that the urea-formaldehyde product concentration reaches within a specific time.

[0167] The first rising rate may refer to the rate at which the concentration of the urea-formaldehyde product increases within the first period of time, which is usually expressed by the derivative of the concentration change with respect to time.

[0168] The second rising rate may refer to a rate at which the concentration increases within the same time period in a preset concentration variation trend.

[0169] The rising rate difference value may be the difference between the first rising rate and the second rising rate, and is used to measure the degree of difference between the concentration change in the actual production process and the preset trend.

[0170] The highest peak concentration reached in the prediction can be determined. The concentration change rate within the time range corresponding to the peak concentration, that is, the first rising rate, can be calculated. Specifically, the time point or time range when the peak concentration occurs can be determined, which can be the time period when the concentration begins to rise and reaches the peak value, and the starting concentration and ending concentration corresponding to the peak concentration can be determined. The starting concentration can be the concentration point before the peak concentration or the initial concentration. The time interval within the time range is determined, and the concentration change rate (rising rate) is calculated using the following formula:

[0171] ;

[0172] Determine the highest peak concentration reached in the preset concentration change trend, calculate the concentration change rate within the time range corresponding to the peak concentration, that is, the second rising rate. Compare the first rising rate with the second rising rate, and calculate the difference between them.

[0173] S205: If the rising rate difference value exceeds a preset rising rate difference threshold, the target adjustment parameter is determined to be the current reaction temperature or the current delivery rate of each production raw material.

[0174] The preset rising rate difference threshold may be a preset threshold of concentration change rate difference, which may be set according to production requirements and quality control standards. Exceeding the threshold may indicate problems or instability in the production process.

[0175] The target adjustment parameter can be that if the rising rate difference value exceeds the preset threshold, according to the adjustment strategy, it can be determined to adjust certain parameters in the production process, such as the current reaction temperature or the current delivery rate of each production raw material. The adjustment of these parameters is intended to readjust the production process so that the concentration change conforms to the expected model or standard.

[0176] The concentration change rate of the current urea-formaldehyde product, including the first rising rate corresponding to the peak concentration, can be calculated based on historical data or real-time monitoring. The calculated first rising rate is compared with a preset rising rate difference threshold. If the difference between the first rising rate and the preset threshold exceeds the set threshold, it means that adjustments are needed in the production process to improve the compliance of the concentration change. Based on the production control model and empirical knowledge, the specific parameters that need to be adjusted are determined. These parameters can be the current reaction temperature or the current delivery rate of each production raw material.

[0177] S206, continuously adjust the current reaction temperature according to the preset temperature adjustment step, and continuously input the adjusted reaction temperature, current reaction time, current reaction pH value and current addition rate into the production control model to obtain at least one second future concentration change trend of the urea-formaldehyde product.

[0178] The preset temperature adjustment step may refer to the size or interval of each adjustment of the reaction temperature, and specifically, may be expressed in degrees Celsius (° C.).

[0179] The adjusted reaction temperature may refer to a new reaction temperature value obtained after each adjustment.

[0180] The second future concentration change trend may refer to the change trend of the urea-formaldehyde product concentration over time predicted in the production control model according to the adjusted reaction conditions (including temperature, time, pH value and feed rate, etc.).

[0181] The initial reaction temperature, reaction time, pH value and the rate of delivery of each production raw material can be set. Determine the size or interval of each adjustment of the reaction temperature, such as adjusting ±1°C each time. According to the set step size, the current reaction temperature is continuously adjusted. For example, if the initial reaction temperature is 60°C, it can be adjusted to 61°C or 59°C each time. After each adjustment, the new reaction temperature, current reaction time, current reaction pH value and current delivery rate are recorded. The reaction conditions after each adjustment are input into the pre-built production control model. Based on the new reaction conditions input, the production control model predicts the second future concentration change trend of the urea-formaldehyde product. This can be obtained through model calculations to predict the change in the concentration of the urea-formaldehyde product over time under the new reaction conditions.

[0182] Based on the above technical solution, optionally, after obtaining the second future concentration variation trend of at least one urea-formaldehyde product, the method further includes:

[0183] If there is no second future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one third future concentration change trend of the urea-formaldehyde product;

[0184] If there is a third future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the first target delivery rate;

[0185] The adjustment strategy for urea-formaldehyde product production is determined based on the first target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

[0186] In this solution, the preset step size of adjusting the feeding rate may be a preset step size or interval for adjusting the feeding rate of production raw materials, which is usually used for gradual adjustment to follow a preset concentration change trend.

[0187] The adjusted delivery rates of the various production materials may be delivery rates of the production materials adjusted by a preset step length, and these rates are input into the production control model.

[0188] The third future concentration change trend may be the new concentration change trend of the urea-formaldehyde product predicted by the production control model after adjustment.

[0189] The first target delivery rate may be that if the third future concentration change trend is the same as the preset concentration change trend, the adjusted production raw material delivery rate is the first target delivery rate.

[0190] If there is no second future concentration change trend that is the same as the preset concentration change trend, the step size can be adjusted according to the preset delivery rate to continuously adjust the current delivery rate of each production raw material. The adjusted delivery rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are input into the production control model. At least one third future concentration change trend of the urea-formaldehyde product is predicted according to the production control model. If there is a third future concentration change trend that is the same as the preset concentration change trend, the adjusted delivery rate of each production raw material is used as the first target delivery rate. The first target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value are combined into an adjustment strategy. For example, in the production of urea-formaldehyde products, the current reaction temperature is 80°C, the current reaction time is 2 hours, the current reaction pH value is 7.5, and the current delivery rate of each production raw material is 10kg / h. According to the preset model and the first data set, the current reaction temperature is continuously adjusted to 85°C, and the adjusted temperature, current reaction time, pH value and delivery rate are input into the production control model again. Through this process, we get the second future concentration change trend of the urea-formaldehyde product, assuming that the concentration increases with the increase of temperature. If the second future concentration change trend is consistent with the preset concentration change trend, we will confirm the adjusted temperature as the target adjustment temperature. If there is no second future concentration change trend that is the same as the preset concentration change trend, the release rate of each production raw material will be continuously adjusted according to the preset release rate adjustment step to obtain at least one third future concentration change trend.

[0191] In this solution, the production process can be optimized more accurately by continuously adjusting the dosage rate, so that the concentration change trend of the urea-formaldehyde product is more in line with expectations, thereby improving product quality and consistency.

[0192] Based on the above technical solution, optionally, after calculating the rising rate difference value between the first rising rate and the second rising rate, the method further includes:

[0193] If the rising rate difference value does not exceed the preset rising rate difference threshold, determining whether the overall change of the first future concentration change trend is consistent with the overall change of the preset concentration change trend;

[0194] If the overall change of the first future concentration change trend is inconsistent with the overall change of the preset concentration change trend, the target adjustment parameter is determined to be the current reaction pH value or the current delivery rate of each production raw material;

[0195] Continuously adjusting the current reaction pH value according to a preset pH value adjustment step, and continuously inputting the adjusted reaction pH value, current reaction time, current reaction temperature and current dosing rate into a production control model to obtain at least one fourth future concentration change trend of the urea-formaldehyde product;

[0196] If there is a fourth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction pH value is used as the target adjusted pH value;

[0197] Determine an adjustment strategy for urea-formaldehyde product production according to the target adjusted pH value, current reaction time, current reaction temperature, and current dosing rate;

[0198] Accordingly, after obtaining at least one fourth future concentration variation trend of the urea-formaldehyde product, the method further comprises:

[0199] If there is no fourth future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one fifth future concentration change trend of the urea-formaldehyde product;

[0200] If there is a fifth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the second target delivery rate;

[0201] The adjustment strategy for urea-formaldehyde product production is determined based on the second target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

[0202] In this solution, the overall change situation of the first future concentration change trend may be the overall trend of the first future concentration change trend, that is, the change pattern of the concentration over time.

[0203] The overall change situation of the preset concentration change trend may be the overall trend of the preset concentration change trend, that is, a pre-set ideal or expected concentration change pattern over time.

[0204] The preset pH value adjustment step size may be the step size or interval for adjusting the current reaction pH value, that is, the amplitude or change amount of each adjustment.

[0205] The adjusted reaction pH value may be the pH value of the current reaction system after continuous adjustment.

[0206] The fourth future concentration variation trend may be at least one future concentration variation trend of the urea-formaldehyde product obtained after the adjusted reaction pH value and other parameters are input into the production control model.

[0207] The fifth future concentration change trend may be at least one new future concentration change trend obtained by continuing to adjust the current delivery rate of each production raw material if the fourth future concentration change trend does not conform to the preset concentration change trend.

[0208] The second target delivery rate may be that if there is a fifth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material will be used as the second target delivery rate.

[0209] The rising rate of the first future concentration change trend can be calculated and compared with the preset rising rate. If the difference value does not exceed the preset rising rate difference threshold, the next step of overall change judgment is performed. The overall change pattern of the first future concentration change trend is analyzed and compared with the preset concentration change trend to determine whether the two are consistent. The overall change situation includes trend shape, peak position, rising and falling rates, etc. If the overall change situation is inconsistent, determine the target parameters for adjustment. These parameters can be the current reaction pH value or the current delivery rate of each production raw material. According to the preset pH value adjustment step, the current reaction pH value is continuously adjusted. The adjusted reaction pH value, current reaction time, current reaction temperature and current delivery rate are input into the production control model to obtain the fourth future concentration change trend. Determine whether the fourth future concentration change trend is consistent with the preset concentration change trend. If consistent, the corresponding adjusted reaction pH value is used as the target adjustment pH value. The target adjustment pH value, current reaction time, current reaction temperature and current delivery rate are combined into an adjustment strategy to ensure that the concentration change trend of the product meets the preset standard.

[0210] If there is no fourth future concentration change trend that is the same as the preset concentration change trend, the current delivery rate of each production raw material can be continuously adjusted according to the preset delivery rate adjustment step size. The delivery rate of each production raw material after adjustment, the current reaction temperature, the current reaction pH value and the current reaction time are input into the production control model. Through the production control model calculation, at least one fifth future concentration change trend of the urea-formaldehyde product is obtained. It is determined whether the fifth future concentration change trend is consistent with the preset concentration change trend. If consistent, the delivery rate of each production raw material after the corresponding adjustment is used as the second target delivery rate. The second target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value are combined into an adjustment strategy for the production of urea-formaldehyde products.

[0211] In this solution, multiple feedback and adjustment mechanisms help maintain the stability of the production process, reduce product quality fluctuations, and ensure consistency. By adjusting production parameters in stages and gradually, the concentration trend of urea-formaldehyde products can be accurately controlled to ensure the quality of the final product.

[0212] S207: If there is a second future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction temperature is used as the target adjustment temperature.

[0213] The target adjustment temperature may be a final set reaction temperature corresponding to a second future concentration change trend that is the same as a preset concentration change trend after adjustment during the production process.

[0214] The second future concentration change trend predicted by the production control model can be compared with the preset concentration change trend. If the second future concentration change trend is consistent with the preset concentration change trend, the currently adjusted reaction temperature is used as the target adjustment temperature. The target adjustment temperature is set as the current reaction temperature to ensure that the production process continues at this set temperature.

[0215] S208, determining an adjustment strategy for the production of urea-formaldehyde products according to the target adjustment temperature, current reaction time, current reaction pH value and current delivery rate, and adjusting the production process of urea-formaldehyde products according to the adjustment strategy until the urea-formaldehyde products reach preset production completion standards.

[0216] The target adjustment temperature, the current reaction time, the current reaction pH value and the current addition rate can be combined into an adjustment strategy for the production of urea-formaldehyde products.

[0217] In this embodiment, the use of real-time data and production control models to continuously monitor and adjust production parameters can quickly respond to changes in the production process, thereby improving production efficiency and product quality. By predicting and adjusting, the concentration change trend of each batch of products is ensured to be as close to the preset standard as possible, which can improve the overall production consistency and stability.

[0218] Embodiment three: Figure 3 : is a flow chart of the method for controlling the production consistency of urea-formaldehyde products provided in Example 3 of the present application, such as Figure 3 As shown, the specific method includes the following steps:

[0219] S301, obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate of each production raw material of the urea-formaldehyde product and the historical concentration change trend of the urea-formaldehyde product, and create a first data set based on the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate and historical concentration change trend.

[0220] S302, constructing a production control model according to a preset model construction formula, and training the production control model according to the first data set until the production control model meets a preset model determination standard; wherein the preset model construction formula is:

[0221] ;

[0222] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0223] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each raw material for the production of urea-formaldehyde products.

[0224] S303, obtain the current reaction temperature, current reaction time, current reaction pH value and current feed rate of each production raw material during the production of urea-formaldehyde product, input the current reaction temperature, current reaction time, current reaction pH value and current feed rate into the production control model, and determine the first future concentration change trend of the urea-formaldehyde product.

[0225] S304, obtaining a preset concentration change trend of the urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, determining an adjustment strategy for the production of the urea-formaldehyde product based on the first future concentration change trend and the preset concentration change trend, and adjusting the production process of the urea-formaldehyde product based on the adjustment strategy.

[0226] S305, obtaining system operating parameters and comparing them with the corresponding preset safe operating range. If the system operating parameters are not within the preset safe operating range, the system operating parameters that are not within the preset safe operating range are used as target operating parameters, and an alarm message is generated according to the target operating parameter. The alarm message is sent to the control center until the urea-formaldehyde product reaches the preset production completion standard.

[0227] System operating parameters can refer to key variables or indicators monitored in the system, such as temperature, pressure, pH value, flow, current, voltage, etc. These parameters reflect the current state of the system.

[0228] The corresponding preset safe operating range may be the allowable value range set for each system operating parameter to ensure that the system operates in a safe and efficient state. For example, the preset safe operating range of the reaction temperature may be 80-90°C, and the preset safe operating range of the pH value may be 6.5-7.5.

[0229] The target operating parameters can be the parameters that are currently outside the preset safe operating range. For example, if the reaction temperature is higher than 90°C or the pH value is lower than 6.5, then these parameters are the target operating parameters.

[0230] Alarm information can refer to notifications or alarms generated by the system, including which parameters are out of safe operating range and the specific values. For example: "Alarm: The reaction temperature is out of safe range, the current temperature is 95°C".

[0231] The control center can be a place responsible for monitoring, receiving alarm information and making necessary interventions or adjustments. It can be an operation room, control room or monitoring system platform, usually with people or automated systems for real-time monitoring and response.

[0232] The system can obtain the current operating parameters in real time through sensors or other monitoring devices. For example, the current reaction temperature is 95°C and the current pH value is 8.0. Compare the current operating parameters with the preset safe operating range, for example, the preset reaction temperature safety range is 80-90°C and the pH value safety range is 6.5-7.5. Identify which parameters are not within the preset safe operating range, for example, the reaction temperature of 95°C exceeds the preset range (80-90°C). The system generates detailed alarm information, including the out-of-range parameters and their current values, for example, the alarm information is "Alarm: Reaction temperature is out of safety range, current temperature is 95°C". The alarm information is then sent to the control center to ensure that relevant personnel or automation systems can respond in time. For example, the control center receives the alarm information and processes it, such as adjusting the temperature control system or performing emergency shutdown processing.

[0233] In this embodiment, by acquiring system operating parameters in real time, potential problems can be discovered in a timely manner. Timely generation and sending of alarm information helps prevent system failures and accidents. The automated alarm and sending mechanism improves response speed and reduces the pressure of manual monitoring.

[0234] Embodiment 4: Figure 4 Schematic diagram of a urea-formaldehyde product production consistency control system provided in Example 4 of the present application. Figure 4 As shown, the system is used to implement a urea-formaldehyde product production consistency control system method provided in embodiments 1, 2, and 3, and the system specifically includes the following:

[0235] The first data set creation module 401 is used to obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate of each production raw material of the urea-formaldehyde product, and the historical concentration change trend of the urea-formaldehyde product, and create the first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical feed rate, and historical concentration change trend;

[0236] The model training module 402 is used to build a production control model according to a preset model building formula, and train the production control model according to the first data set until the production control model meets the preset model judgment standard; wherein the preset model building formula is:

[0237] ;

[0238] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0239] , R is a vector containing the concentrations of all raw materials used to produce urea-formaldehyde products, is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; is the reaction order vector of each raw material for producing urea-formaldehyde products;

[0240] The future concentration change trend determination module 403 is used to obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde products, input the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into the production control model, and determine the first future concentration change trend of the urea-formaldehyde product;

[0241] The production control module 404 is used to obtain a preset concentration change trend of the urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, an adjustment strategy for the production of the urea-formaldehyde product is determined based on the first future concentration change trend and the preset concentration change trend, and the production process of the urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

[0242] In the embodiment of the present application, the first data set creation module is used to obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of the urea-formaldehyde product, and the historical concentration change trend of the urea-formaldehyde product, and create the first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend; the model training module is used to build a production control model according to a preset model building formula, and train the production control model according to the first data set until the production control model reaches the preset model judgment standard; wherein the preset model building formula is:

[0243] ;

[0244] in, is the change of the concentration R of urea-formaldehyde product with time t;

[0245] , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; It is the reaction order vector of each production raw material of urea-formaldehyde product; the future concentration change trend determination module is used to obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde product, and the current reaction temperature, current reaction time, current reaction pH value and current delivery rate are input into the production control model to determine the first future concentration change trend of urea-formaldehyde product; the production control module is used to obtain the preset concentration change trend of urea-formaldehyde product. If the first future concentration change trend is different from the preset concentration change trend, the adjustment strategy for the production of urea-formaldehyde product is determined according to the first future concentration change trend and the preset concentration change trend, and the production process of urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard. Through the above-mentioned urea-formaldehyde product production consistency control system, the future concentration change trend of the product is predicted through the production control model. If there is a difference between the prediction and the preset, the production strategy can be adjusted in real time to ensure that the product reaches the preset concentration change target, thereby improving production efficiency, production accuracy and product consistency.

[0246] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for controlling the production consistency of urea-formaldehyde products, characterized in that: The method comprises: Obtaining historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of urea-formaldehyde product, and historical concentration change trend of urea-formaldehyde product, and creating a first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend; A production control model is constructed according to a preset model construction formula, and the production control model is trained according to the first data set until the production control model reaches a preset model determination standard; wherein the preset model construction formula is: ； in, is the change of the concentration R of urea-formaldehyde product with time t; , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates production materials[ ] on the reaction rate; is the reaction order vector of each raw material for producing urea-formaldehyde products; Obtaining the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde products, inputting the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into a production control model, and determining the first future concentration change trend of the urea-formaldehyde product; Obtaining a preset concentration change trend of the urea-formaldehyde product, if the first future concentration change trend is different from the preset concentration change trend, determining an adjustment strategy for the production of the urea-formaldehyde product according to the first future concentration change trend and the preset concentration change trend, and adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard; wherein, the method includes determining a first rising rate of the peak concentration of the first future concentration change trend, and determining a second rising rate of the peak concentration of the preset concentration change trend, and calculating a rising rate difference value between the first rising rate and the second rising rate; If the rising rate difference value exceeds the preset rising rate difference threshold, the target adjustment parameter is determined to be the current reaction temperature or the current delivery rate of each production raw material; Continuously adjusting the current reaction temperature according to a preset temperature adjustment step, and continuously inputting the adjusted reaction temperature, current reaction time, current reaction pH value, and current dosing rate into a production control model to obtain at least one second future concentration change trend of the urea-formaldehyde product; If there is a second future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction temperature is used as the target adjustment temperature; The adjustment strategy for urea-formaldehyde product production is determined based on the target adjustment temperature, current reaction time, current reaction pH value and current addition rate.

2. The method for controlling the production consistency of urea-formaldehyde products according to claim 1, characterized in that: After obtaining a second future concentration variation trend of at least one urea-formaldehyde product, the method further comprises: If there is no second future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one third future concentration change trend of the urea-formaldehyde product; If there is a third future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the first target delivery rate; The adjustment strategy for urea-formaldehyde product production is determined based on the first target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

3. The method for controlling the production consistency of urea-formaldehyde products according to claim 1, characterized in that: After calculating the rising rate difference value between the first rising rate and the second rising rate, the method further includes: If the rising rate difference value does not exceed the preset rising rate difference threshold, determining whether the overall change of the first future concentration change trend is consistent with the overall change of the preset concentration change trend; If the overall change of the first future concentration change trend is inconsistent with the overall change of the preset concentration change trend, the target adjustment parameter is determined to be the current reaction pH value or the current delivery rate of each production raw material; Continuously adjusting the current reaction pH value according to a preset pH value adjustment step, and continuously inputting the adjusted reaction pH value, current reaction time, current reaction temperature and current dosing rate into a production control model to obtain at least one fourth future concentration change trend of the urea-formaldehyde product; If there is a fourth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction pH value is used as the target adjusted pH value; Determine an adjustment strategy for urea-formaldehyde product production according to the target adjusted pH value, current reaction time, current reaction temperature, and current dosing rate; Accordingly, after obtaining at least one fourth future concentration variation trend of the urea-formaldehyde product, the method further comprises: If there is no fourth future concentration change trend that is the same as the preset concentration change trend, the current feed rate of each production raw material is continuously adjusted according to the preset feed rate adjustment step, and the adjusted feed rate of each production raw material, the current reaction temperature, the current reaction pH value and the current reaction time are continuously input into the production control model to obtain at least one fifth future concentration change trend of the urea-formaldehyde product; If there is a fifth future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted delivery rate of each production raw material is used as the second target delivery rate; The adjustment strategy for urea-formaldehyde product production is determined based on the second target delivery rate, the current adjustment temperature, the current reaction time and the current reaction pH value.

4. The method for controlling the production consistency of urea-formaldehyde products according to claim 1, characterized in that: The production process of the urea-formaldehyde product is adjusted according to the adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard, including: The production process of the urea-formaldehyde product is adjusted according to the adjustment strategy, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate of each production raw material are continuously obtained and updated, the current reaction temperature, the current reaction time, the current reaction pH value and the current delivery rate are input into the production control model, and the first future concentration change trend of the urea-formaldehyde product is updated; If the updated first future concentration change trend is different from the preset concentration change trend, the adjustment strategy for urea-formaldehyde product production is updated according to the first future concentration change trend and the preset concentration change trend, and the production process of the urea-formaldehyde product is adjusted according to the updated adjustment strategy until the urea-formaldehyde product reaches the preset production completion standard.

5. The method for controlling the production consistency of urea-formaldehyde products according to claim 1, characterized in that: After adjusting the production process of the urea-formaldehyde product according to the adjustment strategy, the method further includes: Obtain system operating parameters and compare them with the corresponding preset safe operating range. If the system operating parameters are not within the preset safe operating range, the system operating parameters that are not within the preset safe operating range are used as target operating parameters, and alarm information is generated according to the target operating parameters, and the alarm information is sent to the control center.

6. The method for controlling the production consistency of urea-formaldehyde products according to claim 1, characterized in that: After adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes: The reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product production process are collected, and a second data set is created based on the reaction temperature information, reaction time information, reaction pH value information, feed rate information of each production raw material and actual concentration change trend of the urea-formaldehyde product, and the second data set is stored in the blockchain.

7. The method for controlling the production consistency of urea-formaldehyde products according to claim 6, characterized in that: Storing the second data set in a blockchain includes: Performing hash processing on the second data set to obtain a hash value of the second data set; The hash value is stored in the blockchain through a preset smart contract.

8. The method for controlling the production consistency of urea-formaldehyde products according to claim 6, characterized in that: After adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard, the method further includes: Determine whether a preset model update time interval has been reached. If the preset model update time interval has been reached, query a second data set in the blockchain, and update the production control model according to the second data set.

9. A urea-formaldehyde product production consistency control system, characterized in that: The system comprises: A first data set creation module is used to obtain the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate of each production raw material of the urea-formaldehyde product, and the historical concentration change trend of the urea-formaldehyde product, and create a first data set according to the historical reaction temperature, historical reaction time, historical reaction pH value, historical delivery rate, and historical concentration change trend; A model training module is used to build a production control model according to a preset model building formula, and train the production control model according to the first data set until the production control model meets the preset model judgment standard; wherein the preset model building formula is: ； in, is the change of the concentration R of urea-formaldehyde product with time t; , R is the set of vectors containing the concentrations of all raw materials for urea-formaldehyde products. is the vector of the concentration of each raw material for urea-formaldehyde products; A is the N*N influencing factor matrix, whose elements Indicates the production raw materials[ ] on the reaction rate; is the reaction order vector of each raw material for producing urea-formaldehyde products; A future concentration change trend determination module is used to obtain the current reaction temperature, current reaction time, current reaction pH value and current delivery rate of each production raw material during the production of urea-formaldehyde products, input the current reaction temperature, current reaction time, current reaction pH value and current delivery rate into the production control model, and determine the first future concentration change trend of the urea-formaldehyde product; A production control module, for obtaining a preset concentration change trend of a urea-formaldehyde product, and if the first future concentration change trend is different from the preset concentration change trend, determining an adjustment strategy for the production of the urea-formaldehyde product according to the first future concentration change trend and the preset concentration change trend, and adjusting the production process of the urea-formaldehyde product according to the adjustment strategy until the urea-formaldehyde product reaches a preset production completion standard; wherein, the module includes determining a first rising rate of a peak concentration of the first future concentration change trend, and determining a second rising rate of a peak concentration of the preset concentration change trend, and calculating a rising rate difference value between the first rising rate and the second rising rate; If the rising rate difference value exceeds the preset rising rate difference threshold, the target adjustment parameter is determined to be the current reaction temperature or the current delivery rate of each production raw material; Continuously adjusting the current reaction temperature according to a preset temperature adjustment step, and continuously inputting the adjusted reaction temperature, current reaction time, current reaction pH value, and current dosing rate into a production control model to obtain at least one second future concentration change trend of the urea-formaldehyde product; If there is a second future concentration change trend that is the same as the preset concentration change trend, the corresponding adjusted reaction temperature is used as the target adjustment temperature; The adjustment strategy for urea-formaldehyde product production is determined based on the target adjustment temperature, current reaction time, current reaction pH value and current addition rate.

Images