Temperature control method and system for urea catalytic hydrolysis ammonia preparation process
By building a temperature prediction model and performing difference analysis, the working conditions of the temperature control device were optimized, which solved the problem of inconsistent temperature in the urea catalytic hydrolysis ammonia production process, achieved an efficient and stable ammonia production reaction, and reduced energy consumption.
Patent Information
- Application Number
- CN202510756346.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-06
- Publication Date
- 2025-09-19
AI Technical Summary
In the urea catalytic hydrolysis ammonia production process, the temperature of the high-temperature flue gas discharged from the boiler is inconsistent with the optimal temperature required for the ammonia production reaction, resulting in unstable reaction efficiency and product quality, and high energy consumption.
By building a temperature prediction model and using a neural network model to predict the high-temperature flue gas temperature, combined with difference analysis and adjustment coefficients, the working conditions of the temperature control device are optimized to ensure that the ammonia production process temperature is always within the optimal range.
It achieves precise control of high-temperature flue gas temperature, improves the efficiency of ammonia production reaction and product quality, reduces energy waste, lowers production costs, and improves the degree of automation of the production process.
Smart Images
Figure CN120669794A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of temperature control, and in particular to a temperature control method and system for a process for producing ammonia by catalytic hydrolysis of urea. Background Art
[0002] In the urea catalytic hydrolysis process to produce ammonia, temperature is a crucial parameter, directly affecting the reaction rate, ammonia production efficiency, and product quality. Urea requires a certain temperature for rapid hydrolysis. To conserve energy and reduce consumption, high-temperature flue gas from boilers is typically used for heating.
[0003] However, the temperature of the high-temperature flue gas discharged from the boiler is relatively high, which is inconsistent with the optimal temperature required for the ammonia production process. In order to ensure that the ammonia production reaction can proceed under optimal temperature conditions, a temperature control method is needed to adjust and control the temperature of the high-temperature flue gas so that the ammonia production reaction can proceed under optimal temperature conditions. Summary of the Invention
[0004] In order to solve the above technical problems, the present invention provides a temperature control method and system for a urea catalytic hydrolysis ammonia production process, comprising: Obtain historical temperature data of high-temperature flue gas discharged from the boiler, analyze the historical temperature data, and determine the characteristic parameters that affect the temperature of the high-temperature flue gas; Building a temperature prediction model based on characteristic parameters and a preset data network model, and predicting the temperature prediction data of high-temperature flue gas according to the temperature prediction model; Determine the optimal temperature value for the urea catalytic hydrolysis ammonia production process, perform difference analysis between the optimal temperature value and the temperature prediction data, and determine the temperature difference characteristics; Evaluate the degree of temperature difference based on the temperature difference characteristics to obtain a temperature difference degree evaluation value, and determine an adjustment coefficient based on the temperature difference degree evaluation value; The working conditions of the temperature regulating device are adjusted according to the adjustment coefficient, and the temperature regulating device controls the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.
[0005] Furthermore, the acquisition of historical temperature data of the high-temperature flue gas discharged from the boiler and analysis of the historical temperature data to determine characteristic parameters affecting the temperature of the high-temperature flue gas include: Obtain historical temperature data of high-temperature flue gas discharged from the boiler and historical operation data of the boiler, and divide the data in the historical operation data into several parameter data groups according to parameter type; The correlation between each parameter data group and the historical temperature data is analyzed, and the parameters corresponding to the parameter data groups whose correlation exceeds the preset value are determined as characteristic parameters affecting the high-temperature flue gas temperature.
[0006] Furthermore, the temperature prediction model is constructed based on the characteristic parameters and the preset data network model, and the temperature prediction data of the high-temperature flue gas is predicted according to the temperature prediction model, including: A data set is constructed based on characteristic parameters and historical temperature data, and the data set is input into a preset neural network model to construct an initial model for temperature prediction of high-temperature flue gas; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial temperature prediction model; The temperature prediction initial model is trained and tested until the temperature prediction initial model meets the preset convergence conditions, thereby obtaining a temperature prediction model; The real-time operation data of the boiler is obtained and input into the temperature prediction model. The temperature prediction model performs prediction to obtain the temperature prediction data of the high-temperature flue gas.
[0007] Furthermore, the determining of the optimal temperature value of the urea catalytic hydrolysis ammonia production process, and performing a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics include: Determine the optimal temperature value in the process of urea catalytic hydrolysis to produce ammonia, and determine each temperature value in the temperature prediction data; Calculating the difference between each temperature value in the temperature prediction data and the optimal temperature value to obtain a plurality of temperature difference values, and drawing a temperature difference curve based on the plurality of temperature difference values; Determine peak points and valley points in the temperature difference curve, and divide the temperature curve into a plurality of curve segments based on the peak points and valley points; An average value of each curve segment is calculated and determined as the temperature difference feature.
[0008] Furthermore, the step of evaluating the degree of temperature difference based on the temperature difference feature to obtain a temperature difference degree evaluation value includes: Obtain the average value of each curve segment, and evaluate the average value of each curve segment to obtain the temperature difference evaluation value of each curve segment; The average value of the temperature difference evaluation value of each curve segment is calculated, and the average value is used as the temperature difference degree evaluation value.
[0009] Furthermore, determining the adjustment coefficient according to the temperature difference evaluation value includes: The correspondence between the adjustment coefficient and the temperature difference evaluation value interval is pre-set. For each temperature difference evaluation value interval, a corresponding adjustment coefficient is associated; Obtain a temperature difference evaluation value, and based on the mapping relationship between the temperature difference evaluation value interval to which the temperature difference evaluation value belongs and the adjustment coefficient corresponding to the temperature difference evaluation value interval, select the adjustment coefficient corresponding to the temperature difference evaluation value interval as the corresponding adjustment coefficient.
[0010] Furthermore, the operating conditions of the temperature regulating device are adjusted according to the adjustment coefficient, and the temperature regulating device controls the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted operating conditions, including: Multiplying the adjustment coefficient by each preset parameter value in the working condition of the temperature adjustment device, and using each parameter value obtained by calculation as the working condition of the temperature adjustment device after adjustment; The temperature regulating device controls the temperature during the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.
[0011] The present invention also provides a temperature control system for a process for producing ammonia by catalytic hydrolysis of urea, comprising: An acquisition module is used to acquire historical temperature data of high-temperature flue gas discharged from the boiler, analyze the historical temperature data, and determine characteristic parameters that affect the temperature of the high-temperature flue gas; A prediction module is used to build a temperature prediction model based on characteristic parameters and a preset data network model, and predict the temperature prediction data of the high-temperature flue gas according to the temperature prediction model; An analysis module is used to determine the optimal temperature value for the urea catalytic hydrolysis ammonia production process, and to perform a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics; An evaluation module is used to evaluate the degree of temperature difference based on the temperature difference characteristics, obtain a temperature difference degree evaluation value, and determine an adjustment coefficient according to the temperature difference degree evaluation value; The control module is used to adjust the working conditions of the temperature regulating device according to the adjustment coefficient, and the temperature regulating device controls the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.
[0012] Compared with the prior art, the temperature control method and system for a process for producing ammonia by catalytic hydrolysis of urea according to the embodiment of the present invention have the following advantages: The present invention can accurately predict the temperature of high-temperature flue gas by constructing a temperature prediction model. Combined with difference analysis and adjustment coefficient determination, it can optimize the adjustment of the temperature adjustment device, ensuring that the temperature in the urea catalytic hydrolysis ammonia production process always remains near the optimal value, thereby improving process stability and efficiency. By evaluating and adjusting temperature differences, the present invention can effectively reduce the impact of temperature fluctuations of high-temperature flue gas on the ammonia production process, improve production efficiency and output stability, and accurate temperature control helps maximize the efficiency and production capacity of the ammonia production reaction; The present invention maintains the high-temperature flue gas temperature within an optimal range, which helps to ensure the stable quality of the product of the ammonia production reaction. The precise control of the temperature can reduce the generation of undesirable reaction products, thereby improving the purity and quality of the product. The present invention can reduce energy waste and heat loss by accurately controlling the temperature of high-temperature flue gas, improve energy utilization efficiency, and the optimized temperature regulation system can reduce energy consumption and save production costs; Based on the temperature prediction model and adjustment coefficient, the present invention can realize the automatic control of the temperature adjustment device, monitor the temperature changes in real time and make timely adjustments, thereby improving the automation level and response speed of the production process; In summary, the present invention, through the application of the above-mentioned technical process, can achieve precise control and optimization of the high-temperature flue gas temperature in the ammonia production process, thereby improving production efficiency, product quality and energy utilization efficiency, while reducing production costs and environmental impact. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] Figure 1 1 is a schematic diagram of the flow structure of a temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to an embodiment of the present invention; Figure 2 Schematic diagram of the temperature control system of the process for producing ammonia by catalytic hydrolysis of urea in an embodiment of the present invention. DETAILED DESCRIPTION
[0014] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0015] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on this application.
[0016] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature specified with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.
[0017] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Persons of ordinary skill in the art will understand the specific meanings of the above terms in this application based on specific circumstances.
[0018] like Figure 1 As shown, in an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, including: S100: obtaining historical temperature data of high-temperature flue gas discharged from a boiler, and analyzing the historical temperature data to determine characteristic parameters that affect the temperature of the high-temperature flue gas; S200: constructing a temperature prediction model based on the characteristic parameters and a preset data network model, and predicting the temperature prediction data of the high-temperature flue gas according to the temperature prediction model; S300: determining the optimal temperature value of the urea catalytic hydrolysis ammonia production process, and performing a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics; S400: evaluating the degree of temperature difference based on the temperature difference characteristics to obtain a temperature difference degree evaluation value, and determining an adjustment coefficient based on the temperature difference degree evaluation value; S500: adjusting the working conditions of the temperature adjustment device according to the adjustment coefficient, and the temperature adjustment device controls the temperature during the urea catalytic hydrolysis ammonia production process according to the adjusted working conditions.
[0019] Furthermore, the present invention can accurately predict the temperature of high-temperature flue gas by constructing a temperature prediction model. Combined with difference analysis and adjustment coefficient determination, it can achieve optimal adjustment of the temperature regulating device, ensuring that the temperature in the process of urea catalytic hydrolysis to produce ammonia is always maintained near the optimal value, thereby improving process stability and efficiency; the present invention can effectively reduce the impact of temperature fluctuations of high-temperature flue gas on the ammonia production process by evaluating and adjusting temperature differences, thereby improving production efficiency and output stability, and accurate temperature control helps to maximize the efficiency and production capacity of the ammonia production reaction; the present invention keeps the high-temperature flue gas temperature within the optimal range, which helps to ensure the stable product quality of the ammonia production reaction, and precise temperature control can reduce The generation of undesirable reaction products is reduced, thereby improving the purity and quality of the product; the present invention can reduce energy waste and heat loss and improve energy utilization efficiency by precisely controlling the temperature of high-temperature flue gas, and the optimized temperature regulation system can reduce energy consumption and save production costs; the present invention is based on the temperature prediction model and the regulation coefficient, which can realize the automatic control of the temperature regulation device, monitor the temperature change in real time and make timely adjustments, thereby improving the degree of automation and response speed of the production process; in summary, the present invention can realize the precise control and optimization of the high-temperature flue gas temperature in the ammonia production process through the application of the above-mentioned technical process, thereby improving production efficiency, product quality and energy utilization efficiency, while reducing production costs and environmental impact.
[0020] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, wherein historical temperature data of high-temperature flue gas discharged from a boiler is obtained, and the historical temperature data is analyzed to determine characteristic parameters affecting the temperature of the high-temperature flue gas, including: obtaining historical temperature data of the high-temperature flue gas discharged from the boiler and historical operation data of the boiler, and dividing the data in the historical operation data into several parameter data groups according to parameter type; analyzing the correlation between each parameter data group and the historical temperature data, and determining the parameters corresponding to the parameter data group whose correlation exceeds a preset value as the characteristic parameters affecting the temperature of the high-temperature flue gas.
[0021] Specifically, historical temperature data of the high-temperature flue gas discharged from the boiler and historical operating data of the boiler are collected, and the historical operating data are divided into several parameter data groups according to parameter type (such as fuel supply, combustion temperature, air volume, etc.) for subsequent analysis; a correlation analysis is performed on each parameter data group and the historical temperature data, and the correlation coefficient statistical method is used to calculate the correlation; parameter data groups with correlations exceeding preset values are identified. These parameters are considered to have a significant correlation with the high-temperature flue gas temperature and are characteristic parameters affecting the high-temperature flue gas temperature; the parameters corresponding to the parameter data groups with correlations exceeding the preset values are determined as characteristic parameters affecting the high-temperature flue gas temperature. These characteristic parameters may include factors that affect the boiler combustion efficiency, heat release, air flow, etc., and have a significant impact on the high-temperature flue gas temperature. Through correlation analysis, this step can accurately identify characteristic parameters related to the high-temperature flue gas temperature, avoid unnecessary parameter interference, improve the accuracy and effectiveness of feature selection, and provide a scientific basis for regulating the high-temperature flue gas temperature in the ammonia production process, thereby improving production efficiency, product quality, and equipment stability.
[0022] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, wherein a temperature prediction model is constructed based on characteristic parameters and a preset data network model, and temperature prediction data of high-temperature flue gas is predicted according to the temperature prediction model, including: constructing a data set based on the characteristic parameters and historical temperature data, and inputting the data set into a preset neural network model to construct an initial temperature prediction model for high-temperature flue gas; dividing the data set into a training set and a test set according to a certain ratio, and inputting the training set and the test set into the initial temperature prediction model; training and testing the initial temperature prediction model until the initial temperature prediction model meets the preset convergence condition to obtain a temperature prediction model; obtaining real-time operation data of the boiler, and inputting the real-time operation data into the temperature prediction model, and having the temperature prediction model perform prediction to obtain temperature prediction data of the high-temperature flue gas.
[0023] Specifically, a data set is constructed based on characteristic parameters and historical temperature data, and the data set includes characteristic parameters and corresponding high-temperature flue gas temperature data; the data set is input into a preset neural network model to build an initial model for temperature prediction of high-temperature flue gas, and the neural network model can be used to learn the complex nonlinear relationship between characteristic parameters and high-temperature flue gas temperature; the data set is divided into training set and test set according to a certain ratio, usually using a ratio of 70% training set and 30% test set; the divided training set and test set are input into the initial temperature prediction model, and the model is trained and tested until the model meets the preset convergence conditions to obtain a temperature prediction model for high-temperature flue gas; the real-time operation data of the boiler, including characteristic parameters and other information, is obtained, and the real-time operation data is input into the trained temperature prediction model, and the model is used for prediction to obtain temperature prediction data of high-temperature flue gas. The real-time prediction model can monitor the changing trend of high-temperature flue gas temperature in real time, provide reference for operation personnel, and help adjust the operation status of the boiler. This step, based on the training and optimization of the neural network model, can construct an efficient high-temperature flue gas temperature prediction model that can accurately predict changes in high-temperature flue gas temperature. Using the real-time prediction model, changes in high-temperature flue gas temperature can be monitored in real time, allowing boiler operating parameters to be adjusted promptly to maintain the high-temperature flue gas temperature within a reasonable range, thereby improving the stability and efficiency of boiler operation. Through the above process, accurate prediction and real-time monitoring of the boiler's high-temperature flue gas temperature can be achieved, providing a scientific basis for boiler operation and improving production efficiency and equipment stability.
[0024] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, which determines the optimal temperature value of the urea catalytic hydrolysis ammonia production process, performs a difference analysis between the optimal temperature value and temperature prediction data, and determines a temperature difference characteristic, including: determining the optimal temperature value in the urea catalytic hydrolysis ammonia production process, and determining each temperature value in the temperature prediction data; performing a difference calculation between each temperature value in the temperature prediction data and the optimal temperature value to obtain a plurality of temperature difference values, and drawing a temperature difference curve based on the plurality of temperature difference values; determining peak points and valley points in the temperature difference curve, and dividing the temperature curve into a plurality of curve segments based on the peak points and valley points; calculating the average value of each curve segment, and determining the average value of each curve segment as the temperature difference characteristic.
[0025] Specifically, experimental analysis is used to determine the optimal temperature in the urea catalytic hydrolysis ammonia production process, which is a key parameter for achieving optimal reaction efficiency and yield in the process. Each temperature value in the temperature prediction data is subtracted from the optimal temperature value to obtain several temperature differences. Based on these temperature differences, a temperature difference curve is plotted, reflecting the deviation between the predicted temperature and the optimal temperature value. Peak points and valley points in the temperature difference curve are identified, representing areas with large and small temperature deviations. The temperature difference curve is divided into several curve segments based on the peak and valley points, each representing a specific temperature fluctuation range. The temperature values of each curve segment are averaged, and the average value of each curve segment is determined as the temperature difference characteristic of the interval. These temperature difference characteristics reflect the fluctuation between the predicted temperature and the optimal temperature value, helping to understand the impact of temperature changes on process performance. This step, by analyzing the temperature difference curve and temperature difference characteristics, can help optimize process control, adjust process parameters to approach the optimal temperature value, and improve ammonia production efficiency and quality. The temperature difference characteristics provide a quantitative description of temperature changes, providing data support for managers to make reasonable decisions and adjust process plans. Through the above process, we can gain an in-depth understanding of the impact of temperature changes on the process, and provide scientific basis and data support to optimize process control, improve production efficiency and product quality.
[0026] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, wherein the degree of temperature difference is evaluated based on the temperature difference characteristics to obtain a temperature difference degree evaluation value, including: obtaining an average value of each curve segment, and evaluating the average value of each curve segment to obtain a temperature difference evaluation value of each curve segment; calculating the average value of the temperature difference evaluation value of each curve segment, and using the average value as the temperature difference degree evaluation value.
[0027] Specifically, the average value of each curve segment is obtained, representing the average level of temperature fluctuation within that interval. By comparing each segment's average value with the optimal temperature value, the degree of temperature deviation within that interval can be assessed. The average value of each curve segment is evaluated to obtain a temperature difference assessment value for each curve segment, which reflects the degree of temperature fluctuation within the interval. The temperature difference assessment value is a quantitative indicator used to describe the magnitude and direction of temperature deviation. The average of the temperature difference assessment values for all curve segments is calculated and used as the overall temperature difference assessment value, which reflects the overall temperature fluctuation. This step, by evaluating and calculating the average value of each curve segment, produces a more comprehensive and detailed temperature difference assessment value that more accurately reflects temperature fluctuations. The temperature difference assessment value provides a comprehensive assessment of temperature fluctuations throughout the entire process, providing important reference for managers to formulate adjustment measures and improvement plans. This detailed assessment of temperature differences can help improve process stability and controllability, ensuring product quality and production efficiency. Through the above process, a comprehensive assessment of temperature fluctuations in the process can be achieved, providing important data support for process optimization and control, and helping to improve production efficiency and product quality.
[0028] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, wherein the method determines an adjustment coefficient based on a temperature difference degree evaluation value, including: presetting an adjustment coefficient-temperature difference degree evaluation value interval correspondence relationship, and associating a corresponding adjustment coefficient for each temperature difference degree evaluation value interval; obtaining a temperature difference degree evaluation value, and based on a mapping relationship between the temperature difference degree evaluation value interval to which the temperature difference degree evaluation value belongs within the adjustment coefficient-temperature difference degree evaluation value interval correspondence relationship, selecting an adjustment coefficient corresponding to the temperature difference degree evaluation value interval as the corresponding adjustment coefficient.
[0029] Specifically, for each temperature difference assessment value interval, a corresponding adjustment coefficient is pre-set; the actual temperature difference assessment values are obtained, and based on the temperature difference assessment value interval to which these values belong, the corresponding adjustment coefficient is found within the pre-set adjustment coefficient-temperature difference assessment value interval correspondence. By mapping the temperature difference assessment values to the corresponding adjustment coefficients, process parameters can be automatically adjusted or other control operations can be performed based on actual conditions. This step, by mapping the temperature difference assessment values to the corresponding adjustment coefficients, enables automated adjustment and control, dynamically adjusting process parameters based on actual conditions, and improving production efficiency and quality stability. Associating the temperature difference assessment values with the adjustment coefficients enables refined regulation and control of varying degrees of temperature fluctuations, allowing for targeted optimization and adjustment. By real-time monitoring of the temperature difference assessment values and mapping them to the corresponding adjustment coefficients, process changes can be promptly responded to, control strategies can be optimized, and stable production processes can be ensured. Automated adjustment and refined control can help improve production efficiency, reduce energy consumption, and ensure stable product quality, thereby enhancing overall production benefits. Through the above process, real-time monitoring and automatic adjustment of temperature difference can be achieved, improving the accuracy and efficiency of process control, and providing stronger support for process optimization and production management.
[0030] In an embodiment of the present application, a temperature control method for a urea catalytic hydrolysis ammonia production process is provided, wherein the working conditions of a temperature control device are adjusted according to an adjustment coefficient, and the temperature control device controls the temperature during the urea catalytic hydrolysis ammonia production process according to the adjusted working conditions, including: multiplying the adjustment coefficient by each preset parameter value in the working conditions of the temperature control device, and using each parameter value obtained by calculation as the adjusted working condition of the temperature control device; and the temperature control device controls the temperature during the urea catalytic hydrolysis ammonia production process according to the adjusted working conditions.
[0031] Specifically, the preset parameter values are multiplied by the corresponding adjustment coefficients to obtain the adjusted working conditions. This process can dynamically adjust the preset parameters according to actual conditions to achieve more effective temperature control; the calculated adjusted parameter values are applied to the temperature control device to control the temperature in the urea catalytic hydrolysis ammonia production process; the temperature control device adjusts the temperature in the process according to the adjusted working conditions. This step can achieve precise control of the temperature control device by applying the adjustment coefficients to the preset parameters, ensuring that the temperature in the process operates stably within the set range; the adjusted working conditions are calculated based on the real-time adjustment coefficients, achieving dynamic adjustment of the preset parameters, making temperature control more flexible and efficient; controlling the temperature through the adjusted working conditions can effectively maintain the temperature stability in the process, reduce fluctuations, and improve production efficiency and product quality; this process realizes automatic adjustment of parameters and automatic control of the temperature control device, reduces human intervention, and improves the degree of automation of the production process. Through the above process, precise control of the temperature in the urea catalytic hydrolysis ammonia production process is achieved, improving process stability and production efficiency, while reducing human errors, and providing strong support for process optimization and management.
[0032] like Figure 2 As shown, in an embodiment of the present application, a temperature control system for a urea catalytic hydrolysis ammonia production process is provided, including: an acquisition module for acquiring historical temperature data of the high-temperature flue gas discharged from the boiler, and analyzing the historical temperature data to determine characteristic parameters that affect the temperature of the high-temperature flue gas; a prediction module for constructing a temperature prediction model based on the characteristic parameters and a preset data network model, and predicting the temperature prediction data of the high-temperature flue gas according to the temperature prediction model; an analysis module for determining the optimal temperature value of the urea catalytic hydrolysis ammonia production process, and performing a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics; an evaluation module for evaluating the degree of temperature difference based on the temperature difference characteristics, obtaining a temperature difference degree evaluation value, and determining an adjustment coefficient according to the temperature difference degree evaluation value; a control module for adjusting the working conditions of the temperature adjustment device according to the adjustment coefficient, and the temperature adjustment device controls the temperature during the urea catalytic hydrolysis ammonia production process according to the adjusted working conditions.
[0033] In summary, an embodiment of the present invention provides a temperature control method and system for a urea catalytic hydrolysis ammonia production process, which includes: analyzing historical temperature data of high-temperature flue gas discharged from a boiler to determine characteristic parameters that affect the temperature of the high-temperature flue gas; constructing a temperature prediction model based on the characteristic parameters and a preset data network model to predict the temperature prediction data of the high-temperature flue gas; determining an optimal temperature value for the urea catalytic hydrolysis ammonia production process, and performing a difference analysis between the optimal temperature value and the temperature prediction data to determine a temperature difference characteristic; evaluating the degree of temperature difference based on the temperature difference characteristic to obtain a temperature difference degree evaluation value, and determining an adjustment coefficient based on the temperature difference degree evaluation value; and adjusting the working conditions of the temperature adjustment device based on the adjustment coefficient to control the temperature during the urea catalytic hydrolysis ammonia production process. The present invention can achieve precise control and optimization of the high-temperature flue gas temperature during the ammonia production process, thereby improving ammonia production efficiency and energy utilization efficiency.
[0034] Finally, it should be noted that it is apparent that various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such modifications and variations as long as they fall within the scope of the present invention and its equivalents.
[0035] The above description is only an example of an embodiment of the present invention, but it does not limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be considered to fall within the scope of protection of the present invention and be subject to restrictions. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.
[0036] The term "comprise," "comprising," or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that comprises a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.
[0037] Thus far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to closely related technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.
[0038] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention.
Claims
1. A temperature control method for a process for producing ammonia by catalytic hydrolysis of urea, characterized in that: include: Obtain historical temperature data of high-temperature flue gas discharged from the boiler, analyze the historical temperature data, and determine the characteristic parameters that affect the temperature of the high-temperature flue gas; Building a temperature prediction model based on characteristic parameters and a preset data network model, and predicting the temperature prediction data of high-temperature flue gas according to the temperature prediction model; Determine the optimal temperature value for the urea catalytic hydrolysis ammonia production process, analyze the difference between the optimal temperature value and the temperature prediction data, and determine the temperature difference characteristics; Evaluate the degree of temperature difference based on the temperature difference characteristics to obtain a temperature difference degree evaluation value, and determine an adjustment coefficient based on the temperature difference degree evaluation value; The working conditions of the temperature regulating device are adjusted according to the adjustment coefficient, and the temperature regulating device controls the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.
2. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 1, characterized in that: The acquisition of historical temperature data of the high-temperature flue gas discharged from the boiler and analysis of the historical temperature data to determine characteristic parameters affecting the temperature of the high-temperature flue gas include: Obtain historical temperature data of high-temperature flue gas discharged from the boiler and historical operation data of the boiler, and divide the data in the historical operation data into several parameter data groups according to parameter type; The correlation between each parameter data group and the historical temperature data is analyzed, and the parameters corresponding to the parameter data groups whose correlation exceeds the preset value are determined as characteristic parameters affecting the high-temperature flue gas temperature.
3. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 2, characterized in that: The method of constructing a temperature prediction model based on characteristic parameters and a preset data network model, and predicting temperature prediction data of high-temperature flue gas according to the temperature prediction model, includes: A data set is constructed based on characteristic parameters and historical temperature data, and the data set is input into a preset neural network model to construct an initial model for temperature prediction of high-temperature flue gas; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial temperature prediction model; The temperature prediction initial model is trained and tested until the temperature prediction initial model meets the preset convergence conditions, thereby obtaining a temperature prediction model; The real-time operation data of the boiler is obtained and input into the temperature prediction model. The temperature prediction model performs prediction to obtain the temperature prediction data of the high-temperature flue gas.
4. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 3, characterized in that: The determining of the optimal temperature value of the urea catalytic hydrolysis ammonia production process, and performing a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics include: Determine the optimal temperature value in the process of urea catalytic hydrolysis to produce ammonia, and determine each temperature value in the temperature prediction data; Calculating the difference between each temperature value in the temperature prediction data and the optimal temperature value to obtain a plurality of temperature difference values, and drawing a temperature difference curve based on the plurality of temperature difference values; Determine peak points and valley points in the temperature difference curve, and divide the temperature curve into a plurality of curve segments based on the peak points and valley points; An average value of each curve segment is calculated and determined as the temperature difference feature.
5. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 4, characterized in that: The step of evaluating the degree of temperature difference based on the temperature difference feature to obtain a temperature difference degree evaluation value includes: Obtain the average value of each curve segment, and evaluate the average value of each curve segment to obtain the temperature difference evaluation value of each curve segment; The average value of the temperature difference evaluation value of each curve segment is calculated, and the average value is used as the temperature difference degree evaluation value.
6. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 5, characterized in that: Determining the adjustment coefficient according to the temperature difference evaluation value includes: The corresponding relationship between the adjustment coefficient and the temperature difference evaluation value interval is pre-set. For each temperature difference evaluation value interval, a corresponding adjustment coefficient is associated; Obtain a temperature difference evaluation value, and based on the mapping relationship between the temperature difference evaluation value interval to which the temperature difference evaluation value belongs and the adjustment coefficient corresponding to the temperature difference evaluation value interval, select the adjustment coefficient corresponding to the temperature difference evaluation value interval as the corresponding adjustment coefficient.
7. The temperature control method for a process for producing ammonia by catalytic hydrolysis of urea according to claim 6, characterized in that: The method of adjusting the working conditions of the temperature regulating device according to the adjustment coefficient and controlling the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions includes: Multiplying the adjustment coefficient by each preset parameter value in the working condition of the temperature adjustment device, and using each parameter value obtained by calculation as the working condition of the temperature adjustment device after adjustment; The temperature regulating device controls the temperature during the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.
8. A temperature control system for a process for producing ammonia by catalytic hydrolysis of urea, characterized in that: include: An acquisition module is used to acquire historical temperature data of high-temperature flue gas discharged from the boiler, analyze the historical temperature data, and determine characteristic parameters that affect the temperature of the high-temperature flue gas; A prediction module is used to build a temperature prediction model based on characteristic parameters and a preset data network model, and predict the temperature prediction data of the high-temperature flue gas according to the temperature prediction model; An analysis module is used to determine the optimal temperature value for the urea catalytic hydrolysis ammonia production process, and to perform a difference analysis between the optimal temperature value and the temperature prediction data to determine the temperature difference characteristics; An evaluation module is used to evaluate the degree of temperature difference based on the temperature difference characteristics, obtain a temperature difference degree evaluation value, and determine an adjustment coefficient according to the temperature difference degree evaluation value; The control module is used to adjust the working conditions of the temperature regulating device according to the adjustment coefficient, and the temperature regulating device controls the temperature in the process of producing ammonia by catalytic hydrolysis of urea according to the adjusted working conditions.