Hydrolysis reactor fault monitoring and early warning system and method
By designing a fault monitoring and early warning system for urea hydrolysis reactor, the liquid level, pressure and temperature are monitored in real time, the ammonia demand is predicted and the type of failure is determined, the risks of failure and ammonia leakage during the urea hydrolysis ammonia production process are solved, and the stable operation and safety guarantee of the hydrolysis system is achieved.
Patent Information
- Application Number
- CN202411383296.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-02-28
AI Technical Summary
The prior art cannot detect the pressure and temperature value of the hydrolysis reactor in real time during the urea hydrolysis ammonia production process, resulting in the risk of failure and ammonia leakage.
A hydrolysis reactor fault monitoring and early warning system is designed, including a demand calculation module, a pressure early warning module, a temperature early warning module and a fault detection module. By monitoring liquid level, pressure and temperature in real time, the ammonia demand is predicted, and the fault type is determined based on the warning level and duration.
Real-time monitoring and fault warning of urea hydrolysis reactors are achieved, reducing ammonia leakage and safety risks, and ensuring the stable operation of the hydrolysis system.
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Figure CN119541666A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of urea hydrolysis to produce ammonia, and more specifically, to a hydrolysis reactor fault monitoring and early warning system and method. Background Art
[0002] As people's understanding of the safety of liquid ammonia use becomes more and more in-depth, more and more countries have begun to use urea as a source of NH3. The United States and Europe have begun to use urea as an indirect denitrification reducing agent in large quantities since the 1990s. Urea and water can produce a mixture of ammonia and CO2 at a certain temperature and pressure. This reaction is an endothermic reaction. Urea hydrolysis reaction can reach different chemical equilibrium states at different temperatures and pressures. Generally, this reaction is carried out at 150℃~300℃. At this temperature and normal pressure, the chemical reaction rate of urea hydrolysis is very slow, and it takes more than 10 hours to reach equilibrium. In order to increase the speed of urea hydrolysis reaction, foreign countries have developed a urea hydrolysis process using a catalyst. Through the action of the catalyst, the time for urea hydrolysis to reach chemical equilibrium can be shortened to within 5 minutes at a lower temperature and pressure, which greatly improves the usability and promotion of urea hydrolysis reaction.
[0003] The existing technology for producing ammonia by urea hydrolysis has a complex control process and a low safety factor. It is unable to detect the pressure and temperature of the hydrolysis reactor in real time, resulting in malfunction of the hydrolysis reactor, ammonia leakage and even danger to personal and equipment safety. Summary of the invention
[0004] The present invention provides a hydrolysis reactor fault monitoring and early warning system and method, which are used to solve the problem in the prior art that real-time early warning cannot be provided when urea is hydrolyzed to produce ammonia, and include:
[0005] A demand calculation module is used to obtain the liquid level data of the hydrolysis reactor and determine the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor;
[0006] The pressure warning module is used to determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the current pressure of the hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform pressure warning;
[0007] A temperature warning module is used to obtain the temperature value of the hydrolysis reactor, determine the temperature warning level according to the temperature value of the hydrolysis reactor, and perform temperature warning;
[0008] The fault detection module is used to obtain the pressure and temperature warning level and warning duration of the current hydrolysis reactor, and determine the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor.
[0009] Furthermore, the demand calculation module determines the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor, including:
[0010] Acquire liquid level change data of the hydrolysis reactor during the reaction process, and draw a liquid level change curve diagram according to the liquid level change data;
[0011] Performing curve fitting on the liquid level variation curve diagram to obtain a liquid level variation curve fitting model of the hydrolysis reactor;
[0012] Predicting the time when the liquid level reaches a first preset threshold value according to the liquid level change curve fitting model, and determining the liquid level change rate according to the time when the liquid level reaches the first preset threshold value;
[0013] The current ammonia consumption rate is obtained, and the initial ammonia demand of the hydrolysis reactor is corrected according to the correlation coefficient between the current ammonia consumption rate and the liquid level change rate to obtain the ammonia demand of the hydrolysis reactor.
[0014] Furthermore, the initial ammonia demand of the hydrolysis reactor is corrected according to the correlation coefficient between the current ammonia consumption rate and the liquid level change rate, including:
[0015] Monitor the liquid level change rate of the hydrolysis reactor in real time, and draw a liquid level change rate curve according to the change of the liquid level change rate;
[0016] Draw an ammonia consumption change curve according to the current ammonia consumption rate, and calculate the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve;
[0017] The initial ammonia demand is corrected according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve.
[0018] Furthermore, the initial ammonia demand is corrected according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve, including:
[0019] The initial ammonia demand of the hydrolysis reactor is corrected according to the ammonia demand correction formula, and the ammonia demand correction formula is specifically as follows:
[0020]
[0021] Where N is the corrected ammonia demand, N α is the initial ammonia demand, R β is the preset allowable value of the correlation coefficient, R is the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve, T is the preset range coefficient, and exp is the natural exponential function.
[0022] Furthermore, the pressure warning module determines the pressure target value according to the ammonia demand of the hydrolysis reactor, including:
[0023] Calculating the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand, and determining whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a second preset threshold;
[0024] If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a second preset threshold, setting the first target value as the pressure target value;
[0025] If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the second preset threshold, determining whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a third preset threshold;
[0026] If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a third preset threshold, setting the second target value as the pressure target value;
[0027] If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the third preset threshold, the third target value is set as the pressure target value.
[0028] Furthermore, the pressure warning module determines the pressure warning level according to the pressure target value and performs pressure warning, including:
[0029] Obtaining the difference between the pressure target value and the pressure value of the hydrolysis reactor within the preset time period, and drawing a pressure deviation change curve according to the difference between the pressure value and the pressure target value of the hydrolysis reactor within the preset time period;
[0030] Acquire historical reaction data of a hydrolysis reactor, and draw a standard pressure deviation change curve according to the historical reaction data of the hydrolysis reactor;
[0031] The correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve is calculated, and the pressure warning level is determined according to the correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve.
[0032] Furthermore, the temperature warning module determines the temperature warning level and performs temperature warning according to the temperature value of the hydrolysis reactor, including:
[0033] Draw a temperature change curve according to the temperature change of the hydrolysis reactor, filter out the temperature value exceeding the fourth preset threshold value in the temperature change curve, and obtain the temperature danger value;
[0034] Obtain a preset rolling time window, and divide the temperature change curve according to the preset rolling time window to obtain multiple sub-temperature change curves;
[0035] Calculate the average value of the temperature danger value in each sub-temperature change curve, and draw a temperature danger value change curve according to the average value of the temperature danger value in each sub-temperature change curve;
[0036] Calculate the slope value of adjacent average temperature danger values in the temperature danger value change curve, calculate the sum of the slope values according to the slope values of adjacent average temperature danger values in the temperature danger value change curve, obtain the temperature danger coefficient, and determine the temperature warning level according to the temperature danger coefficient.
[0037] Further, determining the temperature warning level according to the temperature risk coefficient includes:
[0038] determining whether the temperature risk coefficient is greater than a fifth preset threshold value, and if the temperature risk coefficient is greater than the fifth preset threshold value, setting the first level as the temperature warning level;
[0039] If the temperature risk coefficient is less than or equal to the fifth preset threshold, determining whether the temperature risk coefficient is greater than a sixth preset threshold;
[0040] If the temperature risk factor is greater than the sixth preset threshold, the second level is set as the temperature warning level;
[0041] If the temperature risk coefficient is less than or equal to the sixth preset threshold, the third level is set as the temperature warning level.
[0042] Furthermore, the fault detection module determines the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor, including:
[0043] Obtain historical warning information of the hydrolysis reactor and the corresponding fault type, and establish a training sample set according to the historical warning information of the hydrolysis reactor and the corresponding fault type;
[0044] Establishing a fault prediction model according to the training sample set and training the fault prediction model to obtain a trained fault prediction model;
[0045] The pressure and temperature warning level and warning duration of the current hydrolysis reactor are input into the fault prediction model to obtain the corresponding fault type.
[0046] In order to achieve the above object, the present invention also provides a hydrolysis reactor fault monitoring and early warning method, comprising:
[0047] Acquiring liquid level data of the hydrolysis reactor, and determining the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor;
[0048] Determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the current pressure of the hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform pressure warning;
[0049] Obtaining the temperature value of the hydrolysis reactor, determining the temperature warning level according to the temperature value of the hydrolysis reactor and performing a temperature warning;
[0050] The pressure and temperature warning levels and warning durations of the current hydrolysis reactor are obtained, and the fault type is determined according to the pressure and temperature warning levels and warning durations of the current hydrolysis reactor.
[0051] The beneficial effects of the present invention are:
[0052] By applying the above technical scheme, the present invention monitors the temperature and pressure values of the hydrolysis reactor in real time during the urea hydrolysis reaction and issues a timely warning, and at the same time predicts the fault type of the hydrolysis reactor according to the warning level and duration, so as to timely warn of the fault in the hydrolysis reactor, ensure the stable operation of the hydrolysis system, and effectively prevent the hydrolysis system from leaking ammonia and even endangering the safety of people and equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.
[0054] Figure 1 A schematic structural diagram of a hydrolysis reactor fault monitoring and early warning system proposed in an embodiment of the present invention is shown;
[0055] Figure 2 The figure shows an overall flow chart of a hydrolysis reactor fault monitoring and early warning method proposed in an embodiment of the present invention. DETAILED DESCRIPTION
[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0057] The present application embodiment provides a hydrolysis reactor fault monitoring and early warning system, such as Figure 1 As shown, including:
[0058] A demand calculation module is used to obtain the liquid level data of the hydrolysis reactor and determine the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor;
[0059] The pressure warning module is used to determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the current pressure of the hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform pressure warning;
[0060] A temperature warning module is used to obtain the temperature value of the hydrolysis reactor, determine the temperature warning level according to the temperature value of the hydrolysis reactor, and perform temperature warning;
[0061] The fault detection module is used to obtain the pressure and temperature warning level and warning duration of the current hydrolysis reactor, and determine the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor.
[0062] In some embodiments of the present application, the demand calculation module determines the ammonia demand of the hydrolysis reactor based on the liquid level data of the hydrolysis reactor, including: obtaining the liquid level change data of the hydrolysis reactor during the reaction, and drawing a liquid level change curve chart based on the liquid level change data; performing curve fitting on the liquid level change curve chart to obtain a liquid level change curve fitting model for the hydrolysis reactor; predicting the time when the liquid level reaches a first preset threshold value based on the liquid level change curve fitting model, and determining the liquid level change rate based on the time when the liquid level reaches the first preset threshold value; obtaining the current ammonia consumption rate, and correcting the initial ammonia demand of the hydrolysis reactor based on the correlation coefficient between the current ammonia consumption rate and the liquid level change rate to obtain the ammonia demand of the hydrolysis reactor.
[0063] In this embodiment, a curve fitting model is established based on the liquid level change curve of the hydrolysis reactor, the liquid level consumption is predicted according to the curve fitting model, the liquid level change rate is determined according to the liquid level consumption, and the consumption rate of ammonia gas is monitored at the same time. The ammonia demand of the hydrolysis reactor is calculated according to the correlation coefficient between the ammonia consumption rate and the liquid level change rate.
[0064] In some embodiments of the present application, the initial ammonia demand of the hydrolysis reactor is corrected according to the correlation coefficient between the current ammonia consumption rate and the liquid level change rate, including: real-time monitoring of the liquid level change rate of the hydrolysis reactor, and drawing a liquid level change rate curve according to the change of the liquid level change rate; drawing an ammonia consumption change curve according to the current ammonia consumption rate, and calculating the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve; and correcting the initial ammonia demand according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve.
[0065] In some embodiments of the present application, the correction of the initial ammonia demand according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve includes: correcting the initial ammonia demand of the hydrolysis reactor according to an ammonia demand correction formula, wherein the ammonia demand correction formula is specifically:
[0066]
[0067] Where N is the corrected ammonia demand, N α is the initial ammonia demand, R βis the preset allowable value of the correlation coefficient, R is the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve, T is the preset range coefficient, and exp is the natural exponential function.
[0068] In this embodiment, the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve is calculated based on the Pearson correlation coefficient algorithm. The smaller the correlation coefficient, the greater the corresponding ammonia demand, indicating that the liquid level change rate cannot supply the ammonia consumption rate.
[0069] In some embodiments of the present application, the pressure warning module determines the pressure target value based on the ammonia demand of the hydrolysis reactor, including: calculating the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand, and judging whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a second preset threshold value; if the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than the second preset threshold value, setting the first target value as the pressure target value; if the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the second preset threshold value, judging whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a third preset threshold value; if the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than the third preset threshold value, setting the second target value as the pressure target value; if the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the third preset threshold value, setting the third target value as the pressure target value.
[0070] In this embodiment, the first target value>the second target value>the third target value, and the greater the difference between the ammonia demand and the standard ammonia demand, the higher the corresponding pressure target value.
[0071] In some embodiments of the present application, the pressure warning module determines the pressure warning level according to the pressure target value and performs pressure warning, including: obtaining the difference between the pressure target value and the pressure value of the hydrolysis reactor within a preset time period, and drawing a pressure deviation change curve according to the difference between the pressure value of the hydrolysis reactor and the pressure target value within the preset time period; obtaining the reaction data of the historical hydrolysis reactor, and drawing a standard pressure deviation change curve according to the reaction data of the historical hydrolysis reactor; calculating the correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve, and determining the pressure warning level according to the correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve.
[0072] In this embodiment, a standard change curve of pressure deviation in the historical hydrolysis ammonia production process is obtained based on the reaction data of the historical hydrolysis reactor, and the pressure warning level is set by the correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve. The lower the correlation coefficient, the greater the corresponding pressure warning level.
[0073] In some embodiments of the present application, the temperature warning module determines the temperature warning level and performs temperature warning according to the temperature value of the hydrolysis reactor, including: drawing a temperature change curve according to the temperature change of the hydrolysis reactor, screening out the temperature values in the temperature change curve that exceed the fourth preset threshold value, and obtaining a temperature hazard value; obtaining a preset rolling time window, and dividing the temperature change curve according to the preset rolling time window to obtain multiple sub-temperature change curves; calculating the average value of the temperature hazard values in each sub-temperature change curve, and drawing a temperature hazard value change curve according to the average value of the temperature hazard values in each sub-temperature change curve; calculating the slope value of adjacent average temperature hazard values in the temperature hazard value change curve, calculating the sum of the slope values according to the slope values of adjacent average temperature hazard values in the temperature hazard value change curve, obtaining a temperature hazard coefficient, and determining the temperature warning level according to the temperature hazard coefficient.
[0074] In some embodiments of the present application, determining the temperature warning level based on the temperature hazard coefficient includes: judging whether the temperature hazard coefficient is greater than a fifth preset threshold value; if the temperature hazard coefficient is greater than the fifth preset threshold value, setting the first level as the temperature warning level; if the temperature hazard coefficient is less than or equal to the fifth preset threshold value, judging whether the temperature hazard coefficient is greater than the sixth preset threshold value; if the temperature hazard coefficient is greater than the sixth preset threshold value, setting the second level as the temperature warning level; if the temperature hazard coefficient is less than or equal to the sixth preset threshold value, setting the third level as the temperature warning level.
[0075] In this embodiment, the temperature hazard coefficient is calculated by the sum of the slope values of the average temperature hazard values in the sub-temperature change curves. The sum of the slope values can represent the temperature fluctuation and rising trend. The temperature warning level is determined by the temperature hazard coefficient, making the temperature warning of the hydrolysis reactor more accurate.
[0076] In some embodiments of the present application, the fault detection module determines the fault type based on the pressure and temperature warning level and warning duration of the current hydrolysis reactor, including: obtaining historical warning information of the hydrolysis reactor and the corresponding fault type, and establishing a training sample set based on the historical warning information of the hydrolysis reactor and the corresponding fault type; establishing a fault prediction model based on the training sample set and training the fault prediction model to obtain a trained fault prediction model; inputting the pressure and temperature warning level and warning duration of the current hydrolysis reactor into the fault prediction model to obtain the corresponding fault type.
[0077] In this embodiment, a fault prediction model is established based on a deep learning neural network, and the fault prediction model is trained using historical warning information of a hydrolysis reactor. The historical warning information of the hydrolysis reactor includes historical warning types and corresponding pressure and temperature warning levels and warning durations. By inputting the pressure and temperature warning levels and warning durations of the current hydrolysis reactor into the fault prediction model, the corresponding fault type is obtained.
[0078] Based on the same technical concept, such as Figure 2 As shown, the present invention also provides a hydrolysis reactor fault monitoring and early warning method, comprising:
[0079] S101, obtaining liquid level data of a hydrolysis reactor, and determining the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor;
[0080] S102, determining a pressure target value according to the ammonia demand of the hydrolysis reactor, obtaining the current pressure of the hydrolysis reactor, determining a pressure warning level according to the pressure target value and performing a pressure warning;
[0081] S103, obtaining a temperature value of a hydrolysis reactor, determining a temperature warning level according to the temperature value of the hydrolysis reactor, and performing a temperature warning;
[0082] S104, obtaining the pressure and temperature warning level and warning duration of the current hydrolysis reactor, and determining the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor.
[0083] By applying the above technical scheme, the present invention uses a demand calculation module to obtain the liquid level data of the hydrolysis reactor, and determines the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor; a pressure warning module is used to determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the pressure of the current hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform a pressure warning; a temperature warning module is used to obtain the temperature value of the hydrolysis reactor, determine the temperature warning level according to the temperature value of the hydrolysis reactor and perform a temperature warning; a fault detection module is used to obtain the pressure and temperature warning level and warning duration of the current hydrolysis reactor, and determine the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor. The present invention can timely warn of faults occurring in the hydrolysis reactor and ensure the stable operation of the hydrolysis system.
[0084] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present invention can be implemented by hardware, or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present invention.
[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A hydrolysis reactor fault monitoring and early warning system, characterized in that: include: A demand calculation module is used to obtain the liquid level data of the hydrolysis reactor and determine the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor; The pressure warning module is used to determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the current pressure of the hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform pressure warning; A temperature warning module is used to obtain the temperature value of the hydrolysis reactor, determine the temperature warning level according to the temperature value of the hydrolysis reactor, and perform temperature warning; The fault detection module is used to obtain the pressure and temperature warning level and warning duration of the current hydrolysis reactor, and determine the fault type according to the pressure and temperature warning level and warning duration of the current hydrolysis reactor.
2. The hydrolysis reactor fault monitoring and early warning system according to claim 1, characterized in that: The demand calculation module determines the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor, including: Acquire liquid level change data of the hydrolysis reactor during the reaction process, and draw a liquid level change curve diagram according to the liquid level change data; Performing curve fitting on the liquid level variation curve diagram to obtain a liquid level variation curve fitting model of the hydrolysis reactor; Predicting the time when the liquid level reaches a first preset threshold value according to the liquid level change curve fitting model, and determining the liquid level change rate according to the time when the liquid level reaches the first preset threshold value; The current ammonia consumption rate is obtained, and the initial ammonia demand of the hydrolysis reactor is corrected according to the correlation coefficient between the current ammonia consumption rate and the liquid level change rate to obtain the ammonia demand of the hydrolysis reactor.
3. The hydrolysis reactor fault monitoring and early warning system according to claim 2 is characterized in that: The method of correcting the initial ammonia demand of the hydrolysis reactor according to the correlation coefficient between the current ammonia consumption rate and the liquid level change rate includes: Monitor the liquid level change rate of the hydrolysis reactor in real time, and draw a liquid level change rate curve according to the change of the liquid level change rate; Draw an ammonia consumption change curve according to the current ammonia consumption rate, and calculate the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve; The initial ammonia demand is corrected according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve.
4. The hydrolysis reactor fault monitoring and early warning system according to claim 3, characterized in that: The method of correcting the initial ammonia demand according to the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve includes: The initial ammonia demand of the hydrolysis reactor is corrected according to the ammonia demand correction formula, and the ammonia demand correction formula is specifically as follows: Where N is the corrected ammonia demand, N α is the initial ammonia demand, R β is the preset allowable value of the correlation coefficient, R is the correlation coefficient between the liquid level change rate curve and the ammonia consumption change curve, T is the preset range coefficient, and exp is the natural exponential function.
5. The hydrolysis reactor fault monitoring and early warning system according to claim 1, characterized in that: The pressure warning module determines the pressure target value according to the ammonia demand of the hydrolysis reactor, including: Calculating the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand, and determining whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a second preset threshold; If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a second preset threshold, setting the first target value as the pressure target value; If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the second preset threshold, determining whether the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a third preset threshold; If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is greater than a third preset threshold, setting the second target value as the pressure target value; If the difference between the ammonia demand of the hydrolysis reactor and the standard ammonia demand is less than or equal to the third preset threshold, the third target value is set as the pressure target value.
6. The hydrolysis reactor fault monitoring and early warning system according to claim 5, characterized in that: The pressure warning module determines the pressure warning level according to the pressure target value and performs pressure warning, including: Obtaining the difference between the pressure target value and the pressure value of the hydrolysis reactor within the preset time period, and drawing a pressure deviation change curve according to the difference between the pressure value and the pressure target value of the hydrolysis reactor within the preset time period; Acquire historical reaction data of a hydrolysis reactor, and draw a standard pressure deviation change curve according to the historical reaction data of the hydrolysis reactor; The correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve is calculated, and the pressure warning level is determined according to the correlation coefficient between the pressure deviation change curve and the standard pressure deviation change curve.
7. The hydrolysis reactor fault monitoring and early warning system according to claim 1, characterized in that: The temperature warning module determines the temperature warning level and performs temperature warning according to the temperature value of the hydrolysis reactor, including: Draw a temperature change curve according to the temperature change of the hydrolysis reactor, filter out the temperature value exceeding the fourth preset threshold value in the temperature change curve, and obtain the temperature danger value; Obtain a preset rolling time window, and divide the temperature change curve according to the preset rolling time window to obtain multiple sub-temperature change curves; Calculate the average value of the temperature danger value in each sub-temperature change curve, and draw a temperature danger value change curve according to the average value of the temperature danger value in each sub-temperature change curve; Calculate the slope value of adjacent average temperature danger values in the temperature danger value change curve, calculate the sum of the slope values according to the slope values of adjacent average temperature danger values in the temperature danger value change curve, obtain the temperature danger coefficient, and determine the temperature warning level according to the temperature danger coefficient.
8. The hydrolysis reactor fault monitoring and early warning system according to claim 7, characterized in that: Determining the temperature warning level according to the temperature risk coefficient includes: determining whether the temperature risk coefficient is greater than a fifth preset threshold value, and if the temperature risk coefficient is greater than the fifth preset threshold value, setting the first level as the temperature warning level; If the temperature risk coefficient is less than or equal to the fifth preset threshold, determining whether the temperature risk coefficient is greater than a sixth preset threshold; If the temperature risk factor is greater than the sixth preset threshold, the second level is set as the temperature warning level; If the temperature risk coefficient is less than or equal to the sixth preset threshold, the third level is set as the temperature warning level.
9. The hydrolysis reactor fault monitoring and early warning system according to claim 1, characterized in that: The fault detection module determines the fault type according to the current pressure and temperature warning level and warning duration of the hydrolysis reactor, including: Obtain historical warning information of the hydrolysis reactor and the corresponding fault type, and establish a training sample set according to the historical warning information of the hydrolysis reactor and the corresponding fault type; Establishing a fault prediction model according to the training sample set and training the fault prediction model to obtain a trained fault prediction model; The pressure and temperature warning level and warning duration of the current hydrolysis reactor are input into the fault prediction model to obtain the corresponding fault type.
10. A hydrolysis reactor fault monitoring and early warning method, characterized in that: include: Acquiring liquid level data of the hydrolysis reactor, and determining the ammonia demand of the hydrolysis reactor according to the liquid level data of the hydrolysis reactor; Determine the pressure target value according to the ammonia demand of the hydrolysis reactor, obtain the current pressure of the hydrolysis reactor, determine the pressure warning level according to the pressure target value and perform pressure warning; Obtaining the temperature value of the hydrolysis reactor, determining the temperature warning level according to the temperature value of the hydrolysis reactor and performing a temperature warning; The pressure and temperature warning levels and warning durations of the current hydrolysis reactor are obtained, and the fault type is determined according to the pressure and temperature warning levels and warning durations of the current hydrolysis reactor.