Control system of urea hydrolysis stirring device

Abstract

The invention relates to the technical field of ammonia production equipment, and discloses a urea hydrolysis stirring device control system, which is characterized in that a data acquisition module acquires operation influence factors based on sub-data acquisition timestamps; a first calculation module calculates a first operation influence factor according to the first operation influence factor, wherein the first operation influence factor comprises stirring intensity and material concentration; a second calculation module calculates a second operation influence factor according to a second operation influence factor, wherein the second operation influence factor comprises stirring resistance; a third calculation module calculates a comprehensive operation influence factor based on the first operation influence factor and the second operation influence factor; and the parameter control module optimizes the initial stirring parameters according to the comprehensive operation influence factors to obtain optimized stirring parameters, and controls the urea hydrolysis stirring device, so that accurate control of the urea hydrolysis stirring device is realized, the control efficiency and the control precision are improved, and the efficiency and the stability of urea hydrolysis ammonia preparation are improved.

Description

Technical Field

[0001] The invention relates to the technical field of ammonia production equipment, and in particular to a control system of a urea hydrolysis stirring device. Background Art

[0002] The urea hydrolysis stirring device is a system used to dissolve urea and convert it into ammonia, which is widely used in the fields of industry and environmental protection. The urea hydrolysis stirring device includes: Dissolution tank: Urea granules are mixed with desalted water in the dissolution tank to form a urea solution with a mass fraction of 40% to 60%. Storage tank: The dissolved urea solution is transported to the storage tank for temporary storage. Hydrolysis reactor: The urea solution undergoes a hydrolysis reaction under the action of high temperature and catalyst to generate ammonia, carbon dioxide and water vapor. Control system: It includes various sensors, actuators and control algorithms for monitoring and adjusting various parameters in the urea hydrolysis process.

[0003] In the prior art, the key parameters of the urea hydrolysis stirring device (such as feed rate, temperature, pressure, etc.) need to be manually adjusted by the operator to adapt to changes in production needs. This method is not only labor-intensive, but also difficult to achieve precise control, which easily leads to fluctuations in product quality. Summary of the invention

[0004] The embodiment of the present invention provides a control system for a urea hydrolysis stirring device. The present invention can achieve accurate control of key parameters of the urea hydrolysis stirring device, improve control efficiency and control accuracy, improve the efficiency and stability of urea hydrolysis to produce ammonia, and enhance the safety and reliability of the system.

[0005] In order to achieve the above object, the present invention provides a control system for a urea hydrolysis stirring device, comprising:

[0006] A data collection module, used to pre-set multiple data collection time periods, and collect operation influencing factors of the urea hydrolysis stirring device based on sub-data collection timestamps within the data collection time periods, wherein the operation influencing factors include a first operation influencing factor and a second operation influencing factor;

[0007] A first calculation module, used for calculating a first operation influencing factor factor of the data collection time period according to the first operation influencing factor, wherein the first operation influencing factor includes a stirring intensity and a material concentration of a urea hydrolysis stirring device;

[0008] A second calculation module, configured to calculate a second operation influencing factor factor of the data collection time period according to the second operation influencing factor, wherein the second operation influencing factor includes a stirring resistance of a urea hydrolysis stirring device;

[0009] A third calculation module, used for calculating the comprehensive operation influencing factor of the urea hydrolysis stirring device based on the first operation influencing factor and the second operation influencing factor corresponding to each data collection time period;

[0010] A parameter control module is used to determine the initial stirring parameters of the urea hydrolysis stirring device, optimize the initial stirring parameters according to the comprehensive operation influencing factors to obtain optimized stirring parameters, and control the urea hydrolysis stirring device based on the optimized stirring parameters.

[0011] Furthermore, the first calculation module is used for:

[0012] The first calculation module is used to calculate the first operation influencing factor coefficient corresponding to each sub-data collection timestamp according to the first operation influencing factor;

[0013]

[0014] Among them, b is the first operation influencing factor coefficient corresponding to the sub-data collection timestamp, v is the material concentration of the urea hydrolysis stirring device, c1 is the weight coefficient of the material concentration, h is the characteristic value of the urea hydrolysis stirring device, g2=1-h, the value range of h is [0,2], and L is the stirring intensity of the urea hydrolysis stirring device corresponding to the sub-data collection timestamp.

[0015] Furthermore, the first calculation module is used for:

[0016] The first calculation module is used to extract the first operation influencing factor coefficient within each sub-data collection time stamp to obtain the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient corresponding to the data collection time period;

[0017] The first calculation module is used to calculate the first operation influencing factor factor of the data collection time period based on the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient;

[0018]

[0019] Where k is the first operation influencing factor factor during the data collection period, f is the number of the first operation influencing factor coefficients, and d i is the coefficient of the first operating influencing factor of the ith min is the minimum first operation influencing factor coefficient, d max is the maximum first operation influencing factor coefficient, For all The maximum value in .

[0020] Furthermore, the second calculation module is used for:

[0021] The second calculation module is used to calculate the operation influencing factor reference value corresponding to each sub-data collection timestamp according to the second operation influencing factor;

[0022]

[0023] Among them, s is the reference value of the operation influencing factor corresponding to the sub-data collection time stamp, a is the number of stirring resistance, u p is the pth stirring resistance;

[0024] The second calculation module is used to calculate the ratio of the stirring resistance corresponding to each sub-data collection time stamp to the reference value of the operation influencing factor, and use it as the second operation influencing factor coefficient in the data collection time period.

[0025] Furthermore, the second calculation module is used for:

[0026] The second calculation module is used to extract the second operation influencing factor coefficient corresponding to each sub-data collection timestamp;

[0027] The second calculation module is used to extract the same second operation influencing factor coefficient from the second operation influencing factor coefficients and obtain a plurality of second operation influencing factor coefficient sequences;

[0028] The second calculation module is used to count the first quantity of the second operation influencing factor coefficient sequence;

[0029] The second calculation module is used to extract a second operation influencing factor coefficient from all second operation influencing factor coefficient sequences respectively, and calculate a first sum value;

[0030] The second calculation module is used to obtain a preset second operation influencing factor coefficient, eliminate all second operation influencing factor coefficient sequences that are less than the preset second operation influencing factor coefficient, and count the second number of remaining second operation influencing factor coefficient sequences;

[0031] The second calculation module is used to extract a second operation influencing factor coefficient from the remaining second operation influencing factor coefficient sequence respectively, and calculate a second sum value;

[0032] The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the first quantity, the first sum, the second quantity and the second sum.

[0033] Furthermore, the second calculation module is used for:

[0034] The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the following formula:

[0035]

[0036] Among them, y is the second operation influencing factor factor in the data collection time period, t1 is the first quantity, t2 is the second quantity, r1 is the first sum value, and r2 is the second sum value.

[0037] Furthermore, the third calculation module is used for:

[0038] The third calculation module is used to obtain the first data collection time period and the second data collection time period based on the data time sequence;

[0039] The third calculation module is used to extract the corresponding first operation influencing factor and the second operation influencing factor from the first data collection time, and use them as the first factor to be processed and the second factor to be processed respectively;

[0040] The third calculation module is used to extract the corresponding first operation influencing factor and second operation influencing factor from the second data collection time, and use them as the third factor to be processed and the fourth factor to be processed respectively;

[0041] The third calculation module is used to calculate the difference between the first factor to be processed and the third factor to be processed;

[0042] The third calculation module is used to extract the maximum first operation influencing factor factor and the minimum first operation influencing factor factor from all the first operation influencing factors;

[0043] The third calculation module is used to calculate the operation influencing factor factor range value between the maximum first operation influencing factor factor and the minimum first operation influencing factor factor;

[0044] The third calculation module is used to determine the first factor difference ratio between the first to-be-processed factor difference and the operation influencing factor extreme value;

[0045] The third calculation module is used to calculate the difference between the second factor to be processed and the fourth factor to be processed;

[0046] The third calculation module is used to extract the maximum second operation influencing factor and the minimum second operation influencing factor from all the second operation influencing factors;

[0047] The third calculation module is used to calculate the second operation influencing factor factor range value between the maximum second operation influencing factor factor and the minimum second operation influencing factor factor;

[0048] The third calculation module is used to determine the second factor difference ratio of the second to-be-processed factor difference and the second operation influencing factor extreme value;

[0049] The third calculation module is used to calculate the factor product value between the first factor difference ratio and the second factor difference ratio, and calculate the comprehensive operation influencing factor of the urea hydrolysis stirring device according to all the factor product values.

[0050] Furthermore, the third calculation module is used for:

[0051] The third calculation module is used to calculate the factor mean of all factor product values;

[0052] The third calculation module is used to generate a first mark for all factor product values ​​less than the factor mean, generate a second mark for all factor product values ​​equal to the factor mean, and generate a third mark for all factor product values ​​greater than the factor mean;

[0053] The third calculation module is used to count the number of first marks of the first mark, count the number of second marks of the second mark, and count the number of third marks of the third mark;

[0054] The third calculation module is used to calculate the comprehensive operation influencing factor of the urea hydrolysis stirring device according to the first mark quantity, the second mark quantity and the third mark quantity.

[0055] Furthermore, the parameter control module is used to:

[0056] The parameter control module is used to preset a first comprehensive operation influencing factor factor and a second comprehensive operation influencing factor factor;

[0057] The parameter control module is used to preset a first optimization coefficient, a second optimization coefficient and a third optimization coefficient;

[0058] The parameter control module is used for respectively calculating the product value of the first optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is less than the first comprehensive operation influencing factor;

[0059] The parameter control module is used for respectively calculating the product value of the second optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the first comprehensive operation influencing factor and less than the second comprehensive operation influencing factor;

[0060] The parameter control module is used to calculate the product value of the third optimization coefficient and all initial stirring parameters respectively to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the second comprehensive operation influencing factor.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The invention discloses a control system for a urea hydrolysis stirring device. A data acquisition module acquires operation influencing factors based on a sub-data acquisition timestamp; a first calculation module calculates a first operation influencing factor factor according to the first operation influencing factor, wherein the first operation influencing factor includes stirring intensity and material concentration; a second calculation module calculates a second operation influencing factor factor according to the second operation influencing factor, wherein the second operation influencing factor includes stirring resistance; a third calculation module calculates a comprehensive operation influencing factor factor based on the first operation influencing factor factor and the second operation influencing factor factor; a parameter control module optimizes initial stirring parameters according to the comprehensive operation influencing factor factor to obtain optimized stirring parameters, controls the urea hydrolysis stirring device, realizes precise control of the urea hydrolysis stirring device, improves control efficiency and control accuracy, and improves efficiency and stability of urea hydrolysis to produce ammonia. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0064] Figure 1 A structural schematic diagram of a control system of a urea hydrolysis stirring device in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0065] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0066] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device 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 the present application.

[0067] The terms "first" 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. Thus, a feature defined as "first" 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.

[0068] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0069] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0070] like Figure 1 As shown, an embodiment of the present invention discloses a control system of a urea hydrolysis stirring device, comprising:

[0071] A data collection module, used to pre-set multiple data collection time periods, and collect operation influencing factors of the urea hydrolysis stirring device based on sub-data collection timestamps within the data collection time periods, wherein the operation influencing factors include a first operation influencing factor and a second operation influencing factor;

[0072] A first calculation module, used for calculating a first operation influencing factor factor of the data collection time period according to the first operation influencing factor, wherein the first operation influencing factor includes a stirring intensity and a material concentration of a urea hydrolysis stirring device;

[0073] A second calculation module, configured to calculate a second operation influencing factor factor of the data collection time period according to the second operation influencing factor, wherein the second operation influencing factor includes a stirring resistance of a urea hydrolysis stirring device;

[0074] A third calculation module, used for calculating the comprehensive operation influencing factor of the urea hydrolysis stirring device based on the first operation influencing factor and the second operation influencing factor corresponding to each data collection time period;

[0075] A parameter control module is used to determine the initial stirring parameters of the urea hydrolysis stirring device, optimize the initial stirring parameters according to the comprehensive operation influencing factors to obtain optimized stirring parameters, and control the urea hydrolysis stirring device based on the optimized stirring parameters.

[0076] In this embodiment, the data collection time period can be set according to actual needs, and is preferably 10 here. Each data collection time period includes multiple sub-data collection timestamps, and the sub-data collection timestamp is preferably 6 here, that is, each data collection time period is set with 6 sub-data collection timestamps.

[0077] In some embodiments of the present application, the first computing module is used to:

[0078] The first calculation module is used to calculate the first operation influencing factor coefficient corresponding to each sub-data collection timestamp according to the first operation influencing factor;

[0079]

[0080] Among them, b is the first operation influencing factor coefficient corresponding to the sub-data collection timestamp, v is the material concentration of the urea hydrolysis stirring device, c1 is the weight coefficient of the material concentration, h is the characteristic value of the urea hydrolysis stirring device, g2=1-h, the value range of h is [0,2], and L is the stirring intensity of the urea hydrolysis stirring device corresponding to the sub-data collection timestamp.

[0081] The beneficial effect of the above technical solution is that the present invention calculates the first operation influencing factor coefficient corresponding to each sub-data collection timestamp according to the first operation influencing factor, which not only ensures the calculation accuracy of the first operation influencing factor coefficient, but also lays the foundation for the calculation of the first operation influencing factor factor.

[0082] In some embodiments of the present application, the first computing module is used to:

[0083] The first calculation module is used to extract the first operation influencing factor coefficient within each sub-data collection time stamp to obtain the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient corresponding to the data collection time period;

[0084] The first calculation module is used to calculate the first operation influencing factor factor of the data collection time period based on the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient;

[0085]

[0086] Where k is the first operation influencing factor factor during the data collection period, f is the number of the first operation influencing factor coefficients, and d i is the coefficient of the first operating influencing factor of the ith min is the minimum first operation influencing factor coefficient, d max is the maximum first operation influencing factor coefficient, For all The maximum value in .

[0087] The beneficial effect of the above technical solution is that the present invention calculates the first operation influencing factor factor of the data collection time period based on the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient, without manual participation in the calculation, thus ensuring the calculation accuracy.

[0088] In some embodiments of the present application, the second computing module is used to:

[0089] The second calculation module is used to calculate the operation influencing factor reference value corresponding to each sub-data collection timestamp according to the second operation influencing factor;

[0090]

[0091] Among them, s is the reference value of the operation influencing factor corresponding to the sub-data collection time stamp, a is the number of stirring resistance, u p is the pth stirring resistance;

[0092] The second calculation module is used to calculate the ratio of the stirring resistance corresponding to each sub-data collection time stamp to the reference value of the operation influencing factor, and use it as the second operation influencing factor coefficient in the data collection time period.

[0093] The beneficial effect of the above technical solution is: the present invention first calculates the reference value of the operation influencing factor corresponding to each sub-data collection timestamp, further calculates the ratio of the stirring resistance corresponding to each sub-data collection timestamp to the reference value of the operation influencing factor, and uses it as the second operation influencing factor coefficient of the data collection time period, providing a calculation basis for the calculation of the second operation influencing factor factor.

[0094] In some embodiments of the present application, the second computing module is used to:

[0095] The second calculation module is used to extract the second operation influencing factor coefficient corresponding to each sub-data collection timestamp;

[0096] The second calculation module is used to extract the same second operation influencing factor coefficient from the second operation influencing factor coefficients and obtain a plurality of second operation influencing factor coefficient sequences;

[0097] The second calculation module is used to count the first quantity of the second operation influencing factor coefficient sequence;

[0098] The second calculation module is used to extract a second operation influencing factor coefficient from all second operation influencing factor coefficient sequences respectively, and calculate a first sum value;

[0099] The second calculation module is used to obtain a preset second operation influencing factor coefficient, eliminate all second operation influencing factor coefficient sequences that are less than the preset second operation influencing factor coefficient, and count the second number of remaining second operation influencing factor coefficient sequences;

[0100] The second calculation module is used to extract a second operation influencing factor coefficient from the remaining second operation influencing factor coefficient sequence respectively, and calculate a second sum value;

[0101] The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the first quantity, the first sum, the second quantity and the second sum.

[0102] In this embodiment, the preset second operation influencing factor coefficient is the variance of all second operation influencing factor coefficients.

[0103] The beneficial effect of the above technical solution is that the present invention calculates the second operation influencing factor of the data collection time period according to the first quantity, the first sum, the second quantity and the second sum, further ensuring the intelligent control of the urea hydrolysis stirring device.

[0104] In some embodiments of the present application, the second computing module is used to:

[0105] The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the following formula:

[0106]

[0107] Among them, y is the second operation influencing factor factor in the data collection time period, t1 is the first quantity, t2 is the second quantity, r1 is the first sum value, and r2 is the second sum value.

[0108] In some embodiments of the present application, the third calculation module is used to:

[0109] The third calculation module is used to obtain the first data collection time period and the second data collection time period based on the data time sequence;

[0110] The third calculation module is used to extract the corresponding first operation influencing factor and the second operation influencing factor from the first data collection time, and use them as the first factor to be processed and the second factor to be processed respectively;

[0111] The third calculation module is used to extract the corresponding first operation influencing factor and second operation influencing factor from the second data collection time, and use them as the third factor to be processed and the fourth factor to be processed respectively;

[0112] The third calculation module is used to calculate the difference between the first factor to be processed and the third factor to be processed;

[0113] The third calculation module is used to extract the maximum first operation influencing factor factor and the minimum first operation influencing factor factor from all the first operation influencing factors;

[0114] The third calculation module is used to calculate the operation influencing factor factor range value between the maximum first operation influencing factor factor and the minimum first operation influencing factor factor;

[0115] The third calculation module is used to determine the first factor difference ratio between the first to-be-processed factor difference and the operation influencing factor extreme value;

[0116] The third calculation module is used to calculate the difference between the second factor to be processed and the fourth factor to be processed;

[0117] The third calculation module is used to extract the maximum second operation influencing factor and the minimum second operation influencing factor from all the second operation influencing factors;

[0118] The third calculation module is used to calculate the second operation influencing factor factor range value between the maximum second operation influencing factor factor and the minimum second operation influencing factor factor;

[0119] The third calculation module is used to determine the second factor difference ratio of the second to-be-processed factor difference and the second operation influencing factor extreme value;

[0120] The third calculation module is used to calculate the factor product value between the first factor difference ratio and the second factor difference ratio, and calculate the comprehensive operation influencing factor of the urea hydrolysis stirring device according to all the factor product values.

[0121] In this embodiment, in order to distinguish them separately, the first operation influencing factor factor and the second operation influencing factor factor extracted from the first data collection time are respectively used as the first factor to be processed and the second factor to be processed, and the corresponding first operation influencing factor factor and the second operation influencing factor factor extracted from the second data collection time are used as the third factor to be processed and the fourth factor to be processed.

[0122] In some embodiments of the present application, the third calculation module is used to:

[0123] The third calculation module is used to calculate the factor mean of all factor product values;

[0124] The third calculation module is used to generate a first mark for all factor product values ​​less than the factor mean, generate a second mark for all factor product values ​​equal to the factor mean, and generate a third mark for all factor product values ​​greater than the factor mean;

[0125] The third calculation module is used to count the number of first marks of the first mark, count the number of second marks of the second mark, and count the number of third marks of the third mark;

[0126] The third calculation module is used to calculate the comprehensive operation influencing factor of the urea hydrolysis stirring device according to the first mark quantity, the second mark quantity and the third mark quantity.

[0127] In this embodiment, the comprehensive operation influencing factor of the urea hydrolysis stirring device is calculated according to the following formula:

[0128]

[0129] Among them, e is the comprehensive operation influencing factor of the urea hydrolysis stirring device, w1 is the first marking quantity, w2 is the second marking quantity, and w3 is the third marking quantity.

[0130] The beneficial effect of the above technical solution is that the present invention calculates the comprehensive operation influencing factors of the urea hydrolysis stirring device according to the first mark number, the second mark number and the third mark number, thereby realizing precise control of the urea hydrolysis stirring device and further ensuring the control accuracy and control efficiency of the urea hydrolysis stirring device.

[0131] In some embodiments of the present application, the parameter control module is used to:

[0132] The parameter control module is used to preset a first comprehensive operation influencing factor factor and a second comprehensive operation influencing factor factor;

[0133] The parameter control module is used to preset a first optimization coefficient, a second optimization coefficient and a third optimization coefficient;

[0134] The parameter control module is used for respectively calculating the product value of the first optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is less than the first comprehensive operation influencing factor;

[0135] The parameter control module is used for respectively calculating the product value of the second optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the first comprehensive operation influencing factor and less than the second comprehensive operation influencing factor;

[0136] The parameter control module is used to calculate the product value of the third optimization coefficient and all initial stirring parameters respectively to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the second comprehensive operation influencing factor.

[0137] In this embodiment, the first comprehensive operation influencing factor factor is smaller than the second comprehensive operation influencing factor factor.

[0138] In this embodiment, 0.85 is less than the first optimization coefficient which is less than the second optimization coefficient which is less than the third optimization coefficient which is less than 1.2.

[0139] The beneficial effect of the above technical solution is: the present invention selects the corresponding optimization coefficient according to the relationship between the comprehensive operation influencing factor, the first comprehensive operation influencing factor and the second comprehensive operation influencing factor, thereby optimizing the initial stirring parameters, realizing precise control of the urea hydrolysis stirring device, improving control efficiency and control accuracy, and improving the efficiency and stability of urea hydrolysis to produce ammonia.

[0140] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0141] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0142] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A control system for a urea hydrolysis stirring device, characterized in that: include: A data collection module, used to pre-set multiple data collection time periods, and collect operation influencing factors of the urea hydrolysis stirring device based on sub-data collection timestamps within the data collection time periods, wherein the operation influencing factors include a first operation influencing factor and a second operation influencing factor; A first calculation module, used for calculating a first operation influencing factor factor of the data collection time period according to the first operation influencing factor, wherein the first operation influencing factor includes a stirring intensity and a material concentration of a urea hydrolysis stirring device; A second calculation module, configured to calculate a second operation influencing factor factor of the data collection time period according to the second operation influencing factor, wherein the second operation influencing factor includes a stirring resistance of a urea hydrolysis stirring device; A third calculation module, used for calculating the comprehensive operation influencing factor of the urea hydrolysis stirring device based on the first operation influencing factor and the second operation influencing factor corresponding to each data collection time period; A parameter control module is used to determine the initial stirring parameters of the urea hydrolysis stirring device, optimize the initial stirring parameters according to the comprehensive operation influencing factors to obtain optimized stirring parameters, and control the urea hydrolysis stirring device based on the optimized stirring parameters.

2. The control system of the urea hydrolysis stirring device according to claim 1, characterized in that: The first calculation module is used for: The first calculation module is used to calculate the first operation influencing factor coefficient corresponding to each sub-data collection timestamp according to the first operation influencing factor; Among them, b is the first operation influencing factor coefficient corresponding to the sub-data collection timestamp, v is the material concentration of the urea hydrolysis stirring device, c1 is the weight coefficient of the material concentration, h is the characteristic value of the urea hydrolysis stirring device, g2=1-h, the value range of h is [0,2], and L is the stirring intensity of the urea hydrolysis stirring device corresponding to the sub-data collection timestamp.

3. The control system of the urea hydrolysis stirring device according to claim 2, characterized in that: The first calculation module is used for: The first calculation module is used to extract the first operation influencing factor coefficient within each sub-data collection time stamp to obtain the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient corresponding to the data collection time period; The first calculation module is used to calculate the first operation influencing factor factor of the data collection time period based on the maximum first operation influencing factor coefficient and the minimum first operation influencing factor coefficient; Where k is the first operation influencing factor factor during the data collection period, f is the number of the first operation influencing factor coefficients, and d i is the coefficient of the first operating influencing factor of the ith min is the minimum first operation influencing factor coefficient, d max is the maximum first operation influencing factor coefficient, For all The maximum value in .

4. The control system of the urea hydrolysis stirring device according to claim 1, characterized in that: The second calculation module is used for: The second calculation module is used to calculate the operation influencing factor reference value corresponding to each sub-data collection timestamp according to the second operation influencing factor; Among them, s is the reference value of the operation influencing factor corresponding to the sub-data collection time stamp, a is the number of stirring resistance, u p is the pth stirring resistance; The second calculation module is used to calculate the ratio of the stirring resistance corresponding to each sub-data collection time stamp to the reference value of the operation influencing factor, and use it as the second operation influencing factor coefficient in the data collection time period.

5. The control system of the urea hydrolysis stirring device according to claim 4, characterized in that: The second calculation module is used for: The second calculation module is used to extract the second operation influencing factor coefficient corresponding to each sub-data collection timestamp; The second calculation module is used to extract the same second operation influencing factor coefficient from the second operation influencing factor coefficients and obtain a plurality of second operation influencing factor coefficient sequences; The second calculation module is used to count the first quantity of the second operation influencing factor coefficient sequence; The second calculation module is used to extract a second operation influencing factor coefficient from all second operation influencing factor coefficient sequences respectively, and calculate a first sum value; The second calculation module is used to obtain a preset second operation influencing factor coefficient, eliminate all second operation influencing factor coefficient sequences that are less than the preset second operation influencing factor coefficient, and count the second number of remaining second operation influencing factor coefficient sequences; The second calculation module is used to extract a second operation influencing factor coefficient from the remaining second operation influencing factor coefficient sequence respectively, and calculate a second sum value; The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the first quantity, the first sum, the second quantity and the second sum.

6. The control system of the urea hydrolysis stirring device according to claim 5, characterized in that: The second calculation module is used for: The second calculation module is used to calculate the second operation influencing factor of the data collection time period according to the following formula: t1 r1 y=t2+r2; Among them, y is the second operation influencing factor factor in the data collection time period, t1 is the first quantity, t2 is the second quantity, r1 is the first sum value, and r2 is the second sum value.

7. The control system of the urea hydrolysis stirring device according to claim 1, characterized in that: The third calculation module is used for: The third calculation module is used to obtain the first data collection time period and the second data collection time period based on the data time sequence; The third calculation module is used to extract the corresponding first operation influencing factor and the second operation influencing factor from the first data collection time, and use them as the first factor to be processed and the second factor to be processed respectively; The third calculation module is used to extract the corresponding first operation influencing factor and second operation influencing factor from the second data collection time, and use them as the third factor to be processed and the fourth factor to be processed respectively; The third calculation module is used to calculate the difference between the first factor to be processed and the third factor to be processed; The third calculation module is used to extract the maximum first operation influencing factor factor and the minimum first operation influencing factor factor from all the first operation influencing factors; The third calculation module is used to calculate the operation influencing factor factor range value between the maximum first operation influencing factor factor and the minimum first operation influencing factor factor; The third calculation module is used to determine the first factor difference ratio between the first to-be-processed factor difference and the operation influencing factor extreme value; The third calculation module is used to calculate the difference between the second factor to be processed and the fourth factor to be processed; The third calculation module is used to extract the maximum second operation influencing factor and the minimum second operation influencing factor from all the second operation influencing factors; The third calculation module is used to calculate the second operation influencing factor factor range value between the maximum second operation influencing factor factor and the minimum second operation influencing factor factor; The third calculation module is used to determine the second factor difference ratio of the second to-be-processed factor difference and the second operation influencing factor extreme value; The third calculation module is used to calculate the factor product value between the first factor difference ratio and the second factor difference ratio, and calculate the comprehensive operation influencing factor factor of the urea hydrolysis stirring device according to all the factor product values.

8. The control system of the urea hydrolysis stirring device according to claim 7, characterized in that: The third calculation module is used for: The third calculation module is used to calculate the factor mean of all factor product values; The third calculation module is used to generate a first mark for all factor product values ​​less than the factor mean, generate a second mark for all factor product values ​​equal to the factor mean, and generate a third mark for all factor product values ​​greater than the factor mean; The third calculation module is used to count the number of first marks of the first mark, count the number of second marks of the second mark, and count the number of third marks of the third mark; The third calculation module is used to calculate the comprehensive operation influencing factor of the urea hydrolysis stirring device according to the first mark quantity, the second mark quantity and the third mark quantity.

9. The control system of the urea hydrolysis stirring device according to claim 1, characterized in that: The parameter control module is used for: The parameter control module is used to preset a first comprehensive operation influencing factor factor and a second comprehensive operation influencing factor factor; The parameter control module is used to preset a first optimization coefficient, a second optimization coefficient and a third optimization coefficient; The parameter control module is used for respectively calculating the product value of the first optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is less than the first comprehensive operation influencing factor; The parameter control module is used for respectively calculating the product value of the second optimization coefficient and all the initial stirring parameters to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the first comprehensive operation influencing factor and less than the second comprehensive operation influencing factor; The parameter control module is used to calculate the product value of the third optimization coefficient and all initial stirring parameters respectively to obtain the optimized stirring parameters when the comprehensive operation influencing factor is greater than or equal to the second comprehensive operation influencing factor.

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