Automatic urea hydrolysis ammonia production system

Abstract

The invention discloses an automatic urea hydrolysis ammonia production system, which comprises a division module used for determining characteristic monitoring data of each ammonia production sub-link; the acquisition module is used for acquiring real-time characteristic monitoring data of the current ammonia production sub-link, generating an ammonia production evaluation value and determining a plurality of first control strategies of the ammonia production evaluation value based on a preset control analysis model; the determination module is used for determining an associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship among all the ammonia production sub-links; the simulation module is used for carrying out analogue simulation on each first automatic control strategy to obtain a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation influence evaluation value of each first control strategy on the associated ammonia production sub-link; the control module is used for generating a comprehensive simulation evaluation value according to the simulation application evaluation value and the simulation influence evaluation value and determining a final control strategy, stable operation of the system is ensured, and the operation efficiency and the denitration efficiency of the system are improved.

Description

Technical Field

[0001] The present application relates to the technical field of urea hydrolysis to produce ammonia, and in particular to an automated urea hydrolysis to produce ammonia system. Background Art

[0002] Urea hydrolysis to produce ammonia is a common method for producing ammonia. Ammonia is produced through the urea hydrolysis reaction. This method is widely used in industrial production and fundamentally eliminates the major safety hazards caused by liquid ammonia storage. The current urea hydrolysis to produce ammonia systems mostly use manual control, which has a high risk of misoperation and has problems such as low ammonia conversion rate and low system operation stability. Therefore, there is an urgent need for an automated urea hydrolysis to produce ammonia system to achieve automated management of multiple ammonia production links, reduce human operation errors and improve system operation efficiency. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides an automated urea hydrolysis ammonia production system, which determines the characteristic monitoring data of each ammonia production sub-link and calculates the ammonia production evaluation value of the ammonia production sub-link. According to the ammonia production evaluation value, the abnormal situation of the ammonia production sub-link is discovered in time and multiple first control strategies are quickly generated. The multiple first control strategies are simulated to obtain the comprehensive simulation evaluation value of the first control strategy, so as to determine the final control strategy, ensure the stable operation of the system and improve the control effect of the system, provide a stable source of ammonia for the denitrification system, and thus improve the denitrification efficiency.

[0004] In some embodiments of the present application, an automated urea hydrolysis ammonia production system is provided, comprising:

[0005] A division module is used to divide the urea hydrolysis ammonia production system into multiple ammonia production sub-links, and determine the characteristic monitoring data of each ammonia production sub-link according to the influence of the historical monitoring data of each ammonia production sub-link on the ammonia production evaluation index;

[0006] An acquisition module is used to acquire real-time characteristic monitoring data of the current ammonia production sub-link, and compare it with the standard characteristic monitoring data, generate an ammonia production evaluation value of the current ammonia production sub-link according to the comparison result, and determine multiple first control strategies for the ammonia production evaluation value based on a preset control analysis model;

[0007] A determination module, used to determine the associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship between all ammonia production sub-links;

[0008] A simulation module, used to simulate each first automatic control strategy to obtain a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link;

[0009] A control module, configured to generate a comprehensive simulation evaluation value corresponding to a first control strategy according to a simulation application evaluation value and a simulation impact evaluation value, and generate a control instruction for the current ammonia production sub - link according to the first control strategy with the largest comprehensive simulation evaluation value.

[0010] In some embodiments of the present application, determining the characteristic monitoring data of each ammonia production sub - link includes:

[0011] Presetting ammonia production evaluation indexes for each ammonia production sub - link, and setting weight coefficients for each ammonia production evaluation index;

[0012] Obtaining a number of historical monitoring logs of each ammonia production sub - link, and dividing the historical monitoring logs according to the historical denitrification target to obtain multiple historical monitoring logs with the same historical denitrification target;

[0013] Determining a standard monitoring period corresponding to the historical operating condition according to the historical monitoring periods of multiple historical monitoring logs with the same historical denitrification target. Taking the standard monitoring period as the time reference line for the corresponding historical operating condition, and setting data acquisition nodes at a preset time interval;

[0014] According to each data acquisition node, obtaining the historical monitoring data in multiple historical monitoring logs with the same historical denitrification target and the historical reference evaluation values of each ammonia production evaluation index, and mapping them to the corresponding time reference line to obtain a monitoring data - ammonia production evaluation index influence relationship diagram for each historical operating condition;

[0015] Based on the historical monitoring data in the same historical monitoring log in the monitoring data - ammonia production evaluation index influence relationship diagram and the historical reference evaluation values of each ammonia production evaluation index, performing comprehensive analysis, screening data acquisition nodes where the fluctuation degree of the historical reference evaluation value of each ammonia production evaluation index in each historical monitoring log is greater than a preset first fluctuation degree threshold, and setting them as the attention nodes for the corresponding ammonia production evaluation index;

[0016] Obtaining the historical monitoring data of the previous adjacent historical period of each attention node in each historical monitoring log, screening out the historical monitoring data with a fluctuation degree greater than a preset second fluctuation degree threshold, and setting the screened historical monitoring data as the attention monitoring data for the ammonia production evaluation index corresponding to the current attention node;

[0017] Obtaining the first fluctuation magnitude of the historical reference evaluation value of the ammonia production evaluation index corresponding to the attention node and the second fluctuation magnitude of the corresponding attention monitoring data, and generating the influence sub - degree of the attention monitoring data on the corresponding ammonia production evaluation index according to the first fluctuation magnitude and the second fluctuation magnitude;

[0018] According to the number of occurrences of the same monitoring data of concern in different historical monitoring logs of the same historical denitrification target and the degree of influence of the corresponding monitoring data of concern in the historical monitoring logs on the corresponding ammonia production evaluation index, the degree of influence of the corresponding monitoring data of concern on the corresponding ammonia production evaluation index is generated.

[0019] In some embodiments of the present application, determining characteristic monitoring data of each ammonia production sub-link includes:

[0020] The calculation formula for the impact degree is:

[0021]

[0022] Among them, Y is the influence degree of the concerned monitoring data on the corresponding ammonia production evaluation index, m is the number of occurrences of the concerned monitoring data in different historical monitoring logs of the same historical denitrification target, n is the number of all historical monitoring logs of the same historical denitrification target, y0i is the influence degree of the concerned monitoring data appearing in the i-th historical monitoring log on the corresponding ammonia production evaluation index;

[0023] Pre-set impact thresholds;

[0024] When the impact level is less than the impact level threshold, the corresponding monitoring data of concern is eliminated;

[0025] When the impact degree is greater than the impact degree threshold, the comprehensive impact degree of the corresponding monitoring data of concern is generated according to the impact degree of the corresponding monitoring data of concern and the weight coefficient of the ammonia production evaluation index;

[0026] The calculation formula for the comprehensive impact degree is:

[0027] Y1=Y*u;

[0028] Among them, Y1 is the comprehensive impact degree of the monitoring data, and u is the weight coefficient of the ammonia production evaluation index corresponding to the monitoring data;

[0029] The monitoring data of concern with a comprehensive impact degree greater than the comprehensive impact degree threshold is set as the characteristic monitoring data of the corresponding historical denitrification target of each ammonia production sub-link.

[0030] In some embodiments of the present application, an ammonia production evaluation value of the current ammonia production sub-step is generated according to the comparison result, including:

[0031] Obtain the real-time denitration target of the current ammonia production sub-link, compare the real-time denitration target with the historical denitration target of the current ammonia production sub-link, determine the characteristic monitoring data of the current ammonia production sub-link based on the comparison result and obtain the corresponding real-time characteristic monitoring data;

[0032] According to the degree of influence of the characteristic monitoring data on the ammonia production evaluation index of the current ammonia production sub-link, the corresponding relationship between the real-time characteristic monitoring data and each ammonia production evaluation index is determined, and the real-time characteristic monitoring data is compared with the standard characteristic detection data of the corresponding ammonia production evaluation index to obtain multiple real-time deviation values;

[0033] Generate an ammonia production evaluation value of the current ammonia production sub-link according to all real-time deviation values ​​and the weight coefficient of the corresponding ammonia production evaluation index;

[0034] The calculation formula of the ammonia production evaluation value is:

[0035]

[0036] Among them, A is the ammonia production evaluation value of the current ammonia production sub-link, r is the total number of ammonia production evaluation indicators of the current ammonia production sub-link, u1 is the weight coefficient of the first ammonia production evaluation indicator, △P1 s1 X1 is the real-time deviation value between the s1th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the first ammonia production evaluation index, s1 is the weight coefficient of the s1th real-time characteristic monitoring data in the first ammonia production evaluation index, u2 is the weight coefficient of the second ammonia production evaluation index, △P2 s2 X2 is the real-time deviation value between the s2th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the second ammonia production evaluation index, s2 is the weight coefficient of the s2th real-time characteristic monitoring data in the second ammonia production evaluation index, ur is the weight coefficient of the rth ammonia production evaluation index, △Pr sr Xr is the real-time deviation value between the srth real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the rth ammonia production evaluation index, sr It is the weight coefficient of the srth real-time characteristic monitoring data in the rth ammonia production evaluation index.

[0037] In some embodiments of the present application, multiple first control strategies for determining ammonia production evaluation values ​​based on a preset control analysis model include:

[0038] Determine a preset control strategy library of a real-time denitration target in a denitration target-control strategy mapping table of a current ammonia production sub-link, wherein the preset control strategy library includes preset ammonia production evaluation values ​​of the real-time denitration target, and each preset ammonia production evaluation value is associated with a specific preset control strategy;

[0039] A similarity analysis is performed between the ammonia production evaluation value of the current ammonia production sub-link and the preset ammonia production evaluation value in the preset control strategy library, and the preset ammonia production evaluation value with a similarity greater than a preset similarity threshold is screened out, and the preset control strategy associated with the screened preset ammonia production evaluation value is set as the first control strategy.

[0040] In some embodiments of the present application, determining the associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship between all ammonia production sub-links includes:

[0041] Obtain a historical control log of a historical denitration target of the current ammonia production sub-link, wherein the historical control log includes a historical ammonia production evaluation value in different historical monitoring logs for each historical denitration target;

[0042] The real-time denitrification target of the current ammonia production sub-link is compared with the historical denitrification target, and multiple historical ammonia production evaluation values ​​in different historical monitoring logs of the real-time denitrification target are screened out according to the comparison result;

[0043] Subtracting the multiple historical ammonia production evaluation values ​​of the current ammonia production sub-link in different historical monitoring logs respectively, obtaining the first historical ammonia production evaluation value difference of the current ammonia production sub-link in different historical monitoring logs, and filtering out the historical monitoring logs whose first historical ammonia production evaluation value difference is greater than a preset second difference threshold;

[0044] Subtract the historical ammonia production evaluation values ​​of the same ammonia production sub-link after the current ammonia production sub-link in the filtered historical monitoring logs to obtain a second historical ammonia production evaluation value difference;

[0045] If the second ammonia production evaluation value difference is greater than the preset third difference threshold, the corresponding ammonia production sub-link is set as the associated ammonia production sub-link of the current ammonia production sub-link.

[0046] In some embodiments of the present application, obtaining a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link includes:

[0047] Constructing simulation models of the current ammonia production sub-link and the associated ammonia production sub-links of the current ammonia production sub-link;

[0048] The simulation model is controlled according to each first control strategy to obtain the simulation data change characteristics of the current ammonia production sub-link and the simulated ammonia production change characteristics of the associated ammonia production sub-link after each first control strategy, wherein the simulation data change characteristics include the predicted change trend and predicted change value of the real-time characteristic monitoring data, and the simulated ammonia production change characteristics include the predicted change trend and predicted change value of the initial ammonia production evaluation value;

[0049] Generate a first application evaluation value corresponding to the first control strategy according to the predicted change trend of each real-time feature monitoring data in the simulation data change characteristics, and generate a second application evaluation value corresponding to the first control strategy according to the predicted change value of each real-time feature monitoring data in the simulation data change characteristics;

[0050] The calculation formula of the simulation application evaluation value is:

[0051]

[0052] Wherein, F is the simulation application evaluation value of the first control strategy, w1v is the first application evaluation value generated by the predicted change trend of the v-th real-time feature monitoring data, c1 is the weight coefficient of the predicted change trend, w2v is the second application evaluation value generated by the predicted change value of the v-th real-time feature monitoring data, c2 is the weight coefficient of the predicted change value, and q1v is the weight coefficient of the v-th real-time feature monitoring data;

[0053] Generate a first impact evaluation value corresponding to the first control strategy according to the predicted change trend of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature, and generate a second impact evaluation value corresponding to the first control strategy according to the predicted change value of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature;

[0054] The calculation formula of the simulation impact evaluation value is:

[0055]

[0056] Among them, F is the simulation impact evaluation value of the first control strategy, b1v is the first impact evaluation value generated by the predicted change trend of the zth associated ammonia production sub-link, b2v is the second impact evaluation value generated by the predicted change value of the zth associated ammonia production sub-link, q2z is the weight coefficient of the zth associated ammonia production sub-link, and j is the total number of associated ammonia production sub-links of the current ammonia production sub-link.

[0057] In some embodiments of the present application, generating a comprehensive simulation evaluation value corresponding to the first control strategy according to the simulation application evaluation value and the simulation impact evaluation value includes:

[0058] The calculation formula of the comprehensive simulation evaluation value is:

[0059] F0=F1*k1+F2*k2;

[0060] Among them, F0 is the comprehensive simulation evaluation value of the first control strategy, k1 is the weight coefficient of the simulation application evaluation value, and k2 is the weight coefficient of the simulation application evaluation value.

[0061] In some embodiments of the present application, the final control strategy is determined according to the comprehensive simulation evaluation value and the control instructions of the current ammonia production sub-link are generated, including:

[0062] The first control strategies are sorted according to the comprehensive simulation evaluation values ​​to obtain sorting results of multiple first control strategies, the first-ranked first control strategy is set as the final control strategy of the current ammonia production sub-link, and corresponding control instructions are generated according to the final control strategy.

[0063] Compared with the prior art, the automated urea hydrolysis system for producing ammonia in the embodiment of the present application has the following beneficial effects:

[0064] By determining the characteristic monitoring data of each ammonia production sub-link and calculating the ammonia production evaluation value of the ammonia production sub-link, the abnormal situation of the ammonia production sub-link is discovered in time according to the ammonia production evaluation value and a plurality of first control strategies are quickly generated, and the plurality of first control strategies are simulated to obtain the comprehensive simulation evaluation value of the first control strategy, so as to determine the final control strategy, ensure the stable operation of the system and improve the control effect of the system, provide a stable source of ammonia for the denitrification system, and thus improve the denitrification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a schematic diagram of an automated urea hydrolysis system for producing ammonia in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0066] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0067] 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.

[0068] 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.

[0069] 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.

[0070] like Figure 1 As shown, an automated urea hydrolysis ammonia production system according to a preferred embodiment of the present application comprises:

[0071] A division module is used to divide the urea hydrolysis ammonia production system into multiple ammonia production sub-links, and determine the characteristic monitoring data of each ammonia production sub-link according to the influence of the historical monitoring data of each ammonia production sub-link on the ammonia production evaluation index;

[0072] An acquisition module is used to acquire real-time characteristic monitoring data of the current ammonia production sub-link, and compare it with the standard characteristic monitoring data, generate an ammonia production evaluation value of the current ammonia production sub-link according to the comparison result, and determine multiple first control strategies for the ammonia production evaluation value based on a preset control analysis model;

[0073] A determination module, used to determine the associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship between all ammonia production sub-links;

[0074] A simulation module, used to simulate each first automatic control strategy to obtain a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link;

[0075] The control module is used to generate a comprehensive simulation evaluation value corresponding to the first control strategy according to the simulation application evaluation value and the simulation impact evaluation value, and generate a control instruction for the current ammonia production sub-link according to the first control strategy with the largest comprehensive simulation evaluation value.

[0076] In this embodiment, the ammonia production sub-links include urea dissolution, hydrolysis, ammonia storage, metering, ammonia injection, etc. The ammonia production evaluation index refers to the evaluation index related to the final ammonia demand, denitrification efficiency, stable operation of the system, etc. in each ammonia production sub-link. For example, the ammonia production evaluation index in urea dissolution includes dissolution efficiency, the quality of the urea solution after dissolution, etc.

[0077] In some embodiments of the present application, determining characteristic monitoring data of each ammonia production sub-link includes:

[0078] Pre-set the ammonia production evaluation index of each ammonia production sub-link, and set the weight coefficient of each ammonia production evaluation index;

[0079] Obtain several historical monitoring logs of each ammonia production sub-link, and divide the historical monitoring logs according to the historical denitrification target to obtain multiple historical monitoring logs for the same historical denitrification target;

[0080] Determine the standard monitoring period corresponding to the historical operating condition based on the historical monitoring period of multiple historical monitoring logs of the same historical denitrification target, use the standard monitoring period as the time reference line corresponding to the historical operating condition, and set the data collection node at a preset time interval;

[0081] According to each data collection node, historical monitoring data from multiple historical monitoring logs of a historical denitrification target and historical reference evaluation values ​​of each ammonia production evaluation index are obtained, and mapped to the corresponding time reference line to obtain the monitoring data of each historical operating condition-ammonia production evaluation index influence relationship diagram;

[0082] Based on the historical monitoring data in the same historical monitoring log in the monitoring data-ammonia production evaluation index influence relationship diagram and the historical reference evaluation value of each ammonia production evaluation index, a comprehensive analysis is performed to select data collection nodes whose fluctuation degree of the historical reference evaluation value of each ammonia production evaluation index in each historical monitoring log is greater than a preset first fluctuation degree threshold, and set them as the focus nodes of the corresponding ammonia production evaluation index;

[0083] Obtain the historical monitoring data of the previous adjacent historical period of each node of interest in each historical monitoring log, filter out the historical monitoring data whose fluctuation degree is greater than the preset second fluctuation degree threshold, and set the filtered historical monitoring data as the monitoring data of interest for the ammonia production evaluation index corresponding to the current node of interest;

[0084] Obtain a first fluctuation value of a historical reference evaluation value of an ammonia production evaluation index corresponding to a focus node and a second fluctuation value of the corresponding focus monitoring data, and generate a sub-degree of influence of the focus monitoring data on the corresponding ammonia production evaluation index according to the first fluctuation value and the second fluctuation value;

[0085] According to the number of occurrences of the same monitoring data of concern in different historical monitoring logs of the same historical denitrification target and the degree of influence of the corresponding monitoring data of concern in the historical monitoring logs on the corresponding ammonia production evaluation index, the degree of influence of the corresponding monitoring data of concern on the corresponding ammonia production evaluation index is generated.

[0086] In this embodiment, the historical denitrification target refers to the target of the power plant to meet the ammonia demand under different load conditions to cope with the demand for denitrification agents when the load changes. The degree of influence = the first fluctuation value / the second fluctuation value. When the first fluctuation value is larger and the second fluctuation value is smaller, it means that the degree of influence of the monitoring data on the corresponding ammonia production evaluation index is greater. The previous adjacent historical time period of each focus node is within the previous 10 minutes of each focus node. According to the degree of fluctuation of the historical monitoring data in the previous adjacent historical time period of the focus node, the monitoring data that affects the historical reference evaluation value is screened out.

[0087] In this embodiment, the historical reference evaluation value refers to the evaluation value of the corresponding ammonia production evaluation index in each historical monitoring log that is directly analyzed, studied and evaluated based on the application of expert knowledge and experience. It is set in advance, and the degree of influence of the historical monitoring log on the historical reference evaluation value and the corresponding ammonia production evaluation index is determined according to the degree of fluctuation of the historical reference evaluation value and the historical monitoring log. The credibility of the influence degree is judged based on multiple historical monitoring logs, thereby obtaining the influence degree, improving the accuracy of the characteristic monitoring data of each subsequent ammonia production sub-link, thereby ensuring the control efficiency of the automated ammonia production control system and the denitrification efficiency of the urea hydrolysis ammonia production system.

[0088] In some embodiments of the present application, determining characteristic monitoring data of each ammonia production sub-link includes:

[0089] The calculation formula for the impact degree is:

[0090]

[0091] Among them, Y is the influence degree of the concerned monitoring data on the corresponding ammonia production evaluation index, m is the number of occurrences of the concerned monitoring data in different historical monitoring logs of the same historical denitrification target, n is the number of all historical monitoring logs of the same historical denitrification target, y0i is the influence degree of the concerned monitoring data appearing in the i-th historical monitoring log on the corresponding ammonia production evaluation index;

[0092] Pre-set impact thresholds;

[0093] When the impact level is less than the impact level threshold, the corresponding monitoring data of concern is eliminated;

[0094] When the impact degree is greater than the impact degree threshold, the comprehensive impact degree of the corresponding monitoring data of concern is generated according to the impact degree of the corresponding monitoring data of concern and the weight coefficient of the ammonia production evaluation index;

[0095] The calculation formula for the comprehensive impact degree is:

[0096] Y1=Y*u;

[0097] Among them, Y1 is the comprehensive impact degree of the monitoring data, and u is the weight coefficient of the ammonia production evaluation index corresponding to the monitoring data;

[0098] The monitoring data of concern with a comprehensive impact degree greater than the comprehensive impact degree threshold is set as the characteristic monitoring data of the corresponding historical denitrification target of each ammonia production sub-link.

[0099] In this embodiment, through the relationship between the degree of influence and the preset degree of influence threshold, the corresponding monitoring data of interest are retained and the weight coefficient of the corresponding ammonia production evaluation index is obtained to determine the comprehensive influence degree of the retained monitoring data of interest, thereby determining the characteristic monitoring data of each ammonia production sub-link under different denitrification targets, improving the accuracy of the characteristic monitoring data, laying the foundation for the subsequent determination of multiple first control strategies, and improving the accuracy and control efficiency of the first control strategy.

[0100] In some embodiments of the present application, an ammonia production evaluation value of the current ammonia production sub-step is generated according to the comparison result, including:

[0101] Obtain the real-time denitration target of the current ammonia production sub-link, compare the real-time denitration target with the historical denitration target of the current ammonia production sub-link, determine the characteristic monitoring data of the current ammonia production sub-link based on the comparison result and obtain the corresponding real-time characteristic monitoring data;

[0102] According to the degree of influence of the characteristic monitoring data on the ammonia production evaluation index of the current ammonia production sub-link, the corresponding relationship between the real-time characteristic monitoring data and each ammonia production evaluation index is determined, and the real-time characteristic monitoring data is compared with the standard characteristic detection data of the corresponding ammonia production evaluation index to obtain multiple real-time deviation values;

[0103] Generate an ammonia production evaluation value of the current ammonia production sub-link according to all real-time deviation values ​​and the weight coefficient of the corresponding ammonia production evaluation index;

[0104] The calculation formula of the ammonia production evaluation value is:

[0105]

[0106] Among them, A is the ammonia production evaluation value of the current ammonia production sub-link, r is the total number of ammonia production evaluation indicators of the current ammonia production sub-link, u1 is the weight coefficient of the first ammonia production evaluation indicator, △P1 s1 X1 is the real-time deviation value between the s1th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the first ammonia production evaluation index, s1 is the weight coefficient of the s1th real-time characteristic monitoring data in the first ammonia production evaluation index, u2 is the weight coefficient of the second ammonia production evaluation index, △P2 s2 X2 is the real-time deviation value between the s2th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the second ammonia production evaluation index, s2 is the weight coefficient of the s2th real-time characteristic monitoring data in the second ammonia production evaluation index, ur is the weight coefficient of the rth ammonia production evaluation index, △Pr sr Xr is the real-time deviation value between the srth real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the rth ammonia production evaluation index, srIt is the weight coefficient of the srth real-time characteristic monitoring data in the rth ammonia production evaluation index.

[0107] In this embodiment, the weight coefficient of the real-time characteristic monitoring data is set according to the influence of the real-time characteristic monitoring data on the corresponding ammonia production evaluation index. The greater the influence, the greater the weight coefficient of the corresponding real-time characteristic monitoring data. The value range of s1, s2, and sr is [0, d], where d refers to the total number of real-time characteristic monitoring data in the current ammonia production sub-link.

[0108] In some embodiments of the present application, multiple first control strategies for determining ammonia production evaluation values ​​based on a preset control analysis model include:

[0109] Determine a preset control strategy library of a real-time denitration target in a denitration target-control strategy mapping table of a current ammonia production sub-link, wherein the preset control strategy library includes preset ammonia production evaluation values ​​of the real-time denitration target, and each preset ammonia production evaluation value is associated with a specific preset control strategy;

[0110] A similarity analysis is performed between the ammonia production evaluation value of the current ammonia production sub-link and the preset ammonia production evaluation value in the preset control strategy library, and the preset ammonia production evaluation value with a similarity greater than a preset similarity threshold is screened out, and the preset control strategy associated with the screened preset ammonia production evaluation value is set as the first control strategy.

[0111] In this embodiment, the preset control strategy is set based on the historical control strategy in the historical monitoring log of multiple historical denitrification targets of the current ammonia production sub-link, and the control effect and control efficiency of the historical control strategy both meet the control targets set in advance.

[0112] In this embodiment, the difference in ammonia production evaluation value = ∣ Ammonia production evaluation value - preset ammonia production evaluation value |, similarity means that the difference between the preset ammonia production evaluation value and the ammonia production evaluation value is small. According to the difference in ammonia production evaluation values, multiple first control strategies are screened out, which lays the foundation for subsequent simulation and determination of the final control strategy, and improves the control efficiency and denitrification efficiency of the automated urea hydrolysis ammonia production system.

[0113] In some embodiments of the present application, determining the associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship between all ammonia production sub-links includes:

[0114] Obtain a historical control log of a historical denitration target of the current ammonia production sub-link, wherein the historical control log includes a historical ammonia production evaluation value in different historical monitoring logs for each historical denitration target;

[0115] The real-time denitrification target of the current ammonia production sub-link is compared with the historical denitrification target, and multiple historical ammonia production evaluation values ​​in different historical monitoring logs of the real-time denitrification target are screened out according to the comparison result;

[0116] Subtracting the multiple historical ammonia production evaluation values ​​of the current ammonia production sub-link in different historical monitoring logs respectively, obtaining the first historical ammonia production evaluation value difference of the current ammonia production sub-link in different historical monitoring logs, and filtering out the historical monitoring logs whose first historical ammonia production evaluation value difference is greater than a preset second difference threshold;

[0117] Subtract the historical ammonia production evaluation values ​​of the same ammonia production sub-link after the current ammonia production sub-link in the filtered historical monitoring logs to obtain a second historical ammonia production evaluation value difference;

[0118] If the second ammonia production evaluation value difference is greater than the preset third difference threshold, the corresponding ammonia production sub-link is set as the associated ammonia production sub-link of the current ammonia production sub-link.

[0119] In this embodiment, the historical ammonia production evaluation value is calculated based on the characteristic monitoring data in the corresponding historical monitoring log. The preset second difference threshold and the preset third difference threshold refer to the minimum ammonia production evaluation value difference of the corresponding ammonia production sub-link of the real-time denitrification target. If the first historical ammonia production evaluation value difference is greater than the preset second difference threshold or the second historical ammonia production evaluation value difference is greater than the preset third difference threshold, it means that the historical ammonia production evaluation value of the current ammonia production sub-link or the corresponding ammonia production sub-link has a large change in the real-time denitrification target. The historical monitoring logs with large changes in the current ammonia production sub-link are screened out, and it is determined whether the historical ammonia production evaluation value of the ammonia production sub-link after the current ammonia production sub-link is affected. If so, it is the associated ammonia production sub-link of the current ammonia production sub-link.

[0120] In this embodiment, the associated ammonia production sub-links of the current ammonia production sub-link are determined through the influence relationship between the historical ammonia production evaluation values ​​of the current ammonia production sub-link and the subsequent ammonia production sub-link in the real-time denitrification target, laying the foundation for the subsequent determination of the application effect of the first control strategy, thereby determining the final control strategy and improving the control efficiency and denitrification efficiency of the urea hydrolysis ammonia production system.

[0121] In some embodiments of the present application, obtaining a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link includes:

[0122] Constructing simulation models of the current ammonia production sub-link and the associated ammonia production sub-links of the current ammonia production sub-link;

[0123] The simulation model is controlled according to each first control strategy to obtain the simulation data change characteristics of the current ammonia production sub-link and the simulated ammonia production change characteristics of the associated ammonia production sub-link after each first control strategy, wherein the simulation data change characteristics include the predicted change trend and predicted change value of the real-time characteristic monitoring data, and the simulated ammonia production change characteristics include the predicted change trend and predicted change value of the initial ammonia production evaluation value;

[0124] Generate a first application evaluation value corresponding to the first control strategy according to the predicted change trend of each real-time feature monitoring data in the simulation data change characteristics, and generate a second application evaluation value corresponding to the first control strategy according to the predicted change value of each real-time feature monitoring data in the simulation data change characteristics;

[0125] The calculation formula of the simulation application evaluation value is:

[0126]

[0127] Wherein, F is the simulation application evaluation value of the first control strategy, w1v is the first application evaluation value generated by the predicted change trend of the v-th real-time feature monitoring data, c1 is the weight coefficient of the predicted change trend, w2v is the second application evaluation value generated by the predicted change value of the v-th real-time feature monitoring data, c2 is the weight coefficient of the predicted change value, and q1v is the weight coefficient of the v-th real-time feature monitoring data;

[0128] Generate a first impact evaluation value corresponding to the first control strategy according to the predicted change trend of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature, and generate a second impact evaluation value corresponding to the first control strategy according to the predicted change value of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature;

[0129] The calculation formula of the simulation impact evaluation value is:

[0130]

[0131] Among them, F is the simulation impact evaluation value of the first control strategy, b1v is the first impact evaluation value generated by the predicted change trend of the zth associated ammonia production sub-link, b2v is the second impact evaluation value generated by the predicted change value of the zth associated ammonia production sub-link, q2z is the weight coefficient of the zth associated ammonia production sub-link, and j is the total number of associated ammonia production sub-links of the current ammonia production sub-link.

[0132] In this embodiment, the simulation data change characteristics refer to the predicted change trends and predicted change values ​​of all real-time characteristic monitoring data after the first control strategy, and the simulated ammonia production change characteristics refer to the predicted change trends and predicted change values ​​of the initial ammonia production evaluation values ​​of the corresponding associated ammonia production sub-links after the first control strategy. The initial ammonia production evaluation value is based on the ammonia production evaluation value of the associated ammonia production sub-link predicted before the first control strategy.

[0133] In this embodiment, the predicted change trend includes a normal trend, an abnormal trend and an unchanged trend. The normal trend refers to the real-time characteristic monitoring data and the initial ammonia production evaluation value developing towards the standard characteristic monitoring data and the standard ammonia production evaluation value in the corresponding ammonia production sub-link. The general trend refers to no development. The abnormal trend refers to the real-time characteristic monitoring data and the initial ammonia production evaluation value developing in the opposite direction of the standard characteristic monitoring data and the standard ammonia production evaluation value in the corresponding ammonia production sub-link. The predicted change trend of each real-time characteristic monitoring data and the initial ammonia production evaluation value corresponds to a corresponding first application evaluation value and a first impact evaluation value. When the predicted change trend is a normal trend, the larger the first application evaluation value and the first impact evaluation value.

[0134] In this embodiment, the predicted change value refers to the change value of the real-time characteristic monitoring data and the initial ammonia production evaluation value after the first control strategy, and the change value can be positive or negative. When the predicted change trend is a normal trend, it is positive, and when it is an abnormal trend, it is negative. In addition, each predicted change value of the real-time characteristic monitoring data and the initial ammonia production evaluation value corresponds to a corresponding second application evaluation value and a fourth application evaluation value. When the predicted change trend is a normal trend and the larger the predicted change value, the larger the second application evaluation value and the second impact evaluation value.

[0135] In this embodiment, the weight coefficient of the real-time characteristic monitoring data is set according to the comprehensive influence of the real-time characteristic monitoring data. The greater the comprehensive influence, the greater the weight coefficient. The weight coefficient of the associated ammonia production sub-link is set according to the importance of the associated ammonia production sub-link to the denitrification target and denitrification efficiency.

[0136] In some embodiments of the present application, generating a comprehensive simulation evaluation value corresponding to the first control strategy according to the simulation application evaluation value and the simulation impact evaluation value includes:

[0137] The calculation formula of the comprehensive simulation evaluation value is:

[0138] F0=F1*k1+F2*k2;

[0139] Among them, F0 is the comprehensive simulation evaluation value of the first control strategy, k1 is the weight coefficient of the simulation application evaluation value, and k2 is the weight coefficient of the simulation application evaluation value.

[0140] In some embodiments of the present application, the final control strategy is determined according to the comprehensive simulation evaluation value and the control instructions of the current ammonia production sub-link are generated, including:

[0141] The first control strategies are sorted according to the comprehensive simulation evaluation values ​​to obtain sorting results of multiple first control strategies, the first-ranked first control strategy is set as the final control strategy of the current ammonia production sub-link, and corresponding control instructions are generated according to the final control strategy.

[0142] In this embodiment, the first control strategies are ranked according to the size of the comprehensive simulation evaluation values, and the first-ranked first control strategy is set as the final control strategy to ensure that the urea hydrolysis system meets the denitration target and improves the denitration efficiency.

[0143] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. An automated urea hydrolysis ammonia production system, characterized in that: include: A division module is used to divide the urea hydrolysis ammonia production system into multiple ammonia production sub-links, and determine the characteristic monitoring data of each ammonia production sub-link according to the influence of the historical monitoring data of each ammonia production sub-link on the ammonia production evaluation index; An acquisition module is used to acquire real-time characteristic monitoring data of the current ammonia production sub-link, and compare it with the standard characteristic monitoring data, generate an ammonia production evaluation value of the current ammonia production sub-link according to the comparison result, and determine multiple first control strategies for the ammonia production evaluation value based on a preset control analysis model; A determination module, used to determine the associated ammonia production sub-link of the current ammonia production sub-link based on the association relationship between all ammonia production sub-links; A simulation module, used to simulate each first automatic control strategy to obtain a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link; The control module is used to generate a comprehensive simulation evaluation value corresponding to the first control strategy according to the simulation application evaluation value and the simulation impact evaluation value, determine the final control strategy according to the comprehensive simulation evaluation value, and generate control instructions for the current ammonia production sub-link.

2. The automated urea hydrolysis system for producing ammonia according to claim 1, characterized in that: Determine the characteristic monitoring data for each ammonia production sub-link, including: Pre-set the ammonia production evaluation index of each ammonia production sub-link, and set the weight coefficient of each ammonia production evaluation index; Obtain several historical monitoring logs of each ammonia production sub-link, and divide the historical monitoring logs according to the historical denitrification target to obtain multiple historical monitoring logs for the same historical denitrification target; Determine the standard monitoring period corresponding to the historical operating condition based on the historical monitoring period of multiple historical monitoring logs of the same historical denitrification target, use the standard monitoring period as the time reference line corresponding to the historical operating condition, and set the data collection node at a preset time interval; According to each data collection node, historical monitoring data from multiple historical monitoring logs of a historical denitrification target and historical reference evaluation values ​​of each ammonia production evaluation index are obtained, and mapped to the corresponding time reference line to obtain the monitoring data of each historical operating condition-ammonia production evaluation index influence relationship diagram; Based on the historical monitoring data in the same historical monitoring log in the monitoring data-ammonia production evaluation index influence relationship diagram and the historical reference evaluation value of each ammonia production evaluation index, a comprehensive analysis is performed to select data collection nodes whose fluctuation degree of the historical reference evaluation value of each ammonia production evaluation index in each historical monitoring log is greater than a preset first fluctuation degree threshold, and set them as the focus nodes of the corresponding ammonia production evaluation index; Obtain the historical monitoring data of the previous adjacent historical period of each node of interest in each historical monitoring log, filter out the historical monitoring data whose fluctuation degree is greater than the preset second fluctuation degree threshold, and set the filtered historical monitoring data as the monitoring data of interest for the ammonia production evaluation index corresponding to the current node of interest; Obtain a first fluctuation value of a historical reference evaluation value of an ammonia production evaluation index corresponding to a focus node and a second fluctuation value of the corresponding focus monitoring data, and generate a sub-degree of influence of the focus monitoring data on the corresponding ammonia production evaluation index according to the first fluctuation value and the second fluctuation value; According to the number of occurrences of the same monitoring data of concern in different historical monitoring logs of the same historical denitrification target and the degree of influence of the corresponding monitoring data of concern in the historical monitoring logs on the corresponding ammonia production evaluation index, the degree of influence of the corresponding monitoring data of concern on the corresponding ammonia production evaluation index is generated.

3. The automated urea hydrolysis ammonia production system according to claim 2, characterized in that: Determine the characteristic monitoring data for each ammonia production sub-link, including: The calculation formula for the impact degree is: Among them, Y is the influence degree of the concerned monitoring data on the corresponding ammonia production evaluation index, m is the number of occurrences of the concerned monitoring data in different historical monitoring logs of the same historical denitrification target, n is the number of all historical monitoring logs of the same historical denitrification target, y0i is the influence degree of the concerned monitoring data appearing in the i-th historical monitoring log on the corresponding ammonia production evaluation index; Pre-set impact thresholds; When the impact level is less than the impact level threshold, the corresponding monitoring data of concern is eliminated; When the impact degree is greater than the impact degree threshold, the comprehensive impact degree of the corresponding monitoring data of concern is generated according to the impact degree of the corresponding monitoring data of concern and the weight coefficient of the ammonia production evaluation index; The calculation formula for the comprehensive impact degree is: Y1=Y*u; Among them, Y1 is the comprehensive impact degree of the monitoring data, and u is the weight coefficient of the ammonia production evaluation index corresponding to the monitoring data; The monitoring data of concern with a comprehensive impact degree greater than the comprehensive impact degree threshold is set as the characteristic monitoring data of the corresponding historical denitrification target of each ammonia production sub-link.

4. The automated urea hydrolysis system for producing ammonia according to claim 3, characterized in that: The ammonia production evaluation value of the current ammonia production sub-link is generated according to the comparison results, including: Obtain the real-time denitration target of the current ammonia production sub-link, compare the real-time denitration target with the historical denitration target of the current ammonia production sub-link, determine the characteristic monitoring data of the current ammonia production sub-link based on the comparison result and obtain the corresponding real-time characteristic monitoring data; According to the degree of influence of the characteristic monitoring data on the ammonia production evaluation index of the current ammonia production sub-link, the corresponding relationship between the real-time characteristic monitoring data and each ammonia production evaluation index is determined, and the real-time characteristic monitoring data is compared with the standard characteristic detection data of the corresponding ammonia production evaluation index to obtain multiple real-time deviation values; Generate an ammonia production evaluation value of the current ammonia production sub-link according to all real-time deviation values ​​and the weight coefficient of the corresponding ammonia production evaluation index; The calculation formula of the ammonia production evaluation value is: Among them, A is the ammonia production evaluation value of the current ammonia production sub-link, r is the total number of ammonia production evaluation indicators of the current ammonia production sub-link, u1 is the weight coefficient of the first ammonia production evaluation indicator, △P1 s1 X1 is the real-time deviation value between the s1th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the first ammonia production evaluation index, s1 is the weight coefficient of the s1th real-time characteristic monitoring data in the first ammonia production evaluation index, u2 is the weight coefficient of the second ammonia production evaluation index, △P2 s2 X2 is the real-time deviation value between the s2th real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the second ammonia production evaluation index, s2 is the weight coefficient of the s2th real-time characteristic monitoring data in the second ammonia production evaluation index, ur is the weight coefficient of the rth ammonia production evaluation index, △Pr sr Xr is the real-time deviation value between the srth real-time characteristic monitoring data and the corresponding standard characteristic monitoring data in the rth ammonia production evaluation index, sr It is the weight coefficient of the srth real-time characteristic monitoring data in the rth ammonia production evaluation index.

5. The automated urea hydrolysis ammonia production system according to claim 4, characterized in that: A plurality of first control strategies for determining ammonia production evaluation values ​​based on a preset control analysis model include: Determine a preset control strategy library of a real-time denitration target in a denitration target-control strategy mapping table of a current ammonia production sub-link, wherein the preset control strategy library includes preset ammonia production evaluation values ​​of the real-time denitration target, and each preset ammonia production evaluation value is associated with a specific preset control strategy; A similarity analysis is performed between the ammonia production evaluation value of the current ammonia production sub-link and the preset ammonia production evaluation value in the preset control strategy library, and the preset ammonia production evaluation value with a similarity greater than a preset similarity threshold is screened out, and the preset control strategy associated with the screened preset ammonia production evaluation value is set as the first control strategy.

6. The automated urea hydrolysis ammonia production system according to claim 5, characterized in that: Based on the association relationship between all ammonia production sub-links, the associated ammonia production sub-link of the current ammonia production sub-link is determined, including: Obtain a historical control log of a historical denitration target of the current ammonia production sub-link, wherein the historical control log includes a historical ammonia production evaluation value in different historical monitoring logs for each historical denitration target; The real-time denitrification target of the current ammonia production sub-link is compared with the historical denitrification target, and multiple historical ammonia production evaluation values ​​in different historical monitoring logs of the real-time denitrification target are screened out according to the comparison result; Subtracting the multiple historical ammonia production evaluation values ​​of the current ammonia production sub-link in different historical monitoring logs respectively, obtaining the first historical ammonia production evaluation value difference of the current ammonia production sub-link in different historical monitoring logs, and filtering out the historical monitoring logs whose first historical ammonia production evaluation value difference is greater than a preset second difference threshold; Subtract the historical ammonia production evaluation values ​​of the same ammonia production sub-link after the current ammonia production sub-link in the filtered historical monitoring logs to obtain a second historical ammonia production evaluation value difference; If the second ammonia production evaluation value difference is greater than the preset third difference threshold, the corresponding ammonia production sub-link is set as the associated ammonia production sub-link of the current ammonia production sub-link.

7. The automated urea hydrolysis system for producing ammonia according to claim 6, characterized in that: Obtaining a simulation application evaluation value of each first control strategy on the current ammonia production sub-link and a simulation impact evaluation value on the associated ammonia production sub-link, including: Constructing simulation models of the current ammonia production sub-link and the associated ammonia production sub-links of the current ammonia production sub-link; The simulation model is controlled according to each first control strategy to obtain the simulation data change characteristics of the current ammonia production sub-link and the simulated ammonia production change characteristics of the associated ammonia production sub-link after each first control strategy, wherein the simulation data change characteristics include the predicted change trend and predicted change value of the real-time characteristic monitoring data, and the simulated ammonia production change characteristics include the predicted change trend and predicted change value of the initial ammonia production evaluation value; Generate a first application evaluation value corresponding to the first control strategy according to the predicted change trend of each real-time feature monitoring data in the simulation data change characteristics, and generate a second application evaluation value corresponding to the first control strategy according to the predicted change value of each real-time feature monitoring data in the simulation data change characteristics; The calculation formula of the simulation application evaluation value is: Wherein, F is the simulation application evaluation value of the first control strategy, w1v is the first application evaluation value generated by the predicted change trend of the v-th real-time feature monitoring data, c1 is the weight coefficient of the predicted change trend, w2v is the second application evaluation value generated by the predicted change value of the v-th real-time feature monitoring data, c2 is the weight coefficient of the predicted change value, and q1v is the weight coefficient of the v-th real-time feature monitoring data; Generate a first impact evaluation value corresponding to the first control strategy according to the predicted change trend of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature, and generate a second impact evaluation value corresponding to the first control strategy according to the predicted change value of the initial ammonia production evaluation value of each associated ammonia production sub-link in the simulated ammonia production change feature; The calculation formula of the simulation impact evaluation value is: Among them, F is the simulation impact evaluation value of the first control strategy, b1v is the first impact evaluation value generated by the predicted change trend of the zth associated ammonia production sub-link, b2v is the second impact evaluation value generated by the predicted change value of the zth associated ammonia production sub-link, q2z is the weight coefficient of the zth associated ammonia production sub-link, and j is the total number of associated ammonia production sub-links of the current ammonia production sub-link.

8. The automated urea hydrolysis ammonia production system according to claim 7, characterized in that: Generating a comprehensive simulation evaluation value corresponding to the first control strategy according to the simulation application evaluation value and the simulation impact evaluation value, including: The calculation formula of the comprehensive simulation evaluation value is: F0=F1*k1+F2*k2; Among them, F0 is the comprehensive simulation evaluation value of the first control strategy, k1 is the weight coefficient of the simulation application evaluation value, and k2 is the weight coefficient of the simulation application evaluation value.

9. The automated urea hydrolysis ammonia production system according to claim 8, characterized in that: The final control strategy is determined based on the comprehensive simulation evaluation value and the control instructions for the current ammonia production sub-link are generated, including: The first control strategies are sorted according to the comprehensive simulation evaluation values ​​to obtain sorting results of multiple first control strategies, the first-ranked first control strategy is set as the final control strategy of the current ammonia production sub-link, and corresponding control instructions are generated according to the final control strategy.

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