Gasifier model optimization method, device and computer readable storage medium

Abstract

The embodiments of the present invention disclose a method, device and computer-readable storage medium for optimizing a gasifier model. The method includes: virtually partitioning the gasifier according to temperature; enabling the gasifier model to input materials divided from the total material based on respective proportional coefficients in each virtual partition, so that each virtual partition independently performs a gasification reaction; enabling the gasifier model to determine the virtual value of the gasifier parameter after mixing and quenching the transformed virtual partitions after each virtual partition reaches gasification reaction equilibrium; determining the detected value of the gasifier parameter when the total material is input; adjusting the proportional coefficient based on the comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter. The embodiments of the present invention convert the original gasifier model as a mechanism model into a discrete linearized data model, which can save calculation time.

Description

Technical Field

[0001] The present invention relates to the field of industrial control technology, and in particular to a method and device for optimizing a gasifier model and a computer-readable storage medium. Background Art

[0002] During the gasification process of coal, the gasification substances and auxiliary substances undergo violent gasification reactions in the gasifier. The main characteristics of the fluidized bed can be summarized as: (1) strong coupling between the flow field, temperature field and reaction field; (2) the transient process caused by pure oxygen is intensified, and the flame flickers can be seen; (3) the strong turbulence caused by the unstable coal powder fed into the high-pressure reactor. In addition, it also has the characteristics of high speed and high temperature, and reaches reaction equilibrium in seconds or milliseconds. After the gasification process is completed, the washed gas will flow out of the boundary area and the slag will be discharged from the reaction chamber. The temperature inside the gasifier is very high, and the flame center temperature may be as high as 2000℃, and even the average temperature can be higher than 1300℃. In today's industrial applications, there is no measurement method for high temperatures. In addition, the measurement accuracy of incoming coal and syngas is very challenging.

[0003] The current gasifier model generally adopts a lumped parameter model or a computational fluid dynamics (CFD) model. For the lumped parameter model, since the flow field, temperature field and reaction field in the reaction chamber are not uniform, there is a big discrepancy between the model calculation results and the actual measurement results. The CFD model requires a long calculation time, and the measurement points used in the actual system are not enough to support the verification of various assumptions in the CFD model. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and computer-readable storage medium for optimizing a gasifier model.

[0005] The technical solution of the present invention is as follows:

[0006] A method for optimizing a gasifier model, comprising:

[0007] Virtually partitioning the gasifier according to temperature;

[0008] enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition so as to independently perform gasification reaction by each virtual partition;

[0009] The gasifier model is enabled to determine virtual values ​​of gasifier parameters after mixing and quenching the transformed virtual partitions after the virtual partitions reach gasification reaction equilibrium;

[0010] Determining the detected value of the gasifier parameter when the total material is input;

[0011] The proportional coefficient is adjusted based on a comparison result of the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

[0012] It can be seen that the implementation mode of the present invention calculates the mixed virtual value through the partition mechanism steady state, and then corrects it through the detection value (such as massive operation data). It can convert the gasifier model as a mechanism model into a discrete linear data model, so as to quickly predict the reaction components to meet the millisecond and second level needs of APC / RTO and operation diagnosis, and also ensure the accuracy of the model calculation results.

[0013] In one embodiment, the virtually partitioning the gasifier according to temperature includes: dividing the gasifier into a first virtual partition and a second virtual partition according to temperature;

[0014] Inputting the materials separated from the total materials based on the respective proportion coefficients in each virtual partition includes: in the first virtual partition, inputting the materials separated from the total materials according to the proportion coefficient a%; in the second virtual partition, inputting the materials separated from the total materials according to the proportion coefficient (100-a)%;

[0015] The adjusting the proportional coefficient based on the comparison result between the detection value of the gasifier parameter and the virtual value includes: adjusting the value of a based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0016] Therefore, a virtual partitioning method based on corresponding to two temperature values ​​is implemented, which has the advantage of being easy to implement.

[0017] In one embodiment, the virtually partitioning the gasifier according to temperature is: dividing the gasifier into a first virtual partition, a second virtual partition, and a second virtual partition according to temperature;

[0018] Inputting the materials separated from the total materials based on the respective proportion coefficients in each virtual partition includes: in the first virtual partition, inputting the materials separated from the total materials according to the proportion coefficient a%; in the second virtual partition, inputting the materials separated from the total materials according to the proportion coefficient b%; in the third virtual partition, inputting the materials separated from the total materials according to the proportion coefficient (100-ab)%;

[0019] The adjusting the proportional coefficient based on the comparison result between the detection value of the gasifier parameter and the virtual value includes: adjusting the values ​​of a and b based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0020] Therefore, a virtual partitioning method based on corresponding to three temperature values ​​is implemented, which can improve the accuracy of the model calculation results.

[0021] In one embodiment, adjusting the proportional coefficient based on the comparison result between the detected value of the gasifier parameter and the virtual value includes at least one of the following:

[0022] When the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, increasing the proportional coefficient of the virtual partition corresponding to the high temperature or decreasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0023] When the detected value of the syngas temperature at the outlet is less than the virtual value of the syngas temperature at the outlet, reducing the proportional coefficient of the virtual partition corresponding to the high temperature or increasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0024] When the detected value of the syngas component at the outlet is more inclined to a high temperature condition than the virtual value of the syngas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is increased or the proportional coefficient of the virtual partition corresponding to the low temperature is decreased;

[0025] When the detected value of the syngas composition at the outlet is more inclined to the low temperature condition than the virtual value of the syngas composition at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is reduced or the proportional coefficient of the virtual partition corresponding to the low temperature is increased.

[0026] It can be seen that the proportional coefficient is adjusted by comparing the detection value with the virtual value to try to overcome the difference between the detection value and the virtual value, so the gasifier model is more accurate.

[0027] In one embodiment, the method further comprises:

[0028] enabling the gasifier model to determine the first time from the total material input moment to the outlet stabilization moment;

[0029] Detecting a second time from the total material input moment to the outlet stabilization moment;

[0030] Based on the difference between the first time and the second time, the inertia time constant of the gasifier model is adjusted.

[0031] Therefore, the inertia time constant of the gasifier model can be corrected by the time difference.

[0032] In one embodiment, determining the detection value of the gasifier parameter when the total material is input includes: obtaining the current detection value of the gasifier parameter when the total material is input, or querying a historical database to obtain the historical detection value of the gasifier parameter when the total material is input.

[0033] Therefore, the gasifier model can be corrected using massive historical data, and the gasifier model can also be corrected using real-time data.

[0034] In one embodiment, the gasifier parameters are: parameters at the outlet or the periphery of the outlet of the gasifier; wherein the gasifier parameters include at least one of the following: synthesis gas temperature; synthesis gas composition; burner cooling water temperature difference; burner support absorption heat; water-cooled wall absorption heat; oxygen-coal-steam ratio; slag mouth absorption heat; slag particle size distribution; slag and filter cake ratio; thermal coupling temperature distribution.

[0035] Therefore, the gasifier parameters have multiple implementation modes and a wide range of applications.

[0036] An optimization device for a gasifier model, comprising:

[0037] A partitioning module, used for virtually partitioning the gasifier according to temperature;

[0038] An input module for enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition so as to independently perform a gasification reaction by each virtual partition;

[0039] A virtual value determination module, used to enable the gasifier model to determine virtual values ​​of gasifier parameters after mixing and quenching the transformed virtual partitions after the virtual partitions reach gasification reaction equilibrium;

[0040] A detection value determination module, used to determine the detection value of the gasifier parameter when the total material is input;

[0041] The adjustment module is used to adjust the proportional coefficient based on the comparison result of the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0042] It can be seen that the implementation mode of the present invention calculates the mixed virtual value through the partition mechanism steady state, and then corrects it through the detection value (such as massive operation data). It can convert the gasifier model as a mechanism model into a discrete linear data model, so as to quickly predict the reaction components to meet the millisecond and second level needs of APC / RTO and operation diagnosis, and also ensure the accuracy of the model calculation results.

[0043] In one embodiment, a partition module is used to divide the gasifier into a first virtual partition and a second virtual partition according to temperature;

[0044] The input of materials separated from the total materials based on respective proportional coefficients in each virtual partition includes: in the first virtual partition, inputting materials separated from the total materials according to the proportional coefficient a%; in the second virtual partition, inputting materials separated from the total materials according to the proportional coefficient (100-a)%; an adjustment module is used to adjust the value of a based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0045] Therefore, a virtual partitioning method based on corresponding to two temperature values ​​is implemented, which has the advantage of being easy to implement.

[0046] In one embodiment, a partitioning module is used to divide the gasifier into a first virtual partition, a second virtual partition and a third virtual partition according to temperature; wherein in each virtual partition, materials separated from the total material based on respective proportional coefficients are input, including: in the first virtual partition, materials separated from the total material according to proportional coefficient a% are input; in the second virtual partition, materials separated from the total material according to proportional coefficient b% are input; in the third virtual partition, materials separated from the total material according to proportional coefficient (100-ab)% are input; an adjustment module is used to adjust the values ​​of a and b based on the comparison result of the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0047] Therefore, a virtual partitioning method based on corresponding to three temperature values ​​is implemented, which can improve the accuracy of the model calculation results.

[0048] In one embodiment, the adjustment module is configured to perform at least one of the following:

[0049] When the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, increasing the proportional coefficient of the virtual partition corresponding to the high temperature or decreasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0050] When the detected value of the syngas temperature at the outlet is less than the virtual value of the syngas temperature at the outlet, reducing the proportional coefficient of the virtual partition corresponding to the high temperature or increasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0051] When the detected value of the syngas component at the outlet is more inclined to a high temperature condition than the virtual value of the syngas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is increased or the proportional coefficient of the virtual partition corresponding to the low temperature is decreased;

[0052] When the detected value of the syngas composition at the outlet is more inclined to the low temperature condition than the virtual value of the syngas composition at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is reduced or the proportional coefficient of the virtual partition corresponding to the low temperature is increased.

[0053] It can be seen that the proportional coefficient is adjusted by comparing the detection value with the virtual value to try to overcome the difference between the detection value and the virtual value, so the gasifier model is more accurate.

[0054] In one embodiment, the adjustment module is also used to enable the gasifier model to determine a first time from the total material input moment to the outlet stabilization moment; detect a second time from the total material input moment to the outlet stabilization moment; and adjust the inertia time constant of the gasifier model based on the difference between the first time and the second time.

[0055] Therefore, the inertia time constant of the gasifier model can be corrected by the time difference.

[0056] A gasifier model optimization device comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program implements the gasifier model optimization method as described in any one of the above items when executed by the processor.

[0057] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for optimizing a gasifier model as described in any one of the above items is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 The present invention is a flowchart of a method for optimizing a gasifier model according to an embodiment of the present invention.

[0059] Figure 2 The figure is a flow chart of an optimization method for two virtual partitions according to an embodiment of the present invention.

[0060] Figure 3 The flowchart of the optimization method of three virtual partitions according to the implementation mode of the present invention.

[0061] Figure 4 It is a structural diagram of an optimization device for a gasifier model according to an embodiment of the present invention.

[0062] Figure 5 It is an exemplary structural block diagram of a gasifier model optimization device with a memory-processor architecture according to an embodiment of the present invention.

[0063] The reference numerals are as follows:

[0064]

[0065] DETAILED DESCRIPTION

[0066] In order to make the technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and implementation methods. It should be understood that the specific implementation methods described herein are only used to illustrate the present invention and are not intended to limit the scope of protection of the present invention.

[0067] For the sake of brevity and intuitiveness in description, the scheme of the present invention is explained below by describing several representative implementations. A large number of details in the implementation are only used to help understand the scheme of the present invention. However, it is obvious that the technical solution of the present invention may not be limited to these details when implemented. In order to avoid unnecessarily obscuring the scheme of the present invention, some implementations are not described in detail, but only a framework is given. Hereinafter, "including" means "including but not limited to", and "according to..." means "at least according to..., but not limited to only according to...". Due to the language habits of Chinese, when the number of a component is not specifically specified below, it means that the component can be one or more, or can be understood as at least one.

[0068] The applicant found that in the actual operation of the gasifier, the operator can only rely on the methane and carbon dioxide content at the outlet of the gasifier and the temperature difference of the burner cooling water to vaguely judge the condition of the gasifier based on experience. However, these quantities all have corresponding hysteresis that cannot be ignored, may be very conservative, and are greatly affected by human factors. The gasification state may not be good (it is not that the low gasification temperature is necessarily more secure for the protection of the burner, ramming material layer, and water-cooled wall layer), or it may have been burned. The lack or inaccuracy of the gasifier model leads to a deviation in the understanding of the reaction process, resulting in a large fluctuation range of the control process. For example, the fluctuation of the oxygen-coal ratio leads to a decrease in the life of the burner and the life of the furnace wall. The bad gasification state leads to an increase in dust content, too fine ash, more fine ash, more filter cake, and a decrease in carbon conversion rate. At the same time, it causes difficulties for downstream synthesis gas washing and black water treatment, causing abrasion, corrosion, and various problems such as caking.

[0069] The gasifier model optimization method of the embodiment of the present invention is based on the integration of mechanism modeling and big data analysis, the integration of transient and static modeling, and is closely related to the measurement data to achieve accuracy, demand and calculation speed. In the embodiment of the present invention, the existing gasifier model (i.e., mechanism model) in the form of a lumped parameter model that is currently widely used is corrected and optimized using detection values ​​(such as massive operating data), thereby converting the gasifier model of the mechanism model into a discrete linearized data model, which can quickly predict the reaction components to meet the millisecond and second requirements of APC / RTO and operation diagnosis, and also ensure the accuracy of the model calculation results.

[0070] In the embodiment of the present invention, the gasifier can be divided into virtual areas operating at at least two different temperatures. It is assumed that each virtual area reaches a stable reaction before mixing, and it is assumed that the conversion reaction is quenched to a certain degree, and finally matched with the detected furnace composition and flow rate under the same material. Among them, the input material is distributed to each virtual area according to the percentage, and the percentage is a variable variable. The gasifier model performs energy and mass reaction balance calculations in each virtual area, and then performs a mixing process to calculate the outlet temperature, composition and flow rate (that is, a virtual value as one of the comparison objects), and the comparison object is the real corresponding detection parameter under the same material.

[0071] Figure 1 The present invention is a flowchart of a method for optimizing a gasifier model according to an embodiment of the present invention.

[0072] like Figure 1 As shown, the method includes:

[0073] Step 101: Virtually partition the gasifier according to temperature.

[0074] Step 102: enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition, so that each virtual partition independently performs a gasification reaction.

[0075] Here, the gasifier model is enabled to input the materials divided from the total materials based on their respective proportional coefficients in each virtual partition, so that each virtual partition can independently perform the gasification reaction. Among them: the gasifier model is the mechanism model of the gasifier. The mechanism model can be pre-generated based on a variety of modeling methods. The mechanism model, also known as the white box model, is an accurate mathematical model established based on the internal mechanism of the object, the production process, or the transfer mechanism of the material flow. It is a mathematical model of the object or process obtained based on the mass balance equation, the energy balance equation, the momentum balance equation, the phase balance equation, and some physical property equations, chemical reaction laws, etc. The parameters of the mechanism model are easy to adjust, and the obtained model has strong adaptability. The disadvantage is that for some objects, it is difficult for people to write its mathematical expression, or some coefficients in the expression are difficult to determine, so it cannot be applied. The mechanism model often requires a large number of parameters. If these parameters cannot be obtained well, it will also affect the simulation effect of the model.

[0076] Step 103: enabling the gasifier model to determine virtual values ​​of gasifier parameters after mixing the virtual partitions and quenching the transformed virtual partitions after the gasification reaction equilibrium is reached.

[0077] Step 104: Determine the detection value of the gasifier parameter when the total material is input.

[0078] Specifically, the determination of the detection value of the gasifier parameter includes: obtaining the current detection value of the gasifier parameter, or querying the historical database to obtain the historical detection value of the gasifier parameter. Preferably, the gasifier parameter is: the parameter at the outlet or the periphery of the outlet of the gasifier; wherein the gasifier parameter includes at least one of the following: syngas temperature; syngas composition; burner cooling water temperature difference; burner support absorption heat; water-cooled wall absorption heat; oxygen-coal-steam ratio; slag mouth absorption heat; slag particle size distribution; slag and filter cake ratio; thermocouple temperature distribution, etc.

[0079] Step 105: Adjusting the proportionality coefficient based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

[0080] Here, the principle of adjusting the proportional coefficient is that the virtual value of the gasifier parameter calculated based on the adjusted proportional coefficient is closer to the detected value of the gasifier parameter than the virtual value of the gasifier parameter calculated based on the proportional coefficient before adjustment.

[0081] In one embodiment, the adjusting of the proportionality coefficient based on the comparison result between the detected value of the gasifier parameter and the virtual value in step 105 includes at least one of the following:

[0082] (1) when the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, increasing the proportional coefficient of the virtual partition corresponding to the high temperature or decreasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0083] (2) when the detected value of the syngas temperature at the outlet is less than the virtual value of the syngas temperature at the outlet, reducing the proportional coefficient of the virtual partition corresponding to the high temperature or increasing the proportional coefficient of the virtual partition corresponding to the low temperature;

[0084] (3) when the detected value of the syngas component at the outlet is more inclined to a high temperature condition than the virtual value of the syngas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is increased or the proportional coefficient of the virtual partition corresponding to the low temperature is decreased;

[0085] (4) When the detected value of the synthesis gas component at the outlet is closer to a low state than the virtual value of the synthesis gas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is reduced or the proportional coefficient of the virtual partition corresponding to the low temperature is increased.

[0086] The implementation process of the present invention is described below by taking the division into two virtual partitions as an example.

[0087] In one embodiment, the virtual zoning of the gasifier according to temperature in step 101 is as follows: the gasifier is divided into a first virtual zone and a second virtual zone according to temperature; wherein in each virtual zone, materials separated from the total material based on respective proportional coefficients are input, including: in the first virtual zone, materials separated from the total material according to proportional coefficient a% are input; in the second virtual zone, materials separated from the total material according to proportional coefficient (100-a)% are input; in step 105, adjusting the proportional coefficient based on the comparison result between the detection value of the gasifier parameter and the virtual value includes: modifying the value of a based on the comparison process between the detection value of the gasifier parameter and the virtual value.

[0088] Figure 2 The figure is a flow chart of an optimization method for two virtual partitions according to an embodiment of the present invention.

[0089] A gasifier model in the form of a lumped parameter model has been pre-established, and a preset proportional coefficient a is saved in the gasifier model. During the simulation of the gasifier model, a total material 21 including coal, water, steam, oxygen, nitrogen, carbon dioxide, carbon monoxide, hydrogen and methane is input into the gasifier 20. The gasifier 20 is divided into two virtual partitions, namely the first virtual partition 22 (corresponding to the polygon ACDEFGB) and the second virtual partition 23 (the irregular shape of the gasifier 20 after removing the polygon ACDEFGB). The first virtual partition 22 operates at 1400°C, and the second virtual partition 23 operates at 1600°C. a% of the total material is input into the first virtual partition 22, and (100-a)% of the total material is input into the second virtual partition 23. In the gasifier model, the first virtual partition 22 and the second virtual partition 23 are simulated to perform gasification reactions independently. Furthermore, the gasifier model further determines virtual values ​​of gasifier parameters after a predetermined amount of quenching transformation 24 is performed after the first virtual partition 22 and the second virtual partition 23 reach gasification reaction equilibrium and after the first virtual partition 22 and the second virtual partition 23 are mixed.

[0090] Furthermore, the detected value of the gasifier parameter after the same total material is input into the real gasifier 20 and the predetermined amount of quenching transformation is also performed (for example, retrieved from the history database). Then, based on the comparison result of the detected value of the gasifier parameter and the virtual value of the gasifier parameter (the parameters used for comparison are of the same type), the value of the proportionality coefficient a in the gasifier model is adjusted.

[0091] For example, when it is found that the detected value of the synthesis gas temperature at the outlet is greater than the virtual value of the synthesis gas temperature at the outlet, the proportional coefficient (i.e. (100-a)%) of the virtual partition corresponding to the high temperature (the second virtual partition 23) is increased in the gasifier model, or the proportional coefficient (a%) of the virtual partition corresponding to the low temperature (the first virtual partition 23) is reduced, that is, the proportional coefficient a is reduced.

[0092] For another example, when the detected value of the synthesis gas component at the outlet is more inclined to a high temperature condition than the virtual value of the synthesis gas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature (the second virtual partition 23) is increased or the proportional coefficient of the virtual partition corresponding to the low temperature (the first virtual partition 23) is reduced.

[0093] The implementation process of the present invention is described below by taking division into three virtual partitions as an example.

[0094] In one embodiment, the virtual zoning of the gasifier according to temperature is as follows: the gasifier is divided into a first virtual zone, a second virtual zone and a third virtual zone according to temperature; wherein in each virtual zone, inputting materials separated from the total material based on respective proportional coefficients comprises: in the first virtual zone, inputting materials separated from the total material according to proportional coefficient a%; in the second virtual zone, inputting materials separated from the total material according to proportional coefficient b%; in the third virtual zone, inputting materials separated from the total material according to proportional coefficient (100-ab)%; adjusting the proportional coefficient based on the comparison result between the detection value of the gasifier parameter and the virtual value comprises: modifying the values ​​of a and b based on the comparison process between the detection value of the gasifier parameter and the virtual value.

[0095] Figure 3 The flowchart of the optimization method of three virtual partitions according to the implementation mode of the present invention.

[0096] A gasifier model in the form of a lumped parameter model has been pre-established, and the pre-set proportional coefficient a and proportional coefficient b are saved in the gasifier model. During the simulation of the gasifier model, the total material 21 including coal, water, steam, oxygen, nitrogen, carbon dioxide, carbon monoxide, hydrogen and methane is input into the gasifier 20. The gasifier 20 is divided into three virtual partitions, namely the first virtual partition 42 (corresponding to the polygon AHIJKLB), the second virtual partition 43 (corresponding to the polygon HCDEFGLKJI), and the third virtual partition 44 (the irregular shape of the gasifier 20 after deducting the polygon AIIIJKLB and the polygon IICDEFGLKJI). The first virtual partition 42 works at 800°C, the second virtual partition 43 works at 1600°C, and the third virtual partition 44 works at 1800°C. a% of the total material is input into the first virtual partition 42, b% of the total material is input into the second virtual partition 42, and (100-ab)% of the total material is input into the third virtual partition 44. In the gasifier model, the first virtual partition 42, the second virtual partition 43 and the third virtual partition 44 are simulated to perform gasification reaction independently. Moreover, the gasifier model further determines: when the first virtual partition 42, the second virtual partition 43 and the third virtual partition 44 reach gasification reaction equilibrium respectively, after the first virtual partition 42, the second virtual partition 43 and the third virtual partition 44 are mixed, and then a predetermined amount of quenching transformation 24 is performed, the virtual value of the gasifier parameter.

[0097] Furthermore, the detected value of the gasifier parameter after the same total material is input into the real gasifier 20 and the predetermined amount of quenching transformation is also performed (for example, retrieved from the history database). Then, based on the comparison result of the detected value of the gasifier parameter and the virtual value of the gasifier parameter (the parameters used for comparison are of the same type), the value of the proportionality coefficient a in the gasifier model is adjusted.

[0098] For example, when it is found that the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, the proportional coefficient (i.e. (100-ab)%) of the virtual partition (the third virtual partition 44) corresponding to the high temperature is increased in the gasifier model, or the proportional coefficient (a%) of the virtual partition (the first virtual partition 43) corresponding to the low temperature is reduced, so as to achieve rapid adjustment. The proportional coefficients of the first and second virtual partitions 44 between the high temperature and the low temperature can also be adjusted to achieve fine effect.

[0099] For another example, when the detected value of the syngas component at the outlet is more inclined to a high temperature condition than the virtual value of the syngas component at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature (the second virtual partition 43) is increased or the proportional coefficient of the virtual partition corresponding to the low temperature (the first virtual partition 43) is decreased. The proportional coefficient of the second virtual partition 44 between the high temperature and the low temperature can also be adjusted to achieve a fine adjustment effect.

[0100] The above description uses two or three virtual partitions as an example to illustrate the implementation of the present invention. Those skilled in the art can appreciate that more virtual partitions can be provided, and the implementation of the present invention is not limited thereto.

[0101] Considering that the change of outlet composition has a relatively large inertial lag, and is also an important reference parameter used by operators, the cooling water temperature, burner cooling water temperature difference, thermocouple temperature measurement, etc. have a good relative timeliness in the reaction to the gasification state, and this needs to be reflected in the model. It can be assumed that inertia X = Ae^(-kt), and after discretization it is ΔX = Ae^(-kΔt), where t is the time variable and k is the inertia time constant. is the inertia before discretization, and ΔX is the inertia after discretization.

[0102] In the above process, the gasifier model may have multiple differential equations that express the dynamics for each virtual partition. After discretization, there is still a mathematical description of the mechanism of the time step, which is nonlinear. A large amount of historical measurement data is used for verification. By adjusting certain parameters, it is found that these mathematical descriptions of the mechanism are consistent with the actual historical data, and the nonlinearity is verified to be correct. Then, the order is reduced and piecewise linearized, and time constants can appear at this time, so it is particularly suitable for real-time control and RTO calculation speed.

[0103] In one embodiment, the method further includes: enabling the gasifier model to determine a first time from the material input moment to the outlet stabilization moment; detecting a second time from the material input moment to the outlet stabilization moment; and adjusting the inertia time constant of the gasifier model based on the comparison result between the detected value of the gasifier parameter and the virtual value. Therefore, the time constant can be identified through the time series training of the dynamic working condition data and used as inertia. For example, Figure 2 and Figure 3 The first-order inertia time constant of the syngas scrubbing saturation process is 26.

[0104] The above method is used to calculate the massive working conditions of historical data, and to calibrate the data and correct the model, which can be divided into stable working condition data and dynamic data. For example, the parameters such as coal quantity and synthesis gas quantity are corrected by the quality and energy balance of the stable working condition data. At the same time, various data of massive working conditions are obtained: measurement quantity, offline and online analysis quantity, such as oxygen quantity, coal quality industry and element analysis, slag and filter cake quantity, synthesis gas composition, total amount, gasification pressure, temperature, burner cooling water temperature difference, heat absorption of each part of the water-cooled wall, wall temperature measurement thermocouple data, various KPI data calculated, temperature, material distribution percentage and quenching change, etc. In addition, the embodiment of the present invention can also piecewise linearize the time and parameter variables together to generate multidimensional data relationships for APC and RTO.

[0105] Figure 4 It is a structural diagram of an optimization device for a gasifier model according to an embodiment of the present invention.

[0106] like Figure 4 As shown, the optimization device 400 of the gasifier model includes:

[0107] A partitioning module 401 is used to virtually partition the gasifier according to temperature;

[0108] An input module 402, for enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition, so that each virtual partition independently performs a gasification reaction;

[0109] A virtual value determination module 403, for enabling the gasifier model to determine virtual values ​​of gasifier parameters after mixing and quenching the transformed virtual partitions after the virtual partitions reach gasification reaction equilibrium;

[0110] A detection value determination module 404, used to determine the detection value of the gasifier parameter when the total material is input;

[0111] The adjustment module 405 is used to adjust the proportional coefficient based on the comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

[0112] In one embodiment, a partitioning module 401 is used to divide the gasifier into a first virtual partition and a second virtual partition according to temperature; wherein in each virtual partition, materials separated from the total material based on respective proportional coefficients are input, including: in the first virtual partition, materials separated from the total material according to proportional coefficient a% are input; in the second virtual partition, materials separated from the total material according to proportional coefficient (100-a)% are input; an adjustment module 405 is used to adjust the value of a based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

[0113] In one embodiment, a partitioning module 401 is used to divide the gasifier into a first virtual partition, a second virtual partition and a third virtual partition according to temperature; wherein in each virtual partition, inputting materials separated from the total material based on respective proportional coefficients includes: in the first virtual partition, inputting materials separated from the total material according to proportional coefficient a%; in the second virtual partition, inputting materials separated from the total material according to proportional coefficient b%; in the third virtual partition, inputting materials separated from the total material according to proportional coefficient (100-ab)%; an adjustment module 405 is used to adjust the values ​​of a and b based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

[0114] In one embodiment, the adjustment module 405 is used to perform at least one of the following: when the detected value of the synthesis gas temperature at the exit is greater than the virtual value of the synthesis gas temperature at the exit, the proportional coefficient of the virtual partition corresponding to the high temperature is increased or the proportional coefficient of the virtual partition corresponding to the low temperature is decreased; when the detected value of the synthesis gas temperature at the exit is less than the virtual value of the synthesis gas temperature at the exit, the proportional coefficient of the virtual partition corresponding to the high temperature is decreased or the proportional coefficient of the virtual partition corresponding to the low temperature is increased; when the detected value of the synthesis gas component at the exit is more inclined to the high temperature condition than the virtual value of the synthesis gas component at the exit, the proportional coefficient of the virtual partition corresponding to the high temperature is increased or the proportional coefficient of the virtual partition corresponding to the low temperature; when the detected value of the synthesis gas component at the exit is more inclined to the low temperature condition than the virtual value of the synthesis gas component at the exit, the proportional coefficient of the virtual partition corresponding to the high temperature is decreased or the proportional coefficient of the virtual partition corresponding to the low temperature, and so on.

[0115] In one embodiment, the adjustment module 405 is also used to enable the gasifier model to determine a first time from the total material input moment to the outlet stabilization moment; detect a second time from the total material input moment to the outlet stabilization moment; and adjust the inertia time constant of the gasifier model based on the difference between the first time and the second time.

[0116] Based on the above description, the embodiment of the present invention further proposes an optimization device for a gasifier model with a memory-processor architecture.

[0117] Figure 5 It is an exemplary structural block diagram of a gasifier model optimization device with a memory-processor architecture according to an embodiment of the present invention.

[0118] like Figure 5As shown, the optimization device 500 includes a processor 501, a memory 502, and a computer program stored in the memory 502 and executable on the processor 501. When the computer program is executed by the processor 601, the optimization method of the gasifier model described in any of the above items is implemented. Among them, the memory 602 can be specifically implemented as a variety of storage media such as an electrically erasable programmable read-only memory (EEPROM), a flash memory (Flash memory), and a programmable program read-only memory (PROM). The processor 601 can be implemented as including one or more central processing units or one or more field programmable gate arrays, wherein the field programmable gate array integrates one or more central processing unit cores. Specifically, the central processing unit or the central processing unit core can be implemented as a CPU, an MCU, a DSP, and the like.

[0119] It should be noted that not all steps and modules in the above-mentioned processes and structure diagrams are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The division of each module is only for the convenience of describing the functional division adopted. In actual implementation, a module can be implemented by multiple modules, and the functions of multiple modules can also be implemented by the same module. These modules can be located in the same device or in different devices. The hardware modules in each embodiment can be implemented mechanically or electronically. For example, a hardware module can include a specially designed permanent circuit or logic device (such as a dedicated processor, such as FPGA or ASIC) for completing a specific operation. The hardware module can also include a programmable logic device or circuit (such as a general-purpose processor or other programmable processor) temporarily configured by software for performing a specific operation. As for the specific mechanical method, or the use of a dedicated permanent circuit, or the use of a temporarily configured circuit (such as configured by software) to implement the hardware module, it can be determined based on cost and time considerations.

[0120] The present invention also provides a machine-readable storage medium, storing instructions for making a machine perform a method as described in the present application. Specifically, a system or device equipped with a storage medium can be provided, on which a software program code for realizing the function of any of the embodiments in the above-mentioned embodiments is stored, and the computer (or CPU or MPU) of the system or device reads out and executes the program code stored in the storage medium. In addition, the operating system etc. operated on the computer can also be completed part or all of the actual operation by instructions based on the program code. The program code read out from the storage medium can also be written to the memory provided in the expansion board inserted into the computer or to the memory provided in the expansion unit connected to the computer, and then the CPU etc. installed on the expansion board or the expansion unit are made to perform part and all of the actual operation based on the instructions of the program code, so as to realize the function of any of the embodiments in the above-mentioned embodiments. The storage medium implementation for providing the program code includes a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card and a ROM. Alternatively, the program code can be downloaded from a server computer or a cloud by a communication network.

[0121] In this article, "schematic" means "serving as an example, instance or explanation", and any diagram or implementation method described as "schematic" in this article should not be interpreted as a more preferred or more advantageous technical solution. In order to make the drawings concise, only the parts related to the present invention are schematically shown in each figure, and do not represent the actual structure of the product. In addition, in order to make the drawings concise and easy to understand, in some figures, only one of the parts with the same structure or function is schematically drawn, or only one of them is marked. In this article, "one" does not mean that the number of the relevant parts of the present invention is limited to "only one", and "one" does not mean that the number of the relevant parts of the present invention is "more than one". In this article, "upper", "lower", "front", "back", "left", "right", "inside", "outside", etc. are only used to indicate the relative position relationship between the relevant parts, rather than to limit the absolute position of these relevant parts.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. 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 method (100) for optimizing a gasifier model, characterized in that: include: Virtually partitioning the gasifier according to temperature (101); enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition so as to independently perform a gasification reaction by each virtual partition (102); enabling the gasifier model to determine virtual values ​​of gasifier parameters after mixing and quenching the transformed virtual partitions after the virtual partitions reach gasification reaction equilibrium (103); Determining a detection value of the gasifier parameter when the total material is input (104); Adjusting the proportionality coefficient based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter (105); Wherein, the determining the detection value of the gasifier parameter when the total material is input (104) includes: obtaining the current detection value of the gasifier parameter when the total material is input, or querying a historical database to obtain the historical detection value of the gasifier parameter when the total material is input.

2. The method (100) for optimizing a gasifier model according to claim 1, characterized in that: The virtual partitioning of the gasifier according to temperature (101) comprises: dividing the gasifier into a first virtual partition and a second virtual partition according to temperature; Inputting the materials separated from the total materials based on the respective proportion coefficients in each virtual partition includes: in the first virtual partition, inputting the materials separated from the total materials according to the proportion coefficient a%; in the second virtual partition, inputting the materials separated from the total materials according to the proportion coefficient (100-a)%; The adjusting the proportional coefficient (105) based on the comparison result between the detection value of the gasifier parameter and the virtual value includes: adjusting the value of a based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

3. The method (100) for optimizing a gasifier model according to claim 1, characterized in that: The virtual partitioning of the gasifier according to temperature (101) comprises: dividing the gasifier into a first virtual partition, a second virtual partition and a third virtual partition according to temperature; Inputting the materials separated from the total materials based on the respective proportion coefficients in each virtual partition includes: in the first virtual partition, inputting the materials separated from the total materials according to the proportion coefficient a%; in the second virtual partition, inputting the materials separated from the total materials according to the proportion coefficient b%; in the third virtual partition, inputting the materials separated from the total materials according to the proportion coefficient (100-ab)%; The adjusting the proportional coefficient (105) based on the comparison result between the detection value of the gasifier parameter and the virtual value includes: adjusting the values ​​of a and b based on the comparison result between the detection value of the gasifier parameter and the virtual value of the gasifier parameter.

4. The method (100) for optimizing a gasifier model according to claim 1, characterized in that: The adjusting of the proportionality coefficient (105) based on the comparison result between the detected value of the gasifier parameter and the virtual value comprises at least one of the following: When the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, increasing the proportional coefficient of the virtual partition corresponding to the high temperature or decreasing the proportional coefficient of the virtual partition corresponding to the low temperature; When the detected value of the syngas temperature at the outlet is less than the virtual value of the syngas temperature at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is reduced or the proportional coefficient of the virtual partition corresponding to the low temperature is increased.

5. The method (100) for optimizing a gasifier model according to claim 1, characterized in that: The method (100) further comprises: enabling the gasifier model to determine the first time from the total material input moment to the outlet stabilization moment; Detecting a second time from the total material input moment to the outlet stabilization moment; Based on the difference between the first time and the second time, the inertia time constant of the gasifier model is adjusted.

6. The method (100) for optimizing a gasifier model according to claim 1, characterized in that: The gasifier parameters are: parameters at the outlet or the periphery of the outlet of the gasifier; wherein the gasifier parameters include at least one of the following: synthesis gas temperature; synthesis gas composition; burner cooling water temperature difference; burner support absorption heat; water-cooled wall absorption heat; oxygen-coal-steam ratio; slag mouth absorption heat; slag particle size distribution; slag and filter cake ratio; thermal coupling temperature distribution.

7. A gasifier model optimization device (400), characterized in that: include: A partitioning module (401), used to virtually partition the gasifier according to temperature; An input module (402) for enabling the gasifier model to input materials divided from the total materials based on respective proportional coefficients in each virtual partition, so that each virtual partition independently performs a gasification reaction; A virtual value determination module (403) is used to enable the gasifier model to determine the virtual value of the gasifier parameter after mixing the virtual partitions and quenching the transformed virtual partitions after the gasification reaction equilibrium is reached in the virtual partitions; A detection value determination module (404), used to determine the detection value of the gasifier parameter when the total material is input; An adjustment module (405) is used to adjust the proportional coefficient based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter; The detection value determination module (404) determines the detection value of the gasifier parameter when the total material is input, including: obtaining the current detection value of the gasifier parameter when the total material is input, or querying a historical database to obtain the historical detection value of the gasifier parameter when the total material is input.

8. The gasifier model optimization device (400) according to claim 7, characterized in that: A partitioning module (401), used for dividing the gasifier into a first virtual partition and a second virtual partition according to temperature; Inputting the materials separated from the total materials based on the respective proportion coefficients in each virtual partition includes: in the first virtual partition, inputting the materials separated from the total materials according to the proportion coefficient a%; in the second virtual partition, inputting the materials separated from the total materials according to the proportion coefficient (100-a)%; An adjustment module (405) is used to adjust the value of a based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

9. The gasifier model optimization device (400) according to claim 7, characterized in that: A partitioning module (401), used to divide the gasifier into a first virtual partition, a second virtual partition and a third virtual partition according to temperature; The inputting of materials separated from the total materials based on respective proportion coefficients in each virtual partition comprises: in the first virtual partition, inputting materials separated from the total materials according to proportion coefficient a%; In the second virtual partition, input the material separated from the total material according to the ratio coefficient b%; in the third virtual partition, input the material separated from the total material according to the ratio coefficient (100-ab)%; An adjustment module (405) is used to adjust the values ​​of a and b based on a comparison result between the detected value of the gasifier parameter and the virtual value of the gasifier parameter.

10. The gasifier model optimization device (400) according to claim 7, characterized in that: The adjustment module (405) is configured to perform at least one of the following: When the detected value of the syngas temperature at the outlet is greater than the virtual value of the syngas temperature at the outlet, increasing the proportional coefficient of the virtual partition corresponding to the high temperature or decreasing the proportional coefficient of the virtual partition corresponding to the low temperature; When the detected value of the syngas temperature at the outlet is less than the virtual value of the syngas temperature at the outlet, the proportional coefficient of the virtual partition corresponding to the high temperature is reduced or the proportional coefficient of the virtual partition corresponding to the low temperature is increased.

11. The gasifier model optimization device (400) according to claim 7, characterized in that: The adjustment module (405) is also used to enable the gasifier model to determine a first time from the total material input moment to the outlet stabilization moment; detect a second time from the total material input moment to the outlet stabilization moment; and adjust the inertia time constant of the gasifier model based on the difference between the first time and the second time.

12. An optimization device (500) for a gasifier model, characterized in that: The invention comprises a processor (501), a memory (502), and a computer program stored in the memory (502) and executable on the processor (501); when the computer program is executed by the processor (501), the method (100) for optimizing a gasifier model according to any one of claims 1 to 6 is implemented.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method (100) for optimizing a gasifier model according to any one of claims 1 to 6 is implemented.

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