Gasifier operation load distribution control method, electronic device, and storage medium

Abstract

The application discloses a gasifier operation load distribution control method, electronic equipment and storage medium. The method comprises the following steps: obtaining historical load data of historical operation of a gasifier; obtaining a load function of effective gas production rate and load operation value of the gasifier through data regression fitting according to the historical load data; obtaining a prediction function of effective gas production according to the load function; establishing an optimization function according to the prediction function to obtain a load target value of the gasifier; and adjusting an oxygen-coal ratio of the gasifier according to the load target value. The application establishes a function relationship between the effective gas production rate and the load through regression fitting of historical operation data and data modeling, and establishes an optimization model on the basis, so that the optimal load target value is automatically found under the target effective gas demand with the minimum raw material consumption as the optimization target, thereby reducing the raw material cost and the labor cost.

Description

Technical Field

[0001] This invention relates to the field of coal gasification technology, and in particular to a method for controlling the load distribution of a gasifier, an electronic device, and a storage medium. Background Technology

[0002] Coal gasification is a clean coal utilization technology that reacts with a gasifying agent under high temperature and pressure to produce effective gases such as carbon monoxide and hydrogen, which are then used as feedstock for downstream methanol and synthetic ammonia production. The gasifier is the core equipment in the coal gasification process. Its effective gas yield (effective gas flow rate / oxygen flow rate) is related to factors such as coal quality, oxygen-to-coal ratio, and furnace temperature. Influenced by gasifier design, equipment installation, and heat and mass transfer factors, the effective gas yield also varies with the load, and different gasifiers exhibit different effective gas yields. Therefore, under a given effective gas demand, there is an optimal load allocation among multiple gasifiers, allowing the use of the least amount of feedstock to meet the effective gas requirement.

[0003] Currently, when multiple gasifiers are operating at full load, operators adjust the gasifier load based on experience and the needs of downstream users. However, there is a lack of optimal matching and adjustment of the load for each gasifier, leaving room for optimization of the effective gas production rate, and the amount of manual operation is relatively large. Summary of the Invention

[0004] Therefore, it is necessary to provide a gasifier operation load distribution control method, electronic equipment, and storage medium to address the technical problems of the existing technology.

[0005] This invention provides a method for controlling the load distribution of a gasifier, comprising:

[0006] Acquire historical load data of one or more gasifiers;

[0007] Based on the historical load data, the effective gas production rate of each gasifier and the load measurement value are obtained by data regression fitting;

[0008] Based on the load function, an optimization function is established to obtain the target load value for each gasifier;

[0009] Adjust the oxygen-to-coal ratio of each gasifier according to the target load value.

[0010] Furthermore, the step of obtaining the effective gas production rate of each gasifier and the load function of the measured load value through data regression fitting based on the historical load data specifically includes:

[0011] The load function for each gasifier is constructed as follows:

[0012] H = f(x) = a*x 2 +b*x+c

[0013] Wherein, H is the effective gas production rate of the gasifier, x is the load measurement value of the gasifier, a is the first constant, b is the second constant, and c is the third constant;

[0014] The historical load data is fitted based on the load function to obtain the load function for each gasifier. The historical load data includes the historical value of the effective gas production rate and the corresponding historical value of the load measurement.

[0015] Furthermore, the step of establishing an optimization function based on the load function to obtain the target load value for each gasifier specifically includes:

[0016] Based on the load function, determine the total amount function for calculating the total effective gas production of all gasifiers;

[0017] Determine the standard range of the load measurements for each of the gasifiers;

[0018] Determine the optimization function;

[0019] The target load value for each gasifier is obtained by optimizing the optimization function based on the total load function and the standard range of the load measurement values ​​for each gasifier.

[0020] Furthermore, determining the total amount function for calculating the total effective gas production of all gasifiers based on the load function specifically includes:

[0021] Based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load, calculate the total effective gas production function of all gasifiers.

[0022] Furthermore, the calculation of the total effective gas production function of all gasifiers based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load specifically includes:

[0023] The total effective gas production of all gasifiers is calculated using the following function:

[0024]

[0025] Where G is the total effective gas output of all gasifiers, x i For the load measurement value of the i-th gasifier, O i Let n be the oxygen flow rate at full load for the i-th gasifier, and n be the number of gasifiers.

[0026] Furthermore, determining the optimization function specifically includes:

[0027] The objective function of the optimization function is determined to be the minimum raw material consumption:

[0028]

[0029] Based on the minimum raw material consumption, the optimization function is determined as follows:

[0030]

[0031] Where, x i For the load measurement value of the i-th gasifier, O i Let n be the oxygen flow rate at full load for the i-th gasifier, and n be the number of gasifiers.

[0032] Further, the step of optimizing the optimization function to obtain the target load value for each gasifier based on the total load function and the standard range of the load measurement values ​​for each gasifier specifically includes:

[0033] The constraints are determined to satisfy the total function and the standard range of the load measurements for each gasifier;

[0034] Under the condition that the constraints are met, the objective function is decomposed and solved to obtain the target load value.

[0035] Furthermore, adjusting the oxygen-to-coal ratio of the gasifier according to the target load value specifically includes:

[0036] The target load value for each gasifier is converted into the corresponding coal mill load;

[0037] The oxygen flow rate of each gasifier is adjusted via an oxygen-to-coal ratio control loop based on the pulverizer load of each gasifier.

[0038] This invention provides an electronic device, comprising:

[0039] At least one processor; and,

[0040] A memory communicatively connected to at least one of the processors; wherein,

[0041] The memory stores instructions that can be executed by at least one of the processors, which enable the at least one processor to perform the gasifier operation load distribution control method as described above.

[0042] The present invention provides a storage medium that stores computer instructions, which, when executed by a computer, are used to perform all steps of the gasifier operation load distribution control method as described above.

[0043] This invention analyzes historical operating data from one or more gasifiers to establish a functional relationship between the effective gas production rate and load of each gasifier. Within a standard range that meets the load measurements of each gasifier, an optimization model is established to minimize raw material consumption. This model identifies the optimal target load for each gasifier, and the oxygen-to-coal ratio is adjusted based on the target load. This achieves optimal load allocation for the operating conditions of multiple gasifiers, ensuring that the minimum amount of raw material is used to meet the set total effective gas production. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating the operation load distribution control method for a gasifier according to an embodiment of the present invention.

[0045] Figure 2 This is a flowchart illustrating a gasifier operation load distribution control method according to another embodiment of the present invention.

[0046] Figure 3 This is a schematic diagram of a gasifier system according to an embodiment of the present invention;

[0047] Figure 4 This is a schematic diagram of data transmission according to an embodiment of the present invention;

[0048] Figure 5 This is a schematic diagram of the hardware structure of an electronic device according to the present invention. Detailed Implementation

[0049] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings. Identical components are indicated by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, while the terms "inner" and "outer" refer to directions toward or away from the geometric center of a specific component, respectively.

[0050] like Figure 1 The diagram shown is a flowchart of a gasifier operation load distribution control method according to an embodiment of the present invention, including:

[0051] Step S101: Obtain historical load data of one or more gasifiers.

[0052] Step S102: Based on the historical load data, obtain the load function of the gasifier's effective gas production rate and load measurement value through data regression fitting;

[0053] Step S103: Based on the load function, establish an optimization function to obtain the target load value of the gasifier;

[0054] Step S104: Adjust the oxygen-to-coal ratio of each gasifier according to the load target value.

[0055] Specifically, this invention is mainly applied to a multi-gasifier operating system. Step S101 involves screening and analyzing historical load data from one or more gasifiers. Step S102 then uses the historical load data and methods such as linear regression or support vector machine regression to fit a load function between the effective gas production rate and the measured load value of the gasifier. The effective gas production rate is the effective gas output divided by the oxygen flow rate. Step S103 uses the load function and the standard load range for each gasifier to optimize for minimum raw material consumption using an optimization function. Under a certain total effective gas output, the optimal load target value for each gasifier is obtained. Step S104 then adjusts the oxygen-to-coal ratio for each gasifier based on the load target value. According to the conversion relationship between the load target value and the measured load value of the coal mill, the oxygen flow rate is adjusted through an oxygen-to-coal ratio control loop, thereby achieving automatic adjustment of the load target value.

[0056] This invention obtains a load function of effective gas production rate and load for each gasifier by regression fitting of historical operating data of each gasifier. Based on the load function and the standard range of load for each gasifier, the minimum raw material consumption is optimized through an optimization function. Under a certain total effective gas production, the optimal load target value for each gasifier is obtained through optimization. Based on the load target value, the oxygen-coal ratio of each gasifier is adjusted, thereby realizing the automatic adjustment of the load target value and reducing raw material and labor costs.

[0057] like Figure 2 The diagram shown is a flowchart of a gasifier operation load distribution control method according to another embodiment of the present invention, including:

[0058] Step S201: Obtain historical load data of one or more gasifiers.

[0059] Step S202: Based on the historical load data, obtain the load function of effective gas production rate and load measurement value for each gasifier through data regression fitting.

[0060] In one embodiment, the step of obtaining the effective gas yield of each gasifier and the load function of the measured load value through data regression fitting based on the historical load data specifically includes:

[0061] The load function for each gasifier is constructed as follows:

[0062] H = f(x) = a*x 2 +b*x+c

[0063] Wherein, H is the effective gas production rate of the gasifier, x is the load measurement value of the gasifier, a is the first constant, b is the second constant, and c is the third constant;

[0064] The historical load data is fitted based on the load function to obtain the load function for each gasifier. The historical load data includes the historical value of the effective gas production rate and the corresponding historical value of the load measurement.

[0065] Specifically, such as Figure 3 As shown, when multiple gasifiers are running simultaneously, based on the load variation data of each gasifier during its historical operation, a data regression method is used to fit the data to obtain the load function relationship f1(x1), f2(x2), ... f1(x1) between the effective gas production rate H of n (n≥2) gasifiers and the load measurement value X. n (x n The process involves selecting the historical values ​​of the effective gas production rate and the corresponding historical values ​​of the load measurement from the historical operating data of each gasifier. The historical value of the effective gas production rate of each gasifier is substituted into the load function as H, and the historical value of the load measurement corresponding to the historical value of the effective gas production rate is substituted into the load function as x. The data is then fitted using a data regression method to obtain the first constant a, the second constant b, and the third constant c.

[0066] This embodiment obtains the load function relationship between effective gas production rate H and load x by regression fitting of historical load data of each gasifier.

[0067] Step S203: Based on the load function, determine the total amount function for calculating the total effective gas output of all gasifiers.

[0068] In one embodiment, determining the total effective gas production function of all gasifiers based on the load function specifically includes: calculating the total effective gas production function of all gasifiers based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load.

[0069] In one embodiment, the step of calculating the total effective gas production function of all gasifiers based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load specifically includes:

[0070] The total output function for calculating the total effective gas production of all gasifiers is as follows:

[0071]

[0072] Where G is the total effective gas output of all gasifiers, x i For the load measurement value of the i-th gasifier, O iLet G be the oxygen flow rate at full load of the i-th gasifier, and n be the number of gasifiers. Specifically, G is the total effective gas production set, and the total effective gas production and the total load operation value are obtained by using the load function of each gasifier and the oxygen flow rate at full load of each gasifier.

[0073] This embodiment uses a function of the total effective gas production and the total load operating value to provide the constraints that the optimization model must satisfy first.

[0074] Step S204: Determine the optimization function.

[0075] In one embodiment, determining the optimization function specifically includes:

[0076] The objective function of the optimization function is determined to be the minimum raw material consumption:

[0077]

[0078] Based on the minimum raw material consumption, the optimization function is determined as follows:

[0079]

[0080] Where, x i For the load measurement value of the i-th gasifier, O i Let n be the oxygen flow rate at full load for the i-th gasifier, and n be the number of gasifiers.

[0081] Specifically, such as Figure 3 and Figure 4 As shown, under the constraints described in step S203, and with a set total effective gas production of 401, an optimization model F(x1, x2, ..., x...) is established. n For the minimum raw material consumption (x1*O1+x2*O2+……+x) n *O n The optimization is performed, and the optimization function F(x1, x2, ..., x3) is run in the host computer 403. n The optimal target load values ​​for each gasifier are given as 402: x1, x2...x n The target load value 402 is then transmitted back to the distributed control system 404 (DCS) for corresponding oxygen-coal ratio adjustment.

[0082] Preferably, the optimization model uses a sequential least squares programming algorithm to find the minimum raw material consumption; the optimal operating load of each gasifier is transmitted back to the DCS 404 through object linking and embedding for process control (OPC).

[0083] In this embodiment, the optimal target load value 402 for each gasifier is obtained by running an optimization function in the host computer 403.

[0084] Step S205: Based on the total amount function and the standard range of the load measurement value of each gasifier, optimize the optimization function to obtain the target load value of each gasifier.

[0085] In one embodiment, the step of optimizing the optimization function to obtain the target load value for each gasifier based on the total load function and the standard range of the load measurement values ​​for each gasifier specifically includes:

[0086] The constraints are determined to satisfy the total function and the standard range of the load measurements for each gasifier;

[0087] Under the condition that the constraints are met, the objective function is decomposed and solved to obtain the target load value.

[0088] Specifically, the standard range of the load measurement value for each gasifier is greater than or equal to 60% and less than or equal to 100%. At the same time, under the premise constraints of the total function and the load measurement value being within the standard range, the objective function for minimizing raw material consumption is optimized.

[0089] Ideally, under the condition of satisfying the constraints, the objective function can be decomposed and solved using the sequential least squares programming algorithm to obtain the optimal load target value for each gasifier.

[0090] This embodiment obtains the optimal load target value for each gasifier by optimizing the objective function.

[0091] In one embodiment, adjusting the oxygen-to-coal ratio of the gasifier according to the target load value specifically includes:

[0092] The target load value for each gasifier is converted into the corresponding coal mill load;

[0093] The oxygen flow rate of each gasifier is adjusted via an oxygen-to-coal ratio control loop based on the pulverizer load of each gasifier.

[0094] Specifically, such as Figure 3 and Figure 4 As shown, the distributed control system 404 reads the loads x1, x2, ... xn corresponding to the current gasifiers 31, 32, ..., 3n respectively. n The target load value of 402 for each gasifier is converted into the corresponding coal mill loads f1, f2...f n The corresponding loads of each coal mill are calculated according to rates k1, k2...k n During operation, the oxygen control loop adjusts the oxygen flow rate O1, oxygen flow rate O2... oxygen flow rate O in the corresponding gasifier according to the oxygen-coal ratio control loop. n This enables automatic adjustment of the load target value of 402.

[0095] The specific implementation process can be applied to a load adjustment system of the preferred embodiment of the present invention. The system includes: n gasifiers, n coal mills, each gasifier including at least an oxygen control loop and an oxygen-coal ratio control loop, the coal mills are equipped with a weighing system to read the load of the coal mills; the oxygen control loop is equipped with a flow meter to read the oxygen flow rate; the oxygen-coal ratio in the oxygen-coal ratio control loop is calculated based on the coal mill load and the oxygen flow rate, and the oxygen control loop adjusts the oxygen flow rate according to the change of coal mill load.

[0096] This embodiment adjusts the oxygen-to-coal ratio of the corresponding gasifier by adjusting the load target value, thereby achieving the goal of meeting the downstream demand for effective gas production with the least amount of raw material coal slurry and oxygen flow, i.e., meeting the total effective gas production.

[0097] This embodiment utilizes the functional relationship between the effective gas production rate of each gasifier and the measured load value. Under the constraints of satisfying the total function and the measured load value being within the standard range, the objective function is decomposed and solved to obtain the optimal load target value for each gasifier. Then, based on the load target value of each gasifier, the oxygen-to-coal ratio of the corresponding gasifier is adjusted. This reduces the consumption of raw materials such as coal slurry and oxygen in the gasifier, improves operational economy, and achieves automatic matching and adjustment of the load for each gasifier by adjusting the gasifier load, which can significantly reduce the amount of operation in the load adjustment process and improve the safety of the gasifier operation.

[0098] like Figure 5 The diagram shown is a hardware structure schematic of an electronic device according to the present invention, comprising:

[0099] At least one processor 501; and,

[0100] A memory 502 is communicatively connected to at least one of the processors 501; wherein,

[0101] The memory 502 stores instructions that can be executed by at least one of the processors to enable the at least one of the processors to perform the gasifier operation load distribution control method as described above.

[0102] Figure 5 Take a processor 501 as an example.

[0103] The electronic device may also include an input device 503 and a display device 504.

[0104] The processor 501, memory 502, input device 503 and display device 504 can be connected by a bus or other means. The figure shows an example of connection by bus.

[0105] The memory 502, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules corresponding to the gasifier operation load distribution control method in the embodiments of this application, for example, Figure 1 and Figure 2 The method flow is shown. The processor 501 executes various functional applications and data processing by running non-volatile software programs, instructions, and modules stored in the memory 502, thereby realizing the gasifier operation load distribution control method in the above embodiment.

[0106] Memory 502 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the gasifier operation load distribution control method, etc. Furthermore, memory 502 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 502 may optionally include memory remotely located relative to processor 501, and this remote memory may be connected via a network to the apparatus performing the gasifier operation load distribution control method. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0107] The input device 503 can receive user clicks and generate signal inputs related to user settings and function control of the gasifier operation load distribution control method. The display device 504 may include a display screen or other display equipment.

[0108] When one or more modules are stored in the memory 502, and are run by one or more processors 501, the gasifier operation load distribution control method in any of the above method embodiments is executed.

[0109] This invention obtains the functional relationship between the effective gas production rate and the load measurement value of each gasifier by regression fitting of the historical operating data of each gasifier. Under the constraints of satisfying the total function and the load measurement value within the standard range, the minimum raw material consumption is optimized by the optimization function. Under the set total effective gas production, the optimal load target value of each gasifier is obtained. According to the load target value of each gasifier, the oxygen-coal ratio of the corresponding gasifier is adjusted, thereby realizing the automatic adjustment of the load target value and reducing raw material cost and labor cost.

[0110] One embodiment of the present invention provides a storage medium that stores computer instructions, which, when executed by a computer, are used to perform all steps of the gasifier operation load distribution control method described above.

[0111] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for controlling the load distribution during gasification furnace operation, characterized in that, include: Acquire historical load data of one or more gasifiers; Based on the historical load data, the effective gas production rate of each gasifier and the load measurement value are obtained by data regression fitting; Based on the load function, an optimization function is established to obtain the target load value for each gasifier; Adjust the oxygen-to-coal ratio of each gasifier according to the target load value; The process of obtaining the effective gas production rate of each gasifier and the load function of the measured load value through data regression fitting based on the historical load data specifically includes: The load function for each gasifier is constructed as follows: Wherein, H is the effective gas production rate of the gasifier, x is the load measurement value of the gasifier, a is the first constant, b is the second constant, and c is the third constant; The historical load data is fitted based on the load function to obtain the load function for each gasifier. The historical load data includes historical values ​​of effective gas production rate and corresponding historical values ​​of the load measurement. The step of establishing an optimization function based on the load function to obtain the target load value for each gasifier specifically includes: Based on the load function, determine the total amount function for calculating the total effective gas production of all gasifiers; Determine the standard range of the load measurements for each of the gasifiers; Determine the optimization function; Based on the total load function and the standard range of the load measurement values ​​for each gasifier, the optimization function is optimized to obtain the target load value for each gasifier; Determining the optimization function specifically includes: The objective function of the optimization function is determined to be the minimum raw material consumption: ； Based on the minimum raw material consumption, the optimization function is determined as follows: ； Where, x i For the load measurement value of the i-th gasifier, O i Let be the oxygen flow rate of the i-th gasifier at full load, and n be the number of gasifiers.

2. The gasifier operation load distribution control method according to claim 1, characterized in that, The step of determining the total amount function for calculating the total effective gas output of all gasifiers based on the load function specifically includes: Based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load, calculate the total effective gas production function of all gasifiers.

3. The gasifier operation load distribution control method according to claim 2, characterized in that, The calculation of the total effective gas production function of all gasifiers, based on the load function of each gasifier and the oxygen flow rate of each gasifier at full load, specifically includes: The total effective gas production of all gasifiers is calculated using the following function: Where G is the total effective gas output of all gasifiers, x i For the load measurement value of the i-th gasifier, O i Let n be the oxygen flow rate at full load for the i-th gasifier, and n be the number of gasifiers.

4. The gasifier operation load distribution control method according to claim 1, characterized in that, The step of optimizing the optimization function to obtain the target load value for each gasifier based on the total load function and the standard range of the load measurement values ​​for each gasifier specifically includes: The constraints are determined to satisfy the total function and the standard range of the load measurements for each gasifier; Under the condition that the constraints are met, the objective function is decomposed and solved to obtain the target load value.

5. The gasifier operation load distribution control method according to claim 1, characterized in that, The step of adjusting the oxygen-to-coal ratio of the gasifier according to the target load value specifically includes: The target load value for each gasifier is converted into the corresponding coal mill load; The oxygen flow rate of each gasifier is adjusted via an oxygen-to-coal ratio control loop based on the pulverizer load of each gasifier.

6. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to at least one of the processors; wherein, The memory stores instructions that can be executed by at least one of the processors to enable at least one of the processors to perform the gasifier operation load distribution control method as described in any one of claims 1 to 5.

7. A storage medium, characterized in that, The storage medium stores computer instructions, which, when executed by the computer, are used to perform all the steps of the gasifier operation load distribution control method as described in any one of claims 1 to 5.

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