Operation regulation and control system and method for powdered coal gasification furnace

Abstract

The invention provides an operation regulation and control system and method for a pulverized coal gasification furnace. The system comprises a data management module, an operation management module, an optimization analysis module and a data display module, wherein the data management module is used for collecting initial test data, sending the initial test data to the operation management module and storing the initial test data at the same time; the operation management module is used for carrying out balance check on the initial test data, then identifying abnormal data existing in the check data, and judging the operation state of the gasification furnace; the optimization analysis module is used for carrying out data mining and parameter optimization on the gasification furnace according to a judgment result of the operation management module; and the data display module is used for providing a man-machine interaction interface. The embodiment of the invention can guide the operation of the gasification furnace, improve the operation performance of the gasification furnace and realize more efficient utilization of the pulverized coal.

Description

Technical Field

[0001] The present application relates to the technical field of coal combustion optimization, and in particular to an operation control system and method for a pulverized coal gasifier. Background Art

[0002] Clean and efficient utilization of coal is in line with the current trend of energy conservation and environmental protection, and is one of the key research directions. Pulverized coal gasification is a process that converts solid fossil fuel coal into gaseous combustibles under high temperature and pressure. Its working process is to use gas or water as a fluidizing agent to bring pulverized coal into the reaction chamber of the gasifier. The pulverized coal contacts oxygen to produce a series of complex physical and chemical reactions, generating crude synthesis gas and unburned ash mainly composed of hydrogen, carbon monoxide, carbon dioxide and water vapor. The crude synthesis gas is cooled and purified and then used as a product. After leaving the reaction chamber, the ash is cooled, collected, and regularly discharged and cleaned. Pulverized coal gasification technology has been widely promoted and applied for its advantages of fast reaction speed, high energy utilization rate and low environmental pollution. However, due to the complexity of the gasifier system, large fluctuations in coal quality and different reactivity, it can only rely on manual experience to analyze the operating status of the gasifier and adjust the optimal operating parameters. Manually adjusting the parameters is not accurate enough, which easily leads to excessive consumption of pulverized coal products. Summary of the invention

[0003] In view of at least one of the above technical problems existing in the conventional technology, this application is proposed. According to one aspect of this application, an operation control system of a pulverized coal gasifier is provided, the system comprising a data management module, an operation management module, an optimization analysis module and a data display module:

[0004] The data management module is used to collect initial test data, send the initial test data to the operation management module, and store the initial test data;

[0005] The operation management module is used to perform a balance check on the initial test data, then identify abnormal data in the check data, and determine the operation status of the gasifier;

[0006] The optimization analysis module is used to perform data mining and parameter optimization on the gasifier according to the judgment result of the operation management module;

[0007] The data display module is used to provide a human-computer interaction interface.

[0008] In some embodiments, the initial test data includes at least test data collected from a distributed control system, field test data, and laboratory test data.

[0009] In some embodiments, the initial test data includes at least one of the following: coal quantity, oxygen quantity, water vapor input quantity, coal gas output, steam production, temperature of each measuring point of the coil, online synthesis gas composition test value, coal quality composition data, ash composition data, coal quality reaction activity, pulverized coal particle size, offline analysis results of synthesis gas components, total mass of ash and slag, ratio of coarse and fine slag, and residual carbon value.

[0010] In some embodiments, the operation management module is further used to delete erroneous data in the initial test data to form intermediate test data.

[0011] In some embodiments, the operation management module includes:

[0012] A verification module, used to form intermediate test data and determine whether the intermediate test data satisfies the law of conservation of mass;

[0013] An adjustment module, configured to, if the intermediate test data does not satisfy the law of conservation of mass, fine-tune the intermediate test data to form second intermediate data satisfying the law of conservation of mass;

[0014] A calculation module, configured to perform a thermodynamic equilibrium calculation on the second intermediate data when the intermediate test data satisfies the law of conservation of mass, to obtain at least the reaction temperature of the gasifier and the equilibrium gas composition of the synthesis gas;

[0015] A comparison module, configured to determine a normal data reference value from a design standard, compare the normal data reference value with the second intermediate data, and determine an abnormal value of the second intermediate data;

[0016] In some embodiments, the design criteria in the comparison module include at least one of the following: coal quantity, oxygen-coal ratio, effective gas production, carbon conversion rate, operating temperature, gasifier wall temperature, coarse and fine slag ratio and residual carbon value.

[0017] In some embodiments, the optimization analysis module includes a data mining module and a parameter optimization module;

[0018] The mining module is used to extract basic operating characteristics of the gasifier using a data mining model;

[0019] The parameter optimization module is used to compare the output parameters of the gasifier with the optimization requirements, adjust the input parameters when the optimization requirements are not met, and output the optimization plan when the optimization requirements are met.

[0020] In some embodiments, the data mining model is constructed based on historical data using a machine learning algorithm.

[0021] In some embodiments, the optimization requirement includes at least one of the following: oxygen-coal ratio requirement, carbon conversion rate requirement, effective gas production requirement, operating temperature requirement and coal blending scheme requirement.

[0022] In some embodiments, the data display module includes a display module and an input module;

[0023] The display module is used to display at least part of the initial test data, abnormality report, evaluation report, typical operation case, and optimization report;

[0024] The input module is used to input and modify the initial test data.

[0025] Another aspect of the present application embodiment provides an operation control method of a pulverized coal gasifier, comprising:

[0026] Collecting initial test data, sending the initial test data to the operation management module, and storing the initial test data;

[0027] Performing a balance check on the initial test data, then identifying abnormal data in the check data, and determining the operating state of the gasifier;

[0028] According to the judgment result of the operation management module, data mining and parameter optimization are performed on the gasifier, and an optimization plan is given according to the optimization requirements.

[0029] The operation and control system of the pulverized coal gasifier in the embodiment of the present application balances and checks the initial test data collected by the data management module, judges the operating status of the gasifier, and performs data mining and parameter optimization on the gasifier based on the judgment result. It can guide the operation of the gasifier, improve the operating performance of the gasifier, and achieve more efficient utilization of pulverized coal. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 A schematic block diagram of an operation control system of a pulverized coal gasifier according to an embodiment of the present application is shown;

[0032] Figure 2 A schematic flow chart showing a data balance verification process according to an embodiment of the present application is shown;

[0033] Figure 3A schematic flow chart showing a parameter optimization process according to an embodiment of the present application;

[0034] Figure 4 A schematic diagram showing the architecture of an operation control system of a pulverized coal gasifier according to an embodiment of the present application is shown;

[0035] Figure 5 A schematic flow chart of an operation control method of a pulverized coal gasifier according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the technical solutions of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] Pulverized coal gasification technology is the main research direction for the efficient and clean utilization of coal. Pulverized coal is transported into a high-temperature and high-pressure gasifier by gas or liquid to undergo an oxygen-deficient reaction, thereby obtaining a synthetic gas that can be used as a raw material for chemicals, materials, etc. In this technology, the gasifier is the main reactor, which determines the utilization rate of pulverized coal and is the focus of optimization control. However, the gasifier has the characteristics of high temperature and high pressure, limited measurement methods, and complex regulation, which limits the more efficient utilization of pulverized coal. Based on the above problems, this application proposes an operation control system and method for a pulverized coal gasifier, which makes full use of big data and basic theoretical calculations to build an operation evaluation and control system for a pulverized coal gasifier, and forms an evaluation and control method, in order to guide the operation of the gasifier, improve the operating performance of the gasifier, and achieve more efficient utilization of pulverized coal.

[0038] Based on at least one of the above-mentioned technical problems, the present application provides an operation and control system for a pulverized coal gasifier, the system comprising a data management module, an operation management module, an optimization analysis module and a data display module: the data management module is used to collect initial test data, send the initial test data to the operation management module, and store the initial test data at the same time; the operation management module is used to perform a balance check on the initial test data, then identify abnormal data in the check data, and judge the operation status of the gasifier; the optimization analysis module is used to perform data mining and parameter optimization on the gasifier according to the judgment result of the operation management module; the data display module is used to provide a human-computer interaction interface. The embodiments of the present application can guide the operation of the gasifier, improve the operation performance of the gasifier, and achieve more efficient use of pulverized coal.

[0039] Figure 1A schematic block diagram of an operation control system of a pulverized coal gasifier according to an embodiment of the present application is shown; Figure 1 As shown, the operation control system 100 of the pulverized coal gasifier according to the embodiment of the present application may include a data management module 101 , an operation management module 102 , an optimization analysis module 103 and a data display module 104 .

[0040] The data management module 101 is used to collect initial test data, send the initial test data to the operation management module, and store the initial test data.

[0041] The data management module of the embodiment of the present application is connected with the operation management module and the data display module to realize data collection, data storage and data transmission. The database used to store data in the present application includes a real-time database and a historical database. Among them, the real-time database is used to store the real-time collected data under the current operation state of the gasifier, and the historical database is used to store the data under the historical operation state of the gasifier. In addition, the data management module is also used to provide basic data for the operation management module and display data for the data display module.

[0042] In one embodiment of the present application, the initial test data at least includes test data collected from a distributed control system, field test data, and laboratory test data.

[0043] This application describes the operating status of the gasifier by collecting distributed control system (DCS) data, field test data, laboratory test data, etc., and stores them to form a real-time database and a historical database. Specifically, the parameters describing the operating status of the gasifier, such as temperature parameters - the temperature of each temperature measuring point of the coil, flow parameters - coal quantity, oxygen quantity, input water vapor quantity, coal gas quantity, steam production quantity, synthesis gas quantity, total ash mass, etc., basic property parameters - coal quality composition data, ash composition data, coal quality reaction activity, pulverized coal particle size, etc.

[0044] In another embodiment of the present application, the initial test data includes at least one of the following: coal quantity, oxygen quantity, water vapor input quantity, coal gas output quantity, steam production quantity, temperature of each measuring point of the coil, online synthesis gas composition test value, coal quality composition data, ash composition data, coal quality reaction activity, pulverized coal particle size, offline analysis results of synthesis gas components, total mass of ash and slag, ratio of coarse and fine slag and residual carbon value.

[0045] The operation management module is used to perform a balance check on the initial test data, then identify abnormal data in the check data, and determine the operation status of the gasifier.

[0046] In one embodiment of the present application, the operation management module is further used to delete erroneous data in the initial test data to form intermediate test data, and adjust the intermediate test data to meet the accuracy requirement to form second intermediate data.

[0047] In the embodiment of the present application, since the working environment of the acquisition equipment is relatively bad and the instrument may be damaged when collecting distributed control system data, field test data or laboratory test data, some of the collected initial test data may contain errors. When screening the initial test data, the erroneous data therein can be deleted. The judgment method for confirming erroneous data can, for example, include judging whether the data exceeds the range of the acquisition instrument. Data that exceeds the range of the acquisition instrument must be erroneous data. At the same time, since the accuracy of the acquisition equipment limits the accuracy of the collected data, an adjustment module can be used to fine-tune it to meet the law of conservation of mass.

[0048] In one example, the operation management module 102 includes:

[0049] A verification module 1021, used to form the intermediate test data and determine whether the intermediate test data satisfies the law of conservation of mass;

[0050] An adjustment module 1022, configured to, if the intermediate test data does not satisfy the law of conservation of mass, fine-tune the intermediate test data to form second intermediate data satisfying the law of conservation of mass;

[0051] A calculation module 1023, configured to perform a thermodynamic equilibrium calculation on the second intermediate data when the intermediate test data satisfies the law of conservation of mass, to obtain at least the reaction temperature of the gasifier and the equilibrium gas composition of the synthesis gas;

[0052] The comparison module 1024 is used to determine the abnormal value of the second intermediate data by determining the normal data reference value from the design standard, comparing the normal data reference value with the second intermediate data, wherein the design standard in the comparison module includes at least one of the following: coal quantity, oxygen-coal ratio, effective gas production, carbon conversion rate, operating temperature, gasifier wall temperature, coarse and fine slag ratio and residual carbon value.

[0053] like Figure 2 As shown in FIG. 2 , it is a schematic flow chart of a data balance check process 200 performed by the operation management module. Figure 2 As shown, the data balance checking process 200 includes step S201, step S202, step S203, step S204, step S205 and step S206:

[0054] In step S201, initial test data is received, and erroneous data is removed to form intermediate test data.

[0055] In step S202, it is determined whether the intermediate test data satisfies the law of conservation of mass. If so, step S204 is executed; otherwise, step S203 is executed.

[0056] The law of conservation of mass here means that the sum of the masses of the substances participating in the chemical reaction is equal to the sum of the masses of the substances generated after the reaction. This law is called the law of conservation of mass. If the intermediate test data does not satisfy the law of conservation of mass, it means that there are errors or measurement errors in the initial test data collected. At this time, it is necessary to fine-tune the data with errors or measurement errors.

[0057] Among them, the conservation of mass mainly includes the conservation of mass of elements such as carbon, hydrogen, oxygen, nitrogen, and sulfur, and the conservation of mass of ash.

[0058] In step S203, the intermediate test data is fine-tuned to form second intermediate data satisfying the mass conservation law, and then the process returns to step S202.

[0059] In step S204, thermodynamic equilibrium calculation is performed on the second intermediate data to obtain at least the reaction temperature of the gasifier and the equilibrium gas composition of the synthesis gas.

[0060] Here, thermodynamic equilibrium means that the chemical reaction process of pulverized coal gasification satisfies the first law of thermodynamics and the second law of thermodynamics. When the properties in the system do not change over time, the system is in a state of thermodynamic equilibrium. Therefore, the reaction temperature of the gasifier and the equilibrium gas composition of the syngas can be calculated based on the principle of thermodynamic equilibrium.

[0061] In step S205, the reaction temperature of the gasifier and the equilibrium gas composition of the syngas are stored.

[0062] In step S206, a normal data reference value is determined from the design standard, and the normal data reference value is compared with the second intermediate data to determine an abnormal value of the second intermediate data.

[0063] In the operation process of the gasifier in the embodiment of the present application, the normal data reference values ​​such as the calculation results of the gasifier based on thermodynamic equilibrium and the results satisfying the law of conservation of mass after fine-tuning can be stored in the typical operation case. Then, the second intermediate data such as the reaction temperature of the gasifier and the equilibrium gas composition of the synthesis gas are compared with the normal data reference value. If a certain value of the second intermediate data is not within the normal data reference value range, it can be determined that the certain value of the second intermediate data is an abnormal value.

[0064] In the embodiment of the present application, for example, the design standard stipulates that the effective gas production is 110000 Nm3 / h. After the law of conservation of mass and thermodynamic equilibrium calculation, the current operating data of the gasifier is obtained as the synthesis gas production is 144650 Nm3 / h, of which the CO volume fraction is 64.1%, and the H2 volume fraction is 26.2%, that is, the effective gas production is equivalent to 130619 Nm3 / h, which exceeds the design standard value by 18.7%, and is a high-load operation state.

[0065] The embodiment of the present application may also set thresholds, such as temperature thresholds, pressure thresholds, and liquid level thresholds.

[0066] The embodiment of the present application can also evaluate the operating status of the gasifier, which can be divided into safety evaluation and economic evaluation. The economic evaluation uses the operating data of a typical case as input value, and obtains an economic conclusion by comparing the operating data with the design performance parameters of the gasifier. The result of the abnormal data identification is the input value of the safety evaluation, and the safety conclusion is obtained by comparing it with the various thresholds of the gasifier.

[0067] Among them, the operating status of the gasifier can be divided into four states: excellent, good, general, and poor. For example, a gasifier with an excellent status should meet the requirement that the deviation between the operating data and the design performance in the economic evaluation does not exceed 10%, and all requirements in the safety evaluation are met; a gasifier with a good status should meet the requirement that the deviation between the operating data and the design performance in the economic evaluation does not exceed 25%, and one or two operating data in the safety evaluation have a deviation of less than 5% from the threshold; a gasifier with a poor status is a gasifier with a deviation of more than 40% between the operating data and the design performance in the economic evaluation, or more than five operating data in the safety evaluation have a deviation of more than 10% from the threshold; other operating states are general.

[0068] The optimization analysis module 103 is used to perform data mining and parameter optimization on the gasifier according to the judgment result of the operation management module.

[0069] The optimization analysis module 103 in the embodiment of the present application includes a data mining module 1031 and a parameter optimization module 1032 .

[0070] The data mining module 1031 is used to extract basic operating characteristics of the gasifier using a data mining model.

[0071] The data mining model in this application is constructed based on historical data using a machine learning algorithm. The machine learning algorithm may include algorithms such as artificial neural networks, random tree models, random forest models, etc. The basic operating characteristics of the gasifier mainly refer to the model parameters of the artificial intelligence big data learning method, which are applied to the parameter optimization.

[0072] The parameter optimization module 1032 is used to compare the output parameters of the gasifier with the optimization requirements, adjust the input parameters when the optimization requirements are not met, and output the optimization plan when the optimization requirements are met.

[0073] The optimization requirements in the embodiments of the present application include at least one of the following: oxygen-coal ratio requirement, carbon conversion rate requirement, effective gas production requirement, operating temperature requirement and coal blending scheme requirement.

[0074] like Figure 3 As shown, it is a schematic flow chart of the parameter optimization process. Figure 3 The parameter optimization process in includes step S301, step S302, step S303, step S304, step S305 and step S306:

[0075] In step S301, operating parameters of a gasifier are received.

[0076] In step S302, a data mining model is used to extract basic operating characteristics of the gasifier.

[0077] In step S303, output parameters of the gasifier are obtained based on basic operating characteristics of the gasifier.

[0078] The operating parameters of the gasifier operation in the embodiment of the present application are the input values ​​of the parameter optimization. After mass conservation, energy conservation, thermodynamic equilibrium calculation and data mining model analysis, the output parameters of the gasifier operation are calculated.

[0079] In step S304, it is determined whether the output parameters meet the preset optimization requirements. If so, step S305 is executed; otherwise, the process returns to step S301.

[0080] In step S305, an optimization plan for the gasifier is output.

[0081] The output parameters of the gasifier operation in the embodiment of the present application are compared with the optimization requirements, and an optimization plan report is output if the requirements are met, and the input values ​​are adjusted and recalculated if the requirements are not met. The optimization requirements may include, for example, the adjustment of the oxygen-coal ratio, the carbon conversion rate requirements, the effective gas production requirements, the operating temperature requirements, the adjustment of the coal blending plan, and other aspects.

[0082] The data display module 104 is used to provide a human-computer interaction interface.

[0083] The data display module includes a display module 1041 and an input module 1042;

[0084] The display module 1041 is used to display at least part of the initial test data, abnormality reports, evaluation reports, typical operation cases, and optimization solutions;

[0085] The input module 1042 is used to input and modify the initial test data.

[0086] The data display module in this application realizes the input / output display of data. The display module 1041 of the data display module provides a display interface for abnormal value reports, safety evaluations, economic evaluations, and typical operation cases in the operation management module. The data display module provides a display interface for optimization solution reports in the optimization analysis module.

[0087] In another embodiment of the present application, Figure 4 , which is a schematic diagram of the operation and control system architecture of the pulverized coal gasifier according to an embodiment of the present application.

[0088] The data management module in the figure collects DCS data, field test data and laboratory test data, and then stores the collected data in the historical database or real-time database. Then the data display module can display part or all of the data in the historical database and real-time database according to user needs.

[0089] After the optimization analysis module performs data mining and parameter optimization, if the optimization requirements are met, an optimization solution report can be output and displayed in the data display module.

[0090] The operation management module is used for data balance verification, abnormal data identification, and gasifier operation status judgment, and then outputs abnormal value reports, safety evaluation, economic evaluation, and typical operation cases, etc. The abnormal value reports, safety evaluation, economic evaluation, and typical operation cases, etc. can be displayed in the data display module.

[0091] The operation and control system of the pulverized coal gasifier in the embodiment of the present application balances and checks the initial test data collected by the data management module, judges the operating status of the gasifier, and performs data mining and parameter optimization on the gasifier based on the judgment result. It can guide the operation of the gasifier, improve the operating performance of the gasifier, and achieve more efficient utilization of pulverized coal.

[0092] like Figure 5 , which is a schematic flow chart of the operation control method of the pulverized coal gasifier according to an embodiment of the present application. The operation control method 500 of the pulverized coal gasifier according to the embodiment of the present application may include the following steps S501, S502 and S503;

[0093] In step S501, initial test data is collected, sent to the operation management module, and stored.

[0094] In step S502, the initial test data is subjected to a balance check, and then abnormal data in the check data is identified, and the operating state of the gasifier is determined.

[0095] In step S503, according to the judgment result of the operation management module, data mining and parameter optimization are performed on the gasifier, and an optimization plan is given according to the optimization requirements.

[0096] The operation control method of the pulverized coal gasifier of the embodiment of the present application can achieve the same functions as the operation control system of the pulverized coal gasifier described above, and therefore has the same advantages as the operation control system of the pulverized coal gasifier described above.

[0097] Although example embodiments have been described herein with reference to the accompanying drawings, it should be understood that the above example embodiments are merely exemplary and are not intended to limit the scope of the present application to this. Those of ordinary skill in the art may make various changes and modifications therein without departing from the scope and spirit of the present application. All these changes and modifications are intended to be included within the scope of the present application as required by the appended claims.

[0098] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0099] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed.

[0100] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0101] Similarly, it should be understood that in order to streamline the present application and help understand one or more of the various inventive aspects, in the description of the exemplary embodiments of the present application, the various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the method of the present application should not be interpreted as reflecting the following intention: the claimed application requires more features than the features clearly stated in each claim. More specifically, as reflected in the corresponding claims, the inventive point is that the corresponding technical problem can be solved with features less than all the features of a single disclosed embodiment. Therefore, the claims following the specific embodiment are hereby explicitly incorporated into the specific embodiment, wherein each claim itself serves as a separate embodiment of the present application.

[0102] It will be understood by those skilled in the art that, except for mutually exclusive features, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this specification may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature that provides the same, equivalent or similar purpose.

[0103] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present application and form different embodiments. For example, in the claims, any one of the claimed embodiments can be used in any combination.

[0104] The various component embodiments of the present application can be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) can be used in practice to implement some or all functions of some modules according to the embodiments of the present application. The application can also be implemented as a device program (e.g., computer program and computer program product) for executing a part or all of the methods described herein. Such a program implementing the present application can be stored on a computer-readable medium, or can have the form of one or more signals. Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0105] It should be noted that the above embodiments illustrate the present application rather than limit the present application, and that those skilled in the art may design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets should not be constructed as a limitation to the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of multiple such elements. The present application may be implemented by means of hardware including several different elements and by means of a suitably programmed computer. In a unit claim that lists several devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names.

[0106] The above is only a specific implementation or description of a specific implementation of the present application, and the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. The protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. An operation control system for a pulverized coal gasifier, characterized in that: The system includes a data management module, an operation management module, an optimization analysis module and a data display module: The data management module is used to collect initial test data, send the initial test data to the operation management module, and store the initial test data; The operation management module is used to perform a balance check on the initial test data, then identify abnormal data in the check data, and determine the operation status of the gasifier; The optimization analysis module is used to perform data mining and parameter optimization on the gasifier according to the judgment result of the operation management module; The data display module is used to provide a human-computer interaction interface.

2. The system according to claim 1, characterized in that The initial test data at least includes test data collected from a distributed control system, field test data, and laboratory test data.

3. The system according to claim 1, characterized in that The initial test data includes at least one of the following: coal quantity, oxygen quantity, water vapor input quantity, coal gas output quantity, steam production quantity, temperature of each measuring point of the coil, online synthesis gas composition test value, coal quality composition data, ash composition data, coal quality reaction activity, pulverized coal particle size, offline analysis results of synthesis gas components, total ash mass, coarse and fine slag ratio, and residual carbon value.

4. The system according to claim 1, characterized in that The operation management module is also used to delete erroneous data in the initial test data to form intermediate test data.

5. The system according to claim 4, characterized in that The operation management module includes: A verification module, used to form intermediate test data and determine whether the intermediate test data satisfies the law of conservation of mass; An adjustment module, configured to, if the intermediate test data does not satisfy the law of conservation of mass, fine-tune the intermediate test data to form second intermediate data satisfying the law of conservation of mass; A calculation module, configured to perform a thermodynamic equilibrium calculation on the second intermediate data when the intermediate test data satisfies the law of conservation of mass, to obtain at least the reaction temperature of the gasifier and the equilibrium gas composition of the synthesis gas; The comparison module is used to determine a normal data reference value from a design standard, compare the normal data reference value with the second intermediate data, and determine an abnormal value of the second intermediate data.

6. The system according to claim 5, characterized in that The design criteria in the comparison module include at least one of the following: coal quantity, oxygen-coal ratio, effective gas production, carbon conversion rate, operating temperature, gasifier wall temperature, coarse and fine slag ratio and residual carbon value.

7. The system according to claim 1, characterized in that The optimization analysis module includes a data mining module and a parameter optimization module; The mining module is used to extract basic operating characteristics of the gasifier using a data mining model; The parameter optimization module is used to compare the output parameters of the gasifier with the optimization requirements, adjust the input parameters when the optimization requirements are not met, and output the optimization plan when the optimization requirements are met.

8. The system according to claim 7, characterized in that in, The data mining model is constructed based on historical data using a machine learning algorithm.

9. The system according to claim 7, characterized in that The optimization requirement includes at least one of the following: oxygen-coal ratio requirement, carbon conversion rate requirement, effective gas production requirement, operating temperature requirement and coal blending scheme requirement.

10. The system according to claim 1, characterized in that The data display module includes a display module and an input module; The display module is used to display at least part of the initial test data, abnormality report, evaluation report, typical operation case, and optimization report; The input module is used to input and modify the initial test data.

11. A method for controlling the operation of a pulverized coal gasifier, characterized in that: include: Collecting initial test data, sending the initial test data to the operation management module, and storing the initial test data; Performing a balance check on the initial test data, then identifying abnormal data in the check data, and determining the operating state of the gasifier; According to the judgment result of the operation management module, data mining and parameter optimization are performed on the gasifier, and an optimization plan is given according to the optimization requirements.

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