METHOD AND APPARATUS FOR AUTOMATIC REGULATION AND CONTROL OF OXYGAS COMBUSTION FOR CEMENTITIOUS PROCESSES, AND DEVICE
The method and apparatus for automatic oxygas combustion control in cement production stabilize the process, enhance clinker quality, and reduce emissions by optimizing combustion parameters using a neural network model.
Patent Information
- Application Number
- FR2024013884
- Authority / Receiving Office
- FR · FR
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-08-02
- Filing Date
- 2024-12-11
- Publication Date
- 2026-02-06
AI Technical Summary
The cement production industry lacks intelligent control and automatic regulation technologies for oxygas combustion processes, leading to production instability and high carbon emissions.
A method and apparatus for automatic regulation and control of oxygas combustion using a process optimization model, integrating raw material and historical data to optimize combustion parameters, and a neural network model for predictive control, ensuring efficient decomposition and stable production.
Improves production stability, enhances clinker quality, reduces energy consumption and emissions, and increases carbon dioxide concentration in flue gases for efficient capture and utilization.
Smart Images
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Abstract
Description
Title of the invention: METHOD AND APPARATUS FOR AUTOMATIC REGULATION AND CONTROL OF OXYGAS COMBUSTION FOR CEMENT AREA PROCESS, AND DEVICE technical field
[0001] The present invention relates to the technical field of cement process control, and in particular to a process and apparatus for the automatic regulation and control of oxygas combustion for cement processes, and a device. PRIOR ART
[0002] As a traditional, energy-intensive, and high-emission industry, the cement production industry is under significant pressure to conserve energy and reduce carbon emissions in implementing the "dual carbon" (peak carbon and carbon neutrality) strategy. In terms of energy conservation and carbon emission reduction for cement clinker, the main current approaches include raw material substitution, fuel substitution, and new calcination processes. Oxygas combustion technology is one such new calcination process for cement clinker.
[0003] The oxygas combustion technology for cement is a process in which the organic materials in the raw cement materials are completely oxidized at high temperatures. In traditional cement production, the combustion process suffers from incomplete combustion, resulting in high carbon dioxide emissions. The oxygas combustion technology for cement introduces pure oxygen at high temperatures, which ensures complete combustion in the combustion reaction, thus reducing carbon dioxide emissions. Developing oxygas combustion technology makes it possible to improve the composition of the flue gases from a cement kiln, reduce the nitrogen oxide content, and increase the carbon dioxide concentration, thereby facilitating centralized carbon dioxide treatment.Compared to traditional calcination processes, the oxygas combustion process can utilize techniques such as pressure-modulated adsorption and adsorption-distillation for CO2 flue gas capture, reducing operating costs by 28-47% and capital expenditures by 20-35%. Furthermore, an appropriate O2 / CO2 partial pressure can improve clinker performance and increase material utilization. additional low-carbon cementitious agents in cement, thereby reducing carbon emissions from the cement industry.
[0004] Prior technologies implement intelligent control and automatic regulation of traditional cement production; however, there is a lack of technologies for intelligent control and automatic regulation of the oxygas combustion process of cement clinker. Process regulation and control parameters rely primarily on the technical expertise of technicians, which can lead to production instability. Summary of the invention
[0005] In this regard, the present invention provides a method and apparatus for automatic regulation and control of oxygas combustion for cementitious processes, and a device, in order to solve the problem of how to improve process control of oxygas combustion and improve production stability.
[0006] In a first aspect, the present invention provides a method for the automatic regulation and control of oxygas combustion for a cementitious process, the method comprising:
[0007] acquire raw material data for raw cement meal and initial process parameter data at each stage of the oxygas combustion process for cement process;
[0008] preprocess the acquired data and then integrate it with the preprocessed data in a pre-built process optimization model to obtain optimized oxygas combustion parameters for a cement process; and
[0009] send the optimized oxygas combustion parameters for cement process to a process control system, and generate corresponding control instructions to regulate and control the process parameters.
[0010] The automatic regulation and control method for oxygas combustion in cementitious processes provided by the embodiments of the present invention uses the process optimization model to implement the automatic optimization of data collected in the oxygas combustion process, thereby achieving automatic regulation and control of process parameters and improving production stability. This allows the key parameters of the cement clinker calcination process to be within the optimal range for clinker firing, ensures efficient decomposition of calcium carbonate in the raw materials, and increases the tricalcium silicate content in the clinker, thereby improving clinker quality. This can improve fuel combustion efficiency and reduce energy losses in the clinker calcination process, while also improving the concentration of carbon dioxide in the flue gases and increasing the carbon dioxide content in the flue gases, which is conducive to the subsequent capture of carbon and its utilization, and allows for a reduction in energy consumption and carbon emissions from cement clinker production while improving the stability of clinker production.
[0011] In certain optional implementations, a process for building a process optimization model includes:
[0012] acquire raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement process, as a training data set;
[0013] optimize the constraint conditions based on the training dataset and the predefined target process, and train a predefined neural network model to obtain a trained model as a process optimization model, which is used to predict the oxygas combustion parameters for the cement process.
[0014] Embodiments of the present invention use the neural network model to implement the design of automatic regulation and control, prediction and optimization of data collected in the oxygas combustion process, thereby achieving automatic regulation and control of various process parameters in the production of clinker by oxygas combustion, and improving production stability.
[0015] In an optional implementation, acquiring raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement production includes, as a training dataset:
[0016] acquire the components of the raw materials for raw cement flour, and their losses by calcination;
[0017] providing sensors at general data collection points on a cement production line and at key oxygas combustion equipment nodes for the cement process in order to obtain the parametric process data collected by the sensors over a predefined period of time; and
[0018] pretreat the components of the raw materials for raw cement flour, and their losses by calcination, and the parametric process data collected to obtain the training data set.
[0019] In an optional implementation, the preprocessing of the data includes: handling missing values, excluding data from sweeping periods, and performing normalization.
[0020] In an optional implementation, optimizing the constraint conditions based on a predefined target process includes: optimizing a target value for clinker quality under oxygas combustion conditions, a target value for limestone decomposition rate, and a target value for carbon dioxide concentration in the residual gases.
[0021] In an optional implementation, the clinker quality is determined by the rate of limestone decomposition and a CO2 / O2 ratio in a calcination environment;
[0022] The process parameters influencing the limestone decomposition rate include: the feed quantity, the O2 / CO2 ratio in each cyclone of a preheater, the carbon dioxide concentration in the waste gases, the calcination temperature, the amount of coal fed into a furnace inlet, the primary air velocity, the primary air pressure, the rotary kiln velocity, the secondary air temperature, the amount of coal fed into a furnace outlet, the furnace outlet combustion chamber temperature, the furnace outlet combustion chamber pressure, the decomposition furnace temperature, the decomposition furnace outlet pressure, the decomposition furnace outlet temperature, the tertiary air temperature, the tertiary air pressure, and the decomposition furnace voltages and currents, the preheating system, and the rotary kiln; and
[0023] The process parameters influencing the carbon dioxide concentration of the residual gases include: furnace outlet combustion chamber temperature, furnace outlet combustion chamber pressure, furnace outlet combustion chamber CO2 concentration, secondary air temperature, secondary air pressure, decomposition furnace temperature, outlet temperature and outlet pressure of each preheater cyclone, high-temperature fan current, high-temperature fan rotation speed, high-temperature fan voltage, tertiary air temperature, tertiary air pressure, and decomposition furnace voltages and currents, the preheating system and the rotary furnace.
[0024] Embodiments of the present invention implement regulation and control using the process optimization model obtained by training under constraint conditions: the target value of clinker quality under oxygas combustion conditions, the target value of limestone decomposition rate, and the target value of carbon dioxide concentration in the residual gases, and can thus achieve process optimization with the objectives of high clinker quality, complete limestone decomposition, and a high concentration of carbon dioxide in the residual gases.
[0025] In a second aspect, the present invention provides an automatic regulation and control device for oxygas combustion in cementitious processes, the device comprising:
[0026] an acquisition module configured to acquire raw material data for raw cement flour and initial process parameter data at each stage of the oxygas combustion process for cement process;
[0027] a process parameter prediction module configured to preprocess the acquired data and then integrate it with the preprocessed data into a pre-built process optimization model to obtain optimized oxygas combustion parameters for a cement process; and
[0028] a process parameter regulation and control module configured to send the optimized oxygas combustion parameters for cement process to a process control system, and to generate corresponding control instructions to regulate and control the process parameters.
[0029] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor mutually connected in communication, in which the memory is provided with computer instructions which are stored therein, and the processor is configured to execute the computer instructions in order to execute the automatic regulation and control process of oxygas combustion for cement process of the first aspect or any corresponding implementation therein.
[0030] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium is provided with computer instructions stored therein, wherein the computer instructions are configured so that the computer executes the automatic regulation and control process of oxygas combustion for cement process of the first aspect or any corresponding implementation therein.
[0031] In a fifth aspect, the present invention provides a computer program product, wherein the computer program product comprises computer instructions, wherein the computer instructions are configured so that the computer executes the automatic regulation and control process of oxygas combustion for cement process of the first aspect or any corresponding implementation thereof. BRIEF DESCRIPTION OF THE FIGURES
[0032] In order to describe more clearly the technical solutions of the specific implementations of the present invention or of the prior art, the accompanying figures are to be used in the description of the specific implementations or of the prior art Prior examples will be briefly presented below. Of course, the accompanying figures in the following description constitute certain implementations of the present invention, and a person skilled in the art can obtain other figures based on these figures without creative effort.
[0033] The [Fig. 1] is a flow diagram of an automatic regulation and control process of oxygas combustion for cement process according to embodiments of the present invention;
[0034] The [Fig.2] is a schematic diagram of real-time parameter collection for oxygas combustion for cement process and automatic regulation and control by process optimization model according to embodiments of the present invention;
[0035] Figure 3 is a block diagram of an automatic oxygas combustion regulation and control device for a cement process according to embodiments of the present invention; and
[0036] The [Fig.4] is a structural hardware diagram of a computer device of embodiments of the present invention. DETAILED DESCRIPTION
[0037] In order to clarify the objects, technical solutions, and advantages of the embodiments of the present invention, the technical solutions of the embodiments of the present invention are clearly and fully described below in conjunction with the Figures of the embodiments of the present invention. Of course, the described embodiments constitute a part, and not all, of the embodiments of the present invention. All embodiments derived by a person skilled in the art based on the embodiments of the present invention without creative effort are covered by the scope of protection of the present invention.
[0038] In order to improve the control of the oxygas combustion process and to reduce the undesirable effects of excess CO2 partial pressure during oxygas / oxygen-enriched combustion on calcium carbonate decomposition and clinker performance, embodiments of the present invention provide a method for the automatic regulation and control of oxygas combustion for cement production. It should be noted that the steps illustrated in the flow diagram of the accompanying figures can be performed on a computer as a set of computer-executable instructions, and although a logical sequence is illustrated in the flow diagram, in certain situations the steps shown or described may be performed in a different sequence than that illustrated here.
[0039] In this embodiment, an automatic regulation and control method for oxygas combustion in a cement process is provided and can be used on the computer device described above. Figure 1 is a flow diagram of an automatic regulation and control method for oxygas combustion in a cement process according to the embodiments of the present invention. As shown in Figure 1, the method comprises the following steps:
[0040] Step S101, acquire raw material data for raw cement meal and initial process parameter data at each step of the oxygas combustion process for cement process.
[0041] Specifically, an automatic regulation and control method for an oxygas production line for ordinary silicate cement in a cement plant is used as an example in embodiments of the present invention. Data on the components of raw materials of raw meal used for cement and their calcination losses (Losses) are shown in Table 1:
[0042] [Tables 1 Raw materials CaO SiO2 Al2O3 Fe2O3 MgO SO3 K2O Na2O Losses Limestone 48.24 5.76 1.46 0.70 1.78 0.30 0.43 0.08 41.25 Coal furnace slag 5.17 52.01 21.87 4.13 0.26 0.03 2.56 1.07 2.90 Gold and iron powder 2.02 79.41 3.20 9.77 2.04 0.28 0.59 0.23 2.46 Gas ash 5.43 10.37 5.75 34.96 1.59 0.13 0.91 0.39 40.48
[0043] Acquiring initial process parameter data at each stage of the oxygas combustion process for cement production mainly involves: establishing general data collection locations for the cement production line and the oxygas combustion process. Data collection devices, including gas analyzers, temperature sensors, current sensors, and voltage sensors, are arranged at locations such as the combustion chamber outlet of a rotary cement kiln, the outlet of a decomposition kiln, and the cyclone outlets (e.g., cyclones C1-C5) of a preheater to implement real-time collection of gas concentrations, temperatures, pressures, currents, voltages, and other device parameters. Data preprocessing includes handling missing values and excluding data from cleaning periods. the implementation of standardization, etc., and are only examples, not limits.
[0044] Step S102, preprocessing of acquired data and integration of preprocessed data into a pre-constructed process optimization model to obtain optimized oxygas combustion parameters for cement process.
[0045] A construction process for the process optimization model in embodiments of the present invention comprises: acquiring raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement production, as a training dataset; and optimizing the constraint conditions based on the training dataset and a predefined target process, and training a predefined neural network model to obtain a trained model as a process optimization model, which is used to predict the oxygas combustion parameters for cement production.
[0046] The parametric process data for each step of the oxygas combustion process in the cement manufacturing process mainly involve: the locations for collecting general data from the cement production line and the oxygas combustion process for the cement manufacturing process. Gas analyzers and temperature sensors are arranged in locations such as the combustion chamber at the outlet of a rotary cement kiln, the outlet of a decomposition kiln, and the cyclone outlets of the preheater to collect oxygen and carbon dioxide concentrations and gas temperatures in the corresponding parts, and to analyze the O2 / CO2 ratios.Once the data are removed from the cleaning periods, the data are combined with parameters such as decomposition furnace inlet temperature, rotary furnace inlet burner temperature, primary air velocity, and oxygen addition velocity are collected in traditional locations, missing values are processed and normalization is performed to train a dataset for regulation and control, as specifically represented in Table 2: .
[0047] [Tables2] Time Ratio Temperate Temperate Pressure Speed of Speed of Temperate O2 / CO2 of duration in 1 duration in 1 in the e grid of e grid of duration of vit in the pre e preheated a chamber chamber first second esse of g driver efeurCl e of comb of comb section of section of grid Consumption of Consumption of u cooled u cooled outlet outlet outlet grease ser with grid ser 14:00: 00 0.14:0.86 337 1116 -324 6.0 8.0 60 14:00: 01 0.12:0.88 334 1100 -335 5.8 7.7 58 ...... ...... ...... ...... ...... ...... ...... ...... 14:09: 59 0.13:0.87 342 1124 -328 5.5 7.5 55
[0048] It should be noted that a large amount of parametric process data must be acquired, and cannot be fully mentioned in Table 2, which is given only as an illustrative example.
[0049] In addition, the dataset for regulation and control and the raw material data for raw cement flour are integrated as training data into an artificial neural network (the parameters of the artificial neural network are defined as follows by way of example: the number n of layers of the neural network is 5, the number m of output units in each layer is Cao, a one-dimensional row is equal to the number of input data parameters, the number of iterations k is 1000, and the predefined threshold values are a mean squared error mse < 0.01 and a mean absolute error mae < 0.01, which are provided only by way of example, while the parameters can be reasonably put into practice).The model is trained under constraint conditions of limestone decomposition rate greater than 98%, a CO2 / O2 ratio of 0.59 / 0.41 to 0.69 / 0.31 in a calcination environment, and a carbon dioxide concentration of more than 35% in the flue gas. Process parameter optimization is performed using a trained process optimization model to achieve process optimization with the objectives of high-quality clinker, complete limestone decomposition, and a high carbon dioxide concentration in the flue gas.
[0050] It should be noted that the quality of the clinker is primarily determined by the rate of limestone decomposition and the CO2 / O2 ratio in the calcination environment. Process parameters influencing the rate of limestone decomposition include: the feed quantity, the O2 / CO2 ratio in each cyclone of a preheater, the carbon dioxide concentration in the exhaust gases, the calcination temperature, the amount of coal fed into a kiln inlet, the primary air velocity, the primary air pressure, the rotary kiln speed, the secondary air temperature, the amount of coal fed into a kiln outlet, the kiln outlet combustion chamber temperature, and the pressure of furnace outlet combustion chamber, decomposition furnace temperature, decomposition furnace outlet pressure, decomposition furnace outlet temperature, tertiary air temperature, tertiary air pressure, and voltages and currents of equipment such as the decomposition furnace, preheating system and rotary furnace etc.The CO2 / O2 ratio in the calcination environment is determined by the O2 / CO2 ratio in each preheater cyclone, the furnace outlet combustion chamber temperature, the furnace outlet combustion chamber pressure, the furnace outlet combustion chamber CO2 concentration, the furnace outlet combustion chamber pressure, the outlet temperature and outlet pressure of each preheater cyclone, the first section grate speed of the grate cooler, the second section grate speed of the grate cooler, the grate plate temperature, the clinker temperature, and the voltages and currents of equipment such as the decomposition kiln, the preheating system and the rotary kiln etc.Process parameters influencing carbon dioxide concentration in residual gases include: furnace outlet combustion chamber temperature, furnace outlet combustion chamber pressure, furnace outlet combustion chamber CO2 concentration, secondary air temperature, secondary air pressure, decomposition furnace temperature, outlet temperature and outlet pressure of each preheater cyclone, high-temperature fan current, high-temperature fan rotation speed, high-temperature fan voltage, tertiary air temperature, tertiary air pressure, and voltages and currents of equipment such as the decomposition furnace, preheating system and rotary kiln etc.
[0051] Step S103, send the optimized oxygas combustion parameters for the cement process to a process control system, and generate corresponding control instructions to regulate and control the process parameters.
[0052] The process parameters generated in one embodiment are shown in Table 3:
[0053] [Tables3] Carbon feed quantity at the kiln inlet, primary air velocity, oxygen addition velocity, raw flour feed quantity, carbon feed quantity at the kiln outlet... Optimized parameters: 13.5, 180, 150, 388, 20.9...
[0054] It should be noted that the large amount of optimized process parametric data cannot be fully mentioned in Table 3, therefore the above process parameters are given only as an illustrative example.
[0055] As shown in [Fig.2], the optimized return process parameters after processing by the process optimization model are sent to the process control system, and on this basis, a control module of the process control system generates control and regulation instructions to regulate and control the partial pressure of oxygen entering the oxygen generation device of the oxygas combustion production line and to adjust the other conventional parameters, thus completing the automatic regulation and control of the atmosphere of the oxygas combustion process, and implementing the process optimization with the objectives of high clinker quality, complete limestone decomposition, and a high concentration of carbon dioxide in the residual gas.
[0056] The automatic regulation and control method for oxygas combustion in cement production, as provided in the embodiments of the present invention, uses a neural network model to implement the automatic regulation, control, prediction, and optimization of data collected in the oxygas combustion process. This achieves the regulation and control of various process parameters in clinker production by oxygas combustion and improves production stability. This allows the key parameters of the cement clinker calcination process to be within the optimal range for clinker firing, ensures efficient decomposition of calcium carbonate in the raw materials, and increases the tricalcium silicate content in the clinker, thereby improving clinker quality.This can improve fuel combustion efficiency and reduce energy losses in the clinker calcination process, while also improving the carbon dioxide concentration in the flue gases and increasing the carbon dioxide content in the flue gases, which is conducive to subsequent carbon capture and utilization, and allows for reduced energy consumption and carbon emissions from cement clinker production while improving the stability of clinker production.
[0057] This embodiment also provides an automatic regulation and control device for oxygas combustion in cementitious processes. The device is used to implement the above embodiment and the preferred implementations, which have been illustrated and will not be described here. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented by software, implementations by hardware or by a combination of software and hardware are also possible and envisaged.
[0058] This embodiment provides an automatic regulation and control device for oxygas combustion in a cementitious process, as shown in [Fig. 3], the device comprising:
[0059] an acquisition module 301 configured to acquire raw material data for raw cement flour and initial process parameter data at each stage of the oxygas combustion process for cement process;
[0060] a process parameter prediction module 302 configured to preprocess the acquired data and then integrate it with the preprocessed data into a pre-built process optimization model to obtain optimized oxygas combustion parameters for a cement process; and
[0061] a process parameter regulation and control module 303 configured to send the optimized oxygas combustion parameters for cement process to a process control system, and to generate corresponding control instructions to regulate and control the process parameters.
[0062] In certain optional implementations, the process parameter prediction module 302 includes:
[0063] a training dataset generation unit configured to acquire raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement production, as a training dataset; and
[0064] a model training unit configured to optimize constraint conditions based on the training dataset and a predefined target process, and to train a predefined neural network model to obtain a trained model as a process optimization model, which is used to predict oxygas combustion parameters for a cement process.
[0065] In certain optional implementations, the training dataset generation unit includes:
[0066] a raw material acquisition subunit configured to acquire the components of raw materials and their calcination losses for raw cement flour.
[0067] a process parameter acquisition subunit configured to provide sensors at general data collection points on a cement production line and at key oxygas combustion equipment nodes for the cement process in order to obtain the parametric process data collected by the sensors over a predefined period of time; and
[0068] a training dataset acquisition subunit configured to preprocess the components of raw materials and their calcination losses for the raw cement flour, and the parametric process data collected to obtain the training dataset.
[0069] In some optional implementations, data preprocessing includes: handling missing values, excluding data from sweeping periods, and performing normalization.
[0070] In certain optional implementations, optimizing the constraint conditions based on a predefined target process includes: optimizing a target value for clinker quality under oxygas combustion conditions, a target value for limestone decomposition rate, and a target value for carbon dioxide concentration in the residual gases.
[0071] In certain optional implementations, the clinker quality is determined by the rate of limestone decomposition and a CO2 / O2 ratio in a calcination environment;The rate of limestone decomposition is determined by the amount of feed, the O2 / CO2 ratio in each cyclone of a preheater, the carbon dioxide concentration in the waste gases, the calcination temperature, the amount of coal fed into a kiln inlet, the primary air velocity, the primary air pressure, the rotary kiln velocity, the secondary air temperature, the amount of coal fed into a kiln outlet, the kiln outlet combustion chamber temperature, the kiln outlet combustion chamber pressure, the decomposition kiln temperature, the decomposition kiln outlet pressure, the decomposition kiln outlet temperature, the tertiary air temperature, the tertiary air pressure, and the decomposition kiln voltages and currents, the preheating system, and the rotary kiln; and;
[0072] The carbon dioxide concentration of the residual gas is determined by the furnace outlet combustion chamber temperature, the furnace outlet combustion chamber pressure, the furnace outlet combustion chamber CO2 concentration, the secondary air temperature, the secondary air pressure, the decomposition furnace temperature, the outlet temperature and outlet pressure of each preheater cyclone, the high-temperature fan current, the high-temperature fan rotation speed, the high-temperature fan voltage, the tertiary air temperature, the tertiary air pressure, and the decomposition furnace voltages and currents, the preheating system and the rotary furnace.
[0073] The detailed functional description of the aforementioned modules and units is identical to that of the corresponding embodiments described above and will not be repeated here.
[0074] The automatic regulation and control device for oxygas combustion in a cement process in this embodiment is presented as a functional unit. The unit refers to the ASIC circuitry (Application Specifies Integrated Circuit (Application-Specific Integrated Circuit), a processor and memory running one or more software or fixed programs, and / or other devices capable of providing the aforementioned functions.
[0075] Embodiments of the present invention also provide a computer device equipped with the automatic regulation and control device for oxygas combustion for the aforementioned cement process as shown in [Fig.3].
[0076] With reference to [Fig. 4], which is a structural diagram of a computer device of an optional embodiment of the present invention, as shown in [Fig. 4], the computer device comprises: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. The components are interconnected via different buses and can be mounted on the same motherboard or mounted in other ways as required. The processor can process instructions executed on the computer device, including instructions stored in or on memory, in order to display the graphical information of a GUI on an external input / output medium (e.g., a display device coupled to the interface).In some optional implementations, a plurality of processors and / or a plurality of buses can be used with a plurality of memories, if necessary. Similarly, a plurality of computing devices can be connected, and the devices provide some of the necessary operations (e.g., as a server array, blade server group, or multiprocessor system). A 10-processor is used as an example in [Fig. 4].
[0077] The processor 10 may be a central processing unit, a network processing unit, or a combination thereof. The processor 10 may further include a hardware chip. The aforementioned hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The aforementioned programmable logic device may be a complex programmable logic device, a programmable logic gate array, a generic logic array, or any combination thereof.
[0078] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 implements the method illustrated in the above embodiment.
[0079] The memory 20 may include a program storage area and a data storage area, in which the program storage area may store an operating system and an application program required for at least one function; and the data storage area may store data created based on the use of the computing device, and other data. Furthermore, the memory 20 may include high-speed RAM, and may also include memory non-transient, such as at least one magnetic disk storage device, a flash memory device, or other non-transient semiconductor storage device. In some optional implementations, the memory 20 optionally includes memories provided remotely by the processor 10, and these remote memories can be connected to the computing device via a network. Examples of the aforementioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communications network, and combinations thereof.
[0080] The memory 20 may include volatile memory, such as RAM; the memory may also include non-volatile memory, such as flash memory, a hard disk or a solid-state disk; and the memory 20 may also include a combination of the aforementioned types of memory.
[0081] The computer device also includes a communication interface 30 for communication between the computer device and other communication devices or networks.
[0082] Embodiments of the present invention also provide a computer-readable storage medium. The process described above according to embodiments of the present invention can be implemented in hardware or firmware, or implemented as computer code that can be stored on a storage medium, or implemented as computer code that is downloaded via a network and originally stored on a remote storage medium or a machine-readable non-transient storage medium, and which is to be stored on a local storage medium, so that the process described herein can be processed by such software stored on a storage medium that uses a general-purpose computer, a dedicated processor, or programmable or dedicated hardware.The storage medium can be a magnetic disk, an optical disk, read-only memory, random access memory, flash memory, a hard disk drive, a solid-state disk, or other; furthermore, the storage medium can also include a combination of the aforementioned memory types. It should be understood that the computer, processor, microprocessor, controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, processor, or hardware, the method illustrated in the aforementioned embodiments is implemented.
[0083] A portion of the present invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, are capable of calling up or providing the process and / or technical solution according to the present invention by operation of the computer. Those skilled in the art understand that the forms of the instructions of Computer programs in machine-readable media include, but are not limited to, source files, executable files, installation packages, and the like, and correspondingly, the ways in which computer program instructions are executed by the computer, including but not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes a corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes a corresponding installed program. Machine-readable media can be any available machine-readable storage medium or computer-accessible communication medium.
[0084] Although embodiments of the present invention are described in combination with the accompanying figures, a person skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and said modifications and variations are covered by the scope defined by the amended claims.
Claims
Demands
1. A method for the automatic regulation and control of oxygas combustion for cement processes, wherein the method comprises: acquiring raw material data for raw cement meal and initial process parameter data at each stage of the oxygas combustion process for cement processes; pre-processing the acquired data and then integrating it with the pre-processed data into a pre-built process optimization model to obtain optimized oxygas combustion parameters for cement processes; and sending the optimized oxygas combustion parameters for cement processes to a process control system, and correspondingly generating control instructions to regulate and control the process parameters.
2. A method according to claim 1, wherein a process building process for a process optimization model comprises: acquiring raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement production, as a training dataset; optimizing the stress conditions based on the training dataset and a predefined target process, and training a predefined neural network model to obtain a trained model as a process optimization model, which is used to predict the oxygas combustion parameters for cement production.
3. A method according to claim 2, wherein acquiring raw material data for raw cement meal and historical process parameter data at each stage of the oxygas combustion process for cement production, comprises, as a training data set: acquiring the components of the raw materials for raw cement meal and their calcination losses; providing sensors at general data collection points on a cement production line and at key equipment nodes of the oxygas combustion process for cement production in order to to obtain the parametric process data collected by the sensors during a predefined period of time; and to pretreat the components of the raw materials for the raw cement flour, and their calcination losses, and the parametric process data collected to obtain the training dataset.
4. Method according to claim 3, wherein the data preprocessing comprises: processing missing values, excluding data from sweeping periods, and performing normalization.
5. A process according to claim 2, wherein optimizing the stress conditions based on a predefined target process includes: optimizing a target value for clinker quality under oxygas combustion conditions, a target value for limestone decomposition rate, and a target value for carbon dioxide concentration in the residual gases.
6. A process according to claim 5, wherein the clinker quality is determined by the rate of limestone decomposition and a CO2 / O2 ratio in a calcination environment;The process parameters influencing the rate of limestone decomposition include: the amount of feed, the O2 / CO2 ratio in each cyclone of a preheater, the concentration of carbon dioxide in the residual gases, the calcination temperature, the amount of coal fed to a kiln inlet, the primary air velocity, the primary air pressure, the rotary kiln velocity, the secondary air temperature, the amount of coal fed to a kiln outlet, the kiln outlet combustion chamber temperature, the kiln outlet combustion chamber pressure, the decomposition kiln temperature, the decomposition kiln outlet pressure, the decomposition kiln outlet temperature, the tertiary air temperature, the tertiary air pressure, and the decomposition kiln voltages and currents, the preheating system and the rotary kiln;and process parameters influencing the carbon dioxide concentration of the residual gases include: furnace outlet combustion chamber temperature, furnace outlet combustion chamber pressure, furnace outlet combustion chamber CO2 concentration, secondary air temperature, secondary air pressure, decomposition furnace temperature; the outlet temperature and outlet pressure of each preheater cyclone, the high-temperature fan current, the high-temperature fan rotation speed, the high-temperature fan voltage, the tertiary air temperature, the tertiary air pressure, and the voltages and currents of the decomposition furnace, the preheating system and the rotary furnace.
7. Automatic regulation and control apparatus for oxygas combustion for cement process, wherein the apparatus comprises: a data acquisition module configured to acquire raw material data for raw cement meal and initial process parameter data at each stage of the oxygas combustion process for cement process; a process parameter prediction module configured to preprocess the acquired data and then integrate the preprocessed data into a pre-built process optimization model to obtain optimized oxygas combustion parameters for cement process; and a process parameter regulation and control module configured to send the optimized oxygas combustion parameters for cement process to a process control system, and to generate corresponding control instructions to regulate and control the process parameters.
8. Computer device, wherein the computer device comprises: a memory and a processor mutually connected in communication, wherein the memory is provided with computer instructions stored therein, and the processor is configured to execute the computer instructions in order to carry out the automatic regulation and control process of oxygas combustion for cement process according to any one of claims 1 to 6.
9. Computer-readable storage medium, wherein the computer-readable storage medium has computer instructions stored therein, wherein the computer instructions are configured so that the computer executes the automatic regulation and control process of oxygas combustion for cement process according to any one of claims 1 to 6.
10. Computer program product, wherein the computer program product comprises computer instructions, wherein the computer instructions are configured so that the computer executes the automatic regulation and control process of oxygas combustion for cement process according to any one of claims 1 to 6.